Last updated August 15, 2025

Digital Competition Regulation: Costs, Tradeoffs, and Consequences

The Issue

Inspired by the European Union’s Digital Markets Act (DMA), many jurisdictions have adopted—or are considering—ex ante regulatory frameworks to govern online platforms. These digital competition regulations (DCRs) share two defining features. First, they target “gatekeepers”: the world’s largest online platforms. The rules rest on the assumption that these firms wield enough economic power to harm competition, exclude rivals, exploit users, and cause broader social harms—problems that existing competition law allegedly cannot address. Second, DCRs impose broad, often identical, per se prohibitions and obligations on these firms. Common rules ban self-preferencing and the use of third-party data and may also require interoperability or mandatory data sharing. The case for these regimes is weak. Little evidence suggests that DCRs would make digital markets more competitive or improve consumer outcomes. That risk is especially high in jurisdictions with limited enforcement capacity, more urgent policy priorities, and weaker safeguards against corruption and rent-seeking.

The ‘This Time Is Different’ Fallacy

Lawmakers often gravitate toward new rules. Each wave of technology or business innovation brings the claim that “this time is different” and that laws written decades ago can’t handle the challenges of a new era.

Digital competition regulations follow the same pattern. Most of their prohibitions and obligations repackage familiar antitrust theories of harm in more enforcer-friendly form. Instead of inviting legal fragmentation and discarding time-tested antitrust principles, lawmakers should first ask whether existing rules already do the job.

Regulate for What? A Closer Look at the Rationale and Goals of Digital Competition Regulations

For more on this topic, see the ICLE Issue Spotlight “Digital Competition Regulations Around the World.”

Abstract

This paper explores the discrepancies between the stated and actual goals of Digital Competition Regulations (DCRs), a new regulatory framework that has gained traction globally, particularly following the European Union’s Digital Markets Act (DMA). While DCRs are ostensibly designed to protect competition, the paper argues that their true objectives are more aligned with redistributing economic power, protecting less efficient competitors, and diminishing the competitive advantages of dominant digital platforms (gatekeepers).

Unlike traditional competition law, which seeks to protect the competitive process to benefit consumers, DCRs focus on altering market dynamics through prescriptive interventions. These interventions prioritize fairness and a distorted notion of contestability over efficiency and consumer welfare, leading to regulations that protect competitors rather than competition itself.

Despite an apparent familiar similarity with traditional competition law, DCRs are fundamentally inconsistent with the core principles of competition policy, which emphasize market efficiency, innovation, and consumer benefits. By focusing on leveling the playing field rather than fostering true competition, these regulations may stifle innovation, reduce incentives for investment, and ultimately harm consumers. Thus, while DCRs address concerns about the concentration of economic power in digital markets, their approach is at odds with the established goals of competition policy, raising critical questions about the future of economic regulation in the digital age.

Introduction

Inspired by the European Union’s Digital Markets Act (“DMA”),[1] a growing number of jurisdictions around the globe either have adopted or are considering adopting a framework of ex-ante rules to more closely regulate the business models and behavior of online platforms.

These “digital competition regulations”[2] (“DCRs”) share two key features. The first is that they target so-called “gatekeepers” who control the world’s largest online platforms. Such regulations assume that these firms have accumulated a degree of economic and political power that allows them to harm competition, exclude rivals, exploit users, and possibly inflict a broader range of social harms in ways that cannot be adequately addressed through existing competition laws.[3] Typically cited as examples of gatekeepers are the main platforms of Google, Amazon, Facebook/Meta, Apple, and Microsoft.

The second common feature these DCR regimes share is that they impose similar, if not identical, per se prohibitions and obligations on gatekeepers. These often include prohibitions on self-preferencing,[4] third-party functionality or access restrictions,[5] and the use of third-party data,[6] as well as obligations for interoperability[7] and data sharing.[8]

It is not always entirely clear what DCRs aim to achieve, however. A cursory survey suggests that these rules pursue different goals, without an immediately apparent unifying theme. For example, some DCRs have been integrated into existing competition laws and ostensibly pursue the same goals: the protection of competition and consumer welfare. Others aim for a range of goals—including, but not limited to, competition—such as the protection of small and medium-sized enterprises (“SMEs”); regional equality; social participation; and improving the lot of business users who operate on online platforms. Some DCRs purposefully and explicitly sidestep competition-oriented considerations, aiming instead for such adjacent but ultimately distinct goals as “fairness” and “contestability.”[9]

What emerges is a seeming patchwork of goals and objectives. In this paper, we seek to assess those disparate goals and objectives, drawing on many of the major proposed and enacted DCRs.

Section I examines the goals that DCRs claim to pursue. It takes those goals at face value and offers a largely descriptive account of the objectives offered. Where necessary (such as, for example, where those goals are cryptic or not clearly articulated), reference is made to public statements by those who promulgated them.

Section II argues that DCRs are best understood as a new form of law, grounded in ideas that have found limited success in competition law itself. To some extent, DCRs are based on a common narrative that has transformed some of the core principles and themes of antitrust law. As such, DCRs partially jibe with antitrust law, but ultimately diverge from it in subtle but consequential ways.

Section III argues that, despite superficial differences, DCRs share three common goals. The first is a desire to redistribute rents from some companies to others. At the most fundamental level, DCRs all seek to address what are perceived to be extreme power imbalances between digital platforms and the rest of society—especially business users and competitors. Thus, they seek to redistribute rents away from so-called “gatekeepers” and toward the business users that operate on those platforms, and to promote competitors (including, but not limited to, via rent redistribution).

DCRs are particularly concerned with ensuring that competitors, even if they are less efficient, enter or remain in the market. This is evidenced by a lack of overarching efficiency or consumer-welfare goals—even in those regulations that are based on existing competition laws—that would otherwise enable enforcers to differentiate between anticompetitive exclusion of rivals and market exit that results from rivals’ inferior product offerings. The focus on protecting competitors also stems from DCRs’ pursuit of “contestability.” In this context, promoting contestability entails diminishing the benefits of the network effects and the data advantages enjoyed by incumbents on the theory that they make it difficult for other firms to compete—not because they are harmful to consumers or because they have been acquired illegally or through deceit.

The third way that DCRs seek to balance power relations and achieve fairness is by “leveling down” the status of the incumbent digital platforms. DCRs worsen the competitive position of gatekeepers such as by negating gatekeepers’ ability to capitalize on key investments and facilitating third parties’ free riding on those investments. Essentially, gatekeepers are expected to aid and subsidize competitors and third parties at little or no cost. This, in turn, diminishes their competitive position and dissipates their resources (and investments) for the benefit of another group.

Section IV addresses the overall implications of an abrupt shift in competition regulation toward DCRs’ rent-redistribution norm. Rent redistribution entails significant risks of judicial error and rent-seeking. Regulators may require firms to supply their services at inefficiently low prices that are not mutually advantageous and may diminish those same firms’ incentives to invest and innovate. Those difficulties are compounded in the fast-moving digital space, where innovation cycles are faster, and yesterday’s prices and other nonprice factors may no longer be relevant today. By facilitating competitors—including those that may have fallen behind precisely because they have not made the same investments in technology, innovation, or product offerings—DCRs may dampen incentives to strive to become a so-called gatekeeper, to the ultimate detriment of consumers. Protecting competition benefits the public, but protecting competitors safeguards their special interests at the public’s expense.

Section V offers a more speculative coda about the possible broader implications of the shift toward a DCR regime. DCRs might signal the advent of a new paradigm in political economy: a redrawing of the existing lines and roles between states, markets, and firms, with greater emphasis on the role of the state as the ultimate ordering power of the economy. In hindsight, one expression of this could turn out to be the overturning (if only partially) of the essential principles of modern competition policy: the protection of competition rather than competitors, a policy emphasis on maximizing economic output rather than rent redistribution among firms, and a commitment to merit, rather than fairness. It is difficult to overstate how deeply at loggerheads this conception of the role of competition is from the existing, predominant paradigm long found in international economic regulation generally, and competition law in particular.

I. A Cacophony of Stated Goals in Digital Competition Regulation

Most DCRs pursue multiple overlapping objectives. The global picture is even more complex, as there is only partial overlap among the various goals pursued by DCRs in different jurisdictions.

Some DCRs are an extension of competition-law frameworks and are sometimes even formally embedded into existing competition laws. In principle, this means that the standard goals and rationale of competition law apply. Germany, for instance, recently amended its Competition Act, emphasizing the need to “intervene at an early stage in cases where competition is threatened by certain large digital companies.”[10] According to the Bundeskartellamt:

The newly introduced Section 19a probably represents the most important change as the Bundeskartellamt will now be able to intervene at an early stage in cases where competition is threatened by certain large digital companies. As a preventive measure the Bundeskartellamt can prohibit certain types of conduct by companies which, due to their strategic position and their resources, are of paramount significance for competition across markets.[11]

Similarly, Turkey currently is looking to amend the Turkish Competition Act with the objectives of promoting competition and innovation in digital markets; protecting consumer and business rights; and ensuring that gatekeepers do not engage in anticompetitive practices.[12] Proponents argue that the current Turkish Competition Act is not adequately equipped to address anticompetitive conduct in digital markets—such as, e.g., that the process of defining relevant markets is inappropriate for dynamic and global digital ecosystems and that specific regulations are needed due to the network effects that digital platforms confer.[13] These are all nominally competition-related concerns.[14] Other proposed changes to the Turkish Competition Act similarly reflect an increased emphasis on competition. For instance, in merger analysis, the current “dominance test” would be substituted with a “significant impediment to effective competition test,” similar to that in the EU merger-control regime. A “de minimis” rule would also be added to Article 41 to exempt agreements “that do not significantly impede competition.”

Other DCRs appear, at least to some extent, to pursue competition-law-inspired goals, despite not being formally incorporated into existing competition laws. In South Korea, for example, the Korean Fair Trade Commission (“KFTC”) recently proposed a draft DMA-style bill, the Platform Competition Promotion Act,  whose purpose is to establish ex-ante rules to restore competition rapidly in designated markets “without the tedious process of defining a relevant market through economic analysis.”[15] According to the KFTC, digital competition regulation is necessary to combat monopolization in digital markets, where monopolies tend to become entrenched.[16]  As some observers have noted,[17] the Platform Competition Promotion Act covers conduct already addressed by South Korea’s existing Monopoly Regulation and Fair Trade Act.[18] Thus, while the draft bill is likely to be passed as a separate piece of legislation, there appears to be a continuum between it and South Korean competition law.

In the United Kingdom, the Digital Markets, Competition, and Consumer Act received royal assent in 2024.[19] The DMCC aims to “provide for the regulation of competition in digital markets” and, in theory, dovetails with goals pursued by competition law (it even invokes familiar competition-law themes, such as market power).[20] The DMCC grants the UK antitrust enforcer, the Competition and Markets Authority (“CMA”), power to take “pro-competition interventions” where it has reasonable grounds to believe there may be an adverse effect on competition.[21]

The DMCC has, however, also been touted as a tool to “stamp out unfairness in digital markets.”[22] This could refer to the bill’s consumer protection provisions, which would prohibit, among other things, unfair commercial practices.[23] But it may also suggest that the DMCC goes beyond the remit of traditional UK competition law, in which “unfairness” is generally not central, except within the relatively narrow confines of the abuse-of-dominance provision under Section 18 of the Competition Act.[24]

Further, in a press release welcoming the DMCC draft, the CMA enumerated the bill’s benefits as falling into the three categories of “consumer protection,” “competition,” and “digital markets.”[25] The second category grants the CMA increased powers to “identify and stop unlawful anticompetitive conduct more quickly.”[26] The third, however, proposes that the bill will “[enable] all innovating businesses to compete fairly.”[27] This could imply that competition rules in digital markets would be governed by different principles than those that apply in “traditional” markets—that is, those that do not involve the purchase or sale of goods over the internet, or the provision of digital content.[28] The DMCC’s provisions on “digital markets” are also formally separate from those on “competition.”[29]

In Australia, the Australian Competition and Consumers Commission (“ACCC”) is conducting a five-year digital-platform-services inquiry, set to be finalized in March 2025.[30] The ACCC recommended, as part of the inquiry’s fifth interim report, service-specific obligations (similar to the UK’s proposed ex-ante rules) for “designated” digital platforms.[31] These would serve to address “anticompetitive conduct, unfair treatment of business users and barriers to entry and expansion that prevent effective competition in digital platform markets.”[32] Thus, alongside competition law’s traditional concerns (e.g., harms and benefits to consumers, innovation, efficiency, and “effective competition”), the ACCC would also incorporate concerns over “fairness” and, especially, the protection of business users.

In the United States, several bills have been put forward that are formally separate from existing antitrust law but cover some of the same conduct as would typically be addressed under U.S. antitrust law—albeit with seemingly different goals and standards. Some of these new goals and standards represent only slight variations on the usual goals of competition law. Three main pieces of legislation have so far been put forward: the American Innovation and Choice Online Act (“AICOA”),[33] the Open App Market Act (“OAMA”),[34] and the Augmenting Compatibility and Competition by Enabling Service Switch Act (“ACCESS Act”)[35] (together, “U.S. tech bills”).

Although the U.S. tech bills largely fail to describe their underlying goals, the titles of the bills and statements made by their sponsors suggest a set of overlapping concerns, such as preventing “material harm to competition,”[36] reducing “gatekeeper power in the app economy,” and “increasing choice, improving quality, and reducing costs for consumers.” [37] These goals appear to fall relatively well within the traditional remit of antitrust law.

But there are others. According to U.S. Sen. Amy Klobuchar (D-Minn.), the primary sponsor or cosponsor of several of the U.S. tech bills, AICOA is intended to “restore competition online by establishing commonsense rules of the road,” “ensure small businesses and entrepreneurs still have the opportunity to succeed in the digital marketplace,” and “create a more even playing field,” all “while also providing consumers with the benefit of greater choice online.”[38] “Fairness,” “fair prices,” and “innovation” all have also been invoked by the bills’ supporters.[39]

At the same time, for three out of the 10 types of challenged conduct, AICOA would require demonstrating “material harm to competition,” which would suggest that one of that bill’s goals is to protect competition. As the American Bar Association’s Antitrust Section has observed, however, there is no “material harm to competition” standard in U.S. antitrust law.[40] This suggests that AICOA may posit a different interpretation of what it means to protect competition, or of what sort of competition should be protected, than does traditional U.S. antitrust law.

OAMA, on the other hand, aims to open competitive avenues for startup apps, third-party app stores, and payment services in existing digital ecosystems.[41] Unlike AICOA, however, OAMA would not require a showing of harm to competition—material or otherwise—to establish liability, which appears to suggest that competition might be less of a concern than the bill’s title implies.

Finally, the ACCESS Act is intended to “promote competition, lower entry barriers and reduce switching costs for consumers and businesses online.”[42] U.S. Sen. Mark Warner (D-Va.), the bill’s primary sponsor, has said that the ACCESS Act will promote competition, allow startups to “compete on equal terms with the biggest social media companies,” and “level the playing field between consumers and companies” by giving them more control over who manages their privacy.[43] Again, these are antitrust-adjacent objectives, but with a flavor (“equal terms,” “level playing field,” etc.) that is largely foreign to U.S. antitrust law.

Other DCRs pursue a mix of competition and noncompetition goals. The South African Competition Commission’s (“SACC”) Final Report on the Online Intermediation Platforms Market Inquiry, for example, found that remedial actions similar to the ex-ante rules contemplated in the DMA and elsewhere are needed to grant “[g]reater visibility and opportunity for smaller South African platforms” to compete with international players; “[e]nabl[e] more intense platform competition,” offer “more choice and innovation”; reduce prices for consumers and business users; “[p]rovid[e] a level playing field for small businesses selling through these platforms, including fairer pricing and opportunities”; and “[p]rovid[e] a more inclusive digital economy” for historically disadvantaged peoples.[44]

In a similar vein, Brazil’s proposed law PL 2768/2022 pursues an expansive grab-bag of social and economic goals.[45] Article 4 states that targeted digital platforms must operate based on the following principles: freedom of initiative, free competition, consumer protection, a reduction in regional and social inequality, combatting the abuse of economic power, and widening social participation in matters of public interest.[46] In addition, PL 2768 also states as objectives that it will enable access to information, knowledge, and culture; foster innovation and mass access to new technologies and access models; promote interoperability among apps; and enable data portability.[47]

Finally, there are those DCRs that claim not to pursue competition-oriented goals at all. The DMA has two stated goals: “fairness” and “contestability,”[48] and explicitly denies being bound by, or even pursuing, the traditional goals of competition law: protecting competition and consumer welfare.[49] According to the DMA, competition, consumer welfare, and efficiency considerations such as those that underpin antitrust law are not relevant under the new framework. This is, according to the DMA’s text, because the goals of competition law and the DMA “are complimentary but ultimately distinct.”[50]

Interestingly, however, few other DCRs have so steadfastly disavowed competition considerations, even those that copy the DMA’s provisions verbatim. India is a case in point. In 2023, a report by the Standing Committee on Finance argued that, if digital competition regulation was not passed, “interconnected digital markets will rapidly demonstrate monopolistic outcomes that prevent fair competition. This will restrict consumer choice, inhibit business users, and prevent the rise of dynamic new companies.”[51] These concerns jibe with traditional antitrust goals, as indicated inter alia by the report’s title (“anti-competitive practices by big tech companies”). Later, another report, the Report of the Committee on Digital Competition Law (“CDC Report”),[52] proposed a Draft Digital Competition Bill.[53] According to the CDC Report, DMA-style digital competition regulation was needed to supplement the 2002 Indian Competition Act (“ICA”),[54] which—and here is the interesting part—supposedly also aims to promote “fairness and contestability.”[55]

But the ICA’s stated aims were the protection of competition, the interests of consumers, and free trade.[56] The Report of the High-Powered Expert Committee on Competition Law and Policy (“Raghavan Committee Report”),[57] which served as the basis for the ICA, modernized Indian competition law by moving it away from the structure-based paradigm of the earlier Anti-Monopolies and Restrictive Trade Practices Act of 1969 and toward an economic-effects-based analysis. The Raghavan Committee Report was unequivocal in its support of consumer welfare as the system’s ultimate goal.[58] Moreover, the report advised against a plurality of goals, including, specifically, “bureaucratic perceptions”[59] of equity and fairness, which, it argued, were mutually contradictory, difficult to quantify, and potentially opposed to the sustenance of free, unfettered competition.[60] It is therefore curious, to say the least, that the CDC Report would now, in hindsight, recast the ICA’s goals to support essentially the opposite idea.

The multiplicity of goals and their unclear, partially overlapping relationship with competition law raises questions about how we should think about these laws and, indeed, whether we can even think of them as a coherent, unified group. In the next section, we seek to untangle the nature and classification of digital competition regulation.

II. A New Form of Competition Regulation

DCRs are likely best understood as a new form of competition regulation. As some authors have noted, the precise relationship between competition law and the EU’s DMA is difficult to pinpoint.[61] In a similar vein, it is evident that many DCRs incorporate themes and concepts familiar to the competition lawyer, such as barriers to entry, exclusionary conduct, competitive constraints, monopolistic outcomes, and, in some cases, even market power. At first blush, this may suggest a direct relationship between digital competition regulation and competition law. While not entirely incorrect, that assessment comes with considerable caveats.

In this section, we argue that DCRs are a new form of competition regulation that diverges in subtle but definitive ways from mainstream notions of competition law. In essence, DCRs take plausible competition-law themes and alter and subvert them in fundamental ways, creating what could be described as sector-specific[62] or enforcer-friendly[63] competition laws. Due to their blend of competition principles and prescriptive, top-down regulatory provisions, we have opted for the term “digital competition regulation.” To understand their nature, we must start with their underlying assumptions and the ills they claim to address.

A. The Digital Competition Regulation Narrative

A starting assumption of all DCRs is that there is an extreme imbalance of power between large digital platforms and virtually every other stakeholder with whom they deal—from other industries to the businesses that operate on digital platforms to their competitors to, finally, end-users.[64] Even governments are often presumed to be virtually powerless in the face of the depredations of so-called “Big Tech.”[65] The adage that “big tech has too much power” has been almost universally endorsed by proponents of DCRs and strong antitrust enforcement;[66] is explicitly or implicitly embedded into those DCRs;[67] and now also permeates popular discourse, media, and entertainment.[68] The corollary is that asymmetric regulation is needed to help those other actors that have been “dispossessed” by big-tech platforms.

This notion is widespread and underpins a range of other policy proposals, not just DCRs. For example, the EU is considering a “Fair Share” regulation that would address the supposed power imbalance between tech companies and telecommunications operators, by forcing the former to pay for the infrastructure of the latter.[69] Similarly, various “bargaining codes” either already have been adopted or are currently under consideration to force tech companies to pay news publishers. In Australia, the Treasury Laws Amendment (News Media and Digital Platforms Mandatory Bargaining Code) Act 2021 (“Bargaining Code”) was put in place to address the supposed bargaining-power imbalance between digital platforms and news-media businesses.[70]  According to the ACCC, digital-advertisement regulation was necessary to support the sustainability of the Australian news-media sector, “which is essential to a well-functioning democracy.”[71] Laws with a similar rationale have also been passed or are under consideration in other jurisdictions.[72]

All these initiatives originate from the same foundational assumption, which is that tech companies are more powerful than anyone else and are therefore able to get away with imposing draconian conditions unilaterally that allow them to benefit disproportionately at the expense of all other parties, business users, complementors, and consumers. While it is not always easy to identify a coherent thread running through the rules and prohibitions contained in DCRs and other initiatives to regulate “Big Tech,” a good rule of thumb to understand the unifying logic behind these initiatives is that digital platforms should have less “power,” and other stakeholders should have more “power.”

Sometimes—but by no means always—this also encompasses familiar notions of “market power,” i.e., firms’ ability to profitably raise prices because of the absence of sufficient competition. In fact, in most DCRs, “power” stems from the fact that an online platform is an important gateway for business users to reach consumers.[73] This is considered manifestly evident by the platform’s size, turnover, or “strategic” importance.[74] As Bundeskartellamt (the German competition authority) President Andreas Mundt has put it: “we shouldn’t talk about this narrow issue of price, we should talk about power.”[75]

DCRs embody this principle. They seek to extract better deals for the party or parties that are considered to suffer from an imbalance of bargaining power vis-à-vis digital platforms—such as, for instance, through interoperability and data-sharing mandates. As we argue below,[76] these beneficiaries are intended to be the platform’s business users and competitors.

The reasoning is as follows. The asymmetrical power relations between digital platforms and other actors are presumed to lead to unfair outcomes in how these stakeholders are treated and the ways that rents are allocated across the supply chain. As the DMA explains in its preamble:

The combination of those features of gatekeepers is likely to lead, in many cases, to serious imbalances in bargaining power and, consequently, to unfair practices and conditions for business users, as well as for end users of core platform services provided by gatekeepers, to the detriment of prices, quality, fair competition, choice and innovation in the digital sector.[77]

Once it is accepted that power relations between digital platforms and other stakeholders are unfairly skewed, any outcome resulting from the interaction of the two groups must also, by definition, be “unfair.” For example, under the DMA, “unfairness” is broadly defined as “an imbalance between the rights and obligations of business users where the gatekeeper obtains a disproportionate advantage.”[78] A “fair” outcome would be one in which market participants—including, but not limited to, business users—“adequately” capture the benefits from their innovations or other efforts, something the DMA assumes is currently not taking place due to gatekeepers’ superior bargaining power.

In the world of digital competition regulation, “unfairness” is a foregone conclusion. And, sure enough, the concept of “fairness” is the central normative value driving these regulations. Proponents liberally invoke it[79] and it features prominently in DCRs.[80] This narrative, however, is built on premises that differ markedly from those of antitrust law. Indeed, while prioritizing “competition” over “fairness” may sometimes result in “fair” outcomes, it certainly need not: “Fairness may indeed result from competition. But competition may instead generate unfair outcomes if the prior situation is unfair. Competition tends to perpetuate the existing structure of distribution, rather than to guarantee fairness.”[81] We discuss the premises that distinguish antitrust law from Digital Competition Regulation below.

B. Key Differences in First Principles Between Digital Competition Regulation and Antitrust

The DMA is the original blueprint for all digital competition regulation that has followed in its wake. The DMA’s text states that it is distinct from competition law:

This Regulation pursues an objective that is complementary to, but different from that of protecting undistorted competition on any given market, as defined in competition-law terms, which is to ensure that markets where gatekeepers are present are and remain contestable and fair, independently from the actual, potential or presumed effects of the conduct of a given gatekeeper covered by this Regulation on competition on a given market. This Regulation therefore aims to protect a different legal interest from that protected by those rules and it should apply without prejudice to their application.[82]

Other DCRs are rarely so candid about their break with competition law. On the contrary, some are even outwardly couched in competition-based terms. But in the end, DCRs replicate all or most of the prohibitions and obligations pioneered by the DMA.[83] DCRs also apply largely to the same companies as the DMA or, at the very least, use the same thresholds to establish which companies should be subject to regulation.[84]

This leads to a curious “Schrödinger’s DCR” scenario, where the same substantive rules simultaneously are and are not competition law. In the EU, for example, they are not; but in Turkey and Germany, they are. India’s DCB is a verbatim copy of the DMA, yet it is presented as a specific competition law.[85] This apparent contradiction is salvageable only if one thinks of digital competition regulation neither as competition law, strictu sensu, nor as an entirely separate regulation, but rather, as a partially overlapping tool that regulates competition and competition-related conduct in a different—and sometimes fundamentally different—manner.

Consider the example of the EU. EU competition law seeks to protect competition and consumer welfare. The DMA, on the other hand, is guided by the twin goals of “fairness” and “contestability.” As such, under the DMA (as under all other digital competition regulations), the relevant standards are inverted. Under most DCRs, market power—understood as a firm’s ability to raise praises profitably—is either immaterial or not essential to establish whether a firm is a gatekeeper.[86] The competition-law practice of defining relevant markets on a case-by-case basis to determine whether a company has market power is, therefore, likewise moot.[87]

That approach is instead substituted for a list of pre-determined “core platform services,” which are thought to be sufficiently unique that they necessitate special and more stringent regulation.[88] Notably, and unlike in competition law, this presumption admits no evidence to the contrary. Once an offering is marked as a core platform service, all a company can do to escape digital competition regulation is to argue either that it is not a gatekeeper, or that its services do not fall into the definition of a core platform service.

A corollary of this is that it is typically irrelevant whether a firm is dominant, or even a monopolist. Instead, DCRs apply to companies with high turnover and many business- or end-users—in other words, to “big” companies or companies people currently rely on or like to use.

Lastly, consumer-welfare considerations, which are central under competition law,[89] play only a marginal role in digital competition regulation, both in imposing prohibitions and mandates and in exempting companies from fulfilling those prohibitions or obligations.[90] While DCR supporters applaud this shift toward a broader conception of power,[91] it is important to understand how this approach differs from competition law.[92]

Competition law generally does not engage companies for being big or “important”—even if they are of “paramount importance”—except in very narrow instances, such as those prescribed by the essential-facilities doctrine.[93] Rather, antitrust targets conduct that restricts competition to the ultimate detriment of consumers. To establish whether a company has the ability and incentive to restrict competition, an assessment of market power is typically required, and definitions of relevant product and geographic markets are instrumental to that end.

Even the concept of dominance in competition law eschews crude arithmetic in favor of evidence-based analysis of market power, including the dynamics of the specific market; the extent to which products are differentiated; and shifts in market-share trends over time.[94] As one leading EU competition-law textbook puts it: “The assessment of substantial market power calls for a realistic analysis of the competitive pressure both from within and from outside the relevant market. A finding of a dominant position derives from a combination of several factors which, taken separately, are not necessarily determinative.”[95]

Well-established competition-law principles—such as the prevention of free-riding,[96] the protection of competition rather than competitors,[97] and the freedom of even a monopolist to set its own terms and choose with whom it does business[98]—all preclude the imposition of hard-and-fast prohibitions and obligations without a robust case-by-case analysis or consideration of countervailing efficiencies. The narrow exceptions are those few cases where (substantive) experience shows that per se prohibitions are warranted. But note that even cartels, “the cancers of the market economy,”[99] can generally be exempted under EU competition law.[100]

Particularly in digital markets characterized by network effects, scale economies and other variations of increasing returns, there exists no such consensus about the harms inflicted by the sort of gatekeeper conduct covered by DCRs.[101] As economist Brian Arthur aptly notes:

In Marshall’s world, antitrust regulation is well understood. Allowing a single player to control, say, more than 35% of the silver market is tantamount to allowing monopoly pricing, and the government rightly steps in. In the increasing-returns world, things are more complicated. There are arguments in favor of allowing a product or company in the web of technology to dominate a market, as well as arguments against.[102]

Yet in digital competition regulation, strict (often per se) prohibitions and obligations based on a company’s size are the norm.

C. The Transformation of Familiar Antitrust Themes

Even those DCRs that explicitly allude to competition-related objectives—such as the protection of competition and consumers—modify those objectives in subtle, but important ways. The U.S. tech bills are a case in point. AICOA would introduce a new “material harm to competition” standard. This facially sounds like it could be an existing standard under U.S. antitrust law, but it is not.[103]

DCRs also combine traditional competition-law objectives with considerations that would not be cognizable under antitrust law. For example, Brazilian competition law is guided by the constitutional principles of free competition, freedom of initiative, the social role of property, consumer protection, and prevention of the abuse of economic power.[104] PL 2768, however, would add two exogenous elements to these relatively mainstream antitrust goals: a reduction in regional and social inequality and increased social participation in matters of public interest.[105]

Other DCRs—like the UK’s or Australia’s prospective efforts to regulate digital platforms—also combine “fairness” goals with consumer welfare and competition considerations.[106] India’s DCB even offers an ex-post rationalization of competition law that brings it in line with the “fairness and contestability” goals of the new digital competition regulation.[107]

It is nonetheless questionable whether the protection of consumers and business users under DCRs accords with antitrust notions of “consumer welfare.” It should be noted that competition law, unlike consumer-protection law, protects consumers only indirectly, through the suppression of anticompetitive practices that may affect them through increased prices or decreased quality. Thus, antitrust law is generally uninterested in a company’s deceptive practices, unless they stem directly from a competitive restraint or the misuse of market power.[108] In this scenario, market power acts as a filter to determine where a company’s conduct can be corrected by market forces, and where intervention may be necessary.[109]

By contrast, even where DCRs claim to benefit consumers,[110] they generally seek to do so through mandates of increased transparency, explicit consent, choice screens, and the like, which are either imposed independently of market power[111] or do not require a strict causal link with market power.[112] While some of the focus on consumers thus remains (at least nominally), the ways in which DCRs protect consumers are ultimately more in line with consumer protection law than competition law. That is, the focus is on enforcing certain product design decisions and end-states that regulators assume consumers prefer, rather than on the premise that the protection of competition will ultimately, but tangentially, benefit consumers.

As for the protection of business users, according to some interpretations, antitrust law protects both consumers and other trading parties (customers).[113] This could, in principle, also include “business users.” Unlike digital competition regulation, however, antitrust law does not generally protect a predetermined group of businesses such that, for example, business users of online platforms would be afforded special protection. Any trading party—regardless of size, industry, or position in the supply chain, and whether a small developer or a large online platform—could theoretically benefit from the protection afforded by antitrust law to those harmed by the misuse of market power.

D. When Failed Antitrust Doctrine Becomes ‘Groundbreaking’ New Regulation

While digital competition regulation’s approach to competition diverges from that of mainstream competition law, and may even be anathema to it, the arguments it espouses are not new. To the contrary, digital competition regulation, in many ways, codifies ideas that have been repeatedly tried and spurned by competition law.

The fountainhead of these ideas is that size alone should be the determining factor for antitrust action and liability.[114] On this historically recurring view—which is championed today most fervently by American “neo-Brandeisians” and European “ordoliberals”—big business inherently harms smaller companies, consumers, and democracy. It is therefore the role of antitrust law to combat this pernicious influence through structural remedies, merger control, and other interventions intended to disperse economic power.[115]

In a similar vein, digital competition regulation targets companies that, a priori, have little in common. Digital competition regulation applies to information-technology firms that specialize in online advertising, such as Google and Meta, but also to electronics companies that focus on hardware, such as Apple.[116] It covers voice assistants and social media, which are vastly different products. Cloud computing, another “core platform service,” is arguably not even a platform; yet it was included in the DMA at the 11th hour.[117] In the end, what these “gatekeepers” have in common is that they all enjoy significant turnover, large user bases, are disruptors of legacy industries (such as, for example, news media), and are—possibly for these precise reasons—politically convenient targets.[118]

One corollary of this school of thought is that antitrust law should abandon (or, at least, drastically reduce) its reliance on the consumer-welfare standard as the lodestar of competition.[119] The law’s fixation on consumer welfare, the argument goes, has turned a blind eye to rampant economic concentration and to any form of abuse or exploitation that does not result in decreased output or higher prices.[120] Instead of this “myopic” focus on economic efficiency, proponents argue, antitrust law should strive to uphold a pluralistic market structure, which necessarily implies protecting companies from more efficient competitors.[121] This, they claim, was the Sherman Act’s original intent, which was subverted, in time, by the Chicago School’s emphasis on economic efficiency.[122]

Shunning consumer welfare also has implications for the role of market power in antitrust analysis. At the most fundamental level, competition law is concerned with controlling market power.[123] However, on the neo-Brandeisian view, antitrust’s historical concern with delineating efficient and inefficient market exit gives way to the unitary goal of controlling size and maintaining a certain market structure, regardless of companies’ abilities to restrict competition and profitably raise prices.[124] This denies the importance of market power or, at the very least, redefines it as synonymous with size and market concentration.[125] This is familiar ground for digital competition regulation, which, as we have seen, generally does not target companies with market power, but companies with a certain size and “economic significance.”

Throughout antitrust law’s storied history, it has often been argued that antitrust law pursues, or should pursue, a plurality of goals and values.[126] Today, these arguments posit that antitrust law must look beyond a “narrow focus” on consumer welfare,[127] which is still enshrined as the dominant paradigm in most jurisdictions. Some of the alternative goals posited to inform the adjudication of competition-law cases include, but are not limited to, democracy, protection of competitors (especially SMEs), pluralism, social participation, combating undue corporate size, and equality. In turn, many of these goals are mentioned in digital competition regulation. In Section III, we argue that wealth redistribution (equality), the protection of competitors, and combatting size are truly shared goals of DCRs.

Digital competition regulation is a bridge between competition law and regulation. That bridge is built on old but persistent ideas that have found limited success in antitrust law and that have largely been precluded by decades of case-law and the progressively mounting exigencies of robust, effects-based economic analysis.[128] It is therefore perhaps unsurprising that digital competition regulation spurns both in favor or new legislation and per se rules.

Its break with antitrust law, however, is not total, and was arguably never intended to be. Instead, digital competition regulation revises modern competition law to bring it in line with the regulatory philosophy it seeks to resuscitate, selectively plucking those bits and pieces that conform to that vision and discarding those that do not.

The partial continuity between competition law and digital competition regulation is not merely hypothetical, either. Consider the example of the DMA. According to EU Commissioner of Competition Margrethe Vestager, “the Digital Markets Act is very different to antitrust enforcement under Article 102 TFEU. First, the DMA is not competition law. Its legal basis is Article 114 TFEU. Therefore, it pursues objectives pertaining to the internal market.”[129]

But observe that the DMA covers conduct identical to that which the Commission has pursued under EU competition law. For instance, Google Shopping was a self-preferencing case that would fall under Article 6(5) of the DMA.[130] Cases AT.40462 and AT.40703, which related to Amazon’s use of nonpublic trader data when competing on the Amazon Marketplace and its supposed bias when awarding the “Buy Box,” would now be caught by Articles 6(2) and 6(5) of the DMA.[131] Apple’s anti-steering provisions—for which the Commission issued a fine mere days before the DMA’s entry into force—would be prohibited by Article 5(4) of the DMA.[132]

These overlaps cast doubt on the assertion that the DMA and EU competition law are two distinctly different regimes. They suggest instead that the DMA is simply a more stringent, targeted, and enforcer-friendly form of competition regulation, intended specifically to cover certain products, certain companies, and certain markets. Or, as at least one commentator put it: “the DMA is just antitrust law in disguise.”[133] Indeed, Australia’s ACCC may have said the quiet part out loud when it contended that its proposed DCR would be both a “compliment to, and an expansion of, existing competition rules.”[134]

A separate, albeit equally pertinent question is whether the sui generis logic of digital competition regulation will eventually be transferred to standard competition law, pushing the regimes closer together by remaking competition law. Now that they have the weight of the law—in jurisdictions like Turkey and Germany, even formally incorporated into competition law—ideas that have hitherto remained at the fringes of mainstream competition law may gain increased respectability even in competition-law circles. Further, the goals of competition law may even be reconfigured, a posteriori, in accordance with the rationale of digital competition regulation.

This possibility may at first blush seem far-fetched, but it cannot be discarded as entirely hypothetical. As observed earlier, the CDC Report in India recast the ICA as a tool aimed at ensuring fairness and contestability, even though the ICA’s long-standing (and stated) aims are, in fact, the protection of competition, the interests of consumers, and free trade.[135] In a similar vein, Andreas Mundt, the President of Germany’s Bundeskartellamt, recently remarked that competition law “has always been about fairness and contestability,”[136] thus extrapolating the logic of the DMA’s sector-specific competition regulation to all competition law.

In the past when populist arguments about equality, fairness, and “anti-bigness” have been suggested in competition law, they have largely (though not entirely) failed.[137] It is thus somewhat ironic that such ideas should now be spurred on by passage of the DMA, a regulation that is, by its own terms, not even a competition law, sensu proprio.

III. The Real Goals of Digital Competition Regulation

Notwithstanding their superficial differences, DCRs are largely animated by a common narrative and, on the whole, seek to achieve similar goals. At the most basic level, DCRs seek to tip the balance of power away from digital platforms,[138] redistribute rents (especially toward app developers and complementors), and make it easier for potential competitors to contest incumbents’ positions. In this context, traditional antitrust conceptions of competition and consumer welfare are afforded, at best, a ceremonial role.

A. Redistributing Rents Among Firms

Despite the discrepancies identified above,[139] upon closer examination it becomes evident that DCRs share a common set of assumptions, rationales, and goals. The first of these goals is rent redistribution among firms.

The central conceit of DCRs is that asymmetrical power relations between digital platforms and virtually everyone else produce “unfair” outcomes in which, in a zero-sum game, “big tech” gets a big slice of the piece at the expense of every other stakeholder.[140] Thus, DCRs must step in to reallocate rents across the supply chain, so that other actors receive a share of benefits in line with regulators’ understanding of what constitutes a “fair” distributive outcome.

Indeed, as the OECD has noted, the concept of “fairness” is strongly tied to redistribution.[141] As Pablo Ibáñez Colomo has written (about the then-proposed draft DMA), “the proposal is crafted to grant substantial leeway to restructure digital markets and re-allocate rents.”[142] This notion is accepted even by DCR proponents who have admitted that “the regime is not designed to regulate infrastructure monopolies, but rather to create competition as well as to redistribute some rents.”[143]

As to who specifically should benefit from such interventions, the answer varies somewhat across jurisdictions and may depend on the effectiveness of various groups’ rent-seeking efforts or the particular country’s political priorities.[144] In countries like Japan, Korea and South Africa, for example, there has been an explicit emphasis on redistribution toward SMEs, with attempts made to “equalize” their bargaining position vis-à-vis large digital platforms (South Africa additionally favors home-grown SMEs).[145] Other jurisdictions, such as the EU, emphasize competitors and companies that “depend” on the digital platform to do business—such as, e.g., app developers and complementors that “depend” on access to smartphone users through iOS, logistics operators that “depend” on Amazon to reach customers, and shops that “depend” on Google for exposure.[146] Granted, these companies may also be SMEs, but they need necessarily not be.[147] In fact, many of the DMA’s expected beneficiaries, including Spotify, Epic Games, and Yelp,[148] are not small companies at all.[149]

Elsewhere it is explicitly recognized that DCRs seek to abet the market position of national companies. Prior to the DMA’s adoption, many leading European politicians touted the act’s text as a protectionist, industrial-policy tool that would hinder U.S. firms to the benefit of European rivals. As France’s then Minister of the Economy Bruno Le Maire stated:

Digital giants are not just nice companies with whom we need to cooperate, they are rivals, rivals of the states that do not respect our economic rules, which must therefore be regulated…. There is no political sovereignty without technological sovereignty. You cannot claim sovereignty if your 5G networks are Chinese, if your satellites are American, if your launchers are Russian and if all the products are imported from outside.[150]

This logic dovetails neatly with the EU’s broader push for digital and technology sovereignty, a strategy intended to reduce the continent’s dependence on technologies that originate abroad. This strategy has already been institutionalized at different levels of EU digital and industrial policy.[151] In fact, the European Parliament’s 2020 briefing on “Digital Sovereignty for Europe” explicitly anticipated an ex-ante regulatory regime similar to the DMA as a centerpiece of that initiative.[152]

The fact that no European companies were designated as gatekeepers lends credence to theories about the DMA’s protectionist origins.[153] At the very least, it seems questionable whether such an effort would have been undertaken if it would have captured many EU companies, and it seems implausible that the specific triggers implemented for companies to fall under the DMA were not designed to exclude EU companies and include U.S. and Chinese ones.[154]

But while protectionism is not explicitly embedded in EU law, it likely will be in South Africa’s digital competition regulation. The understanding of “free competition” that underpins the SACC’s DCR proposal hinges on forcing large, foreign digital platforms to elevate local competitors and complementors, even if it means granting them unique advantages.[155] So, in a sense, competition is “free” where it leads to equitable outcomes—a remarkable pivot away from the logic of competition law (although not entirely foreign to South African competition law[156]). Moreover, unlike other DCRs, the SACC’s proposal explicitly notes that its proposed remedies are designed to redistribute wealth from the targeted digital companies or downstream business users toward certain social groups—namely, South African companies, historically disadvantaged peoples (“HDPs”), and SMEs, especially those owned by HDPs.[157]

For instance, to redress the “unfair” advantage enjoyed by larger competitors that end up displayed more prominently in Google’s search results and that are able to invest in search-engine optimization,[158] the SACC would oblige Google to introduce a “new platform sites unit (or carousel) to display smaller SA platforms relevant to the search (e.g., travel platforms in a travel search) for free and augment organic search results with a content-rich display.”[159] In addition, Google would be forced to add a South African flag identifier and South African platform filter to “aid consumers to easily identify and support local platforms in competition to global ones.”[160]

The SACC’s proposal is chock full of similar, explicitly redistributive policies that—despite being formally integrated into competition law—flip its logic on its head by requiring distortions of competition in order to (putatively) preserve undistorted competition. Thus, the SACC’s proposal would require gatekeepers to: give free credit to South African SMEs; offer promotional rebates; waive fees and provide direct funding for the identification, onboarding, promotion, and growth of SMEs owned by HDPs; force app stores to have a “local curation of apps” aimed at circumventing “automated curation based on sales and downloads for the SA storefronts and some geo-relevance criteria”; and ban both volume-based discounts that benefit larger companies (relative to SMEs) and promotions that would otherwise “decimate” local competitors.[161]

One reading of these terms is that the SACC’s report deviates from the “standard” in digital competition regulation. Another is that the SACC is simply more forthright about accomplishing the sorts of goals implicit in the DMA and other DCRs. Indeed, the SACC targets the same types of digital platforms as the DMA, includes many of the same prohibitions and obligations (e.g., self-preferencing, interoperability, cross-use of data, price parity clauses), and openly references the DMA.[162]

In some countries, the beneficiaries are intended to be primarily national companies or SMEs. Ultimately, like many other questions surrounding digital competition regulation, the question of cui bono—who benefits?—is not an economic one, but a political one, hinging on the determination of which parties lawmakers or regulators want to favor, and which they wish to disfavor.[163] The bottom line, however, goes back to the same, simple idea: gatekeepers should get less, and other businesses should get more.

Consider, for example, the reaction to Apple’s DMA compliance plan.[164] Most of the backlash concerned the frustrated expectations that Apple would, as a result of the obligations imposed by the DMA, take a smaller cut from in-app payments and paid downloads on its platform.[165] If one strips away the rhetoric, the reaction was not about competitive bottlenecks, competition, fairness, contestability, or any other such lofty ambitions, but about the very simple arithmetic of rent seeking, whereby those who invest in lobbying legislators expect a return on their investments.[166]

Or consider the UK’s DMCC. As Dirk Auer, Matthew Lesh and Lazar Radic have written, “the DMCC… includes a ‘final offer mechanism’ that the CMA can use in cases where a conduct requirement relating to fair and reasonable payment has been breached, and where the CMA considers that other powers would not resolve the breach within a reasonable time period.”[167] The two parties to a transaction (at least one of them being a gatekeeper, or what the DMCC refers to as a firm with “strategic market status” (“SMS”)) submit suggested payment terms for the transaction. “The CMA then decides between the two offers, with no option to take a third or intermediate course.”[168]

Under the DMCC , however, “this mechanism could be applied to any SMS business relationship with third parties.”[169] While this might not involve direct price setting, “it does mean the CMA will have the power to decide between two alternative offers and, thus, will be determining the distribution of revenues”—potentially for any third party.[170]

Despite some specific distributional differences, then, the overarching implication of digital competition regulation is generally the same: competitors and business users (e.g., app store and app developers in the case of Apple’s iOS, sellers and logistics operators in the case of Amazon’s marketplace, competing search and service providers in the case of Google search, etc.), should be propped up by gatekeepers. They should get more and easier access to gatekeepers’ platforms, feature more prominently therein, be entitled to a bigger slice of the transactions facilitated by those platforms,[171] and pay gatekeepers less (or nothing at all).

B. Facilitating Rivals and the Duality of Contestability

The longstanding understanding of competition law is that protecting competition often forces less efficient competitors to depart the market. “After decades of agonizing interpretation, a sort of working compromise has been reached, so that the goal of antitrust is to preserve a competitive process even at the cost at times of the disappearance of less efficient small businesses.”[172] DCRs, by contrast, are chiefly concerned with ensuring that even inferior competitors enter or remain on the market. DCRs thus share a common aim not just to protect users but to benefit competitors directly.[173]  If a designated digital platform acts “unfairly,” its actions are illegal. But it is generally—save limited exceptions—irrelevant whether its behavior is efficient or if it enhances consumer welfare. Yet these are the very questions that typically serve to distinguish pro-competitive from anticompetitive conduct in the context of competition law (and competition on the merits from anticompetitive conduct).[174]

This makes sense if one recognizes that digital competition regulation and competition law have fundamentally different goals: the former seeks to make it easier for nonincumbent digital platforms to succeed and stay on the market, regardless of the costs either to consumers or to the regulated platforms; the latter seeks to protect competition to the ultimate benefit of consumers, which often implies (and requires) weeding out laggard competitors.[175] As former U.S. Federal Trade Commission (“FTC”) Commissioner Maureen Ohlhausen has observed:

Some recent legislative and regulatory proposals appear to be in tension with this basic premise. Rather than focusing on protection of competition itself, they appear to impose requirements on some companies designed specifically to facilitate their competitors, including those competitors that may have fallen behind precisely because they had not made the same investments in technology, innovation or product offerings. For example, the Digital Markets Act (DMA) would force a ‘gatekeeper’ company to provide business users of its service, as well as those who provide complementary services, access to and interoperability with the same operating system, hardware, or software features that are available to or used by the gatekeeper. While this would restrain gatekeepers and presumably facilitate the interests of the gatekeeper’s rivals, it is not clear how this would protect consumers, as opposed to competitors.[176]

DCRs aim to facilitate competitors by making covered digital markets more “contestable,”[177] which sounds, at first cut, like a tenet of competition law.[178] In particular, DCRs seem to espouse a (greatly simplified) theory of contestability in which even oligopoly markets will behave as if they are perfectly competitive as long as entry by new rivals is easy.[179] But there are important differences between the DCR approach to contestability and the economic theory of contestability.

In particular, where network effects or scale economies predominate (as is always the case with digital platforms), enhanced contestability by policy is most likely to redistribute rents but not necessarily to serve consumers or create competition. “[I]f the market cannot profitably accommodate another entrant, due to scale economies and the nature of the oligopoly interaction, entry will be followed by some firm’s exit and another period of high prices.”[180] If all increased contestability does is to replace one gatekeeper with another, it can hardly be said to improve competitive outcomes.

Similarly, the success of the economic theory of contestability is heavily dependent on the specific terms of the model.[181] This means that engineering situations in which “artificial” contestability is enabled may not lead to the results predicted by economic theory, and the costs of overriding the natural competitive process may be greater than the benefits:

As in the famous socialism debate between Hayek, von Mises, and Lange the competitive process may be worth saving even though it may at times stray far from the Pareto-optimal equation of price and marginal cost…. This is so because it is hard for regulators or the state to design a system that has information processing powers and incentive compatibility properties of the competitive process. This is important in the nonstatic real world, which is plagued with uncertainty and incentive problems.[182]

In much the same way, the economic theory of contestability suggests that, in many circumstances, expanding competition beyond an existing oligopoly (or even duopoly) may have little effect on outcomes because such markets already behave as if they are competitive (or at least more competitive than a pure monopoly). This is borne out by experimental research.[183] While this confirms the underlying idea of the theory of contestability, it does not support DCRs’ efforts to artificially enhance contestability in a great number (perhaps even all) of the relevant digital markets, none of which are actually purely monopolistic. In other words, the economic theory of contestability supports the notion of reducing entry barriers in monopoly markets but does not support doing so in “gatekeeper” markets.

This also means that, at least from the contestability (as opposed to fairness) standpoint, DCRs may not improve market outcomes. DCRs operate on the assumption that gatekeeper markets are less competitive than markets with more entrants. But while this is true in the pure (uncontestable) monopoly cases against which the economic theory of contestability is judged, it need not be true in gatekeeper markets. “It is simply not true that monopoly pricing is a ‘natural’ result of a market merely because firms in the market exhibit decreasing costs and demand is sufficient to support no more than a single firm.” Regulators of digital gatekeepers may not like the structure of the markets they govern, but it cannot be inferred from that structure that such markets are anticompetitive.

Finally, competition economics has always recognized that entry can be an important source of competitive constraint.[184] It is unclear what the concept of “contestability” as espoused by digital competition regulation offers beyond that, other than a political preference for a particular distribution of rents different from the status quo. The relevant question in economic policy is always “compared to what?”—why is this institution better than another institution?[185] DCRs have value only if they offer the prospect of better outcomes than traditional competition law—especially because they impose enormous additional costs (both direct regulatory costs, as well as compliance costs) beyond those of traditional competition law.

Given these differences, it is perhaps unsurprising that the practical implementation of the concept of contestability in DCRs is often starkly at odds with what a competition-focused approach would counsel. DCRs appear to adopt a version of contestability that assumes virtually no economic limit on the benefits of entry into digital platform markets. The assumption is that, as long as consumers consistently use certain dominant platforms, markets must not be contestable, or not sufficiently so.[186] The putative reason for this alleged paucity of contestability lies in certain advantages that have accrued to incumbent platforms and that rivals purportedly cannot reasonably replicate, such as network effects, data accumulation, and data-driven economies of scale.[187] Consumer cognitive biases and lock-in are asserted as further cementing incumbents’ positions.[188] Because digital markets are also said to be “winner-take-all” (or “winner-takes-most”)[189] the corollary is that currently dominant firms will remain dominant unless regulators intercede swiftly and decisively to bolster contestability.[190]

DCRs seek to achieve this state of contestability by “equalizing” the positions of gatekeepers and competitors in two interconnected ways: by diminishing incumbents’ advantages and by forcing them to share some of those advantages with competitors. Making digital markets more contestable, therefore, requires undercutting the benefits of network effects and advantages enjoyed by “data-rich” incumbents,[191] not because data harvesting is inherently bad or because incumbents have acquired such data illegally or through deceit, but because these conditions make it harder for other firms to compete. Contestability—understood here as other firms’ ability to successfully challenge incumbent digital platforms’ positions—is therefore put forward as a goal in itself, regardless of those challengers’ relative efficiency or what effects the contestability-enhancing obligations may have on consumers.[192]

It is not hard to see how the myopic focus on contestability is connected to the protection of competitors but not end-users. Many, if not most, of the obligations and prohibitions in DCRs are best understood as attempts to improve the fortunes of competitors, while stifling incumbents, typically under a conception that it is feasible for multiple firms to hold significant shares of platform markets. As discussed below, however, mandating this preferred structural outcome is not always beneficial even for competitors—but it always imposes some costs on the operation of markets characterized by network effects, thus harming consumers.[193]

1. Digital Competition Regulation rules that benefit rivals by mandating access to incumbents’ resources

For instance, data-sharing obligations—such as those included in Article 19a of the German Competition Act and Art. 6(2) of the DMA—make it harder for incumbents to accumulate data, while also forcing them to share the data they collect with competitors.[194] The objective is apparently not to tackle data harvesting because it is noxious—indeed, the obligation to share data with smaller rivals that may not have data-protection mechanisms that are nearly as robust as those of dominant incumbents indicates that data protection is far from a concern.[195] Instead, the goal is to disperse users and data across smaller competitors to counteract network effects, thereby making it easier for those competitors to stay in the market and contest the incumbents’ position: “Enabling personal data mobility may provide a consumer-led tool that will increase use for new digital services, providing companies with an easier way to compete and grow in data-driven markets.”[196]

Interoperability and data-portability obligations require incumbents to make their products and services compatible with those offered by competitors, often with very limited scope for affirmative defenses grounded in objective security and privacy considerations. The logic is that interoperability reduces switching costs and allows competitors to more easily attract previously “locked-in” users.[197] As EU Competition Commissioner Margarethe Vestager remarked, “[i]t’s not just that digitisation has made economies of scale more important than before. It’s also that the huge amount of data that some platforms have, and the huge networks behind them, can give them an edge that smaller rivals can’t match.”[198] While dulling this “edge” by mandating data sharing may nominally benefit certain competitors who receive an artificial leg-up in their competition with incumbents, the overall consequences for competition and competitors more generally are ambiguous:

On the one hand, the presence of switching costs can… make it harder for new competitors to enter…. On the other hand, however, for the same reason, the presence of switching costs can induce entry by competitors looking to capture new customers (those not yet locked-in to an incumbent’s platform) who they can lock-in to their own service, and thus from whom they can expect to extract higher prices. Thus, efforts to induce competition by encouraging data portability may backfire, as potential new competitors, facing the prospect of a reduced ability to lock-in users themselves, may have a reduced incentive to enter in the first place.[199]

Indeed, empirical studies have shown that switching costs do not always make markets less competitive (and thus that interventions aimed at increasing contestability by artificially reducing switching costs may not aid contestability).[200]

At the same time, although they seem simple, interoperability mandates are not self-executing. For example, if a platform can charge an excessive price for interoperability, it may function the same as a prohibition. Thus, such obligations are often coupled with reasonable and non-discriminatory pricing regimes, requiring a regulatory apparatus or expensive judicial determinations to enforce. At the same time, interoperability requires standardization, which may, itself, be the subject of a complex regulatory process.[201] The result of interoperability mandates, therefore, may be a substantial regulatory infrastructure (perhaps well beyond those contemplated by digital competition regulations) and one that prioritizes favored businesses and business models at the expense of market efficiency and efficacy.[202]

Similarly, so-called “self-preferencing” provisions seek to give a leg-up to competitors and complementors that use an incumbents’ platform by prohibiting designated companies from prioritizing their own products and services ahead of rivals’, even if consumers ultimately benefit from such positioning (e.g., because the incumbent’s package is more convenient).[203] Concern over the “unfairness” of platform self-preferencing has long been one of the primary motivations for DCR regimes.[204]

Yet the notion that platform competition with complementors is economically harmful because of such self-preferencing is entirely speculative.[205] Indeed it contradicts  “over a century of antitrust jurisprudence, economic study, and enforcement agency practice” that have firmly established that “the competitive effects of a vertically integrated firm’s ‘discrimination’ in favor of its own products or services… generally produce significant benefits for consumers.”[206] It is also flatly contrary to a number of empirical studies showing that even the welfare of competitors (to say nothing of consumers) may often be improved by such self-preferencing.[207] While enforcement of such provisions may benefit certain competitors in the short run, they create perverse incentives for rivals without the foresight to invest in a platform or diversify the risk of relying on a rival’s platform to underinvest in ensuring their own viability by inefficiently insuring them against their own business misjudgments.[208]

Ultimately, what all these provisions have in common is that they primarily seek to increase the number of competitors on the market and to enhance their ability to gain market share without regard to the propriety of doing so. That is, these goals are to be obtained regardless of their effects on the quality of competition, end products, or concerns related to free-riding on incumbents’ legitimate business investments, superior management decisions, or product design (all of which are considerations that would be cognizable under antitrust law).[209] “Contestability” in digital competition regulation thus means an erosion, through regulatory means, of incumbents’ competitive advantages, regardless of how those advantages have been achieved. And relative to the notion of contestability in competition economics, it is focused on superficial structural outcomes (more competitors simultaneously competing in a market) rather than optimal process constraints on the ability of incumbent firms to exploit their perceived market power (through the threat of successive entry).[210]

2. Digital Competition Regulation rules that benefit rivals by granting them regulatory influence

Digital competition regulation is inherently competitor-oriented—regardless of its stated goals—in other, subtler ways, as well. For instance, the DMCC explicitly invites potential or actual competitors to provide testimony to the CMA before it imposes or revokes a conduct requirement or before implementing remedial “procompetitive interventions.”[211]

The U.S.’s proposed ACCESS Act would give competitors a privileged seat at the table by requiring a covered platform to ask the FTC for permission before making any changes to its interoperability interface[212]—and by requiring the FTC to consult with a “technical committee” formed by, among others, representatives of businesses that utilize or compete with the covered platform.[213] Representatives of the covered platform also would sit on the technical committee but have no vote.[214]

Importantly, in the latter example, the FTC’s decision in these matters would be dependent on whether competitors’ interests have been harmed—i.e., “that the change is not being made with the purpose or effect of unreasonably denying access or undermining interoperability for competing businesses or potential competing businesses.”[215] This is tantamount to asking competitors for permission to make product-design decisions for a rival’s own platform, based solely on the interests of those competitors.[216]

And, as we have seen, implementation of the DMA has been strongly influenced by competitor interests. Less than a month after the DMA’s entry into force, the European Commission launched investigations into four gatekeepers for noncompliance. Critical to the Commission’s decisions to investigate these companies was feedback received from stakeholders,[217] most of whom are competing firms who hoped to benefit from its provisions. In all these cases, the stated metric of non-compliance was the alleged absence of specific outcomes benefiting those competitors.[218]

C. ‘Leveling Down’ Gatekeepers

There are two ways to promote equality: one is by lifting party B up, the other is by dragging party A down.[219] DCRs employ both mechanisms to suppress presumptively illegitimate levels of gatekeeper power. In the previous subsection, we focused on how digital competition regulations attempt to raise up competitors. But DCRs also (sometimes concomitantly and sometimes separately) seek to worsen gatekeepers’ competitive positions such as by negating gatekeepers’ ability to capitalize on key investments and facilitating free riding by third parties that reduces the value of those investments.

Some DCRs are considerably more candid than others about their intent to hamstring gatekeepers. The Turkish E-Commerce Law, for example, includes some provisions that differ from the DMA, despite being evidently inspired by it.[220] “The amended E-Commerce Law goes beyond prohibiting gatekeepers’ behavior that restricts fair and effective competition, and introduces provisions that prevent undertakings in the e-commerce sector from gaining market power through organic internal growth without distorting competition or committing any unfair practices.”[221] Among those provisions are regulations that would not only prevent electronic-commerce intermediary-service providers (“ECISPs”) from gaining significant market power, but also require that those already in a dominant position must lose this power.[222] Bas and Sanli contend that this distinguishes the E-Commerce Directive from the DMA. While it is technically true that the DMA does not impose measures that would, e.g., directly limit a firm’s advertising expenditure or to tax additional transactions beyond a certain threshold, it does nevertheless “level down” gatekeepers’ ability to compete and grow organically in other ways. In this sense, the Turkish E-Commerce Directive takes the DMA’s logic to its natural conclusion and, much like the SACC’s proposal,[223] simply says the quiet part out loud. Indeed, in the end, all DCRs incorporate elements intended to promote fairness by harming incumbents.

For example, prohibitions on the use of accumulated, nonpublic, third-party data by incumbents benefit certain competitors, but they also reduce the return on the massive investments made by incumbents in collecting and using that data. Although data tracking and sharing are costly, gatekeepers are expected to aid and subsidize competitors and third parties at little or no cost,[224] thereby diminishing their competitive positions and dissipating their resources (and investments) for the benefit of another group. Data-use prohibitions particularly deter or preclude gatekeepers from monetizing the investments made in their platforms by, say, using that data to improve their own products and product lineup in response to new information about users’ changing tastes. This directly undermines gatekeepers’ competitive positions, which depend on their ability to improve and adapt their products.[225]

Yet this is viewed by proponents as a feature, not a bug, of DCRs, which seek to dissipate gatekeepers’ “power,” where power does not necessarily mean “market power” (i.e., the ability to profitably raise prices), but simply their ability to compete effectively. For example, even if allowing gatekeepers to use nonpublic data would improve their products to consumers’ ultimate benefit, it would also “harm” competitors in the sense that it would make it harder for them to compete with the incumbent. In such circumstances, the use of data would not be anticompetitive, but it would be “unfair.” By contrast, in the moral lexicon of digital competition regulation, free riding and effectively expropriating gatekeepers’ investments would not be considered “unfair”—even if it were, in fact, anticompetitive.

Self-preferencing prohibitions destroy one of the primary incentives for (and benefits of) vertical integration, which is the ability to prioritize a company’s own upstream or downstream products.[226] They thus also curtail the incumbent platform’s incentive and ability to respond to changing market conditions by investing in and implementing new technology when doing so entails the platform incorporating a product or service previously offered by third parties (the classic example of which is Google’s evolution from offering only “ten blue links” in its search results to offering direct answers to search queries in the form of maps, local business data, comparison shopping results, and the like).[227] Rules against self-preferencing, in other words, can become mandates for costly technological and business-model stasis when competitors’ complaints are given outsized importance:

The relatively static, “nostalgic” analysis that essentially assumes that any given complementor that succeeded in the past “should” succeed in the future (especially against competition from a platform’s own, integrated product) is deeply flawed. Past success under a particular set of platform constraints is no reason to assume that a complementor would provide any measure of innovation in the future under different constraints, nor is it an argument for insisting that the platform’s constraints cannot change. Indeed, if platform discrimination is rampant, the fact that a complementor previously succeeded under different, discriminatory conditions offers no reason to think that that there was an “effective competition structure” in the first place and thus that its previous success was in any way “merited.”[228]

Under traditional antitrust standards concerns for preserving investment and innovation incentives are paramount—even when they may entail self-preferencing by incumbent firms with relatively dominant positions. As a German antitrust court put it:

The prohibition of the abuse of a dominant position does not have as its object to preserve outdated business models that cannot withstand change….

While the applicant seeks to maintain the status quo because its member companies have done well in the past with their traditional business model, respondent is trying to position itself in the face of changing competition…. Competition on the merits does not require [a firm] to leave its offer unchanged and thus to accept being left behind by its competitors.[229]

By the same token, prohibitions on self-preferencing and openness mandates also limit a platform’s ability to offer goods whose quality and delivery it can more readily guarantee,[230] another bane for competitiveness recast as a desirable symptom of “fairness and contestability.” Particularly in order to preserve their ability to control overall platform characteristics like user experience, data security, and privacy, platforms often have an incentive to favor their own offerings and limit third-party access to data and certain core functionalities. “[A] well-managed platform will exert some control where doing so is most important, and openness where control is least meaningful.”[231] Where it is unable to offer or improve these qualities (or where its incentive to do so is reduced by regulation reducing its ability to realize a return on investment in them), a platform will refrain from undertaking them, withholding from the market innovations that would otherwise benefit competitors and business platform users.

The UK’s DMCC is designed to foreclose activities that would otherwise bolster gatekeepers’ “strategic significance.”[232] A company with strategic significance is defined as one that fulfills one or several of the following conditions: has achieved significant size or scale; is used by a significant number of other undertakings in carrying out their business; has a position that allows it to determine or substantially influence the ways in which other undertakings conduct themselves; or is in a position to extend its market power to different activities.[233] At least three of these conditions (the first three) can easily result from organic growth or procompetitive behavior. “There are many investments and innovations that would, if permitted, benefit consumers—either immediately or over the longer term—” but which may enhance a platform’s “strategic significance” as defined by the DMCC.[234] Indeed, improving a firm’s products and thereby increasing its sales will often naturally lead to increased size or scale.

The inverse is also true: product improvements, innovation, and efficiencies can result from size or scale.[235] This is especially relevant in the context of digital platforms, where a product’s attractiveness often derives from its size and scope—that is, from the direct and indirect network effects that result from adding additional users to the network. In other words, the more consumers use a product or service, the more valuable that product or service becomes to consumers on both sides of the platform.[236] Capping scale and size thus curtails one of the primary (if not the main) spurs of digital platforms’ growth and competitiveness.

Which, of course, was arguably the intent behind DCRs all along. In this context, some DCRs contain provisions that allow enforcers to impose a moratorium on mergers and acquisitions involving a gatekeeper, even where such concentrations would not ordinarily fall within the scope of relevant merger-control rules.[237]

Other prohibitions and obligations that form part of the standard DCR package harm incumbents by facilitating free riding. Sideloading mandates, for example, allow third parties to free-load on gatekeepers’ investments in developing popular and functional user interfaces and secure environments for the use of third-party content.[238] Insofar as they lessen gatekeepers’ ability to curate content and monitor safety and privacy risks, they also deprecate platforms’ overall quality and integrity, thereby potentially harming even the very companies they seek to aid.[239] Sideloading and interoperability mandates also essentially turn closed platforms into open ones (or, at the very least, they bring the two much closer together), thus effectively prohibiting a significant source of product differentiation by forcing closed platforms to forfeit the competitive benefits they may have relative to the primary alternative business model.[240] Antitrust law is unequivocal in its preference for inter-brand over intra-brand competition.[241] But under digital competition regulation, this principle gives way to a de-facto harmonization toward the model preferred by regulators—i.e., the one that makes every successful platform as open and accessible to competitors as possible, regardless of the tradeoffs.

This degree of animosity toward digital platforms may seem puzzling given the manifest benefits that they have conferred.[242] But one’s priors matter quite a bit here. If one accepts, tout court, the dystopian narrative that casts digital platforms as uniquely powerful, unfair, and abusive,[243] this punitive approach[244] is understandable and, in a sense, even required.

D. Consumers as an Afterthought

DCRs affect wealth transfers from gatekeepers to other firms.[245] But DCRs also affect—or, at least, tacitly accept—wealth transfers from consumers to other firms.

First, and fundamentally, DCRs generally do not require a finding of consumer harm to intercede, and they impose numerous per se prohibitions on conduct without any showing of harm. Second, DCRs provide limited scope for efficiency defenses. Generally, defenses rooted only in objective privacy and security concerns are allowed,[246] and even these are subject to a high evidentiary burden.[247]

On the other hand, justifications that relate to product quality, curation, or that otherwise seek to improve consumers’ experiences are not typically permitted. For example, the quality-of-life improvements that may come from better curation and selection of apps in a closed platform (i.e., one that does not allow for the sideloading of apps or third-party app stores) are not relevant under the DMA—nor is any other dimension of consumer welfare, including price, quality, aesthetics, or user experience.

Other jurisdictions’ DCRs vary in the extent to which exceptions to ex ante prohibitions and obligations will be considered, but the common thread is that none (with the partial exception of the DMCC) appears to allow for anything approaching a broad-based consideration of consumer welfare.

The Turkish DCR goes even further than the DMA, in that it does not appear to allow for any exemptions (even on the basis of safety and privacy).[248] The SACC’s proposal likewise does not appear to provide scope for affirmative defenses.[249] In Australia, the DPS Inquiry states that exemptions should be put in place to mitigate “unintended consequences.”[250] This could, in principle, include consumer welfare considerations, but the DPS Inquiry’s explicit reference to the DMA[251] and various public statements by the ACCC suggest that this is unlikely to be the case.[252] Likewise, the Brazilian proposal states that costs, benefits, and proportionality should be observed when establishing an obligation under Art.10,[253] although there is no indication of what this would mean in practice, or whether it encompasses consumer welfare; indeed, Articles 10 and 11 of PL 2768 do not mention consumer welfare.[254]

In most cases, the diminished role of consumer welfare is reflected not only in the extremely limited scope of permissible exceptions to ex ante rules, but in the heighted standards imposed on platforms to take advantage of them.

Article 19a of the German Competition Act, for example, allows for exemptions where there is an “objective justification.”[255] But unlike every other instance under the German Competition Act, Article 19a reverses the burden of proof and requires the gatekeeper, not the Bundeskartellamt, to prove that the prohibited conduct is objectively justified.[256]

In a similar vein, the U.S.’s proposed AICOA bill would require plaintiffs to prove only “material harm to competition” for violations under the bill’s provisions relating to self-preferencing and terms-of-service discrimination.[257] For violations of the rest of the bill (including provisions relating to, e.g., tying, data use, and interoperability), no harmful effects need be shown by the plaintiff at all; instead, like Article 19a, the bill would reverse the burden of proof for these provisions, requiring the defendant to show a lack of material harm—to prove a negative, in other words.[258]

The most consumer-friendly DCR appears to be the UK’s DMCC, which includes a provision requiring that “[b]efore imposing a conduct requirement or a combination of conduct requirements on a designated undertaking, the CMA must have regard in particular to the benefits for consumers that the CMA considers would likely result (directly or indirectly) from the conduct requirement or combination of conduct requirements.”[259] Similarly, the CMA has stated that it will enforce the law with “regard to its Prioritisation Principles when considering whether and how to address issues in relation to a relevant digital activity.”[260] Under those principles, “[t]he CMA has a statutory duty to ‘promote competition, both within and outside the UK, for the benefit of consumers.’”[261]

The DMCC also allows for a “countervailing benefits exception”[262] to apply when behavior under a conduct investigation is found to provide sufficient other benefits to consumers that “could not be realised without the conduct” and where “the conduct is proportionate to the realisation of those benefits,” without “eliminat[ing] or prevent[ing] effective competition.”[263] Unlike the Australian DPS Inquiry, examples of the benefits to be considered include not only security and privacy, but also the traditional metrics of the consumer welfare standard: “lower prices, higher quality goods or services, or greater innovation in relation to goods or services.”[264]

The CBE would apply only if the CMA were persuaded that the challenged conduct were the only way to achieve the countervailing benefits,[265] which would seem to incorporate something like a “least restrictive means” tests—a more exacting standard than the “less restrictive means” test that applies, for example, under U.S. antitrust law.[266] And, of course, unlike the traditional antitrust burden-shifting framework, the initial burden of proof apparently rests with the defendant,[267] as does the demonstration (by “clear and compelling evidence”) that the conduct is necessary to achieve the countervailing benefits.[268]

The DMCC certainly incorporates many more consumer welfare considerations than other DCRs. But marginality of consumer welfare as a relevant policy factor is compounded in the UK by the fact that CMA decisions would be subject only to “judicial review.”[269] Firms will thus be unable to challenge the authority’s factual assessments on questions such as indispensability and proportionality.[270] Even the chance that such a thing could be shown will be of limited value to affected firms because the exemption can apply only once an investigation into a breach of a conduct requirement is underway.[271]

The narrow and strict exceptions to the above DCRs confirm the downgraded status of consumer welfare in digital competition regulation (vis-à-vis competition law). The broader question, however, is whether a pro-consumer approach is even compatible with the overarching goals of digital competition regulation. A corollary of promoting competitors and leveling down gatekeepers is that successful companies and their products are made worse—often at consumers’ expense. For instance, choice screens may facilitate some competitors, but at the expense of the user experience.[272] Not integrating products might give a leg up to competing services, but consumers might resent the diminished functionality.[273] Mandated interoperability may similarly reduce the benefits an incumbent enjoys from network effects, but users may prefer the improved safety, privacy, and curation that typically comes with closed or semi-closed “walled-garden” ecosystems, like Apple’s iOS.[274]

In sum, proponents of DCRs appear to view losses in consumer welfare as an acceptable (and potentially even desirable) tradeoff for competitors’ increased ability to contest incumbents’ positions, as well as for wealth transfers across the supply chain that are seen as inherently just, equitable, and fair.

IV. The Perils of Redistributive and Protectionist Competition Regulation

While competition enforcement can affect the allocation of rents among firms, this is generally not the goal of competition policy. The only rent redistribution that is, in principle, relevant in competition law is the one between companies that misuse their market power and consumers (or, in some cases, trading parties). But the overarching goal in antitrust law is to rectify distortions of competition that result in deadweight loss and that transfer consumer surplus to the monopolist; it is not to allocate resources among a set of hand-picked “big” firms and their smaller rivals in way that legislators or regulators consider “fair.” It is the market, not the government, that determines what is “fair,” and competition laws exist to preserve, not to rewrite, that outcome.

Indeed, even some advocates of incorporating political goals into antitrust law, such as former U.S. FTC Chairman Robert Pitofsky, saw no merit in using competition law to accomplish the objectives like those espoused by DCRs, including the protection of small businesses, mandatory interoperability, and the redistribution of income to achieve social goals:

There are a number of non-economic concerns that can play no useful role in antitrust enforcement. These include (1) protection for small businessmen against the rigors of competition, (2) special rights for franchisees and other distributors to continuing access to a supplier’s products or services regardless of the efficiency of their distribution operation and the will of the supplier (a kind of civil rights statute for distributors), and (3) income redistribution to achieve social goals.[275]

This is for good reason. Rent redistribution among firms entails significant risks of judicial error and rent seeking. Regulators may require firms to supply their services at inefficiently low prices that are not mutually advantageous, which may in turn diminish those firms’ incentives to invest and innovate.

DCR backers may retort that rent redistribution is the goal of most natural monopoly regulations (such as those in the telecommunications and energy-distribution industries), which generally rely on both price regulation and access regimes to favor downstream firms and (ultimately) consumers.[276] But digital markets tend to be very different from those traditionally subject to price regulation and access regimes. And even in those industries, price regulation and access regimes raise many difficulties, such as identifying appropriate price/cost ratios and fleshing out the nonprice aspects of the goods/services or regulated firms.

Those difficulties are compounded in the fast-moving digital space, where innovation cycles are faster, and where yesterday’s prices and nonprice factors may no longer be relevant today.[277] In short, rent redistribution is difficult to do well in traditional natural-monopoly settings, and may be impossible to do without judicial error in the digital world.

Furthermore, assuming such redistribution was to take place, what would a fair redistribution entail? “Fairness” is subjective, and, as such, in the eye of the beholder.[278] Moreover, reasonable people may and often do disagree on what is and is not fair. What is perceived as “unfair” by the app distributor who pays a commission to use a platform’s in-app payment system may seem “fair” to the owner of the operating system and the app store, who makes significant investments to maintain them.[279] Because fairness is such an inherently elusive concept,[280] “fair” and “unfair” must ultimately be defined by DCRs by induction (i.e., from the bottom up, in a “you know it when you see it” approach), which is difficult to square with any cogent normative theory or limiting principle.[281]

For example, in response to claims that Apple must allow competing in-app payment services (IAPs) to operate in the App Store in order to make its 30% IAP fee more competitive (i.e., cheaper), Apple would seem to be well within its rights to allow independent payment processors to compete, charge an all-in fee of 30% when Apple’s IAP is chosen, and charge app developers a somewhat reduced, mandatory, per-transaction fee when Apple’s IAP is not used.[282] Indeed, where such a remedy has already been imposed, that is exactly what Apple has done.” In the Netherlands, where Apple was required by the Dutch Authority for Consumers and Markets (“ACM”) to uncouple distribution and payments for dating apps, Apple adopted the following policy:

Developers of dating apps who want to continue using Apple’s in-app purchase system may do so and no further action is needed…. Consistent with the ACM’s order, dating apps that . . . use a third-party in-app payment provider will pay Apple a commission on transactions. Apple will charge a 27% commission on the price paid by the user, net of value-added taxes. This is a reduced rate that excludes value related to payment processing and related activities.[283]

The company responded similarly to the DMA.[284]

“It is not hard to see the fundamental problem with this approach. If a 27% commission plus competitive payment-provider fee permits more ‘competition’ than complete exclusion of third-party providers, then surely a 26% fee would permit even more competition. And a 25% fee more still.”[285] Where such an approach logically ends is theoretically unlimited and defined by where a self-interested competitor or customer wants it to end—presumably at zero fee.[286] Unsurprisingly, of course, complementor and competitor firms have already complained—vociferously—of Apple’s DMA compliance proposal.[287]

Even if it were possible to identify a logical stopping point, doing so would entail the kind of price control that antitrust law has long rejected as being at loggerheads with a free market.[288] Without a measurable market failure, what is the frontier of fairness? When does a complaint stop being a competition or gatekeeper issue and become a private dispute about wanting to pay less—or nothing—for a service?[289]

Another obvious problem with facilitating competitors and leveling down gatekeepers is that it discourages investment, innovation, and competition on the merits. Having been encouraged to bring new, innovative products to market and compete for consumers’ business, successful companies—now branded with the pejorative “gatekeeper” epithet—are turned upon and subjected to punitive regulation.[290] The benefits that they have legitimately and arduously acquired are dissipated across the supply chain, and their competitors, who lacked the foresight and business acumen to make the same or similar investments, are rewarded for their sluggishness.[291] This stifles the mechanisms that propel competition, and is, for this very reason, generally not a sound way of approaching competition policy (or competition regulation). As Justice Learned Hand observed almost 80 years ago, “the successful competitor, having been urged to compete, must not be turned upon when he wins.”[292] There is no reason why digital competition regulation should be impervious to that logic.

The abrupt shift from competition law to digital competition regulation also sends investors the wrong message. It is well-established in the economic literature that uncertainty about the future can have real economic effects—particularly for irreversible decisions like sunk-cost investments.[293] Unexpected shifts in policy can create or exacerbate this uncertainty by creating “economic policy uncertainty.”[294] As one commentator put it: “Commitment issues arise where a government commits itself in one period to behaving in certain ways in the future but, when it comes to a future point in time, reneges on the earlier commitment to reflect its preferences at that later point in time.”[295]

For example, today’s gatekeepers have made significant investments in data processing, vertical integration, scaling, and building ecosystems. Many of these investments are sunk, meaning that they can no longer be recouped or can be recouped only partially. With the various DCRs’ entry into force, however, gatekeepers can no longer fully utilize those investments. For instance, they cannot self-preference and thereby reap the full benefits of vertical integration;[296] they cannot use third-party data generated on the platforms they have built and in which they have invested; and they must now allow third parties and competitors to free ride on those investments in a number of ways, ranging from allowing sideloading to mandated data sharing.[297]

In dynamic contexts, time inconsistency can obviously affect firms’ actions and decisions, leading to diminished investments.[298] But it is also questionable how “fair” (to use the mot du jour of digital competition regulation) it is to expropriate a company’s sunk-cost investments by abruptly shifting the regulatory goalposts under a new paradigm of competition regulation that essentially subverts the logic of the previous one, and penalizes what was previously seen as permissible and even desirable conduct.

V. Coda: Beyond Digital Competition Regulation

Aldous Huxley once wrote that several excuses are always less convincing than one.[299] His point was that multiple justifications may often conceal the fact that none of them are entirely convincing in their own right. This maxim aptly captures the doubts that persist surrounding digital competition regulations.

On the surface, DCRs pursue a variety of sometimes overlapping, sometimes contradictory, and sometimes disparate goals and objectives.[300] Some of these goals and objectives hearken back to familiar antitrust themes, but it would be a mistake to treat DCRs as either an appendix to or extension of, competition law.[301] Unlike mainstream competition laws, DCRs address a moral, rather than an economic failure. DCRs emphasize notions of power that are foreign to competition law, essentially promulgating a new form of competition regulation that subverts the logic, rationale, and goals of the existing and rigorously supported paradigm.

This approach to regulating competition may be new, but it is not original. On the contrary, the use of antitrust law to castigate firms that are seen as “too big and powerful,” promote visions of social justice, and facilitate laggard competitors (even at the expense of competition or consumer welfare) have been around since the inception of the Sherman Act.[302] In this sense, those who say that digital competition regulation is not competition law, and should therefore not be judged by competition-law standards,[303] are correct on the form but wrong on the substance.[304] They miss the bigger and more important point, which is that, regardless of its legal classification, digital competition regulation is competition regulation, just not the kind we have known for (at least) the last half a century.

The rationale that underpins—and may ultimately undermine—digital competition regulation can be explained as follows:[305]

  • Competition is no longer about consumer-facing efficiency but about fairness and the correction of perceived power imbalances.
  • In practice, this means improving the lot of some, while “leveling down” others, regardless of the respective merits or demerits of each group (or their products).
  • In this world, “contestability” is not so much the ability to displace an incumbent through competition on the merits, but very much the reverse: It is about lowering the competitive bar to increase the number of companies in the market, full stop.

Whether or not this benefits consumers is largely immaterial, as the normative lodestars of digital competition regulation—fairness and contestability—are seen as having inherent moral value and are thus removed from any utilitarian calculus of countervailing efficiencies (except, arguably, increases in competitors’ market shares).

Ultimately, however, this “new” approach to competition will have to reckon with the same problems and contradictions as the erstwhile antitrust paradigms from which it draws inspiration:

  • The minefield of redistributive policies is likely to hamstring investment and innovation by targeted digital platforms.
  • It is also likely to encourage costly and self-defeating rent-seeking behavior by self-interested third parties.

Moreover, the irony is likely not lost on even the most casual observer that, for regulations so obsessed with “fairness,” it is fundamentally unfair for DCRs to siphon rents away from some companies and into others by fiat and to force those companies to share their hard-won competitive advantages with others who have not had the foresight or business acumen to make the same investments in a timely fashion.

  • Ultimately, these dynamics will impede investment and curtail economic growth, affecting a macroeconomic transfer from the entire citizenry to a few politically favored domestic firms and to foreign jurisdictions with relatively less deleterious policies.[306]

It is difficult to overstate how big of a departure from competition law this approach to competition regulation is. But digital competition regulation is potentially more than just a digression from established principles in a relatively niche, technical field like competition law. Under the most expansive version of this interpretation, digital competition regulation heralds a new conception of the role and place of companies, markets, and the state in society.

In this “post-neoliberal” world,[307] the role of the state would not be to address market failures that harm consumers through discrete interventions guided by general, abstract, and reactive rules of general applicability (such as, among others, competition law), but to intercede aggressively to redraw markets, redesign products, pick winners, and redistribute rents—indeed, to act as the ultimate ordering power of the economy.[308]

It is not difficult to see how “old” competition-law principles, such as the consumer-welfare standard, effects-based analysis, and the procedural safeguards designed to cabin enforcers’ discretion, are anathema to this system, and in danger of being replaced by it.

But for now, this remains just a hypothesis, and some would say—perhaps rightly so—an alarmist one. Yet there are unmistakable signs—as unmistakable as social science will allow—that a new paradigm of political philosophy is in the making: from the rehabilitation of once-maligned idea of industrial policy,[309] to the rise of new activist movements like “Law and Political Economy” in U.S. law schools,[310] to the ascension in academia and policy of neo-Brandeisianism,[311] to recurrent proclamations of the “death of neoliberalism”[312] and its “idols,” including the consumer welfare standard in antitrust law.[313]

It is still too early to assume that this outcome is a foregone conclusion, however, and the potential global spread of digital competition regulations currently remains just that—a potential. As we gain more insight into the actual consequences of enacted digital competition regulations in places like the EU and Germany, and as other jurisdictions consider the problematic implications for their own economies, perhaps today’s regulatory momentum will be stymied. Only time will tell whether digital competition regulation was truly a sign of things to come, or merely a small but ultimately insignificant abrupt dirigiste turn in the zigzagging of antitrust history.[314] And only time will tell whether the approach to competition regulation promulgated by digital competition regulation will stay confined to the activities of a few large concerns and a handful of core platform services, or whether its logic will, in the end, seep into other spheres of policy and social life.

 

[1] Regulation (EU) 2022/1925 of the European Parliament and of the Council of 14 September 2022 on Contestable and Fair Markets in the Digital Sector and amending Directives (EU) 2019/1937 and (EU) 2020/1828, 2022 O.J. (L 265) 1 (hereinafter “Digital Markets Act” or “DMA”).

[2] “Digital competition regulation” and “DCR” are used interchangeably throughout to refer both to rules already in place and to rules currently under consideration. Context on legislative status will be given where available and appropriate.

[3] The terms “competition law” and “antitrust law” are used interchangeably.

[4] See, e.g., DMA, supra note 1, at Art. 6(5) (“The gatekeeper shall not treat more favourably, in ranking and related indexing and crawling, services and products offered by the gatekeeper itself than similar services or products of a third party. The gatekeeper shall apply transparent, fair and non-discriminatory conditions to such ranking.”).

[5] See, e.g., id., at Art. 5(5) (“The gatekeeper shall allow end users to access and use, through its core platform services, content, subscriptions, features or other items, by using the software application of a business user, including where those end users acquired such items from the relevant business user without using the core platform services of the gatekeeper.”); Art 5(7) (“The gatekeeper shall not require end users to use, or business users to use, to offer, or to interoperate with, an identification service, a web browser engine or a payment service, or technical services that support the provision of payment services, such as payment systems for in-app purchases, of that gatekeeper in the context of services provided by the business users using that gatekeeper’s core platform services.”); Art. 6(4) (“The gatekeeper shall allow and technically enable the installation and effective use of third-party software applications or software application stores using, or interoperating with, its operating system….”); Art. 6(12) (“The gatekeeper shall apply fair, reasonable, and non-discriminatory general conditions of access for business users to its software application stores, online search engines and online social networking services….”).

[6] See, e.g., id., at Art. 5(2) (“The gatekeeper shall not… (a) process, for the purpose of providing online advertising services, personal data of end users using services of third parties that make use of core platform services of the gatekeeper.”); Art. 6(2) (“The gatekeeper shall not use, in competition with business users, any data that is not publicly available that is generated or provided by those business users in the context of their use of the relevant core platform services or of the services provided together with, or in support of, the relevant core platform services, including data generated or provided by the customers of those business users.”).

[7] See, e.g., id. at Art. 6(7) (“The gatekeeper shall allow providers of services and providers of hardware, free of charge, effective interoperability with, and access for the purposes of interoperability to, the same hardware and software features… as are available to services or hardware provided by the gatekeeper. Furthermore, the gatekeeper shall allow business users and alternative providers of services provided together with, or in support of, core platform services, free of charge, effective interoperability with, and access for the purposes of interoperability to, the same operating system, hardware or software features, regardless of whether those features are part of the operating system, as are available to, or used by, that gatekeeper when providing such services.”); Art 7(1) (“Where a gatekeeper provides number-independent interpersonal communications services…, it shall make the basic functionalities of its number-independent interpersonal communications services interoperable with the number-independent interpersonal communications services of another provider offering or intending to offer such services in the Union, by providing the necessary technical interfaces or similar solutions that facilitate interoperability, upon request, and free of charge.”).

[8] See, e.g., id. at Art. 6(10) (“The gatekeeper shall provide business users and third parties authorised by a business user, at their request, free of charge, with effective, high-quality, continuous and real-time access to, and use of, aggregated and non-aggregated data, including personal data, that is provided for or generated in the context of the use of the relevant core platform services or services provided together with, or in support of, the relevant core platform services by those business users and the end users engaging with the products or services provided by those business users.”); Art. 6(11) (“The gatekeeper shall provide to any third-party undertaking providing online search engines, at its request, with access on fair, reasonable and non-discriminatory terms to ranking, query, click and view data in relation to free and paid search generated by end users on its online search engines.”).

[9] See, e.g., DMA, supra note 1, at Recital 7 (“[T]he purpose of this Regulation is to contribute to the proper functioning of the internal market by laying down rules to ensure contestability and fairness for the markets in the digital sector in general, and for business users and end users of core platform services provided by gatekeepers in particular.”).

[10] Press Release, Amendment of the German Act Against Restraints of Competition, Bundeskartellamt (Jan. 19, 2021), https://www.bundeskartellamt.de/SharedDocs/Meldung/EN/Pressemitteilungen/2021/19_01_2021_GWB%20Novelle.html.

[11] Id.

[12] The Act on the Protection of Competition No. 4054, Official Gazette (Dec. 13, 1994) (Turk.).

[13] See, E-Pazaryeri Platformari Sektor Incelemesi Nihai Raporu, Turkish Competition Authority (2022), available at https://www.tpf.com.tr/dosyalar/2022/06/e-pazaryeri-si-raporu-pdf.pdf (Turkish language only).

[14] Arguably, however, there is an increased emphasis on “business rights.”

[15] See Lee & Ko (law firm), KFTC Proposes Ex-Ante Regulation of Platforms Under the “Platform Competition Promotion Act,Legal 500 (Jan. 4, 2024), https://www.legal500.com/developments/thought-leadership/kftc-proposes-ex-ante-regulation-of-platforms-under-the-platform-competition-promotion-act.

[16] Park So-Jeong & Lee Jung-Soo, S. Korea Speeds Up to Regulate Platform Giants Such as Google or Apple, The Chosun Daily (Feb. 4, 2024), https://www.chosun.com/english/national-en/2024/02/04/MCCJQZTJ3ZC5JJ7NVDM46D6R2I.

[17] See, e.g., id.

[18] Monopoly Regulation and Fair Trade Act, Act. No, 3320, Dec. 31, 1980, amended by Act No. 18661, Dec. 28, 2021 (S. Kor.).

[19] Digital Markets Competition and Consumer Act, 2024 c.13 (UK) (hereinafter “DMCC”).

[20] See, e.g., DMCC, id. at Sec. 2, which defines companies with “strategic market status” as those with “substantial and entrenched market power.” By contrast, the DMA states: “Although Articles 101 and 102 of the Treaty on the Functioning of the European Union (TFEU) apply to the conduct of gatekeepers, the scope of those provisions is limited to certain instances of market power, for example dominance on specific markets and of anti-competitive behaviour, and enforcement occurs ex post and requires an extensive investigation of often very complex facts on a case by case basis. Moreover, existing Union law does not address, or does not address effectively, the challenges to the effective functioning of the internal market posed by the conduct of gatekeepers that are not necessarily dominant in competition-law terms.” DMA, supra note 1, at Recital 5.

[21] DMCC, supra note 19, at Part 1, Chap. 4.

[22] Press Release, New Bill to Stamp Out Unfair Practices and Promote Competition in Digital Markets, UK Competition and Markets Authority (Apr. 25, 2023), https://www.gov.uk/government/news/new-bill-to-stamp-out-unfair-practices-and-promote-competition-in-digital-markets.

[23] DMCC, supra note 19, at Part 4.

[24] See Competition Act 1998 c.41 (UK).

[25] See Press Release, supra note 22.

[26] Id.

[27] Id. (emphasis added).

[28] The DMCC defines “digital activities” as those involving the purchase or sale of goods over the internet, or the provision of digital content. DMCC, supra note 19, Sec. 3.

[29] The provisions on digital markets are covered in Part 1 of the DMCC. DMCC Part 2 covers competition.

[30] Digital Platform Services Inquiry, Australian Competition and Consumer Commission, https://www.accc.gov.au/inquiries-and-consultations/digital-platform-services-inquiry-2020-25 (last accessed May 13, 2024) (hereinafter “DPS Inquiry”).

[31] Digital Platform Services Inquiry, Interim Report 5, Australian Competition and Consumer Commission (2022), at 5 (“The ACCC recommends a new regulatory regime to promote competition in digital platform services. The regime would introduce new competition measures for digital platforms.”). The term “digital regime” has also been used to describe the authority granted to the UK’s newly created Digital Markets Unit. See Moritz Godel, Mayumi Louguet, Paula Ramada, & Rhys Williams, Monitoring and Evaluating the Digital Markets Unit (DMU) and New Pro-Competition Regime for Digital Markets, London Economics (Jan. 2023), available at https://assets.publishing.service.gov.uk/media/64538076c33b460012f5e65d/monitoring_and_evaluating_the_new_pro-competition_regime_for_digital_markets.pdf.

[32] Digital Platform Services Inquiry, Interim Report 5, id. at 5.

[33] American Innovation and Choice Online Act, S. 2992, 117th Cong. (2022) (hereinafter “AICOA”).

[34] Open App Market Act, S. 2710, 117th Cong. (2022) (hereinafter “OAMA”).

[35] ACCESS Act of 2021, H.R. 3849, 117th Cong. (2021) (hereinafter “ACCESS Act”).

[36] AICOA, supra note 33, at § 3.

[37] OAMA, supra note 34. The bill’s title reads: “to promote competition and reduce gatekeeper power in the app economy, increase choice, improve quality, and reduce costs for consumers.”

[38] Press Release, Klobuchar, Grassley, Colleagues to Introduce Bipartisan Legislation to Rein in Big Tech, U.S. Sen. Amy Klobuchar (Oct. 14, 2021), https://www.klobuchar.senate.gov/public/index.cfm/2021/10/klobuchar-grassley-colleagues-to-introduce-bipartisan-legislation-to-rein-in-big-tech. The bill’s title is somewhat ambiguous, as it reads: “to provide that certain discriminatory conduct by covered platforms shall be unlawful, and for other purposes.” See AICOA, supra note 33.

[39] See id.

[40] Comments of the American Bar Association Antitrust Law Section Regarding the American Innovation and Choice Online Act (S. 2992), American Bar Association Antitrust Law Section (Apr. 27, 2022) at 5, available at https://appliedantitrust.com/00_basic_materials/pending_legislation/Senate_2021/S2992_aba_comments2022_04_27.pdf (hereinafter “ABA Letter”).

[41] Press Release, Klobuchar Statement on Judiciary Passage of Legislation to Set App Store Rules of the Road, U.S. Senator Amy Klobuchar (Feb. 3, 2022), https://www.klobuchar.senate.gov/public/index.cfm/2022/2/klobuchar-statement-on-judiciary-committee-passage-of-legislation-to-set-app-store-rules-of-the-road.

[42] This is stated in the title of the bill. The ACCESS Act also claims to “encourage entry by reducing or eliminating the network effects that limit competition with the covered platform.” See ACCESS Act, supra note 35, at § 6(c).

[43] Press Release, Lawmakers Reintroduce Bipartisan Legislation to Encourage Competition in Social Media, U.S. Sen. Mark R. Warner (May 25, 2022), https://www.warner.senate.gov/public/index.cfm/2022/5/lawmakers-reintroduce-bipartisan-legislation-to-encourage-competition-in-social-media. See also Legislation Summary, The ACCESS Act of 2022, U.S. Senator Mark R. Warner (May 25, 2022), available at https://www.warner.senate.gov/public/_cache/files/9/f/9f5af2f7-de62-4c05-b1dd-82d5618fb843/BA9F3B16A519F296CAEDE9B7EFAB0B7A.access-act-one-pager.pdf.

[44] Online Intermediation Platforms Market Inquiry, Summary of Final Report and Remedial Actions, South African Competition Commission (2023) at 13, available at https://www.compcom.co.za/wp-content/uploads/2023/07/CC_OIPMI-Summary-of-Findings-and-Remedial-action.pdf (hereinafter “SACC Report”).

[45] Projeto de Lei PL 2768/2022, https://www.camara.leg.br/proposicoesWeb/fichadetramitacao?idProposicao=2337417 (Braz.) (Portuguese language only) (hereinafter “PL 2768”).

[46] Id. at Art. 4.

[47] See id. at Art. 5.

[48] DMA, supra note 1, at Recitals 2 & 31. On the two objectives being intertwined, see id. at Recital 34.

[49] Id. at Recital 10.

[50] Id.

[51] Anti-Competitive Practices by Big Tech Companies, Fifty Third Report, Standing Committee on Finance, 17th Lok Sahba (India) (2022-23) at 29, available at https://eparlib.nic.in/bitstream/123456789/1464505/1/17_Finance_53.pdf.

[52] Report of the Committee on Digital Competition Law (India) (2024), available at https://www.mca.gov.in/bin/dms/getdocument?mds=gzGtvSkE3zIVhAuBe2pbow%253D%253D&type=open (hereinafter “CDC Report”).

[53] Id. at 151-92, Annexure IV: Draft Digital Competition Bill.

[54] The Competition Act, No. 12 of 2003, INDIA CODE (1993) (hereinafter “ICA”).

[55] CDC Report, supra note 52 at 4, 42.

[56] See ICA, supra note 54, at preamble. The ICA does not mention “contestability.”

[57] Report of the High-Powered Expert Committee on Competition Law and Policy (India) (1999), available at https://theindiancompetitionlaw.wordpress.com/wp-content/uploads/2013/02/report_of_high_level_committee_on_competition_policy_law_svs_raghavan_committee.pdf.

[58] See id. at 1.1.9 (“The ultimate raison d’être of competition is the interest of the consumer.”). See also id. at 1.2.0.

[59] See id. at 2.4.1.

[60] Id. at 3.2.8. “If multiple objectives are allowed to rein in the Competition Policy, conflicts and inconsistent results may surface detriment to the consumers… In addition, such concerns as community breakdown, fairness, equity and pluralism cannot be quantified easily or even defined acceptably… it needs to be underscored that attempts to incorporate such concerns may result in inconsistent application and interpretation of Competition Policy, besides dilution of competition principles. The peril is that the competitive process may be undermined, if too many objectives are built into the Competition Policy and too many exemptions/exceptions are laid down in dilution of competition principles.”

[61] See, e.g., Pelle Beems, The DMA in the Broader Regulatory Landscape of the EU: An Institutional Perspective, 19 Eur. Comp. J. 1, 27 (2023); Pierre Larouche & Alexandre De Streel, The European Digital Market: A Revolution Grounded on Traditions, 12 J. Eur. Comp. L. & Practice 542, 542 (2021) (arguing that the DMA’s conceptual nature is in a “difficult epistemological position”).

[62] See Nicolas Petit, The Proposed Digital Markets Act (DMA): A Legal and Policy Review, 12 J. Eur. Competition L. & Practice 529, 530 (2021) (“The DMA is essentially sector-specific competition law.”). The DMA’s competition-law DNA is also explicitly reflected in Section 1.4.1 of the Legislative Financial Statement, which is annexed to the DMA proposal. See id. (“The general objective of this initiative is to ensure the proper functioning of the internal market by promoting effective competition in digital markets.”). See also Beems, supra note 61, at 27 (“In my view, it could be desirable to qualify the DMA as a specific branch of competition law that applies to gatekeepers.”).

[63] See Giuseppe Colangelo, The European Digital Markets Act and Antitrust Enforcement: A Liaison Dangereuse, 5 Eur. L. Rev., 597, 610 (2022) (“In service of this goal of speedier enforcement, the DMA dispenses with economic analysis and the efficiency-oriented consumer welfare test, substituting lower legal standards and evidentiary burdens.”). See also Pablo Iba?n?ez Colomo, The Draft Digital Markets Act: A Legal and Institutional Analysis, 12 J. Eur. Comp. L. & Prac. 561, 566 (2021).

[64] It should be underscored that “power” here means something much broader and general than the narrow concept of “market power” under competition law. Unlike “market power,” assertions that so-called “Big Tech” wield “power” are not intended to invoke a state-of-the art term, but rather are general references to companies’ size, resources, and capacity. Neo-Brandeisians like Lina Khan and Tim Wu often refer to the “power” of Big Tech in such terms. See generally Tim Wu, The Curse of Bigness: Antitrust in the Gilded Age (2018). For Wu, like Khan, the harmful “power” of Big Tech refers not just to concentrated economic power or market power, but to a range of other mechanisms by which these firms allegedly hold sway over democracy, elections, and society at-large. See also Zephyr Teachout & Lina Khan, Market Structure and Political Law: A Taxonomy of Power, 9 Duke J. Const. L. & Pub. Pol’y 37,74 (2014).

[65] See, e.g., Joshua Q. Nelson, Joe Concha: “Big Tech is More Powerful than Government” in Terms of Speech, Fox News (Jan. 27 2021), https://www.foxnews.com/media/joe-concha-big-tech-more-powerful-government-speech; How 5 Tech Giants Have Become More like Governments than Companies, Fresh Air (Oct. 26, 2017), https://www.npr.org/2017/10/26/560136311/how-5-tech-giants-have-become-more-like-governments-than-companies (“New York Times tech columnist Farhad Manjoo warns that the ‘frightful five’—Amazon, Google, Apple, Microsoft and Facebook—are collectively more powerful than many governments.”).

[66] See, e.g., Press Release, Klobuchar, Grassley Statements on Judiciary Committee Passage of First Major Technology Bill on Competition to Advance to Senate Floor Since the Dawn of the Internet, U.S. Sen. Amy Klobuchar (Jan. 20, 2022), https://www.klobuchar.senate.gov/public/index.cfm/2022/1/klobuchar-grassley-statements-on-judiciary-committee-passage-of-first-major-technology-bill-on-competition-to-advance-to-senate-floor-since-the-dawn-of-the-internet (“Everyone acknowledges the problems posed by dominant online platforms.”).

[67] See, e.g., DMA, supra note 1, at Recitals 3, 4, 33, & 62.

[68] See, e.g., The Social Dilemma (Exposure Labs, Argent Pictures & The Space Program, 2020); Tech Monopolies: Last Week Tonight with John Oliver (HBO, 2022); Yanis Varoufakis, Technofeudalism: What Killed Capitalism (2023); Shoshana Zuboff, The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power (2019).

[69] See Luca Bertuzzi, EU Commission Launches Connectivity Package with ‘Fair Share’ Consultation, EurActiv (Feb. 28, 2023), https://www.euractiv.com/section/digital/news/eu-commission-launches-connectivity-package-with-fair-share-consultation. See also Daniele Condorelli, Jorge Padilla, & Zita Vasas, Another Look at the Debate on the “Fair Share” Proposal: An Economic Viewpoint, Compass Lexecon (2023), available at https://www.telefonica.com/en/wp-content/uploads/sites/5/2023/05/Compass-Lexecon-Report-on-the-fair-share-debate.pdf. On the supposed bargaining-power imbalance between large traffic originators and telecommunications companies, see id. at 1.34(d) (“There is a risk that the current unregulated arrangements result in no payments from LTOs due to asymmetries of information between industry participants, free-riding among LTOs, and the large imbalance in bargaining power between LTOs and TELCOs.”) See also id. at 3.77, 3.78 and 3.79-3.84 for the argument that the power imbalances require intervention. For a different view of “fair share,” see Giuseppe Colangelo, Fair Share of Network Costs and Regulatory Myopia: Learning from Net Neutrality Mistakes, 16 L. Innov. & Tech. 218 (2024).

[70] See Treasury Laws Amendment (News Media and Digital Platforms Mandatory Bargaining Code) Act 2021 (Austl.); for a defense of legislation forcing digital platforms to compensate media companies, see Zephyr Teachout, The Big Unfriendly Tech Giants, The Nation (Dec. 25, 2023), https://www.thenation.com/article/society/big-tech-nondiscrimination.

[71] News Media Bargaining Code, Australian Competition and Consumer Commission, https://www.accc.gov.au/focus-areas/digital-platforms/news-media-bargaining-code/news-media-bargaining-code (last accessed May 14, 2024).

[72] See, e.g., Journalism and Competition Preservation Act of 2023, S. 1094, 118th Cong. (2023); Online News Act (S.C. 2023, c.23) (Can.).

[73] See, e.g., DMA, supra note 1, at Recitals 1, 15, 20, & 62, and Art.1(b); DMCC, supra note 19, at Sec. 6(b); PL 2768, supra note 45, at Art. 2 (which defines the regulation’s targets as companies with the “power to control essential access”); German Competition Act in the version published on 26 June 2013 (Bundesgesetzblatt (Federal Law Gazette) I, p. 1750, 3245), as last amended by Article 1 of the Act of 25 October 2023 (Federal Law Gazette I, p. 294), Art.19(a) (1)5 (Ger.) (hereinafter “German Competition Act”).

[74] See, e.g., DMA, id. at Recital 23, Art. 3 & Art. 3(8)(a); DMCC, id. at Sec. 6(a); German Competition Act, id. at Art.19(a).

[75] “From Price to Power”? Reorienting Antitrust for the New Political Economy, panel at Antitrust, Regulation and the Next World Order conference, Youtube.com (Feb. 2, 2024), https://www.youtube.com/watch?v=rWNIhGA8Rx8&ab_channel=Antitrust%2CRegulationandtheNextWorldOrder.

[76] See infra, Section III.

[77] DMA, supra note 1, at Recital 4 (emphasis added).

[78] Id. at Recital 33.

[79] See Press Release, Digital Markets Act: Commission Welcomes Political Agreement on Rules to Ensure Fair and Open Digital Markets, European Commission (Mar. 25, 2022), https://ec.europa.eu/commission/presscorner/detail/en/ip_22_1978 (“What we want is simple: Fair markets also in digital. We are now taking a huge step forward to get there—that markets are fair, open and contestable…. This regulation, together with strong competition law enforcement, will bring fairer conditions to consumers and businesses for many digital services across the EU.”) (emphasis added). See also Press Release, Klobuchar, Grassley, Colleagues to Introduce Bipartisan Legislation to Rein in Big Tech, U.S. Sen. Amy Klobuchar (Oct. 14, 2021), https://www.klobuchar.senate.gov/public/index.cfm/2021/10/klobuchar-grassley-colleagues-to-introduce-bipartisan-legislation-to-rein-in-big-tech (joint statement by Sens. Amy Klobuchar and Chuck Grassley with references to “fair competition,” “fair prices,” “unfairly preferencing their own products,” “fairer prices,” “unfairly limiting consumer choices,” “fair rules for the road”).

[80] For example, the DMA mentions the term “fairness,” or some variation thereof, 90 times in 66 pages.

[81] William G. Shepherd, Contestability vs. Competition: Once More, 71 Land Econ. 299, 304 (1995).

[82] DMA, supra note 1, at Recital 11 (emphasis added).

[83] See id. at Arts. 5-7.

[84] See id. at Art. 3.

[85] See CDC Report, supra note 52, at 2.

[86] See, e.g., German Competition Act, supra note 73, at Section 19a(1) (stating that, in determining the paramount significance for competition across an undertaking’s markets, there shall be particular account taken of its dominant position; financial strength or access to other resources; vertical integration; access to data relevant to competition; and the relevance of its activities for third-party access to supply and sales markets). See also DMCC, supra note 19, at Secs. 5 & 6 (substantial and entrenched market power is a cumulative criterion, together with a position of strategic significance); DMA, supra note 1, at Recital 5 & Art. 3 (market power is irrelevant because the criteria for designation are (a) having a significant impact on the internal market; (b) providing a core platform service that is an important gateway for business users to reach end users; and (c) enjoying an entrenched and durable position). PL 2768, supra note 45, does not mention market power, and instead references control of essential access. The U.S. tech bills do not define covered platforms on the basis of market power, either.

[87] The DMA explicitly rejects it. See DMA, id. at Recital 23.

[88] Examples include online-intermediation services, online search engines, online social-networking services, and video-sharing platform services. See DMA, id. at Art. 2.

[89] See Elise Dorsey, Geoffrey A. Manne, Jan M. Rybnicek, Kristian Stout, & Joshua D. Wright, Consumer Welfare & the Rule of Law: The Case Against the New Populist Antitrust Movement, 47 Pepp. L. Rev. 861, 916 (2020).

[90] There are some exceptions to this. Some digital competition regulations seem to incorporate consumer-welfare considerations. One example is the KFTC’s recently proposed digital competition regulation, which is putatively aimed at protecting business users and consumers and would allow for an efficiency defense. See Lee & Ko, supra note 15. (NB: At the time of writing the text of the regulation is unavailable in English).

[91] See “From Price to Power”? Reorienting Antitrust for the New Political Economy, supra note 75.

[92] See also infra, Sections II.C & II.D.

[93] On the essential facilities doctrine in the United States, see Philip K. Areeda, Essential Facilities: An Epithet in Need of Limiting Principles, 58 Antitrust L.J. 841 (1990). Since the U.S. Supreme Court’s ruling in Trinko, no plaintiff has successfully litigated an essential facilities claim to judgment. See Verizon Communications, Inc. v. Law Offices of Curtis V. Trinko, LLP, 540 U.S. 398 (2003) (“As a general matter, the Sherman Act “does not restrict the long recognized right of [a] trader or manufacturer engaged in an entirely private business, freely to exercise his own independent discretion as to parties with whom he will deal.’”) (citations omitted).

[94] See European Commission, Communication from the Commission—Guidance on the Commission’s enforcement priorities in applying Article 82 of the EC Treaty to abusive exclusionary conduct by dominant undertakings, OJ C 45, 24.2.2009 (2009), at Recital 13.

[95] Richard Whish & David Bailey, Competition Law (10th ed. 2021), at 142-3.

[96] See, e.g., Christopher M. Seelen, The Essential Facilities Doctrine: What does it Mean to be Essential? 80 Marq. L. Rev. 1117, 1123 (1997), discussing free-riding and the moral-hazard considerations implicit in defining essential facilities as essential to a competitor, rather than to competition. (“[A]pplication of the doctrine often focuses unduly on the effect of the denial of access on the plaintiff’s ability to compete-not on the infringement of competition which is the objective of the antitrust law.” (citations omitted), and at 1124 (“There exists a moral hazard when plaintiffs bring an essential facility claim against a single competitor. Indeed, firms might try to use the doctrine to take a ‘free ride’ on the efforts of a competitor.”). See also, Verband Deutscher Wetterdienstleister v. Google, Reference No. 408 HKO 36/13, Court of Hamburg (Apr. 4, 2013) at 4 (“[A]pplicant’s members have been participating and will continue to participate in Google Search as ‘free riders.’ They demand favorable positioning without offering compensation.”); Continental T.V., Inc. v. GTE Sylvania Inc., 433 U.S. 36 (1977) (applying the rule of reason to territorial restrictions because they might be imposed by a manufacturer who wishes to prevent dealers from free-riding on point-of-sale services provided by another dealer).

[97] See, e.g., Brown Shoe Co. v. United States, 370 U.S. 294, 344 (1962) (“It is competition, not competitors, which the Act protects.”). See also Donna E. Patterson and Carl Shapiro, Transatlantic Divergence in GE/Honeywell: Causes and Lessons, Antitrust 18 (2001); Maureen K. Ohlhausen & John M. Taladay, Are Competition Officials Abandoning Competition Principles?, 13 J. Comp. L. & Practice 463 (2022).

[98] See, e.g., Trinko, 540 U.S. at 408; Pac. Bell Tel. Co. v. linkLine Commc’ns, Inc., 555 U.S. 438, 448 (2009); Chavez v. Whirlpool Corp., 113 Cal. Rptr. 2d, 182-83 (Ct. App. 2001); Foremost Pro Color, Inc. v. Eastman Kodak Co., 703 F.2d 534, 545 (9th Cir. 1983) (“The antitrust laws [do] not impose a duty on [firms] . . . to assist [competitors] . . . to ‘survive or expand.’”) (citations omitted).

[99] Mario Monti, Speech at the Third Nordic Competition Policy Conference, Stockholm: Fighting Cartels Why and How? Why Should We be Concerned with Cartels and Collusive Behaviour? (Sept. 11, 2000). See also Trinko 540 U.S. at 408 (characterizing cartels as “the supreme evil of antitrust”).

[100] Although there is a rebuttable presumption to the contrary, undertakings can argue that agreements containing hardcore restrictions should benefit from an individual exemption under Article 101(3) TFEU. See Judgment of 13 October 2011, Pierre Fabre, C?439/09, ECLI:EU:C:2011:649. Moreover, “hardcore restrictions,” like cartels, need to be restrictions of competition “by object,” within the meaning of Art. 101(1) TFEU. Undertakings can hence try to demonstrate that a given hardcore restriction, examined in its economic and legal context, is objectively justified and does not fall within the prohibition laid down in Article 101(1) TFEU. See Opinion of Advocate General Wahl delivered on 16 July 2017, Coty, C-230/16, ECLI:EU:C:2017:603.

[101] For an extensive set of views opposing those endorsed by proponents of digital competition regulations, see, e.g., The Global Antitrust Institute Report on the Digital Economy (Joshua D. Wright & Douglas H. Ginsburg, eds., Nov. 11, 2020), https://gaidigitalreport.com.

[102] W. Brian Arthur, Increasing Returns and the New World of Business, 74 Harv. Bus. Rev. 100, 106 (1996). See also Dirk Auer & Geoffrey A. Manne, Antitrust Dystopia and Antitrust Nostalgia: Alarmist Theories of Harm in Digital Markets and their Origins, 28 Geo. Mason L. Rev. 1279, 1294 (2023) (“But while these increasing returns can cause markets to become more concentrated, they also imply that it is often more efficient to have a single firm serve the entire market.”).

[103] See ABA letter, supra note 40.

[104] See Law No. 12.529 of 30 November, 2011 (Braz.), available at https://www.icao.int/sustainability/Documents/Compendium_FairCompetition/LACAC/LAW_12529-2011_en.pdf.

[105] See PL 2768, supra note 45, at Art. 4.

[106] See supra, Section I.

[107] See id.

[108] See, e.g., Rambus v. Fed. Trade Comm’n, 522 F.3d 456, 459 (D.C. Cir. 2008) (“[D]eceit merely enabling a monopolist to charge higher prices than it otherwise could have charged—would not in itself constitute monopolization.”). See also Judgment of 4 August 2023, Meta Platforms v. Bundeskartellamt, Case C 252-21, ECLI:EU:C:2023:537.

[109] For example, where a small company increases prices or downgrades its product, this can generally be corrected through competition, as the company will lose market share and be forced out of the market unless it changes its behavior. But when the same outcome is achieved through restrictions of competition or the misuse of market power, the market may be unable to respond effectively, and intervention may become necessary.

[110] We question whether this was ever the true intent behind DCRs. See infra, Section III.D. Some of the DCRs that do reference consumer benefits are the UK’s DMCC, supra note 19, at Sec.29, Australia’s Digital Platform Services Inquiry, Interim Report 5, supra note 31, at 6-7, and the recent Korean proposal, supra note 15.

[111] As noted earlier, market power is generally not a requirement of DCRs. One exception is the DMCC, where market power is one of the cumulative criteria for a company to have “significant market status,” and thus a precondition for the imposition of prohibitions and mandates. See DMCC, supra note 20.

[112] One of the best examples is the German Competition Act, supra note 73, at Section 19a. The German Competition Act states that “the relatively strict causality required between an undertaking’s dominant position and exploitative conduct […] has been abolished. Under the new rules, a normative causal link between the dominant position and the anticompetitive conduct is sufficient to establish an exploitative abuse.” Digital Markets Regulation Handbook (Thomas Graf, et al., eds. 2022) at 38-39, available at https://www.clearygottlieb.com/-/media/files/rostrum/22092308%20digital%20markets%20regulation%20handbookr16. In other words, not only is market power not required to designate an undertaking as having “paramount cross-market significance,” but specific forms of conduct can be mandated or prohibited without the need to prove a causal nexus between paramount cross-market significance and any finding of anticompetitive conduct. See also infra, Section II.B.

[113] See, e.g., Svend Albaek, Consumer Welfare in EU Competition Policy, in Aims and Values in Competition Law, 67, 75 (Caroline Heide-Jørgensen, Ulla Neergaard, Christian Bergqvist, & Sune T. Poulsen eds., 2013) (“In practice it turns out that we should understand ‘consumers’ as customers rather than ‘real’ or ‘final’ consumers. Paragraph 84 of the General Guidelines takes a first step towards clarifying this: ‘[C]onsumers within the meaning of Article 81(3) are the customers of the parties to the agreement and subsequent purchasers.”). See also Article 102 (c) TFEU, which prohibits dominant companies from “applying dissimilar conditions to equivalent transactions with other trading parties, thereby placing them at a competitive disadvantage” (emphasis added). For a U.S. perspective, see, e.g., Kenneth Heyer, Welfare Standards and Merger Analysis: Why Not the Best? 2 Comp. Pol’y Int’l 29 (2006).

[114] In the United States, the clearest early exponent of these ideas was Justice Louis D. Brandeis, who coined the term “curse of bigness” to refer to the material, social, and political ills that accompanied large corporations. See, e.g., Louis D. Brandeis, The Curse of Bigness: Miscellaneous Papers of Louis D. Brandeis (Osmond K. Fraenkel ed., 1934). In Europe, the notion is associated with the ordoliberal school. See, e.g., Wilhelm Roepke, A Humane Economy: The Social Framework of the Free Market (2014) at 32 (“If we want to name a common denominator for the social disease of our times, then it is concentration”).

[115] See, e.g. Wu, supra note 64. See also Sally Lee, Tim Wu Explains How Big Tech is Crippling Democracy, Columbia Magazine (Spring 2019), https://magazine.columbia.edu/article/how-mega-corporations-are-crippling-democracy (“Asked whether bigness must be bad by its very nature, Tim Wu replies: ‘well, it’s designed to put its own interests over human interests, to grow like a cancer, and to never die. I once heard someone say that if a corporation were a person, it would be a sociopath. Which brings us to the real question: who is this country for? For humans or these artificial entities?’”). See also Teachout & Khan, supra note 64, at 37 (“Ever-increasing corporate size and concentration undercut democratic self-governance by disproportionately influencing governmental actors, as recognized by campaign finance reformers.”); id. at 40-41 (“Antitrust means, for us, government power to limit company size and concentration; this incarnation is an ethos, not a legal term.”).

[116] See, e.g., Amanda Lotz, “Big Tech” Isn’t One Big Monopoly — It’s 5 Companies All in Different Businesses, The Conversation (Mar. 23, 2018), https://theconversation.com/big-tech-isnt-one-big-monopoly-its-5-companies-all-in-different-businesses-92791; Isobel A. Hamilton, Tim Cook Says He’s Tired of Big Tech Being Painted as a Monolithic Force That Needs Tearing Apart, Business Insider (May 7, 2019), https://www.businessinsider.com/apple-ceo-tim-cook-tired-of-big-tech-being-viewed-as-monolithic-2019-5. (“Tech is not monolithic. That would be like saying ‘all restaurants are the same,’ or ‘all TV networks are the same.’”) See also Nicolas Petit, Big tech and the Digital Economy: The Moligopoly Scenario (2022); Frank H. Easterbrook, Cyberspace and the Law of the Horse, 1996 U. Chi. Leg. Forum 207 (1996).

[117] See Friso Bostoen, Understanding the Digital Markets Act, 68 Antitrust Bull. 263, 282 (2023) (“It is difficult to find a common thread here. For starters, NIICS and cloud services are one-sided rather than multisided, so they can hardly be core platform services”).

[118] See Lazar Radic, Gatekeeping, the DMA, and the Future of Competition Regulation, Truth on the Market (Nov. 8, 2023), https://truthonthemarket.com/2023/11/08/gatekeeping-the-dma-and-the-future-of-competition-regulation. On tech disruption of traditional industries, see Adam Hayes, 20 Industries Threatened by Tech Disruption, Investopedia (Jan. 23, 2022), https://www.investopedia.com/articles/investing/020615/20-industries-threatened-tech-disruption.asp; on the bipartisan hostility toward “Big Tech” in the United States, see Nitasha Tiku, How Big Tech Became a Bipartisan Whipping Boy, Wired (Oct. 23, 2017), https://www.wired.com/story/how-big-tech-became-a-bipartisan-whipping-boy.

[119] See, e.g., Lina Khan, Amazon’s Antitrust Paradox, 126 Yale L.J. 710 (2017); Teachout & Khan, supra note 64; Kirk Ott, Event Notes: The Consumer Welfare Standard is Dead, Long Live the Standard, ProMarket (Nov.1, 2022), https://www.promarket.org/2022/11/01/event-notes-the-consumer-welfare-standard-is-dead-long-live-the-standard; Zephyr Teachout, The Death of the Consumer Welfare Standard, ProMarket (Nov. 7, 2023), https://www.promarket.org/2023/11/07/zephyr-teachout-the-death-of-the-consumer-welfare-standard.

[120] See, e.g., Rana Foroohar, The Great US-Europe Antitrust Divide, Financial Times (Feb. 5, 2024), https://www.ft.com/content/065a2f93-dc1e-410c-ba9d-73c930cedc14.

[121] Neo-Brandeisians often argue that antitrust law should strive to uphold a dispersed market structure and protect small business. See, e.g., Lina Khan & Sandeep Vaheesan. Market Power and Inequality: The Antitrust Counterrevolution and its discontents, 11 Harv. L. & Pol’y Rev. 235, 237 (2017) (“Antitrust laws must be reoriented away from the current efficiency focus toward a broader understanding that aims to protect consumers and small suppliers from the market power of large sellers and buyers, maintain the openness of markets, and disperse economic and political power.”).

[122] See Khan & Vaheesan, id. at 236-37 (“Antitrust laws historically sought to protect consumers and small suppliers from noncompetitive pricing, preserve open markets to all comers, and disperse economic and political power. The Reagan administration—with no input from Congress—rewrote antitrust to focus on the concept of neoclassical economic efficiency.”); id. at 294 (“It is important to trace contemporary antitrust enforcement and the philosophy underpinning it to the Chicago School intellectual revolution of the 1970s and 1980s, codified into policy by President Reagan. By collapsing a multitude of goals into the pursuit of narrow ‘economic efficiency,’ both scholars and practitioners ushered in standards and analyses that have heavily tilted the field in favor of defendants.”).

[123] See, e.g., Nicolas Petit, Understanding Market Power, Robert Schuman Centre for Advanced Studies Working Paper No. RSC 14 (2022) at 1 (“Antitrust laws are concerned with undue market power. In an economic conception of the law, antitrust rules of liability strike down anticompetitive business conduct or mergers that represent illegitimate market power strategies.”).

[124] On inefficient and efficient market exit, see Dirk Auer & Lazar Radic, The Growing Legacy of Intel, 14 J. Comp. L. & Prac. 15 (2023).

[125] According to some, the interpretation of market power as synonymous with size and concentration is the European reading of the concept. See Petit, supra note 123, at 1 (“When European antitrust lawyers think about market power, they do not direct their attention to consumer prices. They think about corporate size and industrial concentration, see giant American firms, and deduce that they have a domestic market power problem.”).

[126] See, e.g., Or Brook, Non-Competition Interests in EU Antitrust Law: An Empirical Study of Article 101 TFEU (1st ed. 2023) (discussing the different goals and values of EU competition law throughout the years); Konstantinos Stylianou & Marcos Iacovides, The Goals of EU Competition Law: A Comprehensive Empirical Investigation, 42 Legal Studies 1, 17-18 (2020) (“EU competition law is not monothematic but pursues a multitude of goals historically and today.”). In the United States, see Robert H. Bork, The Antitrust Paradox: A Policy at War with Itself, 7 (1978) (finding the collection of socio-political goals at the time to be “mutually incompatible”); Joshua D. Wright & Douglas H. Ginsburg, The Goals of Antitrust: Welfare Trumps Choice, 81 Fordham L. Rev. 2405, 2405 (2013) (“The Court interpreted the Sherman and Clayton Acts to reflect a hodgepodge of social and political goals….”); Thomas A. Lambert & Tate Cooper, Neo-Brandeisianism’s Democracy Paradox, 49 J. Corp. L. 18 (2023) (“In the mid-Twentieth Century, U.S. courts embraced the sort of multi-goaled deconcentration agenda Neo-Brandeisians advocate.”); Joshua D. Wright, Elyse Dorsey, Jonathan Klick, & Jan M. Rybnicek, Requiem for a Paradox: The Dubious Rise and Inevitable Fall of Hipster Antitrust, 51 Ariz. St. L.J. 293, 300-01 (2019) (discussing multi-goaled approach of mid-20th-century antitrust).

[127] See, e.g., Ioannis Lianos, Polycentric Competition Law, 71 Current Leg. Probs. 161 (2019); Maurice E. Stucke, Reconsidering Antitrust’s Goals, 53 B.C.L. Rev. 551, 551 (2012) (“The quest for a single economic goal has failed…. This article proposes how to integrate antitrust’s multiple policy objectives into the legal framework.”); The Consumer Welfare Standard in Antitrust: Outdated or a Harbor in a Sea of Doubt?: Hearing Before the Subcomm. on Antitrust, Competition and Consumer Rights of the S. Comm. on the Judiciary, 115th Cong. (2017) (statement of Barry Lynn) (arguing for the return to a “political antitrust”); Dina I. Walked, Antitrust as Public Interest Law: Redistribution, Equity, and Social Justice, 65 Antitrust Bull. 87, 87 (2020) (“Once we frame antitrust as public interest law, in its broadest sense, we are empowered to use it to address inequality.”); Saksham Malik, Social Justice as a Goal of Competition Policy, Kluwer Competition Law Blog (Feb. 23, 2024), https://competitionlawblog.kluwercompetitionlaw.com/2024/02/23/social-justice-as-a-goal-of-competition-policy.

[128] It is no coincidence that critics of the “status quo” consistently attempt to cast economic analysis and (certain) antitrust case law as a mistake brought about by judges adhering to the ideology of “neoliberalism,” rather than as the result of organic, piecemeal progression. See, e.g., Khan & Vaheesan, supra note 120.

[129] Margrethe Vestager, Keynote of EVP Vestager at the European Competition Law Tuesdays: A Principles Based Approach to Competition Policy (Oct. 25, 2022), https://ec.europa.eu/commission/presscorner/detail/en/SPEECH_22_6393. See also Ohlhausen & Taladay, supra note 97, at 465.

[130] See DMA, supra note 1, at 6(5) (“The gatekeeper shall not treat more favourably, in ranking and related indexing and crawling, services and products offered by the gatekeeper itself than similar services or products of a third party. The gatekeeper shall apply transparent, fair and non-discriminatory conditions to such ranking.”).

[131] See Press Release, Antitrust: Commission Accepts Commitments by Amazon Barring It from Using Marketplace Seller Data and Ensuring Equal Access to Buy Box and Prime, European Commission (Dec. 20, 2022), https://ec.europa.eu/commission/presscorner/detail/en/ip_22_7777.

[132] See Lazar Radic, Apple Fined at the 11th Hour Before DMA Enters into Force, Truth on the Market (Mar. 5, 2024), https://truthonthemarket.com/2024/03/05/apple-fined-at-the-11th-hour-before-the-dma-enters-into-force/.

[133] Giuseppe Colangelo (@GiuColangelo), Twitter (Oct. 5, 2023, 2:37 PM), https://x.com/GiuColangelo/status/1709910565496172793?s=20.

[134] See Digital Platform Service Inquiry Firth Interim Report, supra note 31, at 14 (emphasis added).

[135] See CDC Report, supra note 55.

[136] Antitrust, Regulation, and the Next World Order conference, supra note 75.

[137] See Herbert Hovenkamp, The Slogans and Goals of Antitrust Law, 25 N.Y.U. J. Legis. & Pub. Pol’y 705, 715 (2023) (discussing the rhetorical appeal of the anti-bigness narrative but concluding that “the immense popularity of the ‘anti-bigness’ rhetoric aside, one is hard pressed to find a single antitrust decision that broke up or even disciplined a large firm simply because it was too big”). See also id. at 744 (“The concerns about large absolute size show up in the hostility directed against large internet platforms”).

[138] See supra, Section II.

[139] See supra, Section I.

[140] See, e.g., DMA, supra note 1, at Recital 4 (identifying “unfair practices” as resulting from “serious imbalances in bargaining power”).

[141] Ex Ante Regulation in Digital Markets – Background Note, DAF/COMP (2021) 15, 16, OECD (Dec. 1, 2021) (“Framing regulations in terms of fairness may therefore also refer to redistribution, better treatment of users, or a host of other goals”). See also id. at 19.

[142] Pablo Ibáñez Colomo, The Draft Digital Markets Act: A Legal and Institutional Analysis, 12 J. Comp. L. & Prac. 561, 562 (2021). See also id. at 565 (“The driver of many disputes that may superficially be seen as relating to leveraging can be more rationalised, more convincingly, as attempts to re-allocate rents away from vertically-integrated incumbents to rivals.”).

[143] Fiona Scott Morton & Cristina Caffarra, The European Commission Digital Markets Act: A Translation, VoxEU (Jan. 5, 2021), https://cepr.org/voxeu/columns/european-commission-digital-markets-act-translation (emphasis added). We contest the assertion that the DMA and other digital competition regulations aim to create competition, rather than merely aid competitors. See supra, Section III.

[144] On the relationship between rent seeking and ex-ante regulation, see generally Thom Lambert, Rent-Seeking and Public Choice in Digital Markets, in The Global Antitrust Institute Report on the Digital Economy (Joshua D. Wright & Douglas H. Ginsburg, eds., Nov. 11, 2020), https://gaidigitalreport.com/2020/08/25/rent-seeking-and-public-choice-in-digital-markets.

[145] See, e.g., Making the Digital Market Easier to Use: The Act on Improving Transparency and Fairness of Digital Platforms (TFDPA), Japanese Ministry of Economy, Trade, and Industry (Apr. 23, 2021), https://www.meti.go.jp/english/mobile/2021/20210423001en.html. The Ministry of Economy, Trade, and Industry (METI) specifically links the TFDPA to benefits for SMEs. In its press release introducing the TFDPA, METI starts by listing the benefits of digital platforms for SMEs, freelancers, and start-ups, later indicating that the transparency and fairness provisions contained therein are aimed at protecting them from “abusive” conduct, such as self-preferencing or unilateral fee changes. See also Ebru Gokce Dessemond, Restoring Competition in ‘‘Winner-Took-All’’ Digital Platform Markets, UNCTAD (Feb. 4, 2020), https://unctad.org/news/restoring-competition-winner-took-all-digital-platform-markets (“Competition law provisions on unfair trade practices and abuse of superior bargaining position, as found in competition laws of Japan and the Republic of Korea, would empower competition authorities in protecting the interests of smaller firms vis-à-vis big platforms.”) See SACC Report, supra note 44, at 1, 3, 6, 13 (concluding at 13 that the DMA-style remedies proposed in the report will provide benefits such as “greater visibility and opportunity for smaller South African platforms to acquire customers through Google Search,” and “providing a level playing field for small businesses selling through these platforms, including fairer pricing and opportunities for gaining visibility and customer acquisition relative to the large national businesses they compete with”).

[146] See generally infra, Section III.A. See also DMA, supra note 1, at Recital 2 (referring to “a significant degree of dependence of both business users and end users”). See also id. at Recitals 20, 43, & 75. On self-inflicted dependence, see Geoffrey A. Manne, The Real Reason Foundem Foundered, ICLE Antitrust & Consumer Protection Research Program White Paper 2018-02 (2018) at 6, available at https://laweconcenter.org/wp-content/uploads/2018/05/manne-the_real_reaon_foundem_foundered_2018-05-02-1.pdf (“A content provider that makes itself dependent upon another company for distribution (or vice versa, of course) takes a significant risk. Although it may benefit from greater access to users, it places itself at the mercy of the other—or at least faces great difficulty (and great cost) adapting to unanticipated, crucial changes in distribution over which it has no control. This is a species of what economists call the ‘asset specificity’ problem.”).

[147] For commentary on how bans on self-preferencing benefit large, but less-efficient competitors, see Lazar Radic & Geoffrey A. Manne, Amazon Italy’s Efficiency Offense, Truth on the Market (Jan. 11, 2022), https://truthonthemarket.com/2022/01/11/amazon-italys-efficiency-offense.

[148] See, e.g., Adam Kovacevich, The Digital Markets Act’s “Statler & Waldorf” Problem, Medium (Mar. 7 2024), https://medium.com/chamber-of-progress/the-digital-markets-acts-statler-waldorf-problem-2c9b6786bb55 (arguing that the companies that lobbied for the DMA are content aggregators like Yelp, Tripadvisor, and Booking.com; big app makers like Spotify, Epic Games, and Match.com; and rival search engines like Ecosia, Yandex, and DuckDuckGo).

[149] For example, in 2023, Epic Games’ revenue was roughly $5.6 billion, and it employed about 4,300 workers. See J. Clement, Gross revenue generated by Epic Games worldwide from 2018 to 2026, Statista (Dec. 8, 2023), https://www.statista.com/statistics/1234106/epic-games-annual-revenue and https://www.statista.com/statistics/1234218/epic-games-employees; J. Clement, Number of Epic Games employees worldwide from 2018 to 2026, Statista (Mar. 22, 2024). According to the OECD, an SME is a small or medium-sized enterprise that employs fewer than 250 people. See OECD, Enterprises by business size, OECD (last accessed May 18, 2024), https://data.oecd.org/entrepreneur/enterprises-by-business-size.htm#:~:text=In%20small%20and%20medium%2Dsized,More.

[150] Mathieu Pollet, France to Prioritise Digital Regulation, Tech Sovereignty During EU Council Presidency, EurActiv (Dec. 14, 2021), https://www.euractiv.com/section/digital/news/france-to-prioritise-digital-regulation-tech-sovereignty-during-eu-council-presidency.

[151] See, e.g., Matthias Bauer & Fredrik Erixon, Europe’s Quest for Technology Sovereignty: Opportunities and Pitfalls, ECIPE (2020), https://ecipe.org/publications/europes-technology-sovereignty; Dennis Csernatoni, et al., Digital Sovereignty: From Narrative to Policy?, EU Cyber Direct (2022), https://eucyberdirect.eu/research/digital-sovereignty-narrative-policy.

[152] See Digital Sovereignty for Europe, European Parliament (2020), available at https://www.europarl.europa.eu/RegData/etudes/BRIE/2020/651992/EPRS_BRI(2020)651992_EN.pdf. For further discussion, see Lazar Radic, Gatekeeping, the DMA, and the Future of Competition Regulation, Truth on the Market (Nov. 8, 2023), https://truthonthemarket.com/2023/11/08/gatekeeping-the-dma-and-the-future-of-competition-regulation.

[153] See Press Release, Digital Markets Act: Commission Designates Six Gatekeepers, European Commission (Sep. 6, 2023), https://ec.europa.eu/commission/presscorner/detail/en/ip_23_4328.

[154] See, e.g., Meredith Broadbent, Implications of the Digital Markets Act for Transatlantic Cooperation, CSIS 2 (2021), https://csis-website-prod.s3.amazonaws.com/s3fs-public/publication/210915_Broadbent_Implications_DMA.pdf?VersionId=xiVAF5jjSEdwakIvtNE3v2dSWlVdIUTG (pointing out that Andreas Schwab, the rapporteur assigned by the European Parliament to the DMA, had repeatedly called for the need to limit the scope of the DMA to non-European firms, and noting that ultimately “the Schwab report, released in June [2021], narrowed the initial scope of the DMA and increased the size thresholds, meaning the DMA would not apply to non-U.S. companies like the European-headquartered Booking.com”).

[155] We give some examples below, but see SACC Report, supra note 44, at 3 (discussing the remedies Google must implement to address the distortion by which small and new platforms struggle for visibility and customers). As the SACC Report notes, the “distortion” in question is apparently the lack of sufficiently equitable outcomes: “The Inquiry finds that the Google Search dominance and business model distorts platform competition as small and new platforms struggle for visibility and customer acquisition. To address this distortion, the remedial actions have focused on improving paid and organic result visibility for smaller SA platforms.” Id.

[156] See id. at 2.

[157] See id. at 1,3,6, 13. See also notes 145 and 155 and accompanying text. On HDP-owned SMEs, specifically, see supra note 44, at 1, 5, 8 (stating at 1 that the goals of the DCR are aligned with those of the South African Competition Act, including achieving greater participation in the economy by SMEs and HDPs). Indeed, the SACC Report is suffused with measures requiring gatekeepers to bolster HDPs. Some examples are given below, but see id. at 5 (requiring Takealot to implement an “HDP Programme” that would include rebates, personalized onboarding, subscription fee waivers for the first three months, and advertising credit”).

[158] Note the particularly telling quirk that the “unfairness” here stems from having the resources to invest in search-engine optimization.

[159] SACC Report, supra note 44, at 3.

[160] Id.

[161] Id. at 10.

[162] Id. at 3 and 6. In the full-length version of the report, the DMA is mentioned even more. See Online Intermediation Platforms Market Inquiry, Final Report and Decision, South African Competition Commission 6, 9, 23, 32 & 67 (2023).

[163] Even the DMA’s supporters accept that the regulation is not grounded in economics. See, e.g., Cristina Caffarra, Europe’s Tech Regulation is Not Economic Policy, Project Syndicate (Oct. 11, 2023), https://www.project-syndicate.org/commentary/european-union-digital-markets-act-will-not-tame-big-tech-by-cristina-caffarra-2023-10?barrier=accesspaylog.

[164] Press Release, Apple Announces Changes to iOS, Safari, and the App Store in the European Union, Apple Inc., (Jan. 25, 2024), https://www.apple.com/newsroom/2024/01/apple-announces-changes-to-ios-safari-and-the-app-store-in-the-european-union.

[165] See, e.g., Andy Yen, Apple’s DMA Compliance Plan Is a Trap and a Slap in the Face for the European Commission, Proton (2024), https://proton.me/blog/apple-dma-compliance-plan-trap; Press Release, Apple’s Proposed Changes Reject the Goals of the DMA, Spotify (Jan. 26, 2024), https://newsroom.spotify.com/2024-01-26/apples-proposed-changes-reject-the-goals-of-the-dma; Morgan Meaker, Apple Isn’t Ready to Release Its Grip on the App Store, Wired (Jan. 26, 2024), https://www.wired.com/story/apple-app-store-sideloading-europe-dma.

[166] See, supra note 148 (discussing who lobbied for the DMA).

[167] Dirk Auer, Matthew Lesh, & Lazar Radic, Digital Overload: How the Digital Markets, Competition and Consumers Bill’s Sweeping New Powers Threaten Britain’s Economy, IEA Perspectives 24,25 (Sep. 18, 2023) https://iea.org.uk/publications/digital-overload-how-the-digital-markets-competition-and-consumers-bills-sweeping-new-powers-threaten-britains-economy. See also DMCC, supra note 19, at Secs. 38-45.

[168] Id. at 25.

[169] Id. at Sec. 38 (referring to transactions between a firm with SMS and a third party). The term is not defined as having a legal meaning different from the obvious, literal one. Namely, that “a” third party means any third party engaged in a transaction involving one or several of the digital activities falling under the DMCC’s scope).

[170] Auer, Lesh & Radic, supra note 167, at 24-25. As the authors note, “[t]his would be entirely unprecedented as there is, to our knowledge, no similar power available to any other competition regulator anywhere else in the world.” Id. at 25.

[171] It is becoming clearer and clearer that the test for compliance with the DMA’s rules will be whether competitors and complementors enjoy an increase in market shares. See, e.g., Foo Yun Chee & Martin Coulter, EU’s Digital Markets Act hands boost to Big Tech’s smaller rivals, Reuters (Mar. 11, 2024), https://www.reuters.com/technology/eus-digital-markets-act-hands-boost-big-techs-smaller-rivals-2024-03-08/. The public policy chief of Ecosia, one of Google’s competitors in search, had this to say about the implementation of the DMA: “The implementation of these new rules is a step in the right direction, but the proof of the pudding is always in the eating, and whether we see any meaningful changes in market share.” Id. (emphasis added).

[172] Robert Pitofsky, The Political Content of Antitrust, 127 U. Penn. L. Rev. 1051, 1059 (1979). See, also, e.g., Judgment of 6 September 2016, Intel v. Commission, Case C?413/14 P, EU:C:2017:632, para. 134 (“Thus, not every exclusionary effect is necessarily detrimental to competition. Competition on the merits may, by definition, lead to the departure from the market or the marginalisation of competitors that are less attractive to consumers from the point of view of, among other things, price, choice, quality or innovation”) (emphasis added).

[173] See Alfonso Lamadrid & Pablo Ibáñez Colomo, The DMA—Procedural Afterthoughts, Chillin’ Competition (Sep. 5, 2022), https://chillingcompetition.com/2022/09/05/the-dma-procedural-afterthoughts (“Unlike competition law, the DMA is not so much about protecting consumers, but competitors/third parties.”); Chee & Coulter, supra note 171 (“As the world’s biggest tech companies revamp their core online services to comply with the European Union’s landmark Digital Markets Act, the changes could give some smaller rivals and even peers a competitive edge.”).

[174] See, e.g., Auer & Radic, supra note 124.

[175] See generally supra, Section II. See also, e.g., OECD, Competition on the Merits, DAF/COMP(2005)27, 9 (2005), available at https://www.oecd.org/competition/abuse/35911017.pdf (“It is widely agreed that the purpose of competition policy is to protect competition, not competitors”). See also Brown Shoe Co. v. United States, 370 U.S. at 344 (“It is competition, not competitors, which the [Sherman] Act protects.”).

[176] Ohlhausen & Taladay, supra note 97, at 465.

[177] DMA, supra note 1, at, e.g., recitals 8, 11, 97, 105, and especially 107 (stating that the objective of the DMA is to “ensure a contestable and fair digital sector in general and core platform services in particular”).

[178] See generally William J. Baumol, Contestable Markets: An Uprising in the Theory of Industry Structure, 72 Am. Econ. Rev. 1 (1982); William J. Baumol, John Panzar & Robert D. Willig, Contestable Markets and the Theory of Industry Structure (revised ed. 1988).

[179] See, e.g., Fiona Scott Morton & Cristina Caffarra, The European Commission Digital Markets Act: A Translation, VoxEU (Jan. 5, 2021), https://cepr.org/voxeu/columns/european-commission-digital-markets-act-translation (“The EC law is designed to operate much more strongly on the dimension of barriers to entry and to competition in the expectation that, if entry barriers are lowered, more competition can create a competitive price or quality.”).

[180] Marius Schwartz, The Nature and Scope of Contestability Theory, 38 Oxford Econ. Papers (New Series), Supplement: Strategic Behaviour and Industrial Competition 37, 38 (1986).

[181] See William A. Brock, Contestable Markets and the Theory of Industry Structure: A Review Article, 91 J. Pol. Econ. 1055, 1059-62 (1983) (“But nowhere in the book is a game precisely defined as modern theory expects. That is not easy, but until it is done contestability theory must be used with caution. Unpalatable hidden assumptions may be necessary to obtain Baumol et al.’s conclusions.”).

[182] Id. at 1064.

[183] Don Coursey, R. Mark Isaac and Vernon L. Smith, Natural Monopoly and Contested Markets: Some Experimental Results, 27 J. L. & Econ. 91, 109 (1984) (“Qualitatively it can be seen that the mean duopoly price is more competitive than the mean monopoly price in eighteen out of eighteen periods; mean duopoly quantity is greater in eighteen of eighteen periods, and mean duopoly efficiency is greater in eighteen of eighteen of eighteen periods.”).

[184] See id. at 38-39 (noting that “the basic idea that threat of entry may constrain pricing in concentrated industries has long been recognized” and discussing its role in the history of competition economics).

[185] See generally Neil Komesar, Imperfect Alternatives: Choosing Institutions in Law, Economics, and Public Policy (1994).

[186] See, e.g., Questions and Answers, Digital Markets Act: Ensuring Fair and Open Digital Markets, European Commission (Sep. 6, 2023), https://ec.europa.eu/commission/presscorner/detail/en/qanda_20_2349 (“[Gatekeepers] will therefore have to proactively implement certain behaviours that make the markets more open and contestable.”).

[187] See e.g., Unlocking Digital Competition: Report of the Digital Competition Expert Panel (Mar. 2019) at 4, available at https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/785547/unlocking_digital_competition_furman_review_web.pdf (arguing that network effects and returns to scale of data are entrenched and that “competition for the market cannot be counted on, by itself, to solve the problems associated with market tipping and ‘winner-takes-most’”) (hereinafter “Furman Report”). See also id. at 32-41 (discussing the purported causes of concentration in digital markets, including data-driven network effects and economies of scale). This report was the roadmap for the UK’s DMCC. See id. at 4.

[188] For background see Maurice E. Stucke, Behavioral Antitrust and Monopolization, 8 J. Comp. L. & Econ. 545, 567 (2012) (arguing that behavioral economics can explain how firms maintain monopoly power through “lock-in” strategies and by exploiting consumers’ biases). See also, more specifically, Luís Cabral, Justus Haucap, Geoffrey Parker, Georgios Petropoulos, Tommaso Valletti, & Marshall Van Alstyne, The EU Digital Markets Act: A. Report from a Panel of Economic Experts, Publications Office of the European Union 6 (2021), available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3783436 (“The combination of economies of scale and scope, network effects, zero pricing, consumer behavioural biases, create new market dynamics with sudden radical decreases in competition (‘tipping’) and concentration of economic power around a few ‘winner-takes-it-all/most’ online platforms…. We (the Panel) agree with the consensus that has emerged over the last years that existing ex-post competition and regulatory tools are insufficient to address the challenges of digital platforms.”); id. at 3 and 17 (arguing that high app store fees are the result of customer and supplier lock-in), and 18 (“Online aftermarket sales are subject to behavioural biases in in-app advertising and to lock-in effects in apps that exhibit social network effects.”).

[189] Furman Report, supra note 187, at 4, 8, & 35.

[190] See id. at 4. Note, however, that the Furman Report advised against a “radical shift” from the established basis of competition law, including the use of the consumer welfare standard. But see Cabral, et al., supra note 188, at 5 (“the Panel endorses the vision encapsulated in the DMA, including the designation of large gatekeeper platforms and a series of ex-ante obligations they should comply with.”).

[191] See, e.g., Jan Krämer & Daniel Schnurr, Big Data and Digital Markets Contestability: Theory of Harm and Data Access Remedies, 18 J. Comp. L. & Econ. 255 (2021).

[192] See infra, Section III.D for further discussion of this point.

[193] See Arthur, supra note 102, at 106.

[194] See German Competition Act, supra note 73, at Art. 19a(4) (which prohibits “creating or appreciably raising barriers to market entry or otherwise impeding other undertakings by processing data relevant for competition that have been collected by the undertaking”), 19a(4)(a) (which prohibits “making the use of services conditional on the user agreeing to the processing of data from other services of the undertaking or a third-party provider without giving the user sufficient choice as to whether, how and for what purpose such data are processed”), and 19a(4)(b) (which prohibits “processing data relevant for competition received from other undertakings for purposes other than those necessary for the provision of its own services to these undertakings without giving these undertakings sufficient choice as to whether, how and for what purpose such data are processed”). Certain terms, such as “sufficient choice,” could imply a moving target that is difficult to comply with. See, similarly, German Competition Act, id. at Art. 19a(7)(a) (which prohibits “demanding the transfer of data or rights that are not absolutely necessary for the purpose of presenting these offers”)(emphasis added); 19(a)(7)(b) (which prohibits “making the quality in which these offers are presented conditional on the transfer of data or rights which are not reasonably required for this purpose”)(emphasis added); and Art. 19a(5) (prohibiting gatekeepers from refusing the interoperability of products or services or data portability, or making it more difficult). See also DMA, supra note 1 at 6(2) (prohibiting gatekeepers from using, “in competition with business users, any data that is not publicly available that is generated or provided by those business users in the context of their use of the relevant core platform services”) and 6(9) (requiring that gatekeepers “provide end users and third parties authorised by an end user, at their request and free of charge, with effective portability of data provided by the end user or generated through the activity of the end user in the context of the use of the relevant core platform service, including by providing, free of charge, tools to facilitate the effective exercise of such data portability, and including by the provision of continuous and real-time access to such data.”).

[195] See, e.g., Mikolaj Barczentewicz, Privacy and Security Risks of Interoperability and Sideloading Mandates, Truth on the Market (Jan. 26, 2022), https://truthonthemarket.com/2022/01/26/privacy-and-security-risks-of-interoperability-and-sideloading-mandates/; Mikolaj Barczentewicz, Privacy and Security Implications of Regulation of Digital Services in the EU and in the US, TTLF Working Papers No. 84, Stanford-Vienna Transatlantic Technology Law Forum (2022), available at https://law.stanford.edu/wp-content/uploads/2022/01/TTLF-WP-84_Barczentewicz.pdf.

[196] Furman Report, supra note 187, at 74 (emphasis added).

[197] See, e.g., id. at 37 (“Switching and multi-homing by users of platforms can be the antidote to strong network effects, but in many digital markets a combination of the above restrictions means that these competitive dynamics are limited.”).

[198] Margrethe Vestager, Competition Commissioner, European Commission, Speech at the OECD/G7 Conference: Competition and the Digital Economy (Jun. 3, 2019), https://ec.europa.eu/commission/commissioners/2014-2019/vestager/announcements/competition-and-digital-economy_en.

[199] Geoffrey A. Manne & Sam Bowman, Data Portability and Interoperability: The Promise and Perils of Data Portability Mandates as a Competition Tool, ICLE Issue Brief (Sep. 10, 2020) at 9, available at https://laweconcenter.org/wp-content/uploads/2020/09/Data-Portability-Paper-v4-2020-09-03.pdf.

[200] See Jean-Pierre Dubé, Günter J. Hitsch, & Peter E. Rossi, Do Switching Costs Make Markets Less Competitive?, 46 J. Marketing Rsrch. 435, 435 (2009) (“In the simulations, prices are as much as 18% lower with than without switching costs. More important, equilibrium prices do not increase even in the presence of switching costs that are of the same order of magnitude as product price.”).

[201] See, e.g., Sam Bowman, Mandatory Interoperability Is Not a ‘Super Tool’ for Platform Competition, Truth on the Market (November 29, 2021), https://truthonthemarket.com/2021/11/29/mandatory-interoperability-is-not-a-super-tool-for-platform-competition/ (“None of this is to say that interoperability mandates can never work, but their benefits can be oversold, especially when their costs are ignored.”).

[202] See Dube, et al., supra note 200, at 435.

[203] On self-preferencing in the context of antitrust, see Radic & Manne, supra note 147.

[204] See, e.g., Vestager, supra note 198 (quoted in Kyriakos Fountoukakos & Samuel Hall, Competition Issues in the Digital Era Eu Developments, CPI Antitrust Chron. (Aug. 2019) at 7, available at https://www.competitionpolicyinternational.com/wp-content/uploads/2019/08/CPI-Fountoukakos-Hall.pdf) (“One of the biggest issues we face is with platform businesses that also compete with companies that depend on the platform… competing with others that rely on the platform but also setting the rules that govern that competition. It’s easy to see how this sort of double role can bring a risk of conflict of interest; a risk that the operator of a platform will be tempted to tweak the rules and features of the platform to benefit its own services.”).

[205] See Geoffrey A. Manne, Against the vertical discrimination presumption, Concurrences No. 2-2020 at 1 (2020). See also Jonathan M. Barnett, The Host’s Dilemma: Strategic Forfeiture in Platform Markets for Informational Goods, 124 Harv. L. Rev. 1861 (2011); Andrei Hagiu & Kevin Boudreau, Platform Rules: Multi-Sided Platforms as Regulators, in Platforms, Markets and Innovation (Annabelle Gawer, ed. 2009)

[206] Joshua D. Wright, Defining and Measuring Search Bias: Some Preliminary Evidence, ICLE Antitrust & Consumer Protection White Paper 2011-01 (Nov. 3, 2011) at 5, available at https://laweconcenter.org/resource/defining-and-measuring-search-bias-some-preliminary-evidence/.

[207] See Manne, supra note 205, at 1-2 (citing examples from the literature showing that complementors and consumers alike often benefit from platform self-preferencing). See also Sam Bowman & Geoffrey A. Manne, Platform Self-Preferencing Can be Good for Consumers and Even Competitors, Truth on the Market (Mar. 4, 2021), https://laweconcenter.wpengine.com/2021/03/04/platform-self-preferencing-can-be-good-for-consumers-and-even-competitors.

[208] See Manne, The Real Reason Foundem Foundered, supra note 146, at 6-11.

[209] On the role of these concepts in antitrust law, see supra, Section II. On data portability and free riding, see Sam Bowman, Data Portability: The Costs of Imposed Openness, Int’l. Ctr. for Law & Econ. (2020), available at https://laweconcenter.org/wp-content/uploads/2020/09/ICLE-tldr-Data-Portability.pdf.

[210] On the economic theory of contestability, see generally Baumol, supra note 178; Baumol, Panzar & Willig, supra note 178.

[211] DMCC, supra note 19, at Secs. 24 & 48.

[212] See ACCESS Act, supra note 42, at § 4(e).

[213] Id. at § 7.

[214] Id. at § 7(b)(4).

[215] Id. at § 4(e)(1).

[216] See Kovacevich, supra note 148 (“[T]he Digital Markets Act directs Big Tech companies to redesign their products to give their rivals more opportunity—in the form of alternative app stores, guaranteed links and visibility in search results, and mandatory de-linking of integrated services. But early indications are that the complainant companies won’t be satisfied with more opportunity. They are already complaining that DMA will be a failure unless it can create the equal outcomes that they desire.”) (emphasis in original).

[217] See Remarks by Executive-Vice President Vestager and Commissioner Breton on the Opening of Non-Compliance Investigations under the Digital Markets Act, European Commission (Mar. 25 2024), https://ec.europa.eu/commission/presscorner/detail/es/speech_24_1702 (“Stakeholders provided feedback on the compliance solutions offered. Their feedback tells us that certain compliance measures fail to achieve their objectives and fall short of expectations.”).

[218] See Kovacevich, supra note 148 (collecting examples).

[219] The terms “leveling down” and “leveling up” are, to our knowledge, not normally deployed in the fields of antitrust law and Digital Competition Regulation. They are, however, used frequently in areas of constitutional law, such as equality and free speech. In the context of equality law, see generally Deborah L. Brake, When Equality Leaves Everyone Worse Off: The Problem of Levelling Down in Equality Law, 46 Wm. & Mary L. Rev. 513 (2004) (citing examples such as achieving equality between men and women by leveling down men’s opportunities until they reach parity with women’s, or leveling down public spending in wealthier school districts to reach equality with poorer districts).

[220] Kadir Bas & Kerem Cem Senli, E-Ticaret Kanunu De?i?iklikleri: Rekabeti Koruyor Mu Yoksa Engelliyor Mu? [Amendments to E-Commerce Directive: Protecting or Preventing Competition?] 30 Marmara Üniversitesi Hukuk Fakültesi Hukuk Ara?t?rmalar? Dergisi 250 (2024).

[221] Id. at 255.

[222] Id. at 260. The Turkish law also imposes significant constraints on gatekeepers’ advertising budgets in another effort to level down incumbents. See id. at 271 (“Another example of atypical regulations envisaged in the E-Commerce Law is the limitations imposed on the advertising and discount budgets of large-scale ECISPs.”).

[223] See SACC Report, supra note 44.

[224] See, e.g., DMA, supra note 1, at Art. 6(7) (establishing a duty to provide interoperability with the gatekeepers’ services, free of charge). See also DMA, id., at Arts. 5(4), 5(10), 6(8), 6(9), & 7(1).

[225] See infra, Section III.D. See also Verband Deutscher Wetterdienstleister v. Google, supra note 96, at 3.

[226] See Issue Spotlight: Self-Preferencing, Int’l. Ctr. for Law & Econ. (last updated Nov. 10, 2022), https://laweconcenter.org/spotlights/self-preferencing.

[227] See, e.g., Geoffrey A. Manne & Joshua D. Wright, If Search Neutrality Is the Answer, What’s the Question?, 2012 Colum. Bus. L. Rev. 151, 197 (“By offering a link not only to McDonalds’ website, but also to a map showing the locations of the nearest restaurants, Google is offering up results in different forms and hoping that one will satisfy the user’s preferences. In this setting, there is no economic justification for requiring a search engine to offer another site’s rather than its own simply because there happen to be other sites that do, indeed, offer such content (and would like cheaper access to consumers). Meanwhile, the implication that this requirement exists essentially because Google has not always offered results in this form (it is now ‘leveraging its dominance into ancillary markets’ rather than ‘offering the same product it always has, only in a more advanced format’) is an affront to the dynamism and innovation of high-tech markets.”).

[228] Geoffrey A. Manne, Error Costs in Digital Markets, in The Global Antitrust Institute Report on the Digital Economy 33, 83 (Joshua D. Wright & Douglas H. Ginsburg eds., 2020).

[229] Verband Deutscher Wetterdienstleister v. Google, supra note 96, at 3.

[230] See generally Bowman & Manne, supra note 207.

[231] Id. at 19.

[232] DMCC, supra note 19, at Sec. 20(3)(c).

[233] Id.

[234] See Auer, Lesh, & Radic, supra note 170, at 18.

[235] See, e.g., William Baumol, The Free Market Innovation Machine 196 (2002) (“Oligopolistic competition among large, high-tech, business firms, with innovation as a prime competitive weapon, ensures continued innovative activities and, very plausibly, their growth. In this market form, in which a few giant firms dominate a particular market, innovation has replaced price as the name of the game in a number of important industries.”); Hadi Houlla & Aurelien Portuese, The Great Revealing: Taking Competition in America and Europe Seriously, ITIF Schumpeter Project on Competition Policy 23 (2023), available at https://www2.itif.org/2023-us-eu-competition.pdf (“In highly innovative industries, greater firm size and concentration lower industry-wide costs. A European study shows that larger high-tech firms could increase technological knowledge better than smaller ones… When economies of scale or network effects are large, firms must be sufficiently large to be efficient.”); Joseph A. Schumpeter, Capitalism, Socialism, and Democracy, 100-1 (1942) (“There cannot be any reasonable doubt that under the conditions of our epoch such [technological] superiority is as a matter of fact the outstanding feature of the typical large-scale unit of control.”).

[236] Two-sided markets connect distinct sets of users whose demands for the platform are interdependent—i.e., consumers’ demand for a platform increases as more products are available and, conversely, sellers’ demand for a platform increases as additional consumers use the platform, increasing the overall potential for transactions. These network effects can be direct (more consumers on one side attract more consumers on the same side), or indirect (more consumers on one side attract more consumers on the other side). See, e.g., Bruno Jullien, Alessandro Pavan, & Marc Rysman, Two-Sided Markets, Pricing and Network Effects, 4 Handbook of Industrial Organization 485, 487 (2021) (“A central aspect of platform economics is the role of network effects, which apply when a product is valued based on the extent to which other market participants adopt or use the same product.”); OECD Policy Roundtables, Two-Sided Markets 11 (Dec. 17, 2009), available at https://www.oecd.org/daf/competition/44445730.pdf.

[237] See, e.g., DMA, supra note 1, at Art. 14 (establishing a duty to report mergers that would ordinarily fall under the relevant EU merger-control rules threshold); Art. 18(2) (empowering the Commission to prohibit gatekeepers from entering into future concentrations concerning core platform services or any digital products or services, in cases where gatekeepers have engaged in “systematic non-compliance.”); DMCC, supra note 19, at Sec. 55 (mandating companies with SMS to notify certain mergers, even though the UK does not have a compulsory notification regime).

[238] See, e.g., Dirk Auer & Geoffrey A. Manne, Apple v Epic: The Value of Closed Systems, Int’l. Ctr. L. & Econ. (Apr. 20, 2021), available at https://laweconcenter.org/wp-content/uploads/2021/04/tldr-Apple-v-Epic.pdf.

[239] This argument was accepted in the context of in-app payment systems by the U.S. District Court in Epic Games, Inc. v. Apple, Inc., 67 F.4th 946, 971 (9th Cir. 2023) (“The district court credited Apple’s rationale that its restrictions seek to enhance consumer appeal and differentiate Apple products by improving iOS security and privacy.”). On the security and privacy risks posed by sideloading and interoperability, see, for example, Barczentewicz, Privacy and Security Implications of Regulation of Digital Services, supra note 195; Bjorn Lundqvist, Injecting Security into European Tech Policy, CEPA Report (2023), https://cepa.org/comprehensive-reports/reining-in-the-gatekeepers-and-opening-the-door-to-security-risks.

[240] “Open” and “closed” platforms are not synonymous with “good” and “bad” platforms. These are legitimate differences in product design and business philosophy, and neither is inherently more restrictive than the other. See, e.g., Andrei Hagiu, Proprietary vs. Open Two-Sided Platforms and Social Efficiency, Harvard Business School Strategy Unit Working Paper No. 09-113 (2007) at 2-3 (explaining that there is a “fundamental welfare tradeoff between two-sided proprietary… platforms and two-sided open platforms, which allow ‘free entry’ on both sides of the market” and thus “it is by no means obvious which type of platform will create higher product variety, consumer adoption and total social welfare”). See also Barnett, The Host’s Dilemma, supra note 205, at 1927.

[241] See, e.g., Bus. Elecs. Corp. v. Sharp Elecs. Corp., 485 U.S. 717, 748–49 (1988) (Stevens, J., dissenting) (“A demonstrable benefit to interbrand competition will outweigh the harm to intrabrand competition that is caused by the imposition of vertical nonprice restrictions on dealers.”); Leegin Creative Leather Products, Inc. v. PSKS, Inc., 551 U.S. 877 (2007) (“For, as has been indicated already, the antitrust laws are designed primarily to protect interbrand competition, from which lower prices can later result.”).

[242] For a tongue-in-cheek remark, see Herbert Hovenkamp (@Sherman1890), Twitter (Jan. 15, 2024, 7:22 AM), https://x.com/Sherman1890/status/1746870481393762534?s=20 (“yet antitrust policy pursues big tech as if they were crack houses.”). See also Robert Armstrong and Ethan Wu, What Big Tech Antitrust Gets Wrong, An Interview with Herbert Hovenkamp, Financial Times (Jan. 19, 2024), https://www.ft.com/content/4eec8bc3-c892-4704-ae66-a4432c6d4fd7 (“With Big Tech, we’re looking at probably the most productive part of the economy. The rate of innovation is high. They spend a lot of money on R&D. They are among the largest patent holders. There’s very little evidence of collusion. They seem to be competing with each other quite strongly. They pay their workers relatively well and have fairly educated workforces. None of this is a sign that these are industries we should be pursuing. That doesn’t mean they don’t do some anti-competitive things. But the whole idea that we should be targeting Big Tech strikes me as fundamentally wrong-headed.”). It should be noted that the comment was made in the context of antitrust law. However, the general sentiment about the unique hostility of certain regulators and legislatures towards certain tech companies could be extrapolated, mutatis mutandis, to digital competition regulation, especially considering its competition-oriented elements See supra, Section II.

[243] See supra, Section II.A. See also generally Auer & Manne, Antitrust Dystopia and Antitrust Nostalgia, supra note 102.

[244] See, e.g., Oles Andriychuk, Do DMA Obligations for Gatekeepers Create Entitlements for Business Users?, 11 J. Antitrust Enforcement. 123, 127 (2022) (“The means for allowing the second-tier ersatz-Big Tech to scale up is punitive: to slow down the current gatekeepers by imposing upon them a catalogue of exceptionally demanding obligations.”) (emphasis added); id. at 131 (“This punitive nature of the DMA also means that the obligations can be blatantly arduous and interventionist.”) (emphasis added).

[245] See supra, Section III.A.

[246] See DMA, supra note 1, at Art. 7(9). There is also a limited exemption in which the gatekeeper can show that, due to exceptional circumstances beyond its control, complying with the obligations of the DMA would endanger the economic viability of its operation in the EU. See DMA, id. at Art. 9(1).

[247] See id. at Art. 7(9) (permitting such a defense only when “such measures are strictly necessary and proportionate and are duly justified by the gatekeeper”) (emphasis added).

[248] See Graf, et al. supra note 112, at 59.

[249] See SACC Report, supra note 44.

[250] Digital Platform Services Inquiry, Interim Report 5, supra note 31, at 14.

[251] Id. at § 7.2.4.

[252] For example, the ACCC has said that “[t]he drafting of obligations should consider any justifiable reasons for the conduct (such as necessary and proportionate privacy or security justifications). Id. at 123 (emphasis added).

[253] See PL 2768, supra note 45, at Art. 11.

[254] As discussed in Section I, supra, PL 2768 pursues a multiplicity of goals, and there is no telling how much weight (if any) would be afforded to consumer protection under Art. 10.

[255] German Competition Act, supra note 73, at Art. 19a(7).

[256] See Jens-Uwe Franck & Martin Peitz, Section 19a of the Reformed German Competition Act: A (Too) Powerful Weapon to Tame Big Tech?, CPI Antitrust Chronicle (March 2021) at 4, available at https://www.competitionpolicyinternational.com/wp-content/uploads/2021/03/6-Section-19a-of-the-Reformed-German-Competition-Act-A-Too-Powerful-Weapon-to-Tame-Big-Tech-By-Jens-Uwe-Franck-Martin-Peitz.pdf (“Pursuant to the general rules for competition enforcement under German law, as a matter of principle, in abuse cases the competition authority is entrusted with the task of determining, measuring, and balancing pro- and anticompetitive effects and/or the efficiency losses and gains of a scrutinized practice.”).

[257] See AICOA supra note 33 at § 3. As discussed in Section II, supra, “material harm to competition” already establishes a lower (but also fundamentally different) threshold for the plaintiff than the standard typically applied in antitrust law, as it implies a showing of harm to competitors, rather than to competition.

[258] See Graf et al., supra note 112, at 76.

[259] DMCC, supra note 19, at Sec. 19(10).

[260] CMA, Digital Markets Competition Regime Guidance, CMA194con DRAFT (May 24, 2024), at Sec. 3.11, available at https://assets.publishing.service.gov.uk/media/6650a56d8f90ef31c23ebaa6/Digital_markets_competition_regime_guidance.pdf.

[261] CMA, Prioritisation Principles, CMA Corporate Report (Oct. 30, 2023), https://www.gov.uk/government/publications/cma-prioritisation-principles/cma-prioritisationprinciples (emphasis added). See also CMA, Digital Markets Competition Regime Guidance, id. at Sec. 7.23.

[262] DMCC, supra note 19, at Sec. 29(1)-(3). See also A New Pro-Competition Regime for Digital Markets: Advice of the Digital Markets Taskforce, Document CMA-135 (2020), at Sec. 4.40, available at https://assets.publishing.service.gov.uk/media/5fce7567e90e07562f98286c/Digital_Taskforce_-_Advice.pdf (“Conduct which may in some circumstances be harmful, in others may be permissible or desirable as it produces sufficient countervailing benefits.”).

[263] Id. at Sec. 29(2)(c), (d), & (e). See also Auer, Lesh, & Radic, supra note 170.

[264] CMA, Digital Markets Competition Regime Guidance, CMA194con DRAFT (May 24, 2024) at Sec. 7.64, available at https://assets.publishing.service.gov.uk/media/6650a56d8f90ef31c23ebaa6/Digital_markets_competition_regime_guidance.pdf.

[265] See id. at 7.69 (“This condition means that the CMA must be satisfied that there is no other reasonable or practical way for the firm to achieve the benefits with less anticompetitive effect.”).

[266] See, e.g., Ohio v. Am. Express Co., 138 S. Ct. 2274, 2284 (2018) (“To determine whether a restraint violates the rule of reason…, a three-step, burden-shifting framework applies. Under this framework, the plaintiff has the initial burden to prove that the challenged restraint has a substantial anticompetitive effect that harms consumers in the relevant market. If the plaintiff carries its burden, then the burden shifts to the defendant to show a procompetitive rationale for the restraint. If the defendant makes this showing, then the burden shifts back to the plaintiff to demonstrate that the procompetitive efficiencies could be reasonably achieved through less anticompetitive means.”).

[267] See CMA, Digital Markets Competition Regime Guidance, supra note 260, at Sec. 3.33 (“In all cases, the CMA expects the SMS firm and/or other relevant third parties to identify the likely effects of [conduct requirement] and provide the CMA with evidence of these.”).

[268] Id. at 7.60.

[269] Judicial review in this context allows appellants to challenge procedural aspects of a decision, but not its merits, which is, by contrast, reserved for a “full-merits review.” See, e.g., Annetje Ottow, Market and Competition Authorities: Good Agency Principles 218 (2015); Peter Cane, Judicial Review and Merits Review: Comparing Administrative Adjudication by Courts and Tribunals, in Comparative Administrative Law 426, 433-34 (Susan Rose-Ackerman & Peter Lindseth eds., 2010). As Auer, Lesh & Radic have written: “It will only be possible to challenge the decision-making on process grounds under the judicial review standard. In simple terms, courts will not assess whether the CMA was ‘right’, but whether the correct procedures were followed.” Auer, Lesh & Radic, supra note 167, at 11.

[270] Id.

[271] This is implied by the fact such an exemption arises only in Sec. 29, which concerns only the closing, not the opening, of conduct investigations. See DMCC, supra note 19, at Sec. 29. See also Auer, Lesh & Radic, id.

[272] See, e.g., Megan Gray, ‘Choice Screen’ Fever Dream: Enforcers’ New Favorite Remedy Won’t Blunt Google’s Search Monopoly, TechPolicyPress (Feb. 15, 2024), https://www.techpolicy.press/choice-screen-fever-dream-enforcers-new-favorite-remedy-wont-blunt-googles-search-monopoly/ (“These choice screens will soon surround consumers as part of a stream at setup, which will spill into an ocean of online choice popups. Notably, Google’s business initially succeeded in part because of its ‘clean’ interface, in contrast to Yahoo’s overstuffed ad platform…. [E]nforcers failed to grasp that these ‘clear and conspicuous’ disclaimers are now so pervasive that the public largely ignores them. Thus, the ultimate issue—whether consumers have actual comprehension of the information being disclaimed when encountering it in the real world—is forgotten; the enforcers lost the forest for the trees.”).

[273] There is some evidence that this has already happened with the DMA-required degradation of Google and Google Maps. See, e.g., Edith Hancock, “Severe Pain in the Butt”: EU’s Digital Competition Rules Make New Enemies on the Internet, Politico (Mar. 25 2024), https://www.politico.eu/article/european-union-digital-markets-act-google-search-malicious-compliance (“Before [the DMA], users could search for a location on Google by simply clicking on the Google Map link to expand it and navigate it easily. That feature doesn’t work in the same way in Europe anymore and users are irritated.”).

[274] See ICLE Brief for the 9th Circuit in Epic Games v. Apple, No. 21-16695 (9th Cir.), ID No. 12409936, Dkt. Entry 98 (Mar. 31, 2022) at 26, available at https://laweconcenter.org/resources/icle-brief-for-9th-circuit-for-epic-games-v-apple (“Even if an open platform led to more apps and IAP [in-app payment] options for all consumers, some consumers may be better off as a result and others may be worse off. More vigilant users may avoid downloading apps and using IAP systems that are unreliable or which impose invasive data-sharing obligations, but less vigilant users will fall prey to malware, spyware, and other harmful content invited by an open system. The upshot is, ‘a more competitive market may be better at delivering to vigilant consumers what they want, but may end up exploiting more vulnerable consumers’”). See also Mark Armstrong, Interactions Between Competition and Consumer Policy, Comp. Pol’y Int’l (2008), https://ora.ox.ac.uk/objects/uuid:ff166fcf-c3c1-4057-9cf5-10e295b66468/files/m4cc2cf988db14b5da92bb20f1f1a838b.

[275] Pitofsky, supra note 172, at 1058.

[276] See generally, Christopher Decker, Modern Economic Regulation (2014).

[277] In the context of the DMCC, see Auer, Lesh, & Radic, supra note 170.

[278] See Pinar Akman, Regulating Competition in Digital Platform Markets: A Critical Assessment of the Framework and Approach of the EU Digital Markets Act, 47 Eur. L. Rev. 85, 110 (2023) (“The description of ‘(un)fairness’ as provided for in the DMA cannot be said to improve upon the position of the concept in competition law, as it, too, relies on an assessment that is ultimately subjective and involves a value judgement.”). See also id. at n. 134 (“This is because it involves establishing what counts as an ‘imbalance of rights and obligations’ on the business users of a gatekeeper and what counts as an ‘advantage’ obtained by the gatekeeper from its business users that is ‘disproportionate’ to the service provided by the gatekeeper to its business users.”) (citing Recommendations for an Effective and Efficient Digital Markets Act, Monopolkommission [Germany] Special Report 82 (2021), https://www.monopolkommission.de/en/reports/special-reports/specialreports-on-own-initiative/372-sr-82-dma.html).

[279] On the in-app payment commission being a legitimate way to recoup investments, see ICLE Brief in Epic Games v. Apple, supra note 274.

[280] Giuseppe Colangelo, In Fairness we (Should Not) Trust. The Duplicity of the EU Competition Policy Mantra in Digital Markets, 68 Antitrust Bull. 618, 622 (2023) (“Despite its appealing features, fairness appears a subjective and vague moral concept, hence useless as a tool in decisionmaking.”).

[281] For example, Chapter III of the DMA is appropriately entitled “Practices of Gatekeepers that Limit Contestability or Are Unfair.” See DMA, supra note 1, at 33-43. The chapter sets out the list of practices that are, by definition—but not by moral precept, of course—”unfair.”

[282] See ICLE Brief in Epic Games v. Apple, supra note 274, at 18.

[283] Distributing Dating Apps in the Netherlands, Apple Developer Support, https://developer.apple.com/support/storekit-external-entitlement (last visited Mar. 10, 2024).

[284] See Press Release, Apple Announces Changes to IOS, Safari, and the App Store in the European Union, Apple Inc. (Jan. 25, 2024), https://www.apple.com/newsroom/2024/01/apple-announces-changes-to-ios-safari-and-the-app-store-in-the-european-union. (“The new business terms for iOS apps in the EU have three elements: Reduced commission — iOS apps on the App Store will pay a reduced commission of either 10 percent (for the vast majority of developers, and subscriptions following their first year) or 17 percent on transactions for digital goods and services; Payment processing fee — iOS apps on the App Store can use the App Store’s payment processing for an additional 3 percent fee. Developers can use a payment service provider within their app or link users to their website to process payments for no additional fee to Apple; Core Technology Fee — iOS apps distributed from the App Store and/or an alternative app marketplace will pay €0.50 for each first annual install per year over a 1 million threshold.”) (emphasis in original).

[285] ICLE Brief in Epic Games v. Apple, supra note 274, at 18.

[286] Adam Kovacevich has referred to this as the “Stalter and Waldorf” problem. See Kovacevich, supra note 148.

[287] See, e.g., A Letter to the European Commission on Apple’s Lack of DMA Compliance, Spotify Newsroom (Mar.1 2024) https://newsroom.spotify.com/2024-03-01/a-letter-to-the-european-commission-on-apples-lack-of-dma-compliance/.

[288] See Trinko, 540 U.S. at 407 (2003) (“The mere possession of monopoly power, and the concomitant charging of monopoly prices, is not only not unlawful; it is an important element of the free-market system […] Firms may acquire monopoly power by establishing an infrastructure that renders them uniquely suited to serve their customers […] Enforced sharing also requires antitrust courts to act as central planners, identifying the proper price, quantity, and other terms of dealing—a role for which they are ill-suited”). See also Brian Albrecht, Imposed Final Offer Arbitration: Price Regulation by Any Other Name, Truth on the Market (Dec. 7, 2022), https://truthonthemarket.com/2022/12/07/imposed-final-offer-arbitration-price-regulation-by-any-other-name.

[289] See ICLE Brief in Epic Games v. Apple, supra note 274 (“In essence, Epic is trying to recast its objection to Apple’s 30% commission for use of Apple’s optional IAP system as a harm to consumers and competition more broadly.”). On a similar trend in antitrust (but which is even more relevant in the context of DCRs, see Jonathan Barnett, Antitrustifying Contract: Thoughts on Epic Games v. Apple and Apple v. Qualcomm, Truth on the Market (Oct. 26, 2020) https://truthonthemarket.com/2020/10/26/antitrustifying-contract-thoughts-on-epic-games-v-apple-and-apple-v-qualcomm.

[290] See, e.g., Andriychuk, supra note 244.

[291] See, e.g., Ohlhausen & Taladay, supra note 96.

[292] United States v. Aluminum Co. of America, 148 F.2d 416, 430 (2d Cir. 1945).

[293] See, e.g., Ben Bernanke, Irreversibility, Uncertainty and Cyclical Investment, 98 Q. J. Econ. 85 (1983); Avinash Dixit, Entry and Exit Decisions Under Uncertainty, 97 J. Pol. Econ. 620 (1989); Robert S. Pindyck, Irreversibility, Uncertainty, and Investment, 29 J. Econ. Lit. 1110 (1991); Nicholas Bloom et al., Uncertainty and Investment Dynamics, 74 Rev. Econ. Stud. 391 (2007); Nicholas Bloom, The Impact of Uncertainty Shocks, 77 Econometrica 623 (2009).

[294] See generally Steven J. Davis, Regulatory Complexity and Policy Uncertainty: Headwinds of Our Own Making, Becker Friedman Inst. for Rsrch. in Econ. Working Paper No. 2723980 (2017), available at https://ssrn.com/abstract=2723980.

[295] Decker, supra note 276.

[296] Many companies vertically integrate to have the ability to preference their own downstream or upstream products or services. See generally Eric Fruits, Geoffrey A. Manne, & Kristian Stout, The Fatal Economic Flaws of the Contemporary Campaign Against Vertical Integration, 68 Kan. L. Rev. 5 (2020), https://kuscholarworks.ku.edu/handle/1808/30526; Sam Bowman & Geoffrey Manne, Self-Preferencing: Building an Ecosystem, Int’l. Ctr. for Law & Econ. (Jul. 21, 2020), available at https://laweconcenter.org/wp-content/uploads/2020/07/ICLE-tldr-Self-preferencing_-building-an-ecosystem-FINAL.pdf.

[297] See supra, Section III.B.

[298] See Decker, supra note 276, at 190-91. See also references, supra note 293.

[299] See Aldous Huxley, Point Counter Point (1928).

[300] See supra, Section I.

[301] See supra, Section II.

[302] As discussed, these ideas are, at least to some extent, redolent of the neo-Brandeisian (and older, Brandeisian) school of thought in the United States and ordoliberalism in Europe. See, e.g., Joseph Coniglio, Why the “New Brandeis Movement” Gets Antitrust Wrong, Law360 (Apr. 24, 2018), https://www.law360.com/articles/1036456/why-the-new-brandeis-movement-gets-antitrust-wrong (“The [neo-Brandeisian movement] is not a new entrant in the marketplace of ideas.”). See also Daniel Crane, How Much Brandeis Do the Neo-Brandeisians Want?, 64 Antitrust Bull. 4 (2019).

[303] See, e.g., Rupprecht Podszun, Philipp Bongartz, & Sarah Langenstein, Proposals on How to Improve the Digital Markets Act, Working Paper (Feb. 18, 2021) at 3, https://ssrn.com/abstract=3788571 (“Critics who wish to place the tool into the realm of competition law miss the point that this is a fundamentally different approach.”).

[304] In the EU, for example, the DMA was proposed on the basis of Article 114 TFEU, rather than Article 352 TFEU. The consequence is that, for the purpose of EU law, the DMA is considered an internal market regulation, rather than competition legislation. It has been argued that Article 352 TFEU, or Article 114 TFEU in conjunction with Article 103 TFEU, would have been the more appropriate legal mechanism. See, e.g., Alfonso Lamadrid & Nieves Bayón Fernández, Why the Proposed DMA Might be Illegal Under Article 114 TFEU, and How to Fix It, 12 J. Comp. L. & Prac. 7 (2021). One reason why the Commission might have preferred to use Article 114 TFEU over Article 352 TFEU is that the process under Article 114 is less cumbersome. Unlike Article 114, Article 352 TFEU requires unanimity among EU member states and would not enable the European Parliament to function as co-legislator. See Alfonso Lamadrid, The Key to Understand the Digital Markets Act: It’s the Legal Basis, Chillin’ Competition (Dec. 03, 2020), https://chillingcompetition.com/2020/12/03/the-key-to-understand-the-digital-markets-act-its-the-legal-basis.

[305] See supra, Section III.

[306] While it is impossible to connect broad macroeconomic trends conclusively to specific policy decisions, it does seem clear that Europe’s approach to economic regulation has not served it well. See, e.g., Greg Ip, Europe Regulates Its Way to Last Place, Wall St. J. (Jan. 31, 2024), https://www.wsj.com/economy/europeregulates-its-way-to-last-place-2a03c21d (“Of course, Europe’s economy underperforms for lots of reasons, from demographics to energy costs, not just regulation. And U.S. regulators aren’t exactly hands-off. Still, they tend to act on evidence of harm, whereas Europe’s will act on the mere possibility. This precautionary principle can throttle innovation in its cradle.”). In that environment, the EU’s economic performance has fallen significantly behind that of the United States. See, e.g., id.; Eric Albert, Europe Trails Behind the United States in Economic Growth, Le Monde (Nov. 1, 2023), https://www.lemonde.fr/en/economy/article/2023/11/01/europe-trails-behind-the-united-states-in-economicgrowth_6218259_19.html (“For the past fifteen years, Europe has been falling further and further behind…. Since 2007, per capita growth on the other side of the Atlantic has been 19.2%, compared with 7.6% in the eurozone. A gap of almost twelve points.”); Fredrik Erixon, Oscar Guinea, & Oscar du Roy, If the EU Was a State in the United States: Comparing Economic Growth Between EU and US States, ECIPE Policy Brief No.07/2023 (2023), available at https://ecipe.org/publications/comparingeconomic-growth-between-eu-and-us-states (“[I]n 2010 US GDP per capita was 47 percent larger than the EU while in 2021 this gap increased to 82 percent. If the current trend of GDP per capita carries forward, in 2035, the average GDP per capita in the US will be $96,000 while the average EU GDP per capita will be $60,000.”); id. (noting that some of the reasons for the EU’s lagging growth include slower business creation and destruction, anemic R&D investment, and less stick and growth of intangible capital assets, which are crucial for the adoption and diffusion of productivity-driving technologies); Patrick Artus, Economics: Why Europe is Falling Behind the USA, Polytechnique Insights (Jun.11 2024), https://www.polytechnique-insights.com/en/columns/economy/economy-why-europe-is-falling-behind-the-usa/ (arguing that the cumulative GDP growth gap between the U.S. and the EU can be explained by insufficient investment in new technologies and inadequate spending on R&D in Europe).

[307] The term is used often in the literature and media. For an example of the former, see William Davies & Nicholas Gane, Post-Neoliberalism? An Introduction, 38 Theory, Culture & Soc’y 3 (2021). For an example of the latter, see Rana Foroohar, The New Rules for Business in a Post-Neoliberal World, Financial Times (Oct. 9, 2022), https://www.ft.com/content/e04bc664-04b2-4ef6-90f9-64e9c4c126aa. For an example somewhere in between, see Joseph Stiglitz, The Road to Freedom: Economics and the Good Society (2024).

[308] The term has been used by, among others, Thomas Biebricher and Frieder Vogelmann to describe the views of the Ordoliberals on the respective roles of the market and the state. See Thomas Biebricher and Frieder Vogelmann, The Birth of Austerity: German Ordoliberalism and Contemporary Neoliberalism 138-39 (2017).

[309] See e.g., Jean Tirole, Competition and Industrial Policy in the 21st Century, 3 Oxford Open Econ. i983, i999 (2024) (noting that the “popularity” of industrial policy and state aid has grown recently “in Europe, China, the USA and several other parts of the world”); Kathleen R. McNamara, Transforming Europe? The EU’s Industrial Policy and Geopolitical Turn, 31 J. Eur. Pub. Pol. 2371, 2372 (2023) (observing a rise of new “market activism” in the EU and finding that “EU industrial policy is increasingly willing to use “public powers to actively shape markets for the interests and values of a bounded political community”).

[310] See Jedediah Britton-Purdy, David Singh Grewal, Amy Kapczynski & K. Sabeel Rahman, Building a Law-and-Political-Economy Framework: Beyond the Twentieth-Century Synthesis, 129 Yale L.J. 1784 (2020); David Singh Grewal, Amy Kapczynski, & Jedediah Britton-Purdy, Law and Political Economy: Toward a Manifesto, LPE Project (Nov. 6, 2017), https://lpeproject.org/blog/law-and-political-economy-toward-a-manifesto/ (“We pursue these egalitarian and democratic commitments through a set of theoretical premises. Politics and the economy cannot be separated. Politics both creates and shapes the economy. In turn, politics is profoundly shaped by economic relations and economic power. Attempts to separate the economy from politics make justice harder to pursue in both domains. As recent events illustrate, market society generates political conflict—conflict that is profoundly racialized and gendered. A politics that can engage this conflict must be attentive to the interplay between the ways the state creates ‘the market’ and the ways market power feeds back into the politics, and between the hierarchies and humiliations of ‘private’ life and the appeal of reactionary political visions.”).

[311] See supra note 91, and the examples cited therein.

[312] See Davies and Gane, supra note 307, at 1 (“While events of 2020–21 have facilitated new forms of privatization of many public services and goods, they also signal, potentially, a break from the neoliberal orthodoxies of the previous four decades, and, in particular, from their overriding concern for the market.”). See also Edward Luce, It’s the End of Globalism As We Know It, Financial Times (May 8, 2020), https://www.ft.com/content/3b64a08a-7d91-4f09-9a31-0157fa9192cf (“The past 40 years have been predicated on a complex system of neoliberalism that is slowly but surely coming undone, but as of yet, we don’t have any global replacement.”); Paolo Gerbaudo, A Post-Neoliberal Paradigm is Emerging: Conversation with Felicia Wong, El Pais (Nov. 4, 2022), https://agendapublica.elpais.com/noticia/18303/post-neoliberal-paradigm-is-emerging-conversation-with-felicia-wong.

[313] See, e.g., Teachout, The Death of the Consumer Welfare Standard, supra note 119.

[314] After Hillary Clinton lost the 2016 U.S. presidential election to Donald Trump, Barack Obama referred to history and progress in the United States as zigzagging, rather than moving in a straight line. See, Statement by the President, White House Office of the Press Secretary (Nov. 09, 2016), https://obamawhitehouse.archives.gov/the-press-office/2016/11/09/statement-president.

ICLE White Paper

Don’t Believe the Hype (on Competition and AI)

As in the Public Enemy song that gives this post its title, the hype about alleged competition risks in the artificial intelligence (AI) “market” is a sequel—and not a good one—to the hyperbolic and dystopian view that has informed several recent antitrust-policy proposals and demands for tougher enforcement of competition laws, particularly in digital markets. As we will explain, the evidence tells a different story, and there are plenty of reasons to be rather cautious before taking any action in the AI sector.

Read the full piece here.

TOTM

India Should Question Europe’s Digital-Regulation Strategy

Ayear after it was created by the Government of India’s Ministry of Corporate Affairs to examine the need for a separate law on competition in digital markets, India’s Committee on Digital Competition Law (CDCL) in February both published its report recommending adoption of such rules and submitted the draft Digital Competition Act (DCA), which is virtually identical to the European Union’s Digital Markets Act (DMA).

Read the full piece here.

TOTM

Regulating the Metaverse: Putting the Meta-Cart Before the Meta-Horse

Introduction

We welcome the opportunity to comment on the European Commission’s call for evidence on “Virtual worlds (metaverses) – a vision for openness, safety and respect.”[1]

The metaverse is an exciting and rapidly evolving set of virtual worlds. As with any new technology, concerns about the potential risks and negative consequences that the metaverse may bring have moved policymakers to explore how best to regulate this new space.

In its call for evidence, the commission suggests that preemptive regulatory steps may be needed to avoid the metaverse becoming “a more closed ecosystem with the prevalence of proprietary systems and gatekeepers.”[2] But this diagnosis rests on dubious premises.

From the outset, it is important to recognize that simply because the metaverse is new does not mean that it is unregulated. Existing regulations may not explicitly or exclusively target metaverse ecosystems, but a vast regulatory apparatus already covers most aspects of business in virtual worlds. As we explain in greater detail (Section I), this includes European competition law, the Digital Markets Act (“DMA”), the General Data Protection Act (“GDPR), the Digital Services Act (“DSA”), and many more. Before it enacts any new rules, the commission should carefully consider whether there are any metaverse-specific problems not already addressed by these legal provisions.

This sense that the metaverse is already adequately regulated is reinforced by two important factors.

The first is that competition appears particularly intense in this space (Section II). There are currently multiple firms vying to offer compelling virtual worlds. At the time of writing, however, none appears close to dominating the market. In turn, this intense competition will encourage platforms to design services that meet consumers’ demands, notably in terms of safety and privacy. Nor does the market appear likely to fall into the hands of one of the big tech firms that command a sizeable share of more traditional internet services. Meta notoriously has poured more than $3.99 billion into its metaverse offerings during the first quarter of 2023, in addition to $13.72 billion the previous calendar year.[3] Despite these vast investments and a strategic focus on metaverse services, the company has, thus far, struggled to achieve meaningful traction in the space.[4]

Second, the commission’s primary concern appears to be that metaverses will become insufficiently “open and interoperable”.[5] But to the extent that these ecosystems do, indeed, become closed and proprietary, there is no reason to believe this to be a problem. Closed and proprietary ecosystems have several features that may be attractive to consumers and developers (Section III). These include improved product safety, performance, and ease of development. This is certainly not to say that closed ecosystems are always better than more open ones, but rather that the commission is wrong to assume that one model or the other is optimal. Instead, the proper balance depends on tradeoffs that markets are better placed to decide.

Finally, timing is of the essence (Section IV). The commission’s call for evidence appears to assume that, by acting preemptively, it can shape the metaverse industry according to its idiosyncratic preferences:

It is crucial for the EU to be present in the development of virtual worlds and their governance, and lead the way through important challenges such as setting standards, building infrastructure, and addressing legal, economic, societal and ethical aspects.[6]

The commission has further expressed hopes that this will enable European firms to thrive:

The initiative is expected to create more opportunities for EU industrial players along the value chain, such as for EU providers of hardware and software components, system integrators and content creators.[7]

But intervening so early in a fledgling industry’s life cycle is like shooting a moving target from a mile away. New rules might end up being irrelevant. Worse, by signaling that metaverses will be subject to heightened regulatory scrutiny for the foreseeable future, the commission may chill investment from the very firms is purports to support. In short, the commission should resist the urge to intervene so long as the industry is not fully mature.

I.        Old Rules for a New Frontier

The commission’s call for evidence appears to be premised on the idea there is something new and unique about metaverse ecosystems that warrants industry-specific rules and regulations.

Against this backdrop, Frank Easterbrook’s seminal piece “Cyberspace and the Law of the Horse” seems more relevant than ever.[8] In his article, Easterbrook analogized the then-emerging field of cyberspace law to the “law of the horse.” He argued, in essence, that legal incidents involving horses are best understood by studying general legal disciplines like torts and property law, rather than studying all the legal incidents involving horses:

Lots of cases deal with sales of horses; others deal with people kicked by horses; still more deal with the licensing and racing of horses, or with the care veterinarians give to horses, or with prizes at horse shows. Any effort to collect these strands into a course on “The Law of the Horse” is doomed to be shallow and to miss unifying principles.

From a policy standpoint, Easterbrook’s intuition is clear. Policymakers should be less worried about developing new bodies of law to regulate legal disputes in cyberspace and, instead, concentrate their efforts on understanding how traditional rules apply to the disputes that arise in this space:

When asked to talk about “Property in Cyberspace,” my immediate reaction was, “Isn’t this just the law of the horse?”… This leads directly to my principal conclusion: Develop a sound law of intellectual property, then apply it to computer networks.[9]

Easterbrook’s intuition would appear even more appropriate to law in the metaverse. Policymakers often assume that, because the metaverse is new and not covered by specific regulations, it must surely be a lawless area where few rules apply and companies are free to exclude their competitors and exploit consumers. As the commission puts it, drawing an analogy to the emergence of the first big tech companies:

The first wave of the Internet developed mostly in an uncoordinated and unregulated manner leading to a more closed ecosystem with the prevalence of proprietary systems and gatekeepers.

Although virtual worlds and the transition to Web 4.0 are still in the early stages, we are witnessing the dawn of a similar situation, where global corporations are massively investing in core technologies, filing trademarks, and setting de facto standards as early movers…[10]

A.                  The Internet Was Never an Unregulated World

Unfortunately, this assertion both rewrites the history of the internet and ignores the plethora of regulations that currently apply to metaverse services, particularly when they operate in the European Union.

For a start, it is important to recognize that digital platforms fall under several pieces of European legislation. Chief among these is European competition law, which has long applied to tech firms. After all, the Microsoft competition cases date back to the early 2000s and the commission opened its competition cases against Google way back in 2011.[11] These early cases were followed by investigations into online platforms like Apple’s iPhone and App Store, as well as Amazon’s online marketplace.[12] It is simply not true that the internet emerged in an unregulated environment (at least in terms of competition policy). EU oversight of digital platforms has also grown steadily more capacious, including through the recent passage of the DMA, which will arguably apply to metaverse worlds when they reach a certain size.[13]

And it is not just competition law that has directly shaped the European internet as we know it today. The e-Commerce Directive has governed how online platforms conduct business since it entered into force in 2000.[14] Oversimplifying, the directive shields online intermediaries from liability when illegal content is hosted on their platforms, conditional on them fulfilling certain limited obligations.[15] In turn, this has enabled online platforms to grow without fear of being held liable for their users’ behavior, while guaranteeing some level of safety and compliance with existing laws. More recent legislation, such as the DSA, will only reinforce the extent to which online markets (including virtual worlds) must maintain high standards of safety and content curation. [16]

B.                  Metaverse’s Regulatory Framework Is Already in Place

Existing laws and regulations that govern such areas as intellectual property, contracts, consumer protection, and online safety are equally applicable to the metaverse. The metaverse is not a separate and unique realm, but rather an extension of the physical world we already inhabit. Or, to put it differently, the metaverse is populated by real consumers and firms who are bound by the laws that are applicable in their jurisdictions.

The commission’s call for evidence appears to recognize this much, although it doesn’t appears to consider the possibility that—given this large body of existing laws—more regulation might not be the answer:

Furthermore, the EU already has a strong regulatory framework to address potential impacts that virtual worlds may have on aspects such as competition, cybersecurity, artistic creation and privacy. EU legislation such as the General Data Protection Regulation, Digital Services Act, Digital Markets Act, Net Neutrality Regulation and the Unfair Commercial Practices Directive will ensure that users are protected in relation to several aspects and that EU small and medium-sized enterprises are not driven out of the market. The revised Directive on Security of Network and Information Systems will strengthen supply chain cybersecurity while the upcoming EU Digital ID will give full control to users over their identity and data.[17]

To put this in more concrete terms, a virtual item or avatar created within the metaverse is subject to the same copyright and trademark laws as a physical product. Property over those creations may be transferred, subject to the metaverse platform’s terms of service, which are governed by existing contract and consumer-protection laws. For example, the terms of use governing Decentraland (a blockchain-based virtual world) include a detailed section on how ownership of copyright-protected works may or may not be transferred from users to the platform.[18] In turn, these terms are subject to the same consumer-protection laws that apply to the physical world.

Of course, the application of existing laws to the metaverse is not always straightforward. There are some unique challenges and complexities that arise in this new space. The enforceability of some existing laws may, for example, be complicated in virtual worlds (like Decentraland) that rely on blockchain technology. Indeed, blockchains often have characteristics—such as immutability, decentralized ownership, and a reliance on pseudonymity or anonymity—that complicate legal enforcement.[19] These potential obstacles are specific to blockchain technology, however, not to metaverses.

Indeed, there is no reason to believe that all, or even most, successful metaverse services will be blockchain-based. In fact, two of the most successful virtual worlds do not rely on the blockchain.[20] The upshot is that enacting metaverse-specific rules to deal with blockchain-specific issues is almost certainly the wrong way to proceed.

C.                  New Rules Are Not Always the Best Path Forward

More fundamentally, even if metaverses do give rise to legal blind spots, this does not necessarily mean that new regulation is warranted.

In his seminal rebuttal to Easterbrook’s “Law of the Horse”, Lawrence Lessig cited two examples of cyberspace law that, in his opinion, fell under the radar of existing legal provisions and necessitated the creation of internet-specific laws: the widespread accessibility of pornographic content and firms’ ability to track users’ behavior online.[21] No champion of free markets, Lessig nonetheless argued that blinds spots of this sort do not necessarily warrant the adoption of new regulations (though, in those two cases, that is largely what the European Union decided to do[22]). Instead, he argued four main factors constrain firms’ behavior in cyberspace. Legal provisions are only one of those four constraints—the others being norms, markets, and code.[23] If other constraints are operating, then what may appear to be a legal blind spot may not, in fact, give rise to problematic behavior or outcomes. And because regulation may sometimes be over-inclusive, it will sometimes be better for regulators to adopt a laissez-faire approach.[24]

This intuition is perhaps best understood with reference to Ronald Coase. In his Nobel-winning work on “The Problem of Social Cost”, Coase essentially argued that governments need not worry about the initial allocation of rights (and, by extension, externalities) when they are well-delimited and transaction costs are low:

It is always possible to modify by transactions on the market the initial legal delimitation of rights. And, of course, if such market transactions are costless such a rearrangement of rights will always take place if it would lead to an increase in the value of production.[25]

This has important ramifications for the regulation of business in the metaverse. Even if it were true that existing laws were inapplicable in the metaverse, this is not sufficient justification for passing new regulations. Instead, the real question is whether various frictions prevent consumers and businesses from reaching agreements that grow the value of these online ecosystems. If these agreements can take place, then the scope for beneficial government intervention is more limited. As things stand, there is little reason to believe that frictions of this sort prevent consumers, platforms, and content creators from concluding such deals in the metaverse context—for example, determining how the rights over metaverse creations are allocated.

Finally, even if the commission surmised that there are currently market failures in the metaverse, this does not necessarily mean that entirely new regulations are appropriate. Indeed, it may be preferrable to adapt existing legal principles, rather than enact new rules. As explained in Section IV, creating new regulations that are specific to the metaverse could be counterproductive. They could create uncertainty and additional compliance costs for businesses, without necessarily achieving any meaningful improvements in consumer protection or other regulatory goals. Furthermore, new rules could stifle innovation and limit the potential of this exciting new technology.

In short, there is little to suggest that new rules are required to govern the metaverse. The existing legal framework appears largely sufficient to address most concerns that may arise in this space. Policymakers should instead focus on adapting and refining this existing framework, as necessary.

II.      Competing for Consumer Trust

As suggested above, the extent to which metaverse services compete with each other (and continue to do so in the future) will largely determine whether they fulfil consumers’ expectations and meet the safety and trustworthiness requirements to which the commission aspires. As even the left-leaning Lessig put it:

Markets regulate behavior in cyberspace too. Prices structures often constrain access, and if they do not, then busy signals do. (America Online (AOL) learned this lesson when it shifted from an hourly to a flat-rate pricing plan.) Some sites on the web charge for access, as on-line services like AOL have for some time. Advertisers reward popular sites; online services drop unpopular forums. These behaviors are all a function of market constraints and market opportunity, and they all reflect the regulatory role of the market.[26]

The commission’s call for evidence implicitly recognizes the important role that competition plays, although it frames the subject primarily in terms of the problems that would arise if competition ceased to operate:

There is a risk of having a small number of big players becoming future gatekeepers of virtual worlds, creating market entry barriers and shutting out EU start-ups and SMEs from this emerging market. Such a closed ecosystem with the prevalence of proprietary systems can negatively affect the protection of personal information and data, the cybersecurity and the freedom and openness of virtual worlds at the same time.[27]

It is thus necessary to ask whether there is robust competition in the market for metaverse services. The short answer is a resounding yes.

A.                  Competition Without Tipping

While there is no precise definition of what constitutes a metaverse—much less a precise definition of the relevant market—available data suggests the space is highly competitive. This is evident in the fact that even a major global firm like Meta—having invested billions of dollars in its metaverse branch (and having rebranded the company accordingly)—has struggled to gain traction.[28]

Other major players in the space include the likes of Roblox, Fortnite, and Minecraft, which all have somewhere between 70 and 200 million active users.[29] This likely explains why Meta’s much-anticipated virtual world struggled to gain meaningful traction with consumers, stalling at around 300,000 active users.[30] Alongside these traditional players, there are also several decentralized platforms that are underpinned by blockchain technology. While these platforms have attracted massive investments, they are largely peripheral in terms of active users, with numbers often only in the low thousands.[31]

There are several inferences that can be drawn from these limited datasets. For one, it is clear that the metaverse industry is not yet fully mature. There are still multiple paradigms competing for consumer attention: game-based platforms versus social-network platforms; traditional platforms versus blockchain platforms, etc. In the terminology developed by David Teece, the metaverse industry has not yet reached a “paradigmatic” stage. It is fair to assume there is still significant scope for the entry of differentiated firms.[32]

It is also worth noting that metaverse competition does not appear to exhibit the same sort of network effects and tipping that is sometimes associated with more traditional social networks.[33] Despite competing for nearly a decade, no single metaverse project appears to be running away with the market.[34] This lack of tipping might be because these projects are highly differentiated.[35] It may also be due to the ease of multi-homing among them.[36]

More broadly, it is far from clear that competition will lead to a single metaverse for all uses. Different types of metaverse services may benefit from different user interfaces, graphics, and physics engines. This cuts in favor of multiple metaverses coexisting, rather than all services coordinating within a single ecosystem. Competition therefore appears likely lead to the emergence of multiple differentiated metaverses, rather than a single winner.

Ultimately, competition in the metaverse industry is strong and there is little sense these markets are about to tip towards a single firm in the year future.

B.                  Competing for Consumer Trust

As alluded to in the previous subsection, the world’s largest and most successful metaverse entrants to date are traditional videogaming platforms that have various marketplaces and currencies attached.[37] In other words, decentralized virtual worlds built upon blockchain technology remain marginal.

This has important policy implications. The primary legal issues raised by metaverses are the same as those encountered on other digital marketplaces. This includes issues like minor fraud, scams, and children buying content without their parents’ authorization.[38] To the extent these harms are not adequately deterred by existing laws, metaverse platforms themselves have important incentives to police them. In turn, these incentives may be compounded by strong competition among platforms.

Metaverses are generally multi-sided platforms that bring together distinct groups of users, including consumers and content creators. In order to maximize the value of their ecosystems, platforms have an incentive to balance the interests of these distinct groups.[39] In practice, this will often mean offering consumers various forms of protection against fraud and scams and actively policing platforms’ marketplaces. As David Evans puts it:

But as with any community, there are numerous opportunities for people and businesses to create negative externalities, or engage in other bad behavior, that can reduce economic efficiency and, in the extreme, lead to the tragedy of the commons. Multi-sided platforms, acting selfishly to maximize their own profits, often develop governance mechanisms to reduce harmful behavior. They also develop rules to manage many of the same kinds of problems that beset communities subject to public laws and regulations. They enforce these rules through the exercise of property rights and, most importantly, through the “Bouncer’s Right” to exclude agents from some quantum of the platform, including prohibiting some agents from the platform entirely…[40]

While there is little economic research to suggest that competition directly increases hosts’ incentive to policy their platforms, it stands to reason that doing so effectively can help platforms to expand the appeal of their ecosystems. This is particularly important for metaverse services whose userbases remain just a fraction of the size they could ultimately reach. While 100 or 200 million users already comprises a vast ecosystem, it pales in comparison to the sometimes billions of users that “traditional” online platforms attract.

The bottom line is that the market for metaverses is growing. This likely compounds platforms’ incentives to weed out undesirable behavior, thereby complementing government efforts to achieve the same goal.

III.    Opening Platforms or Opening Pandora’s Box?

In its call for evidence, the commission implicitly assumes that open ecosystems are better for consumers than closed ones. Indeed, the commission laments that a lack of regulation made the Internet less open than it would otherwise have been. In its own words:

The first wave of the Internet developed mostly in an uncoordinated and unregulated manner leading to a more closed ecosystem with the prevalence of proprietary systems and gatekeepers.[41]

According to the commission, it would be detrimental to consumers if metaverse competition led to closed and proprietary ecosystems:

Such a closed ecosystem with the prevalence of proprietary systems can negatively affect the protection of personal information and data, the cybersecurity and the freedom and openness of virtual worlds at the same time.[42]

But this assumption is simply wrong. There are many benefits to closed ecosystems. Choosing the optimal degree of openness entails tradeoffs. At the very least, this suggests that policymakers should be careful not to assume that opening platforms up will systematically provide net benefits to consumers.

A.      Antitrust Enforcement and Regulatory Initiatives

To understand why open (and highly propertized) platforms are not always better for consumers, it is worth looking at past competition enforcement in the online space. Recent interventions by competition authorities have generally attempted (or are attempting) to move platforms toward more openness and less propertization. For their part, these platforms are already tremendously open (as the “platform” terminology implies) and attempt to achieve a delicate balance between centralization and decentralization.

The Microsoft cases and the Apple investigation both sought or seek to bring more openness and less propertization to those respective platforms. Microsoft was made to share proprietary data with third parties (less propertization) and to open its platform to rival media players and web browsers (more openness).[43] The same applies to Apple. Plaintiffs in private antitrust litigation brought in the United States[44] and government enforcement actions in Europe[45] are seeking to limit the fees that Apple can extract from downstream rivals (less propertization), as well as to ensure that it cannot exclude rival mobile-payments solutions from its platform (more openness).

The various cases that were brought by EU and U.S. authorities against Qualcomm broadly sought to limit the extent to which it was monetizing its intellectual property.[46] The European Union’s Amazon investigation centers on the ways in which the company uses data from third-party sellers (and, ultimately, the distribution of revenue between those sellers and Amazon).[47] In both cases, authorities are ultimately trying to limit the extent to which firms can propertize their assets.

Finally, both of the EU’s Google cases sought to bring more openness to the company’s main platform. The Google Shopping decision sanctioned Google for purportedly placing its services more favorably than those of its rivals.[48] The separate Android decision sought to facilitate rival search engines’ and browsers’ access to the Android ecosystem. The same appears to be true of ongoing litigation brought by state attorneys general in the United States.[49]

Much of the same can be said of the numerous regulatory initiatives pertaining to digital markets. Indeed, draft regulations being contemplated around the globe mimic the features of the antitrust/competition interventions discussed above. For instance, it is widely accepted that Europe’s DMA effectively transposes and streamlines the enforcement of the theories harm described above.[50] Similarly, several scholars have argued that the proposed American Innovation and Choice Online Act (“AICOA”) in the United States largely mimics European competition policy.[51] The legislation would ultimately require firms to open up their platforms, most notably by forcing them to treat rival services as they would their own and to make their services more interoperable with those rivals.[52]

What is striking about these decisions and investigations is the extent to which authorities are pushing back against the very features that distinguish the platforms they are investigating. Closed (or relatively closed) platforms are forced to open up, and firms with highly propertized assets are made to share them (or, at the very least, monetize them less aggressively).

B.      The Empty Quadrant

All of this would not be very interesting if it weren’t for a final piece of the puzzle: the model of open and shared platforms that authorities apparently favor has traditionally struggled to gain traction with consumers. Indeed, there seem to be vanishingly few successful consumer-oriented products and services in this space.

There have been numerous attempts to introduce truly open consumer-oriented operating systems in both the mobile and desktop segments. Most have ended in failure. Ubuntu and other flavors of the Linux operating system remain fringe products. There have been attempts to create open-source search engines, but they have not met with success.[53] The picture is similar in the online retail space. Amazon appears to have beaten eBay, despite the latter being more open and less propertized. Indeed, Amazon has historically charged higher fees than eBay and offers sellers much less freedom in the ways in which they may sell their goods.[54]

This theme is repeated in the standardization space. There have been innumerable attempts to impose open, royalty-free standards. At least in the mobile-internet industry, few (if any) of these have taken off. Instead, proprietary standards such as 5G and WiFi have been far more successful. That pattern is repeated in other highly standardized industries, like digital-video formats. Most recently, the proprietary Dolby Vision format seems to be winning the war against the open HDR10+ format.[55]

This is not to say that there haven’t been any successful examples of open, royalty-free standards. Internet protocols, blockchain, and Wikipedia all come to mind. Nor does it mean that we will not see more decentralized goods in the future. But by and large, firms and consumers have not yet taken to the idea of fully open and shared platforms. Or, at least, those platforms have not yet achieved widespread success in the marketplace (potentially due to supply-side considerations, such as the difficulty of managing open platforms or the potentially lower returns to innovation in weakly propertized ones).[56] And while some “open” projects have achieved tremendous scale, the consumer-facing side of these platforms is often dominated by intermediaries that opt for much more traditional business models (think of Coinbase in the blockchain space, or Android’s use of Linux).

C.      Potential Explanations

The preceding section posited a recurring reality: the digital platforms that competition authorities wish to bring into existence are fundamentally different from those that emerge organically. But why have authorities’ ideal platforms, so far, failed to achieve truly meaningful success?

Three potential explanations come to mind. First, “closed” and “propertized” platforms might systematically—and perhaps anticompetitively—thwart their “open” and “shared” rivals. Second, shared platforms might fail to persist (or grow pervasive) because they are much harder to monetize, and there is thus less incentive to invest in them. This is essentially a supply-side explanation. Finally, consumers might opt for relatively closed systems precisely because they prefer these platforms to marginally more open ones—i.e., a demand-side explanation.

In evaluating the first conjecture, the key question is whether successful “closed” and “propertized” platforms overcame their rivals before or after they achieved some measure of market dominance. If success preceded dominance, then anticompetitive foreclosure alone cannot explain the proliferation of the “closed” and “propertized” model.[57]

Many of today’s dominant platforms, however, often overcame open/shared rivals, well before they achieved their current size. It is thus difficult to make the case that the early success of their business models was due to anticompetitive behavior. This is not to say these business models cannot raise antitrust issues, but rather that anticompetitive behavior is not a good explanation for their emergence.

Both the second and the third conjectures essentially ask whether “closed” and “propertized” might be better adapted to their environment than “open” and “shared” rivals.

In that respect, it is not unreasonable to surmise that highly propertized platforms would generally be easier to monetize than shared ones. For example, to monetize open-source platforms often requires relying on complementarities, which tend to be vulnerable to outside competition and free-riding.[58] There is thus a natural incentive for firms to invest and innovate in more propertized environments. In turn, competition enforcement that limits a platform’s ability to propertize their assets may harm innovation.

Similarly, authorities should reflect on whether consumers really want the more “competitive” ecosystems that they are trying to design. The European Commission, for example, has a long track record of seeking to open digital platforms, notably by requiring that platform owners do not preinstall their own web browsers (the Microsoft decisions are perhaps the most salient example). And yet, even after these interventions, new firms have kept using the very business model that the commission reprimanded, rather than the “pro-consumer” model it sought to impose on the industry. For example, Apple tied the Safari browser to its iPhones; Google went to some length to ensure that Chrome was preloaded on devices; and Samsung phones come with Samsung Internet as default.[59] Yet this has not ostensibly steered consumers away from those platforms.

Along similar lines, a sizable share of consumers opt for Apple’s iPhone, which is even more centrally curated than Microsoft Windows ever was (and the same is true of Apple’s MacOS). In other words, it is hard to claim that opening platforms is inherently good for consumers when those same consumers routinely opt for platforms with the very features that policymakers are trying to eliminate.

Finally, it is worth noting that the remedies imposed by competition authorities have been anything but successes. Windows XP N (the version of Windows that came without Windows Media Player) was an unmitigated flop, selling a paltry 1,787 copies.[60] Likewise, the internet-browser “ballot box” imposed by the commission was so irrelevant to consumers that it took months for authorities to notice that Microsoft had removed it, in violation of the commission’s decision.[61]

One potential inference is that consumers do not value competition interventions that make dominant ecosystems marginally more open and less propertized. There are also many reasons why consumers might prefer “closed” systems (at least, relative to the model favored by many policymakers), even when they must pay a premium for them.

Take the example of app stores. Maintaining some control over the apps that can access the store enables platforms to easily weed out bad actors. Similarly, controlling the hardware resources that each app can use may greatly improve device performance. Indeed, it may be that a measure of control facilitates the very innovations that consumers demand. Therefore, “authorities and courts should not underestimate the indispensable role control plays in achieving coordination and coherence in the context of systemic ef?ciencies. Without it, the attempted novelties and strategies might collapse under their own complexity.”[62]

Relatively centralized platforms can eliminate negative externalities that “bad” apps impose on rival apps and consumers.[63] This is especially true when consumers will tend to attribute dips in performance to the overall platform, rather than to a particular app.[64] At the same time, they can take advantage of positive externalities to improve the quality of the overall platform.

And it is surely the case that consumers prefer to make many of their decisions at the inter-platform level, rather than within each platform. In simple terms, users arguably make their most important decision when they choose between an Apple or Android smartphone (or a Mac and a PC, etc.). In doing so, they can select their preferred app suite with one simple decision. They might thus purchase an iPhone because they like the secure App Store, or an Android smartphone because they like the Chrome Browser and Google Search. Absent false information at the time of the initial platform decision, this decision will effectively incorporate expectations about subsequent constraints.[65]

Furthermore, forcing users to make too many “within-platform” choices may undermine a product’s attractiveness. Indeed, it is difficult to create a high-quality reputation if each user’s experience is fundamentally different.[66] In short, contrary to what antitrust authorities appear to believe, closed platforms might give most users exactly what they desire.

All of this suggests that consumers and firms often gravitate spontaneously toward both closed and highly propertized platforms, the opposite of what the commission and other competition authorities tend to favor. The reasons for this trend are still misunderstood, and mostly ignored. Too often it is simply assumed that consumers benefit from more openness, and that shared/open platforms are the natural order of things. Instead, what some regard as “market failures” may in fact be features that explain the rapid emergence of the digital economy.

When considering potential policy reforms targeting the metaverse, policymakers would be wrong to assume openness (notably, in the form of interoperability) and weak propertization are always objectively superior. Instead, these platform designs entail important tradeoffs. Closed metaverse ecosystems may lead to higher consumer safety and better performance, while interoperable systems may reduce the frictions consumers face when moving from one service to another. There is little reason to believe policymakers are in a better position to weigh these tradeoffs than consumers, who vote with their virtual feet.

IV.    Conclusion

A final important argument against intervening today is that the metaverse industry is nowhere near mature. Tomorrow’s challenges and market failures might not be the same as today’s. This makes it exceedingly difficult for policymakers to design appropriate regulation and increases the risk that regulation might harm innovation.

At the time of writing, the entire metaverse industry (both hardware and software) is estimated to be worth somewhere in the vicinity of $80 billion, and projections suggest this could grow by a factor of 10 by 2030.[67] Growth projections of this sort are notoriously unreliable. But in this case, they do suggest there is some consensus that the industry is not fully fledged.

Along similar lines, it remains unclear what types of metaverse services will gain the most traction with consumers, what sorts of hardware consumers will use to access these services, and what technologies will underpin the most successful metaverse platforms. In fact, it is still an open question whether the metaverse industry will foster any services that achieve widespread consumer adoption in the foreseeable future.[68] In other words, it is not exactly clear what products and services metaverse-specific rules would end up covering.

Given these uncertainties—and the other arguments against regulation discussed in the previous sections—it would be premature to enact metaverse-specific rules. And yet, that is precisely what the commission appears to be contemplating.

In its call for evidence, the commission suggests that acting now will enable it to shape the metaverse industry to fit its own preferences, while guaranteeing that European firms are central to metaverse ecosystems:

The EU is well positioned to shape this next evolution, reflecting the EU‘s vision for the Digital Decade 20302 and in line with the European Declaration on Digital Rights and Principles , from the outset: open, interoperable, trusted, secure, privacy preserving, virtual worlds, respecting our legislation.[69]

But this outcome is anything but certain. Intervening so early in the industry’s life cycle is like aiming at a moving target. New rules or guidelines might end up being irrelevant before they have any influence on the products that firms develop. More worryingly, acting now signals that the metaverse industry will be subject to heightened regulatory scrutiny for the foreseeable future. In turn, this may deter large platforms from investing in the European market. It also may funnel venture-capital investments away from the European continent.

The core problem is that, without a clear sense of the market failures that need to be fixed, there is little apparent upside to offset the costs of regulation. The best evidence concerning these potential costs comes from the GDPR. While privacy regulation is obviously not the same as other types of economic regulation, the evidence concerning the GDPR suggests that regulation may, at least in some instances, slow down innovation and reduce competition.

The most-cited empirical evidence concerning the effects of the GDPR comes from a paper by Garrett Johnson and co-authors, who link the GDPR to widespread increases to market concentration, particularly in the short-term:

We show that websites’ vendor use falls after the European Union’s (EU’s) General Data Protection Regulation (GDPR), but that market concentration also increases among technology vendors that provide support services to websites…. The week after the GDPR’s enforcement, website use of web technology vendors falls by 15% for EU residents. Websites are relatively more likely to retain top vendors, which increases the concentration of the vendor market by 17%. Increased concentration predominantly arises among vendors that use personal data, such as cookies, and from the increased relative shares of Facebook and Google-owned vendors, but not from website consent requests. Although the aggregate changes in vendor use and vendor concentration dissipate by the end of 2018, we find that the GDPR impact persists in the advertising vendor category most scrutinized by regulators.[70]

Along similar lines, an NBER working paper by Jian Jia and co-authors finds that enactment of the GDPR markedly reduced venture-capital investments in Europe:

Our findings indicate a negative differential effect on EU ventures after the rollout of GDPR relative to their US counterparts. These negative effects manifest in the overall number of financing rounds, the overall dollar amount raised across rounds, and in the dollar amount raised per individual round. Specifically, our findings suggest a $3.38 million decrease in the aggregate dollars raised by EU ventures per state per crude industry category per week, a 17.6% reduction in the number of weekly venture deals, and a 39.6% decrease in the amount raised in an average deal following the rollout of GDPR.[71]

In another paper, Samuel Goldberg and co-authors find that the GDPR led to a roughly 12% reduction in website pageviews and e-commerce revenue in Europe.[72] Finally, Rebecca Janssen and her co-authors show that the GDPR decreased the number of apps offered on Google’s Play Store between 2016 and 2019:

Using data on 4.1 million apps at the Google Play Store from 2016 to 2019, we document that GDPR induced the exit of about a third of available apps; and in the quarters following implementation, entry of new apps fell by half.[73]

Of course, the body of evidence concerning the GDPR’s effects is not entirely unambiguous. For example, Rajkumar Vekatesean and co-authors find that the GDPR had mixed effects on the returns of different types of firms.[74] Other papers also show similarly mixed effects.[75]

Ultimately, the empirical literature concerning the effects of the GDPR shows that regulation—in this case, privacy protection—is no free lunch. Of course, this does not mean that regulating the metaverse would necessarily have these same effects. But in the absence of a clear market failure to solve, it is unclear why policymakers should run such a risk in the first place.

In the end, regulating the metaverse is unlikely to be costless. The metaverse is still in its infancy, regulation could deter essential innovation, and the commission has thus far failed to identify any serious market failures that warrant public intervention. The result is that the commission’s call for evidence appears premature or, in other words, that the commission is putting the meta-cart before the meta-horse.

[1] Virtual Worlds (Metaverses) – A Vision for Openness, Safety and Respect, European Commission, https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/13757-Virtual-worlds-metaverses-a-vision-for-openness-safety-and-respect/feedback_en?p_id=31962299H (hereafter, “Call for Evidence”).

[2] Id.

[3] Jonathan Vaian, Meta’s Reality Labs Records $3.99 Billion Quarterly Loss as Zuckerberg Pumps More Cash into Metaverse, CNBC (Apr. 26, 2023), https://www.cnbc.com/2023/04/26/metas-reality-labs-unit-records-3point99-billion-first-quarter-loss-.html.

[4] Alan Truly, Horizon Worlds Leak: Only 1 in 10 Users Return & Web Launch Is Coming, Mixed News (Mar. 3, 2023), https://mixed-news.com/en/horizon-worlds-leak-only-1-in-10-users-return-web-launch-coming; Kevin Hurler, Hey Fellow Kids: Meta Is Revamping Horizon Worlds to Attract More Teen Users, Gizmodo (Feb. 7, 2023), https://gizmodo.com/meta-metaverse-facebook-horizon-worlds-vr-1850082068; Emma Roth, Meta’s Horizon Worlds VR Platform Is Reportedly Struggling to Keep Users, The Verge (Oct. 15, 2022),
https://www.theverge.com/2022/10/15/23405811/meta-horizon-worlds-losing-users-report; Paul Tassi, Meta’s ‘Horizon Worlds’ Has Somehow Lost 100,000 Players in Eight Months, Forbes, (Oct. 17, 2022), https://www.forbes.com/sites/paultassi/2022/10/17/metas-horizon-worlds-has-somehow-lost-100000-players-in-eight-months/?sh=57242b862a1b.

[5] Call for Evidence, supra note 1.

[6] Id.

[7] Id.

[8] Frank H. Easterbrook, Cyberspace and the Law of the Horse, 1996 U. Chi. Legal F. 207 (1996).

[9] Id. at 208.

[10] Call for Evidence, supra note 1.

[11] See Case COMP/C-3/37.792, Microsoft, OJ L 32 (May 24, 2004); see also, Case COMP/39.530, Microsoft (Tying), OJ C 120 (Apr. 26, 2013); Case AT.39740, Google Search (Shopping), 2017 E.R.C. I-379; Case AT.40099 Google Android, 2018 E.R.C.

[12] See European Commission Press Release IP/20/1073, Antitrust: Commission Opens Investigations into Apple’s App Store Rules (Jun. 16, 2020); European Commission Press Release IP/20/1075, Antitrust: Commission Opens Investigation into Apple Practices Regarding Apple Pay (Jun. 16, 2020); European Commission Press Release IP/19/4291, Antitrust: Commission Opens Investigation into Possible Anti-Competitive Conduct of Amazon (Jul. 17, 2019).

[13] Regulation (EU) No 2022/1925 of the European Parliament and of the Council of 14 September 2022 on contestable and fair markets in the digital sector and amending Directives (EU) 2019/1937 and (EU) 2020/1828 (Digital Markets Act), https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32022R1925.

[14] Directive 2000/31/EC of the European Parliament and of the Council of 8 June 2000 on Certain Legal Aspects of Information Society Services, in Particular Electronic Commerce, in the Internal Market (hereafter, “eCommerce Directive”), https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=celex%3A32000L0031.

[15] Id. art. 12 to 15.

[16] Regulation EU 2022/2065 of the European Parliament and of the Council of 19 October 2022 on a Single Market For Digital Services and Amending Directive 2000/31/EC (Digital Services Act), https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32022R2065 (hereafter, “DSA”).

[17] Call for Evidence, supra note 1.

[18] Terms of Use, Decentraland, https://decentraland.org/terms (last visited May 2, 2023).

[19] Andrew N. Choi & Cynthia A. Gierhart, Intellectual Property Enforcement in the Metaverse, Part 2, Holland & Knight (Oct. 13, 2022), https://www.hklaw.com/en/insights/publications/2022/10/intellectual-property-enforcement-in-the-metaverse-part-2; see, more generally, Thibault Schrepel, Blockchain + Antitrust (Elgar, 2021).

[20] Aron Garst, Fortnite and Roblox Are Dueling for the Future of User-Built Games, The Verge (Apr. 7, 2023), https://www.theverge.com/23674121/fortnite-roblox-user-generated-games.

[21] Lawrence Lessig, The Law of the Horse: What Cyberlaw Might Teach, 113 Harv. L. Rev. 510 (1999).

[22] Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the Protection of Natural Persons with Regard to the Processing of Personal Data and on the Free Movement of Such Data, and Repealing Directive 95/46/EC (General Data Protection Regulation); DSA, supra note 16; eCommerce Directive, supra note 14

[23] Lessig, supra note 22, at 507 (“Behavior, we might say, is regulated by four kinds of constraints. Law is just one of those constraints. Law (in at least one of its aspects) orders people to behave in certain ways; it threatens punishment if they do not obey. The law tells me not to buy certain drugs, not to sell cigarettes without a license, and not to trade across international borders without first filing a customs form. It promises strict punishments if these orders are not followed. In this way, we say that law regulates. But not only law regulates in this sense. Social norms do as well. Norms control where I can smoke; they affect how I behave with members of the opposite sex; they limit what I may wear; they influence whether I will pay my taxes. Like law, norms regulate by threatening punishment ex post. But unlike law, the punishments of norms are not centralized. Norms are enforced (if at all) by a community, not by a government. In this way, norms constrain, and therefore regulate. Markets, too, regulate. They regulate by price. The price of gasoline limits the amount one drives – more so in Europe than in the United States. The price of subway tickets affects the use of public transportation – more so in Europe than in the United States. Of course the market is able to constrain in this manner only because of other constraints of law and social norms: property and contract law govern markets; markets operate within the domain permitted by social norms. But given these norms, and given this law, the market presents another set of constraints on individual and collective behavior. And finally, there is a fourth feature of real space that regulates behavior – “architecture.””).

[24] Id. at 538-541; see also, Frank H. Easterbrook, Limits of Antitrust, 63 Tex. L. Rev. 1 (1984); Geoffrey A. Manne & Joshua D. Wright, Innovation and the Limits of Antitrust, 6 J. Comp. L. & Econ. 153 (2010); Geoffrey A. Manne, Error Costs in Digital Markets, 3 GAI Report on Competition in Digital Markets 33 (2020).

[25] R. H. Coase, The Problem of Social Cost, 9 J.L. & Econ. 15 (1960).

[26] Lessig, supra note 22, at 508.

[27] Call for Evidence, supra note 1.

[28] Catherine Thorbecke, What Metaverse? Meta Says Its Single Largest Investment Is Now in ‘Advancing AI’, CNN Business (Mar. 15, 2023), https://www.cnn.com/2023/03/15/tech/meta-ai-investment-priority/index.html; Ben Marlow, Mark Zuckerberg’s Metaverse Is Shattering into a Million Pieces, The Telegraph (Apr. 23, 2023), https://www.telegraph.co.uk/business/2023/04/21/mark-zuckerbergs-metaverse-shattering-million-pieces; Will Gendron, Meta Has Reportedly Stopped Pitching Advertisers on the Metaverse, BusinessInsider (Apr. 18, 2023), https://www.businessinsider.com/meta-zuckerberg-stopped-pitching-advertisers-metaverse-focus-reels-ai-report-2023-4.

[29] Mansoor Iqbal, Fortnite Usage and Revenue Statistics, Business of Apps (Jan. 9, 2023), https://www.businessofapps.com/data/fortnite-statistics; Matija Ferjan, 76 Little-Known Metaverse Statistics & Facts (2023 Data), Headphones Addict (Feb. 13, 2023), https://headphonesaddict.com/metaverse-statistics.

[30] James Batchelor, Meta’s Flagship Metaverse Horizon Worlds Struggling to Attract and Retain Users, Games Industry (Oct. 17, 2022), https://www.gamesindustry.biz/metas-flagship-metaverse-horizon-worlds-struggling-to-attract-and-retain-users; Ferjan, id.

[31] Richard Lawler, Decentraland’s Billion-Dollar ‘Metaverse’ Reportedly Had 38 Active Users in One Day, The Verge (Oct. 13, 2022), https://www.theverge.com/2022/10/13/23402418/decentraland-metaverse-empty-38-users-dappradar-wallet-data; The Sandbox, DappRadar, https://dappradar.com/multichain/games/the-sandbox (last visited May 3, 2023); Decentraland, DappRadar, https://dappradar.com/multichain/social/decentraland (last visited May 3, 2023).

[32] David J. Teece, Profiting from Technological Innovation: Implications for Integration, Collaboration, Licensing and Public Policy, 15 Research Policy 285-305 (1986), https://www.sciencedirect.com/science/article/abs/pii/0048733386900272.

[33] Geoffrey Manne & Dirk Auer, Antitrust Dystopia and Antitrust Nostalgia: Alarmist Theories of Harm in Digital Markets and Their Origins, 28 Geo. Mason L. Rev. 1279 (2021).

[34] Roblox, Wikipedia, https://en.wikipedia.org/wiki/Roblox (last visited May 3, 2023); Minecraft, Wikipedia, https://en.wikipedia.org/wiki/Minecraft (last visited May 3, 2023); Fortnite, Wikipedia, https://en.wikipedia.org/wiki/Fortnite (last visited May 3, 2023); see Fiza Chowdhury, Minecraft vs Roblox vs Fortnite: Which Is Better?, Metagreats (Feb. 20, 2023), https://www.metagreats.com/minecraft-vs-roblox-vs-fortnite.

[35]  Marc Rysman, The Economics of Two-Sided Markets, 13 J. Econ. Perspectives 134 (2009) (“First, if standards can differentiate from each other, they may be able to successfully coexist (Chou and Shy, 1990; Church and Gandal, 1992). Arguably, Apple and Microsoft operating systems have both survived by specializing in different markets: Microsoft in business and Apple in graphics and education. Magazines are an obvious example of platforms that differentiate in many dimensions and hence coexist.”).

[36] Id. at 134 (“Second, tipping is less likely if agents can easily use multiple standards. Corts and Lederman (forthcoming) show that the fixed cost of producing a video game for one more standard have reduced over time relative to the overall fixed costs of producing a game, which has led to increased distribution of games across multiple game systems (for example, PlayStation, Nintendo, and Xbox) and a less-concentrated game system market.”).

[37] What Are Fortnite, Roblox, Minecraft and Among Us? A Parent’s Guide to the Most Popular Online Games Kids Are Playing, FTC Business (Oct. 5, 2021), https://www.ftc.net/blog/what-are-fortnite-roblox-minecraft-and-among-us-a-parents-guide-to-the-most-popular-online-games-kids-are-playing; Jay Peters, Epic Is Merging Its Digital Asset Stores into One Huge Marketplace, The Verge (Mar. 22, 2023), https://www.theverge.com/2023/3/22/23645601/epic-games-fab-asset-marketplace-state-of-unreal-2023-gdc.

[38] Luke Winkie, Inside Roblox’s Criminal Underworld, Where Kids Are Scamming Kids, IGN (Jan. 2, 2023), https://www.ign.com/articles/inside-robloxs-criminal-underworld-where-kids-are-scamming-kids; Fake Minecraft Updates Pose Threat to Users, Tribune (Sept. 11, 2022), https://tribune.com.pk/story/2376087/fake-minecraft-updates-pose-threat-to-users; Ana Diaz, Roblox and the Wild West of Teenage Scammers, Polygon (Aug. 24, 2019) https://www.polygon.com/2019/8/24/20812218/roblox-teenage-developers-controversy-scammers-prison-roleplay; Rebecca Alter, Fortnite Tries Not to Scam Children and Face $520 Million in FTC Fines Challenge, Vulture (Dec. 19, 2022), https://www.vulture.com/2022/12/fortnite-epic-games-ftc-fines-privacy.html; Leonid Grustniy, Swindle Royale: Fortnite Scammers Get Busy, Kaspersky Daily (Dec. 3, 2020), https://www.kaspersky.com/blog/top-four-fortnite-scams/37896.

[39] See, generally, David Evans & Richard Schmalensee, Matchmakers: The New Economics of Multisided Platforms (Harvard Business Review Press, 2016).

[40] David S. Evans, Governing Bad Behaviour By Users of Multi-Sided Platforms, Berkley Technology Law Journal 27:2 (2012), 1201.

[41] Call for Evidence, supra note 1.

[42] Id.

[43] See Case COMP/C-3/37.792, Microsoft, OJ L 32 (May 24, 2004). See also, Case COMP/39.530, Microsoft (Tying), OJ C 120 (Apr. 26, 2013).

[44] See Complaint, Epic Games, Inc. v. Apple Inc., 493 F. Supp. 3d 817 (N.D. Cal. 2020) (4:20-cv-05640-YGR).

[45] See European Commission Press Release IP/20/1073, Antitrust: Commission Opens Investigations into Apple’s App Store Rules (Jun. 16, 2020); European Commission Press Release IP/20/1075, Antitrust: Commission Opens Investigation into Apple Practices Regarding Apple Pay (Jun. 16, 2020).

[46] See European Commission Press Release IP/18/421, Antitrust: Commission Fines Qualcomm €997 Million for Abuse of Dominant Market Position (Jan. 24, 2018); Federal Trade Commission v. Qualcomm Inc., 969 F.3d 974 (9th Cir. 2020).

[47] See European Commission Press Release IP/19/4291, Antitrust: Commission Opens Investigation into Possible Anti-Competitive Conduct of Amazon (Jul. 17, 2019).

[48] See Case AT.39740, Google Search (Shopping), 2017 E.R.C. I-379. See also, Case AT.40099 (Google Android), 2018 E.R.C.

[49] See Complaint, United States v. Google, LLC, (2020), https://www.justice.gov/opa/pr/justice-department-sues-monopolist-google-violating-antitrust-laws; see also, Complaint, Colorado et al. v. Google, LLC, (2020), available at https://coag.gov/app/uploads/2020/12/Colorado-et-al.-v.-Google-PUBLIC-REDACTED-Complaint.pdf.

[50] See, e.g., Giorgio Monti, The Digital Markets Act: Institutional Design and Suggestions for Improvement, Tillburg L. & Econ. Ctr., Discussion Paper No. 2021-04 (2021), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3797730 (“In sum, the DMA is more than an enhanced and simplified application of Article 102 TFEU: while the obligations may be criticised as being based on existing competition concerns, they are forward-looking in trying to create a regulatory environment where gatekeeper power is contained and perhaps even reduced.”) (Emphasis added).

[51] See, e.g., Aurelien Portuese, “Please, Help Yourself”: Toward a Taxonomy of Self-Preferencing, Information Technology & Innovation Foundation (Oct. 25, 2021), available at https://itif.org/sites/default/files/2021-self-preferencing-taxonomy.pdf. (“The latest example of such weaponization of self-preferencing by antitrust populists is provided by Sens. Amy Klobuchar (D-MN) and Chuck Grassley (R-IA). They introduced legislation in October 2021 aimed at prohibiting the practice.2 However, the legislation would ban self-preferencing only for a handful of designated companies—the so-called “covered platforms,” not the thousands of brick-and-mortar sellers that daily self-preference for the benefit of consumers. Mimicking the European Commission’s Digital Markets Act prohibiting self-preferencing, Senate and the House bills would degrade consumers’ experience and undermine competition, since self-preferencing often benefits consumers and constitutes an integral part, rather than an abnormality, of the process of competition.”).

[52] Efforts to saddle platforms with “non-discrimination” constraints are tantamount to mandating openness. See Geoffrey A. Manne, Against the Vertical Discrimination Presumption, Foreword, Concurrences No. 2-2020 (2020) at 2 (“The notion that platforms should be forced to allow complementors to compete on their own terms, free of constraints or competition from platforms is a species of the idea that platforms are most socially valuable when they are most ‘open.’ But mandating openness is not without costs, most importantly in terms of the effective operation of the platform and its own incentives for innovation.”).

[53] See, e.g., Klint Finley, Your Own Private Google: The Quest for an Open Source Search Engine, Wired (Jul. 12, 2021), https://www.wired.com/2012/12/solar-elasticsearch-google.

[54] See Brian Connolly, Selling on Amazon vs. eBay in 2021: Which Is Better?, JungleScout (Jan. 12, 2021), https://www.junglescout.com/blog/amazon-vs-ebay; Crucial Differences Between Amazon and eBay, SaleHOO, https://www.salehoo.com/educate/selling-on-amazon/crucial-differences-between-amazon-and-ebay (last visited Feb. 8, 2021).

[55] See, e.g., Dolby Vision Is Winning the War Against HDR10 +, It Requires a Single Standard, Tech Smart, https://voonze.com/dolby-vision-is-winning-the-war-against-hdr10-it-requires-a-single-standard (last visited June 6, 2022).

[56] On the importance of managers, see, e.g., Nicolai J Foss & Peter G Klein, Why Managers Still Matter, 56 MIT Sloan Mgmt. Rev., 73 (2014) (“In today’s knowledge-based economy, managerial authority is supposedly in decline. But there is still a strong need for someone to define and implement the organizational rules of the game.”).

[57] It is generally agreed upon that anticompetitive foreclosure is possible only when a firm enjoys some degree of market power. Frank H. Easterbrook, Limits of Antitrust, 63 Tex. L. Rev. 1, 20 (1984) (“Firms that lack power cannot injure competition no matter how hard they try. They may injure a few consumers, or a few rivals, or themselves (see (2) below) by selecting ‘anticompetitive’ tactics. When the firms lack market power, though, they cannot persist in deleterious practices. Rival firms will offer the consumers better deals. Rivals’ better offers will stamp out bad practices faster than the judicial process can. For these and other reasons many lower courts have held that proof of market power is an indispensable first step in any case under the Rule of Reason. The Supreme Court has established a market power hurdle in tying cases, despite the nominally per se character of the tying offense, on the same ground offered here: if the defendant lacks market power, other firms can offer the customer a better deal, and there is no need for judicial intervention.”).

[58] See, e.g., Josh Lerner & Jean Tirole, Some Simple Economics of Open Source, 50 J. Indus. Econ. 197 (2002).

[59] See Matthew Miller, Thanks, Samsung: Android’s Best Mobile Browser Now Available to All, ZDNet (Aug. 11, 2017), https://www.zdnet.com/article/thanks-samsung-androids-best-mobile-browser-now-available-to-all.

[60] FACT SHEET: Windows XP N Sales, RegMedia (Jun. 12, 2009), available at https://regmedia.co.uk/2009/06/12/microsoft_windows_xp_n_fact_sheet.pdf.

[61] See Case COMP/39.530, Microsoft (Tying), OJ C 120 (Apr. 26, 2013).

[62] Konstantinos Stylianou, Systemic Efficiencies in Competition Law: Evidence from the ICT Industry, 12 J. Competition L. & Econ. 557 (2016).

[63] See, e.g., Steven Sinofsky, The App Store Debate: A Story of Ecosystems, Medium (Jun. 21, 2020), https://medium.learningbyshipping.com/the-app-store-debate-a-story-of-ecosystems-938424eeef74.

[64] Id.

[65] See, e.g., Benjamin Klein, Market Power in Aftermarkets, 17 Managerial & Decision Econ. 143 (1996).

[66] See, e.g., Simon Hill, What Is Android Fragmentation, and Can Google Ever Fix It?, DigitalTrends (Oct. 31, 2018), https://www.digitaltrends.com/mobile/what-is-android-fragmentation-and-can-google-ever-fix-it.

[67] Metaverse Market Revenue Worldwide from 2022 to 2030, Statista, https://www.statista.com/statistics/1295784/metaverse-market-size (last visited May 3, 2023); Metaverse Market by Component (Hardware, Software (Extended Reality Software, Gaming Engine, 3D Mapping, Modeling & Reconstruction, Metaverse Platform, Financial Platform), and Professional Services), Vertical and Region – Global Forecast to 2027, Markets and Markets (Apr. 27, 2023), https://www.marketsandmarkets.com/Market-Reports/metaverse-market-166893905.html; see also, Press Release, Metaverse Market Size Worth $ 824.53 Billion, Globally, by 2030 at 39.1% CAGR, Verified Market Research (Jul. 13, 2022), https://www.prnewswire.com/news-releases/metaverse-market-size-worth–824-53-billion-globally-by-2030-at-39-1-cagr-verified-market-research-301585725.html.

[68] See, e.g., Megan Farokhmanesh, Will the Metaverse Live Up to the Hype? Game Developers Aren’t Impressed, Wired (Jan. 19, 2023), https://www.wired.com/story/metaverse-video-games-fortnite-zuckerberg; see also Mitch Wagner, The Metaverse Hype Bubble Has Popped. What Now?, Fierce Electronics (Feb. 24, 2023), https://www.fierceelectronics.com/embedded/metaverse-hype-bubble-has-popped-what-now.

[69] Call for Evidence, supra note 1.

[70] Garret A. Johnson, et al., Privacy and Market Concentration: Intended and Unintended Consequences of the GDPR, Forthcoming Management Science 1 (2023).

[71] Jian Jia, et al., The Short-Run Effects of GDPR on Technology Venture Investment, NBER Working Paper 25248, 4 (2018), available at https://www.nber.org/system/files/working_papers/w25248/w25248.pdf.

[72] Samuel G. Goldberg, Garrett A. Johnson, & Scott K. Shriver, Regulating Privacy Online: An Economic Evaluation of GDPR (2021), available at https://www.ftc.gov/system/files/documents/public_events/1588356/johnsongoldbergshriver.pdf.

[73] Rebecca Janßen, Reinhold Kesler, Michael Kummer, & Joel Waldfogel, GDPR and the Lost Generation of Innovative Apps, Nber Working Paper 30028, 2 (2022), available at https://www.nber.org/system/files/working_papers/w30028/w30028.pdf.

[74] Rajkumar Venkatesan, S. Arunachalam & Kiran Pedada, Short Run Effects of Generalized Data Protection Act on Returns from AI Acquisitions, University of Virginia Working Paper 6 (2022), available at: https://conference.nber.org/conf_papers/f161612.pdf. (“On average, GDPR exposure reduces the ROA of firms. We also find that GDPR exposure increases the ROA of firms that make AI acquisitions for improving customer experience, and cybersecurity. Returns on AI investments in innovation and operational efficiencies are unaffected by GDPR.”)

[75] For a detailed discussion of the empirical literature concerning the GDPR, see Garrett Johnson, Economic Research on Privacy Regulation: Lessons From the GDPR And Beyond, NBER Working Paper 30705 (2022), available at https://www.nber.org/system/files/working_papers/w30705/w30705.pdf.

Written Testimonies & Filings

The Digital Markets Act and EU Antitrust Enforcement: Double & Triple Jeopardy

Executive Summary

In contrast to its stated aims to promote a Digital Single Market across the European Union, the proposed Digital Markets Act (DMA) could serve to fragment Europe’s legal framework even further, largely due to overlaps with competition law. This paper provides an analytical overview of areas where conflicts would inevitably arise from dual application of the DMA and European and national-level antitrust rules. It counsels full centralization of the DMA’s enforcement at the EU level to avoid further fragmentation, as well as constraining the law’s scope by limiting its application to a few large platform ecosystems.

Introduction

The Digital Markets Act (DMA) has entered the last and decisive stage of its approval process. With the Council of Europe having reached consensus on its general approach[1] and the European Parliament having adopted amendments,[2] the DMA proposal has moved into the inter-institutional negotiations known as the so-called “trilogue.”

The DMA has spurred a lively debate since it initially was proposed by the European Commission in December 2020.[3] This deliberative process has touched on all the proposal’s features, including its aims and scope, the regulations and rule-based approach it would adopt, and the measure’s institutional design. However, given the positions expressed by the Council and the Parliament, the rationale for DMA intervention and the proposal’s relationship with antitrust law remain relevant topics for exploration.

The DMA is grounded explicitly on the notion that competition law alone is insufficient to effectively address the challenges and systemic problems posed by the digital platform economy. Indeed, the scope of antitrust is limited to certain instances of market power (e.g., dominance on specific markets) and of anti-competitive behavior.[4] Further, its enforcement occurs ex post and requires extensive investigation on a case-by-case basis of what are often very complex sets of facts.[5] Moreover, it may not effectively address the challenges to well-functioning markets posed by the conduct of gatekeepers, who are not necessarily dominant in competition-law terms.[6] As a result, proposals such as the DMA invoke regulatory intervention to complement traditional antitrust rules by introducing a set of ex ante obligations for online platforms designated as gatekeepers. This also allows enforcers to dispense with the laborious process of defining relevant markets, proving dominance, and measuring market effects.

The DMA’s framers declare that the law aims to protect different legal interests than antitrust rules do. That is, rather than seeking to protect undistorted competition on any given market, the DMA look to ensure that markets where gatekeepers are present remain contestable and fair, independent from the actual, likely, or presumed effects of the conduct of a given gatekeeper.[7] Accordingly, the relevant legal basis for the DMA is found not in Article 103 of the Treaty on the Functioning of the European Union (TFEU), which is intended to implement antitrust rules pursuant to Articles 101 and 102 TFEU, but rather in Article 114 TFEU, covering “Common Rules on Competition, Taxation and Approximation of Laws.” Further, from an institutional-design perspective, the DMA opts for centralized implementation and enforcement at the EU level, rather than the traditional decentralized or parallel antitrust enforcement at the national level.

Because the intent of the DMA is to serve as a complementary regulatory scheme, traditional antitrust rules will remain applicable. However, those rules would not alleviate the obligations imposed on gatekeepers under the forthcoming DMA regulations and, particularly, efforts to make the DMA’s application uniform and effective.[8]

Despite claims that the DMA is not an instrument of competition law[9] and thus would not affect how antitrust rules apply in digital markets, the forthcoming regime appears to blur the line between regulation and antitrust by mixing their respective features and goals. Indeed, the DMA shares the same aims and protects the same legal interests as competition law.[10] Further, its list of prohibitions is effectively a synopsis of past and ongoing antitrust cases.[11] Therefore, the proposal can be described as a sector-specific competition law,[12] or a shift toward a more regulatory approach to competition law—one that is designed to allow assessments to be made more quickly and through a more simplified process.[13]

Acknowledging the continuum between competition law and the DMA, the European Competition Network (ECN) and some EU member states (self-anointed “friends of an effective DMA”) have proposed empowering national competition authorities (NCAs) to enforce DMA obligations.[14] Under this approach, while the European Commission would remain primarily responsible for enforcing the DMA and would have sole jurisdiction for designating gatekeepers or granting exemptions, NCAs would be permitted to enforce the DMA’s obligations and to use investigative and monitoring powers at their own initiative. According to supporters of this approach, the concurrent competence of the Commission and NCAs is needed to avoid the risks of conflicting decisions or remedies that would undermine the effectiveness and coherence of both the DMA and antitrust law (and, ultimately, the integrity of the internal market.)[15]

These risks have been heightened by the fact that Germany (one of the “friends of an effective DMA”) subsequently empowered its NCA, the Bundeskartellamt, to intervene at an early stage in cases where it finds that competition is threatened by large digital companies—in essence, granting the agency a regulatory tool that is functionally equivalent to the DMA.[16] Further, several member states are preparing to apply national rules on relative market power and economic dependence to large digital platforms, with the goal of correcting perceived imbalances of bargaining power between online platforms and business users.[17] As a result of these intersections among the DMA, national and European antitrust rules, and national laws on superior bargaining power, a digital platform may be subject to cumulative proceedings for the very same conduct, facing risks of double (or even triple and quadruple) jeopardy.[18]

The aim of this paper is to guide the reader through the jungle of potentially overlapping rules that will affect European digital markets in the post-DMA world. It attempts to demonstrate that, despite significant concerns about both the DMA’s content and its rationale, full centralization of its enforcement at EU level will likely be needed to reduce fragmentation and ensure harmonized implementation of the rules. Frictions with competition law would be further confined by narrowing the DMA’s scope to ecosystem-related issues, thereby limiting its application to the few large platforms that are able to orchestrate an ecosystem.

The paper is structured as follows. Section II analyzes the intersection between the DMA and competition law. Section III examines the DMA’s enforcement structure and the solutions advanced to safeguard cooperation and coordination with member states. Section IV illustrates the arguments supporting full centralization of DMA enforcement and the need to narrow its scope. Section V concludes.

Read the full white paper here.

[1] Proposal for a Regulation of the European Parliament and of the Council on Contestable and Fair Markets on the Digital Sector (Digital Markets Act) – General Approach, Council of the European Union (Nov. 16, 2021), available at https://data.consilium.europa.eu/doc/document/ST-13801-2021-INIT/en/pdf.

[2] Amendments Adopted on the Proposal for a Regulation of the European Parliament and of the Council on Contestable and Fair Markets in the Digital Sector (Digital Markets Act), European Parliament (Dec. 15, 2021), https://www.europarl.europa.eu/doceo/document/TA-9-2021-12-15_EN.html.

[3] Proposal for a Regulation on Contestable and Fair Markets in the Digital Sector (Digital Markets Act), European Commission (Dec. 15, 2020), available at https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52020PC0842&from=en.

[4] Ibid., Recital 5.

[5] Ibid.

[6] Ibid.

[7] Ibid., Recital 10.

[8] Ibid., Recital 9 and Article 1(5).

[9] Margrethe Vestager, Competition in a Digital Age, speech to the European Internet Forum (Mar. 17, 2021), https://ec.europa.eu/commission/commissioners/2019-2024/vestager/announcements/competition-digital-age_en.

[10] Heike Schweitzer, The Art to Make Gatekeeper Positions Contestable and the Challenge to Know What Is Fair: A Discussion of the Digital Markets Act Proposal, 3 ZEuP 503 (Jun. 11, 2021).

[11] Cristina Caffarra and Fiona Scott Morton, The European Commission Digital Markets Act: A Translation, Vox EU (Jan. 5, 2021), https://voxeu.org/article/european-commission-digital-markets-act-translation.

[12] Nicolas Petit, The Proposed Digital Markets Act (DMA): A Legal and Policy Review, 12 J. Eur. Compet. Law Pract 529 (May 11, 2021).

[13] Marco Cappai and Giuseppe Colangelo, Taming Digital Gatekeepers: The More Regulatory Approach to Antitrust Law, 41 Comput. Law Secur. Rev. 1 (Apr. 9, 2021).

[14] How National Competition Agencies Can Strengthen the DMA, European Competition Network (Jun. 22, 2021), available at https://ec.europa.eu/competition/ecn/DMA_joint_EU_NCAs_paper_21.06.2021.pdf; Strengthening the Digital Markets Act and Its Enforcement, German Federal Ministry for Economic Affairs and Energy, French Ministére de l’Économie, les Finance et de la Relance, Dutch Ministry of Economic Affairs and Climate Policy, (May 27, 2021), available at https://www.bmwi.de/Redaktion/DE/Downloads/XYZ/zweites-gemeinsames-positionspapier-der-friends-of-an-effective-digital-markets-act.pdf?__blob=publicationFile&v=4.

[15] European Competition Network, supra note 14, 6-7.

[16] See Section 19a of the GWB Digitalization Act (Jan. 18, 2021), https://www.bundesrat.de/SharedDocs/beratungsvorgaenge/2021/0001-0100/0038-21.html.

[17] See, e.g., German GWB Digitalization Act, supra note 16; See, also, Belgian Royal Decree of 31 July 2020 Amending Books I and IV of the Code of Economic Law as Concerns the Abuse of Economic Dependence, Belgian Official Gazette (Jul. 19, 2020), http://www.ejustice.just.fgov.be/cgi_loi/change_lg.pl?language=fr&la=F&cn=2019040453&table_name=loi.

[18] Marco Cappai and Giuseppe Colangelo, A Unified Test for the European Ne Bis in Idem Principle: The Case Study of Digital Markets Regulation, SSRN working paper (Oct. 27, 2021), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3951088.

ICLE White Paper

Antitrust Dystopia and Antitrust Nostalgia: Alarmist Theories of Harm in Digital Markets and Their Origins

Introduction

The dystopian novel is a powerful literary genre. It has given us such masterpieces as Nineteen Eighty-Four, Brave New World, Fahrenheit 451, and Animal Farm. Though these novels often shed light on some of the risks that contemporary society faces and the zeitgeist of the time when they were written, they almost always systematically overshoot the mark (whether intentionally or not) and severely underestimate the radical improvements commensurate with the technology (or other causes) that they fear. Nineteen Eighty-Four, for example, presciently saw in 1949 the coming ravages of communism, but it did not guess that markets would prevail, allowing us all to live freer and more comfortable lives than any preceding generation. Fahrenheit 451 accurately feared that books would lose their monopoly as the foremost medium of communication, but it completely missed the unparalleled access to knowledge that today’s generations enjoy. And while Animal Farm portrayed a metaphorical world where increasing inequality is inexorably linked to totalitarianism and immiseration, global poverty has reached historic lows in the twenty-first century, and this is likely also true of global inequality. In short, for all their literary merit, dystopian novels appear to be terrible predictors of the quality of future human existence. The fact that popular depictions of the future often take the shape of dystopias is more likely reflective of the genre’s entertainment value than of society’s impending demise.

But dystopias are not just a literary phenomenon; they are also a powerful force in policy circles. For example, in the early 1970s, the so-called Club of Rome published an influential report titled The Limits to Growth. The report argued that absent rapid and far-reaching policy shifts, the planet was on a clear path to self-destruction:

If the present growth trends in world population, industrialization, pollution, food production, and resource depletion continue unchanged, the limits to growth on this planet will be reached sometime within the next one hundred years. The most probable result will be a rather sudden and uncontrollable decline in both population and industrial capacity.

Halfway through the authors’ 100-year timeline, however, available data suggests that their predictions were way off the mark. While the world’s economic growth has continued at a breakneck pace, extreme poverty, famine, and the depletion of natural resources have all decreased tremendously.

For all its inaccurate and misguided predictions, dire tracts such as The Limits to Growth perhaps deserve some of the credit for the environmental movements that followed. But taken at face value, the dystopian future along with the attendant policy demands put forward by works like The Limits to Growth would have had cataclysmic consequences for, apparently, extremely limited gain. The policy incentive is to strongly claim impending doom. There’s no incentive to suggest “all is well,” and little incentive even to offer realistic, caveated predictions.

As we argue in this Article, antitrust scholarship and commentary is also afflicted by dystopian thinking. Today, antitrust pessimists have set their sights predominantly on the digital economy—“big tech” and “big data”—alleging a vast array of potential harms. Scholars have argued that the data created and employed by the digital economy produces network effects that inevitably lead to tipping and more concentrated markets. In other words, firms will allegedly accumulate insurmountable data advantages and thus thwart competitors for extended periods of time. Some have gone so far as to argue that this threatens the very fabric of western democracy. Other commentators have voiced fears that companies may implement abusive privacy policies to shortchange consumers. It has also been said that the widespread adoption of pricing algorithms will almost inevitably lead to rampant price discrimination and algorithmic collusion. Indeed, “pollution” from data has even been likened to the environmental pollution that spawned The Limits to Growth: “If indeed ‘data are to this century what oil was to the last one,’ then—[it’s] argue[d]—data pollution is to our century what industrial pollution was to the last one.”

Some scholars have drawn explicit parallels between the emergence of the tech industry and famous dystopian novels. Professor Shoshana Zuboff, for instance, refers to today’s tech giants as “Big Other.” In an article called “Only You Can Prevent Dystopia,” one New York Times columnist surmised:

The new year is here, and online, the forecast calls for several seasons of hell. Tech giants and the media have scarcely figured out all that went wrong during the last presidential election—viral misinformation, state-sponsored propaganda, bots aplenty, all of us cleaved into our own tribal reality bubbles—yet here we go again, headlong into another experiment in digitally mediated democracy.

I’ll be honest with you: I’m terrified . . . There’s a good chance the internet will help break the world this year, and I’m not confident we have the tools to stop it.

Parallels between the novel Nineteen Eighty-Four and the power of large digital platforms were also plain to see when Epic Games launched an antitrust suit against Apple and its App Store in August 2020. Indeed, Epic Games released a short video clip parodying Apple’s famous “1984” ad (which upon its release was itself widely seen as a critique of the tech incumbents of the time).

Similarly, a piece in the New Statesman, titled “Slouching Towards Dystopia: The Rise of Surveillance Capitalism and the Death of Privacy,” concluded that: “Our lives and behaviour have been turned into profit for the Big Tech giants—and we meekly click ‘Accept.’ How did we sleepwalk into a world without privacy?”

Finally, a piece published in the online magazine Gizmodo asked a number of experts whether we are “already living in a tech dystopia.” Some of the responses were alarming, to say the least:

I’ve started thinking of some of our most promising tech, including machine learning, as like asbestos: … it’s really hard to account for, much less remove, once it’s in place; and it carries with it the possibility of deep injury both now and down the line.

. . . .

We live in a world saturated with technological surveillance, democracy-negating media, and technology companies that put themselves above the law while helping to spread hate and abuse all over the world.

Yet the most dystopian aspect of the current technology world may be that so many people actively promote these technologies as utopian.

Antitrust pessimism is not a new phenomenon, and antitrust enforcers and scholars have long been fascinated with—and skeptical of—high tech markets. From early interventions against the champions of the Second Industrial Revolution (oil, railways, steel, etc.) through the mid-twentieth century innovations such as telecommunications and early computing (most notably the RCA, IBM, and Bell Labs consent decrees in the US) to today’s technology giants, each wave of innovation has been met with a rapid response from antitrust authorities, copious intervention-minded scholarship, and waves of pessimistic press coverage. This is hardly surprising given that the adoption of antitrust statutes was in part a response to the emergence of those large corporations that came to dominate the Second Industrial Revolution (despite the numerous radical innovations that these firms introduced in the process). Especially for unilateral conduct issues, it has long been innovative firms that have drawn the lion’s share of cases, scholarly writings, and press coverage.

Underlying this pessimism is a pervasive assumption that new technologies will somehow undermine the competitiveness of markets, imperil innovation, and entrench dominant technology firms for decades to come. This is a form of antitrust dystopia. For its proponents, the future ushered in by digital platforms will be a bleak one—despite abundant evidence that information technology and competition in technology markets have played significant roles in the positive transformation of society. This tendency was highlighted by economist Ronald Coase:

[I]f an economist finds something—a business practice of one sort or another—that he does not understand, he looks for a monopoly explanation. And as in this field we are very ignorant, the number of ununderstandable practices tends to be rather large, and the reliance on a monopoly explanation, frequent.

“The fear of the new—and the assumption that ‘ununderstandable practices’ emerge from anticompetitive impulses and generate anticompetitive effects—permeates not only much antitrust scholarship, but antitrust doctrine as well.” While much antitrust doctrine is capable of accommodating novel conduct and innovative business practices, antitrust law—like all common law-based legal regimes—is inherently backward looking: it primarily evaluates novel arrangements with reference to existing or prior structures, contracts, and practices, often responding to any deviations with “inhospitality.” As a result, there is a built-in “nostalgia bias” throughout much of antitrust that casts a deeply skeptical eye upon novel conduct.

“The upshot is that antitrust scholarship often emphasizes the risks that new market realities create for competition, while idealizing the extent to which previous market realities led to procompetitive outcomes.” Against this backdrop, our Article argues that the current wave of antitrust pessimism is premised on particularly questionable assumptions about competition in data-intensive markets.

Part I lays out the theory and identifies the sources and likely magnitude of both the dystopia and nostalgia biases. Having examined various expressions of these two biases, the Article argues that their exponents ultimately seek to apply a precautionary principle within the field of antitrust enforcement, made most evident in critics’ calls for authorities to shift the burden of proof in a subset of proceedings.

Part II discusses how these arguments play out in the context of digital markets. It argues that economic forces may undermine many of the ills that allegedly plague these markets—and thus the case for implementing a form of precautionary antitrust enforcement. For instance, because data is ultimately just information, it will prove exceedingly difficult for firms to hoard data for extended periods of time. Instead, a more plausible risk is that firms will underinvest in the generation of data. Likewise, the main challenge for digital economy firms is not so much to obtain data, but to create valuable goods and hire talented engineers to draw insights from the data these goods generate. Recent empirical findings suggest, for example, that data economy firms don’t benefit as much as often claimed from data network effects or increasing returns to scale.

Part III reconsiders the United States v. Microsoft Corp. antitrust litigation—the most important precursor to today’s “big tech” antitrust enforcement efforts—and shows how it undermines, rather than supports, pessimistic antitrust thinking. It shows that many of the fears that were raised at the time didn’t transpire (for reasons unrelated to antitrust intervention). Rather, pessimists missed the emergence of key developments that greatly undermined Microsoft’s market position, and greatly overestimated Microsoft’s ability to thwart its competitors. Those circumstances—particularly revolving around the alleged “applications barrier to entry”—have uncanny analogues in the data markets of today. We thus explain how and why the Microsoft case should serve as a cautionary tale for current enforcers confronted with dystopian antitrust theories.

In short, the Article exposes a form of bias within the antitrust community. Unlike entrepreneurs, antitrust scholars and policy makers often lack the imagination to see how competition will emerge and enable entrants to overthrow seemingly untouchable incumbents. New technologies are particularly prone to this bias because there is a shorter history of competition to go on and thus less tangible evidence of attrition in these specific markets. The digital future is almost certainly far less bleak than many antitrust critics have suggested and yet the current swath of interventions aimed at reining in “big tech” presume. This does not mean that antitrust authorities should throw caution to the wind. Instead, policy makers should strive to maintain existing enforcement thresholds, which exclude interventions that are based solely on highly speculative theories of harm.

Read the full white paper here.

Scholarship (ICLE)

When Presumptions Replace Proof

DCRs rest on a questionable premise: that the economy, democracy, or society would benefit if enforcers could win competition cases in digital markets more easily. To that end, these regimes build in presumptions of anticompetitive harm and deny firms a meaningful chance to rebut them. Per se bans on self-preferencing illustrate the problem. Platforms can self-preference in ways that are benign—or even procompetitive—but DCRs treat the practice as inherently harmful. These presumptions heighten the risk of government failure and false positives, weaken due-process protections, and invite costly, unnecessary litigation.

Confronting the DMA’s Shaky Suppositions

It’s easy for politicians to make unrealistic promises. Indeed, without a healthy skepticism on the part of the public, they can grow like weeds. In the world of digital policy, the European Union’s Digital Markets Act (DMA) has proven fertile ground for just such promises. We’ve been told that large digital platforms are the source of many economic and social ills, and that handing more discretionary power to the government can solve these problems with no apparent side effects or costs.

Read the full piece here.

TOTM

Interpreting the EU Digital Markets Act Consistently with the EU Charter’s Rights to Privacy and Protection of Personal Data

Abstract

Depending on implementation details, the EU Digital Markets Act (DMA) may have negative consequences regarding information privacy and security. The DMA’s interoperability mandates are a chief example of this problem. Some of the DMA’s provisions that pose risks to privacy and to the protection of personal data are accompanied either by no explicit safeguards or by insufficient safeguards. The question is then: how to interpret the DMA consistently with Articles 7-8 of the EU Charter of Fundamental Rights which ground the rights to privacy and the protection of personal data? Using the example of the prohibition on restricting users from switching and subscribing to third-party software and services (Article 6(6) DMA), I show that Charter-compatible interpretation of the DMA may depart from the intentions of the DMA’s drafters and even be perceived by some as significantly limiting the effectiveness of the DMA’s primary tools. However, given that—unlike the GDPR—the Charter takes precedence over a mere regulation like the DMA, such policy objections may have limited legal import. Thus, the true legal norms (legal content) of the DMA may be different than what a superficial reading of the text could suggest or, indeed, what the drafters hoped to achieve.

Scholarship (ICLE)

How the New Interoperability Mandate Could Violate the EU Charter

Among the regulatory tools created by the European Union’s Digital Markets Act (DMA)—landmark competition legislation that took effect across the EU last November—is a mandate that the largest digital-messaging services must be made interoperable. In the name of promoting fairness in digital markets, these gatekeeper services are asked to allow external services to connect with them, enabling new and smaller players to compete.

Read the full piece here.

Popular Media (ICLE)

Enforcing the DMA is Easier Said Than Done: Evidence From the Commission’s Draft Template for DMA Compliance Reports

The European Commission early last month published its draft template for DMA-compliance reports. This is the document that gatekeepers will periodically need to fill out, and which subsequently will be used to determine whether they comply with the European Union’s Digital Markets Act (DMA).

Read the full piece here.

TOTM

Fixing the Procedural Infirmities in the DMA’s Draft Implementing Regulation

Just before Christmas, the European Commission published a draft implementing regulation (DIR) of the Digital Markets Act (DMA), establishing procedural rules that, in the Commission’s own words, seek to bolster “legal certainty,” “due process,” and “effectiveness” under the DMA. The rights of defense laid down in the draft are, alas, anemic. In the long run, this will leave the Commission’s DMA-enforcement decisions open to challenge on procedural grounds before the Court of Justice of the European Union (CJEU).

Read the full piece here.

TOTM

Implementing the DMA: Great Power Requires Great Procedural Safeguards

Background…

In December 2022, the European Commission launched a public consultation on the regulation to implement the Digital Markets Act, including how the DMA will be enforced procedurally. Among the issues the regulation covers are parties’ rights to be heard, firms’ deadlines to submit documents to the Commission, access to those documents and to the Commission’s case file, and how confidentiality will be protected.

However…

While reasonable people may disagree about the merits of digital-markets regulation, appropriate procedural rules that safeguard parties’ rights and create legal certainty are essential. The timing, background, and content of the Implementing Regulation, however, all raise legitimate concerns and underscore broader issues in the DMA.

Read the full explainer here.

TL;DR

Protecting Competitors, Not Consumers

Digital competition regulations abandon a core antitrust principle: the law should protect competition, not competitors. Unlike traditional competition law, DCRs do not center consumer welfare.

The EU’s Digital Markets Act illustrates the problem. Its prohibitions, obligations, and exemptions do not turn on likely effects on consumers. Other jurisdictions, such as the UK, gesture toward consumer impact but flip the burden of proof and demand an unusually high showing of consumer benefit—often requiring firms to prove that a practice is “indispensable,” a standard few can meet in practice.

These choices risk leaving consumers worse off, with less innovative products, weaker privacy and security, and higher prices. Early experience under the DMA already points in that direction, with users reporting degraded online services.

Living Dangerously: The DMA and the Challenge of Balancing Competition and Cybersecurity

As the Digital Markets Act (DMA) enters its implementation phase, the European Commission is investigating whether the proposed solutions of dominant tech firms (gatekeepers) comply with the mandates of the DMA. However, this process is unearthing new concerns about potential side effects and unintended consequences. One such concern is that pro-competition measures could weaken platform integrity and security, exposing end users to data breaches, scams, and privacy risks. Further, the topic is highly sensitive due to its potential geopolitical implications.

However, this debate is inevitable, as DMA mandates aim to promote fair access by opening up gatekeepers’ ecosystems, particularly app stores. The requirements include supporting sideloading (letting users install apps outside the app store), interoperability requirements (requiring smooth integration with third-party services), and obligations to remove anti-steering restrictions (allowing businesses to directly communicate with end users, promote offers, and enter into contracts with them, without going through the gatekeeper).

Against this backdrop, to mitigate the growing risk of polarisation – which has at times affected even academic discussions – it may be useful to identify common ground and outline reasonable principles to guide policymakers in addressing these complex challenges.

Summary:

  • Risks to platform integrity and security are emerging as significant concerns in the implementation of the Digital Markets Act (DMA).
  • Since policymaking involves trade-offs, the European Commission should assess whether the solutions proposed by gatekeepers align with the goal of fostering competition while maintaining an adequate level of security, ultimately achieving a constrained optimum.
  • When evaluating gatekeepers’ technical implementations, it is crucial to account for the substantial differences in their business models.
  • Due to information asymmetry between regulators and targeted companies, achieving a proper balance between competition and security requires the active involvement of gatekeepers.
  • The experience of initiatives like Open Banking demonstrates that it is possible to promote competition without compromising security.
Scholarship (Affiliate)

The DMA’s Challenge to User Safety: Lessons from Apple’s Porn App Controversy

Arecent controversy over pornographic apps being downloaded to iPhones in the European Union illustrates a fundamental tension in the EU’s Digital Markets Act (DMA): the conflict between mandated openness and established user-safety expectations.

While the DMA aims to promote competition and user choice, the recent case of the pornographic-video app Hot Tub, distributed to iPhone users through the third-party app store AltStore PAL, demonstrates how improper application of the regulation can compromise the user-safety mechanisms upon which consumers have come to rely.

Read the full piece here.

TOTM

Comments of ICLE to Commission Consultation on Proposed Measures for Interoperability Between Apple’s iOS Operating System and Connected Devices (DMA.100203)

Introduction

We appreciate the opportunity to respond to the European Commission’s Consultation on the Proposed Measures for Interoperability Between Apple’s iOS Operating System and Connected Devices (DMA.100203).

The Commission’s enforcement of Article 6(7) of the Digital Markets Act (DMA) has brought Apple’s iOS ecosystem under scrutiny. This provision mandates that designated operating systems and virtual assistants must ensure “effective interoperability” with third-party devices and services.

Unfortunately, while the provision is designed to benefit competition, that outcome is far from certain in the case at-hand. Indeed, as we explain in our comments, the maximalist vision of enforcement the Commission is contemplating poses grave risks to user security, the user experience, and innovation, with few countervailing benefits to competition. Apple’s iOS ecosystem is routinely praised for its integration and user safety, but both it and its users now face enhanced risks that stem from the Commission’s proposal for forced interoperability under the DMA.

Against this backdrop, these comments aim to highlight the potentially adverse effects of the Commission’s interpretation of Article 6(7). Specifically, they address: (i) the security risks associated with mandating far-reaching open access to iOS’s key features (as opposed to a more surgical approach); (ii) the economic and consumer implications of undermining the tightly integrated iOS ecosystem; and (iii) alternative and more balanced approaches to achieve interoperability without sacrificing user safety, impairing the user experience, or slowing innovation.

In short, we argue that it is possible to achieve the DMA’s goals while avoiding the harmful outcomes for European consumers and the tech ecosystem that are virtually inevitable under the approach the Commission currently envisions.

I. Background on Article 6(7) of the DMA

Article 6(7) of the DMA introduces a legal obligation for gatekeepers such as Apple to ensure “effective interoperability” between their operating systems and third-party devices and services, so long as this does not “compromise the integrity of the operating system”.[1]

The underlying rationale is to foster competition by granting smaller competitors access to ecosystems that traditionally have been closed or tightly controlled. While this principle has some intuitive appeal, its application to highly integrated and security-conscious systems like iOS raises significant questions about its practicality and potential downsides, especially when policymakers opt for an exceedingly narrow interpretation of the security justifications offered by the DMA.

Implementing the interoperability requirements outlined in Article 6(7) for iOS presents a series of intricate technical and operational challenges. One major issue stems from the fact that many core features of iOS—such as near-field communication (NFC) capabilities and background application activity—are deliberately designed to be locked down. These features play a critical role in ensuring both the system’s security and the seamless performance users have come to expect from Apple devices. As we explain below, allowing third parties entirely unfettered access to these sensitive functions would fundamentally alter iOS’s security architecture, introducing potential vulnerabilities that could lead to serious breaches of user data, unauthorized financial transactions, and other malicious activities.

Moreover, interoperability at the scale envisioned by the DMA would require significant technical investment to establish and maintain secure and reliable communication protocols between iOS and third-party systems. The development of such standards is inherently complex, demanding extensive collaboration among stakeholders, rigorous testing, and ongoing oversight to address emerging threats and to ensure a consistent user experience. Yet the current DMA framework lacks clear guidelines or mechanisms to facilitate such a process, leaving a critical gap in its enforcement strategy. In short, as we have argued elsewhere, the Commission needs to give gatekeepers (including Apple) more time to design and market test remedies that achieve an appropriate balance between the DMA’s competition-related goals and the protection of user security.

II. Are the Proposed Measures ‘Necessary and Proportionate’?

Under the principle of proportionality, Commission decisions must not go beyond what is “necessary to achieve the desired end”.[2] Furthermore, to comply with Article 6(7) of the DMA, the Commission must also allow “necessary and proportionate” departures from full interoperability. As a result, in the case at-hand, it must ask whether it is necessary to force unlimited interoperability between the Apple OS and third-party devices (as opposed to the DMA’s requirement of “effective” interoperability) in order to promote more “contestability and fairness” in digital markets.

In that regard, it is important to consider that market competition already provides significant interoperability between Apple and third-party devices. As a producer of complementary products (e.g., both smartphones like the iPhone and wireless headphones like Airpods), Apple may have the ability—and may appear to have incentive—to completely foreclose third-party products in order to maximize the sale of its own products. These incentives, however, are mitigated by the fact that at least some consumers want to use other brands.

Admittedly, Apple does have some market power, and there is some “stickiness” to its ecosystem. But it is misguided to view this “stickiness” as a problem. Rather, because it arises from Apple’s integrated product design—its efforts to ensure that its products “work seamlessly together” to create “a magical experience” for users[3]—“stickiness”, in this context, is simply another way of describing features that better satisfy consumer demand. These efforts are a function of competition: Apple competes with Android to (among other things) provide consumers with the most integrated and most comfortable smartphone ecosystem.

But a non-negligible share of users prefer and use other brands, such as headphones from Sony, Sennheiser, Bose, and JBL, among innumerable others. Sophisticated audiophiles may prefer high-fidelity headphones; frequent travelers may prefer headphones with the best noise-canceling features, etc. Apple’s headphones, while apparently suitable for most people, may not satisfy all of these diverse consumer preferences. Thus, in response to such preferences, Apple not only allows these competing products to work with its own devices, but it also provides some enhanced connectivity/interoperability features that allow these devices to operate with much of the same core functionality as Apple’s own offerings. Apple products of course, have the best (“full”) interoperability: e.g., pairing is more seamless, and more information is displayed, sometimes automatically. But the differences are largely trivial. See, for instance, how the iPhone displays information about Airpods’ pairing and battery (Figure 1).

Figure 1: Airpods Pro Information Automatically Displayed on iOS

Source: Beebom[4]

That precise display isn’t available for other headphones. But other manufacturers’ products enjoy similar features, replicating the core functionality of Apple’s headphones. Once paired with an iPhone, for instance, most headphones can connect automatically to the smartphone. Information about the headphones’ battery, AirPlay, and other connectivity options are also easily accessible. See, for instance, how iOS displays information about the JBL Tune 700BT Headphones (Figure 2).

Figure 2: Third-Party Headphones Displayed on iOS

It is also possible to download third-party apps (from Sony, JBL, and Bose, for example) that allow a wider range of controls and provide more information about the devices.[5] The same is true of fitness trackers and other wearables.[6]

While this is not exactly the same treatment that Apple provides its own devices, it is difficult to see why the operation of such features must be identical to facilitate competition. Indeed, as noted, these third-party devices differ from Apple’s on many dimensions. It is unclear why differentiation on, say, battery display obviates the “contestability” engendered by Apple allowing third-party headphones with, say, higher sound quality or better waterproofing to connect with its devices.

Regardless, Apple quite clearly provides more than sufficient connectivity to allow users to try third-party devices, get more information about them, and to keep using them, if that is their preference. Considering that these devices do not entail significant switching costs and that consumers can and do readily “multi-home” (i.e., use AirPods while jogging, or JBL or Bose headphones for work purposes), the user experience that Apple provides facilitates considerable “contestability” and provides third-party manufacturers a manifestly fair chance to compete.

This matters, because Article 6(7) of the DMA tolerates limits to full interoperability where they are necessary and proportionate to protect “the integrity” of operating systems, software, and hardware.[7] The DMA therefore contemplates a weighing process, under which trivial limits to interoperability (which, as explained above, is the case here) are legal if they are necessary to preempt larger harms to the ecosystem (which, as explained below, would be a consequence of the Commission’s proposed measures). In other words, mandating full interoperability in this case, as the Commission seeks to do, would provide almost no additional benefits to third parties, but entail significant risks and costs for consumers. Given this, the Commission must permit small departures from full interoperability where they are both necessary and proportionate.

III. Risks of Forced Interoperability

Unfortunately, the trivial competitive benefits that might be achieved by the Commission’s proposed measures would come at a significant cost to European consumers.

The Commission’s preliminary findings suggest an expansive interpretation of Article 6(7), advocating for opening APIs and features broadly without sufficient regard for the consequences.[8] But this maximalist approach risks overwhelming gatekeepers (including Apple) with compliance requirements, diverting resources away from innovation, and potentially delaying the introduction of new features.

Furthermore, the indiscriminate nature of this enforcement could exacerbate users’ security risks, as third-party developers may lack the incentives or capabilities to match Apple’s stringent security standards. The combination of increased vulnerabilities and a slower pace of innovation threatens to undermine consumer welfare—and even to reduce the benefits to third-party rivals of platform connectivity.

A. Compromised User Security

The forced interoperability proposed under Article 6(7) introduces significant risks to user security. Many of the features targeted for interoperability—such as devices’ NFC capabilities and wireless-file-transfer functionalities like AirDrop—are integral to the iOS ecosystem’s security infrastructure. These features were designed with stringent safeguards to prevent unauthorized access and to ensure that users’ sensitive information remains protected. By mandating that third-party developers gain access to these APIs and functionalities, the Commission’s approach would create opportunities for exploitation by malicious actors.

Requiring Apple to offer third-party developers unrestricted access to NFC functionalities could facilitate skimming attacks and other forms of unauthorized transactions.[9] A piece published on the NordVPN blog lists 10 security risks associated with the improper use of, and unbridled access to, smartphones’ NFC chips.[10] One such risk is that NFC prompts may be used to trigger the download and installation of malware—a risk further compounded by the DMA’s requirement that iOS users be allowed to sideload applications.[11] Mandating access to the NFC chip also increases the likelihood of relay attacks (where NFC information is intercepted by a third party), because NFC interoperability information and protocols will be made public.

Much the same can be said about mandating third-party access to iOS’s AirDrop functionality. Again, according to NordVPN, AirDrop presents several security risks that would be compounded by the measures the Commission seeks to impose. These risks range from comparatively mundane threats, such as leaks of email addresses and phone numbers (because AirDrop may use this personal information to identify parties) to more significant security hazards, such as “man-in-the-middle” attacks (where an attacker accesses a private exchange) and malware attacks (where an attacker sends an infected file via AirDrop).[12]

The point is that those parts of the iOS ecosystem that the Commission would seek to open are particularly sensitive. By refusing to acknowledge and account for the inherent tradeoffs, the Commission’s proposal risks degrading the security of European users. These risks are further compounded by other DMA provisions, such as users’ ability to sideload apps and the requirement that third-party apps should be able to function in the background.

This is not just theoretical speculation. The Microsoft/CrowdStrike outage that kept airlines, hospitals, banks, and other businesses down for hours, generating great disruption for thousands of consumers,[13] could have been—at least, in part—generated by an interoperability mandate. Indeed, as explained by the Financial Times:

Giving software companies that kind of access to an operating system is dangerous — it means you can quickly lose control of your computer if any of the software providers you rely on makes a mistake or is compromised. That is why Apple began informing third-party developers in 2020 that it would no longer grant them kernel-level access to the MacOS operating system (and also quite possibly why the CrowdStrike problem didn’t affect Apple devices).

But not all the fault lies with Microsoft. A 2009 agreement between the company and the European Commission requires it to grant outside developers the same access to Windows that its own security software has. The idea was to make it possible for other software companies to compete with Microsoft by ensuring many of its products and services are interoperable with outside software and tools. That’s a worthy goal, and many provisions in the agreement are entirely reasonable, such as requiring that Outlook support common calendar event and scheduling formats.

But the 2009 agreement is profoundly flawed in requiring Microsoft to make all of the APIs, or programming functions, that its own security software products use available to manufacturers of third-party security software products. This is the provision that requires Microsoft to give kernel-level access to companies such as CrowdStrike. Until it is changed, it’s not clear that Microsoft can implement the chief lesson of this debacle and start phasing out access, as Apple did four years ago.[14]

Critics of this view may retort that those third parties who interoperate with iOS are well-situated to ensure their services safely interact with Apple’s ecosystem, but things are not quite so simple. Third-party developers may lack the resources to implement equivalent security measures. Apple’s security protocols are supported by substantial investments in research, engineering, and real-time monitoring of threats. Third-party developers, particularly smaller firms, may not possess the same level of technical expertise or financial capacity to replicate these safeguards. And because security failings are likely to be attributed to the most visible entity—in this case, Apple—third parties might not have the right incentives to provide optimal levels of security.

At the same time, of course, unscrupulous actors with no incentive to maintain security safeguards are sure to try to exploit any loopholes created by the Commission. The result is an inevitable increase in vulnerabilities, leaving European users more exposed to risks that could have been mitigated within a more controlled ecosystem.

B. Degraded Device Performance and Reliability

Beyond the security risks discussed above, the sort of interoperability the Commission is demanding may also have a sizable impact on the performance of users’ devices.

For example, allowing third-party applications to run in the background without adequate controls can significantly reduce battery life, as has been observed on competing platforms like Android.[15] As one journalist put it: “Got the case of a quickly dying phone? It might be your background apps!”.[16] The issue arises because background activity consumes system resources, often without users’ awareness. And because users may be unable to attribute battery degradation to a specific application, developers may have weak incentives to minimize the energy their apps consume.

Given this, forcing Apple to allow background execution for all apps would compel Apple to include larger batteries in its phones. iPhones currently offer comparable battery life to Android devices, despite using smaller battery packs.[17] In turn, this can be expected to raise the cost of Apple devices and to degrade the user experience.

Similar problems may also arise with regard to data privacy. Third-party applications may intentionally or inadvertently collect user data during background operations, raising serious privacy concerns. Such changes not only diminish the user experience, but also erode trust in the iOS platform, which has built its reputation on seamless performance and reliability. While privacy breeches entail a direct threat to users, degrading platform quality will harm both users and the very third-party rivals the Commission intends to help.

The upshot is that the Commission’s proceedings threaten to degrade aspects of the iOS experience that European consumers value deeply.

IV. Economic Implications of the Commission’s Approach

The economic consequences of the Commission’s approach to interoperability extend beyond security and performance issues. By undermining Apple’s tightly integrated ecosystem, the DMA creates incentives for companies—including other large platforms covered under the DMA, such as Meta—to leverage Apple’s platform rather than invest in creating competing functionality, devices, and operating systems.

This strategy runs counter to the DMA’s stated goal of fostering competition. Instead of encouraging innovation and the development of new ecosystems, the current enforcement approach facilitates free-riding, wherein competitors stand to benefit from Apple’s investments without bearing the associated costs. This dynamic would not only stifle competition, but may also lead to higher costs for consumers, as regulatory compliance expenses are passed on through increased product prices. Additionally, the uncertainty surrounding broad and indiscriminate enforcement could deter investment in the European technology sector. Companies might hesitate to commit resources if they perceive that their proprietary innovations could be subject to forced sharing without adequate protections.

Finally, the economic implications extend to the broader market structure. By facilitating access to Apple’s APIs and features, the DMA might inadvertently entrench large competitors who are better positioned to capitalize on these openings, rather than enabling smaller firms to grow. This could lead to further consolidation, contrary to the DMA’s goals of decentralizing power and enhancing competition.

In summary, the Commission’s maximalist interpretation of Article 6(7) creates a confluence of risks that could compromise user security, degrade device performance, and undermine economic incentives for genuine competition. A more measured approach to interoperability—one that prioritizes user safety and fostering innovation—would better serve the interests of European consumers and the broader tech ecosystem.

V. Alternative Solutions

In light of these considerations, a more nuanced approach to interoperability is essential. By focusing on targeted solutions that balance the desire for competition with the imperatives of user security and system integrity, the Commission can better align its enforcement of Article 6(7) with its overarching objectives.

A. Encouraging Targeted Interoperability

A more effective way to achieve the goals of Article 6(7) without compromising user safety or innovation is to adopt a targeted approach to interoperability. This would involve limiting access to critical APIs and functionalities to a select group of trusted partners, vetted through stringent qualification processes.

For instance, Apple could work with the Commission and industry stakeholders to identify high-value use cases where interoperability is most beneficial to consumers. These could include APIs related to productivity, health monitoring, or other well-defined areas that enhance the user experience without exposing sensitive features like biometric authentication or NFC to unnecessary risks.

By focusing on specific high-impact areas, the Commission could encourage competition and innovation without disrupting the core integrity of Apple’s ecosystem. Such a framework would also allow for tighter oversight and quality control, ensuring that third-party developers meet the same high standards for security and performance that users expect from Apple products.

B. Fostering Collaborative Development

Another viable solution would be to encourage collaborative development between Apple and its competitors to establish secure interoperability protocols. This could involve creating industry standards for interoperability that prioritize security and reliability. For example, Apple, Meta, and other key players could collaborate to develop APIs with well-defined parameters, ensuring that only necessary data is shared, while safeguarding critical system functions.

Collaborative frameworks have the added benefit of fostering mutual accountability, as all parties would share responsibility to maintain the integrity of interoperable features. Such an approach would not only minimize security risks, but could also build trust among users, developers, and regulators.

C. Adopting a Risk-Based Approach

A risk-based approach to interoperability would prioritize user safety by categorizing system features according to their sensitivity and potential significance. For example, low-risk features like calendar synchronization or basic file sharing could be made relatively more accessible, while high-risk features like background execution and NFC capabilities would remain restricted. This tiered system would allow for a gradual and controlled expansion of interoperability, giving Apple and its partners the time and resources to adapt to new standards without jeopardizing user safety or system performance.

This approach would also enable the Commission to better align its enforcement efforts with its stated goals of fostering competition and protecting consumers. By addressing interoperability in a measured and strategic manner, the DMA could achieve its objectives without imposing undue burdens on developers or exposing users to unnecessary risks.

VI. Conclusion

The enforcement of Article 6(7) of the DMA presents a complex set of challenges that demand careful consideration. While the goal of fostering competition through interoperability may be laudable, the Commission’s current approach risks undermining user security, degrading device performance, and imposing economic costs that outweigh the benefits. The unintended consequences of broad and indiscriminate enforcement threaten to weaken consumer trust and stifle innovation in Europe’s digital markets.

To better achieve the DMA’s objectives, the Commission should adopt a more targeted, risk-based approach to interoperability. This would require focusing on high-value use cases, fostering collaboration among key industry players, and ensuring that mandates are proportionate to the risks involved. By aligning enforcement with these principles, the Commission could promote genuine competition and innovation while safeguarding the interests of European consumers.

[1] Regulation (EU) 2022/1925 of the European Parliament and of the Council of 14 September 2022 on Contestable and Fair Markets in the Digital sector and Amending Directives (EU) 2019/1937 and (EU) 2020/1828, art. 6 (7), 2022 O.J (L 265) 1, 36 (hereinafter “DMA”).

[2] Consolidated Version of the Treaty on European Union, art. 5(4), 26 October 2012, O.J. (C 326) 13 (hereinafter “the TEU”).

[3] Felix Richter, Apple’s Tightly Knit iPhone Ecosystem, STATISTA (25 March 2024), https://www.statista.com/chart/31973/likelihood-of-iphone-users-using-other-apple-devices.

[4] Beebom Staff, How to Check AirPods Battery Level, Beebom (18 December 2023), https://beebom.com/how-check-airpods-battery-level.https://beebom.com/how-check-airpods-battery-level.

[5] See, e.g., JBL, APPLE APP STORE, https://apps.apple.com/us/app/jbl-headphones/id1053136947 (last visited 8 January 2025); Sony Sound Connect, APPLE APP STORE, https://apps.apple.com/us/app/sony-sound-connect/id1168502924 (last visited 8 January 2025); Bose Connect App, BOSE, https://www.bose.com/apps/bose-connect?srsltid=AfmBOoq89DANpx8D7U3jdKDzX-MxXYfK6ID7vYJCBvxmt5X6JRiZC4Bi (last updated 8 January 2025).

[6] See, e.g., Fitbit, APPLE APP STORE, https://apps.apple.com/us/app/fitbit-health-fitness/id462638897 (last visited 8 January 2025).

[7] DMA, art. 6(7).

[8] Case Summary, Case DMA, 100203 – Consultation on the Proposed Measures for Interoperability Between Apple’s iOS Operating System and Connected Devices, EUROPEAN COMM’N, (18 December 2024), available at https://digital-markets-act.ec.europa.eu/document/download/ee7ba643-6cd6-494d-8552-cbaaaf18426a_en?filename=DMA.100203%20-%20Case%20summary.pdf (hereinafter “Apple IOS Case Summary”).

[9] Malcolm Higgins, NFC Security: 10 Security Risks You Need to Know, NORDVPN (10 August 2023), https://nordvpn.com/blog/nfc-security.

[10] Id.

[11] Id.

[12] Ilma Viena?indyt?, Is AirDrop Secure? How to Use It Safely, NORDVPN (12 December 2023), https://nordvpn.com/blog/is-airdrop-safe.

[13] Adam Satariano, Derrick Bryson Taylor, Remy Tumin, & Danielle Kaye, Outage for Microsoft Users Knocks Out Systems for Airlines and Hospitals in Chaotic Day, N.Y. Times (19 July 2024), https://www.nytimes.com/live/2024/07/19/business/global-tech-outage.

[14] Josephine Wolff, Software Crash Exposes Tensions Between Security and Competition, F.T. (28 July 2024), https://www.ft.com/content/60dde560-194a-40d1-8c98-1d96d6d019a0.

[15] Tristan Rayner, How to Stop the Android Apps Running in the Background, Android Auth. (13 May 2024), https://www.androidauthority.com/stop-android-background-apps-664842.

[16] Id.

[17] Robert Triggs, iPhone 16 and 16 Pro vs Android Battery Life Test: Which Phones Last the Longest?, Android Auth. (19 October 2024), https://www.androidauthority.com/iphone-vs-android-battery-life-3490706.

Regulatory Comments

The Privacy-Antitrust Curse: Insights from GDPR Application in EU Competition Law

Abstract

The integrated approach that many competition and privacy regulators have endorsed for oversight of the major online platforms, whose business models rely on collecting and processing large troves of personal data, has often been justified on grounds that competition and data protection are complementary ends. In this respect, Europe represents a testing ground for evaluating how privacy breaches may inform antitrust investigations. Indeed, the European Union’s General Data Protection Regulation (GDPR) and the recent German antitrust decision concerning Facebook may be considered polestars for this emerging regulatory approach that links market power and data power. This paper tests the degree to which such an approach is viable in concrete terms by analyzing how the European Commission and national competition authorities have applied data-protection rules and principles in antitrust proceedings. Notably, the paper aims to demonstrate the fallacy of characterizing the relationship between privacy and antitrust in terms of synergy and complementarity. Further, the paper maintains that the principles the European Court of Justice recently affirmed in its Meta decision do not appear to address the issue conclusively. The tension between these areas of law is illustrated by allegations raised in the numerous Apple ATT investigations concerning the strategic use of privacy as a business justification to pursue anticompetitive advantages. Rather than strengthening antitrust enforcement against gatekeepers and their data strategies, the inclusion of privacy harms in antitrust proceedings may turn out to be a potential curse for competition authorities, as it allows firms opportunities for regulatory gaming that can serve to undermine antitrust enforcement.

I.       Introduction

A significant share of the past decade’s academic literature on the role of data in digital markets has focused on the intersection of what had been previously thought of as the separate domains of privacy and antitrust. Given that data serves as a significant input for many of the major online platforms’ services and products, digital firms are eager to collect and process as much of it as possible. Such firms also use data-sharing agreements to obtain further data (i.e., information collected and provided by external suppliers) in order to improve their products and services. This is particularly true for those platforms whose business models rely on monetizing consumer information by selling targeted advertising and personalized sponsored content. In a market where platforms’ data-acquisition strategies are driven by the objective of granting sellers preferential access to consumer attention, personal data can represent an especially valuable portion of platforms’ information assets.[1] Moreover, given the social dimension of personal data, one user’s choice to share personal information with an online platform may generate externalities on other non-disclosing users (or non-users) by revealing information about them. Recent advances in machine learning may magnify the extent of these externalities, and raise questions about the effectiveness of data-protection regulations more generally.[2]

These dynamics have moved policymakers to take a greater interest in the degree to which data-accumulation strategies undermine individual privacy and entrench platforms’ market power. Some contend that the peculiar features of digital markets and the potential adverse uses of data in the digital economy require a regulatory approach that integrates privacy into antitrust enforcement and ensures close cooperation between antitrust authorities and data-protection regulators.[3]

According to this account, as network effects strengthen online firms’ market power, it becomes progressively more difficult to structure incentives for firms to compete on offering privacy-friendly products and services.[4] Conversely, these advocates claim, more competition in digital markets would lead to more privacy.[5]

Particular scrutiny is directed toward advertising-funded platforms that offer free services to attract users and thereby feed users’ data to the other side of the platform (i.e., advertisers), whose willingness to pay is strictly dependent on being able to deliver effective marketing through granular targeting or personalization. For their part, however, end users may not be aware of the value of their own data or may be induced to disclose private information. This could happen because users are attracted by zero-price services’ offers or, given the lack of available and comparable alternatives, in order to remain connected to their social, family, or work networks, users may feel compelled to accept take-it-or-leave-it terms that include the unwanted collection and use of their data.[6]

Some suggest that privacy should be included in antitrust assessments because suboptimal privacy offerings may be the result of anti-competitive behavior leading to decreased quality of products and services.[7] In this sense, privacy would represent a particularly significant factor to be taken into account in the merger-review process, as market concentration among companies that hold big data could further expand the merging firms’ tools to profile consumers and potentially invade their privacy.[8]

Finally, some advocates propose commingling antitrust and privacy regulation as part of a broader agenda to realign competition policy away from pure efficiency-oriented antitrust enforcement and instead toward a holistic approach that combines competition law with other fields of law, in order to take account of a broader swath of social interests.[9] In essence, privacy and antitrust would each help to cover the other’s purported Achilles heel.[10] While end users’ privacy interests would become relevant in investigating data-accumulation strategies that antitrust might otherwise fail to tackle, antitrust authorities would be more effective in ensuring data protection.[11]

Against the integrationist perspective, however, some scholars warn of risks that would attend transforming privacy infringements into per se antitrust violations.[12] Indeed, competition law and privacy regulation pursue different aims and deploy different tools. While privacy is not irrelevant to competition law and may constitute an important component of nonprice competition, the goals of competition and privacy are often at odds. Pushing these regulatory regimes to converge threatens to confuse, rather than strengthen, the enforcement of either.[13]

Further, the widely recognized “privacy paradox” illustrates that assessments of privacy are extremely subjective. Different consumers in differing contexts often express starkly different sensitivities about the protection of their personal data, rendering it challenging to provide accurate quality-driven assessments or even to set broadly acceptable baseline rules and policies.[14] More generally, an expansive approach that would treat privacy violations as sources of competitive harm potentially implies the need for antitrust investigations whenever dominant firms potentially violate any law, as they would acquire an advantage by saving costs or raising rivals’ costs.[15] Antitrust authorities would therefore become economy-wide regulators.

While some recent cases brought by U.S. antitrust authorities have also placed privacy concerns in a prominent position,[16] there are two reasons that Europe appears to represent the primary testing ground for an integrated approach for privacy and antitrust. First, European policymakers long have prided themselves as leaders in regulating digital markets, notably for a broad array of heterogeneous legislative initiatives that have in common their strenuous efforts to foster data sharing and their sponsors’ belief that the emergence of large technology platforms requires a bespoke approach.[17] In this sense, the initiative that blazed the path for the emerging integrationist perspective was the EU’s General Data Protection Regulation (GDPR), which assigned control rights over data to individuals and, in light of the emerging regulatory convergence of privacy and antitrust, introduced a general data-portability right for individuals, the rationale of which was inherently pro-competitive.[18]

Second, on the antitrust side of the ledger, the decision handed down by the German competition authority in the Facebook case was the first (and remains the primary) example of the trend toward enforcers asserting that competition law should be informed by data-protection principles and that data protection should enforced outside its usual legal context, with the goal of remedying the shortcomings of privacy law.[19]

Despite the purported synergies underpinning the respective policy goals of competition and data-protection law, however, their interests and objectives are not necessarily aligned.[20] In particular, there are signs that some major digital firms may interpret data-protection requirements in ways that risk distorting competition.[21] Namely, once privacy harms are included among the interests ostensibly protected in antitrust proceedings, platforms may have incentive to adjust their strategies to invoke data protection as a business justification for allegedly anticompetitive conduct.[22]

For example, some platforms justify their decisions to deny rivals access to their facilities on grounds that doing so would risk violating their users’ privacy.[23] App-store providers in particular have described some restrictions that may be interpreted as anticompetitive self-preferencing (e.g., requiring in-app purchases to be routed through their own in-app payment processor, limiting sideloading, and limiting app developers’ ability to communicate with end users about the availability of alternative payment options) as necessary to guarantee users’ security and privacy.[24]

The most debated example illustrating the growing tension between data protection and antitrust is Apple’s adoption of its “app tracking transparency” (ATT) policy, which creates new consent and notification requirements that change the way app developers can collect and use consumer data for mobile advertising on iOS. There very well could be privacy benefits associated with the new Apple framework, as it may enhance users’ privacy and control over their personal data. But ATT also would now differentiate between a user’s consent for Apple’s advertising services and consent for third-party advertising services. The ATT policy might therefore represent a form of discrimination that benefits Apple’s own advertising services and reinforces its position in app distribution to the detriment of rivals. For these reasons, the ATT policy is under investigation by several antitrust authorities.[25]

Given this backdrop, this paper seeks to investigate the intersection of privacy and competition law and to analyze how data-protection rules and principles have been applied in antitrust proceedings by the European Commission and by EU national competition authorities (NCAs). The analysis of the case law will illustrate how data protection has been progressively transformed from a weapon used by antitrust authorities to limit data accumulation to a shield exploited by digital platforms to justify potentially anticompetitive strategies and to game antitrust rules.

As a result, the paper aims to demonstrate the fallacy of the narrative that describes the relationship between privacy and antitrust in terms of synergy and complementarity. Such a paradigm, indeed, does not provide useful insights to solve the growing conflicts between the interests protected and the goals pursued by these different fields of law.

As has already happened with regard to the traditional intersection of intellectual-property protection and competition law, invoking a convergence of aims does not in itself sketch out a pragmatic solution. Notably, competition authorities’ cooperation with data-protection regulators may help to ensure a coherent and uniform interpretation and application of the GDPR, it will not help antitrust authorities to strike the balance between privacy benefits and anticompetitive restrictions. In such a scenario, competition law enforcers risk being forced, like Buridan’s Ass, to make a choice that cannot be made.[26]

The remainder of the paper is structured as follows. Section II examines the European cases in which privacy concerns have been addressed in antitrust proceedings to tackle data-accumulation strategies by large online platforms. Section III deals with the strategic use of privacy as a business justification for potential anticompetitive conduct, which emerges as a byproduct of promoting the integration of privacy and antitrust. Taking stock of the German Facebook case recently addressed by the Court of Justice of the European Union (CJEU),[27] Section IV illustrates how the intrinsic conflict between data-protection and competition law cannot be solved merely by invoking a purported synergy or complementarity. Section V concludes.

II.     Privacy as an Antitrust Sword Against Data-Accumulation Strategies

While data-protection and competition law serve different goals, it is commonly argued that the emergence of business models involving the collection and commercial use of personal data creates inevitable linkages between market power and data protection.[28] Notably, given that the key goal of the GDPR was to enable individuals to have control of their own personal data,[29] applying competition rules to digital markets could, it is asserted, promote precisely that control.[30] As a consequence, “previously separate policy areas become interlinked, and different regulatory authorities are increasingly required to consider a given set of issues from the perspective of contrasting policy aims and objectives.”[31]

From this perspective, combining data-protection and competition law is justified on grounds that a common aim they share is to avoid exploitation of personal data and restrictions on consumers’ privacy.[32] Since end users may experience less privacy and autonomy as a result of excessive data collection and use:

Reductions in privacy could also be a matter of abuse control, if an incumbent collects data by clearly breaching data protection law and if there is a strong interplay between the data collection and the undertaking’s market position.[33]

Indeed, from the standpoint of competition law, the idea has been advanced that the acquisition and exploitation of user information is itself the result of, or evidence of, market failure.[34] In particular, users of dominant advertiser-based platforms are said to suffer both from significant information asymmetries as a result of opaque data policies, and from platform lock-in, with no choice other than to consent to the harvesting and use of their data because of the lack of viable alternatives.[35]

On the data-protection side of the ledger, it is bears noting that, according to the GDPR, consent means any “freely given, specific, informed and unambiguous” indication of a data subject’s wishes—whether by statement or some other clear affirmative action—that signifies agreement to the processing of his or her personal data.[36] Further, the GDPR specifies the conditions for consent, which include that: the request for consent be presented in a manner clearly distinguishable from other matters; that it be in an intelligible and easily accessible form; that it use clear and plain language; that the data subject has the right to withdraw consent at any time; and that, when assessing whether consent is freely given, utmost account shall be taken of whether, inter alia, the performance of a contract—including the provision of a service—is conditional on consent to processing personal data not actually needed for the performance of that contract.[37]

A. Privacy Harm as an Antitrust Abuse

As the French and German competition authorities have argued in a joint paper:

[L]ooking at excessive trading conditions, especially terms and conditions which are imposed on consumers in order to use a service or product, data privacy regulations might be a useful benchmark to assess an exploitative conduct, especially in a context where most consumers do not read the conditions and terms of services and privacy policies of the various providers of the services that they use.[38]

From this perspective, privacy concerns support the use of antitrust intervention to limit data-accumulation strategies by treating the restriction on privacy as a form of exploitative abuse.

Another way that privacy interests can be leveraged by antitrust authorities to address competitive concerns about data accumulation is through the merger-review process. Indeed, “firms that gain a powerful position through a merger may be able to gain further market power through the collection of more consumer data and privacy degradation.”[39] The use of merger review is expected to be more effective to achieve privacy-policy goals given that, while an antitrust abuse investigation may at best neutralize or alleviate exploitation of data gathered by a dominant player, merger proceedings would prevent data accumulation in the first place.

  1. The German Facebook case: Users’ privacy-exploitation claim

The Bundeskartellamt’s decision in Facebook undoubtedly represents the apex, to date, of enforcers’ application of the integrationist perspective.[40] According to the German competition authority, Facebook unlawfully exploited its dominant position in the German market for social networks by making the use of its social-networking service conditional on users granting extensive permission to collect and process their personal data. Notably, Facebook failed to make its users fully aware of the fact that it collected their personal data from sources other than the Facebook platform and then merged those data with personal information gathered through its own platform.[41] Further, Facebook put its users in the difficult position of either accepting this data policy or refraining from use of the social network in its entirety.

Indeed, even well-informed users would have not been able to voluntarily consent to such data collection and combination, as they would fear the alternative of no longer being able to access the social network.[42] Therefore, according to the German competition authority, when the data controller is in a dominant position, its users’ consent is insufficient under the GDPR, because the platform’s market power always puts users in the position of having to either take or leave any offers made.

Considering these findings, the Bundeskartellamt established a link between market power and privacy concerns. In its view, Facebook’s terms and conditions were neither justified under data-protection principles nor appropriate under competition-law standards. To comply with the GDPR, users should have been asked whether they voluntarily consent to the practice of combining data in their Facebook user accounts, which could not consist merely of ticking a box. Indeed, given Facebook’s superior market power, the user’s choice to either accept comprehensive data combination or to refrain from using the social network could not be regarded as voluntary consent.[43] The Bundeskartellamt therefore concluded that Facebook had infringed GDPR rules by depriving its users of the human right to control the processing of their personal data and of the constitutional right of informational self-determination.

This form of coercion is, however, also relevant to competition law, as it was the result of Facebook’s dominant position. Hence, Facebook’s conduct could be considered exploitative within the meaning of the general clause of Section 19(1) of the German Competition Act (GWB), according to which competition law applies in every case where one bargaining party is so powerful that it can dictate the terms of the contract, with the end result being the abolition of the contractual autonomy of the other bargaining party. From the Bundeskartellamt’s standpoint, if a dominant firm collects and analyzes users’ data pursuant to terms and conditions that do not comply with EU data-protection rules, it also violates antitrust law by acquiring an unfair competitive advantage over firms that do adhere to the GDPR.

In summary, while the primary concern in the Facebook case was an antitrust issue (i.e., the excessive quantity of data that Facebook accumulated in its unique dataset),[44] the Bundeskartellamt elaborated a theory of harm based primarily on protecting the constitutional right to informational self-determination. In other words, the competition authority invoked the right under which data-protection law affords individuals the power to decide freely and without coercion how their personal data is processed. Such reasoning is consistent with the case law of Section 19(1) GWB, which allows an antitrust authority to consider the protection of constitutional values and interests in assessing the practices of dominant firms. While the Bundeskartellamt contended that its proceedings against Facebook would also generally be possible under the EU’s antitrust provision on exploitative abuses (Article 102(a) TFEU),[45] Section 19 GWB offered a broader (and, hence, more legally convenient) general clause.[46]

This privacy-focused approach also manifested in the remedy that Meta presented, and which the Bundeskartellamt welcomed. To implement the German antitrust authority’s decision, Meta proposed several changes to the accounts center that would allow customers to decide whether they wanted to use all services separately, each with their own circumscribed functions, or to use additional functions across accounts, which would require sharing more personal data.[47] In the Bundeskartellamt’s view, this solution would allow Meta’s customers to make a largely free and informed decision.

The Bundeskartellamt’s approach in the Facebook case therefore appears quite distinctive and essentially German-specific, as well as particularly controversial with respect to the scope and boundaries of competition and data-protection enforcement.[48] Indeed, in ascertaining a privacy violation previously undetected by any data-protection authority, the Bundeskartellamt acted as a self-appointed enforcer of data-protection rules.

It also interpreted data-protection rules in ways that far exceed the limits of its legal competence, given that there is nothing in the GDPR that makes the quality of a user’s consent agreement contingent on the data controller’s market power. Indeed, the GDPR makes no distinction at all on the basis of a firm’s market power. Size does not matter when it comes to data-protection law; a dominant firm is just as bound by privacy rules as its smaller rivals. At the same time, from the perspective of competition law, following the Bundeskartellamt’s expansive stance, virtually every legal infringement by a dominant firm could amount to an antitrust violation.

Because of the thorny implications for the interface between antitrust and data-protection law, the Facebook decision unsurprisingly sparked a heated debate not only in the literature, but also between German courts.

The Higher Regional Court (Oberlandesgericht, or OLG) of Du?sseldorf suspended the landmark decision, expressing serious doubts about its legal basis and complaining that the Bundeskartellamt was “merely discussing a data protection issue, and not a competition problem.”[49] Pursuant to both European and German antitrust provisions, a charge of abuse of market power by a dominant undertaking requires a finding of anticompetitive conduct and, hence, damage to competition—namely, to the freedom of competition, that is “safeguarding competition and the openness of market access.”[50] Therefore, dominant undertakings carry a special responsibility only in the domain of competition, rather than for compliance with the entire legal system by avoiding any violation of the law.[51] Further, in the appellate court’s view, no influence was exerted on users, as Facebook’s terms of service simply require them to weigh the benefits of using an ad-financed (and, therefore, free) social network against the consequences of Facebook’s use of the additional data that it gathers.

However, the Federal Supreme Court (Bundesgerichtshof, or BGH) overturned the OLG’s judgment and held that Facebook must comply with the Bundeskartellamt’s decision.[52] The BGH’s reasoning did, however, differ from the Bundeskartellamt’s. According to the Federal Supreme Court,  it is inconclusive whether Facebook’s processing and use of personal data complied with the GDPR. The court’s decision turned instead on Facebook’s terms of service, which the BGH found are abusive if they deprive Facebook users of any choice in whether they wish to use the network in a more personalized manner (thus, linking their experience to Facebook’s potentially unlimited access to characteristics that include their off-Facebook use of the internet more generally) or whether they wanted a level of personalization that was based solely on data that they themselves share on Facebook.[53]

Notably, the BGH found that Facebook’s data processing constitutes an “imposed extension of services,” as users receive an indispensable service only in combination with another undesired service.[54] Accordingly, such a practice was evaluated as both an exploitative and an exclusionary abuse. The lack of options available to users affects their personal autonomy and the exercise of their right to informational self-determination, as protected by the GDPR. Given lock-in effects that serve as barriers for network users who would otherwise like to switch providers, the BGH found that this lack of options exploits users in a manner relevant under competition law since, under effective competition, one would expect more diverse market offerings for social networks.[55] Further, the terms of service could also impede competition for online advertising, allowing Facebook to protect its dominant position against rivals, as they would be able to improve their offerings due to privileged access to a considerably larger database.[56]

As a result of this clash among the German courts, the Higher Regional Court of Du?sseldorf decided to refer the case to the CJEU, adding a new twist to the Facebook saga.[57] In particular, the OLG of Du?sseldorf raised seven questions about the interpretation of the GDPR, fundamentally asking the CJEU to untie the knot and clarify the competence of a competition authority to determine and penalize a GDPR breach; the prohibition on processing sensitive personal data and the conditions applicable to consenting to their use; the lawfulness of processing personal data in light of certain justification; and the validity of a user’s consent to processing personal data given to an undertaking in a dominant position.[58]

It is also worth noting the different approaches taken by other authorities concerning the very same Facebook conduct. Notably, the Italian competition authority evaluated such practices as violations of the Consumer Code (instead of the competition law),[59] while in Belgium, the Court of First Instance of Brussels found a violation of privacy rules.[60]

  1. The Digital Markets Act: Rivals’ exclusion and primacy of data-protection interests over competition-policy goals

The Facebook case has already influenced the broader debate about the limits of competition law to address certain features of digital markets effectively. The EU’s Digital Markets Act (DMA)—which was explicitly grounded in the assumption that competition law alone is unfit to tackle certain challenges and systemic problems posed by the platform economy—specifically prohibits combining personal data across a gatekeeper’s services, a provision clearly inspired by the German investigation.[61]

Notably, pursuant to Article 5(2) DMA, a gatekeeper shall not: (a) process—for the purpose of providing online-advertising services—end users’ personal data using third-party services that themselves make use of the gatekeeper’s core platform services; (b) combine personal data from the relevant core platform service with personal data from any further core platform services, or from any other services provided by the gatekeeper, or with personal data from third-party services; (c) cross-use personal data from the relevant core platform service in other services provided separately by the gatekeeper, including other core platform services, and vice versa; and (d) sign end users into the gatekeeper’s other services in order to combine personal data, “unless the end user has been presented with the specific choice and has given consent” within the meaning of the GDPR.

Further, according to Recital 36—given that gatekeepers process personal data from a significantly larger number of third parties than other undertakings—data processing for the purpose of providing online-advertising services gives gatekeeper platforms potential “advantages in terms of accumulation of data,” thereby “raising barriers to entry.” To ensure that gatekeepers do not unfairly undermine the “contestability” of core platform services, gatekeepers should enable end users to “freely choose to opt-in” to such data processing and sign-in practices. This may be accomplished by offering a less-personalized but equivalent alternative, and without making the use of (or certain functions of) the core platform service conditional on the end user’s consent.[62]

Moreover, in light of Recital 37, when a gatekeeper does request consent, it should proactively present a “user-friendly solution” to the end user to provide, modify, or withdraw consent in an explicit, clear, and straightforward manner. In particular, consent should be given by a clear affirmative action or statement establishing a freely given, specific, informed and unambiguous indication of agreement by the end user, as defined in the GDPR.

Lastly, it should be as easy to withdraw consent as to give it. Gatekeepers should not design, organize, or operate their online interfaces in a way that deceives, manipulates, or otherwise materially distorts or impairs end users’ ability to freely give or withdraw consent.[63] In particular, gatekeepers should not be allowed to prompt end users more than once a year to give consent for a data-processing purpose for which the user either did not initially give consent or actively withdrew consent.

The idea that only opt-in mechanisms can produce effective consent within the meaning of the GDPR is confirmed by the obligation under Article 6(10) DMA, which imposes on gatekeepers the duty to provide business users, or third parties authorized by a business user, access to aggregated and non-aggregated data (including personal data) generated in the context of using the relevant core platform services.[64]

The provision under Article 5(2) DMA provides interesting insights into the relationship between data-protection and competition law. By emphasizing that the primary concern is online gatekeepers’ data-accumulation strategies, the DMA’s approach differs from the one the Bundeskartellamt pursued in Facebook. Rather than focusing on potential harms to users’ self-determination and digital identity, the DMA points to a pure antitrust harm related to market contestability. Therefore, even if “[t]he data protection and privacy interests of end users are relevant to any assessment of potential negative effects of the observed practice of gatekeepers to collect and accumulate large amounts of data from end users,”[65] the primary interest protected is a competitive one—namely to avoid foreclosure against rivals.

From this perspective, it may be argued that the DMA adopts an integrated approach that takes data-protection principles into account within a competitive assessment of gatekeepers’ conduct. The very last part of the provision, however, demonstrates the opposite. By subordinating the prohibitions to respect the GDPR, European authorities arguably acknowledge the potential tensions between data-protection interests and competition-policy goals. Moreover, in the event of such a conflict, the DMA affirms the primacy of the former. Indeed, all the forms of conduct listed in Article 5(2) are forbidden “unless” the end user has been presented with a specific choice and given consent within the meaning of the GDPR.

  1. New German platform-specific antitrust rules and the Google case

There is another interesting and ongoing German investigation regarding Google’s data-processing terms. Notably, in January 2023, the Bundeskartellamt issued a statement of objections against Google claiming that, under the company’s current terms, users are not given “sufficient choice” as to how their data are processed across services.[66]

The antitrust authority noted that Google’s business model relies heavily on processing user data and that its current terms allow the company to combine various data from various services and use them, for example, to create very detailed user profiles that the company can exploit for advertising and other purposes, or to train functions provided by Google services. Google may, for various purposes, collect and process data across services, which include both its own widely used services (Google Search, YouTube, Google Play, Google Maps, and Google Assistant), as well as numerous third-party websites and apps. Bundeskartellamt President Andreas Mundt stated that this grants Google a “strategic advantage” over other companies.[67]

According to the Bundeskartellamt’s preliminary assessment, the choices offered to users are too general and insufficiently transparent. The authority contends that sufficient choice would require that users be able to limit data processing to the specific service used. In addition, they also must be able to differentiate between the purposes for which the data are processed. Moreover, the choices must not be devised in a way that would make consenting to data processing across services easier than not consenting to it.

The framing of the Google investigation is similar to that of the Facebook case. The antitrust authority is fundamentally concerned with a data-accumulation strategy that it contends confers to Google a critical competitive advantage. And given that having access to more user data than rivals have cannot in itself be considered anticompetitive, privacy concerns are exploited to limit such a strategy.

There is, however, a significant difference worth highlighting. In the Google case, the Bundeskartellamt’s position benefits from a new provision of Section 19a GWB,[68] which empowers national competition authorities to tackle platform-specific practices that are similar and functionally equivalent to those prohibited under the DMA.[69] Notably, since January 2021, the Bundeskartellamt has had the power to designate undertakings of “paramount significance for competition across markets.” The factors relevant to this designation include a platform’s dominant position in one or more markets; financial strength or access to other resources; vertical integration and activities in otherwise related markets; access to data relevant for competition; and the importance of the activities for third parties’ access to supply and sales markets and related influence on third parties’ business activities. Google has been the first platform to be designated as of paramount significance for competition across markets.[70]

Once the designation is completed, the Bundeskartellamt can prohibit such undertakings from engaging in anticompetitive practices. In particular, the new provision introduces a list of seven types of abusive practices that are prohibited, unless the undertaking is able to demonstrate that the conduct at issue is objectively justified. While the targeted practices are similar to those captured by the DMA, the main differences are that the German list is considered exhaustive and the practices at issue are not prohibited per se. Instead, it introduces a reversal of the burden of proof, allowing firms to provide objective justifications for their conduct, which is not allowed under the DMA.

For the sake of this analysis, pursuant to paragraph 4 of Section 19a GWB, the Bundeskartellamt may prohibit an undertaking of paramount significance for competition across markets from creating or appreciably raising barriers to market entry (or otherwise impeding other undertakings) by processing data relevant for competition that have been collected by the undertaking, or demanding terms and conditions that permit such processing—in particular, making the use of its services conditional on a user agreeing to data processing by the undertaking’s other services or by a third-party provider without “sufficient choice” as to whether, how, and for what purpose such data are processed.

As mentioned, while the Google investigation resembles the background of the Facebook decision, the introduction of Section 19a(4) GWB has relevant implications. The new provision is clearly inspired by the strategy investigated in Facebook and, as already enshrined in the DMA, essentially aims to ease enforcement, avoiding the hurdles and burdens of standard antitrust analysis. Practically speaking, the Bundeskartellamt therefore does not need to struggle to find a proper theory of harm and can easily avoid the odyssey it experienced in Facebook. Moreover, the new provision’s wording changes the legal landscape, distinguishing the Google investigation from both the parallel DMA provision and the Facebook decision. Indeed, by relying on the lack of “sufficient choice” for users, Section 19a(4) GWB does not include any reference to the GDPR, thus allowing the Bundeskartellamt to provide an autonomous interpretation. With regard to the comparison with Facebook, on the other hand, Section 19a(4) GWB—just like the DMA—aims to promote contestability in the market (“creating or appreciably raising barriers to market entry”). Hence, data accumulation is prohibited to the extent that it excludes rivals, rather than whether it exploits users’ privacy.

That the German provision is effective has been confirmed by Google’s decision to end the proceeding by submitting commitments.[71] Under those commitments, Google will give its users the option to grant free, specific, informed, and unambiguous consent to have their data processed across services.[72] Google will also offer corresponding choice options for particular combinations of data and services, and will design selection dialogues to avoid dark patterns, thus not guiding users manipulatively towards cross-service data processing.

It is worth noting that Google’s commitments involve more than 25 services, with only those services that the European Commission has since designated as core platform services under the DMA (i.e., Google Shopping, Google Play, Google Maps, Google Search, YouTube, Google Android, Google Chrome and Google’s online-advertising services) excluded from the list. While this was intended to avoid practical conflicts with application of the DMA, it also represents an acknowledgment that the DMA and German antitrust law pursue the very same goals. Indeed, as stated in the decision, Google’s commitments “are intended to correspond in substance to an extension of Google’s obligations under Article 5(2) DMA” to further services and, therefore, “in case of doubt, the terms used in the Commitments are to be interpreted in accordance with their meaning in the DMA.”[73]

B. Privacy Harm in Merger Analysis: The European Commission’s Case Law

Given this broad consensus regarding synergies between data-protection and competition law in digital markets, it is somewhat surprising how reluctant the European Commission has been to implement this integrated approach in the context of merger analysis.[74] Indeed, while acknowledging privacy’s role as a parameter of competition between online platforms, the Commission has to date not blocked any merger on the grounds of protecting individuals’ control over personal data, and it has nearly always approved unconditionally those mergers that raised privacy concerns.

Notably, in the days before the GDPR, the Commission authorized the Google/DoubleClick merger, in the process affirming that antitrust and data-protection rules had wholly separate scopes.[75] While it could have determined that the combined data-collection activities of two players active in the online-advertising industry raised concentration concerns and a possible unfair advantage in producing targeted advertising, the Commission’s assessment, under pure antitrust criteria, was that it was unlikely that the new entity would obtain a competitive advantage unmatchable by its rivals.[76] Further, the Commission underlined that its decision exclusively concerned an appraisal of the operation under competition rules, without prejudice to other obligations imposed on the parties by data-protection and privacy laws.[77]

This stance of maintaining separate regulatory spheres of inquiry was even more clearcut in the 2014 Facebook/WhatsApp merger.[78] Assessing the potential edge the combined entity might derive from controlling huge amounts of data, the Commission found that, regardless whether the merged entity would start using WhatsApp user data to improve targeted advertising on Facebook, there continued to be large troves of valuable internet user data that were not within Facebook’s exclusive control.[79] More importantly, the Commission stated that:

Any privacy-related concerns flowing from the increased concentration of data within the control of Facebook as a result of the Transaction do not fall within the scope of the EU competition law rules but within the scope of the EU data protection rules.[80]

The outcome and reasoning were the same in Microsoft/LinkedIn.[81] Consistent with the findings in Facebook/WhatsApp, the results of the Commission’s market investigation revealed that privacy is an important parameter of competition and a driver of customer choice.[82] But not only did the transaction not raise serious antitrust concerns in online advertising, given that combining the firms’ respective datasets did not appear to result in raising rivals’ barriers to entry or expansion,[83] but also:

[S]uch data combination could only be implemented by the merged entity to the extent it is allowed by applicable data protection rules. … Microsoft and LinkedIn are subject to relevant national data protection rules with respect to the collection, processing, storage and usage of personal data, which, subject to certain exceptions, limit their ability to process the dataset they maintain.[84]

Moreover, the Commission noted that the GDPR “may further limit Microsoft’s ability to have access to, and process, its users’ personal data in the future since the new rules will strengthen the existing rights and empower individuals with more control over their personal data.”[85]

In a nutshell, the Commission again chose to defer to privacy rules for protecting individuals’ personal data and analyzed the transaction’s antitrust issues while “[a]ssuming such data combination [was] allowed under the applicable data protection legislation.”[86] The Commission did not discuss whether the relevant markets under consideration were sufficiently competitive to provide users with the optimal level of privacy-friendly options. It didn’t establish any link between the merging firms’ market power and the variety of privacy-friendly tools and services they provided. Nor did it find any connection between such market power and the optimal quantity of personal data that the firms under scrutiny should have collected.

In Apple/Shazam, despite some concern that the acquisition would grant Apple access to commercially sensitive information about competitors of its Apple Music service, the Commission regarded it as unclear whether the merged entity would be able to put competing providers of digital-music streaming apps at a competitive disadvantage. And they again stressed that personal-data processing remained subject to the GDPR.[87]

The recent Google/Fitbit merger offered the Commission another opportunity to interrogate overlaps among data protection and antitrust. Ultimately, the Commission’s analysis focused on the data collected via Fitbit’s wearable devices and the interoperability of wearable devices with Google’s Android operating system for smartphones.[88] While some market participants complained that, in combining those databases, Google could obtain a competitive advantage in the digital health-care sector that would leave competitors unable to compete, others (including the European Data Protection Board) raised privacy concerns on grounds that the merger would make it increasingly difficult for users to track the purposes for which their health data would be used.[89]

To address such issues, Google offered (and the Commission accepted) commitments to maintain a technical separation of Fitbit user data by storing them in a data silo separate from any Google data used for advertising; that it will not use the health and wellness data collected from users’ wrist-worn wearable devices and other Fitbit devices for Google Ads; and it will ensure that users have an effective choice to grant or deny the use of health and wellness data stored in their Google Account or Fitbit Account by other Google services.

With regard to privacy concerns, the Commission reminded those involved that the parties are held accountable to implement appropriate technical and organizational measures to ensure that data processing is performed in accordance with the GDPR.[90] More specifically, the Commission noted that the GDPR is designed to enhance transparency over data processing, accountability by data controllers and, ultimately, users’ control over their data.[91] The Commission found no evidence that privacy was an important parameter of competition in wearables and underlined that any privacy or data-protection decision or initiative the parties might adopt would have to comply with the data-protection rules set out by the GDPR.[92]

The Commission addressed similar privacy issues arising from the combination of datasets in Microsoft/Nuance[93] and Meta/Kustomer,[94] each time noting that GDPR served as the appropriate safeguard.

Moreover, the Commission appears to retain this “separatist” stance, as confirmed recently by its unconditional approval of a joint venture among Deutsche Telekom, Orange, Telefo?nica, and Vodafone, which will offer a platform to support brands and publishers’ digital-marketing and advertising activities in France, Germany, Italy, Spain, and the United Kingdom.[95] Subject to a user’s consent (i.e., on an opt-in basis only), the joint venture will generate a unique digital code derived from the user’s mobile or fixed-network subscription that will allow brands and publishers to recognize users on their websites or applications on a pseudonymous basis, group them under various categories, and tailor their content to specific user groups.

Whatever privacy and security benefits or harms might arise from the operation, the Commission was ultimately guided in its decision by the lack of competition concerns. Moreover, the Commission declared that it has been in contact with data-protection authorities during its investigation and that data-protection rules are fully applicable, irrespective of the merger’s clearance.

III.   Privacy as a Shield Against Antitrust Allegations

Amid these limited and somewhat confused attempts to address privacy concerns in digital markets by integrating data-protection rules and competition-law enforcement, a novel and challenging phenomenon has emerged. Taking stock of some authorities’ willingness to grant primacy to data protection in the context of antitrust interventions, some platforms have implemented changes to their ecosystems with the declared aim of ensuring increased privacy to end users. For instance, Apple and Google have developed policies to restrict third parties from sharing user data through apps in the platforms’ respective operating systems and websites in their respective browsers.[96] These policies include Apple’s ATT, Intelligent Tracking Prevention, and iCloud Private Relay, and Google’s Android Privacy Sandbox and Chrome Privacy Sandbox. To a certain extent, the DMA may have even encouraged some of these design choices by apparently endorsing the view that only opt-in systems can ensure effective consent within the meaning of the GDPR.

The suspicion is that such facially noble intentions may actually conceal a goal of achieving anticompetitive advantages at the expense of rivals and business users. Therefore, it appears that a new form of regulatory gaming is on the horizon. Particularly in online-advertising markets, privacy may be weaponized as a business justification for potentially anticompetitive conduct and data-protection requirements may be leveraged to distort competition. The relevance and dangerousness of such hypotheses are confirmed by certain antitrust investigations launched recent years, which the following paragraphs will analyze.

A. Apple’s ATT Policy

As illustrated above, data represents a primary input for platforms whose business models rely on monetizing consumer information by selling targeted advertising and personalized sponsored content. In digital markets, advertisers benefit from access to detailed (and hence, highly valuable) user data, such as browsing behavior, profiles on company websites, demographic information, shopping habits, and past purchase history, especially given the potential to use that data across advertising platforms.[97] Therefore, the effectiveness of targeted advertising and the overall profitability of advertising-based business models rely on data tracking.

To enhance users’ privacy protection, however, regulatory interventions like the GDPR aim to reduce data collection and mitigate platforms’ tracking by requiring explicit consent for users’ individual-behavior data to be used for targeted advertising.[98] In addition, some platforms have adopted (or announced) privacy-centric policies that would limit third parties’ ability to track data, thus affecting the profitability and revenues of their advertising strategies.[99]

Apple’s ATT policy is a paramount example of such product changes. With the iOS 14.5 privacy update, Apple introduced an opt-in mechanism that imposes more restrictive rules on competing app developers than those the company applies to itself. The differential treatment mostly concerns features that prompt users to grant apps permission to track them. Without consumers opting into this prompt, developers cannot access their identifiers for advertisers (IDFA), which are used to monitor users’ activity across apps.

The wording of the prompts ATT offers for user consent may unduly influence users to withhold consent from third-party apps. For apps developed by Apple itself, the consent prompt focuses on the positive aspects of personalized services, rather than the tracking of users’ browsing activity. In contrast, the prompt for third-party app developers places greater emphasis on other companies’ app and website tracking activities (without explaining the term “track”) and does not provide information about the benefits that users could derive from personalized advertising. Moreover, even if the user gives consent to be tracked, third-party app developers remain unable to share the same data that would allow for the personalization of ads, and measure their effectiveness, on another app. Indeed, for third-party app developers, the ATT framework introduces a double opt-in, requiring the user to consent to being tracked for each access to different apps, even if these apps are linked.

This model illustrates an apparent tension between data-protection interests and antitrust goals. While the ATT policy has been framed as a privacy-protecting measure, it is not just the level of privacy chosen by Apple in its digital ecosystem that is at issue, but also the competitive implications that arise from the choice to adopt discriminatory privacy policies. Indeed, the differentiated treatment imposed on third-party app developers appears likely to reduce their advertising revenues, and hence their level of competitiveness vis-à-vis Apple, and could eventually enhance the dominance of the iOS ecosystem.

Notably, the ATT framework may hinder competitors’ ability to sell advertising space, in ways that redound to Apple’s own advantage—in particular, benefiting the company’s own direct sales and advertising-intermediation platforms. Further, limiting third parties’ ability to profile users may reduce business-model differentiation. The advertising-based monetization model used by free and freemium apps may be rendered less sustainable, causing these apps to exit the market or gradually shift to the fee-supported model. This would come at the expense of end consumers, for whom the possibility of choosing free or lower-priced apps could be reduced.[100]

For these reasons, the ATT framework is currently under scrutiny by antitrust authorities in France,[101] Germany,[102] Italy,[103] and Poland,[104] who suspect that Apple is masking an anticompetitive strategy under the guise of privacy protection. Similar doubts have been raised by the UK Competition and Markets Authority in its market study on mobile ecosystems.[105]

Given these kinds of market responses, it is difficult to see how an integrated approach to data-protection and competition law could be implemented in practice. Contrasting the Italian and French investigations may provide useful insights into this conundrum. The Italian competition authority correctly stated that the case does not implicate the level of privacy chosen by Apple, but rather its decision to adopt a differentiated policy at the expense of its rivals.[106] Conversely, in evaluating whether to issue an interim measure against Apple, France’s Autorité de la Concurrence solicited input from the domestic data-protection regulator (the Commission Nationale de L’Informatique et des Liberte?s, or CNIL), which de facto prevented the competition authority from ordering interim measures. Indeed, in the CNIL’s view, the changes proposed by Apple could be of genuine benefit to both users and app publishers.[107] In particular, the ATT prompt would give users more control over their personal data by allowing them to make choices in a simple and informed manner,[108] and would allow app publishers to collect informed consent as required by the applicable regulation.

It is worth noting, however, that while all the other competition authorities are investigating Apple’s policy as a potential form of discriminatory self-preferencing, the French authority has initially evaluated whether the introduction of the ATT prompt would result in imposing unfair trading conditions or a supplementary obligation, in breach of Article 102(a) and (d) TFEU. The complaint’s investigation on the merits of the case will allow the French authority to assess whether ATT does or does not result in a form of discrimination.

B. Google’s Privacy Sandbox

Concerns regarding the potential impact of privacy policies on digital-advertising competition and publishers’ ability to generate revenue have also been against Google’s proposals to remove third-party cookies and other functionalities from its Chrome browser. In particular, Google’s Privacy Sandbox project would disable third-party cookies on the Chrome browser and Chromium browser engine, with the stated goal of better protecting consumer privacy. The project would replace those cookies with a new set of tools for targeting advertising and other functionalities. Therefore, similar to Apple’s ATT policy, Google’s planned privacy changes raise concerns about anticompetitive discrimination against rivals.

Indeed, in 2021, the European Commission initiated antitrust proceedings to investigate the effects of Google’s privacy policies on online display advertising and online display advertising-intermediation markets. The inquiry focused on whether Google had violated EU competition rules by favoring—through a broad range of practices—its own online display advertising-technology services in the ad tech supply chain, to the detriment of competing providers of advertising-technology services, advertisers, and online publishers.[109] Notably, the Commission also examined restrictions on third parties’ ability to access data about user identity or user behavior, which remained available to Google’s own advertising-intermediation services, as well as Google’s announced plans to cease making advertising identifiers available to third parties on Android mobile devices whenever a user opts out of personalized advertising.

The Commission declared that it would “take into account the need to protect user privacy, in accordance with EU laws in this respect,” underscoring that “[c]ompetition law and data protection laws must work hand in hand to ensure that display advertising markets operate on a level playing field in which all market participants protect user privacy in the same manner.”[110]

A similar investigation was launched that same year by the UK Competition and Markets Authority (CMA).[111] The CMA subsequently accepted commitments from Google designed to ensure consistent use of data by both third parties and Google’s own digital-advertising businesses through the use of safeguards to support privacy without self-preferencing.[112] In considering how best to address legitimate privacy concerns without distorting competition, the CMA highlighted the relevance of the close partnership with the UK Information Commissioner’s Office (ICO), the public body tasked with the enforcement of the Data Protection Act 2018, which is the UK’s implementation of the GDPR.[113]

IV.   The Failure of the Integrated Approach

The call for integrating privacy into antitrust enforcement reflects the policy goal of curbing ever-increasing personal-data collection and processing by a few large online platforms, who monetize such data by selling targeted advertising. Toward this aim, competition and data-protection laws are described as synergistic, as the economic features of digital markets generate connections between market power and data power. Against this background, rather than relying on the GDPR, scholars and policymakers ask competition law to step in to address the perceived problem of data-protection authorities lacking capacity to address privacy concerns effectively, as well as the extreme difficulty of forbidding data accumulation under antitrust provisions. Therefore, rather than reflecting a natural connection, data-protection and competition laws are fundamentally obtorto collo complementary, as each are considered weak in isolation.

Four primary theories of harm have been advanced to bring antitrust and privacy issues together.[114]

According to the first theory, there is a close relationship between (the lack of) competition in digital markets and privacy violations. In a competitive market, this theory asserts, firms would compete to offer privacy-friendly products and services, but the economic features of digital markets strengthen gatekeepers’ power, regardless of their willingness to deliver privacy-enhancing solutions.[115]

The second theory centers on risks arising from potential “databases of intentions” and primarily invokes the role of merger control.[116] Under this view, mergers among companies that hold significant data assets require more stringent scrutiny, as such mergers would grant the new entity tools to better profile individuals and invade their privacy.

A further attempt to justify commingling antitrust and privacy relies on assessing the quality of products and services as privacy-friendly.[117] As consumer welfare is not solely dependent on prices and output, products and services viewed as not privacy-friendly or that intrude into users’ privacy may be considered low-quality and therefore harm consumer welfare.

Finally, it has been argued that privacy policies could be applied by antitrust enforcers when they are implemented by dominant players that rely on data as a primary input of their products and services—e.g., by forcing individuals to accept take-it-or-leave-it terms involving the unwanted collection and use of their data.[118]

This overview of EU antitrust proceedings, however, demonstrates that none of these four theories of harm has been successful and that the much-invoked integrated approach is more proclaimed than adopted in practice. Indeed, neither other NCAs nor the European Commission have ever shared the Bundeskartellamt’s stance of considering a GDPR violation as a benchmark for finding a dominant firm’s practice to be abusive. Further, in the context of merger analysis, the Commission has systematically stated that any privacy-related concerns resulting from data collection and processing are within the scope of the GDPR enforcement.

Even in Germany, the Bundeskartellamt’s approach has been sufficiently controversial to spark a clash among courts and a request for clarification from the CJEU. The recent update of the GWB seems to confirm the limits of such an approach, as the new Section 19a provides an antitrust authority with a convenient shortcut to target Facebook-like data-accumulation strategies on grounds of market contestability—namely, prohibiting rivals’ foreclosure rather than users’ privacy exploitation.

In addition, these EU antitrust proceedings demonstrate that twisting competition-law enforcement may be counterproductive. Indeed, the growing phenomenon of digital platforms adopting privacy policies as justification for potentially anticompetitive conduct does not fit the narrative of the complementarity of antitrust and privacy.[119] Emerging as a byproduct of the Facebook investigation, the Apple ATT case illustrates the intrinsic tension between these areas of law, highlighting the urgency of determining how to strike a balance between conflicting interests. From this perspective, the Facebook and Apple ATT cases are two faces of the same coin. Each results from the strategic use of privacy in antitrust proceedings by both competition authorities and digital platforms, respectively.

Moreover, the French episode of Apple ATT shows that proposing cooperation between authorities is just rhetoric unfit to resolve these tensions. It is regularly affirmed that any tension between competition and data protection law “can be reconciled through careful consideration of the issues on a case-by-case basis, with consistent and appropriate application of competition and data protection law, and through continued close cooperation” between the authorities.[120] Nonetheless, in the French Apple ATT case, the data-protection regulator’s intervention actually jeopardized the antitrust investigation, demonstrating how the different goals pursued under antitrust and privacy provisions may be irreconcilable in practice.

Finally, the EU’s solution to alleged failures by antitrust and privacy regulators in addressing data accumulation in digital markets has ultimately been crafted outside the traditional competition-law framework and according to a regulation that resolves any potential conflict between competition and data-protection policy goals once and for all. Even the DMA, however, does not fully square with any of the aforementioned theories of harm, as it introduces a pure privacy exception.[121] Indeed, tackling data collection and processing by digital gatekeepers, Article 5(2) DMA prohibits personal-data accumulation strategies unless they are compliant with the GDPR—namely, unless users have been presented with the specific choice and given consent according to data-protection rules. Therefore, rather than providing criteria to evaluate case by case how to strike a balance among the interests involved, the DMA establishes competition-policy deference to privacy, finding that, where personal-data collection and processing by large online platforms are involved, privacy is the greater good.

A. The CJEU’s Judgment in Meta

Given this background, the CJEU’s July 2023 judgment in Meta was much-awaited, representing the season finale of the German Facebook saga.[122]

The decision is in line with the opinion delivered by the Advocate General (AG) Athanasios Rantos.[123] As Rantos had argued, “conduct relating to data processing may breach competition rules even if it complies with the GDPR; conversely, unlawful conduct under the GDPR does not automatically mean that it breaches competition rules.”[124] Therefore, the lawfulness of conduct under antitrust provisions “is not apparent from its compliance or lack of compliance with the GDPR or other legal rules.”[125] Further, according to well-settled CJEU principles, the antitrust assessment requires demonstrating that a dominant undertaking used means other than those within the scope of competition on the merits and, toward this aim, the court must take account of the circumstances of the case, including the relevant legal and economic context.[126] “In that respect, the compliance or non-compliance of that conduct with the provisions of the GDPR, not taken in isolation but considering all the circumstances of the case, may be a vital clue as to whether that conduct entails resorting to methods prevailing under merit-based competition.”[127] Indeed, “access to personal data and the fact that it is possible to process such data have become a significant parameter of competition between undertakings in the digital economy. Therefore, excluding the rules on the protection of personal data from the legal framework to be taken into consideration by the competition authorities when examining an abuse of a dominant position would disregard the reality of this economic development and would be liable to undermine the effectiveness of competition law.”[128]

It follows that. “in the context of the examination of an abuse of a dominant position by an undertaking on a particular market, it may be necessary for the competition authority of the Member State concerned also to examine whether that undertaking’s conduct complies with rules other than those relating to competition law, such as the rules on the protection of personal data laid down by the GDPR.”[129]

Rantos more explicitly distinguished the hypothesis under which an antitrust authority, when prosecuting a breach of competition provisions, rules “primarily” on an infringement of the GDPR from cases in which such evaluations are merely “incidental”:

[T]he examination of an abuse of a dominant position on the market may justify the interpretation, by a competition authority, of rules other than those relating to competition law, such as those of the GDPR, while specifying that such an examination is carried out in an incidental manner and is without prejudice to the application of that regulation by the competent supervisory authorities.[130]

Given the differing objectives of competition and data-protection law, however, where an antitrust authority identifies an infringement of the GDPR in the context of finding of abuse of a dominant position, it does not replace the data-protection supervisory authorities.[131] Therefore, when examining whether an undertaking’s conduct is consistent with the GDPR, competition authorities are required to consult and cooperate sincerely with the competent data-protection authority in order to ensure consistent application of that regulation.[132] In addition, where the data-protection authority has ruled on the application of certain provisions of the GDPR with respect to the same practice or similar practices, the competition authority cannot deviate from that interpretation, although it remains free to draw its own conclusions from the perspective of applying competition law.[133]

While these principles are compelling, they do not appear conclusive in addressing the issue, for two main reasons.

First, as competition authorities have significant leeway in framing their investigations, it will be extremely difficult in practice to demonstrate that they are primarily—rather than incidentally—tackling a data-protection breach. In this regard, the German Facebook investigation represents an illustrative example. In the press release announcing the launch of the proceedings, the Bundeskartellamt stated that Facebook’s terms and conditions violated data-protection law and may “also” be regarded as abuses of a dominant position.[134] Later in the press release, however, in a section concerning the preliminary assessment, the authority changed that perspective, asserting that Facebook’s contractual terms were unfair, quite apart from any privacy infringement, and that, in assessing the competitive impact of such a strategy, it was “also” applying data-protection principles. Further, the Bundeskartellamt ascertained a privacy violation previously undetected by any data-protection authority. If the Facebook case fulfills both requirements of an incidental assessment of a privacy breach and sincere cooperation with the data-protection authority, it will be difficult to imagine any antitrust investigation not passing the bar.[135]

Second, the judgment only examines a scenario in which a GDPR infringement may occur, while not being useful to unraveling the very different situation in which the adoption of a privacy-enhancing solution is invoked as justification for anticompetitive conduct. In that case, cooperation between competition and data-protection authorities has thus far proven to be a harbinger of new issues and conflicts, rather than a panacea for all of the problems.

Finally, the CJEU also addressed another crucial topic of the integration between antitrust and privacy—that being the meaning of “consent” under the GDPR, and especially the requirement of freedom of consent. Supporters of an integrated approach find the legal basis of the privacy/antitrust marriage in the GDPR to be pivotally centered on the role assigned to freely given consent.[136] Notably, they imagine that the GDPR provides the legal basis for a link between data power and market power by stating that, among other things, there is no freely given consent to personal-data processing where there is a “clear imbalance” between the data subject and the controller.[137] In this respect, if the controller holds a dominant position on the market, it is argued that such market power could lead to a clear imbalance in the sense described in the GDPR.

According to the CJEU, however, while it may create such an imbalance, the existence of a dominant position alone cannot, in principle, render the consent invalid.[138] Notably, the fact that the operator of an online social network holds a dominant position on the social-network market does not, as such, prevent users of that social network from validly giving their consent, within the meaning of the GDPR, to the processing of their personal data by that operator. Consequently, the validity of consent should be examined on a case-by-case basis.

Moreover, as observed by Rantos, this does not imply that for market power to be relevant for GDPR enforcement, it needs to be regarded as a dominant position within the meaning of competition law.[139] Therefore, the relationship between data-protection and competition law is not one of mutual respect. While a competition authority is required to cooperate with a data-protection regulator in the case of a privacy breach, and is bound by the interpretation the latter gives of the GDPR, the converse does not apply with regard to the notion of “clear imbalance” under the GDPR. Data-protection authorities are granted significant leeway to establish market power under the GDPR.[140]

V.     Conclusion

The features of digital markets and the emergence of a few large online gatekeepers whose business models revolve around collecting and processing large amounts of data may suggest a link between market power and data power. Accordingly, scholars and policymakers have supported regulatory measures intended to promote data sharing and to empower individuals with more control over their personal data. From a different perspective, this also has led to the idea that competition and data-protection are intertwined and therefore require an integrated approach where, despite holding different objectives, antitrust enforcement should also protect privacy interests.

The integrationist movement claims that unity makes strength. According to this view, while competition and data-protection laws are, in isolation, considered unfit to safeguard their respective interests, the inclusion of privacy harms into antitrust assessments would allow competition authorities to better tackle data-accumulation strategies, and that the enforcement of antitrust rules would be more effective in ensuring data protection.

The purported complementarity, or even synergy, between competition and data-protection law appears, however, difficult to detect in practice. The only case in which a GDPR breach has been considered a proper legal basis for an antitrust intervention is the rather controversial Bundeskartellamt Facebook decision. Further, recent legislative initiatives that have introduced provisions clearly inspired by Facebook and essentially motivated by the aim of bypassing the traditional antitrust analysis (e.g., Article 5(2)DMA and Section 19a GWB) confirm the failure of the integrationist narrative and awareness that it would be impossible to endorse the Bundeskartellamt’s stance. Moreover, whether or not one would argue that the DMA represents a concrete and advanced attempt at integrating data-protection concerns in competition policy, it is worth pointing out that Article 5(2)DMA actually establishes antitrust deference toward privacy.

As if this were not enough, the idea of commingling antitrust and privacy has generated a significant side effect. As a reaction to Facebook and the DMA, some platforms have, indeed, adopted policy changes to restrict user-data tracking on their ecosystems in ways that undermine the effectiveness of rivals’ targeted advertising. The strategic use of privacy as a business justification to pursue anticompetitive advantages testifies once again to the tension between these fields of law. Further, as shown by the French Apple ATT investigation, the call for close cooperation between the authorities is often just a useless and rhetorical expedient.

The proposal to integrate competition and data-protection law in digital markets has been submitted as a much-needed boost to strengthen antitrust enforcement against gatekeepers and their data strategies. Moving away from pure efficiency-oriented assessments to embrace broader social interests, advocates claim, would help ensure more aggressive and effective antitrust enforcement. Including privacy harms in antitrust proceedings turns out, instead, to be a potential curse for competition authorities, providing the major digital players with an opportunity for regulatory gaming to undermine antitrust enforcement.

This should serve as a cautionary tale about the risks of twisting rules to achieve policy outcomes and the importance of respecting the principles and scope of different areas of law.

 

[1] See Jacques Cre?mer, Yves-Alexander de Montjoye, & Heike Schweitzer, Competition Policy for the Digital Era, (2019) Report for the European Commission, 4, available at https://ec.europa.eu/competition/publications/reports/kd0419345enn.pdf (referring to the possibility that a dominant platform could have incentives to sell “monopoly positions” to sellers by showing buyers alternatives that do not meet their needs).

[2] See Alessandro Bonatti, The Platform Dimension of Digital Privacy, forthcoming in The Economics of Privacy, (Avi Goldfard & Catherine Tucker, eds.), University of Chicago Press; Daron Acemoglu, Ali Makhdoumi, Azarakhsh Malekian, & Asu Ozdaglar, Too Much Data: Prices and Inefficiencies in Data Markets, 14 Am Econ J Microecon 218 (2022); Shota Ichihashi, The Economics of Data Externalities, 196 J. Econ. Theory 105316 (2021); Omri Ben-Shahar, Data Pollution, 11 J. Leg. Anal. 104 (2019); Jay Pil Choi, Doh-Shin Jeon, & Byung-Cheol Kim, Privacy and Personal Data Collection with Information Externalities, 173 J. Public Econ. 113 (2019); see also Jeanine Miklós-Thal, Avi Goldfarb, Avery M. Haviv, & Catherine Tucker, Digital Hermits, NBER Working Paper No. 30920 (2023), (arguing that, as advances in machine learning allow firms to infer more accurately sensitive data from data that appears otherwise innocuous, users’ data-sharing decisions polarize between a group of users choosing to share no data and another group choosing to share all their data (sensitive or not sensitive)).

[3] See, e.g., Competition and Data Protection in Digital Markets: A Joint Statement Between the CMA and the ICO, UK Competition and Markets Authority and Information Commissioner’s Office, (2021) 5, https://www.gov.uk/government/publications/cma-ico-joint-statement-on-competition-and-data-protection-law [hereinafter “CMA-ICO Joint Statement”]; Privacy and Competitiveness in the Age of Big Data: The Interplay Between Data Protection, Competition Law and Consumer Protection in the Digital Economy, European Data Protection Supervisor (2014) https://edps.europa.eu/data-protection/our-work/publications/opinions/privacy-and-competitiveness-age-big-data_en.

[4] See, e.g., Investigation of Competition in Digital Markets’, Majority Staff Reports and Recommendations, U.S. House Energy and Commerce Subcommittee on Antitrust, Commercial, and Administrative Law (2020), 28, available at https://www.govinfo.gov/content/pkg/CPRT-117HPRT47832/pdf/CPRT-117HPRT47832.pdf [hereinafter, “Antitrust Subcommittee Report”]; Frank Pasquale, Privacy, Antitrust, and Power, 20 George Mason Law Rev. 1009 (2013); Pamela J. Harbour & Tara I. Koslov, Section 2 in a Web 2.0 World: An Expanded Vision of Relevant Product Markets, 76 Antitrust Law J. 769 (2010).

[5] See, e.g., Antitrust Subcommittee Report, supra note 4, 39, citing Howard A. Shelanski, Information, Innovation, and Competition Policy for the Internet, 161 U. Pa. L. Rev. 1663 (2013), to argue that “[t]he persistent collection and misuse of consumer data is an indicator of market power in the digital economy”; European Data Protection Supervisor, supra note 3, 35, stating that, where there are a limited number of operators or when one operator is dominant, “the concept of consent becomes more and more illusory;” see also, Online Platforms and Digital Advertising, UK Competition and Markets Authority (2020) para. 6.26, available at https://assets.publishing.service.gov.uk/media/5fa557668fa8f5788db46efc/Final_report_Digital_ALT_TEXT.pdf, stating that “[i]n a more competitive market, we would expect that it would be clear to consumers what data is collected about them and how it is used and, crucially, the consumer would have more control. We would then expect platforms to compete with one another to persuade consumers of the benefits of sharing their data or adopt different business models for more privacy-conscious consumers.” However, see also James C. Cooper & John M. Yun, Antitrust & Privacy: It’s Complicated, J. Law Technol. Policy 343 (2022), finding no systematic relationship between privacy ratings and market concentration.

[6] See, e.g., Report on Social Media Services, Australian Competition & Consumer Commission (2023), 128, https://www.accc.gov.au/media-release/accc-report-on-social-media-reinforces-the-need-for-more-protections-for-consumers-and-small-business; Rebecca Kelly Slaughter, The FTC’s Approach to Consumer Privacy, Federal Trade Commission (2019) 3, available at https://www.ftc.gov/system/files/documents/public_statements/1513009/slaughter_remarks_at_ftc_approach_to_consumer_privacy_hearing_4-10-19.pdf.

[7] Antitrust Subcommittee Report, supra note 4, 28; Maurice E. Stucke & Ariel Ezrachi, When Competition Fails to Optimise Quality: A Look at Search Engines, 18 Yale J. Law Technol. 70 (2016).

[8] Pamela J. Harbour, Dissenting Statement in the Matter of Google/DoubleClick, Federal Trade Commission (2007), 4, available at https://www.ftc.gov/sites/default/files/documents/public_statements/statement-matter-google/doubleclick/071220harbour_0.pdf.

[9] For a critical perspective, see Giuseppe Colangelo, In Fairness We (Should Not) Trust: The Duplicity of the EU Competition Policy Mantra in Digital Markets, Antitrust Bulletin (forthcoming).

[10] See Cristina Caffarra & Johnny Ryan, Why Privacy Experts Need a Place at the Antitrust Table, ProMarket (2021) https://www.promarket.org/2021/07/28/privacy-experts-antitrust-data-harms-digital-platforms, arguing that “[t]here is a market power crisis and a privacy crisis, and they compound each other.”

[11] See, e.g., Wolfgang Kerber & Karsten K. Zolna, The German Facebook Case: The Law and Economics of the Relationship Between Competition and Data Protection Law, 54 Eur. J. Law Econ. 217 (2022), arguing that digital markets exhibit two types of market failure (i.e., competition problems on the one hand, and information and behavioral problems on the other) and suggesting that the effectiveness of enforcement should also be an important criterion for determining which policy should deal with a case if both laws can be applied. Accordingly, if data-protection law is uncapable of dealing effectively with privacy issues and competition law appears better able to overcome this challenge, then the competition authority should step in as the lead enforcer. On the enforcement failure of old and new data-protection regimes, see Filippo Lancieri, Narrowing Data Protection’s Enforcement Gap, 74 Maine Law Rev. 15 (2022).

[12] For an overview of various theories that have emerged in the literature, see Erika M. Douglas, The New Antitrust/Data Privacy Law Interface, Yale L.J. F. 647 (2021); Giuseppe Colangelo & Mariateresa Maggiolino, Data Protection in Attention Markets: Protecting Privacy Through Competition? 8 J. Eur. Compet. Law Pract. 363 (2017). See also, Consumer Data Rights and Competition Background: Note by the Secretariat, OECD (2020), available at https://one.oecd.org/document/DAF/COMP(2020)1/en/pdf, and Geoffrey A. Manne & Ben Sperry, The Problems and Perils of Bootstrapping Privacy and Data into an Antitrust Framework, CPI Antitrust Chronicle 2 (2015), exploring the difficulties associated with incorporating consumer-data considerations into competition policy and enforcement.

[13] See Noah Joshua Phillips, Remarks at the Mentor Group Paris Forum, Federal Trade Commission (2019), 13-15, https://www.ftc.gov/news-events/news/speeches/remarks-commissioner-noah-joshua-phillips-mentor-group-paris-forum; and Maureen K. Ohlhausen & Ben Rossen, Privacy and Competition: Discord or Harmony? 67 Antitrust Bulletin 552 (2022).

[14] See, e.g., Susan Athey, Christian Catalini, & Catherine E. Tucker, The Digital Privacy Paradox: Small Money, Small Costs, Small Talk, NBER Working Paper No. 23488 (2017); Alessandro Acquisti, Curtis Taylor, & Liad Wagman, The Economics of Privacy, 54 J Econ Lit 442 (2016). See also, Avi Goldfarb & Catherine Tucker, Shifts in Privacy Concerns, 102 Am Econ Rev: Papers and Proceedings 349 (2012), noting that individuals’ privacy preferences evolve over time; notably, as people grow older. they get more privacy-conscious. See also Jeffrey T. Prince & Scott Wallsten, How Much Is Privacy Worth Around the World and Across Platforms?, 31 J Econ Manag Strategy. 841 (2022), estimating individuals’ valuation of online privacy across countries (United States, Mexico, Brazil, Colombia, Argentina, and Germany) and data types (personal information on finances, biometrics, location, networks, communications, and web browsing), and finding that Germans value privacy more than people in the United States and Latin American countries do and that, across countries, people most value privacy for financial and biometric information.

[15] Giuseppe Colangelo & Mariateresa Maggiolino, Antitrust Über Alles. Whither Competition Law After Facebook?, 42 World Competition Law and Economics Review 355 (2019).

[16] See, e.g., Federal Trade Commission v. Facebook, Case No. 1:20-cv-03590 (D.D.C. 2021), para. 163, arguing that “[t]he benefits to users of additional competition include some or all of the following: … variety of data protection privacy options for users, including, but not limited to, options regarding data gathering and data usage practices”; and U.S. et al. v. Google, No. 1:20-cv-03010 (D.D.C. 2020), para. 167, arguing that “[b]y restricting competition in general search services, Google’s conduct has harmed consumers by reducing the quality of general search services (including dimensions such as privacy, data protection, and use of consumer data), lessening choice in general search services, and impeding innovation.” See also, Executive Order on Promoting Competition in the American Economy, The White House (2021), https://www.whitehouse.gov/briefing-room/presidential-actions/2021/07/09/executive-order-on-promoting-competition-in-the-american-economy, urging federal agencies to pay closer attention to “unfair data collection and surveillance practices that may damage competition, consumer autonomy, and consumer privacy.”

[17] See Margrethe Vestager, Tearing Down Big Tech’s Walls, Project Syndicate (2023) https://www.project-syndicate.org/commentary/eu-big-tech-legislation-digital-services-markets-by-margrethe-vestager-2023-03, stating that “[w]e are proud that Europe has become the cradle of tech regulation globally.”

[18] Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC, [2016] OJ L 119/1, Article 20. See Bert-Jaap Koops, The Trouble with European Data Protection Law, 4 Int. Data Priv. Law 4, 44 (2014), arguing that “[b]y its nature, data portability would be more at home in the regulation of unfair business practices or electronic commerce, or perhaps competition law—all domains that regulate abuse of power by commercial providers to lock-in consumers.”

[19] Bundeskartellamt, 7 February 2019, Case B6-22/16.

[20] CMA-ICO Joint Statement, supra note 3, 18-19.

[21] Ibid., 23.

[22] Douglas, supra note 12.

[23] See, e.g., hiQ Labs v. LinkedIn, 938 F.3d 985 (9th Cir. 2019), affirmed 31 F.4th 1180 (9th Cir. 2022), allowing hiQ continued access to LinkedIn users’ profile information in the name of competition. Notably, the court pointed out that hiQ’s entire business depends on being able to access public LinkedIn member profiles and that, at the same time, there is little evidence that LinkedIn users who choose to make their profiles public actually maintain an expectation of privacy with respect to the information that they post publicly. Therefore, “even if some users retain some privacy interests in their information notwithstanding their decision to make their profiles public, we cannot, on the record before us, conclude that those interests—or more specifically, LinkedIn’s interest in preventing hiQ from scraping those profiles—are significant enough to outweigh hiQ’s interest in continuing its business, which depends on accessing, analyzing, and communicating information derived from public LinkedIn profiles.”

[24] See, e.g., Epic Games v. Apple, 559 F. Supp. 3d 898, 922–23 (N.D. Cal. 2021), affirmed in part and reversed in part 2023 U.S. App. LEXIS 9775 (9th Cir. 2023), finding that Apple’s restrictions are designed to improve device security and user privacy; and District Court (Rechtbank) of Rotterdam, 24 December 2021, Case No. ROT 21/4781 and ROT 21/4782, dismissing the arguments that Apple’s in-app payment system is needed for security and privacy.

[25] See, e.g., Autorità Garante della Concorrenza e del Mercato, 11 May 2023, Case A561; Press Release, Bundeskartellamt Reviews Apple’s Tracking Rules for Third-Party Apps, Bundeskartellamt (2022), https://www.bundeskartellamt.de/SharedDocs/Meldung/EN/Pressemitteilungen/2022/14_06_2022_Apple.html; Autorité de la Concurrence, 17 March 2021, Decision 21-D-07, Apple, https://www.autoritedelaconcurrence.fr/en/decision/regarding-request-interim-measures-submitted-associations-interactive-advertising-bureau; Apple – The President of UOKiK Initiates an Investigation, Urz?d Ochrony Konkurencji i Konsumentów (2021), https://uokik.gov.pl/news.php?news_id=18092. See also, Mobile Ecosystems: Market Study Final Report, UK Competition and Markets Authority (2022) Chapter 6 and Appendix J, https://www.gov.uk/cma-cases/mobile-ecosystems-market-study.

[26] Phillips, supra note 13, 15.

[27] CJEU (Grand Chamber), 4 July 2023, Case C-252/21, Meta Platforms v. Bundeskartellamt, EU:C:2023:537.

[28] See, e.g., European Data Protection Supervisor, supra note 3, 26, stating that “clearly power is achieved through control over massive volumes of data on service users.”

[29] See GDPR, supra note 18, Recital 7.

[30] European Data Protection Supervisor, supra note 3, 26.

[31] CMA-ICO Joint Statement, supra note 3, 5.

[32] Nicholas Economides & Ioannis Lianos, Restrictions on Privacy and Exploitation in the Digital Economy: A Market Failure Perspective, 17 J. Competition Law Econ. 765 (2021).

[33] Competition Law and Data, Autorité de la Concurrence and Bundeskartellamt (2016), 25, available at https://www.bundeskartellamt.de/SharedDocs/Publikation/DE/Berichte/Big%20Data%20Papier.pdf?__blob=publicationFile&v=2.

[34] Economides & Lianos, supra note 32.

[35] Ibid., 770-771.

[36] GDPR, supra note 18, Article 4(11).

[37] Ibid., Article 7.

[38] Autorité de la Concurrence and Bundeskartellamt, supra note 33, 25. See also Australian Competition & Consumer Commission, supra note 6, 41, arguing that exploitative conduct involves the use of market power to “give less and charge more” and that, for consumers, this may involve lower-quality services or the excessive costs of providing personal data to access services.

[39] Autorité de la Concurrence and Bundeskartellamt, supra note 33, 24.

[40] Facebook, supra note 19. For a comment on the different episodes of the Facebook saga, see, e.g., Kerber and Zolna, supra note 11; Anne C. Witt, Excessive Data Collection as a Form of Anticompetitive Conduct: The German Facebook Case, 66 Antitrust Bulletin 276 (2021); Marco Botta and Klaus Wiedemann, The interaction of EU competition, consumer, and data protection law in the digital economy: the regulatory dilemma in the Facebook odyssey, 64 Antitrust Bulletin 428 (2019); Colangelo and Maggiolino, supra note 15.

[41] Facebook, supra note 19, paras. 778-780 and 792, stating that users could not have expected that the platform would analyse data emanating from other websites and, when they had the opportunity to read Facebook’s terms of service, users could barely understand the reasons why Facebook was processing and combining their data since Facebook’s terms of service were very complex, replete with links to other explanations, and significantly too opaque to allow ordinary users to understand its data policy.

[42] Ibid., section B(II), stating that voluntary consent to users’ information being processed cannot be assumed if their consent is a prerequisite for using the Facebook service in the first place.

[43] Ibid., para. 645, highlighting that GDPR’s Recitals 42 and 43 state that consent is not freely given where consumers have no alternative options, or where there are clear power imbalances. See also Inge Graef & Sean Van Berlo, Towards Smarter Regulation in the Areas of Competition, Data Protection and Consumer Law: Why Greater Power Should Come with Greater Responsibility, 12 Eur. J. Risk Regul. 674 (2021), arguing that, in formulating this two-way interaction between data-protection law and competition law, the Bundeskartellamt has not only incorporated data-protection principles into its competition analysis, but similarly transferred elements of competition law into data protection; and Orla Lynskey, Grappling With ‘Data Power’: Normative Nudges From Data Protection and Privacy, 20 Theor. Inq. Law 189 (2019), supporting the view that the GDPR provides a normative foundation for imposing a special responsibility on controllers holding data power, analogous to the special responsibility that competition law imposes on dominant firms.

[44] See Press Release, Bundeskartellamt Prohibits Facebook From Combining User Data From Different Sources, Bundeskartellamt (2019), https://www.bundeskartellamt.de/SharedDocs/Publikation/EN/Pressemitteilungen/2019/07_02_2019_Facebook.html;jsessionid=8A581062B36687451A3D1E7A5C256390.2_cid378?nn=3600108, arguing that “[t]he combination of data sources substantially contributed to the fact that Facebook was able to build a unique database for each individual user and thus to gain market power.”

[45] Facebook FAQs, Bundeskartellamt (2019), 6, https://www.bundeskartellamt.de/SharedDocs/Publikation/EN/Pressemitteilungen/2019/07_02_2019_Facebook_FAQs.pdf?__blob=publicationFile&v=6.

[46] See Colangelo & Maggiolino, supra note 15.

[47] Press Release, Meta (Facebook) Introduces New Accounts Center – An Important Step in the Implementation of the Bundeskartellamt’s Decision, Bundeskartellamt (2023), https://www.bundeskartellamt.de/SharedDocs/Meldung/EN/Pressemitteilungen/2023/07_06_Meta_Daten.html.

[48] Colangelo & Maggiolino, supra note 15.

[49] OLG Du?sseldorf, 26 August 2019, Case VI-Kart 1/19 (V), 10.

[50] Ibid., 11.

[51] Ibid., 12.

[52] Bundesgerichtshof, 23 June 2020, Case KVR 69/19.

[53] Ibid., para. 58.

[54] Ibid..

[55] Ibid., para. 86.

[56] Ibid., para. 94.

[57] OLG Du?sseldorf, 24 March 2021, Case Kart 2/19 (V).

[58] Meta, supra note 27.

[59] Autorità Garante della Concorrenza e del Mercato, 10 December 2018, Case PS11112, Facebook-Condivisione dati con terzi.

[60] Nederlandstalige Rechtbank van Eerste Aanleg te Brussel, 16 February 2018.

[61] Regulation (EU) 2022/1925 on contestable and fair markets in the digital sector and amending Directives (EU) 2019/1937 and (EU) 2020/1828 (Digital Markets Act) [2022] OJ L 265/1, Article 5(2).

[62] Ibid., Recital 36.

[63] Ibid., Recital 37.

[64] For critical analysis of this issue and more generally on the controversial relationship between the DMA and the GDPR, see Alba Ribera Marti?nez, The Circularity of Consent in the DMA: A Close Look into the Prejudiced Substance of Articles 5(2) and 6(10), Concorrenza e Mercato (forthcoming). See also Marco Botta & Danielle Da Costa Leite Borges, User’s Consent Under Art. 5(2) Digital Markets Act (DMA): Exploring the Complex Relationship Between the DMA and the GDPR, EUI RSC Working Paper (forthcoming), arguing that, while respecting the general criteria indicated by Art. 7 GDPR, the users’ consent under Art. 5(2) DMA should be adjusted to the DMA peculiarity and that the DMA should be considered as a lex specialis, taking precedence over the GDPR in case of conflict. Previously, the revised e-Privacy Directive introduced an opt-in system for website cookies: see Directive 2009/136/EC amending Directive 2002/22/EC on universal service and users’ rights relating to electronic communications networks and services, Directive 2002/58/EC concerning the processing of personal data and the protection of privacy in the electronic communications sector and Regulation (EC) No 2006/2004 on cooperation between national authorities responsible for the enforcement of consumer protection laws, (2009) OJ L 337/11, Article 5(3).

[65] DMA, supra note 61, Recital 72.

[66] Press Release, Statement of Objections Issued Against Google’s Data Processing Terms, Bundeskartellamt (2023), https://www.bundeskartellamt.de/SharedDocs/Meldung/EN/Pressemitteilungen/2023/11_01_2023_Google_Data_Processing_Terms.html.

[67] Ibid.

[68] Entwurf Eines Gesetzes zur A?nderung des Gesetzes Gegen Wettbewerbsbeschra?nkungen fu?r ein Fokussiertes, Proaktives und Digitales Wettbewerbsrecht 4.0 und Anderer Wettbewerbsrechtlicher Bestimmungen, Bundestag (2020), available at https://dserver.bundestag.de/btd/19/234/1923492.pdf.

[69] See Giuseppe Colangelo, The European Digital Markets Act and Antitrust Enforcement: A Liaison Dangereuse, 47 Eur. Law Rev. 597 (2022).

[70] Bundeskartellamt, 30 December 2021, Case B7-61/21, https://www.bundeskartellamt.de/SharedDocs/Entscheidung/EN/Entscheidungen/Missbrauchsaufsicht/2022/B7-61-22.html.

[71] Bundeskartellamt, 5 October 2023, Case B7-70/21.

[72] The Bundeskartellamt identified four main deficiencies to support its prohibition of Google’s data-processing terms (ibid., paras. 50-54). Namely, because of a lack of sufficient granularity in the settings options, users could not opt out of cross-service data processing or limit data processing to the Google service in which the data were generated. End users could only choose between accepting personalization across all services or opting out of personalization altogether. Further, users were not given sufficient choice within the meaning of Section 19a GWB, as in some cases, Google offers users no choice at all as to data-processing options. Furthermore, the settings options that Google offered lacked sufficient transparency—i.e., sufficiently concise and comprehensible indications providing users with sufficient information as to whether, how, and for what purpose Google processes data across services. Finally, when creating a Google account, a user’s options consent or reject consent were not equivalent.

[73] Ibid., para. 78.

[74] See, e.g., Inge Graef, Damian Clifford, & Peggy Valcke, Fairness and Enforcement: Bridging Competition, Data Protection, and Consumer Law, 8 Int. Data Priv. Law 200, 219-220 (2018).

[75] European Commission, 11 March 2008, Case COMP/M.4731. Previously, in a different setting (i.e., discussing an exchange-of-information case), the CJEU (23 November 2006, Case C-238/05, Asnef-Equifax, EU:C:2006:734, para. 63) affirmed that “any possible issues relating to the sensitivity of personal data are not, as such, a matter for competition law, they may be resolved on the basis of the relevant provisions governing data protection.”

[76] Google/DoubleClick, supra note 75, para. 364. See also para. 365, where the Commission noted that “that the combination of data about searches with data about users’ web surfing behaviour [wa]s already available to a number of Google’s competitors.”

[77] Ibid., para. 368.

[78] European Commission, 3 October 2014, Case COMP/M.7217.

[79] Ibid., para. 189.

[80] Ibid., para. 164.

[81] European Commission, 6 December 2016, Case COMP/M.8124.

[82] Ibid., fn 330.

[83] Ibid., para. 180.

[84] Ibid., para. 177.

[85] Ibid., para. 178.

[86] Ibid., para. 179.

[87] European Commission, 6 September 2018, Case COMP/M.8788, paras. 221 and 314.

[88] European Commission, 17 December 2020, Case COMP/M.9660.

[89] See, Statement on Privacy Implications of Mergers, European Data Protection Board (2020), available at https://edpb.europa.eu/sites/default/files/files/file1/edpb_statement_2020_privacyimplicationsofmergers_en.pdf, arguing that “(t)here are concerns that the possible further combination and accumulation of sensitive personal data regarding people in Europe by a major tech company could entail a high level of risk to the fundamental rights to privacy and to the protection of personal data.”

[90] Google/Fitbit, supra note 84, para. 410.

[91] Ibid., fn. 299.

[92] Ibid., fn. 300.

[93] European Commission, 21 December 2021, Case COMP/M.10290.

[94] European Commission, 27 January 2022, Case COMP/M.10262.

[95] Press Release, Commission Clears Creation of a Joint Venture by Deutsche Telekom, Orange, Telefo?nica and Vodafone, European Commission (2023), https://ec.europa.eu/commission/presscorner/detail/en/IP_23_721. Previously, in a similar vein, see European Commission, 4 September 2012, Case COMP/M.6314, Telefo?nica UK/Vodafone UK/ Everything Everywhere/ JV.

[96] UK Competition and Markets Authority, supra note 25, Appendix J.

[97] See, e.g., Nils Wernerfelt, Anna Tuchman, Bradley Shapiro, & Robert Moakler, Estimating the Value of Offsite Data to Advertisers on Meta, SSRN (2022) https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4176208, finding that the costs to acquire new consumers through targeted advertisements increases tremendously without access to offsite data. On the value of external data and on the relevance (especially for small and medium-sized players) of gaining access to external data from large players in the marketplace, see also Xiaoxia Lei, Yixing Chen, & Ananya Sen, The Value of External Data for Digital Platforms: Evidence from a Field Experiment on Search Suggestions, SSRN (2023) https://ssrn.com/abstract=4452804.

[98] For a review of the economic literature on the GDPR and its unintended consequences on firms’ performance, innovation, competition, and market concentration, as well as its impact on personalized marketing channels, see Garrett A. Johnson, Economic Research on Privacy Regulation: Lessons from the GDPR and Beyond, (forthcoming) in The Economics of Privacy, supra note 2.

[99] See Reinhold Kesler, Digital Platforms Implement Privacy-Centric Policies: What Does It Mean for Competition?, CPI Antitrust Chronicle 1 (2022), and Daniel Sokol & Feng Zhu, Harming Competition and Consumers Under the Guise of Protecting Privacy: Review of Empirical Evidence, CPI Antitrust Chronicle 12 (2022), for a review of economic studies showing that advertising revenues decrease with limited tracking abilities and providing empirical evidence of reduced user tracking on Apple as a consequence of the ATT policy. See also Wernerfelt, Tuchman, Shapiro, & Moakler, supra note 97, finding that restrictions on offsite data particularly harms smaller advertisers.

[100] See Sokol & Zhu, supra note 99. See also Kesler, Digital Platforms Implement Privacy-Centric Policies: What Does It Mean For Competition?, supra note 99, suggesting that the ATT brings back paid apps and reinforces the industry trend toward more in-app payments. With regard to the possibility that the ATT framework may affect the developers’ incentives in the Apple ecosystem, see also Cristobal Cheyre, Benjamin T. Leyden, Sagar Baviskar, & Alessandro Acquisti, The Impact of Apple’s App Tracking Transparency Framework on the App Ecosystem, CESifo Working Paper No. 10456 (2023), https://www.cesifo.org/en/publications/2023/working-paper/impact-apples-app-tracking-transparency-framework-app-ecosystem, finding that developers did not withdraw from the market after ATT and instead adapted to operate under the new conditions. Further, see Ding Li & Hsin-Tien Tsai, Mobile Apps and Targeted Advertising: Competitive Effects of Data Exchange, SSRN (2022), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4088166, finding that apps’ inability to use tracking for advertising affects large apps to a greater degree, as they experience larger declines than smaller apps in download numbers and innovation.

[101] Autorité de la Concurrence, supra note 25.

[102] Bundeskartellamt, supra note 25.

[103] Autorità Garante della Concorrenza e del Mercato, supra note 25.

[104] Urz?d Ochrony Konkurencji i Konsumentów, supra note 25.

[105] UK Competition and Markets Authority, supra note 25.

[106] Autorità Garante della Concorrenza e del Mercato, supra note 25, para. 47.

[107] Autorité de la Concurrence, supra note 25. In a similar vein, see Anzo DeGiulio, Hanoom Lee, & Eleanor Birrell, “Ask App not to Track”: The Effect of Opt-In Tracking Authorization on Mobile Privacy, in Emerging Technologies for Authorization and Authentication (Andrea Saracino and Paolo Mori, eds.), Springer Cham (2022), 152, finding that opt-in authorizations are effective at enhancing data privacy. Conversely, see Chongwoo Choe, Noriaki Matsushima, & Shiva Shekhar, The Bright Side of the GDPR: Welfare-Improving Privacy Management, CESifo Working Paper No. 10617 (2023) https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4558426, distinguishing among platforms’ business models and arguing that, if the firm’s revenue is largely usage-based rather than data-based, then both the firm’s profit and consumer surplus increase after the GDPR’s opt-in requirement, while if the firm’s revenue is largely from data monetization, then the opt-in can reduce the firm’s profit and consumer surplus.

[108] See also Catherine Armitage, Nick Botton, Louis Dejeu-Castang, & Laureline Lemoine, Study on the Impact of Recent Developments in Digital Advertising on Privacy, Publishers and Advertisers, AWO Belgium (2023) Report for the European Commission, 227, https://op.europa.eu/en/publication-detail/-/publication/8b950a43-a141-11ed-b508-01aa75ed71a1/language-en, arguing that consent prompts under the ATT policy are user-friendly, easily accessible, comprehensible and actionable; and UK Competition and Markets Authority, supra note 25, para. 6.163, acknowledging the privacy benefits associated with the introduction of ATT, as it enhances users’ control over their personal data and significantly improves developers’ compliance with data-protection law.

[109] Press Release, Commission Opens Investigation into Possible Anticompetitive Conduct by Google in the Online Advertising Technology Sector, European Commission (2021), https://ec.europa.eu/commission/presscorner/detail/en/ip_21_3143.

[110] Ibid.

[111] Press Release, Investigation into Google’s ‘Privacy Sandbox’ Browser Changes, UK Competition and Markets Authority (2021), https://www.gov.uk/cma-cases/investigation-into-googles-privacy-sandbox-browser-changes.

[112] Ibid.

[113] See also UK Competition and Markets Authority, supra note 25, para. 10.19, stating that “[w]orking closely with the ICO, the CMA now has a role in overseeing the development of Google’s proposals for replacements to third-party cookies, so that they protect privacy without unduly restricting competition and harming consumers.”

[114] Colangelo & Maggiolino, supra note 12.

[115] See, e.g., UK Competition and Markets Authority, supra note 5; Antitrust Subcommittee Report, supra note 4; Pasquale, supra note 4; Harbour & Koslov, supra note 4.

[116] Harbour, supra note 8.

[117] Antitrust Subcommittee Report, supra note 4; Stucke & Ezrachi, supra note 7.

[118] See Autorité de la Concurrence and Bundeskartellamt, supra note 33. See also Australian Competition & Consumer Commission, supra note 6; Slaughter, supra note 6.

[119] Douglas, supra note 12, 667.

[120] See, e.g., CMA-ICO Joint Statement, supra note 3, 26.

[121] At best, it may be argued that the DMA, supra note 61, Recitals 36 and 72, supports the theory of harm that, because of network effects and other structural features of digital markets, the strengthening of gatekeepers’ power lowers their incentives to compete through offering high levels of privacy. These Recitals consider that ensuring data protection facilitates contestability of core platform services by avoiding the risks that gatekeepers raise barriers to entry and allow other undertakings to differentiate themselves better through the use of superior privacy guarantees.

[122] Meta, supra note 27.

[123] Opinion of the Advocate General Athanasios Rantos, 20 September 2022, Case C-252/21, EU:C:2022:704.

[124] Ibid., fn 18.

[125] Ibid., para. 23.

[126] See CJEU, 17 February 2011, Case C-52/09, Konkurrensverket v. TeliaSonera Sverige AB, EU:C:2011:83; 27 March 2012, Case C-209/10, Post Danmark A/S v. Konkurrencerådet, EU:C:2012:172; 6 October 2015, Case C-23/14, Post Danmark A/S v. Konkurrencerådet (Post Danmark II) EU:C:2015:651; 6 September 2017, Case C-413/14 P, Intel v. Commission, EU:C:2017:632; 30 January 2020, Case C-307/18, Generics (UK) and Others v. Competition and Markets Authority, EU:C:2020:52; 25 March 2021, Case C-152/19 P, Deutsche Telekom v. Commission (Deutsche Telekom II), EU:C:2021:238; 12 May 2022, Case C-377/20, Servizio Elettrico Nazionale SpA v. Autorità Garante della Concorrenza e del Mercato, EU:C:2022:379.

[127] Meta, supra note 27, para. 47, quoting Rantos, supra note 123, para. 23.

[128] Meta, supra note 27, para. 51.

[129] Ibid., para. 48.

[130] Rantos, supra note 123, para. 24.

[131] Meta, supra note 27, para. 49.

[132] Ibid., paras. 52 and 54.

[133] Ibid., para. 56. See also Rantos, supra note 120, paras. 29-30.

[134] See Giuseppe Colangelo & Mariateresa Maggiolino, Data Accumulation and the Privacy-Antitrust Interface: Insights from the Facebook Case, 8 Int. Data Priv. Law 224 (2018).

[135] See also Peter Georg Picht, CJEU on Facebook: GDPR Processing Justifications and Application Competence, SSRN (2023) 3, https://ssrn.com/abstract=4521320, arguing that it is doubtful whether informal communications, as apparently held by the Bundeskartellamt with one of the competent GDPR authorities, sufficiently protect party rights.

[136] See, e.g., Klaus Wiedemann, Data Protection and Competition Law Enforcement
in the Digital Economy: Why a Coherent and Consistent Approach is Necessary
, 52 IIC 915 (2021), arguing that the regulation of consent to the processing of personal data under the GDPR serves as a dogmatic link between data-protection and competition law, as the freedom to choose granted by the GDPR to users whose personal data are monetized shares significant overlaps with the economic freedom acknowledged in competition-law jurisprudence.

[137] GDPR, supra note 18, para. 74.

[138] Meta, supra note 27, paras. 147 and 149. See also Rantos, supra note 123, para. 75.

[139] Rantos, supra note 123, para. 75.

[140] For an analysis of the critical implications, see Alessia Sophia D’Amico, Market Power and the GDPR: Can Consent Given to Dominant Companies Ever Be Freely Given?, SSRN (2023), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4492347. See also Peter Georg Picht & Ce?dric Akeret, Back to Stage One? – AG Rantos’ Opinion in the Meta (Facebook) Case, SSRN (2023), 4, https://ssrn.com/abstract=4414591, considering the question of whether GDPR market power can be not only less than competition-law dominance but also of a different nature—e.g., based on a set of parameters that would not suffice, as such, to establish market power in the competition-law sense.

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Ms Vestager: Do Not Tear Down This Wall

The European Commission appears resolved to tear down Apple’s “walled garden.” Following a complaint filed by Spotify, the Commission has already fined Apple an exorbitant €1.8 billion for allegedly abusing its dominant position in the market for distributing streaming-music apps to iPhone and iPad users (a case where Apple was found to be dominant in a narrowly defined product market encompassing only its own products).

Read the full piece here.

TOTM

The Broken Promises of Europe’s Digital Regulation

If you live in Europe, you may have noticed issues with some familiar online services. From consent forms to reduced functionality and new fees, there is a sense that platforms like Amazon, Google, Meta, and Apple are changing the way they do business. 

Many of these changes are the result of a new European regulation called the Digital Markets Act (DMA), which seeks to increase competition in online markets. Under the DMA, so-called “gatekeepers” must allow rivals to access their platforms. Having taken effect March 7, firms now must comply with the regulation, which explains why we are seeing these changes unfold today.

Read the full piece here.

TOTM

Network Effects and Interoperability

Background: The European Union’s Digital Markets Act (DMA), which went into effect in November 2022,  requires online platforms deemed to be “gatekeepers” to make their services interoperable. Interoperability refers to the ability of different systems, devices, or applications to communicate and exchange information. Importantly, the DMA envisions horizontal interoperability for messaging services, as well as vertical interoperability obligations. These include the ability to install third-party app stores and to install applications through sideloading, along with ensuring access to operating systems’ critical functionalities and specific devices’ hardware capabilities.

However… While interoperability requirements can reduce switching costs between platforms and possibly  help consumers avoid being “locked-in” to inferior products, the net effects on new technology and greater competition are mostly speculative. Claims that mandatory interoperability is a “super tool” for platform competition rely on excessive switching costs between platforms effectively serving as a barrier to entry. The rise of new social networks like TikTok and messaging services like Discord suggests that network effects may be less pervasive than previously thought. Many consumers are perfectly comfortable with “multi-homing” and using multiple platforms. 

Network Effects Are Everywhere; Network Harms Are More Specific

Consumers in any market—not exclusively or even predominantly digital markets—strike a balance between using multiple providers (multi-homing) and remaining loyal to just one. Network effects can give incumbents an advantage over challengers, but identifying that a given market has network effects does not, in itself, justify mandating interoperability. For any potential interoperability mandate, we must ask how costly it is for consumers to multi-home. 

For example, a consumer may find it low-cost to download multiple apps—such as Zelle, PayPal, or Venmo—that each allow one to send money to a friend. By contrast, it may be quite costly to gain followers on a new social-media platform. Interoperability mandates have tended to focus on markets that already have low switching costs, hence limiting potential gains.

Lock-In Can Increase Competition

We say a consumer is “locked-in” when high switching costs make it difficult for them to switch suppliers even when quality changes. But markets subject to lock-in may still see fierce competition for users. Companies compete upfront to attract such consumers through tactics like penetration pricing, introductory offers, and price wars. This “competition for the market” can effectively substitute for standard compatible competition and might even be more intense, as it reduces differentiation. It is not a simple linear relationship, where lower switching costs are always better for consumers.

Interoperability Isn’t Always Good

Interoperability proponents argue that it levels the playing field between tech giants and smaller competitors. The debate often imagines a low-quality incumbent using lock-in to keep a high-quality challenger at bay. But we don’t necessarily want everything to be interoperable. It would be a problem if, e.g., everyone’s door keys were interoperable. The analogous problem in tech is cybersecurity. More interconnected systems are more vulnerable to cyberattacks and data breaches. Mandating interoperability, such as between messaging services, can inadvertently expose users to greater security risks by creating additional points of access for bad actors.

Static Standards and Dynamic Markets

There are many examples of interoperability resulting from the voluntary adoption of standards. Credit-card companies manage vast, interoperable payment networks; screwdrivers work with screws made by various manufacturers; and U.S. colleges accept credits from other institutions. 

Interoperability also tends to evolve over time and regulators should not imagine the current system will last forever. Bluetooth was initially developed for wireless communication between devices like headsets and phones, but has evolved to also enable seamless connectivity among various speakers, keyboards, smartwatches, and so forth—all from different manufacturers. This standardization has greatly simplified wireless connections and improved user experience.

Calculate Costs in Addition to Benefits

While a literature review on switching costs and network effects by esteemed scholars Joseph Farrell and Paul Klemperer concluded that “firms probably seek incompatibility too often. We therefore favor thoughtfully pro-compatibility public policy,” they also recognize that competition to be the dominant platform “can adequately replace ordinary compatible competition, and can even be fiercer than compatible competition by weakening differentiation.”

Moreover, the theoretical papers they considered mostly ask whether increasing or decreasing switching costs increases consumer welfare. Mandates implemented through public policy tend to be more blunt and, after accounting for factors like increased security risks, are less likely to pass a cost-benefit test. Consumers often come across situations where interoperability might provide some benefits, but where the costs outweigh the gains. Policymakers should take the same approach.

For more on this issue, see “Antitrust Unchained: The EU’s Case Against Self-Preferencing” by Giuseppe Colangelo; “Privacy and Security Implications of Regulation of Digital Services in the EU and in the US” by Mikolaj Barczentewicz; and “Mandatory Interoperability Is Not a ‘Super Tool’ for Platform Competition” by Samuel Bowman.

TL;DR

The Myth of ‘Self-Executing’ Regulation

Proponents of the DMA initially sold it as a “self-executing” tool that would save enforcers time and resources. Early experience tells a different story. It often remains unclear whether gatekeepers have done enough to comply with the DMA’s sweeping prohibitions and obligations.

That uncertainty reflects a deeper problem: no one has defined clear benchmarks for judging the DMA’s success or failure. The law’s vague aims of “fairness” and “contestability” offer little guidance to firms or enforcers. Without a clear lodestar, rational policymaking is impossible—let alone a regime that claims to enforce itself.

The Metrics of the DMA’s Success

Abstract

The Digital Markets Act (DMA) is a rare bird in competition policy. Indeed, it is a hybrid framework incorporating the institutional setting of a regulatory tool as well as the conduct already targeted by antitrust authorities in proceedings against digital platforms. From a policy perspective, the DMA seeks to prevent some anticompetitive practices. To this end, the EU legislator has construed an intricate set of provisions pursuing different policy goals. After setting out these goals in relation to the proclaimed legal interests protected by the DMA (i.e., contestability and fairness), the paper gauges them against the benchmark of the European Commission’s capabilities in its enforcement. Relying on the first round of compliance reports issued by gatekeepers in March 2024, the analysis aims to provide adequate pathways to measure the DMA’s success. Accordingly, the paper maps out market scenarios where policymakers can assert that the DMA’s enforcement has been effective.

I. Introduction

The adoption of the Digital Markets Act (DMA or Regulation) follows a clear premise.[1] EU competition law is deemed ineffective to police anticompetitive conduct in digital markets.[2] The alleged failure derived from slow-paced antitrust sanctioning proceedings as well as the complex construction of theories of harm revolving around novel types of digital conduct.[3] According to such a narrative, competition authorities took too long to set forth their cases and, even when they managed to do so, intense litigation further slowed the enforcement of antitrust provisions. Furthermore, even when litigation resulted in a victory for enforcers, remedies came short of working as the antiseptic means to restore the competitive process to its original undistorted state.[4] In summary, by this view, EU competition law failed to deliver effective enforcement with respect to the fast-paced, complex, and intricate nature of digital players and ecosystems.[5]

Against this backdrop, the DMA is expected to address such an enforcement failure. Therefore, effective enforcement shall be the norm as a result of its application. To this aim, the path chosen by the EU legislator to turn this desire into reality is not entirely consistent with the acquis construed around competition law.[6] Indeed, the DMA reverses the burden of intervention against the targets of its regulation (i.e., the gatekeepers) to demonstrate they comply with the substantive provisions enshrined under Articles 5, 6, and 7 in the fashion of per se obligations. Pursuant to Article 11 DMA, in March 2024, the first designated gatekeepers submitted their compliance reports, setting forth the technical implementations and changes to their business models they believed to satisfy the threshold of the DMA’s effective enforcement.[7]

Stemming from the gatekeepers’ reaction to the Regulation, the European Commission (EC), as the sole enforcer of the DMA, faces a challenging task. Indeed, although the regulatory intervention was advertised as self-executing to sidestep the protracted litigation associated with competition law enforcement, the opening of non-compliance investigations by the EC suggests legal disputes are poised to become commonplace.[8] From this perspective, these initial results question the call to discard the purportedly ineffective principles-based antitrust approach and advocate for a rules-based model in order to facilitate enforcement, thus ensuring the quick and effective implementation of the new rules. [9] If the adoption of bright-line rules does not seem to be able to lower the number of legal disputes, it may also expose the Regulation to significant risks of circumvention strategies, which would further undermine its effective implementation requiring additional time-delaying procedures.[10] Moreover, as these investigations are apparently extensions of previous (and sometimes ongoing) competition cases, the DMA is being used to reexamine and relitigate antitrust investigations. After all, while its role is not to endorse the compliance solutions presented by gatekeepers, at the same time the EC is not vested with the powers to assert what compliance should look like.

Against this background, one can easily determine that the DMA is a hybrid instrument in more than one aspect.

From its institutional design and setting, the regulatory framework adapts the tradition of regulation over essential facilities to the functioning of digital competition.[11] By this token, the enforcement strategies the EC may apply to the different solutions presented by the gatekeepers are diverse in nature.[12] The EC’s recent enforcement actions are good proof of that. First, the EC continues to pursue punitive proceedings against gatekeepers under the DMA, without the burden of the procedural safeguards of traditional antitrust proceedings.[13] Second, the EC holds investigatory powers to verify the accuracy and truthfulness of gatekeepers’ statements in their compliance reports, without the need to trigger non-compliance procedures.[14] Third, the DMA provides sufficient scope for the EC to suspend the enforceability of some of its provisions.[15] Finally, Article 8 DMA enshrines the gatekeeper’s and the EC’s capacity to engage in a non-adversarial dialogue where they can iterate their opinions on how compliance should look like.

From the substantive perspective, the DMA’s obligations do not correspond with a single idea of enforcement. The EC has constantly repeated that the DMA is not output-oriented.[16] Instead, the Regulation is set to pave the way for business users to grasp the business opportunities the regulatory instrument seeks to restore. As a result, it is quite complex to determine where effective enforcement lies since impacts on consumers are not directly secured nor ensured via the DMA’s application. Further, one cannot simply assert that effective enforcement is achieved, and no further regulatory intervention is needed, when a certain number of competitors populate the gatekeeper’s core platform services. This metric is inadequate for assessing the restoration of competitive conditions because, although many companies may be present in the market, the structural challenges may still persist. Therefore, one must turn to the few yardsticks the letter of the law provides for to define this threshold of effective enforcement.

In this scenario, this paper aims to investigate the true measure of the Regulation’s success. Therefore, it will examine whether the DMA includes specific metrics to evaluate its success and assess the challenges and risks the European Commission may face in meeting these criteria. Further, the paper cautions against the assumption that, if the DMA meets its own benchmarks, it will automatically be successful for consumers. The DMA’s success metrics do not necessarily align with those that measure consumer success. Even though the Regulation is intended to benefit end users, it is possible that, even if the DMA achieves its own objectives, its implementation may not deliver positive outcomes for consumers.

Both the EC and the gatekeepers have shied away from providing any indication of how success for the DMA should be defined. In fact, the EC directly transferred the whole responsibility of this task onto the gatekeepers by compelling them to detail within their compliance reports how each one of their technical implementations complied with the broader objectives of contestability and fairness and with each provision’s goal.[17] To this call, gatekeepers evaded any type of definite response. The reaction is just a logical consequence of the configuration of the EC’s stick-and-carrot enforcement of the DMA. If the gatekeepers are to set out the indicators for the DMA’s compliance, then the EC could easily hold them accountable for deviating from that conduct in the coming years.

The paper disentangles this conundrum by unveiling the underlying principles of the regulatory instrument. In the absence of clear guidance, it is challenging to determine the appropriate steps to take. Therefore, the paper clarifies the DMA’s main secret, i.e., its policy direction. Notably, the paper uncovers the following five main policy goals enshrined by the DMA: i) market modelling; ii) consumer choice; iii) eliminating restrictions that favor the platform’s openness; iv) neutralizing competitive advantages; and v) enhancing transparency.

To this end, the paper integrates various aspects of the Regulation’s nature and substantive provisions. First, it sets out the policy outcomes that the DMA seeks to achieve by considering the main benchmarks the Regulation puts forth in terms of its objectives, the indicators for compliance per provision, and the long-term goals of each one of these provisions. Therefore, the paper engages with the objectives of contestability and fairness, the results expected via the application of each of the provisions under Articles 5, 6, and 7, and the overall policy goal pursued by the EU legislator. Their conjunct application results in the categorization of the provisions into three main groups. On the one side, those provisions aimed at addressing conflicts of interest originated from gatekeeper presence in the market, which correspond with the concept of fairness and intra-platform competition under the DMA.[18] On the other side, those mandates are designed to trigger potential competition in the form of new entrants or the restoring of the conditions for effective competition of gatekeepers’ existing competitors, which conform to the idea of contestability and inter-platform competition enshrined under the DMA.[19] Both legal interests, however, are not necessarily contradictory. They can complement each other, as they address different aspects of the competitive dynamics within digital ecosystems. In fact, the paper identifies a third category of provisions seeking to maximize both legal interests simultaneously through hybrid mandates.

Second, the paper provides a comprehensive overview of the EC’s capacity to monitor gatekeeper behavior, considering its multi-dimensional toolbox of remedies and powers. In relation to the DMA’s legal interests and long-term policy goals, the paper reveals the EC’s enforcement capabilities, translating them into potential challenges that the public authority must overcome to ensure effective enforcement.

Finally, the paper captures the unintended consequences that DMA’s provisions may entail in practice. This last step of the analysis details the side effects that business and end users may have already suffered because of the gatekeepers’ compliance solutions starting in March 2024, as well as through the impacts that compliance with one DMA’s provision may entail with respect to another one. In this context, the paper examines the inherent contradiction in the foundational roots of the DMA. While the latter aims to deliver results for consumers by ensuring contestability and fairness, it is not output-oriented. Therefore, the DMA’s immediate effects might contradict its primary goal of securing better outcomes for consumers. In other words, even if the DMA satisfies its own metrics for promoting fairness and contestability, this does not necessarily mean that its enforcement will provide benefits to consumers.

The paper is structured as follows. Section 2 explores the meaning of the legal interests protected by the DMA and provides a classification of the provisions accordingly. Section 3 outlines the DMA’s long-term policy goals by examining its provisions in relation to the EC’s enforcement capabilities. Section 4 analyzes Alphabet’s compliance with Article 5(4) DMA as a case study to demonstrate the correlation and challenges in the DMA’s effective enforcement. Section 5 concludes.

II. Metrics for defining the Commission’s effective enforcement

Article 1(1) DMA sets out the main objectives of the Regulation, i.e., to ensure contestable and fair digital markets. These goals come within the wider purpose according to which the DMA aims at levelling the playing field of digital markets.[20] In light of the economic characteristics commonly associated with most of digital platforms (e.g., extreme scale economies, very strong network effects or a significant degree of dependence on both business users and end users)[21], the DMA reverses the antitrust error-cost framework by establishing per se obligations upon the designated targets.[22] Once a gatekeeper is designated under the Regulation, it must comply with the mandates set forth in Articles 5, 6, and 7 in a period of six months.[23]

The shift to the regulatory approach is substantial from the compliance viewpoint. Instead of the burden of initial intervention and proof lying with the antitrust enforcer, the target must demonstrate how it integrates compliance solutions into its business model in line with the DMA’s objectives of contestability and fairness.[24] In this context, one would expect the DMA’s obligations and aims to be eminently easy to apply and pursue in practice. In fact, EC officials have constantly remarked on the fact that the DMA sets out clear rules, hence gatekeepers know exactly what compliance should look like.[25]

However, such a legal certainty is not a given. Indeed, as opposed to the obligations under Article 5, termed self-executing obligations[26], Articles 6 and 7 establish a set of obligations open to further specification, through the venue of regulatory dialogue illustrated in Article 8. Therefore, there is an implicit recognition that at least Articles 6 and 7 DMA are not so clearcut regarding the technical transformations they require.[27]

From the substantive perspective, the provisions apply irrespective of the underlying premises of the gatekeeper’s business model. That is to say, the DMA does not directly address the formula by which gatekeepers claim to create and capture value in digital markets. Hence, the same bar of compliance applies to all core platform services (CPSs) catered by gatekeepers, regardless of the extent to which they feed on strong network effects, data advantages, or the mechanics of market tipping and whether those economic characteristics evolve over time.[28]

Based on this premise, the DMA supports, thus, the application of a vast array of obligations following a clear pattern of ensuring contestable and fair markets for all businesses. The concepts of fairness and contestability act as touchstones to the enforcement in more than one way.[29] First, being the main objectives of the Regulation, they influence all the EC’s actions in interpreting the DMA’s provisions. Accordingly, each one of the solutions presented by the gatekeepers must correspond to these objectives. Second, contestability and fairness permeate the regulatory mandates contained under Articles 5, 6, and 7 DMA. Therefore, they also play a role in fleshing out the policy outcomes that each of the twenty-three mandates outlined in the aforementioned articles seek to achieve.

A. Contestability as potential competition

As set out under Article 1(1) and Recital 32 DMA, contestability is a means to an end. It is a means to eliminate barriers to entry and expansion undermining the ability of undertakings to contest, based on competition on the merits, the gatekeeper’s position in the markets as well as to impact the innovation potential of the wider platform economy. This objective is clearly linked to the economic features of CPSs that imbalance competition and innovation.[30]

Recital 32 states that the lack of contestability is not a matter of the number of competitors which populate the market. Instead, in order to promote inter-platform competition, the locus of attention is focused on the presence of barriers to entry or expansion hindering the exercise of competition at the platform level.[31] By this token, the DMA builds on the traditional economic definitions set out by Bain in the 1950s, following the structuralist approach.[32] Accordingly, entry to a market is assumed unprofitable until information asymmetries and market imperfections can be compensated.

Stemming from these findings, inter-platform competition can be easily translated into the elimination of barriers to entry and expansion. However, such a task is not easy to perform in practice. Indeed, similarly to its institutional design, the Regulation does not define what economic characteristics of the digital platforms are to be understood as those barriers to entry and expansion undermining inter-platform competition. In fact, the DMA sets out in the abstract the economic features that have led digital markets to tip the scales in favor of gatekeepers. But it does not indicate whether all of them are barriers to entry and expansion or even whether they may be reversed via the imposition of antitrust-like remedies. Such a determination is not trivial insofar as economists have been discussing for decades now whether a particular economic characteristic is a barrier to entry and expansion.[33]

In a similar vein, the DMA presumes that all these economic features apply equally to all CPSs and gatekeepers across the board. Nonetheless, economic reality trumps this one-size-fits-all approach. Some CPSs are not as contestable as others. For instance, switching costs are not as intense on web browsers as they are on online social networking services. In a similar vein, within the same category of CPSs, it may well be the case that contesting a gatekeeper’s position may be easier than disputing another incumbent’s situation in the market. One such example is that of a number-independent interpersonal communications services (NIICS). The EC has only designated two NIICS belonging to the same gatekeeper (i.e., Meta’s WhatsApp and Messenger). However, the same economic characteristics (and, thus, the barriers to entry and expansion hindering the competitors’ capacity to contest the market position) do not apply to them with the same intensity and degree.[34] Even though both build on strong network effects, Meta’s WhatsApp service is much more prominent in its position as the by-default messaging service end users access in the EU. Albeit the same network effects apply to some extent to Messenger, they only influence market outcomes in proportion to their link with the CPSs integrated into Facebook.

Finally, contestability under the DMA is primarily adversarial. In other words, it can only be enhanced when one or several business users compete with the gatekeeper’s position, regardless of the value proposition each offers to end users. Therefore, it may be the case that the DMA may only facilitate the replacement of gatekeepers without addressing diversification, meaning increased contestability could simply replicate the gatekeeper’s operations across the board.[35]

Against this backdrop, the paper translates the wider contestability objective into an identifiable metric to perform its analysis. To this end, the paper identifies those provisions and scenarios that would promote potential competition, understood as the springboard for existing and new sources of competition to become successful.[36] Indeed, by eliminating barriers to entry and expansion, the DMA strives to trigger the emergence of competitors in two fundamental manners. First, by enhancing the competitive situation of existing rivals, which have populated the market alongside gatekeepers. Second, by creating favourable market conditions to foster market entries at the inter-platform level with the capacity to successfully compete against gatekeepers. Under Section 3, the paper sets out those DMA’s provisions that (individually or in conjunction with the goal of fairness) pursue one of these manifestations of potential competition.[37]

B. Fairness as conflicts of interest: value appropriation and conditions of access and competition

The DMA’s depiction of fairness addresses intra-platform competition with reference to imbalances between the rights and obligations of business users where the gatekeepers obtain a disproportionate advantage.[38] Accordingly, the unfairness of terms and conditions for the use of their CPSs has led gatekeepers to hinder business users from fully capturing the benefits of their own contribution to the markets. Thus, the fairness objective under the DMA is redistributive in nature.[39] It is claimed gatekeepers have unfairly appropriated monopoly rents from the value that business users create on their platforms. The regulatory tool aims to correct this by redistributing these rents to business users.[40]

Notwithstanding, the Regulation does not point out what type of redistribution applies, namely whether surplus must be allocated depending on each business user’s value brought to the market or whether the appropriation of value should take place unrelated to their economic profits. By this token, the value of fairness under the DMA cannot be categorized into a single manifestation that will narrow the gap between an unfair and a fair outcome.[41] More than a tractable metric for identifying effective enforcement, fairness is a value bearing an amorphous nature, depending on the individual consideration of the configuration of the market and the CPS’s economic characteristics.

Following upon the DMA’s silence, the paper translates the fairness value into a single scenario that applies across the board to identify unfair conduct in the eyes of the regulation, i.e., the presence of conflicts of interest. The DMA’s scope of application predetermines this finding. Indeed, for an undertaking to qualify as a gatekeeper, it must provide a CPS which is an important gateway for business users to reach end users, aside from bearing a significant impact on the internal market and enjoying an entrenched and durable position in doing so.[42] Therefore, the presence of a potential conflict of interest is implied in the designation of the gatekeeper.

A clear comparison can be made with reference to those cases where the Court of Justice (CJEU) has recognized that the dominant undertaking’s conflict of interest predetermines market outcomes.[43] Following this same line of reasoning, the DMA embeds fairness in its foundational rationale, subtly implementing this principle through its per se mandates. In this regard, the DMA seeks to eliminate conflicts of interest concerning both the access conditions and competitive landscape of CPSs. On the one hand, the DMA removes all discriminatory conditions of access so that potential competition may crystallize. This is the reason behind the fact the Regulation highlights that contestability and fairness are intertwined, thus stating that a single provision may address both goals.[44] On the other hand, the DMA revamps previously unfair distribution channels within ecosystems by compelling gatekeepers to adjust to digital business models that lack market dominance.[45]

In other words, the DMA weaponizes the goal of fairness to redistribute both value and control throughout gatekeeper ecosystems.

The redistribution of control across ecosystems entails co-responsibility on the part of business users. As opposed to the confrontational nature of contestability, fairness as outlined in the DMA is rooted in the Socratic paradigm, wherein each economic operator should be rewarded according to their efforts. Consequently, fairness is implied to apply to both the activities of gatekeepers (who may be rewarded for their role in shaping digital ecosystems) and business users.

C. The classification of the provisions according to their metrics

Stemming from the intertwinement of both metrics, each of the DMA’s provisions can be categorized into one of three categories illustrated in Table 1.

Table 1. DMA’s provisions depending on their metrics

Several provisions aim at narrowing down the conflicts of interest embroidered into the conditions of access and/or competition to the gatekeeper’s business models in isolation. This is only logical, given that the Regulation is mainly based on the presence of a gatekeeping power and on the related risks created by the leveraging of their advantages from one area of their activity to another. Therefore, such provisions pursue the disintermediation of the designated gatekeepers from their prominent positions within the markets they operate in. For instance, the DMA discontinues the gatekeeper’s capacity to leverage data generated by its business users when it competes with them, under Article 6(2) ordering a data siloing obligation.

A few obligations seek to restore potential competition as a standalone metric to their success. These provisions report a quasi-automatic increase in the number of competitors entering the market as a result of their implementation. As means of example, Article 6(4) DMA cements potential entries at the downstream and upstream level regarding app distribution by compelling gatekeepers to allow and technically enable third-party app stores and apps to interoperate with their operating systems.

Finally, most provisions have a hybrid nature as a single metric cannot be clearly defined for them because of their expected impact on both existing and potential competition whilst eliminating conflicts of interest.

After all, the Regulation has not been designed as a closed system of protection reporting clear legal interests per each provision. Although one could identify certain provisions to confer the power to business users to narrow the gatekeeper’s conflicts of interest to a minimum, the absence of these conflicts of interest will also entail, in the medium-to-long-term, a higher propensity and incentive for entrants to compete on the merits with the gatekeeper, thus fostering inter-platform (rather than just intra-platform) competition.

III. The matrix in practice

The DMA compels the EC to effectively enforce its provisions. From the first round of compliance reports issued by the six gatekeepers designated in September 2023, the task looks moving-target-like and complex.

As a first step, it is worth noting that there are three types of DMA’s mandates depending on the scope of their application. The twenty-three provisions do not necessarily apply to all CPS categories. Notably, as illustrated in Table 2, most provisions only apply to specific CPSs, while several provisions are even wider in scope than the CPS categories. Therefore, the DMA’s locus of attention is not necessarily ascribed to the designation exercise performed by the EC.

Table 2. Scope of DMA’s provisions

Further, irrespective of their scope, the provisions do not apply in a vacuum. That is to say, the solutions put forward by gatekeepers in their compliance reports do not exclusively impact the services falling under designation. Indeed, in most cases, the provisions target secondary or complementary services belonging to business users. Therefore, the gatekeepers’ adjustments to their business models have a clear external vocation, rather than representing a mere internal restructuring.

When descended into reality, under each provision one can derive the desirable policy goal the EU legislator wishes to achieve. The legal interests of the DMA are, thus, translated into a myriad of policy outcomes with two different origins.

On the one hand, the DMA seeks to restore the competitive conditions that the antitrust framework allegedly failed to achieve in digital markets. By doing that, the DMA aims at achieving solutions competition law is deemed unable to ensure. This is particularly salient if one looks at the self-preferencing prohibition under Article 6(5) DMA. Inspired by the EC’s investigation in Google Shopping, the DMA imposes an outright ban deriving from a novel theory of harm the CJEU has not backed yet.[46] A similar example can be drawn out from Article 5(2) DMA, which has been inspired by the German Facebook case.[47] Even though the national competition authority enforced the siloing obligation as the primary solution to Facebook’s data processing, the practical effects of the remedy were limited.[48]

On the other hand, the DMA pursues independent and complementary policy goals of its own. To the extent the regulatory instrument remains distinct from competition law, considerations of public policy can be integrated without the need to address how they intersect and overlap with the need to increase consumer welfare. Consequently, the DMA eliminates the concept of consumer harm, while also incorporating consumer protection-focused policy decisions into the regulatory framework. For instance, the gatekeepers reporting duties under the DMA encompass the submission of compliance reports as outlined in Article 11. Additionally, these obligations extend to the gatekeepers’ requirements to submit audited reports detailing the consumer profiling techniques they employ within their CPSs under Article 15. The primary aim of this second obligation is to promote transparency and understanding regarding how consumers perceive gatekeepers’ profiling activities. The rationale is that end users might be encouraged to stop using the gatekeeper’s CPSs once they become aware of the significant consequences of their personal data being processed.

In the next Sections, the paper will untangle the outcomes of both policy strands pursued by the DMA breaking down each provision to understand the EC’s enforcement capabilities against gatekeepers’ compliance reports and their potential unintended consequences when observed from the practical viewpoint. As the principles of proportionality and necessity lie at the core of the DMA’s effective enforcement, compliance should take place in the least burdensome way for gatekeepers in those cases where more than one alternative and equally effective solutions may be introduced. Further, the application of the principle of proportionality requires such measures to be benchmarked against the yardstick of the DMA’s legal interests, i.e., contestability and fairness.

A two-step process must, therefore, necessarily apply to the DMA, since all its provisions do not necessarily target the same policy goal, nor do they protect the same legal interests. When confronted with the question of whether the gatekeepers’ compliance solutions demonstrate effective enforcement, the first step requires the enforcer to establish what legal interest is pursued (i.e., the triggering of potential competition or the narrowing down of the gatekeeper’s conflicts of interest). Section 2.C already conducted this exercise, as shown in Table 1.

The second phase of the analysis translates these legal interests into long-term expectations. In other words, the declared contestability and fairness take various forms when actualized. Therefore, the paper distinguishes between legal interests and policy goals. The former are evident when reading the DMA’s letter of the law, whereas the latter are obscured by the myriad policy choices embedded in the Regulation. Section 3.A aims to uncover the policy goals behind each provision and Section 3.B outlines the enforcement capabilities the EC will need to address in relation to these goals.

A. The DMA’s policy goals

The DMA’s legal interests outlined under Section 2 co-exist with additional policy goals pursued by each of its provisions. Therefore, from the perspective of regulatory theory, the DMA brings together aspects of both a goals-based and a rules-based regulation.[49] While it shifts the responsibility of intervention onto the subjects of the Regulation, compelling them to evaluate the most effective way to adhere to its goals of contestability and fairness, at the same time, the obligations under Articles 5, 6, and 7 DMA provide for specific prescriptions and proscriptions of conduct. Thus, rather than investigating whether the gatekeeper’s compliance is consistent with the goals set out by the Regulation, the EC analyses whether they comply with the substantive provisions.

As depicted in Table 3, on one side of the spectrum the DMA functions as a market modelling tool. Indeed, some provisions are designed with an additional motive in mind, i.e., to carve out a particular view of the architecture and design of digital ecosystems. As the outcome is apparently predetermined, the regulatory intervention prevents gatekeepers from selecting one option from a variety of potential solutions that could meet the compliance standard. For example, Article 5(2) prohibits data combinations across core platform services. Thus, business models based on behavioral advertising are seen as presumptively undesirable.[50] EC representatives have even highlighted that the DMA requires gatekeepers to offer users a less personalized alternative to its services, which may consist of contextual advertising.[51]

Moving along the spectrum to more alleviated forms of intervention, a wide range of provisions build upon the DMA’s preference towards the openness of digital ecosystems.[52] Accordingly, on the one hand, some of the mandates of the provisions aspire to open markets to trigger more consumer choice. For instance, Article 6(4) allows alternative operators to distribute their app stores and apps on the gatekeeper’s ecosystems without relying on proprietary technologies. On the other hand, the paradigm of openness entails business users should not be hindered from competing in gatekeeping environments. Due to this reason, several provisions unfasten the restrictions gatekeepers may impose upon the entry of certain functionality on their CPSs. As means of an example, Article 5(4) prohibits the gatekeeper’s anti-steering restrictions.

Moreover, some of the provisions pursue the detachment of those competitive advantages which, in principle, the gatekeeper enjoys due to its condition as a prominent player in digital markets. Such advantages are not identified as choke points to be eliminated by the least restrictive measures imposed by the Regulation. On the contrary, these provisions aim at neutralizing the gatekeeper’s CPSs in an all-encompassing fashion. The clearest example is enshrined in Article 6(2) DMA, which neutralizes the gatekeeper’s capacity to leverage business user data generated on its CPSs to compete with them. All the gatekeeper’s CPSs are comprised under the obligation as a matter of scope and every type of competition between the gatekeeper and the business user remains captured. In parallel, Article 6(5) introduces the self-preferencing prohibition hindering the gatekeeper’s capacity to treat more favorably, in ranking, related indexing and crawling, its own services and products vis-à-vis those of its business users. Under the assumption the provision is not sufficiently wide, Article 6(5) adds on that the gatekeeper shall apply fair, transparent, and non-discriminatory conditions to such ranking.

Finally, the least intense form of regulatory intervention is that of enhancing transparency, especially in online advertising services. As acknowledged in Recital 45, the choice is based on the failure of EU data protection regulation.[53] The conditions under which gatekeepers provide online advertising services to business users are considered opaque and non-transparent because of the gatekeeper’s practices and the complexity of modern-day programmatic advertising. Thus, the legislator imprints the need to restore transparency in favor of business users in online advertising services via Articles 5(9) and 5(10) to resolve a failure which is not necessarily indicative of the presence of gatekeeping power. Alternatively, the transparency policy goal permeates consumer-protection objectives into the competition policy-based regulation by different means by, for instance, approximating the DMA’s content to the spirit of the P2B Regulation.[54] Article 5(6) is a good proxy for illustrating this point. Indeed, Article 5(6) does not shape gatekeeper decision-making into any given direction. It recognizes a right to business and end users so they can exercise it before public authorities without any type of impediment deriving from the target’s gatekeeping power.

Table 3. DMA’s provisions according to their metrics and policy goals

From a quantitative perspective, such an analysis demonstrates that the DMA’s policy goals are not embodied in the least intrusive means of the neutralization of competitive advantages nor of the enhancement of transparency. On the contrary, most of the DMA’s provisions target a particular view of how digital markets should look like from a policy perspective. Therefore, the Regulation cannot be said to be agnostic regarding the business model transformation it imposes upon the gatekeepers. It points towards the clear preference for choosing market outcomes via the market modelling provisions under Articles 5(2), 5(3), 6(11), and 7 DMA. In parallel, it mandates ecosystem openness, irrespective of the gatekeeper’s configuration of its business model and decision-making processes, prior to the full application of the obligations.

Alternatively, from a qualitative viewpoint, Table 3 confirms a finding already pointed out in Table 1. Most obligations are not directly fine-tuned to strengthen potential competition in the market. In fact, there is a clear preponderance of hybrid mandates alongside those provisions aimed at narrowing down the gatekeeper’s conflicts of interest in different forms.

 B. Enforcement capabilities

Stemming from the theoretical background of the DMA’s legal interests and policy goals, the EC’s effective enforcement can only be measured if confronted with practical reality. The initial six designated gatekeepers already applied the Regulation’s obligations across their business models and submitted their compliance reports in March 2024. EC officials have already termed some of the solutions presented by the gatekeepers as blatant infringements of the spirit and letter of the Regulation.[55]

Two main cornerstones to the DMA’s enforcement loom over the EC’s capabilities in transforming the Regulation’s mandates into reality, namely, information asymmetries and the provisions’ interplay with other pieces of the EU law and ongoing antitrust proceedings.

With regard to the former, the DMA addresses the problems of the lack of information at the EC’s disposal to engage with the dynamics of digital platforms by shifting the responsibility onto gatekeepers. Therefore, they are required to submit compliance reports (Article 11) and the auditing of their consumer profiling techniques (Article 15).[56] However, reviewing the various compliance reports submitted, such a solution does not necessarily appear decisive.

For instance, the prohibition under Article 5(2) is supposed to be self-executing and, therefore, applied by default. From the technical perspective, this shift entails the CPSs’ data infrastructures transformation into siloed datasets which cannot interact with each other, absent the end user’s consent. In practice, Alphabet applied this approach by restricting data flows of personal data across its eight core platform services vis-à-vis the siloing of its non-CPS designated services.[57] The same enforcement strategy has not been followed by other gatekeepers, such as ByteDance, which refused to put forward substantial technical solutions. Indeed, according to ByteDance, TikTok’s advertising services are an integral part of the TikTok entertainment platform, no combinations of personal data apply from different services when it creates user profiles for personalized advertising. Therefore, it asserted that the current configuration of its data infrastructure already complies with the obligation under Article 5(2).[58]

If the EC may gain some knowledge of the gatekeeper’s data processing activities via the obligation under Article 15 DMA, without the target’s active engagement in unveiling its own data infrastructure, a profound interpretation of the compliance report cannot be performed.[59] Therefore, at first glance, when monitoring the provision’s enforcement, the EC can only trust the gatekeeper’s assessment. It is not completely unsurprising that those provisions directed at modelling the market in a particular direction are the most impacted by this motion. Bearing in mind they devise an idea of the expected market outcome, those results may conflict and oppose the policy goals set out by other pieces of EU regulation, providing sufficient grounds for an impending tension in the EC’s enforcement capabilities, especially in light of its obligations deriving from the principle of sincere cooperation under Article 4(3) TEU.

Furthermore, as the DMA is a piece of legislation within the wider corpus of EU law, the EC’s enforcement capabilities cannot be measured in a vacuum. Despite the Regulation’s assertion that its application takes place without prejudice to any other piece of EU regulations and to the application of competition law, the distinction of where the EC’s enforcement starts and ends is not straightforward.[60] The EC may have to look outwards to enforce the DMA’s mandates. For instance, when sharing search data generated on online search engines under Article 6(11), the gatekeeper’s anonymization task cannot be interpreted without reference to the understanding of anonymization under EU data protection regulation. Due to this reason, the DMA provides for several fora of discussion with data protection supervisory authorities to substantively engage on these points of law.[61] In parallel, notwithstanding the DMA applies without prejudice to the application of competition rules, some of the gatekeepers’ compliance solutions mimic the remedies already offered within antitrust proceedings, in advance of the DMA’s adoption. This is the case of both Meta and Amazon with regard to the technical implementations of the obligations under Articles 6(2) and 6(5). Their solutions did not go any further in scope or substance than what they had already convened with the European Commission in their Facebook Marketplace and Amazon Buy Box and Marketplace proceedings.[62]

Aside from both characteristics, the provisions following distinct policy goals bear different challenges regarding the EC’s enforcement capabilities to the exclusion of any other category of provisions.

Circling back to those provisions pursuing the neutralization of competitive advantages, for instance, the EC is at a clear crossroads. Information asymmetries persist with the gatekeepers, creating issues not only with their overall incentive for disclosing data but also with specific challenges arising from the implementation of the DMA’s provisions. If gatekeepers were to disclose their compliance strategies to reduce information imbalances when submitting their reports, assessing compliance with such provisions would still be entirely unclear. Because the obligations are mainly negative in nature and require an abstract demonstration of neutrality, gatekeepers can effectively obscure the decision-making process, making it more difficult for the EC to monitor enforcement.

As a matter of example, Amazon’s compliance with the data siloing obligation under Article 6(2) DMA demonstrates this point. In the illustration of its compliance solution, the gatekeeper did not substantially engage with the process of decision-making underlying its operations. Instead, it referenced, in the abstract, its efforts to silo data through the different technical systems it has in place. By this token, Amazon remarked the presence of various automated systems, algorithms, models, and tools that feed into the decisions where it may be perceived to act in competition with third-party sellers via selection, inventory, and pricing decisions. In summary, Amazon declared that, upon a review of the data inputs drawn from each of its automated systems, it could confirm that none of them ingest or use non-public third-party seller data. No further reference or explanation was provided by the gatekeeper. Despite the reversal of the burden of intervention, the gatekeeper does not present any evidence to the effect of demonstrating compliance with the negative obligation. The EC is, thus, expected to trust the gatekeeper’s word and explanations at face value.

Moving to those provisions targeting the openness of platforms and digital ecosystems, the compliance reports show the gatekeepers’ clear predilection to avoid relaying power out of their hands. Indeed, they shift the gatekeeper’s ability to make rules away from being the sole decision-maker towards the next most viable option for exerting their gatekeeping power, namely enabling business users to conduct their activities within their platforms. In other words, gatekeepers can no longer completely block access to their platforms as they could before the DMA came into effect. However, they have found ways to delay business users’ requests for access by implementing entitlement procedures.

Apple’s enforcement strategy is quite salient in this respect, as it was arguably the digital ecosystem with the smallest degree of openness prior to the DMA’s application. Pursuant to Article 6(4) DMA, the gatekeeper is required to allow alternative operators of app stores and apps to distribute these services via different means to its proprietary App Store. However, Apple has not relinquished  all its decision-making capacity when it comes to app distribution on iOS.[63] Alternative app store operators must go through an entitlement process, managed and designed by the gatekeeper, to receive authorization to operate on iOS. Apple has not included the entitlement requirements into its first compliance report, but it updated and uploaded information on its developer’s webpage the conditions these alternative operators will have to comply to exert the opportunities for openness provided by the DMA.[64] Such rules include the need to follow the notarization process, enabling Apple to filter through requests for access focusing on reasons of security, privacy, and the maintenance of device integrity. Without a positive answer from Apple on notarization, the business user will not be able to benefit from Article 6(4).[65] On top of this process, Apple establishes additional requirements to authorise the business user’s operations as an alternative app store, such as submitting a new binary for the app store’s sole distribution on iOS in the EU or providing Apple with a standby letter of credit from an A-rated financial institution in the amount of EUR 1.000.000.

Similar challenges involve the evaluation of the effective application of provisions pursuing market modelling and openness. While the DMA aims at introducing opportunities business users must grasp to thrive in the CPSs’ markets, some compliance reports show that the venues for the enhancement of inter and intra-platform competition are a matter of the business users’ discretion. Notably, some gatekeepers present their business users with a binary option. They may either stick with the choices and conditions they had before the DMA came into effect or choose to adopt the compliance solutions proposed under the entitlement conditions set by the gatekeeper. This is precisely the model Apple presented to its business users. However, in this context, compliance with the regulation does not apply by default.[66]

Considering the array of challenges the EC will encounter while monitoring DMA’s enforcement, it is clear that a complex network of obstacles lies ahead. These hurdles are not straightforward in theory and vary in practice, depending on the gatekeepers and their enforcement strategies outlined in compliance reports.

C. The impact on consumers

The concept of consumer welfare or consumer harm does not influence the EC’s analysis of the mandates within the Regulation. At least, this is the DMA’s legal stance on its impacts on consumers. For instance, Recital 23 eliminates the possibility for gatekeepers to present efficiencies or justifications on economic grounds to the EC.[67] Similarly, non-compliance procedures initiated by the Commission due to violations of Articles 5, 6, and 7 DMA do not require proof that consumer harm is directly caused by the gatekeeper’s conduct.[68] In turn, however, the interventions of EC officials reiterate that the changes introduced by the DMA must also please customers.[69]

The EC’s stance is based on a policy choice. Specifically, if gatekeepers cannot delay proceedings by presenting extensive economic reports and evidence that the competition authority must disprove, then the Regulation has a better chance of being effectively implemented and remaining responsive to digital dynamics. However, this choice does not necessarily align with the functioning of digital markets. In fact, the DMA’s focus on fostering opportunities for business users, rather than producing direct outcomes for consumers, highlights the disconnect between the Regulation’s goals and its eventual impacts on the different markets corresponding to the CPSs.

In this context, the DMA may result in both intended and unintended consequences for consumers. The Regulation’s opportunities-oriented approach presents the DMA’s chances of success in two different lights. On one hand, the DMA may achieve its intended outcomes by creating more opportunities for business users, which will, in most cases, provide more consumer choice. However, diversification does not necessarily follow from the enhancement of consumer choice. For instance, new entrants or existing business users in those markets may replicate the quality and business models of gatekeepers. Therefore, expanding consumer choice is not simply about increasing supply to enhance consumer satisfaction.

On the other hand, the DMA may also lead to some unintended consequences for consumers, particularly due to changes introduced by gatekeepers in user journeys across their services. In other words, consumers might perceive a decrease in the quality of services provided by gatekeepers if the usual distribution of these services is disrupted to implement DMA-driven solutions.

A paradigmatic example of user experience degradation that may result from the DMA’s implementation is provided by Google Maps. Under the DMA, gatekeepers are required to treat rival downstream services as favorably as their own to ensure platform neutrality. As a result, to avoid the risk of being accused of self-preferencing by offering preferential placement to its specialized Maps unit, Google decided not to allow users to go directly from Google Search to Maps in one click. Consequently, users can no longer click on the location image to access Maps directly. However, is has been reported that removing Google’s one-click advantage led to higher search costs for users without significantly boosting the discovery or adoption of alternative mapping services in the short run.[70] As a consequence, it may be questioned whether a provision that increases search costs for consumers but has a negligible effect on product substitution can be considered a success.

In some cases, relying on the DMA’s anti-circumvention clause, the EC has already raised concerns about the impacts on user experience proposed by gatekeepers in their compliance reports.[71] The provision ensures that gatekeepers cannot degrade the quality of their services due to DMA compliance or worsen the conditions under which consumers provide informed consent throughout their user experience. Therefore, this aspect of the Regulation does not necessarily address the concept of consumer harm and welfare, but rather its effect on consumer protection.

IV. Putting theory into practice: a case study of Alphabet’s proposed compliance with the anti-steering prohibition

Evaluating effective enforcement is a significant challenge. As illustrated in the previous Sections, given the DMA’s broad spectrum relating to its legal interests and policy goals, enforcement is anticipated to be multi-faceted, nuanced, and essentially unpredictable in terms of the outcomes expected from the Regulation’s mandates.

Therefore, the paper proposes a practical method to assess whether a specific compliance solution aligns with the concept of effective enforcement or necessitates further scrutiny under the measures outlined in the DMA. It fundamentally reveals the obscured aspects of the DMA’s enforcement strategy, aiming to balance its recognized legal interests with the often-overlooked long-term policy goals its provisions express and aim to achieve. In doing so, the paper illustrates a dual-layered enforcement approach that must not only uphold the DMA’s broader objectives but also align with the policy direction embedded by the EU legislator. This dichotomy within the DMA’s framework is crucial for anticipating the EC’s enforcement capabilities and determining how to address them effectively.

To examine the necessity of considering the secretive nature of long-term policy goals, the paper employs a case study of the non-compliance procedure initiated by the EC against Alphabet. The procedure addresses potential infringement of Article 5(4) DMA related to the Google Play intermediation service.

According to Alphabet’s compliance report, it now provides additional means for developers to communicate and promote offers to end users as well as by providing them with the capacity to directly conclude contracts via these means. Alphabet has opened this possibility for app developers via its new External Offers program. Developers must agree with the terms and conditions of that program to enjoy the possibility of steering their users to promotional offers. Aside from that, participation in the program by the app developer is subject to Google’s approval. For instance, some of the eligibility criteria fleshed out by Alphabet include the fact that developers must only direct end users to their own digital features or that they are directly responsible for providing support to users in their external transactions. In this respect, the most salient aspect of the compliance solution relates to the fee structure Alphabet imposes upon developers when they redirect their end users to promotional offers. Under the assumption the app developer acquired those end users due to its presence on Alphabet’s Google Play, the gatekeeper charges a 5% initial acquisition fee on the offers catered through the in-app digital features and services during the two years following the initial external transaction on top of an ongoing services fee of up to 7% for those same offers. Only after these two years stemming from the end user’s initial acquisition, the developer may opt out from receiving Play services and paying the ongoing services fee.

The first step of the analysis necessarily stems from its categorization in line with the legal interest it purports. Article 5(4) DMA seeks to promote intra-platform competition by narrowing down gatekeeping power in setting rules driving downstream competitors away from the digital ecosystem. The rationale underlying the anti-steering provision relates to the fact that a gatekeeper will not earn revenues from those services its downstream competitors realize outside its digital ecosystem.

Against this background, Article 5(4) pursues the legal interest of reducing conflicts of interest as a standalone metric. Upstream competition among platforms is not directly concerned and, as such, the provision does not fall within the definition of a hybrid obligation as depicted under Section 2.C. Establishing the provision’s legal interest sets the path for the anticipated results that one can intuitively expect the provision to achieve. In the case at stake, the legislator may intend to boost traffic from downstream services offered through digital ecosystems to their own websites by separating the completion of a transaction from the operator’s presence in a specific digital ecosystem. Therefore, an increase in the number of app developers offering such functionalities and the prevalence of more promotional offers providing those links would serve as initial indicators of effective compliance with the provision.[72]

Once the legal interest has been identified, one must set out the provision’s scope in relation to the CPSs included to compare it with the scope of the compliance solutions proposed by the gatekeeper. According to the terms of Article 5(4), the provision is wider in scope to the CPS categories. It compels the gatekeeper to allow business users to communicate and promote offers to end users acquired via its core platform service or through other channels, and to conclude contracts with those end users. Looking at Alphabet’s proposed solution, the initial acquisition and ongoing services fees imposed on developers as a take-it-or-leave-it choice does not seem to align with the provision’s scope. Indeed, on the one hand, the anti-steering provision spans through all types of communications and channels. Thus, the absence of a compliance solution for the rest of Alphabet’s CPSs and channels is not coherent with the obligation. On the other hand, Article 5(4) does not solely focus on end users benefiting from a CPS, but on all categories of end users who depend on the gatekeeper’s ecosystem. In this context, it becomes possible to analyses the terms introduced by Alphabet regarding its fee structure when end users are directed to promotional offers from in-app services provided by app developers.

Continuing with the analysis, it is critical to determine the provision’s nature in the context of the broader policy goals pursued by the EU legislator. Article 5(4) aims at enhancing the openness of the ecosystem at the downstream level by removing previous restrictions on directing end users towards promotional offers. To this end, Article 5(4) includes a clear and active mandate to eliminate anti-steering restrictions from the terms and conditions imposed by gatekeepers on their counterparts. This enables transactions to take place outside of the gatekeepers’ ecosystems. Both the legal interest and policy goal remain, therefore, closely correlated in terms of their identification, even though one does not necessarily automatically follow from the other.

Given this context, the EC’s enforcement capabilities closely align with both the legal interest and policy goal of the provision. As the provision aims to promote openness in downstream markets, the primary enforcement challenges arise from Alphabet’s entitlement processes. Indeed, Alphabet’s proposed compliance solution does not prescribe openness by default. Instead, the steering of users will only occur with Alphabet’s prior authorization of developers’ entitlement to provide link-outs within its services.

Finally, the potential side effects stemming from the provision’s compliance must be taken in mind. In the case of Article 5(4), there is an undeniable interplay with the separate obligation imposed by Article 6(12), according to which the gatekeeper must apply fair, reasonable, and non-discriminatory conditions of access for business users to its software application stores, online search engines, and online social networking services listed as CPSs. Therefore, within the context of Article 5(4), the EC must assess how fair conditions are set through developers’ entitlements, which should be included in the broader analysis of compliance with Article 6(12) DMA. However, what is deemed fair under Article 5(4), aimed at reducing conflicts of interest, might not be regarded similarly under a distinct provision.

In summary, the case study of Alphabet’s compliance with Article 5(4) DMA yields mixed results but reveals several clear findings. At first glance, it is relatively easy to discern whether the provision serves one legal interest over another. If the provision addresses issues within the downstream market concerning the CPS it operates in, then conflicts of interest are at play. Therefore, Alphabet’s solution should aim to rectify any imbalances in bargaining power imposed on business users in comparison to Alphabet’s own position. However, the new fee structure and the requirement for app developers to pay an ongoing service fee for Google Play for two years contradict this spirit.

Since the provision aims to foster intra-platform competition by mandating active conduct, it becomes apparent that Alphabet’s technical implementation does not meet the requirement of neutralizing competitive advantages. In fact, Alphabet’s compliance report states that developers were already allowed to communicate and promote offers to Google Play’s end users and conclude contracts with them prior to the DMA. According to the gatekeeper, developers always had the ability to communicate and promote offers to Google Play users through channels outside the app store, such as emails and text messages. Therefore, neutralizing competitive advantages would be irrelevant. However, the provision hints at a clear direction towards openness. Consequently, Alphabet’s compliance solution introduces new policies that enable in-app link outs as an additional means for developers to communicate and promote offers to end users.

In this context, understanding the provision’s policy goal is not crucial for assessing compliance with it at face value, but it is pivotal for two fundamental aspects of the analysis. First, it defines the long-term objective the provision aims to achieve. If compliance solutions meet the legal interest (i.e., fairness) but fall short of achieving the desired degree of openness, there will still be room for the enforcer to encourage the gatekeeper to implement a modified version of its compliance solution.

Secondly, elucidating a provision’s policy goal is crucial for highlighting potential challenges the EC may face in its enforcement efforts. Regarding Article 5(4) DMA, which aims to instill openness, the most significant challenge associated with fulfilling this hidden promise is intermediation. In other words, the DMA is unlikely to completely eliminate gatekeeping power when a dominant player still benefits from operating within an ecosystem. This correlation becomes apparent when considering Alphabet’s entitlement process to offer its in-app link outs to business users. Without first establishing the long-term policy goal, it would be difficult to determine whether the entitlement process should be evaluated based on fairness or if enforcement challenges arise from elsewhere.

Indeed, this is precisely what the paper has untangled for each provision, paving the way for the EC’s effective enforcement. It is not entirely clear what legal foundations will influence the EC’s enforcement strategy, apart from the broader concepts of contestability and fairness. The paper has shown that an additional layer, substantiating the DMA’s direction into specific policy goals, is crucial for understanding where the Regulation’s success lies. This also guides gatekeepers and enforcers in narrowing down their choices in terms of ecosystem design, architecture, and enforcement approach. To hold both gatekeepers and the EC to account, the paper illustrates the common ground they can reach by acknowledging the DMA’s policy goals. As a consequence, the EC’s enforcement actions should be constrained to these specific goals.

V. Concluding remarks

The adoption of the DMA has been accompanied by significant doubts and criticism, particularly due to its controversial relationship with competition law. Inspired by antitrust investigations, the new Regulation finds its roots and essential rationale in an alleged antitrust enforcement failure. Therefore, once adopted and applied, the main question is how to determine the DMA’s success. Namely, how to identify the conditions under which the implementation of the new rules has been effective for each obligation by achieving results that competition law would not be able to ensure.

This paper addresses this question by providing metrics to measure the DMA’s success. Notably, it shows that such a process requires unveiling the DMA’s hidden policy goals. Indeed, although contestability and fairness are the proclaimed protected legal interests, they do not represent the outcomes the EU legislator aimed to embed in the Regulation. Despite the EC’s desire to keep these aims somewhat hidden, four main policy goals influence the DMA’s provisions: market modelling, openness, neutralizing competitive advantages, and enhancing transparency. In this context, the EC’s enforcement capabilities are directly correlated with the long-term policy goals pursued by each provision.

Translating fairness and contestability into clear policy goals and thus unveiling the secret of the DMA provides two significant benefits. It guides and constrains gatekeepers in developing solutions to comply with the new rules. At the same time, it holds the EC accountable for its enforcement strategy, ensuring its actions are directed toward achieving specific market outcomes.

[1] Regulation (EU) 2022/1925 of the European Parliament and of the Council of 14 September 2022 on contestable and fair markets in the digital sector and amending Directives (EU) 2019/1937 and (EU) 2020/1828 (Digital Markets Act) [2022] OJ L 265/1.

[2] Ibid., Recital 5.

[3] See Margrethe Vestager, Remarks on the opening of non-compliance investigations under the Digital Markets Act, (2024) https://ec.europa.eu/commission/presscorner/detail/en/speech_24_1702 (all the links were last visited on 15 May 2024), stating that the DMA was born out of a reflection process “very much influenced by our antitrust enforcement experience where we have seen the temptation to flout the law. We have brought several antitrust cases in the tech sector which ultimately led to the DMA. These include cases against Google (Shopping, Android, AdSense and the on-going AdTech investigation), Apple (the AppStore and Apple Pay cases), or Amazon (Buy Box/Prime/Data).” See also Friso Bostoen, Understanding the Digital Markets Act, (2023) 68 The Antitrust Bulletin 264; Marco Cappai and Giuseppe Colangelo, Taming digital gatekeepers: the more regulatory approach to antitrust law, (2021) 41 Computer Law & Security Review 105559; Filomena Chirico, Digital Markets Act: A Regulatory Perspective, (2021) 12 Journal of European Competition Law & Practice 493.

[4] The paradigmatical case used as an example of the ineffective enforcement of EU competition law is the European Commission’s decision in Google Shopping (Case AT.39740, [2017] C(2017) 4444 final).

[5] Commission Staff Working Document, Impact Assessment Report accompanying the Proposal for a Regulation of the European Parliament and of the Council on contestability and fair markets in the digital sector (Digital Markets Act), [2020] SWD/2020/363 final, paras. 2-4 and 9-14.

[6] On the shift from the EU competition law acquis to the regulatory-like instrument and its impact on judicial review, see Pablo Ibáñez Colomo, The Draft Digital Markets Act: A Legal and Institutional Analysis, (2021) 12 Journal of Competition Law & Practice 573.

[7] Gatekeepers’ compliance reports are available at https://digital-markets-act-cases.ec.europa.eu/reports/compliance-reports. On the relevance of compliance reports, see Jacques Cremer, David Dinielli, Paul Heidhues, Gene Kimmelman, Giorgio Monti, Rupprecht Podszun, Monika Schnitzer, Fiona Scott Morton, and Alexandre de Streel, Enforcing the Digital Markets Act: Institutional Choices, Compliance, and Antitrust, (2023) 11 Journal of Antitrust Enforcement 315. For a brief overview of the compliance reports, see Alba Ribera Martínez, Full (Regulatory) Steam Ahead: Gatekeepers Issue the First Wave of DMA Compliance Reports, (2024) https://competitionlawblog.kluwercompetitionlaw.com/2024/03/11/full-regulatory-steam-ahead-gatekeepers-issue-the-first-wave-of-dma-compliance-reports/. In May 2024, Booking was added to the list of gatekeepers for its online intermediation service: see European Commission, Commission designates Booking as a gatekeeper and opens a market investigation into X, (2024) https://ec.europa.eu/commission/presscorner/detail/en/IP_24_2561.

[8] See European Commission, Commission opens non-compliance investigations against Alphabet, Apple and Meta under the Digital Markets Act, (2024) https://digital-markets-act.ec.europa.eu/commission-opens-non-compliance-investigations-against-alphabet-apple-and-meta-under-digital-markets-2024-03-25_en, opening five non-compliance procedures against Google with regards to Articles 5(4) and 6(5), Apple with regards to Articles 5(4) and 6(3) as well as against Meta regarding Article 5(2) DMA. More recently, see also European Commission, Commission sends preliminary findings to Apple and opens additional non-compliance investigation against Apple, (2024) opening an additional non-compliance procedure against Apple with regards to Article 6(4), https://digital-markets-act.ec.europa.eu/commission-sends-preliminary-findings-apple-and-opens-additional-non-compliance-investigation-2024-06-24_en.

[9] The discussion also encompasses the decision-making process within antitrust enforcement, debating between the rule of reason and bright-line rules: see, e.g., Daniel A. Hanley, In Praise of Rules-Based Antitrust, (2024) 2 CPI Antitrust Chronicle 20.

[10] For a proposal on how to operationalize the general anti-circumvention provision under Article 13 DMA, see Jens-Uwe Franck and Martin Peitz, The Digital Markets Act and the Whack-A-Mole Challenge, (2024) 61 Common Market Law Review 299.

[11] Pierre Larouche and Alexandre de Streel, The European Digital Markets Act: A Revolution Grounded on Traditions, (2021) 12 Journal of European Competition Law & Practice 542.

[12] On the idea of the DMA’s hybrid nature from an institutional perspective, see also Anna Tzanaki and Julian Nowag, The Institutional Framework of the DMA: From Hybrid to Mature?, (2024) https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4574518.

[13] DMA, supra note 1, Article 30. In principle, as noted by Anna Tzanaki and Julian Nowag, The DMA’s Cooperative Compliance Setup: Punishment as Ultima Ration, (2024) https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4692533, the sanctioning of the gatekeepers should come as a last resource solution. See also Alba Ribera Martínez, Rocking the Contestability and Fairness Foundations: Multi-Level Governance and Trust Relations for Futureproofing the DMA’s Effectiveness, (2023) 104 European Yearbook of International Economic Law 1, noting that the EC must preserve, to some degree, trust relationships with each of the gatekeepers.

[14] The EC can direct requests for information (Article 21 DMA), carry out interviews, and take statements from any natural or legal person (Article 22 DMA), conduct inspections (Article 23 DMA) as well as retain documents deemed to be relevant to assess the implementation of, and compliance, with the obligations under Articles 5, 6, and 7 (Article 26 DMA). See European Commission, supra note 9, confirming that it would take investigatory steps regarding Amazon’s compliance with the self-preferencing prohibition under Article 6(5) and regarding Apple’s new fee structure and terms and conditions applied for the alternative distribution of apps on its ecosystem under Article 6(4). Moreover, the EC also set out that it had issued retention orders on the documents in Alphabet’s, Amazon’s, Apple’s, Meta’s, and Microsoft’s possession to secure future enforcement.

[15] See DMA, supra note 1, Articles 9 and 10.

[16] See Richard Feasey and Alexandre de Streel, DMA Output Indicators, (2023) CERRE Draft Issue Paper, https://cerre.eu/wp-content/uploads/2023/07/CERRE-Draft-Issue-Paper-DMA-Output-Indicators.pdf. EC officials have repeatedly highlighted that the transformation of the DMA of the structures of digital markets will be dependent on how business users grasp new opportunities and benefits open to them because of its application, but outcomes are not directly expected as a result: see Olivier Guersent, Keynote Speech at the Annual CRA Brussels Conference, (2023) https://competition-policy.ec.europa.eu/system/files/2023-12/20231206_CRA_conference_Olivier-Guersent_speech.pdf.

[17] The shift was made clear via the European Commission’s regulatory template on Article 11 DMA: see European Commission, Template Form for Reporting Pursuant to Article 11 of Regulation (EU) 2022/1925 (Digital Markets Act) (Compliance Report), (2023) https://digital-markets-act.ec.europa.eu/document/download/904debdf-2eb3-469a-8bbc-e62e5e356fb1_en?filename=Article%2011%20DMA%20-%20Compliance%20Report%20Template%20Form.pdf.

[18] Nicolas Petit, The Proposed Digital Markets Act (DMA): A Legal and Policy Review, (2021) 12 Journal of European Competition Law & Practice 536. On the concept of fairness, see Giuseppe Colangelo, In Fairness We (Should Not) Trust: The Duplicity of the EU Competition Policy Mantra in Digital Markets, (2023) 68 The Antitrust Bulletin 618.

[19] On the concept of contestability in the context of the DMA, see Alba Ribera Martínez, The DMA’s Ithaca: Contestable and Fair Markets, (2023) 46 World Competition 429.

[20] See DMA, supra note 1, Recital 54, and European Commission, Inception Impact Assessment, (2020) https://ec.europa.eu/info/law/better-regulation/.

[21] See DMA, supra note 1, Recital 2, remarking on all these economic features as reasons justifying its proportionality.

[22] For an analysis of the reversal of the error-cost framework, see Elias Deutscher, Reshaping Digital Competition: The New Platform Regulations and the Future of Modern Antitrust, (2022) 67 The Antitrust Bulletin 302. Regarding the nature of the DMA’s provisions as per se rules, see Petit supra note 21, 529.

[23] DMA, supra note 1, Article 3(10).

[24] Colomo, supra note 6, 562.

[25] For instance, see Nicholas Hirst, Tech gatekeepers face enforcement action if not compliant with DMA by March, Koenig says, (2024) https://mlexmarketinsight.com/news/insight/tech-gatekeepers-face-enforcement-action-if-not-compliant-with-dma-by-march-koenig-says.

[26] Chirico, supra note 3, 495. The categorization of those provisions as self-executing is not completely straightforward, insofar as it is not particularly clear how gatekeepers should comply with some of the mandates contained under Article 5, most notably the prohibition on processing, cross-using and combining personal data across core platform services.

[27] This differentiation has clear repercussions on the DMA’s public enforcement regarding the terms of engagement between the EC and the gatekeeper, but it also has a clear impact on private enforcement, see Assimakis P. Komninos, The Digital Markets Act and Private Enforcement: Proposals for an Optimal System of Enforcement, (2021) N. Charbit and S. Gachot (eds.), Eleanor M. Fox: Antitrust Ambassador to the World, Concurrences, 425.

[28] On this same point, see David J. Teece and Henry J. Kahwaty, Is the Proposed Digital Markets Act the Cure for Europe’s Platform Ills? Evidence from the European Commission’s Impact Assessment, (2021) 5, https://www.thinkbrg.com/insights/publications/digital-markets-act-eu-impact-assessment/.

[29] On the multi-dimensional nature of the notions of contestability and fairness, see Ribera Martínez, supra note 13, 14.

[30] DMA, supra note 1, Recital 32. See also Oliver Budzinski, Sophia Gaenssle, and Annika Stöhr, Outstanding relevance across markets: A new concept of market power? (2020) 3 Concurrences 38.

[31] Bostoen, supra note 3, 266. In a similar vein, arguing that digital regulation promoting contestability is aimed at diminishing the benefits from network effects and data advantages, see Lazar Radic, Geoffrey A. Manne, and Dirk Auer, Regulate for What? A Closer Look at the Rationale and Goals of Digital Competition Regulations, (2024) ICLE White Paper, https://laweconcenter.org/resources/regulate-for-what-a-closer-look-at-the-rationale-and-goals-of-digital-competition-regulations/.

[32]  Joe S. Bain, Barriers to New Competition: Their Character and Consequences in Manufacturing Industries, (1956) Cambridge: Harvard University Press. The recognition of this structuralist approach under the DMA, from an economic perspective, derives from Amelia Fletcher, Jacques Crémer, Paul Heidhues, Gene Kimmelman, Giorgio Monti, Rupprecht Podszun, Monika Schnitzer, Fiona Scott Morton, and Alexandre de Streel, The Effective Use of Economics in the EU Digital Markets Act, (2024) 20 Journal of Competition Law & Economics 1.

[33] The discussion is illustrated in Preston R. Fee, Hugo M. Mialon, and Michael A. Williams, What Is a Barrier to Entry? (2004) 94 American Economic Review 465, building on Bain’s work but also on George J. Stigler, The organization of industry, (1968) Homewood: Irwin, and Franklin M. Fisher, Diagnosing Monopoly, (1979) 19 Quarterly Review of Economics and Business 23.

[34] See General Court, Case T-1077/23, ByteDance v Commission, EU:T:2024:478, para. 183, recognizing that different CPSs may be characterized by different degrees of intensity in terms of multi-homing.

[35] This impact is also noted in John Davies, Valérie Meunier, Gianmarco Calanchi, and Angelos Stenimachitis, A Missed Opportunity: The European Union’s New Powers over Digital Platforms, (2022) 67 The Antitrust Bulletin 505.

[36] On the concept of potential competition, see Herbert Hovenkamp, Potential Competition, (forthcoming) Antitrust Law Journal.

[37] See also Petit, supra note 18, 540.

[38] DMA, supra note 1, Recital 33.

[39] Pablo Ibáñez Colomo, The New EU Competition Law, (2024) Oxford: Blommsbury, 133.

[40] For an in-depth analysis of the rents that digital platforms may appropriate, see Nicolas Petit and David J. Teece, Innovating Big Tech firms and competition policy: favoring dynamic over static competition, (2021) 30 Industrial and Corporate Change 1168.

[41] On this same complexity, see Torsten Körber, Lessons from the hare and the tortoise: Legally imposed self-regulation, proportionality and the right to defence under the DMA, (2021) Neue Zeitschrift für Kartellrecht 4.

[42] DMA, supra note 1, Article 3(1). On the contrary, the EC has not designated two NIICS surpassing the thresholds under Article 3(2) due to their lack of control over the operations of their business users (i.e., Gmail and Outlook.com): see Decision, 5 September 2023, [2023] C(2023)6101 final, paras. 136, 144, and 145; and Decision, 5 September 2023, [2023] C(2023)6106 final, paras. 104 and 109. Further analysis of these criteria can be found in Alba Ribera Martínez, The Requisite Legal Standard of the Digital Markets Act’s Designation Process, (2024) https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4681963.

[43] For the digital sphere, see General Court, 10 November 2021, Case T-612/17, Google v. European Commission (Google Shopping), ECLI:EU:T:2021:763, and further analysis in Giuseppe Colangelo, Antitrust Unchained: The EU’s Case Against Self-Preferencing, (2023) 72 GRUR International 538. For non-platformed markets, see CJEU, 21 December 2023, Case C-333/21, European Superleague Company, ECLI:EU:C:2023:1011, para. 133; on its potential nexus to digital markets, see Jean-Christophe Roda, What if the Super League Case Was About the Digital Market? (forthcoming) Journal of European Competition Law & Practice.

[44] DMA, supra note 1, Recital 34.

[45] See Petit, supra note 18, 531, arguing that DMA’s provisions do not always require entry to the platform.

[46] Supra notes 4 and 43.

[47] Bundeskartellamt, 7 February 2019, Case B6-22/16. For an analysis of the different episodes of the Facebook saga, including the judgement delivered by CJEU, 4 July 2023, Case C-252/21, Meta Platforms v. Bundeskartellamt, EU:C:2023:537, see, e.g., Giuseppe Colangelo, The privacy/antitrust curse: insights from GDPR application in competition law proceedings, (2023) ICLE Working Paper, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4599974.

[48] The German competition authority only secured commitments from Meta ensuring that Facebook and Instagram accounts would not be prima facie linked: see Bundeskartellamt, (2023) Meta (Facebook) introduces new accounts center – an important step in the implementation of the Bundeskartellamt’s decision, https://www.bundeskartellamt.de/SharedDocs/Meldung/EN/Pressemitteilungen/2023/07_06_2023_Meta_Daten.html?nn=295782.

[49] The interplay between both is nothing new to regulatory theory, as established by Lawrence A. Cunningham, A Prescription to Retire the Rethoric of “Principles-Based Systems” in Corporate Law, Securities Regulation, and Accounting, (2007) 60 Vanderbilt Law Review 1413.

[50] This approach is derived from the European Data Protection Board’s opinion on Meta’s pay or consent model: see European Data Protection Board, Opinion 08/2024 on Valid Consent in the Context of Consent or Pay Models Implemented by Large Online Platforms, (2024) https://www.edpb.europa.eu/system/files/2024-04/edpb_opinion_202408_consentorpay_en.pdf.

[51] See Thierry Breton, Answer given on behalf of the European Commission, (2024) E-003434/2023(ASW), https://www.europarl.europa.eu/doceo/document/E-9-2023-000479-ASW_EN.pdf. In a similar vein, the European Commission stated that, for end users to make informed choices about Meta’s pay-or-consent model, there must be a third option offering free services without relying on behavioral advertising: see European Commission, Directorate-General for Competition and Directorate-General for Communications Networks, Content and Technology, Commission sends preliminary findings to Meta over its “Pay or Consent” model for breach of the Digital Markets Act (2024), https://digital-markets-act.ec.europa.eu/commission-sends-preliminary-findings-meta-over-its-pay-or-consent-model-breach-digital-markets-act-2024-07-01_en.

[52] See Vestager, supra note 3.

[53] Regulation (EU) 2016/679 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC [2016] OJ L 119/1.

[54] Regulation (EU) 2019/1150 on promoting fairness and transparency for business users of online intermediation services [2019] OJ L 186/57.

[55] See Margrethe Vestager’s opinion before the Committee on Internal Market and Consumer Protection, (2024) https://multimedia.europarl.europa.eu/en/webstreaming/committees_20240403-0900-COMMITTEE-IMCO. The six non-compliance procedures triggered by the European Commission in the span of four months since the application of the substantive provisions enshrine this same idea.

[56] Regarding the interplay of information asymmetries between competition authorities and firms, see Luís Cabral, Justus Haucap, Geoffrey Parker, Georgios Petropoulos, Tommaso Valletti, and Marshall Van Alstyne, The EU Digital Markets Act: A Report from a Panel of Economic Experts, (2021) Joint Research Centre of the European Commission, https://publications.jrc.ec.europa.eu/repository/handle/JRC122910.

[57] Despite the gatekeeper included these technical transformations in its compliance report, it presented those same solutions in the compliance workshop organized by the European Commission in late March 2024: for the recording of the event see Compliance with the DMA: Google, (2024) https://webcast.ec.europa.eu/compliance-with-the-dma-google-2024-03-21.

[58] See ByteDance, Compliance Report (Non-confidential Version) under Article 11 of Regulation (EU) 2022/1925 of the European Parliament and of the Council (Digital Markets Act), (2024) para. 10, https://sf16-va.tiktokcdn.com/obj/eden-va2/uhkklyeh7othpu/Bytedance%20DMA%20Compliance%20Report%20Public%20Overview.pdf.

[59] For instance, in its report pursuant to Article 15, ByteDance did not provide much information in this regard.

[60] DMA, supra note 1, Recital 12 and Article 1(6).

[61] Such a case is that of the High-Level Group set out pursuant Article 40 DMA: see Commission Decision 23 March 2023, C(2023) 1833 final. Within the High-Level Group, a sub-group has been constituted to interpret the concept of consent in the sense of Articles 4(11) and 7 GDPR: see Directorate-General for Communications Networks, Content and Technology and Directorate-General for Competition, Kick-off Meeting of the Article 5(2) Digital Markets Act sub-group of the High-Level Group for the Digital Markets Act, (2024) https://ec.europa.eu/transparency/expert-groups-register/core/api/front/document/104022/download.

[62] In fact, they both recognized such replication in the interventions of their representatives in the compliance workshops organized by the European Commission. For the recordings, see Amazon, Compliance with the DMA, (2024) https://webcast.ec.europa.eu/compliance-with-the-dma-amazon-2024-03-20, and Meta, Compliance with the DMA, (2024) https://webcast.ec.europa.eu/compliance-with-the-dma-meta-2024-03-19.

[63] A substantive analysis of the changes proposed by Apple is addressed in Alba Ribera Martínez, Ecosystem Orchestrator, No More? Apple’s Proposed Changes to its Distribution of Apps and Overall Architecture, (2024) https://competitionlawblog.kluwercompetitionlaw.com/2024/01/29/ecosystem-orchestrator-no-more-apples-proposed-changes-to-its-distribution-of-apps-and-overall-architecture/.

[64] The requirements may be found in Apple, Apple announces changes to iOS, Safari and the App Store in the European Union, (2024), https://www.apple.com/newsroom/2024/01/apple-announces-changes-to-ios-safari-and-the-app-store-in-the-european-union/, and Apple, Update on apps distributed in the European Union, (2024) https://developer.apple.com/support/dma-and-apps-in-the-eu/.

[65] Even though consumers may access the first alternative app stores on iOS, the notarization process raised concerns for Epic when it attempted to submit its own binary for launching the Epic Games Store on iOS: see Christopher Dring, Apple calls Epic ‘verifiably untrustworthy’ and blocks Fortnite and App Store on iOS, (2024), https://www.gamesindustry.biz/apple-calls-epic-verifiably-untrustworthy-and-blocks-bid-to-launch-fortnite-and-mobile-store-on-ios#:~:text=The%20move%20followed%20the%20introduction,true%20competition%20on%20iOS%20devices.%22. On alternative app marketplaces, see Callum Booth, We tested Aptoide, the first free iPhone app store alternative, (2024), https://www.theverge.com/24172642/aptoide-ios-game-marketplace-hands-on-europe.

[66] The European Commission has already raised concerns that Apple’s new terms and conditions do not apply to all developers: see Commission decision opening a proceeding pursuant to Article 20(1) of Regulation (EU) 2022/1925 of the European Parliament and of the Council on contestable and fair markets in the digital sector, Case DMA.100109 – Apple – Online Intermediation Services – app stores – App Store – Article 5(4), C(2024) 2056 final, paras 7-9.

[67] See also General Court, supra note 34.

[68] In fact, most of the non-compliance procedures initiated by the European Commission due to gatekeepers’ implementation of their compliance solutions focus on their breach of legal requirements rather than on the concept of consumer harm itself: see, e.g., Commission decision opening a proceeding pursuant to Article 20(1) of Regulation (EU) 2022/1925 of the European Parliament and of the Council on contestable and fair markets in the digital sector, Case DMA.100193 – Alphabet – Online Search Engine – Google Search – Article 6(5), C(2024) 2053 final.

[69] Lewis Crofts, DMA gatekeepers must please customers, not just regulator, EU’s Vestager says, (2024) https://mlexmarketinsight.com/news/insight/dma-gatekeepers-must-please-customers-not-just-regulator-eu-s-vestager-says.

[70] See Louis-Daniel Pape and Michelangelo Rossi, Is Competition Only One Click Away? The Digital Markets Act Impact on Google Maps, (2024) CESifo Working Paper No. 11226,  https://www.cesifo.org/en/publications/2024/working-paper/competition-only-one-click-away-digital-markets-act-impact-google, reporting that, despite a significant increase in Google’s search volume for the query terms maps and google maps, traffic data shows a non-significant decrease in visits to Google Maps, suggesting minimal migration to alternative services.

[71] See European Commission, Commission sends preliminary findings to Apple and opens additional non-compliance investigation against Apple under the Digital Markets Act, supra note 8, taking issue with “Apple’s multi-step user journey to download and install alternative app stores or apps on iPhones.”

[72] Stakeholders have already begun expressing concerns regarding Apple’s compliance with the same obligation. This concern arises from the fact that only 38 applications have been received by app developers out of the 65,000 registered developers who cater for in-app purchases: see Rachel Graf and Leah Nylen, Apple Says No Major App Developers Accept New Outside Payments, (2024), https://www.bloomberg.com/news/articles/2024-05-10/apple-says-no-major-app-developers-accept-new-outside-payments?embedded-checkout=true.

ICLE White Paper

The Cookie Plan Crumbles: Stuck in the Middle with Google

Google recently announced that it has changed its plans to phase out third-party cookies in the Chrome web browser. The company had previously planned to disable third-party cookies in Chrome, a change supported by many in the privacy-stakeholder community, but which was met with criticism from the adtech industry and competition lawyers. Google’s new plans face similar criticism, while raising additional concerns from privacy advocates.

In short, Google is caught between EU privacy laws like the General Data Protection Regulation (GDPR) and competition laws like the Digital Markets Act (DMA). And despite claims that those laws are not in conflict, this episode very clearly shows how different interpretations are clearly in tension.

Read the full piece here.

TOTM

A Positive Agenda for Digital-Competition Enforcement

Reasonable people may disagree about their merits, but digital-competition regulations are now the law of the land in many jurisdictions, including the EU and the UK. Policymakers in those jurisdictions will thus need to successfully navigate heretofore uncharted waters in order to implement these regulations reasonably. In recent comments that we submitted to the UK’s Competition and Markets Authority on the recently passed Digital Markets, Competition and Consumers (DMCC) bill, we tried to outline precisely that sort of “positive agenda” for digital-competition enforcement.

Read the full piece here.

TOTM

Google Previews the Coming Tussle Between GDPR and DMA Article 6(11)

Among the less-discussed requirements of the European Union’s Digital Markets Act (DMA) is the data-sharing obligation created by Article 6(11). This provision requires firms designated under the law as “gatekeepers” to share “ranking, query, click and view data” with third-party online search engines, while ensuring that any personal data is anonymized.

Given how restrictively the notion of “anonymization” has been interpreted under the EU’s General Data Protection Regulation (GDPR), the DMA creates significant tension without pointing to a clear resolution. Sophie Stalla-Bourdillon and Bárbara da Rosa Lazarotto recently published a helpful analysis of the relevant legal questions on the European Law Blog. In this post, I will examine Google’s proposed solution.

Read the full piece here.

TOTM

Confronting the DMA’s Shaky Suppositions

It’s easy for politicians to make unrealistic promises. Indeed, without a healthy skepticism on the part of the public, they can grow like weeds. In the world of digital policy, the European Union’s Digital Markets Act (DMA) has proven fertile ground for just such promises. We’ve been told that large digital platforms are the source of many economic and social ills, and that handing more discretionary power to the government can solve these problems with no apparent side effects or costs.

Read the full piece here.

TOTM

The Future of the DMA: Judge Dredd or Juror 8?

When it was passed into law, the European Union’s Digital Markets Act (DMA) was heralded by supporters as a key step toward fairness and contestability in online markets. It has unfortunately become increasingly clear that reality might not live up to those expectations. Indeed, there is mounting evidence that European consumers’ online experiences have been degraded following the DMA’s entry into force.

The perception that the DMA has been a failure is beginning to motivate a not insignificant amount of finger pointing in Brussels. So-called “gatekeeper” firms have blamed heavy-handed regulation for their degraded services, while smaller rivals finger “malicious compliance.”

Read the full piece here.

TOTM

Does the DMA Let Gatekeepers Protect Data Privacy and Security?

It’s been an eventful two weeks for those following the story of the European Union’s implementation of the Digital Markets Act. On April 18, the European Commission began a series of workshops with the companies designated as “gatekeepers” under the DMA: Apple, Meta, Alphabet, Amazon, ByteDance, and Microsoft. And even as those workshops were still ongoing, the Commission announced noncompliance investigations against Alphabet, Apple, and Meta. Finally, the European Parliament’s Internal Market and Consumer Protection Committee (IMCO) held its own session on DMA implementation.

Many aspects of those developments are worth commenting on, and you can expect more competition-related analysis on Truth on the Market soon. Here, I will focus on what these developments mean for data privacy and security.

Read the full piece here.

TOTM

The High Cost of Copying Brussels

As more jurisdictions move to copy digital competition regulations modelled on the EU’s approach, they must confront the high costs these regimes impose. Those costs extend beyond drafting new rules. They include ongoing monitoring, enforcement, and constant adjustment to fast-moving digital markets.

For developing countries, the risks run even higher. Importing costly and untested regulations may not fit local conditions and could deter much-needed foreign investment and innovation. These regimes also carry steep opportunity costs: they divert scarce resources away from core competition enforcement and other urgent policy priorities. Any serious cost-benefit analysis must account for those tradeoffs.

Are Trump’s Tariffs A Blessing in Disguise for Europe’s Tech Sector?

Less than a month has passed since President Donald Trump’s inauguration, but it is already clear that tariffs will be central to his administration’s economic policy and geopolitical strategy. Following an initial round of tariff threats against Mexico and Canada, and hiked tariffs on China, Trump is setting his sights on new targets—the European Union chief among them. Most recently, Trump declared that he will treat value-added taxes (VAT) like those assessed by EU members to be a form of tariff, and to assess equivalent reciprocal tariffs in return.

Counterintuitively, this might actually be good news for Europe’s tech sector.

Read the full piece here.

TOTM

Draghi Report Highlights Why to Be Wary of the ‘Brussels Effect’

Everyone in Europe, and across the international competition-law sphere, seems to have their own interpretation these days of former Italian Prime Minister and European Central Bank President Mario Draghi’s recent report “The Future of European Competitiveness (a.k.a., the “Draghi report”). And, of course, those various interpretations, unsurprisingly, inevitably match the interpreter’s policy preferences.

This is not necessarily the fault of those commenting on the report. As The Economist notes: “Mr. Draghi’s recommendations are so numerous that policymakers will be able to pick and choose from among them.” But despite these somewhat equivocal prescriptions, the report makes at least one thing crystal clear: the EU’s regulatory zeal is not the success story its proponents make it out to be.

This is most evidently true in the area of digital markets, where the EU has enacted several sweeping regulations in recent years: the General Data Protection Regulation (GDPR), the Digital Services Act (DSA), the Digital Markets Act (DMA), and the AI Act. As I explain below, the Draghi report ought to be received by other jurisdictions as an admonition to be cautious about following the European example when it comes to digital markets regulation.

Read the full piece here.

TOTM

From Europe, with Love: Lessons in Regulatory Humility Following the DMA Implementation

The European Union’s implementation of the Digital Markets Act (DMA), whose stated goal is to bring more “fairness” and “contestability” to digital markets, could offer some important regulatory lessons to those countries around the world that have been rushing to emulate the Old Continent.

Read the full piece here.

 

TOTM

Latin America Should Follow Its Own Path on Digital-Markets Competition

In order to promote competition in digital markets,[1] Latin American countries should not copy and paste “solutions” from other jurisdictions, but rather design their own set of policies. In short, Latin American countries—like my own, Peru—should not “put the cart before the horse” and regulate markets that are not yet mature.

Read the full piece here.

TOTM

Politics Disguised as Competition

Digital competition regulations claim to protect competition, but in practice they often reflect political and protectionist aims rather than clear responses to market failure.

Critics of the DMA, for example, question whether the concept of “gatekeepers” makes technical or economic sense at all. They also argue that the DMA signals a deeper shift in competition policy—away from consumer welfare and toward goals such as wealth redistribution, promoting EU-based platforms, constraining U.S. tech firms, and advancing broader political objectives.

Even if the case for digital competition regulation in the EU remains open to debate, emerging-market countries should be especially cautious. Importing a regime designed for very different markets, institutions, and priorities risks doing more harm than good.

Rearranging Deck Chairs on the Titanic of Latin American Competition Policy

Competition authorities and policymakers around the world have devoted a growing proportion of their time and resources over the last decade to digital markets. Typically, this attention has been accompanied by vocal antipathy toward large digital platforms, as regulators and lawmakers invoke the need to “rein in digital monopolies” that allegedly cause a broad array of social harms.

As I detail in a new International Center for Law & Economics (ICLE) white paper, Latin America has been no exception to this trend. Competition authorities in Latin America have targeted digital markets by initiating cases, investigations, and studies similar to those in Europe and the United States. At the same time, the region’s competition agencies have come under harsh criticism for allegedly being “too technocratic” and “too narrowly focused” on consumer welfare. Some populists have attacked competition agencies for being “neoliberal institutions,” with calls to curb their powers or take away their independence.

As I argue in the ICLE white paper, Latin American agencies should resist these pressures and use their scarce enforcement resources to address behavior that truly hurts consumers and distorts competition. Toward that end, digital markets need not (and likely should not) be their primary concern.

Read the full piece here.

TOTM

Regulatory Reconquista: Ex-Ante Regulation of Digital Platforms in Latin America

Abstract

The rise of digital markets has kicked off public-policy debates around the globe premised on the assumption that such markets’ special characteristics pose unique challenges for antitrust enforcement. This has led several Latin American policymakers and agencies to consider the enactment of ex-ante regulation or “digital competition regulations” (DCRs) similar to the European Union’s Digital Markets Act (DMA). Some Latin American agencies and policymakers (e.g., in Mexico and Brazil) are already well on their way toward exploring that path. This paper challenges the fundamental premise that digital markets require de novo approaches to competition law, and recommends that Latin American jurisdictions follow their own policy path based on the region’s market and political realities and challenges.

The introduction briefly explains how Latin American legislation—particularly competition laws—long have been inspired by European counterparts. It also describes the “power competition” among developed countries that creates incentives for European policymakers to seek to expand their regulatory sphere of influence—in the case of the EU pushing Latin America to adopt its path, this can fairly be described as a modern “Reconquista” of sorts.

Section 1 reviews public-policy reports on the digital economy in Latin America in order to identify any shortcomings or regulatory bottlenecks. It concludes that while competition in digital markets is important, insufficiently competitive digital markets are not among Latin America’s most urgent public-policy priorities. Indeed, Section 1B illustrates that the region’s digital markets are “reasonably competitive.” While some actors, such as Google and Microsoft, appear to enjoy large and durable market shares, which could indicate excess market power, other so-called “Big Tech” platforms have much smaller market shares and face significant competition. In fact, new actors are thriving in the e-commerce, FinTech, ride-hailing, and food-delivery markets. This suggests that barriers to entry are much lower than proponents of DCRs often make them out to be.

Moreover, as highlighted in Section 2A, digital markets generally do not exhibit the kind of “market failures” that warrant ex-ante regulation. They are not characterized by natural monopolies, significant negative externalities, public goods, or informational asymmetries. Section 2B explores arguments made by DCR proponents that antitrust law is too slow and cumbersome to address competition issues in digital markets. Section 2C analyzes a number of key cases, investigations, and advocacy reports produced by Latin American competition agencies, which demonstrate that much can be done to address purported competition problems by employing the procedures and remedies of traditional antitrust law (even if Latin American agencies have not actually done much).

Finally, Section 3 examines possible reforms of those policies that hinder Latin American firms and innovators from growing and creating more digital services and products. We conclude that Latin American entrepreneurs would benefit greatly from regulatory and licensing reform; greater incentives for private investment (especially in telecommunications infrastructure); elimination of legal barriers to entry; labor and tax reforms; the alleviation of unnecessary regulatory burdens; and better provision of public goods, such as infrastructure and education, in order to unleash the market’s talent and creativity.

Introduction

European law has long influenced legislation in Latin America. This was most obvious during the colonial era, when most countries were either Spanish, Portuguese, or French colonies, but the trend has continued long after the United States gained more economic and political influence in the region. Examples can be found in the civil codes of several Latin American countries that were approved in the late 1970s and early 1980. These codes were strongly influenced by Italy’s Codice Civile of 1942.[1]

In recent times, the growing influence of the European Union has manifested itself in various ways. One area where this has been most apparent is data privacy. The enactment of the EU General Data Protection Regulation (GDPR) in 2016 resulted in the proliferation of data-privacy laws across Latin America that were substantially similar to the GDPR,[2] even despite mounting evidence that the GDPR hindered venture-capital investment and increased market concentration in Europe.[3]

Competition law has not been immune to this influence. According to Alfonso Miranda, “the structure of EU competition law has been adopted by the legislations of the Latin-American countries and by the Andean Community of Nations – CAN.”[4] Likewise, Julián Peña explains that while the “economic reasoning” of U.S. antitrust law has had a major influence in Latin America, “most of the competition legal framework in Latin America during this period has been mainly influenced by the European model (e.g., Argentina, Brazil, and Peru), whether in substance (e.g., abuse of dominant position) or in the procedure.”[5] In Argentina, as German Coloma notes, Act 22,262 enacted in 1980, “implied a movement towards rules that were analogous to European standards, since Articles 1 and 2 of Act 22,262 were clearly inspired by Articles 85 and 86 of the Treaty of Rome.”[6]

Against this backdrop, there is a growing sense that European law is once again set to influence policy in Latin America, this time in digital-competition policy. Due to geopolitical considerations, the European Union is looking to increase its influence in the region (as well as the presence of its domestic firms) by imposing its regulatory model for the digital sphere.[7] This strategy can be seen as part of an unfolding “great power competition.”[8]

Unfortunately, there is reason to believe Europe’s digital regulations are not guided solely by concern for consumer welfare, and are instead crafted to promote the interests of European firms. There is, indeed, some indirect evidence of the protectionist motivations of the EU’s Digital Markets Act (DMA).[9] French President Emmanuel Macron declared in 2020: “If we want technological sovereignty, we’ll have to have to adapt our competition law, which has perhaps been too much focused solely on the consumer and not enough on defending European champions.”[10] As Meredith Broadbent has explained:

…the DMA threatens to impose heavy-handed antitrust measures and to exclusively levy punitive fines on large U.S. firms, while leaving other countries’ tech firms—namely European, Chinese, and perhaps Russian companies supplying essentially the same services—untouched. Europe’s success in assuming the role of global standards-setter in the area of privacy under the GDPR has energized Brussels, as it seeks further control over the business practices of successful U.S. companies.[11]

Despite this evidence, policymakers, regulators, and competition agencies around the world have in recent years rushed to introduce so-called “digital competition regulations” (DCRs),[12] inspired primarily by the DMA. Latin American policymakers and agencies are no exception.[13] The Andean Community (CAN), for instance, is considering specific regulations for digital markets. In late 2022, CAN General Secretary Jorge Hernando Pedraza declared:

We are sure that this initiative will strengthen the specialized knowledge of digital markets at the regional level and the application of community rules for the investigation and sanction of anticompetitive practices and abuse of dominance in the Andean region, without prejudice to the evaluation of the possible development of specific regulations for digital markets, as part of our agenda.[14] (emphasis added)

In Mexico, the Federal Economic Competition Commission (COFECE) published a digital-strategy report[15] that proposed creating a digital-markets competition unit similar to the one recently implemented in the United Kingdom.[16] COFECE’s strategy contemplates:

Whether or not it is necessary to identify, under specific categories, digital platforms with certain capacities to influence or distort markets; [and]

Whether or not it is necessary to consider specific regulation to delimit the conduct of digital platforms that fall into said categories or that may otherwise distort markets.[17] (emphasis added)

In Peru, the National Institute for the Defense of Competition and Protection of Intellectual Property (INDECOPI) has proposed—in a market report on the financial-technology (FinTech) sector—studying the possibility of enacting “open banking” or “open finance” regulations to “level the information playing field.”[18]

Brazil, however, appears to be “leading the race,” as it is the only Latin American country with an actual regulatory proposal. In October 2022, Federal Deputy João Maia introduced Bill No. 2768/2022 on digital markets regulation.[19] The bill’s statement of reasons included a discussion about the need to avoid imposing “absolute prohibitions” on digital platforms, but it also included a non-rebuttable presumption that any company with annual operational income of more than R$70 million should be considered a “gatekeeper” (“detentores de controle de acceso essencial”). The measure would mandate that these gatekeepers give “equal and non-discriminatory treatment” to “professional users” and “not to refuse to provide access to their digital platforms to professional users.”

The bill also specifically mentioned the DMA in its statement of reasons:

In the European Commission, the ‘Digital Markets Act,’ aimed at the so-called ‘gatekeepers’ in the digital world, is quite detailed and was approved in 2022.

We believe it is appropriate to introduce regulation in line with the European Commission, but in a much less detailed way. This is because we are dealing with issues of extreme relevance, which require regulatory responses much faster than what is possible in defense of competition but which are sufficiently new to indicate that it is not appropriate to place an ex-ante straitjacket on economic agents, with a series of absolute prohibitions.[20]

More recently, Brazil’s Ministry of Finance unveiled its report on the economics and competition dynamics of digital platforms.[21] The report did not recommend implementing DCRs but instead called for a “more flexible,” quasi-regulatory approach similar to the existing regulatory regimes in Germany, Japan, and the United Kingdom. This would entail, the ministry reports, applying “case-by-case specific obligations” to “systemically relevant digital platforms.”

In short, while it remains unclear the extent to which DCRs will be implemented in Latin America, there is no doubt that Europe and the DMA exerts at least some influence among Latin American policymakers. This raises a crucial question: is the EU’s approach sensible? And even if it is sensible for the EU, does that necessarily make it an appropriate regulatory approach in the context of Latin America? These questions are analyzed in the following sections.

I. If DCRs Are the Solution, What’s the Problem?

This section reviews public-policy reports on the digital economy in Latin America in order to identify relevant shortcomings and bottlenecks. While competition concerns remain important across the region, they are not among the most urgent public-policy priorities for Latin America. Moreover, Part B illustrates that the region’s digital markets are “reasonably competitive.” While some actors—such as Google and Microsoft—do appear to enjoy large and durable market shares, which could indicate excess market power, other so-called “Big Tech” platforms have much smaller market shares and face significant competition. Indeed, new actors are thriving in the e-commerce, FinTech, ride-hailing, and food-delivery markets. This suggests that barriers to entry are much lower than DCR proponents often make them out to be.

A. Digital Markets in Latin America

Before considering new regulations, Latin American countries should think carefully about their policy objectives and the best way to accomplish them. Among the questions that must be asked:

  • Is there a need to “tame” large digital platforms?
  • Do these platforms somehow constrain growth and innovation?
  • Do they create inefficiencies or inequities?
  • Are “contestability” and/or “fairness” insufficient in digital markets?

It is safe to say that there is little evidence that would merit answering any of these questions affirmatively. If anything, Latin American societies need greater access to and use of digital platforms so that citizens can more readily access information, education, markets, and opportunities.

One important problem is that the proposed DCRs discussed in the introductory section are grounded primarily on theoretical concerns about competition—not the diagnosis of actual competition problems (or any other sort of market problems) in the Latin American digital economy. In contrast, most public-policy reports that actually analyze the Latin American digital economy see it as a tool to enhance economic growth, knowledge, productivity, and social inclusion, and highlight its enormous growth in recent years.

A 2013 report by the United Nations’ Economic Commission for Latin America and the Caribbean (ECLAC), for example, found that:

After two decades of implementing policies that have emphasized the development of infrastructure, access to the Internet and the diffusion of ICTs, evidence shows a significant share of the digital economy in GDP. ECLAC estimates indicate that, on average for Argentina, Brazil, Chile and Mexico, it reaches at least 3.2%, a non-negligible figure if we consider that in the 27 countries of the European Union the corresponding percentage is 5%.[22]

But unlike in the United States or (to a lesser degree) Europe, information and communications technology (ICT) has not led to broad productivity increases in Latin America. Rather than insufficient competition, the primary reason for this appears to be “the existence of barriers to the use of ICTs as a source of increased productivity and growth.”[23] Latin American firms lack the management efficiencies, human capital, and broader infrastructure that their counterparts in the United States and Europe enjoy.[24] Failures to engage in effective state modernization or to proper education on the use of ICT may also play a role.[25]

A more recent OECD report, produced in concert with the EU and the United Nations, underscored that this “digital divide” has served as a barrier that impedes Latin Americans from taking advantage of ICT to foster growth and productivity,[26] and noted the region still has a “high and increasing” productivity gap with developed economies.[27] Citing the Digital Ecosystem Development Index’s measurements of the impact of digitalization on economic development, the report notes that:

Despite significant advances in the last 15 years, LAC’s digital ecosystem is at an intermediate level of development (index value 48.7 on a scale of 0 to 100), compared with Africa (34.2), Asia-Pacific (42.1), the Middle East and North Africa (55.4), the OECD area (66.8), Western Europe (67.6) and North America (75.4).[28]

While the index does mention “competitive intensity” as one of the area in which Latin America continues to fall short, this referred only to competition in telecommunications services (mobile services, fixed broadband, mobile broadband and cable TV).[29]

But as I have argued, a lack of competition in “digital markets” or digital platforms is not the primary problem holding back the productive use of digital technologies in Latin America. More basic problems like access to digital services and a general lack of knowledge about how to use ICT remain the main bottlenecks. While Latin American countries have experienced significant growth in internet access—the percentage of the population who use the internet regularly nearly doubled from 2010 to 2018, reaching 68%,[30] while more recent data suggest that 75% of the population now uses the internet[31]—there remains a large gap in the quality of access.

[D]espite improvements, connection speeds are below the world average, limiting types of services and apps available. Low connection speed prevents simultaneous apps, a critical issue during the coronavirus (Covid?19) pandemic.[32]

Moreover, in Latin American markets where relatively few people have the skills to use ICT, it is significantly harder for entrepreneurs to exploit opportunities on digital platforms, let alone to create their own platforms and complementary services. This, naturally, also applies to business users who are unable to take advantage of digital services. The fact is that:

Less than half of Latin Americans have used a computer or have sufficient skills to use computers for basic professional tasks. …

The most common daily activities among those with computer skills were using the Internet for information gathering (73%) and email (69%), followed by real?time communications, such as videoconference or chat. Only 8% used computers for programming. Computer and Internet use varies by country. In Mexico, 15% use ICT to conduct transactions at least once per week, compared with 30% in Chile.[33] (emphasis added)

According to the OECD’s 2019 “Shaping the Digital Transformation in Latin America” report:

In terms of broadband access and use, although relevant advances have been made, there is still a long way to go. As noted above, some 38% of the population of LAC was not yet connected to the Internet in 2017, implying that some 237 million people were considered to be “offline”. Brazil, Mexico and Colombia, alone, for their size and populations, jointly still need to connect around 133 million people. In addition, that estimate does not yet qualify for the type or quality of Internet access. From the 391 million connected people in LAC, for example, only one-quarter of them, or 103 million, had a fixed broadband subscription at the end of 2017 (Figure 2.1). However, progress is being made rapidly, and more than 40 million more people were connected to a fixed network at the end of 2017 than in 2014 (OECD/IDB, 2016). Moreover, some 86 million additional people were online in 2017 compared to 2014. [34]

The report also highlighted lack of skills as a barrier to ICT adoption:

Skills levels are poor in the region, due to the low quality of primary and secondary education and structural barriers. Young Latin Americans perform poorly in reading, mathematics and science compared to their counterparts in OECD countries. Between 23 and 70% of young Latin Americans enrolled in school do not acquire basic-level proficiency in reading, mathematics and science, according to PISA results. (…) less than 3.6% of LAC students perform among the highest levels of proficiency in either mathematics, reading or science. In contrast, 15% of students in OECD countries perform in the top in at least one of these subjects.

This constitutes an obstacle to further develop more specific skills and may hamper innovation. While the latest PISA results show a moderate improvement over time in students’ learning outcomes, results remain poor compared to many other regions in the world.

(…) 43 million young Latin Americans aged 15 to 29, or 31% of the youth population, have not completed secondary education and are not enrolled in school. Even those who graduate suffer from poor quality education and transition into adult life with skills far down the ranks in comparative international evaluations such as PISA.[35] (citations omitted, emphasis added).

The 2019 OECD report did mention that “ensuring sufficient competition in the digital economy is also a challenge” and that “competition authorities must be prepared with flexible tools and co-operate across borders to address transnational competition issues.”[36] It also included a section on “Competition in the Digital Economy,” which noted that “digital technologies and data lead to greater competition in many markets” but that they “also have demonstrated a potential to tilt others toward greater concentration, market power or even dominance.”[37]

It is important to point out, however, that the report mentioned only potential competition problems or challenges to competition agencies. The report did not reference any data regarding harms to competition, or highlight any market trends that suggest rising concentration or market power. More importantly, the report did not suggest any major policy changes, let alone endorse DCRs or any other kind of regulation. Instead, it recommended greater coordination among the various jurisdictions’ competition agencies, as well as with other (e.g., consumer-protection or data-privacy) agencies within their own jurisdictions:

As digital transformation continues to affect competition, it may lead to some new challenges for competition policy frameworks that were designed with traditional products in mind. One such challenge is that digitalisation may introduce new dimensions of competition in markets, as well as new ways to achieve anticompetitive outcomes, such as the use of algorithms to collude. In addition, a range of issues will require competition authorities to enhance their advocacy efforts and deepen their co-operation with consumer protection, data protection and other regulators. These include the use of consumer data under the relevant data protection safeguards as a competitive asset when providing products at no cost, or when developing personalised prices.

Co-operation may be needed across borders to ensure that common standards are applied and that information is available to regulators. Bilateral and regional enforcement may also be useful, for example joint decision making between jurisdictions, although it is important that clear rules exist to indicate how enforcement actions are to be addressed if there are bodies with overlapping responsibilities.[38]

In other worse, even if there are reasonable concerns about competition in the “digital economy,” no putative competition problem (i.e., strategic barriers to entry implemented by a dominant incumbent) should be considered the primary constraint on the use of digital services and products to foster growth and productivity in the region (or even to its beneficial use by individuals). Most diagnoses about the state and impact of the digital economy in Latin America identify far more fundamental problems. Digital-markets regulation, therefore, should not be a public-policy priority for Latin America.

Despite this conclusion, some DCR proponents nonetheless point to “lack of competition” as a valid reason to adopt ex-ante regulation. Part B will explore if the evidence on this point.[39]

B. Are Digital Markets Competitive in Latin America?

As Section 2 will explore in greater depth,[40] most DCRs have a broad scope and are designed to cover all “digital markets,” including myriad products and services—from search engines to online marketplaces to operating systems to streaming platforms.[41] If a single body of rules is meant to regulate all “digital markets” due to an alleged lack of competition, all or most markets covered by those rules must show symptoms of a “decline in competition.” If digital markets instead offer evidence that competition is sufficiently vigorous, that should be reason enough to reevaluate the scope of DCRs, if not to abandon them altogether.

There are few comprehensive assessments of the state of competition in Latin American digital markets,[42] but it is possible to find reports and statistics covering such markets as e-commerce, FinTech, and ride-hailing platforms that show consistent growth and entry. Market share and market concentration are, of course, imperfect proxies for competition,[43] but the available evidence does not appear to support the common contention that “Big Tech” companies are “monopolies” in Latin America.

Google is arguably the only company that enjoys a dominant position—in its case, in the search-engine market in Latin America. Not only does it have an extremely large market share in the region—93.27% in 2024[44]—but it has also maintained that position for more than a decade.[45] Microsoft also enjoys extremely high market shares in the operating-system market, especially if the desktop OS market is measured separately from mobile. In the desktop OS market, Microsoft, owner of Windows, is the clear leader, with 88.42% market share,[46] followed distantly by Apple’s OSX, with a 4.56% market share.[47] In the mobile OS market Google’s Android has an 83.43% market share, followed by Apple’s iOS with a 16.33% market share.[48]

This does not mean, however, that these firms can exercise market power without any consequence. In recent years, mobile devices can substitute for desktops for a growing number of use cases.[49] Microsoft, therefore, is not only constrained by its edge competitors in the desktop OS market, but also by what participants in the mobile OS market are doing to enhance the experience of tablet and smartphone users. Google, in turn, faces potential competition in the search-engine market from artificial intelligence (AI) chatbots like ChatGPT and from AI search applications developed by Microsoft, Meta, and other firms.[50] Even if we assume that Google has incontestable monopoly power, regulation would be difficult to implement.[51]

Other “usual suspects” of market dominance, such as Meta or Amazon, have smaller but still important market shares. Meta, the owner of Facebook and Instagram, has a large market share in the social-media space: 71.87%, if Facebook (48.92%) and Instagram (22.95%) are lumped together.[52] Facebook’s market share is, however, declining, and newer platforms like TikTok are gaining users.[53] Indeed, TikTok has had an extraordinary rate of growth, attracting an annual average of 340 million active new users worldwide from 2018 to 2022.[54] The example of TikTok demonstrates how a new competitor with an attractive product can challenge an established incumbent like Meta, despite lacking its network effects, scale, or data advantages.

Conversely, Amazon may be the “big tech” company facing the most competition in Latin America; it is sometimes even the underdog against the regional “unicorn” Mercado Libre or other local platforms. A recent report about online marketplaces across Latin America and the Caribbean found that “(a)s of August 2022, there were 893 B2C or C2C online marketplaces in the LAC region, accounting for 2,876 websites (URLs).”[55] As shown in Table 1, there are more than 20 marketplaces that have averaged a more than 1% share of online traffic from 2019–2021.

TABLE 1: Share of Marketplace Traffic in Latin America, 2019-2021 (%)

SOURCE: Estefanía Lotitto and Bernardo Díaz de Astarloa (2023)

It is important to note that the list only includes marketplaces focused specifically on Latin American and Caribbean countries. The full number of competitors might be even larger, as the list does not take into account online traffic to international marketplaces where Latin American consumers also shop.

Report authors Estefanía Lotitto & Bernardo Díaz de Astarloa acknowledge that there has been significant entry in the e-commerce market, but suggest that Latin American governments should nonetheless “monitor competition patterns in the e-commerce market to avoid dominant positions and mitigate economic risks associated with competition between traditional SMEs who lack the capabilities to operate effectively in digital channels and large, established marketplaces.”[56] The authors do not explain what kind of monitoring these government should be doing, but given that also do not endorse any changes to the legal system, it is fair to assume they do not have DCRs in mind.

According to the OECD, e-commerce in Latin America:

While it remains relatively small (…), it is growing rapidly: revenues reached USD 45.4 billion in 2017 compared to USD 29.8 billion in 2015. While not all e-commerce firms are platforms (e.g., many traditional retailers also sell their products on their own websites), many of the largest players in e-commerce in Latin America are platforms: the main e-commerce retailers in Latin America include MercadoLibre, Amazon, B2W Digital, Alibaba, eBay, CNova, Apple, Walmart, Google Shopping, Buscape.[57]

Given this backdrop of growing demand, it would be extremely difficult for an alleged monopolist to exercise market power, as that demand would not be satisfied by the restriction of output; it would instead likely attract new sellers.[58] In the case of e-commerce (as in most, if not all, digital markets), low barriers to entry facilitate such additional competition.[59]

In the case of Amazon, for instance, there is empirical evidence that it not only competes in Mexico but competes intensively with other distribution channels, and has a net-positive welfare effect on Mexican consumers. A 2022 paper found that “e-commerce and brick-and-mortar retailers in Mexico operate in a single, highly competitive retail market” and that “Amazon’s entry has generated a significant pro-competitive effect by reducing brick-and-mortar retail prices and increasing product selection for Mexican consumers.”[60]

The recent entry of other marketplaces into the region (e.g., Shein) suggests that the e-commerce market is highly competitive. Moreover, there is a substantial margin for expansion, which suggests that demand could grow even more: “For instance, in 2017, 35% of Chileans had purchased online, compared to 27% in Brazil, 13% in Mexico, and 8% in Colombia.”[61]

Recently, Aeropost—a U.S. shipping and logistics company already operating in other Latin American and Caribbean countries—entered to compete in the Peruvian e-commerce market with the inauguration of its own marketplace. The business journal Semana Económica explains that “(t)he company – specialized in importing products from the United States to Latin America – seeks to take advantage of the growth of electronic commerce in the region.”[62] The company‘s CEO highlighted the relatively low penetration of e-commerce in the country: “(w)hen we talk about e-commerce in Latin America, the numbers are still very small compared to total retail. So, it is about opening, about making the pie grow, and not about the percentage of the market you have.”[63]

Regarding the FinTech market, the evidence also suggests a market experiencing consistent growth and entry:

One study identified 703 Fintech start-ups in 16 Latin American countries in 2017 (IDB and Finovista, 2017), of which 33% were in Brazil, 26% in Mexico, 12%, in Colombia, 10% in Argentina and 9% in Chile. A year later, the study identified 1,166 companies in the region, representing a 66% increase from the previous year (IDB and Finovista, 2018). The main business segments in which these Fintech start-ups are active include payments and remittances (24%), lending (18%), enterprise financial management (15%), personal financial management (8%) and crowdfunding (8%) (IDB and Finovista, 2018, p. 15).[64]

INDECOPI’s report on the FinTech sector found that the number of FinTech companies operating in Peru has been growing at an annual rate of 15%, reaching 154 companies in 2022 from 50 in 2014.[65]

FinTech, importantly, is not only competitive, but it is also “boosting competition.” As Bas Bakker et al. explained: “(t)he proliferation of new financial technology and digital banks is associated with a reduction in lending spreads. (…) fintech companies do not just compete with banks and insurance companies; they also provide banks and insurance companies with new technologies and services.”[66] The growth of FinTech services has also improved financial inclusion:

About three-quarters of digital banks’ customers are previously unbanked and underbanked consumers and small and medium enterprises (SMEs). A higher level of fintech adoption is associated with lower income inequality. Alternative finance has boosted access to finance for micro, small, and medium enterprises—sectors that have been underserved by the traditional banking system.[67]

Ride-hailing and food delivery may be the digital markets experiencing the most intense regional competition. According to The Economist, “(i)n 2021 Latin American startups attracted around $16bn in investment, roughly as much as in the previous ten years combined.”[68] Many of those firms are digital platforms that:

Aim to make life more convenient—groceries or takeaway food delivered to your door, for example. The likes of Cornershop, a Chilean app that started in 2015 and was bought by Uber in 2020, and Rappi, a Colombian app, are now used across the region. Both have expanded to do more, including delivering small parcels and running errands.[69]

Apps like Uber, Cabify, and Didi disrupted the traditional private-transport market in Latin America. Using Brazilian municipal data from 2014-2016, Guilherme Mendes Resende and Ricardo Carvalho de Andrade Lima found: “Uber’s entry into the market resulted in an average reduction of 56.8 percent in the number of rides from [the other] cab-hailing apps in the cities where the platform operates.”[70]

While there are some companies with large market shares in these markets, the landscape is highly competitive. As Scott Beyer has noted:

While Uber and Didi do in fact dominate LatAm rideshare, it hasn’t been easy. And in food delivery, they’re actually losing to the region’s homegrown companies. In either case, government regulation (or lack thereof) dictates their trajectory. (…)

Uber and Didi are both expanding in these regions, and see in urbanized Latin America a particularly alluring battleground. (…).

I saw the battle play out in my first stop, Mexico City. Uber dominated Mexico for years, but now has less market share there than Didi. It was easy to see why: each time I needed a ride, I’d find Didi had slightly lower prices.

But once getting further down into LatAm, I found the market got more crowded—namely for food delivery. Three regional apps now beat both Uber and Didi in delivery market share. PedidosYa, based in Uruguay, is dominating Central and far South America. Rappi, a delivery and finance app, wins its home country of Colombia and several surrounding ones. iFood, based in Sao Paulo, is all over Brazil, by far the region’s biggest market. These apps draw global investors and generate lots of buzz.[71]

There is also evidence that Latin American digital economy is not only competitive, but that it has made “traditional” industries more competitive. For example, COFECE’s digital-strategy report recognized that:

So far, the arrival of some technological giants in the Mexican markets has generated competitive pressure for traditional companies. For example, the growing activity of companies such as Google and Facebook in the advertising market may have the effect that important companies established in this market face greater competition and work hard to satisfy the demands of their consumers. Something similar could happen in sectors such as retail sales, finance, mobility and entertainment, whose traditional markets present significant levels of concentration, and which with the arrival of companies such as Amazon, Uber, Cabify, Didi, various Fintech, Apple and Netflix could benefit from the competition process.[72]

Similarly, Esteban Greco and María Fernanda Viecens found that:

Digital players act as disruptive suppliers with respect to traditional players. In various markets it is observed that it is digital developments that exert competitive pressure on the market, and those that provide innovative products and technological alternatives, resulting in the competitive process including both traditional and digital players. So, in such cases, more than digital markets, digital players are observed breaking into traditional markets and exerting competitive pressure on established suppliers.[73]

In summary, there is evidence of market growth and entry in various digital markets across Latin America, suggesting that barriers to entry are low. If that is indeed the case, firms’ attempts to exercise market power would be disciplined by competition. Therefore, a general “lack of competition” in digital markets is a poor rationale to create DCRs in Latin America.

II. Are DCRs Needed Where There Is Sufficient Competition?

DCR proposals rest on the premise that digital markets “dominated by large digital platforms” (so-called “Big Tech” firms) are not and cannot be sufficiently competitive due to certain “characteristics” that make them prone to concentration and monopoly. Thus, even if certain digital markets appear to be competitive, the argument goes, it is inevitable that they will eventually become monopolies, and regulation is needed to prevent that. Giuseppe Colangelo summarizes the argument well:

The distinctive features of digital markets apparently require a rethinking of the antitrust regime. The presence of strong economies of scale, extreme indirect network effects, remarkable economies of scope due to the role of data as a critical input, and conglomerate effects, along with consumers’ behavioural biases and single-homing tendencies, represent significant barriers to entry that make digital markets highly concentrated, prone to tipping, and not easily contestable. Therefore, large incumbent players appear not to be under threat and hard to dislodge. Moreover, digital platforms act as gatekeepers (either by controlling the access of third-party firms to their users or controlling the consumption of products and services by their users) and regulators (due to their rule-setting role within their ecosystem), and frequently play a dual role, being simultaneously operators for the marketplace and sellers of their own products and services in competition with rival sellers.[74]

In addition to the aforementioned “characteristics,” problems in digital markets also allegedly arise from failures inherent to antitrust enforcement:

In light of this, mounting criticism against current competition policy allege that lax antitrust enforcement, flawed judicial rules that reflect unsound economic theories or unsupported empirical claims, and the limited effectiveness of the antitrust toolkit have contributed to a significant increase in concentration in digital markets. Furthermore, antitrust litigation and enforcement are deemed to be too protracted and expensive, causing ambiguity, draining resources, and privileging incumbents. Despite the Department of Justice’s Antitrust Division (DOJ) ongoing reviewing of whether and how certain online platforms have achieved market power and are engaging in anticompetitive practices and the Federal Trade Commission’s (FTC) launching of an ex post evaluation of BigTech acquisitions, there is strong skepticism and criticism surrounding the efficacy of antitrust investigations. Too little, too late.[75]

Proponents argue that DCRs could prevent or rapidly address these problems. Some of the proposed reforms are not actually labeled as “regulations,” but rather as “competition-law reforms.” Most, however, are sector-specific (“digital markets”) and include specific ex-ante rules and duties (with prescribed penalties in the case of breach). Also, their application would not be based on the consumer-welfare effects of the regulated conduct.[76] Therefore, for the purposes of this paper, these initiatives will also be considered ex-ante regulation.[77]

In general, the proposed regulations would introduce prohibitions and restrictions on certain practices, such as so-called “self-preferencing” or the use of third-party data, and special duties, such as “interoperability” and data sharing by digital platforms with “considerable economic power” (or “gatekeepers”).[78] Some also give competition agencies or new regulators the ability to impose specific remedies.[79]

A. Market Failure in Digital Markets

According to economic theory and long-tested economic principles, ex-ante regulation is justified only in the presence of “market failures.”[80] A market failure is “a situation where the private market fails to produce the optimal level of a particular good,”[81] or as former U.S. Supreme Court Justice Stephen Breyer put it, “an alleged inability of the marketplace to deal with particular structural problems.”[82] The four market failures most commonly accepted in the economic literature are information problems, externalities, natural monopolies, and public goods.[83]

Of course, other rationales have been put forward in the political debate surrounding DCRs (distributive concerns; “fairness,” as in the case of the DMA; central planning; human rights). Nonetheless, mainstream policy discussion and regulatory best practices have long required evidence that a market is not working properly in order to justify extraordinary interventions.[84] As Thom Lambert points out:

[B]ecause the point of market failure-correcting government interventions is to enhance social welfare, such interventions are not justified if they would themselves create losses greater than those occasioned by the market failures they are aimed at correcting. Wise policy, therefore, requires consideration of the ways in which government interventions may reduce welfare.[85]

Tellingly, the DMA—the “original blueprint”[86] for DCRs—does not mention the term “market failure” or argue that any of the above-mentioned market failures are present in digital markets.[87] Likewise, Brazilian Bill No. 2768 follows suit and fails to explain which market failure would justify the regulation of digital markets in Brazil.

Instead, DCR proposals tend to mention “characteristics” of digital markets that (in some cases) lead to highly concentrated markets and a lack of market contestability that could be labelled as “quasi-market failures.” Those “quasi-market failures” allegedly make entry and surpassing incumbent market leaders difficult, even if they do not actually impede competition. As Colangelo has described it: “strong economies of scale, extreme indirect network effects, remarkable economies of scope due the role of data as a critical input, and conglomerate effects, along with consumers’ behavioural biases and single-homing tendencies.”[88]

The DMA recitals mention, e.g., that:

…core platform services feature a number of characteristics that can be exploited by the undertakings providing them. An example of such characteristics of core platform services is extreme scale economies, which often result from nearly zero marginal costs to add business users or end users. Other such characteristics of core platform services are very strong network effects, an ability to connect many business users with many end users through the multisidedness of these services, a significant degree of dependence of both business users and end users, lock-in effects, a lack of multi-homing for the same purpose by end users, vertical integration, and data driven-advantages. All these characteristics, combined with unfair practices by undertakings providing the core platform services, can have the effect of substantially undermining the contestability of the core platform services, as well as impacting the fairness of the commercial relationship between undertakings providing such services and their business users and end users.[89]

These “characteristics” are not alleged to be market failures, as they do not impede competition or make it undesirable. That is why Justice Breyer’s emphasis on “structural” problems is important.[90] Not every condition that characterizes a market as failing to precisely fit the model of perfect competition is necessarily relevant for the purposes of public policy. The high cost of regulatory interventions demands that we intervene only to address those conditions that have a considerable impact, and only where they would remain in place over the long term in the absence of intervention.

To be sure, it is possible to find some level of informational asymmetry or (positive) externalities in digital markets, but not to such degree that they would fail to be addressed by market competition (actual or potential) or by such general rules as data protection or consumer protection. It is also possible to find digital markets where a firm has some degree of monopoly power. In most digital markets, however, there is little to no evidence of significant market power, nor of a tendency toward “natural monopoly” (that is, a case where it is not possible or desirable to replace the monopolist).[91]

Digital markets do not present a “new type” of market power. As Herbert Hovenkamp has explained:

There is little empirical support for the proposition that digital-platform markets are winner-take-all. Rather, the landscape for digital markets resembles the one for markets generally: some of them are more conducive to single-firm dominance than others. Some resemble markets with a dominant firm plus a competitive fringe. Others enjoy competition among more evenly sized rivals. (…)

For digital platforms, several factors point in different directions, making categorical treatment impossible. On the one hand, network effects can be a substantial entry barrier. Particularly in markets where significant product differentiation is impossible, a large base on one or both sides of a platform, which places newcomers at a significant disadvantage, can be a powerful entry deterrent. The same thing can be said of accumulation of large amounts of consumer data or large intellectual property portfolios. Offsetting these barriers are low consumer-switching costs and widespread multi-homing, which are common in platform markets; these factors, in contrast, encourage new entry. Product differentiation is also an avenue for new entry, as is high technological turnover.[92] (emphasis added).

In 2001, in the second edition of his “Antitrust Law” treatise, Richard Posner explained, in reference to what was then called the “new economy”, that:

Because of the extraordinary rate of innovation not only in computer software but also in communications technology, the extraordinary amount of capital available worldwide for investment in new enterprises, and the rapidity with which new networks that are primarily electronic can be put into service, the networks that have emerged in the new economy do not seem particularly secure against competition. We have seen all manner of firms rise and fall in this industry-falling sometimes from what had seemed a secure monopoly position. The gale of creative destruction that Schumpeter described, in which a sequence of temporary monopolies operates to maximize innovation that confers social benefits far in excess of the social costs of the short-lived monopoly prices that the process also gives rise to, may be the reality of the new economy. This is especially likely because quality competition tends to dominate price competition in the software industry. The quality-adjusted price of software has fallen steadily simply because quality improvements have vastly outrun price increases.[93]

In the same vein, Thom Lambert has analyzed several common indicators of market power and concluded that (at least, in general) we cannot assume that there is a general trend toward monopoly in digital markets. He finds that consumer prices on most platforms do not appear to be rising (in fact, most of their services are offered at zero monetary cost). There is also little evidence that advertising prices are rising.[94] Regarding the quality of digital products and services, Lambert finds that:

GAFA firms are hardly fat monopolists enjoying the quiet life that results from a lack of competition. They are better characterized as relentless innovators that continually improve their offerings for the benefit of consumers.[95]

Jonathan Barnett observes that “while digital markets tend to converge on ‘winner-take-most’ outcomes, that is often not the end of the story.”[96] He offers several examples of market incumbents that have lost their market-leadership position, or that have at the least been forced to confront the menace of innovative entrants:

In the social networking market, Facebook has faced stiff competition since 2019 from TikTok, which by some recent estimates (as of 2022) accounts for 20% of the global social-media networking market (as compared to 46% for Facebook and Instagram). In the office productivity software market, Microsoft’s long-standing leadership has been contested recently by Google’s Workspace applications suite, which by one estimate as of 2022 accounted for almost half of the global market. In the mobile device communications market, initial leaders such as Motorola, Nokia, Ericsson, and Blackberry enjoyed large market shares in the 1990s—in 1999, Nokia and Motorola accounted for 27% and 17% of the global market31—but were rapidly dislodged in the mid-2000s by Apple’s iPhone and Android-based devices produced by Samsung and other firms. In the online shopping market, Amazon has faced robust competition from Walmart and, in apparel, now faces robust competition from Shein and Temu. In the search market, Google has always faced competition in “vertical” search markets from leading providers in those segments, such as Expedia and Booking.com in travel, Zillow and Redfin in real estate, and Yahoo!, Bloomberg and Reuters in finance.[97]

In a book that examined digital platforms through the lens of natural-monopoly theory,[98] Francesco Ducci focused on three case studies of “big” digital platforms, and only in the case of general or horizontal search (Google) did he find features of a natural monopoly.[99] His findings are debatable, but even assuming that they are correct, Ducci also warns that “a real-world regulator for horizontal search is likely to face a number of insurmountable limitations and challenges, especially in technologically fast and fluid industries.”[100]

In the case of e-commerce platforms like Amazon, Ducci concluded that “(d)espite the fact that network externalities give rise to large e-commerce marketplaces and the physical infrastructure of online shopping for logistics and delivery is characterized by some scale economies, neither effect is strong enough to give rise to a natural monopoly.”[101]

Finally, in the case of ride-hailing platforms (like Uber), Ducci concludes that the evidence is ambiguous:

Ride-hailing platforms are not necessarily natural monopolies. Fixed costs of entry are not very high, and the positive effects of network externalities are likely to taper off after a certain critical mass is reached. Especially in larger cities, these factors may leave room for competition between networks, which can create a number of positive effects on prices, fees, and quality of the services. The technological features of ride-hailing platform can, however, increase the chances of natural monopolies compared to the traditional taxi dispatch systems, by pushing the frontier of efficient scale toward larger networks and geographic areas.[102]

It is worth discussing the “network effects” argument in digital markets. If a firm moves fast and gets the first customers, network-effects theory holds that the presence of those customers would, in turn, attract still more customers and sellers, who will attract even more. This growth would result, allegedly, in a single firm monopolizing the market. But as David Evans and Richard Schmalensee point out, that result is far from inevitable:

Systematic research on online platforms by several authors, including one of us, shows considerable churn in leadership for online platforms over periods shorter than a decade. Then there is the collection of dead or withered platforms that dot this sector, including Blackberry and Windows in smartphone operating systems, AOL in messaging, Orkut in social networking, and Yahoo in mass online media.[103]

In the same vein, Christopher Yoo explains that:

Despite attempts by recent reports to equate network effects with market failure, an examination of both the theoretical and empirical literature make clear that the relationship between network effects and market failure is more complex. Indeed, history is littered with once-leading digital companies that can attest to the reality that network effects are not sufficient by themselves to protect the dominance of early-market leaders. Considerations such as variation in the value of connections and the existence of countervailing externalities make the relationship between network effects and market failure ambiguous. In addition, network-effects based theories depend on the satisfaction of structural preconditions that must be shown in individual cases. Even when those preconditions are met, alternative institutional solutions exist that can mitigate or even dissipate the impact of network effects.[104]

Even those open to ex-ante regulations for digital markets acknowledge that there are considerable challenges, especially if the intent is to regulate digital platforms like “essential facilities.” Jean Tirole, for instance, acknowledges that it is possible to regulate a “stable essential facility,” but that the fast-moving nature of digital markets makes it difficult for regulators to identify them, collect the appropriate data, and promulgate and enforce the appropriate rules.[105]

This is probably why the European Commission’s Regulatory Scrutiny Board—an independent body within the Commission that advises commissioners and evaluates the impact of proposed regulations—has, according to one report, “expressed concern about the lack of evidence supporting the DMA’s underlying assumptions concerning the purported negative effects of certain platform practices.”[106]

It is also important to consider that most proposed DCRs are designed as a single body of rules that would cover all “digital markets,” as if such markets were homogeneous. But as the International Center for Law & Economics (ICLE) explained at a 2022 meeting of the OECD’s Competition Committee:

The digital economy spans from online retail to real estate listings to concert tickets to travel booking to social media. Consequently, there is not a universally defined digital market. While digital markets are dynamic and evolving, as many markets are, digital market innovations in some segments are not as groundbreaking as they once were. In a similar manner, prominent digital market characteristics are not unique to digital markets. Print newspapers are multi-sided markets. Broadcast radio is zero-price.[107] (emphasis added)

Those differences are important enough to believe that the broad regulation of “digital markets” is misguided. As Herbert Hovenkamp has explained:

… broad regulation is ill-suited for digital platforms because they are so disparate…. They sell different products, albeit with some overlap, and only some of these products are digital. They deal with customers and diverse sets of third parties in different ways. What they have in common is that they are very large and that a sizeable portion of their operating technology is digital.[108] (emphasis added)

Platforms like Google Search, Amazon’s marketplace, Uber, and Spotify are so different from one another that it is highly unlikely that any single body of regulation could be both necessary and reasonable for all of those markets. Some of these markets have market leaders with a significant market share and few competitors; some are more fragmented and have more competitors with evenly distributed market shares. Some of them have strong “network effects” (payment systems), and some have milder “network effects” (streaming of video and audio). Some rely on extremely specific user data in order to deliver a valuable service, while others can work with more general data.

These idiosyncrasies mean that some rules will be useless in some markets, but will be enforced nonetheless, and generate compliance costs that could be passed on to consumers. Think of, e.g., data-sharing mandates that require the compulsory transfer of information to other platforms or “business users,” even if it is not useful to them. In other cases, the rules will not be useless, because they will affect the market where they are applied (i.e., they will benefit some business users and some consumers), but could have unintended consequences (i.e., harm to consumers in general). As Lazar Radic has pointed out:

There are a range of risks and possible unintended consequences associated with the DMA, such as the privacy dangers of sideloading and interoperability mandates; worsening product quality as a result of blanket bans on self-preferencing; decreased innovation; obstruction of the rule of law; and double and even triple jeopardy because of the overlaps between the DMA and EU competition rules.[109]

It is also important to consider that, even if they were warranted, DCRs create barriers to entry, regulatory risks, and restrictions on the monetization of business assets—all of which could make the affected markets less attractive, and thereby deter market entry. There is already anecdotal evidence that the DMA is having such consequences. As Alba Ribera has explained:

One of the greatest examples of the dichotomy that arises between the different types of consequences that can be generated by the regulatory capture of digital ecosystems can be found in Meta’s recent decision not to launch its new service Threads in the European Economic Space. To the extent that its service could be interpreted as falling within the definition of a “core platform service” belonging to the category of “online social networks” (listed by the DMA), Meta decided to refrain from entering the European market, due to the disproportionate burden that the demanding obligations imposed by the DMA would entail. It should be noted that Threads is still an entrant service in the online social networking market, in contrast to the predominant position occupied by X (previously known as Twitter). In this way, we observe that the categorization as a core platform service unifies and eliminates all the nuances that free competition entails with respect to incoming services in the markets.[110]

It also should be noted that DCRs would likely have a greater impact in developing economies where digital markets are not yet mature. More developed economies might, indeed, be able to afford any inefficiencies that stem from DCRs.[111]

For instance, regulations could make online goods and services more expensive. Facebook is already experimenting with a new business model in which consumers would see no advertising (and thus, there would be no data collection—or less data collection for marketing purposes, at least) but would instead have to pay to subscribe.[112] If this model were to become generalized, it may be good for some users. Privacy-minded American and European consumers would probably be able to afford such subscriptions. But the same could hardly be said for Latin American consumers—who, on average, earn less than a third the income of their European counterparts.[113]

From the perspective of the companies that own and operate digital platforms and services, if DMA-like regulations make emerging markets less profitable, the companies could simply leave or choose not to enter such markets. As Geoffrey Manne and Dirk Auer have explained, “to regulate competition, you first need to attract competition.”[114]

While empirical research on the impact of DCRs is scarce, a recent paper by Ke Rong, D. Daniel Sokol, Di Zhou, & Feng Zhu[115] analyzing the impact of China’s “Anti-Monopoly Guidelines for the Platform Economy”[116] finds that:

This regulation has made the investment climate less attractive for startups, evidenced by a 26.73% decrease in the monthly number of investments and an 18.72% drop in newly established companies in affected industries. Contrary to expectations, the Platform Guidelines have not fostered greater competition.[117]

The recently published “The Future of European Competitiveness” report[118] (commonly known as the “Draghi Report”) underscores the impact that regulation can have on competitiveness, growth, and innovation. While the report appears to endorse the DMA, it does acknowledge that regulations like the GDPR have had a negative impact, and cautions against the administrative burden that the DMA could impose:

…while the ambitions of the EU’s GDPR and AI Act are commendable, their complexity and risk of overlaps and inconsistencies can undermine developments in the field of AI by EU industry actors. (…) This calls for developing simplified rules and enforcing harmonised implementation of the GDPR in the Member States, while removing regulatory overlaps with the AI Act (…). This would ensure that EU companies are not penalised in the development and adoption of frontier AI. With the DMA and DSA, the EU has also adopted pioneering legislation to ensure that digital competition and fair online market practices are enforced. This aims to protect smaller innovators and players from the dominance of Very Large Online Platforms, and to safeguard citizens, creators and IP holders from lack of accountability by the responsible platforms. While it is early to fully gauge the impact of these landmarks regulations, their implementation must avoid producing administrative and compliance burdens and legal uncertainties as the GDPR’s and must be enforced within shorter timeframes and more stringent processes for compliance provisions.[119]

Precisely because there is a significant growth and productivity gap between Latin America and other developed countries—greater even than that between Europe and the United States—Latin America cannot afford to implement regulations that could hinder its competitiveness. The Draghi Report points out that:

EU economic growth has been persistently slower than in the US over the past two decades, while China has been rapidly catching up. The EU-US gap in the level of GDP at 2015 prices has gradually widened from slightly more than 15% in 2002 to 30% in 2023, while on a purchasing power parity (PPP) basis a gap of 12% has emerged.[120]

But Latin American countries’ GDP gap with the United States is even larger and, in some cases, growing (see Figure 1). The primary culprit behind this gap is productivity, which is only about half that of the United States.[121]

In sum, there are several reasons to believe that no solid rationale exists to regulate Latin American digital markets: not any of them specifically, and not in general. Moreover, there are good reasons to believe that such regulations would do more harm than good for competition and consumers.

FIGURE 1: Per-Capita GDP, US and Select Latin American Countries, 1960-2023 (Constant 2015 US$)

SOURCE: World Bank, OECD[122]

B. Costs and Benefits of Regulation Versus Antitrust

Those reports that do recommend adoption of DCRs often highlight the alleged shortcomings of traditional antitrust law—i.e., that it is “too slow” or “too hard to win” for plaintiffs—as the primary justification to pursue ex-ante regulation. As Giuseppe Colangelo has explained:

… the regulatory approaches recently advanced do not seem to reflect the distinctive features of digital markets, but rather the need to design enforcement short-cuts to cope with growing concerns that antitrust law is unable to address potential anticompetitive practices by large online platforms. Hence, in most of the mentioned reports, the revival of regulation seems supported more by an alleged antitrust enforcement failure rather than true a market failure. The goal is indeed to fill alleged enforcement gaps in the current antitrust rules by introducing tools aimed at lowering legal standards and evidentiary burdens in order to address anti-competitive practices that standard antitrust analysis would struggle to tackle.[123]

This may be a reasonable cause for regulation (although an “institutional failure,” rather than a market failure). Few would disagree that antitrust cases should be faster. Competition agencies and courts, generally speaking, should have more resources and more expeditious procedures to adjudicate cases before market structures and dynamics change and render any potential remedy useless.[124] But the fact that cases are “hard to win” is not a valid reason. Indeed, this is arguably a feature, and not a bug, of antitrust law, especially in the context of “abuse of dominance” or “monopolization” cases.[125]

In replacing standard antitrust-law concepts like “relevant markets,” “monopoly power,” “dominant position,” and “consumer harm” with concepts like “core platforms services” and “gatekeepers,” DCRs provide procedural shortcuts to condemn some business models and practices. While these shortcuts may reduce administrative costs, these putative benefits are easily overstated. Only a few weeks after the DMA entered into force, and only a week after compliance workshops held with the newly designated “gatekeepers”, the European Commission announced that it was initiating noncompliance proceedings against three companies because their compliance proposals fell “short of effective compliance” with the new DMA rules.[126] If gatekeepers decide to appeal the seemingly inevitable noncompliance decisions, these proceedings could take months or even years of litigation before they are resolved.

Perhaps more importantly, these procedural shortcuts have a cost: they amount to the per-se prohibition of business models and practices that usually provide benefits for consumers, such as lower prices and a safer user experience. These costs are compounded by the fact that, as mentioned,[127] the language of DCRs is often overly broad. As Lazar Radic, Geoffrey Manne, and Dirk Auer have explained:

… digital markets tend to be very different from those traditionally subject to price regulation and access regimes. And even in those industries, price regulation and access regimes raise many difficulties, such as identifying appropriate price/cost ratios and fleshing out the nonprice aspects of the goods/services or regulated firms.

Those difficulties are compounded in the fast-moving digital space, where innovation cycles are faster, and where yesterday’s prices and nonprice factors may no longer be relevant today.[128]

To pick one such obligation, the application of “common-carrier” laws to digital platforms would not have a positive impact for consumers, in that “by questioning the core of digital platform business models and affecting their governance design, these interventions entrust public authorities with mammoth tasks that could ultimately jeopardize the profitability of app-store ecosystems.”[129] Apple’s App Store is one such example. As Randal Picker explained:

Would Apple have an obligation to carry—here meaning pre-install—any app requesting that? I hope that merely to state the idea is to make clear why that would be an outcome that would be physically impossible and would create a terrible consumer experience. No blocking of apps found to contain malware, no limits on pornography, no limits on apps that help that help people violate the law or evade law enforcement. Part of what consumers want from app stores (or presumably any store, online or offline) is some assurance of quality and filtering for safety and other important social values. And all of the problems that consumers experience in searching through the app stores would come directly to their devices. So don’t pre-install apps, but pre-install links, say an incredibly long browser ballot for all apps on your device. Again, self-refuting I hope.[130] (emphasis added).

The ban on “self-preferencing” would also have adverse effects for consumers. As Thom Lambert noted in a piece critical of the proposed American Innovation and Choice Online Act (AICOA) in the United States,[131] the pre-installation of services like the iPhone’s Siri involves “self-preferencing” or discrimination among business users of Apple’s iOS platform. But consumers value having a device that is ready to be used. Consumers also like the fact that Google’s search results for a restaurant or a museum offer directions to the place, which implicates the self-preferencing of Google Maps.[132],[133]

DCRs’ rigidity comes, at least partially, from the fact that regulators act with limited information (because they design the rules to be applied to an activity before that activity takes place). In the case of antitrust laws, agencies and courts apply the law to activities whose effects can be assessed, if imperfectly. In that sense, antitrust laws are more precise than DCRs, which rest on presumptions that certain categories of conduct are generally harmful:

… in real economies with positive transactions and information costs, the performance of the two systems will differ. Because ex-post liability systems evaluate the activities of firms later in time after information on the effects of an activity has been revealed, the information advantage favors the use of ex-post liability systems when there is heterogeneity that is known to the regulated firms (but not the regulator) ex-ante.[134] (emphasis added)

Moreover, antitrust laws are more flexible than ex-ante regulation and more likely to be appropriate for a broader range of markets and business models.[135] As Richard Posner illustrates, while per-se rules are generally simpler and cheaper to enforce, they tend to be either underinclusive or overinclusive. When the application of such rules is determined by facts like a platform’s size or numbers of users, which are disconnected from its goals, they are “especially apt to fail.”[136]

As Geoffrey Manne has pointed out, the “common-law approach” of antitrust can be a form of error cost avoidance, leading to less Type I errors than is the case with regulation.[137] Since the “specification of detailed, ex-ante rules will ensure costly, erroneous outcomes where conduct is not clearly harmful, our understanding of its effects is indeterminate, or technological change alters either the effects of certain conduct or our understanding of it.”[138] Moreover, a case-by-case approach “is readily amenable to Bayesian updating, and as more information is gleaned (both through experience and the development of economic science), the common law approach incorporates it into the analysis.”[139]

It is important to note here that most of the practices banned by the DMA and similar regulations (and proposals) around the world are vertical restraints (contracts or other type of restraints between economic agents at different levels of the production chain), that therefore warrant a “rule-of-reason” analysis. As Jonathan Barnett explains:

The predominance of the rule of reason concerning these practices rests on a solid evidentiary foundation. Scholarship by economists and legal academics has shown that vertical restraints typically fall into the category of difficult-to-diagnose, lower to moderate-risk practices identified by Judge Taft in 1898. The most comprehensive and widely-cited review of the literature finds that, while there  is variation in theoretical models of the competitive effects of tying practices, “the empirical evidence concerning the effects of vertical restraints on consumer well-being is surprisingly consistent … when manufacturers choose to impose such restraints, not only do they make themselves better off but they also typically allow consumers to benefit from higher quality products and better service provision.” Given the complexity involved in diagnosing the competitive effects of vertical restraints, coupled with a body of evidence indicating that these practices typically benefit consumers in real-world markets, the courts’ and agencies’ fact-intensive, case-specific approach is a prudent course of action.[140] (citations omitted, italics in the original)

Even the 2019 “Cremer Report,”[141] which concluded that there are aspects of digital markets where “regulation might be appropriate,” acknowledged the relative superiority of antitrust laws to deal with any possible competition problem in digital markets:

Competition law can and should, for the foreseeable future, continue to accompany and guide the evolution of the platform economy. Its case law method is particularly well suited for the current state of evolution of the platform economy: a still experimental stage, where the efficiencies of different forms of organisation are not yet well understood and our knowledge and understanding still needs to evolve step by step.[142]

In Europe and the United States, the myriad cases initiated indicate that the “antitrust toolkit” is sufficient to address possible competition concerns in digital markets. As Giuseppe Colangelo explains,[143] the obligations introduced by the DMA appear to be based on past and current antitrust investigations. For example, the DMA prohibition on combining personal data across platforms appears to have been inspired by the Bundeskartellamt case against Facebook;[144] the prohibition on most-favored nation (MFN) clauses resembles the e-book case against Amazon.[145] The aforementioned rule on self-preferencing appears to have been inspired by the Google Shopping case.[146] Radic, Manne, and Auer also note that:

… the DMA covers conduct identical to that which the Commission has pursued under EU competition law. For instance, Google Shopping was a self-preferencing case that would fall under Article 6(5) of the DMA.130 Cases AT.40462 and AT.40703, which related to Amazon’s use of nonpublic trader data when competing on the Amazon Marketplace and its supposed bias when awarding the “Buy Box,” would now be caught by Articles 6(2) and 6(5) of the DMA.131 Apple’s anti-steering provisions—for which the Commission issued a fine mere days before the DMA’s entry into force—would be prohibited by Article 5(4) of the DMA.[147]

The fact that these cases have not been summarily dismissed, and that some cases have been adjudicated in the European Commission’s favor, tells us that the substantive rules and evidentiary burden of EU antitrust laws can be applied to digital markets. Therefore, it would be wise for Latin America to, at the least, wait for the outcome of the pending antitrust cases in Europe and the United States before rushing to adopt DCRs covering similar conduct. That would grant time to observe and analyze the results of the DMA’s “natural experiment” before opting to regulate digital markets.[148]

Another relative advantage of antitrust is that the risk is low that it would encourage “rent seeking.” Indeed, in a paper assessing the relative benefits and costs (and possible complementarity) of antitrust and regulation in network industries, Dennis Carlton and Randall Picker conclude that antitrust laws are less susceptible to “regulatory capture” because regulation to affect special interests more directly.[149] Jean Tirole also underscores that regulation creates concerns about regulatory capture.[150]

From the perspective of the rule of law, it is also important to point out that DCRs tend to grant enforcers a great degree of discretion, which in turn fosters incentives for arbitrariness and abuse. This, of course, depends on how a specific piece of regulation is drafted and implemented. Policymakers should be cautious about following the DMA template. As Pablo Ibañez Colomo points out, “the Commission is not subject to the boundaries defined over the years in the case law. [The DMA] expands the leeway through very choice of goals and benchmarks, which are inherently broad and vague.”[151] The European regulation does not contemplate clear and specific requirements that trigger its application, but rather:

… identifies a number of factors that the Commission is entitled to consider in its analysis, such as the size of the undertaking, the features of the activity (for instance, whether there are network effects or data-driven advantages and whether there is customer lock-in). However, nowhere does Article 3(8) provide that all factors be present, or that they be weighed against one another. It is explicit about the fact that it may take into account ‘some or all’ of them.[152]

To summarize, despite the alleged “technical challenges” that digital markets present to the methodology and procedures of antitrust, it remains much better suited to address any possible competition issues than regulation. As Richard Posner concluded more than 20 years ago, “antitrust doctrine is sufficiently supple, and sufficiently informed by economic theory, to cope effectively with the distinctive-seeming antitrust problems that the new economy presents.”[153]

C. Is Latin American Competition Law up to the Task?

The reality of antitrust enforcement in Latin America suggests an even more cautious approach. While the legal toolkit available to Latin American competition agencies is more or less the same as it is in Europe and the United States (that is, without approving DCRs or specific provisions for digital markets within competition law), such agencies’ experience and budgets is significantly more modest.

According to a 2019 OECD report, “competition authorities in Latin America and the Caribbean have dealt with very few enforcement cases involving digital platforms to date.”[154] A more recent report from Juan David Gutiérrez and Manuel Abarca confirms that finding:

Only Argentina, Brazil, Chile, Mexico, and Uruguay have conducted and finalised antitrust investigations in cases that involve digital markets. In other words, between 2015 and 2022, only 22 per cent of LAC’s jurisdictions studied in this research (five out of 23) adopted definitive decisions in antitrust cases in digital markets.[155]

Andrés Fuchs and Nader Mufdi similarly note that Latin American agencies have scant experience with antitrust enforcement in digital markets:

… the list of cases included in a recent report published by the Free Competition Program of the Pontificia Universidad Católica de Chile illustrates in a good way the differences that exist in number and content among cases that have taken place in Europe and the United States, and the LAC region as a whole. Certainly, beyond a couple of procedures carried out by the Conselho Administrativo de Defesa Econômica (CADE) against Google, in Latin America it has not been possible to find a case that challenges the large platforms that capture the attention of the authorities of the United States and Europe.

In short, if observed as a whole, the Latin American reality is still far from the major cases that draw the attention of the institutions, media and academia of the countries that have traditionally taken the lead in competition law. Although it is possible to observe the existence of a relevant number of cases that would include some digital component, the truth is that, both in quantity and relevance, the cases that we observe in Latin America differ considerably from the legal battles that today take place in the developed world. Certainly, the differences that persist in the cases of Latin America compared to those that have taken place in Europe and the United States are consistent with the lag experienced by digital markets in this part of the world compared to the economies in which, at date, its proliferation has been more significant.[156]

Of course, the relative scarcity of antitrust enforcement in digital markets is not necessarily negative; fewer cases initiated does not necessarily mean there has been underenforcement. It could very well be that there is not enough merit to initiate more antitrust cases in digital markets (i.e., that harmful behavior is being deterred or precluded by competition on the market), or that Latin American authorities can simply stand back and reap the benefits of enforcement initiatives elsewhere.

As Fuchs and Mufdi note, the differences in enforcement could be explained by the “lag” in these markets. Latin America does not have (perhaps apart from Mercado Libre, the Colombian delivery app Rappi, and some important actors in the digital-payments sector) many notable digital platforms that could plausibly initiate antitrust conflicts with “Big Tech” companies. It also does not have many major “complementors” to such companies (such as Yelp or Spotify) that could compete with them in their “niche” markets.

Another hypothesis is that Latin American agencies are using their (relatively scarce) resources efficiently and prioritizing the prosecution of cases in markets where the payoff could be better. Agencies already constrained by limited resources should prioritize that conduct that most harms consumers (such as cartels) and markets that could be “growth multipliers” like transportation and logistics. As the World Bank has emphasized:[157]

While there are many ways to promote competition, tackling cartels can yield immediate and tangible benefits, especially for poor households, with little risks of unintended consequences for the business environment. Worldwide, much of the recent policy dialogue on competition issues has focused on information technology, especially social networks and online commerce platforms, as well as the broader rise of global corporate market power. Policies designed to address the potential anticompetitive impacts of these developments are complex and risk undermining the business environment by weakening incentives for firms to innovate and grow. By contrast, cartels can be identified and eliminated, or prevented from forming, through relatively simple, well-established policies and enforcement mechanisms.

Despite the relatively small number of cases brought by competition agencies in Latin America, there are a few cases that allow us to conclude that, as in the EU, antitrust law can be used to address types of conduct covered by DCRs.

In Argentina, for instance, the National Commission for the Defense of Competition (CNDC, after its Spanish acronym) launched an investigation and issued interim measures ordering WhatsApp Inc. not to update its terms and conditions in ways that would allow sharing data collected through that platform with the other integrated platforms similarly owned by Meta—notably, Facebook and Instagram.[158] According to the decision, which applies “standard” Argentinian competition law, such conduct is an “unreasonable collection of data” that would be an “exploitative abuse of a dominant position” by Meta. The decision is not only similar to the Bundeskartellamt decision against Meta’s Facebook mentioned in Section 2B, but it also cites that decision. It is also similar to the data-sharing prohibition contained in Article 5.2(c) of the DMA.

The Brazilian Administrative Council for Economic Defense (CADE, after its Portuguese acronym) has been the most active agency in the region.[159] It initiated cases regarding the MFN clauses applied by online travel agencies (OTA) like Expedia do Brasil, Decolar.com and Booking.com.[160] This move resembled similar cases initiated in the European Union, and the prohibition of MFN clauses contained in Article 5.3 of the DMA. Brazil has also seen a “self-preferencing” case in which the e-commerce media group Informacao e Tecnologia Ltda. (owner of the price-comparison websites Buscapé and Bondfaro) alleged that Google was abusing its dominant position by favoring its own process-comparison service with a privileged position in search results.[161] Again, this was another case that resembled both a prior European competition-law case and a prohibition contained in the DMA and most DCRs.

While both cases were dismissed in the end, they were not dismissed on grounds that the facts in the case were outside the scope of competition law, or because it was exceedingly difficult to analyze those. They were dropped because the parties reached a settlement in the first case and because CADE determined that there were efficient alternatives to Google’s products and data in the second.[162] As mentioned, nothing in the substance or the procedural aspects of Latin American competition law should lead anyone to conclude that antitrust law cannot be used to address any potentially anticompetitive conduct by digital platforms.

Another important consideration when analyzing proposed DCRs in Latin America is the institutional constraints that Latin American competition agencies already face. In those jurisdictions that have approved DCRs, it has been necessary to create new offices or hire significantly more personnel to enforce these additional rules.[163] Agencies in Latin America already face significant budgetary and human-capital constraints to discharge their existing duties. As explained by a recent World Bank report:

LAC competition agencies are understaffed and underfunded compared to peers from other regions (figure 2.11). The average competition budget is lower in LAC than the OECD and significantly affected by a few larger jurisdictions in LAC with a particularly high competition budget.51 While budgets alone do not provide a flawless gauge of the region’s antitrust activity and agencies’ ideal size in staffing and budget is justifiably tied to the size of the local industry, these budget and staffing data offer insights into agencies’ capacity and positioning within governmental policy priorities.[164]

For example, INDECOPI, the Peruvian competition agency, has just 46 staff dedicated to enforcing antitrust laws (including merger control, market studies, and anticompetitive conduct). This amounts to only 1.4 staff per million inhabitants, significantly smaller than the OECD average of nine staff per million. The Latin American average is four staff per million inhabitants, which is more than Peru but still less than half the OECD average.[165]

Beyond the institutional constraints, Latin American competition agencies should probably focus on more humble priorities than “tame huge global digital platforms.” A recent World Bank report posits that competition may be the missing ingredient for growth in the region. It finds that competition is less vigorous in Latin American markets than in peer nations in other regions, with fewer ex-officio investigations, less use of leniency programs, and fewer dawn raids. This suggests that many cartels remain undetected.[166]

It would be wise to ensure that Latin American competition agencies have sufficient budgets and human capital to fulfill their existing mission before even considering assigning them new tasks.

III. Reforms to Address the Real Bottlenecks in Latin American Digital Markets

While digital markets in Latin America appear to be “reasonably competitive,” as noted in Section 1B, the region does not need to be complacent on this front. In line with the shortcomings and barriers identified in Section IA, much needs to be done to increase the positive impact that digital economies could have on the region’s welfare, productivity, and growth.

A 2019 OECD report about the digital transformation of Latin America lists a number of key policy areas that the countries in the region should consider:

…in order to create and maintain a healthy digital environment that promotes diversity and helps seize the benefits of the digital transformation, including productivity growth. These include: enhancing access to broadband networks to reduce digital divides, strengthening the diffusion of digital technologies, fostering healthy business dynamism and efficient resource reallocation to enable the growth of digitally intensive firms and SMEs, supporting the development of skills and finally, creating new opportunities for trade.[167] (emphasis in the original)

Among these potential reforms, the most urgent—especially considering the implementation time it would require—is to reform telecommunications regulation in order to promote more investment in infrastructure and universal access. While the number of people in Latin America with mobile-internet access has nearly doubled in recent years, significant gaps in coverage and usage remain. According to GSMA Intelligence:

Some 190 million people across the region (of the 230 million unconnected), in both urban and rural areas, live in locations with mobile internet network coverage but do not access the internet. Despite a continued decline in service prices, this usage gap remains due to a lack of affordability. Low income levels in some population segments are an important factor, but regressive, short-termist tax policies also artificially raise the price of internet connectivity for low-income populations.[168]

The World Bank Latin American Economic Outlook 2020 report also underscored that:

Access to broadband and connection quality remain uneven among and within LAC countries. There are several initiatives to improve connectivity, primarily in broadband, along with specific initiatives to facilitate infrastructure deployment by easing the rights of way.[169]

The report mentions that “regulatory frameworks must promote competition and investment arising from the increasing convergence of networks and services in the digital economy.”[170] But it also emphasizes that “a stable and predictable regulatory framework fosters long?term investment in communication infrastructure and digital innovation”[171] and that:

In a sector where return on investment is often measured in decades, guaranteeing regulatory stability, transparency and legal certainty helps firms prepare business plans and ultimately facilitates investment.[172]

The report also detailed several strategies to expand internet access and use for disadvantaged populations, both on the demand and supply side, which could be replicated in other countries:

On the demand side, Latin Americans have difficulty accessing the Internet, mostly owing to the cost of ICT devices and provider fees. Income inequality exacerbates affordability barriers, as low?income households tend to have a much lower income than the average (OECD/IDB, 2016). On the supply side, among other barriers, limited telecommunications infrastructure, tax burdens, inefficiencies in service provision, price distortions due to lack of competition and adequate regulation limit the reach of ICT services for a significant share of the population (West, 2015).

Supply?side initiatives that have increased Internet affordability include enhanced competition, effective broadband expansion strategies, efficient spectrum allocation and infrastructure?sharing models (A4AI, 2019). Peru’s Internet para Todos (Internet for all) aims to bring 4G mobile Internet access to 6 million people in more than 30 000 rural areas by the end of 2021. This partnership between Telefónica, Facebook, IDB (Inter?American Development Bank) Invest and CAF – Development Bank of Latin America – enables operators to use communication infrastructure to expand coverage in rural areas. Telefónica has 3 130 towers across Peru; Internet para Todos aims to install an additional 866 by 2021. This programme also constitutes a growth opportunity for Telefónica by offering the possibility to test new business models and technologies in new locations and potentially expand the customer base in new markets (MAEUEC, 2020). The long?term goal is to replicate the approach in other LAC countries, where some 100 million still have no Internet access (IDB, 2020).[173]

Another potential barrier to digital markets in Latin America (which often need the support of online-payment solutions) is financial inclusion:

Data from the World Bank shows that 55.1% of the Latin America and Caribbean population over 15 had an account with a financial institution or a mobile-money service provider in 2017. The distribution of account ownership however varies across countries ranging from 30% to over 70% in some countries (see Figure 3 below). In addition to a bank account, having a credit and/or a debit card are also important means to make purchases online. These means of payment remain relatively limited in Latin American and Caribbean countries, suggesting an important link between Fintech market development and access to e-commerce.[174]

Lotitto and Diaz also highlight this shortcoming:

A consistent feature of the marketplace landscape in the LAC region is the prevalence of websites that do not allow users to finalize transactions digitally. Most likely, this reflects gaps in the development and adoption of electronic payments solutions and integration of marketplaces with logistics solutions. These two dimensions are key to fully develop e-commerce ecosystems.[175]

Even more fundamental than improved physical infrastructure are the region’s deficiencies in basic “legal infrastructure” for entrepreneurship (property rights, contract enforcement, a proper rule of law). In his “The Mystery of Capital,” Hernando de Soto contemplated why only the United States has produced a Bill Gates, writing:

Apart from his personal genius, how much of his success is due to his cultural background and his “Protestant ethic”? And how much is due to the legal property system of the United States?

How many software innovations could he have made without patents to protect them? How many deals and long-term projects could he have carried without enforceable contracts? How many risks could he have taken at the beginning without limited liability systems and insurance policies?[176]

If Latin America wants entrepreneurs and creators like Bill Gates, Steve Jobs, Sergey Brin, Larry Page, or Mark Zuckerberg, the region’s governments must start with the essential reforms needed to establish a proper rule of law. The countries of Latin America should reform their judiciary and administrative procedures to protect property rights and enforce contracts effectively. They should create a friendly business environment, with less burdens and red tape, and better public services. Currently, the region is far from that standard. Chile is the best-positioned Latin American country in the World Bank’s “Ease of Doing Business” survey, ranking in 59th place.[177]

According to the OECD’s 2023 economic survey for Peru:

… weakness of the rule of law reduces the attractiveness of Peru’s business environment. A strong rule of law is supposed to not only protect private parties from arbitrary action and infringement of property rights by the state, but also to ensure a level playing field for economic interactions between private parties. It provides for security of property rights and contract enforcement (…), necessary incentives for private sector investment and innovation. However, in Peru, high corruption and unpredictable and inefficient judicial system result in weak de facto property rights, as perceived by the business community (…). The poor efficiency of the legal framework in settling disputes (…) limits businesses’ willingness to bear the risk of, for example, contracting with unknown business partners, or hiring formal workers given high legal uncertainty about the interpretation of strict employment protection regulations.[178]

Education and intellectual property also play important roles. Another OECD report focused on public policies to foster digital transformation noted that it is crucial to “(s)trengthen the diffusion of digital technologies and related practices and business models across the economy (…) fostering investment in tangible (machinery and equipment) and in intangible capital, notably in complementary assets such as skills, organizational changes, process innovation, intellectual property, R&D, new systems and new business models,”[179] as well as to “(s)upport the development of skills that people will need to succeed in the digital world of work, notably sound cognitive skills, ICT skills, specialist skills and the ability to cope with change and keep learning.”[180]

The OECD’s “Shaping the Digital Transformation” report suggested that “(p)olicies to promote ICT investment and the diffusion of digital toots should pay particular attention to the challenges faced by SMEs to adopt and benefit from ICTs”[181] and that “(t)o help SMEs overcome barriers to effective use of advanced digital tools, governments need to enhance support and better target policies to SMEs.” [182] Examples of such approaches include schemes to facilitate the adoption of tools that may be new to SMEs, like cloud computing; promoting better use of intellectual property and other intangibles (for instance, reducing the cost to register a brand); creating exemptions from certain rules for SMEs in order to facilitate regulatory compliance; and implementing programs to raise awareness of and create opportunities for linkages between SMEs and larger firms.[183]

Regarding education, the same report proposed:

Skills-enhancing programmes for youth that combine classroom teaching, workplace learning and job search services help young Latin Americans transition to employment. Training interventions for youth in the region, such as Jóvenes con más y mejor trabajo in Argentina, ProJovem in Brazil, Plan Nacional de Lenguas Digitales in Chile, Jóvenes en Acción in Colombia, Puntos Mexico Conectado in Mexico and ProJoven in Peru, prove that comprehensive interventions have positive results on youth employability, earnings and especially job quality (ILO, 2016a). Public spending in training programmes in LAC ranges from 0.02% of GDP in Peru to more than 0.30% in Colombia and Costa Rica, compared to an OECD average of 0.14%. At secondary and tertiary levels, Argentina, Brazil, Chile, Colombia, Costa Rica, Mexico and Peru are making significant advances in coverage, quality and adequacy of the programmes to meet the needs of the private sector.

Training programmes that respond to the needs of the marketplace, thanks to private sector participation in their design and implementation, facilitate youth’s transition into quality jobs and better earnings. Impact evaluations of the early experiences of these programmes in LAC show that coordinating course content with the private sector as well as providing participants with a stipend, are central for programmes to work well. Although foundational skills are important, individuals should be trained to participate in knowledge-based and skills-based economies. General education and TVET should expand their links with the region’s productive sector to underpin on-the-job-training systems, which should be a cornerstone of education and training across the life cycle.[184]

Upgrading human capital is paramount to maximizing technology’s benefits for productivity. But in addition to fostering specific skills, what is needed more generally is:

…improving Latin American youth’s skills involves strengthening the coverage and quality of the education system and promoting lifelong comprehensive skills-enhancing policies. Broader reforms of the education system are expected to increase access to, and quality and pertinences of, primary, secondary and tertiary education.[185]

IV. Conclusion

The case for ex-ante regulation of digital markets is weak, even in mature digital markets like the United States and Europe. It is weaker still in regions like Latin America, which do not present a general “lack of competition” problem or market failures in such markets. Some digital markets even show vibrant competition, as in the case of e-commerce, FinTech, ride-hailing, and food delivery.

Latin America has more pressing problems to address. Before even thinking of regulating digital markets, the region’s policymakers should be thinking about ways to attract companies operating in digital markets to invest in the region[186] and should facilitate the creation of new ones. For that, legal reform is indeed needed. But not to the antitrust laws, and certainly not to implement DCRs. The focus should instead be on policies like implementing proper “rule-of-law” mechanisms, removing regulatory barriers, improving access to infrastructure, increasing the use of telecommunications networks, and fostering better access to education (both in general and specifically regarding the proper skills to use digital products and services).

Rather than inviting a “Regulatory Reconquista” from Europe in the form of DMA-like regulation, Latin America should follow its own path. Before any new regulation is to be approved, Latin American policymakers should follow their own analysis and rationale. At the very least, Latin America should take a cautious “wait and see” approach to the DMA’s implementation in the EU, and the adjudication of major pending antitrust cases against digital platforms in both Europe and the United States.

[1] Jan Kleinheisterkamp, Latin America, Influence of European Private Law, in The Max Planck Encyclopedia of European Private Law (Jürgen Basedow et al., eds., 2012), at 1032.

[2] See Arturo J. Carrillo & Matías Jackson, Follow the Leader? A Comparative Law Study of the EU’s General Data Protection Regulation’s Impact in Latin America, 16 Vienna J. Int’l Const. L. 177 (2022).

[3] See, e.g., Jian Jia, Ginger Zhe Jin, & Liad Wagman, The Short-Run Effects of GDPR on Technology Venture Investment (Nat’l Bureau of Econ. Research Working Paper No. 25248, 2019), https://ssrn.com/abstract=3278912; Garrett Johnson, Economic Research on Privacy Regulation: Lessons From the GDPR and Beyond, in The Economics of Privacy (Avi Goldfarb & Catherine Tucker eds., 2024); see also, more generally, Michal Gal & Oshrit Aviv, The Competitive Effects of the GDPR, 16 J. Competition L. & Econ. 349 (2020).

[4] Alfonso Miranda Londoño, Competition Law in Latin America. Main Trends and Features 5, Cent. Estud. Derecho Competencia (Apr. 2012), available at https://centrocedec.files.wordpress.com/2010/06/cornell-lacompetition-20123.pdf.

[5] Julian Peña, Las Políticas De Competencia en América Latina Post-Consenso de Washington, Cent. Compentencia (Mar. 31, 2021), at 7-8, available at https://centrocompetencia.com/wp-content/uploads/2021/03/Julian-Pena.pdf.

[6] See Germán Coloma, The Argentine Competition Law and Its Enforcement, in Competition Law and Policy in Latin America (Eleanor Fox & Daniel Sokol, eds., 2009), at 94; Acts 11,210 and 12,906, from 1933 and 1946, respectively, were rarely enforced.

[7] Aida Sanchez Alonso, Brussels Looks to Regain Influence in Latin America, as Leaders’ Summit Begins, Euronews (Jul. 17, 2023), https://www.euronews.com/my-europe/2023/07/17/brussels-looks-to-regain-influence-in-latin-america-as-leaders-summit-begins (“After eight years without any high-level summits, Europe wants to regain influence in the region, realising that the war in Ukraine has changed the rules of the game when it comes to geopolitics. China has also been massively investing in the region, something Brussels is looking to counter.”)

[8] Thibault Schrepel, The Expected Impact of “Great Power Competition” on Antitrust Policy, Network L. Rev. (May 17, 2023), https://www.networklawreview.org/great-power-competition.

[9] Regulation (EU) 2022/1925 of the European Parliament and of the Council of 14 September 2022 on Contestable and Fair Markets in the Digital Sector and Amending Directives (EU) 2019/1937 and (EU) 2020/1828, 2022 O.J. (L 265) 1 (hereinafter “DMA” or “Digital Markets Act”).

[10] Barbara Moens & Paola Tamma, Macron and Merkel Defy Brussels with Push for Industrial Champions, POLÍTICO EU (May 18, 2020), https://www.politico.eu/article/macron-and-merkel-defy-brussels-with-push-for-industrial-champions.

[11] Meredith Broadbent, Implications of the Digital Markets Act for Transatlantic Cooperation, Cent’r for Strategic & Int’l Studies (Sep. 15, 2021), at 19, https://www.csis.org/analysis/implications-digital-markets-act-transatlantic-cooperation.

[12] The term “digital competition regulation” or “DCR” will be used to differentiate the ex-ante regulation of digital markets for purposes connected (even if only purportedly) to competition from other regulations intended to serve other policy goals, such as the General Data Protection Regulation (Regulation (EU) 2016/679) or the EU AI Act. DCRs include both extant rules and those currently under consideration. Context on legislative status will be provided where available and appropriate.

[13] Lazar Radic, Geoffrey A. Manne, & Dirk Auer, Regulate for What? A Closer Look at the Rationales and Goals of Digital Competition Regulations, Int’l Ctr. L. Econ. (Aug. 1, 2024), forthcoming 22 Berkeley Bus. L.J., https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4929628.

[14] See Press Release, Países de la Comunidad Andina Dialogaron Sobre Libre Competencia Comunictaria y Mercados Digitales, Comunidad Andina (Nov. 28, 2022), https://www.comunidadandina.org/notas-de-prensa/paises-de-la-comunidad-andina-dialogaron-sobre-libre-competencia-comunitaria-y-mercados-digitales (free translation of the following text in Spanish: “Estamos seguros de que esta iniciativa fortalecerá a nivel regional el conocimiento especializado de los mercados digitales y la aplicación en la normativa comunitaria para la investigación y sanción por prácticas anticompetitivas y de abuso de posición de dominio en la región andina, sin perjuicio, de evaluar la posible elaboración de una normativa exclusiva para mercados digitales, como parte de nuestra agenda.”)

[15] Estrategia Digital, Com. Fed. Competencia Econ. (COFECE), (Mar. 30, 2020), available at https://www.cofece.mx/wp-content/uploads/2020/03/EstrategiaDigital_V10.pdf.

[16] Initially proposed as part of the final report of the UK’s Digital Competition Expert Panel (also known as the “Furman report”), a Digital Markets Unit is authorized to be created within the Competition and Markets Authority by virtue of the Digital Markets, Competition and Consumers Bill. See Jason Furman et al., Unlocking Digital Competition: Report of the Digital Competition Expert Panel (Mar. 2019), available at https://assets.publishing.service.gov.uk/media/5c88150ee5274a230219c35f/unlocking_digital_competition_furman_review_web.pdf.

[17] COFECE, supra note 15, at 12.

[18] Estudio de Mercado del Sector Fintech en el Peru, Inst. Nac. Def. Competencia Prot. Prop. Intelect. (INDECOPI), (Sep. 30, 2023), at 138-139, available at https://cdn.www.gob.pe/uploads/document/file/6215160/5476585-estudio-de-mercado-del-sector-fintech-en-peru.pdf?v=1713476412.

[19] PL 2768/2022, Dispõe Sobre a Organização, o Funcionamento e a Operação das Plataformas Digitais Que Oferecem Serviços ao Público Brasileiro e dá Outras Providências, Câmara dos Deputados (Nov. 10, 2022), available at https://www.camara.leg.br/proposicoesWeb/fichadetramitacao?idProposicao=2337417.

[20] Id. at 9 (free translation of the following text in Portuguese: “Já na Comissão Europeia, o ‘Digital Markets Act,’ direcionado aos chamados ‘controladores de acesso’ (gatekeepers) no mundo digital, é bastante detalhado e foi aprovado em 2022. Acreditamos que cabe introduzir uma regulação na linha da Comissão Européia, mas de forma bem menos detalhada. Isso porque estamos lidando com questões de extrema relevância, que exigem respostas regulatórias bem mais rápidas do que o que é possível na defesa da concorrência, mas suficientemente novas para indicar não ser cabível colocar uma camisa de força ex-ante nos agentes econômicos, com uma série de proibições absolutas.”)

[21] Plataformas Digitais: Aspectos Economicos e Concorrenciais e Recomendacoes para Aprimoramentos Regulatórios No Brasil, Minist. Fazenda (Oct. 10, 2024), available at https://www.gov.br/fazenda/pt-br/central-de-conteudo/publicacoes/relatorios/relatorio-plataformas-consolidado.pdf.

[22] Economía Digital Para el Cambio Estructural y la Igualdad, Econ. Comm. Lat. Am. Caribb. (ECLAC), (2013), at 97, available at https://repositorio.cepal.org/server/api/core/bitstreams/ce419364-f83a-4ef3-a9dd-91c9c295b273/content (free translation of the following text in Spanish: “Después de dos décadas de implementación de políticas que han enfatizado el desarrollo de la infraestructura, el acceso a Internet y la difusión de las TIC, la evidencia muestra una importante participación de la economía digital en el PIB. Estimaciones de la CEPAL indican que, en promedio para Argentina, Brasil, Chile y México, alcanza al menos a 3,2%, cifra no despreciable si se considera que en los 27 países de la Unión Europea el porcentaje correspondiente es 5%.”)

[23] Id. at 39.

[24] Id.

[25] Id.

[26] Latin American Economic Outlook 2020: Digital Transformation for Building Back Better, Organ. Econ. Co-oper. Dev. (Sep. 24, 2020, https://doi.org/10.1787/e6e864fb-en.

[27] Id. at 83.

[28] Id. at 94.

[29] Metodología del Índice de Desarrollo del Ecosistema Digital (IDED), Banco Desarro. Am. Lat. Caribe (Jan. 2017), available at https://scioteca.caf.com/bitstream/handle/123456789/1052/METODOLOGIA%20DE%20IDED.pdf.

[30] OECD, supra note 26, at 96.

[31] Individuals Using the Internet (% of population) – Latin America & Caribbean, World Bank, https://data.worldbank.org/indicator/IT.NET.USER.ZS?locations=ZJ (last visited Sep. 29, 2024).

[32] OECD, supra note 26, at 96.

[33] Id. at 127-128.

[34] Shaping the Digital Transformation in Latin America: Strengthening Productivity, Improving Lives, Organ. Econ. Co-oper. Dev. (2019), at 17, https://www.oecd-ilibrary.org/docserver/8bb3c9f1-en.pdfexpires=1727657393&id=id&accname=guest&checksum=15F0525182C411C03A98395D05010716.

[35] Id. at 57.

[36] Id. at 13.

[37] Id. at 75.

[38] Id. at 75-76.

[39] In Section 2A, we explain why regulation of digital markets is not warranted under the standard “market failure rationale.”

[40] See, infra, Section 2.

[41] The DMA Art. 2(2) defines “core platform services” as including: online intermediation services, online search engines, online social-networking services, video-sharing platform services; number-independent interpersonal communications services; operating systems; web browsers; virtual assistants; cloud-computing services; and online advertising services, including any advertising networks, advertising exchanges, and any other advertising-intermediation services provided by an undertaking that provides any of the abovementioned core platform services.

[42] Other than the legal research and the advocacy reports by competition agencies cited in Section 2C.

[43] Richard A. Posner & William M. Landes, Market Power in Antitrust Cases, 94 Harv. L. Rev. 937, 947-951 (1980).

[44] Search Engine Market Share South America– August 2024, Statcounter, https://gs.statcounter.com/search-engine-market-share/all/south-america (last visited Sep. 29, 2024).

[45] In 2014, it had nearly the same market share, 93.25%; see Search Engine Market Share South America– Jan – Dec 2014, Statcounter, https://gs.statcounter.com/search-engine-market-share/all/south-america/2014 (last visited Sep. 29, 2024).

[46] Desktop Operating System Market Share South America, Statcounter, https://gs.statcounter.com/os-market-share/desktop/south-america (last visited Sep. 30, 2024).

[47] Id.

[48] Mobile Operating System Market Share South America- Aug 2023-Aug 2024, Statcounter, https://gs.statcounter.com/os-market-share/mobile/south-america (last visited Sep. 30, 2024).

[49] Imed Bouchrika, Mobile vs Desktop Usage Statistics for 2024, Research.com (Jun. 13, 2024), https://research.com/software/mobile-vs-desktop-usage.

[50] Jonathan Barnett, Illusions of Dominance: Revisiting the Market Power Assumption in Platform Ecosystems, 86 Antitrust L. J. 1, 13 (2024).

[51] See note 100 and accompanying text.

[52] Social Media Stats South America- Aug 2023-Aug 2024, Statcounter, https://gs.statcounter.com/social-media-stats/all/south-america (last visited Sep. 29, 2024). Computation of market-shares statistics does not include TikTok, but does include YouTube.

[53] Matteo Ceurvels, Facebook and Twitter Poised to Shed Users in Latin America, Emarketer (Apr. 10, 2023), https://www.emarketer.com/content/facebook-twitter-due-shed-users-latin-america.

[54] See Katharina Buchholz, The Rapid Rise of TikTok, Statista (Oct. 7, 2022), www.statista.com/chart/28412/social-media-users-by-network-amo.

[55] Estefanía Lotitto & Bernardo Díaz de Astarloa, The Landscape of B2C E-Commerce Marketplaces in Latin America and the Caribbean, Econ. Comm. Lat. Am. Caribb. (ECLAC), (2023), at 13, https://www.cepal.org/es/node/58098.

[56] Id. at 32.

[57] Latin American and Caribbean Competition Forum – Session III: Practical Approaches to Assessing Digital Platform Markets for Competition Law Enforcement, Organ. Econ. Co-oper. Dev. (Sep. 2019), at 12, available at https://one.oecd.org/document/DAF/COMP/LACF(2019)4/en/pdf.

[58] See Landes & Posner, supra note 43, at 950. Jonathan Barnett makes a similar point regarding cloud computing: “Regulators assert that cloud providers have natural incentives to exploit locked-in users. In a market in which users can multihome across cloud providers and retain data on-premises, this assertion does not withstand scrutiny. A provider that extracts immediate gains by degrading the quality of service for existing clients—an observable signal of provider opportunism—would be short-sighted since it would likely sacrifice a far larger stream of future gains as a result of decreased usage by existing clients and lost usage from potential clients. Given that the cloud market is still in its relatively early stages, the number of potential clients that have not yet migrated to cloud based data services almost certainly exceeds by a large measure the number of existing clients.” See Barnett, supra note 50, at 47.

[59] See Hovenkamp, infra note 92 and accompanying text; see also Daniel D. Sokol & Jingyuan (Mary) Ma, Understanding Online Markets and Antitrust Analysis, 15 Nw. J. Tech. & Intell. Prop. 43 (2017).

[60] Raymundo Campos, Alejandro Castañeda, Aurora Ramírez, & Carlos Ruiz, Amazon’s Effect on Prices: The Case of Mexico (El Colegio de Me?xico, Centro de Estudios Econ. Working Paper No. II-2022, 2022), available at https://cee.colmex.mx/dts/2022/DT-2022-2.pdf.

[61] OECD, supra note 57 at 13.

[62] Aeropost Ingresó a Competir en el Mercado de E-Commerce en el Perú, Semana Económica (Nov. 23, 2023), https://semanaeconomica.com/sectores-empresas/comercio/aeropost-ingreso-a-competir-en-el-mercado-de-e-commerce-en-el-peru.

[63] Id.

[64] OECD, supra note 57, at 114-15.

[65] See INDECOPI, supra note 18, at 24-25.

[66] Bas B. Bakker et al., The Rise and Impact of Fintech in Latin America, Fintech Notes (2023), https://www.elibrary.imf.org/view/journals/063/2023/003/article-A001-en.xml.

[67] Id.

[68] The Future Is Bright for Latin American Startups, The Economist (Nov. 13, 2023), https://www.economist.com/the-world-ahead/2023/11/13/the-future-is-bright-for-latin-american-startups.

[69] Id.

[70] Guilherme Mendes Resende & Ricardo Carvalho de Andrade Lima, Evaluating the Competition Effects of Uber’s Entry into the Brazilian Incumbent Cab-Hailing App Segment, 14 J. Competition L. & Econ. 608–637 (2018), https://academic.oup.com/jcle/article-abstract/14/4/608/5528532; Juan David Gutiérrez & Manuel Abarca, Mind the Gap: Assessing Ride-Hailing Apps in Latin America and the Caribbean, Kluwer Competition L. Blog (Mar. 17, 2023), https://competitionlawblog.kluwercompetitionlaw.com/2023/03/17/mind-the-gap-assessing-ride-hailing-apps-in-latin-america-and-the-caribbean.

[71] Scott Beyer, Latin America’s Food Delivery Wars, Catalyst (May 8, 2023), https://catalyst.independent.org/2023/05/08/latam-delivery.

[72] COFECE, supra note 15, at 6 (free translation of the following text in Spanish: “Hasta el momento, la llegada de algunos gigantes tecnológicos a los mercados mexicanos ha generado presión competitiva para las empresas tradicionales. Por ejemplo, la creciente actividad de empresas como Google y Facebook en el mercado de la publicidad puede tener como efecto que importantes empresas establecidas en este mercado enfrenten mayor competencia y trabajen arduamente por satisfacer las demandas de sus consumidores. Algo similar podría suceder en sectores como el de ventas al por menor, finanzas, movilidad y entretenimiento, cuyos mercados tradicionales presentan importantes niveles de concentración, y que con la llegada de empresas como Amazon, Uber, Cabify, Didi, diversas Fintech, Apple y Netflix podrían beneficiarse del proceso de competencia.”)

[73] Esteban Greco & María Fernanda Viecens, Economía Digital en América Latina: Reflexiones Sobre las Concentraciones Económicas en la Región, 21 Revista de Derecho Administrativo 146, 158-159 (2022), (free translation of the following text in Spanish: “Los jugadores digitales actúan como oferentes disruptivos respecto de los jugadores tradicionales. En diversos mercados se observa que son los desarrollos digitales los que ejercen presión competitiva sobre el mercado, y los que proveen productos novedosos y alternativas tecnológicas, resultando que el proceso competitivo incluye tanto a jugadores tradicionales como digitales. Entonces, en tales casos, más que mercados digitales se observan jugadores digitales irrumpiendo en mercados tradicionales y ejerciendo presión competitiva sobre oferentes establecidos.”)

[74] Giuseppe Colangelo, Evaluating the Case for Regulation of Digital Platforms, in The Gai Report on the Digital Economy (2020), at 905.

[75] Id. at 905-906.

[76] See Analytical Note on the G7 Inventory of New Rules for Digital Markets Organ. Econ. Co-Oper. Dev. (2023), available at https://www.oecd.org/competition/analytical-note-on-the-G7-inventory-of-new-rules-for-digital-markets-2023.pdf.

[77] See Bruce H. Kobayashi & Joshua D. Wright, Antitrust and Ex-Ante Sector Regulation, in The GAI Report on the Digital Economy (2020), at 869, Table 1; see also Pablo Ibañez Colomo, The New EU Competition Law (2023), at 125. (“The path eventually chosen by the Commission and the EU legislature is the enactment of sector-specific legislation, comparable in several respects to the one that applies to telecommunications and energy (electricity and gas) activities. At least formally speaking, the DMA is not a competition law regime. In fact, the Preamble itself is explicit about the role of the regulatory apparatus as a complement to Articles 101 and 102 TFEU.”)

[78] Colangelo, supra note 74, at 927-928; see also Radic, Manne, & Auer, supra note 12.

[79] Colangelo, supra note 74, at 914.

[80] See Robert Cooter & Tomas Ulen, Law and Economics (3d. ed., 2000), at 40-43; W. Kip Viscusi, Joseph E. Harrington Jr. & John M. Vernon, Economics of Regulation and Antitrust (4d. ed., 2005), 376-379.

[81] Henry Butler, Christopher R. Drahozal & Joanna Shepherd, Economic Analysis for Lawyers (3d. ed. 2014), at 125-126.

[82] Stephen Breyer, Regulation and its Reform (1982), at 15.

[83] Butler et al., supra note 81, at 26; Cooter & Ulen, supra note 80, at 40-43; Viscusi et al., supra note 80.

[84] See Breyer, supra note 82; see also Regulatory Impact Assessment: OECD Best Practice Principles for Regulatory Policy, Organ. Econ. Co-oper. Dev. (Feb. 25, 2020), https://doi.org/10.1787/7a9638cb-en.

[85] Thomas Lambert, Tech Platforms and Market Power: What’s the Optimal Policy Response? (Mercatus Ctr. Working Paper, 2021), at 14, tech-platforms-and-market-power-whats-optimal-policy-response.

[86] Radic, Manne, & Auer, supra note 12, at 21.

[87] See DMA, recitals 2-5.

[88] See Colangelo, supra note 74.

[89] See DMA, recital 2.

[90] See Breyer, supra note 82.

[91] Cooter & Ulen, supra note 80, at 40. (“The public policies for correcting the shortcomings of monopoly are to replace monopoly with competition where possible, or to regulate the price charged by the monopolist. The first policy is the rationale for the antitrust laws. But sometimes is not possible or even desirable to replace a monopoly. Natural monopolies, such as public utilities, are an example; those monopolies are allowed to continue in existence but government regulates their prices.”)

[92] Herbert Hovenkamp, Antitrust and Platform Monopoly, 130 Yale L. J. 1952, 1978 (2021).

[93] Richard Posner, Antitrust Law (2nd. ed., 2001), 248-250.

[94] Lambert, supra note 85, at 24-25.

[95] Id.

[96] Jonathan Barnett, Does the European Union’s Digital Markets Act Provide an Appropriate Model for Maintaining Competition in California’s Innovation Economy? (report commissioned by the Chamber of Progress, Dec. 2023), at 17, available at http://www.clrc.ca.gov/pub/2024/MM24-05.pdf.

[97] Id.

[98] Francesco Ducci, Natural Monopolies in Digital Platform Markets (2020).

[99] Id. at 73.

[100] Id. at 74.

[101] Id. at 95.

[102] Id. at 124.

[103] David S. Evans & Richard Schmalensee, Debunking the “Network Effects” Bogeyman, 40 Regulation 36, 39 (2017-2018), available at https://www.cato.org/sites/cato.org/files/serials/files/regulation/2017/12/regulation-v40n4-1.pdf.

[104] Christopher Yoo, Network Effects in Action, in The GAI Report on the Digital Economy (2020), at 191, available at https://gaidigitalreport.com/wp-content/uploads/2020/11/Yoo-Network-Effects-in-Action.pdf.

[105] Jean Tirole, Competition and the Industrial Challenge for the Digital Age, 15 Annual Rev. Econ. 573, 581 (2023), https://www.annualreviews.org/content/journals/10.1146/annurev-economics-090622-024222.

[106] Foo Yun Chee, Watchdog Highlights Shortcomings in EU Rules to Curb Tech Companies, Reuters (Dec. 21, 2020), https://www.reuters.com/article/business/watchdog-highlights-shortcomings-in-eu-rules-to-curb-tech-companies-idUSKBN28V1KR.

[107] See The Evolving Concept of Market Power in the Digital Economy – Summaries of Contributions, Organ. Econ. Co-oper. Dev. (Jun. 22, 2022), available at https://one.oecd.org/document/DAF/COMP/WD(2022)63/en/pdf.

[108] Herbert Hovenkamp, Antitrust and Platform Monopoly, 130 Yale L. J. 1952, 1956 (2021).

[109] Lazar Radic, Digital-Market Regulation: One Size Does Not Fit All, Truth Mark. (Apr.17, 2023), https://truthonthemarket.com/2023/04/17/digital-market-regulation-one-size-does-not-fit-all.

[110] Alba Ribera, La Regulación de los Ecosistemas Digitales Frente a las Relaciones Complejas de los Operadores Económicos, Centro Competencia, (May 10, 2023), https://centrocompetencia.com/regulacion-ecosistemas-digitales-relaciones-complejas-operadores-economicos (free translation of the original text in Spanish: “Uno de los mayores ejemplos de la dicotomía que se erige entre los distintos tipos de consecuencias que se pueden generar por la captura regulatoria de los ecosistemas digitales lo podemos encontrar en la reciente decisión de Meta, de no lanzar su nuevo servicio Threads en el Espacio Económico Europeo. En la medida en que su servicio podría interpretarse de forma que cayera dentro de la definición de un ‘servicio básico de plataforma’ perteneciente a la categoría de redes sociales en línea’ (listada por la LMD), Meta decidió abstenerse de entrar en el mercado europeo, por la carga desproporcionada que le supondría las exigentes obligaciones impuestas por la LMD. Cabe notar que Threads es aún un servicio entrante en el mercado de redes sociales en línea, en contraste con la posición predominante ocupada por la actual (anteriormente conocida como Twitter). De esta forma, observamos que la categorización como servicio básico de plataforma unifica y elimina todos los matices que el propio juego de la libre competencia opera respecto de servicios entrantes en los mercados.”); The service was made available in the European Union later in the year. See Imram Rahman-Jones & Tome Gerken, Threads: Meta’s Rival to Elon Musk’s X Launches in EU, Br. Broadcast. Corp. (Dec. 14, 2023), https://www.bbc.com/news/technology-67695643.

[111] Radic, supra note 109 (“While perhaps the EU—the world’s third largest economy—can afford to impose costly and burdensome regulation on digital companies because it has considerable leverage to ensure (with some, though as we have seen, by no means absolute, certainty) that they will not desert the European market, smaller economies that are unlikely to be seen by GAMA as essential markets are playing a different game.”)

[112] See Press Release, Facebook and Instagram to Offer Subscription for No Ads in Europe, Meta (Oct. 30, 2023), https://about.fb.com/news/2023/10/facebook-and-instagram-to-offer-subscription-for-no-ads-in-europe.

[113] See GDP Per Capita, Current Prices, Int’l. Monet. Fund, https://www.imf.org/external/datamapper/NGDPDPC@WEO/OEMDC/ADVEC/WEOWORLD/WE (last visited Sep. 29, 2024).

[114] See Geoffrey Manne & Dirk Auer, Brussels Effect or Brussels Defect: Digital Regulation in Emerging Markets, Truth Mark. (Dec. 20, 2022), https://truthonthemarket.com/2022/12/20/brussels-effect-or-brussels-defect-digital-regulation-in-emerging-markets. The argument presented is about South Africa, but may be even more relevant to Latin America.

[115] Ke Rong, D. Daniel Sokol, Di Zhou, & Feng Zhu, Antitrust Platform Regulation and Entrepreneurship: Evidence from China (Harvard Business Sch. Tech & Operations Mgt. Unit Working Paper No. 24-039, USC Class Research Paper No. 24-16, 2024), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4697283.

[116] Anti-Monopoly Guidelines, State Counc. People’s Repub. China, https://www.gov.cn/xinwen/2021-02/07/content_5585758.htm (last visited Dec. 20, 2024). The Chinese anti-monopoly guidelines for the platform economy do not include all the obligations and prohibitions included in digital market regulations like the DMA, but they do regulate “unfair price practices” and whether some “relevant platforms are necessary facilities.”

[117] Rong, Sokol, Zhou, & Zhu, supra note 115, at 13.

[118] Mario Draghi, The Future of European Competitiveness, Eur. Comm. (Sep. 2024), https://commission.europa.eu/topics/strengthening-european-competitiveness/eu-competitiveness-looking-ahead_en.

[119] Id., at 79.

[120] Id., at 8.

[121] Eduardo Fernández-Arias & Nicolás Fernández-Arias, The Latin American Growth Shortfall: Productivity and Inequality, (UNDP LAC Working Paper Series, Mar. 2021), at 4, 8, https://www.undp.org/latin-america/publications/latin-american-growth-shortfall-productivity-and-inequality.

[122] National Accounts Data Files, World Bank, https://data.worldbank.org/indicator/NY.GDP.PCAP.KD?end=2023&locations=US-BR-MX-AR-PA-PE-CL-CO&name_desc=false&start=1961&view=chart (last visited Mar. 9, 2025).

[123] Colangelo, supra note 74, at 930.

[124] While acknowledging the relative “slowness” of antitrust procedures and these may be more relevant for Latin America, see Lambert, supra note 85, at 17. (“It is important, however, not to overstate these limitations. As precedents develop, antitrust becomes both more determinate (as business planners, enforcers, and courts may look to past judgments to predict how courts will assess the reasonableness of a challenged practice) and faster (as the growing pattern of precedents deters conduct likely to generate an adverse judgment). In the early days of new business models and market structures, legal expectations are unclear, and adjudication is required to establish them. As precedents develop around novel markets and practices, antitrust’s directives become clearer and generate more immediate effects.”)

[125] Regulators often run the risk of condemning business practices and models that they don’t fully understand; even the businesses that implement them don’t always fully know or understand the impact of such practices. See Frank Easterbrook, The Limits of Antitrust, 63 Tex. L. Rev. 1 (1984).

[126] Press Release, Commission Opens Non-Compliance Investigations Against Alphabet, Apple and Meta Under the Digital Markets Act, Eur. Comm. (Mar. 25, 2024), https://digital-markets-act.ec.europa.eu/commission-opens-non-compliance-investigations-against-alphabet-apple-and-meta-under-digital-markets-2024-03-25_en.

[127] See notes 107 and 108 and accompanying text.

[128] Radic, Manne, & Auer, supra note 12, at. 69.

[129] See Giuseppe Colangelo & Oscar Borgogno, App Stores as Public Utilities? Truth Mark. (Jan. 19, 2022), https://truthonthemarket.com/2022/01/19/app-stores-as-public-utilities.

[130] Randal Picker, Prepared of Randal Picker, Investigation into the State of Competition in the Digital Market Place, U.S. House Judic. Subcomm. Antitrust Commer. Adm. Law (May 11, 2020), at 31, available at https://picker.uchicago.edu/PickerHouseStatement.100.pdf.

[131] S.2992 – American Innovation and Choice Online Act, 117th Congress (2021-2022), https://www.congress.gov/bill/117th-congress/senate-bill/2992/text.

[132] See Jeremy Torres, Pourquoi Google Maps ne Fonctionne Plus Directement Dans la Recherche Google, Liberation (last updated Mar. 5, 2024), https://www.liberation.fr/economie/pourquoi-google-maps-ne-fonctionne-plus-directement-dans-la-recherche-google-et-comment-y-remedier-20240304_2WCOEUZ5IJADFMSTFPQXY2KBTA.

[133] Thomas A. Lambert, AICOA Is Neither Urgently Needed Nor Good: A Response to Professors Scott Morton, Salop, and Dinielli, Truth Mark. (Jul. 25, 2022), https://truthonthemarket.com/2022/07/25/aicoa-is-neither-urgently-needed-nor-good-a-response-to-professors-scott-morton-salop-and-dinielli.

[134] Kobayashi & Wright, supra note 77, at 869-870. Kobayashi and Wright acknowledge that “this advantage may not be important when such heterogeneity is minimal or when it cannot be predicted ex-ante by the regulated firms. Moreover, the absence of effective ex-post remedies may favor the ex-ante approach even with heterogeneity.” As we explain in Section 2B, digital markets are heterogeneous.

[135] Lambert, supra note 124, at 14 (“Because they are more rigid and prescriptive than antitrust’s flexible standards, and thus less likely to be appropriate for a broad range of diverse firms, ex ante rules addressing market power concerns tend to be limited in scope. They are usually tailored for a particular industry or group of firms. Antitrust’s standards are focused on ends rather than specific means, and are therefore less likely to ‘misfire’ when applied broadly.”).

[136] Posner, supra note 93, at 39 (“Rules are generally simpler and cheaper to enforce than standards and provide clearer guidance both to the people subject to them and to the courts that administer them. But they are often either underinclusive or overinclusive, and sometimes they are both at the same time. They are especially apt to fail as a sensible method of lawmaking when the relation of the rule’s purpose to the fact of facts that it makes determinative or legality is unclear. In such cases, the decision whether to characterize the case as falling within the domain of the rule may depend on the same factors that would determine legality under a standard.”).

[137] Even in civil-law countries (as most, if not all, countries in Latin America are), antitrust laws are generally designed as ex-post rules with general prohibitions. While some specific practices may be listed as anticompetitive, courts and competition agencies have circumscribed, through the caselaw, the precise boundaries of anticompetitive behavior.

[138] Geoffrey A. Manne, Error Costs in Digital Markets, in The Gai Report On The Digital Economy (2020), at 38-39.

[139] Id.

[140] Barnett, supra note 96, at 15.

[141] Jacques Crémer, Yves-Alexandre De Montjoye, & Heike Schweitzer, Competition Policy for The Digital Era, Eur. Comm. (2019), at 126.

[142] Id. at 70.

[143] Giuseppe Colangelo, The Digital Markets Act and EU Antitrust Enforcement: Double & Triple Jeopardy, Int’l Ctr. L. Econ. (Mar. 23, 2022), at 7, available at the-digital-markets-act-and-eu-antitrust-enforcement-double-triple-jeopardy.

[144] Case B6-22/16 Facebook, Bundeskartellamt (Feb. 6, 2019), available at https://www.bundeskartellamt.de/SharedDocs/Entscheidung/EN/Entscheidungen/Missbrauchsaufsicht/2019/B6-22-16.pdf.

[145] Case AT.40153, E-book MFNs and Related Matters (Amazon), Eur. Comm. (May 4, 2017), available at https://ec.europa.eu/competition/antitrust/cases/dec_docs/40153/40153_4392_3.pdf.

[146] Case AT.39740 Google Search (Shopping), Eur. Comm. (Jun. 27, 2017), available at https://ec.europa.eu/competition/antitrust/cases/dec_docs/39740/39740_14996_3.pdf.

[147] Radic, Manne, & Auer, supra note 12, at 33.

[148] Lambert, supra note 85,  at 53-54.

[149] Dennis W. Carlton & Randall C. Picker, Antitrust and Regulation (Nat’l Bureau Econ. Research Working Paper No. 12902, 2007), at 50-51, available at, https://www.nber.org/system/files/working_papers/w12902/w12902.pdf. (“Regulation created numerous inefficiencies and benefited special groups. In response to criticisms of regulation, antitrust either completely or partially replaced regulation and antitrust was used as a complement and sometimes as a constraint on regulators in many industries. The deregulated network industries that we examined all show a similar pattern: after deregulation, there is massive consolidation, a lessening of the reliance on interconnection from other firms, a decline in either wages or employment or both, and a fall in prices with a reduction or end to any cross subsidy. Consumers benefit, special interests are harmed… The relative advantages and disadvantages of each mechanism became clearer over time. Regulation produced cross-subsidies and favors to special interests, but was able to specify prices and specific rules of how firms should deal with each other. Antitrust, especially when it became economically coherent within the past 30 years or so, showed itself to be reasonably good at promoting competition, avoiding the favoring of special interests, but not good at formulating specific rules for particular industries.”)

[150] Tirole, supra note 105, at 580.

[151] Ibañez Colomo, supra note 78, at 131.

[152] Id.

[153] Posner, supra note 93, at 256. (Posner does acknowledge that “the institutional structure of antitrust enforcement” could be troublesome when applying antitrust laws to the “new economy.” But he suggests addressing those difficulties within the realm of antitrust law, with some reforms to streamline procedures and allow the use of more technical expertise.)

[154] OECD, supra note 57, at 6.

[155] Juan David Gutiérrez & Manuel Abarca, Challenges to Competition and Innovation in Digital Markets. Insights from Latin American cases, in Digital Platforms, Competition Law, and Regulation: Comparative Perspectives (Kalpana Tyagi, et al. eds., 2024), at 164-165. (These figures do not include merger-control cases or advocacy reports, where the authors found that “… in the same period, LAC’s competition authorities assessed a significant number of digital markets cases in their merger control processes and advocacy activities. Merger control cases that involve digital markets were assessed in 43 per cent of the jurisdictions with mandatory merger control (six out of 14). The jurisdictions that dealt with digital merger cases were Argentina, Brazil, Colombia, Chile, Ecuador, and Mexico. Competition advocacy reports, market studies and competition assessments of regulatory projects related to digital markets were published in 48 per cent of LAC’s jurisdictions studied in this chapter (11 out of 23). These are Brazil, Colombia, Costa Rica, Dominican Republic, Ecuador, El Salvador, Mexico, Panama, Paraguay, Peru, and Uruguay. Furthermore, the explicit prioritisation of a ‘digital antitrust agenda’ by the competition agencies of Colombia, El Salvador, Mexico, and Peru may render additional cases soon.”)

[156] Andrés Fuchs & Nader Mufdi, Derecho de la Competencia y Regulación de Mercados Digitales: Desafíos y Propuestas para Latinoamérica, Diàlogos Cent. Competencia (Jul. 2021), at 12, available at https://centrocompetencia.com/wp-content/uploads/2021/07/Fuchs-y-Mufdi-Derecho-de-la-Competencia-y-Regulacion-de-mercado-digitales-Desafios-y-Propuestas-para-Latinoamerica.pdf.

[157] Fixing Markets, Not Prices: Policy Options to Tackle Economic Cartels in Latin America and the Caribbean, World Bank (2021), at 8, available at https://documents1.worldbank.org/curated/en/148021625810668365/pdf/Fixing-Markets-Not-Prices-Policy-Options-to-Tackle-Economic-Cartels-in-Latin-America-and-the-Caribbean.pdf.

[158] Dictamen Firma Conjunta Número, Com. Nac. Def. Competencia (2021), at 56, available at https://www.argentina.gob.ar/sites/default/files/2017/02/cond_1767.pdf.

[159] See Luiz Azevedo de Almeida Hoffmann & Rafael Rossini Parisi, Abuse of Dominance in Digital Markets – Contribution from Brazil (Session II, OECD Global Forum on Competition, Dec. 2020), available at https://cdn.cade.gov.br/Relatoriorios%20de%20gestao/2020/Cap.%201/Abuse%20of%20dominance%20in%20digital%20markets.pdf.

[160] See Administrative Inquiry No. 08700.005679/2016-13 (Braz.).

[161] See Administrative Proceeding No. 08012.0101483/2011-94 (Braz.).

[162] Almeida & Parisi, supra note 159, at 5.

[163] See Dirk Auer & Lazar Radic, The Legacy of Neo-Brandeisianism: History or Footnote?, Network L. Rev. (Jul. 9, 2024), https://www.networklawreview.org/auer-radic-brandeisianism. (“For example, in 2021 the UK created a “Digital Markets Unit” (DMU) within the Competition and Markets Authority, which is now charged with enforcing the DMCC. The DMU’s headcount is set to rise from 70 in 2022 to 200 by the end of 2024. For its part, the EU currently has 80 staff assigned to enforce the DMA.”)

[164] Latin America and the Caribbean Economic Review, April 2024 – Competition: The Missing Ingredient for Growth?, World Bank (Apr. 2024), at 48, available at https://openknowledge.worldbank.org/bitstreams/184bce21-8fec-4b14-acad-9ee256e7db93/download.

[165] OECD Economic Surveys: Peru 2023, Organ. Econ. Co-Oper. Dev. (2023), at 62, https://doi.org/10.1787/081e0906-en.

[166] World Bank, supra note 156, at 49.

[167] OECD, supra note 34, at 4.

[168] Pau Castellas, Lucrecia Corvalan, & Facundo Rattel, Connectivity Gaps in Latin America. A Roadmap for Argentina, Brazil, Colombia, Costa Rica and Ecuador, GSMA Intell. (Mar. 2023), available at https://www.gsma.com/latinamerica/wp-content/uploads/2023/03/FINAL-Brechas-de-conectividad-en-America-Latina_-LONG-report-ENGLISH-DIGITAL-30-03-2023.pdf.

[169] OECD, supra note 26, at 98.

[170] Id. at 174.

[171] Id. at 175.

[172] Id.

[173] Id. at 126.

[174] OECD, supra note 57, at 13-14.

[175] Lotitto & Diaz, supra note 55, at 32

[176] Hernando De Soto, The Mystery of Capital: Why Capitalism Triumphs in the West and Fails Everywhere Else (2000), 223-224.

[177] Ease of Doing Business Rankings, World Bank (2020), available at https://archive.doingbusiness.org/content/dam/doingBusiness/pdf/db2020/Doing-Business-2020_rankings.pdf.

[178] OECD, supra note 157, at 1.

[179] Shaping the Digital Transformation in Latin America: Strengthening Productivity, Improving Lives, Organ. Econ. Co-Oper. Dev. (2019), at 8, available at https://read.oecd-ilibrary.org/science-and-technology/shaping-the-digital-transformation-in-latin-america_8bb3c9f1-en.

[180] Id.

[181] Id. at 29

[182] Id.

[183] Id. at 30.

[184] Id. at 59.

[185] Id. at 59.

[186] Most digital platforms, of course, are already available in Latin America, but do not necessarily serve Latin American markets at full capacity. Think, for example, of a marketplace that allows consumers to buy goods from vendors in the United States, but does has no logistics operations or relations with local vendors in the user’s country.

 

ICLE White Paper

Dirk Auer on Digital Competition in the EU

ICLE Director of Competition Policy Dirk Auer joined as a panelist in a webinar organized by ECIPE on platform regulation and merger policy in the EU, and the implications for member states’ attractiveness for digital investment. Video of the full panel is embedded below.

Presentations & Interviews

Gatekeeping, the DMA, and the Future of Competition Regulation

The European Commission late last month published the full list of its “gatekeeper” designations under the Digital Markets Act (DMA). Alphabet, Amazon, Apple, ByteDance, Meta, and Microsoft—the six designated gatekeepers—now have six months to comply with the DMA’s list of obligations and restrictions with respect to their core platform services (CPS), or they stand to face hefty fines and onerous remedies (see here and here for our initial reactions).

Read the full piece here.

TOTM

Regulatory Myopia and the Fair Share of Network Costs: Learning from Net Neutrality’s Mistakes

Abstract

Seeking to boost funding for the next generation of telecommunications infrastructure, European Union (EU) policymakers have proposed mandating that some large online platforms pay a special usage fee to network operators. Framed as a way to ensure that the largest users of internet infrastructure contribute their “fair share” to telecommunications networks, the proposal would be another unnecessary and harmful regulatory intervention. These comments paper seek to demonstrate that the fair-share debate itself is, in fact, the byproduct of an earlier intrusive government initiative: net-neutrality regulation. Like net neutrality’s anti-discrimination rules, a “fair share” tax would represent a solution that doesn’t work to a problem that doesn’t exist. Moreover, the debate reflects the EU’s fundamentally misguided inclination toward an industrial-policy approach to the digital transformation, built on the unsound belief that innovation can be delivered via regulation and by subsidizing legacy domestic firms with rents transferred from successful global players. Rather than continuing to interfere in market dynamics and private negotiations without any solid evidence of market failure, the EU should instead learn from its past mistakes and acknowledge the limited scope for regulation in these dynamic markets.

I. Introduction

“[W]e have a vision, and we have a goal,”[1] European Commissioner Thierry Breton said in a February 2023 speech in Helsinki announcing the launch of a public consultation on the future of connectivity and infrastructure in the European Union (EU).[2] The consultation’s stated goal is to keep pace with transformative technological developments and to make Europe a digital leader by boosting deployment of forward-looking telecommunications infrastructure. Toward this end, the European Commission argues, it is essential that the regulatory framework is fit for purpose, with adequate funding to support the required investments.[3]

Given that ambitious goal, these comments investigate the likelihood that this vision can become a reality.

As part of the 2030 Digital Decade policy program,[4] European policymakers are seeking a means to equip Europe with the next generation of connectivity infrastructure. The primary solution offered—one that has the backing of incumbent European telecom operators (telcos)—is to make some large online platforms (so-called “Big Tech”) contribute to the cost of telecom networks. The proposal has been justified on grounds that Big Tech firms use a large share of bandwidth, while the telcos have seen a decline in their returns on investment.[5]

Essentially, the proposal would constitute a direct welfare transfer from online content and application providers (CAPs) or over-the-top service providers (OTTs) to benefit telcos and other internet service providers (ISPs). This would be accomplished by setting a data-transmission threshold and charging CAPs a fee when they transmit data exceeding that threshold. Indeed, the questionnaire the Commission released as part of the public consultation does not ask whether such a levy is needed, but merely seeks input on how it should be structured.[6]

Unsurprisingly, telcos have described the fair-share tax as “a once in a lifetime opportunity to recover digital leadership in Europe.”[7] Telco operators argue that a few Big Tech firms generate a significant portion of all internet traffic, but do not adequately contribute to the development of such networks.[8] These concerns find support in the recent European Declaration on Digital Rights and Principles for the Digital Decade, which calls for a framework through which “all market actors benefiting from the digital transformation assume their social responsibilities and make a fair and proportionate contribution to the costs of public goods, services and infrastructures, for the benefit of all Europeans.”[9]

EU policymakers have also explored the need to encourage consolidation in the telecom industry in order to sustain investments that will stanch “Europe’s progressive technological decline.”[10] Under this vision, the path to promote investment and spur innovation in Europe’s digital future would be forged not only through rent transfers from CAPs to telcos, but also by defeating “excessive competition” in the telecom section.[11]

We argue here that the current debate stems, instead, from earlier invasive and unnecessary regulatory initiatives. Notably, the “fair share” proposal is the poison fruit of net-neutrality regulation, which has prevented telcos from monetizing their networks. In an alternative framework, the telecom sector could have instead been permitted to manage the transmission of content and services according to their value for end users, anticipated bandwidth use, or a host of other quality requirements upon which various CAPs depend.

Rather than acknowledging the limits of regulation, the fair-share proposal reflects the Commission’s persistent distrust of market forces and private-ordering mechanisms. Further, the debate represents just the latest instance of a more generalized EU industrial-policy approach to the digital transformation. This approach rests on the unsound belief that innovation can be delivered through regulation and by subsidizing legacy domestic EU firms through the transfer of rents from successful global players.

Having in this section provided an overview of the conflict between telecom operators and CAPs, Section II frames the “fair share” debate within the broader EU industrial-policy approach to the digital transformation, noting similarities with earlier efforts to support the EU’s audiovisual and publishing industries. Section III investigates the controversial relationship between “fair share” duties and net-neutrality rules. Section IV points out the limited role for regulation and the principles that should guide government intervention in fast-moving industries. Section V concludes.

II. A Solution in Search of a Problem

The 2030 Digital Decade policy program highlights the need to foster investment in high-speed telecommunications networks if the EU is to meet the connectivity targets established in the path to the digital transformation.[12]

Data traffic represents the critical determinant of telecom networks’ size and capacity. EU telcos claim, however, that exponential growth of internet traffic has left them unable to earn viable returns on network investments.[13] According to the telcos, traffic growth is disproportionately driven by a small number of OTTs, who provide relatively little direct economic contribution to network rollout.

According to a report for the European Telecommunications Network Operators Association (ETNO), just six firms generated roughly 56% of all network traffic, with Google accounting for 21%; Meta accounting for 15.4%; Netflix accounting for 9.4%; Apple accounting for 4.2%; Amazon accounting for 3.7%; and Microsoft accounting for 3.3%.[14] Further, a study conducted by Frontier Economics on behalf of Deutsche Telekom, Orange, Telefo?nica, and Vodafone estimated that traffic driven by OTTs could generate annual costs for EU telcos of €36 to 40 billion.[15] Such findings are often cited by telcos to make the case that OTTs are free riding on their network investments and need to be made to more equitably share the burden:

Digital platforms are profiting from hyper scaling business models at little cost while network operators shoulder the required investments in connectivity. At the same time our retail markets are in perpetual decline in terms of profitability.[16]

To address the concern of free riding, telcos have proposed a sending-party-network-pays system, which would mandate that the largest online platforms pay usage fees to compensate network operators.[17] In singling out the largest platforms for exceptional treatment, the proposal resembles how EU institutions already approach the regulation of “gatekeepers” under the Digital Markets Act (DMA) and “very large online platforms” under the Digital Services Act (DSA).[18] The proposal would establish a direct compensation mechanism, rather than private negotiations among the relevant parties, because it assumes that network operators are not positioned to negotiate fair terms with leading OTTs due to the latter’s alleged strong market positions, asymmetric bargaining power, and a lack of a level regulatory playing field.

The telcos point to the revenue and market capitalization enjoyed by the largest OTTs as demonstrating that the services Big Tech provides are essential for consumers.[19] But while the growth in traffic volume for the OTTs’ services creates additional costs for network operators, the telcos contend that they cannot respond to that growth in demand with higher retail prices, both because of strong competition in the retail telecommunications market and due to regulatory interventions at the wholesale level.[20] These factors, they contend, have created an uneven regulatory playing field between OTTs and telcos. Moreover, they argue that this uneven playing field has contributed to declining profit margins for telcos’ traditional retail revenue streams and that, consequently, telcos’ costs of capital are now higher than their returns on capital.

For their part, OTTs argue that they contribute to the internet ecosystem with investments in content-delivery networks and infrastructure—such as data centers, undersea cables, and satellites—and by creating content that is attractive to consumers, who in turn buy access from the ISPs to consume that content.[21] Therefore, they argue, it is the end users who generate traffic by consuming content, and they already pay ISPs through their subscriptions.

This debate over how network costs should be allocated is not new, and nor is the idea of a sending-party-network-pays system. The Body of European Regulators for Electronic Communications (BEREC) rejected a similar proposal 10 years ago, arguing that requests for dataflows stem not from content providers, but from retail ISPs’ own customers. BEREC further contended that increased demand for broadband access can be attributed to the success of content providers.[22]

Indeed, broadband networks are two-sided markets that bring together CAPs and end users. ISPs derive revenue from end users, who in turn pay for internet service to gain access to OTTs’ content. Since both sides of the market (content providers and end users) contribute to the cost of internet connectivity, BEREC found that “[t]here is no evidence that operators’ network costs are already not fully covered and paid for in the Internet value chain.”[23]

Further, BEREC acknowledged that the current “model has enabled a high level of innovation, growth in Internet connectivity, and the development of a vast array of content and applications, to the ultimate benefit of the end user.”[24] Therefore, “the nature of services to be delivered across the network, and the charging mechanisms applied to them, should continue to be left to commercial negotiations among stakeholders.”[25]

While prevailing internet traffic volumes are notably higher today than those observed a decade ago, it does not appear that BEREC regards the recent changes in traffic patterns as sufficient to modify its underlying assumptions regarding the sending-party-network-pays regime.[26] Indeed, in a recent preliminary assessment of a proposed direct compensation mechanism to benefit telcos, BEREC confirmed that it feels “the 2012 conclusions are still valid” and that the sending-party-network-pays model would provide ISPs “the ability to exploit the termination monopoly” and could be of “significant harm to the internet ecosystem.”[27]

BEREC also questioned the assumption that an increase in traffic directly translates into higher costs, noting that the costs of network upgrades necessary to handle increased traffic volumes are small relative to total network costs, and that upgrades come with significant increases in capacity.[28] In other words, BEREC found that rising traffic volumes do not directly lead to significant incremental costs relative to total network costs.[29]

Finally, BEREC once again found no evidence of free riding along the value chain,[30] finding that the IP-interconnection ecosystem remains largely competitive and that costs for internet connectivity are typically covered by ISPs’ customers.

It would be reasonable to assume that if there had been such a significant free-riding, this would have been reflected in ISPs financial statements and also in loss warnings.[31]

BEREC’s preliminary findings and continued skepticism of replacing freely negotiated internet interconnections with mandated network-usage fees are supported by studies that similarly find a lack of evidence of free riding;[32] report significant investments by CAPs to support network infrastructure;[33] and raise concerns about the potential side effects of a sending-party-network-pays model on the proper functioning of internet connectivity.[34]

A study conducted by WIK-Consult for the Federal Network Agency Germany (Bundesnetzagentur) confirmed that the IP-interconnection ecosystem is largely competitive and warned against the kinds of potential unintended consequences already seen in South Korea, the only country thus far that has mandated sending-party-network-pays billing.[35] South Korea provides a cautionary tale about the adverse effects that stem from interference in voluntary negotiations. Indeed, there is evidence that the competitive distortions between CAPs and ISPs generated by the Korean initiative had negative effects for consumers in terms of costs and the degradation of quality.[36]

Some EU member states have also been skeptical of telcos’ pleas and of the idea more generally that charging a toll on the internet is an appropriate strategy to promote network investments.[37] According to these members, the proposed “fair share” toll would pose considerable risks to the internet ecosystem and is likely to cause considerable harm to businesses and consumers. Indeed, as the envisaged data-transmission tax will affect the most popular services and content, a huge percentage of consumers are expected to bear the relative cost, as targeted OTTs eventually pass the new fees paid to ISPs downstream.[38] These concerns were expressed in a letter from Austria, Estonia, Finland, Germany, Ireland, and the Netherlands that urged the Commission to publish the Broadband Cost Reduction Directive (BCRD) review without discussion of the “fair share” debate.[39] In their view, while the revised BCRD should aim to accelerate the deployment of very high-capacity networks, the fair-share proposal is a distinct topic that requires a proper evidence-based assessment of its own merits.

A. Blaming and Taxing Digital Platforms

From a broader perspective, the “fair share” debate reflects the EU’s recent industrial-policy approach to the digital transformation.

The internet has deeply transformed traditional industries by favoring the emergence of new business models and creating opportunities for new players to enter those markets. Because of these challenges, some legacy incumbents struggle to keep pace with innovation and new forms of competition, disrupting entire industries. It is no secret that Europe has lagged behind in the digital economy and that established European companies have suffered most from the emergence of digital markets, as they have thus far been unable to develop competitive platform-based ecosystems.

Against this backdrop, European institutions have looked to subsidies as the solution to rescue some legacy players. Such interventions have been justified by policymakers on grounds of alleged market failures or the importance of public interests at stake. Such claims are not new, and public deliberation would ordinarily turn to evaluating whether the claimed market failures are real and whether the measures identified to promote future competition and innovation are effective. But EU policymakers have managed to evade such questions by insisting that the rescues they obviously seek not rely directly on subsidies from the European public.[40] Instead, the proposed subsidies would come from private, largely U.S.-based firms.

In sum, the manifesto for the new protectionist EU industrial policy is to “blame and tax Big Tech.” This narrative holds that the success of a few large online platforms is the cause of the purported market failures, and that it is therefore fair to tax their success and force them to share their profits.[41] The approach is shortsighted but, from the perspective of EU policymakers, certainly convenient.

The internet’s impact on business models is seen as particularly threatening to the media industry. In light of new technologies to transmit audiovisual-media services, European institutions argued for a regulatory framework that would ensure “optimal conditions of competitiveness” for European media and safeguard certain “public interests, such as cultural diversity.”[42]

The policy solutions identified by the revised Audiovisual Media Services (AVMS) Directive are twofold.[43] First, European works are required to represent at least 30% of on-demand audiovisual-media services’ catalogs, and the services are require to ensure the prominence of those works.[44] Second, to ensure adequate levels of investment in European works, EU member states are permitted to impose financial obligations (including requiring direct investments in content and mandated contributions to the national fund) on media-service providers established within their territory, or on the basis of revenues the providers generate from services that are provided in and targeted toward the member state’s territory.[45]

In other words, to counter U.S. platforms’ dominance in the European video-on-demand (VOD) market,[46] the new AVMS Directive targets large foreign companies by imposing content quotas and financial obligations under a regime that has been termed the “Netflix tax.”[47] While this protectionist intervention to rescue the European audiovisual market is ostensibly made in the name of the public interest, both of the envisaged measures more accurately reflect resentment of the global players’ success than they do concern for Europe’s noble cultural diversity.[48]

Shortly after the AVMS Directive’s enactment, taxing Big Tech also became the preferred solution to rescue the European publishing industry.[49] Seeking to address a purported gap in value between digital platforms and news publishers, the Directive on Copyright in the Digital Single Market granted the latter a right to control and receive compensation for the reproduction and availability of online summaries of their news articles.[50] Indeed, publishers claim that the sustainability of their entire industry has been jeopardized by the emergence of digital gatekeepers, which capture most of the advertising revenue without bearing the cost of the investments needed to produce news content. It is alleged that this unfair split of revenues is the result of asymmetric bargaining power, which makes it difficult for press publishers to negotiate with Big Tech on an equal footing.[51]

In sum, the news publishers’ case that free riding and asymmetry of bargaining power justify their request for revenue sharing are the same arguments used by telcos to support their own “fair share” proposal. The publishing industry’s struggles, however, started swell before the emergence of digital platforms. Newspapers’ business models were first hit by the advent of the internet, which changed consumption habits and enabled the growth of new forms of journalism.[52] Moreover, digital platforms arguably play a complementary role to news sites, as legacy publishers benefit from inbound links that drive audience traffic. Indeed, empirical evidence does not support the free-riding narrative.[53] It may be sound policy to support publishers in their digital transformation but, as argued some years ago, “[t]axing new digital players will not save press publishing industry and legacy business models.”[54]

Such findings also apply to the telcos. Indeed, as is evident from this brief analysis, there are strong similarities between the audiovisual market and the publishing industry when it comes to the fair share of network costs. All of these policy initiatives stem from European industries’ inability to keep the pace with the digital transformation that has been enhanced by the spread of high-speed internet. While the internet revolution has enabled the emergence of new global players, legacy European companies are struggling to adapt their business models and strategies in order to compete.

In this context, policymakers frequently invoke the need to protect public interests as justification for regulatory interventions they claim would correct purported market failures, but that instead merely alter the prevailing market dynamics. Indeed, protectionist interventions that impose financial obligations on successful players will not address the problems in question, and will therefore be ineffective at achieving the goal of closing the competition gap between European firms and the global players. Moreover, as discussed in the next section, taxing online providers in the telecommunications sector, specifically, would appear to be clearly at odds with the rationale that underlies European efforts to enforce the net-neutrality regulation.[55]

III. The Net-Neutrality Problem

The European Commission’s “fair share” proposal is of dubious compatibility with net neutrality, which was the flagship initiative delivered by the Commission in the previous political term. Indeed, the Commission has appeared anxious to reassure the public that there is no going back on net neutrality and that it remains “strongly committed” to protecting a neutral and open internet.[56] But there are manifest concerns that direct compensation from large OTTs to ISPs would endanger the principle of net neutrality.[57] Indeed, the fair-share proposal appears at odds with both the legal obligations of net neutrality and its underlying economic rationale.

Net neutrality has always been a particularly contentious topic, as confirmed by the transatlantic divergence on the topic. While the EU regulation remains in force, the U.S. Federal Communications Commission’s (FCC) 2015 Open Internet Order was repealed in 2018 by the superseding Restoring Internet Freedom Order.[58] The FCC reverted to its pre-2015 position, concluding that the benefits of a market-based, light-touch regime for internet governance outweigh those of utility-style, common-carrier regulation. Quoting then-FCC Chairman Ajit Pai, “there was no problem to solve. The Internet was not broken in 2015. We were not living in a digital dystopia.”[59]

Given the assumption that broadband providers enjoy endemic market power, a common feature of net-neutrality regulations is the imposition of non-discrimination rules that ensure all internet traffic is treated equally. As terminating-access monopolists, ISPs are deemed gatekeepers for edge providers that seek to reach their end-user subscribers—hence, they may discriminate against the former and impose restrictions on the latter. Toward this end, the 2015 Open Internet Order imposed three ex ante bright-line rules preventing U.S. ISPs from blocking content, throttling traffic, or discriminating against specific content for a fee (so-called “paid prioritization”).[60] These rules were predicated on the belief that there was a need to protect and promote openness, since “the Internet’s openness promotes innovation, investment, competition, free expression, and other national broadband goals.”[61]

In a similar vein, by establishing common rules to safeguard equal and non-discriminatory treatment of internet traffic, the EU Regulation pointed to the need to protect end-users and guarantee the continued functioning of the internet ecosystem as an engine of innovation:[62]

The internet has developed over the past decades as an open platform for innovation with low access barriers for end-users, providers of content, applications and services and providers of internet access services. … However, a significant number of end-users are affected by traffic management practices which block or slow down specific applications or services.[63]

Indeed, proponents of net neutrality typically claim that allowing ISPs to treat different CAPs differently through, e.g., paid prioritization would stifle innovation by hindering the entrance of new content providers. This, in turn, would negatively affect the welfare of end-users through rising subscription fees, less variety of content, and reduced quality of connections.[64] Opponents, on the other hand, question the very economic logic of net-neutrality regulation, maintaining that it would increase regulatory costs, dampen ISPs’ incentives to invest in broadband capacity, and harm both consumers and content providers.[65]

Moreover, these types of regulations explicitly prevent ISPs from bargaining with CAPs in ways that would allow ISPs to seek payment for excessive network usage. Thus, some substantial portion of the “problem” that “fair share” seeks to correct directly arises from telcos being constrained from arm’s-length negotiations with CAPs.

Net-neutrality opponents also contest the claim that ISPs have and use market power in ways that lead to market foreclosure, arguing that this is not supported by empirical evidence.[66] A related concern is that vertically integrated ISPs with market power could potentially self-preference their own content.[67] But even if a vertically integrated ISP had market power, it is not obvious that compromising the quality of content requested by end users would be profit maximizing.[68] That is, even in this extreme hypothetical, the threat of user defection because of degraded quality mutes or answers the concern.

More generally, the economic literature has stressed that the consequences of net-neutrality regulation depend on precise policy choices, how they are implemented, and how long-run economic trade-offs play out.[69] Strict net neutrality may lead to socially inefficient allocations of traffic, as well as traffic inflation. It would thereby harm efficiency by distorting both ISPs and content providers’ investments and service-quality choices.[70]

Given the ambiguous effects of net neutrality’s anti-discrimination rules, the most controversial issue concerns whether any value is added value by enforcing a net-neutrality regime through an ex ante regulatory ban, rather than traditional ex post case-by-case antitrust enforcement.[71] Indeed, net neutrality introduces a blanket ban of practices that would not be per se antitrust violations.[72] Notably, net neutrality de facto prevents broadband providers from introducing vertical contractual restraints, which have typically proven to be welfare enhancing more often than anticompetitive.[73] Therefore, there is a risk that, in the name of leveling the playing field, net neutrality focuses on competitor welfare rather than consumer welfare.[74] In sum, given the ambiguous welfare effects of discrimination, it is impossible to establish in advance whether the purported exclusionary effects outweigh their potential procompetitive benefits. Hence, there is no economic support for an ex ante absolute prohibition.

The “fair share” solution of taxing Big Tech to fund broadband-network improvements also appears to violate both the economic rationale for and legal obligation of equal treatment under net neutrality. By only imposing fees on OTTs that transmit data exceeding a certain threshold, the “fair share” proposal clearly discriminates against some online services and content—that is, the largest ones. With regard to the economic rationale, net neutrality has been justified on the grounds that broadband providers enjoy endemic market power as terminating-access monopolies. It would therefore be strange to impose an intervention to restore “fairness” in the relationship between network operators and content providers on the premise that the former suffers from an asymmetry of bargaining power. Indeed, under EU net-neutrality rules, ISPs are assumed to have insurmountable bargaining power, even though the “fair share” proposal presumes them to be powerless before Big Tech.

Indeed, as noted above, net neutrality is a primary driver of the current “fair share” debate. Allowing paid prioritization between ISPs and CAPs likely would have prevented the emergence of these claims. Indeed, it could be argued that, on the one hand, net neutrality has tilted the balance in favor of large OTTs[75] and, on the other hand, paid prioritization would be the efficient market answer to different content offerings.

Notably, conventional economic principles justify vertical restraints and discriminatory practice, as online content varies in terms of value for consumers, bandwidth use, and quality requirements.[76] Indeed, as was raised years ago during the U.S. net-neutrality debate, a ban on paid prioritization is inconsistent with a well-developed body of literature showing that it is impossible to determine ex ante whether any specific instance of paid prioritization will have positive or negative effects for consumers.[77] Moreover, restraints on prioritization are likely to thwart a range of welfare-increasing business models on the internet and to chill further pricing innovations.[78]

Therefore, the fair-share proposal struggles to address the same fundamental question already raised in the case of net neutrality: whether a regulatory intervention is justified in the first place.

IV. Regulatory Humility and Lessons Unlearned

According to the economic literature, regulatory intervention is only justified under limited circumstances. The case for regulation is best substantiated where it can correct market failures, such as when free and unrestricted competition is unable to allocate resources efficiently.[79] Even under the romantic assumption that regulation serves consumers’ interests and policymakers have sufficient information and enforcement powers to both promote the public interest and maximize social welfare, the primary focus of regulation will still be to tackle market failures.[80]

Outside those examples of market failure, effective competition is commonly accepted to be the best regulator, as it has been empirically demonstrated to lead to lower prices, better quality, and greater innovation.[81] Without a proper justification, regulation negatively interferes in market dynamics by generating inefficiencies, introducing artificial barriers to entry, and deterring technological innovation.

Calibrating regulation is extremely difficult. Although regulation is expected to be forward-looking, it may lack flexibility, and the imposition of rigid sets of rules can risk enshrining a static view of the market at the expense of its dynamic evolution. Moreover, consistent with both private-interest and public-choice theory, government intervention is often prone to capture by special interests, rather than promoting general social welfare.

Although these are limits of regulation generally, they are particularly critical in fast-moving industries, where it is challenging to design a future-proof framework.[82] Therefore, especially when dealing with digital transformations, it is appropriate to embrace regulatory humility, acknowledge the inherent limits of regulation, and refrain either from picking winners and losers in the marketplace or from preemptively intervening in the absence of solid evidence of market failure and consumer harm.[83] Notably, the market-failure approach assumes that government activity should be limited to the minimal amount of intervention sufficient to correct for specific failures.[84]

Further, interventions to correct market failures should neither require nor assume a particular technology. This would ensure much-needed flexibility to adapt the rules to rapidly changing realities, thus avoiding early obsolescence. It would also avoid the weaponization of regulation to protect incumbents’ market position by freezing investments and hindering the development of new technologies. In sum, the principles of minimal and technologically neutral intervention reflect a light-touch approach of regulatory self-restraint, with awareness that the market is generally better suited to promote innovation and that regulation scores poorly on dealing with the unexpected.

The EU’s net-neutrality rules departed from the principles of self-restraint and technological neutrality.[85] Despite the fact that there was no discernible evidence of a market failure, EU policymakers chose to interfere with the management of internet traffic. Moreover, they did so by imposing an outright ban on common marketplace practices whose effects are at least ambiguous, and hence deserving of case-by-case assessment. As a result, net neutrality picked winners (OTTs) and losers (ISPs). At the time, academics and other experts warned against the adoption of rigid regulation, which by definition cannot aspire to be future-proof and is apt to capture the dynamics of industries characterized by rapid innovation.[86]

Indeed, net neutrality did not anticipate the rise of OTT services. A fascinating slogan has apparently proven to be more influential than economic principles and reality. And now, “fair share” advocates want the EU to step into the breach created by net-neutrality regulation and impose further (likely inefficient) levies on Big Tech. The more rational course would be to reconsider the nature of net neutrality’s non-discrimination principles in the first place. Alas, the “fair share” proposal in fact shares several features with net-neutrality regulation, demonstrating that, rather than learn from previous mistakes, European institutions are ready to repeat them. In particular, the proposal at issue does not square with economics.

Indeed, the economic justification for the regulatory intervention is missing, as there is no evidence of a market failure to address. Quite the opposite, according to BEREC.[87] The current model has fostered innovation, growth in internet connectivity, and the development of a vast array of content and applications. In other words, it has generated significant benefits for end users. The increase in traffic volume has not altered this fundamental reality and the IP-interconnection ecosystem largely remains highly competitive. At the same time, there is no evidence of free riding by CAPs along the value chain. As a result, the adoption of a sending-party-network-pays model would represent an unwarranted threat to the internet ecosystem that would generate costs with little or no countervailing benefits.

It is even questionable whether increases in internet traffic have resulted in higher costs for the telcos, who also benefit from the demand for broadband access that has been driven by the success of OTTs’ content and services.[88] More generally, it is not clear how punishing the success of some OTTs would promote investment and innovation in the broadband market.

Further, rather than abiding by the principle of minimal intervention, the proposal would interfere with market dynamics by substituting a direct-compensation mechanism for private negotiations. The justification advanced for such an invasive intervention is the alleged asymmetry of the telcos’ bargaining position vis-à-vis large OTTs. The assertion is that OTTs enjoy this disproportionate bargaining position because of their market power and an uneven regulatory playing field. Leaving aside the inherent knowledge problem in a central regulator deciding how dynamic data flows should be valued, this explanation is at odds with the primary assumption of net neutrality—that the telcos play a gatekeeper role because of their control of access to the internet. In reality, both Big Tech and the ISPs are sufficiently competent parties that they should be able to negotiate mutually beneficial business terms among themselves.

If telcos face an uneven regulatory playing field, it is precisely because of net neutrality, which limits their ability to monetize their networks by discriminating among content and applications. Rather than acknowledge that interfering with market forces was the original mistake and that it is therefore time to restore private parties’ ability to freely negotiate the terms for content delivery, EU policymakers once again choose to blame the market.

If we acknowledge that internet traffic is generated by consumers (rather than by OTTs), payments into a fund managed by the European Commission would have the same welfare implications as direct payments.[89] Given that everyone benefits from the internet, if there is a policy issue regarding financing the next generation of telecommunications infrastructure, it makes more sense for that to be financed out of a fund born through general taxation.

The proposed tax on Big Tech has been framed as ensuring that they pay their “fair share” of network costs. But fairness is in the eye of the beholder. The term is so vague that it inherently grants policymakers greater discretion and room for intervention, all in the name of a purportedly noble cause.[90] Unfortunately, regulations that aren’t supported by market-failure framework are doomed to be captured by private interests. From this perspective, the “fair share” proposal is, indeed, consistent with public-choice theories of regulation that regard it as a rent-seeking device to benefit a small group of incumbents at the expense of rivals and consumers.

V. Conclusion

According to an old saying, history tends to repeat itself. This result is avoidable only if we learn from our mistakes.[91] Looking at the “fair share” debate, European institutions appear condemned to repeat the past.

When it comes to technology and innovation, Europe systematically lags behind the United States and China. In the best-case scenario, it is catching up, but there is a significant gap to close. This picture is captured by various proxies of technological progress, such as the number of patents, the amount of R&D expenditure, the amount of private investment in artificial intelligence, the location of so-called “unicorn” firms, and the number of leading research institutions in high-tech fields.[92]

There is another digital-economy scoreboard, however, on which Europe is the clear frontrunner. Namely, Europe celebrates its position as the leading regulator of digital markets.[93] Indeed, in less than a decade, Europe has delivered the GDPR, the DMA, the DSA, and countless data-sharing initiatives. Indeed, it would appear that regulation is at least a partial cause of the EU’s poor results in the digital economy. After all, EU policymakers’ primary concern should be to ensure that the regulatory framework is fit for purpose. But over the past decade, when the expected results didn’t arise or when there were unintended consequences, rather than question the treatment, EU policymakers routinely have suggested increasing the dosage.

Against this background, the idea of introducing a tax on CAPs to boost investments in the next generation of telecommunications infrastructure could be just considered another piece of the jigsaw.

However, it is worth remembering that the diminished bargaining position that telcos have vis-à-vis online platforms is the result of another EU regulation. Indeed, without the net-neutrality ban on paid prioritization, telcos would have been free to negotiate differentiated terms for the delivery of OTTs’ content and services. OTTs could have been charged according to bandwidth usage, through side payments for setting up optimized network nodes, or through any number of other mutually beneficial business arrangements.

Further, the proposal contradicts the central premise of net neutrality, which was that broadband providers’ position as internet gatekeepers threatens OTTs and end users. But rather than acknowledge the mistakes of that earlier unnecessary and myopic intervention, the EU is supporting another shortsighted initiative that would be at odds with the economic rationale and the legal provisions of current internet regulation.

Again, as BEREC stated in 2012, the internet “has developed well without regulatory intervention, through stakeholders’ coordination in the free market. Its ability to evolve over time and self-adapt has been key to its growth and success.”[94] More recently, this message has been reiterated, emphasizing that “[t]he internet’s ability to self-adapt has been and still is essential for its success and its innovative capability.”[95]

There was no evidence of market failure to justify net neutrality, and there isn’t a market failure to justify imposing a “fair share” tax for network costs. Therefore, like net-neutrality anti-discrimination rules, mandating some large online platforms to compensate network operators with a usage fee would be a solution that wouldn’t work to a problem that doesn’t exist.[96]

The “fair share” proposal also reflects another pattern of recent EU industrial policy already seen in the audiovisual and publishing industries. As the digital revolution challenges existing business models, thus requiring a radical transformation of entire economic sectors, some incumbents suffer in adapting to the new environment, which requires facing new rivals but also taking advantages of new opportunities. This is part of the natural evolution of the market, where the disruptive force of innovation is generally welcome.

The EU is, instead, apparently concerned about the welfare of some legacy incumbents, especially if they are EU-born companies. As a result, market dynamics are once again threatened by regulatory interventions that impose financial obligations on successful online (and largely foreign) players. Such protectionist initiatives are at odds with the fundamental principle of competitive neutrality, according to which governments actions should ensure that all enterprises face a level playing field, irrespective of factors such as their ownership, location, or legal form.[97] Moreover, they have already proven to be an ineffective means to help companies in reinventing themselves and filling their competitive gap.

In sum, the EU not only assumes that it could lead and deliver innovation through regulation, but also that an industry’s digital transformation could be achieved by subsidizing legacy homegrown companies with welfare transfers from successful foreign players.

Such a vision does not live up to the ambitious goals of the 2030 Digital Decade. Insofar as Europe will be a place where innovation is regulated, rather than invented, there will be no chance to reverse its technological decline and recover digital leadership. Taxing Big Tech will not make Europe great again.

[1] Thierry Breton, Getting Europe Ready for the Next Generation of Connectivity Infrastructure, European Commission (Feb. 6, 2023), https://ec.europa.eu/commission/presscorner/detail/en/SPEECH_23_623.

[2] See Press release, Commission Presents New Initiatives, Laying the Ground for the Transformation of the Connectivity Sector in the EU, European Commission (Feb. 23, 2023), https://ec.europa.eu/commission/presscorner/detail/en/ip_23_985.

[3] Exploratory Consultation – The Future of the Electronic Communications Sector and Its Infrastructure, European Commission (Feb. 23, 2023), https://digital-strategy.ec.europa.eu/en/consultations/future-electronic-communications-sector-and-its-infrastructure (paras. 2.1 and 2.3, quantifying investment needs until 2030 of about 174 billion euros).

[4] Decision (EU) 2022/2481 of the European Parliament and of the Council Establishing the Digital Decade Policy Programme 2030 (Dec. 14, 2022), OJ L 323/4; see also, 2030 Digital Compass: The European Way for the Digital Decade, European Commission (Jan. 26, 2023), COM/2021/118 final.

[5] Breton, supra note 1; see European Commission, supra note 3, para 2.3, reporting that “some European providers of electronic communication networks and services, especially incumbents, claim that they suffer from a decreasing market valuation and lower return on investment, especially when compared to companies in the US.” The European Commission also mentioned that telcos’ claims regarding declining margins and rising costs are stem from current uncertainties (including high inflation, rising interest rates, and geopolitical tensions) that have led capital markets to focus on assets with better short-term returns and profitability and to prefer solutions that protect them from demand risk.

[6] This was also the opinion expressed by the German secretary at the Ministry for Digital Affairs and Transport (BMDV); see Christian Zentner, Kritik an Geplanter „Zwangsabgabe“ für Netflix und Co, Bundestag (March 2, 2023), https://www.bundestag.de/presse/hib/kurzmeldungen-936322 (finding the questionnaire to be “slightly tendentious”).

[7] Carlos Rodri?guez Cocina, You Have Not Seen This Movie Before: Fair Share Is Not a Remake, Telefónica (March 10, 2023), https://www.telefonica.com/en/communication-room/blog/you-have-not-seen-this-movie-before-fair-share-is-not-a-remake.

[8] Europe’s Internet Ecosystem: Socio-Economic Benefits of a Fairer Balance Between Tech Giants and Telecom Operators, Axon Partners Group Consulting (May 11, 2022), https://axonpartnersgroup.com/europes-internet-ecosystem-socio-economic-benefits-of-a-fairer-balance-between-tech-giants-and-telecom-operators (report prepared for the European Telecommunications Network Operators’ Association); Estimating OTT Traffic-Related Costs on European Telecommunications Networks, Frontier Economics (April 7, 2022), available at https://www.telekom.com/resource/blob/1003588/384180d6e69de08dd368cb0a9febf646/dl-frontier- g4-ott-report-stc-data.pdf (report for Deutsche Telekom, Orange, Telefonica, and Vodafone); see also, European Commission, supra note 3, Section 4 (describing the phenomenon as a “paradox” between increasing volumes of data on the infrastructures and alleged decreasing returns and appetite to invest in network infrastructure).

[9] European Declaration on Digital Rights and Principles for the Digital Decade, European Commission (2022), 28 final, 3.

[10] Alan Burkitt-Gray, Vestager Calls for EU to Centralise and Consolidate Telecoms, Capacity (Jan. 31, 2023) https://www.capacitymedia.com/article/2b7xs7payiktkefkh1hj4/news/vestager-calls-for-eu-to-centralise-and-consolidate-telecoms; see also, Breton, supra note 1.

[11] Id.

[12] Supra note 4.

[13] See, CEO Statement on the Role of Connectivity in Addressing Current EU Challenges (Sep. 26, 2022), available at https://etno.eu//downloads/news/ceo%20statement_sept.2022_26.9.pdf; see also, United Appeal of the Four Major European Telecommunications Companies (Feb. 14, 2022),  https://www.telekom.com/en/company/details/united-appeal-of-the-four-major-european-telecommunications-companies-646166.

[14] Axon, supra note 8; see also, 2023 Global Internet Phenomena Report, Sandvine (Jan. 2023) https://www.sandvine.com/global-internet-phenomena-report-2023-download?submissionGuid=7b66978f-d664-4f10-b50b-28a48700788f.

[15] Frontier Economics, supra note 8.

[16] United Appeal, supra note 13.

[17] Axon, supra note 8.

[18] Regulation (EU) 2022/1925 on Contestable and Fair Markets in the Digital Sector and Amending Directives (EU) 2019/1937 and (EU) 2020/1828 (Digital Markets Act), (2022) OJ L 265/1; Regulation (EU) 2022/2065 on a Single Market for Digital Services and Amending Directive 2000/31/EC (Digital Services Act), (2022) OJ L 277/1.

[19] Axon, supra note 8, 18.

[20] Id.

[21] See, e.g., Doing Our Part: How Google’s Network Helps Internet Content Reach Users, Google (Apr. 20, 2022) https://cloud.google.com/blog/products/infrastructure/google-network-infrastructure-investments; Network Fee Proposals Are Based on a False Premise, Meta (Mar. 23, 2023), https://about.fb.com/news/2023/03/network-fee-proposals-are-based-on-a-false-premise.

[22] BEREC’s Comments on the ETNO Proposal For ITU/WCIT Or Similar Initiatives Along These Lines, BoR(12) 120, Body of European Regulators for Electronic Communications (2012), 3; Report on IP-Interconnection Practices in the Context of Net Neutrality, BoR (17) 184, Body of European Regulators for Electronic Communications (2017), (finding the internet-protocol-interconnection market to be competitive); Neelie Kroes, Adapt or Die: What I Would Do If I Ran a Telecom Company (Oct. 1, 2014), https://ec.europa.eu/commission/presscorner/detail/de/SPEECH_14_647 (arguing that OTTs are driving digital demand: “[EU homes] are demanding greater and greater bandwidth, faster and faster speeds, and are prepared to pay for it. But how many of them would do that if there were no over the top services? If there were no Facebook, no YouTube, no Netflix, no Spotify?”); see also, Proposals for a Levy on Online Content Application Providers to Fund Network Operators. An Economic Assessment Prepared for the Dutch Ministry of Economic Affairs and Climate, Oxera (Feb. 27, 2023), 19, available at https://open.overheid.nl/documenten/ronl-8a56ac18a98a337315377fe38ac0041eb0dbe906/pdf, (noting that the cause of the traffic is the consumer’s initial request rather than the CAP’s fulfilment of that request).

[23] BEREC 2012, supra note 22, 4; see also, Oxera, supra note 22, 14 (arguing that there is no clear evidence that the absence of charging CAPs means that telcos are unable to raise revenues and cover their costs).

[24] BEREC 2012, supra note 22, 4.

[25] Id., 1.

[26] BEREC Preliminary Assessment of the Underlying Assumptions of Payments from Large CAPs to ISPs, BoR (22) 137, Body of European Regulators for Electronic Communications (2022), 4.

[27] Id., 4-5.

[28] Id., 7-8 (“BEREC considers in this regard the incremental costs necessary for the upgrade in capacity on a given network to handle more incoming traffic. These costs can incorporate to some extent technological upgrades as far as they are relevant for solving capacity issues. These costs have to be differentiated from the total network costs, which are mostly coverage costs.”).

[29] Id., 9

[30] Id., 11-14.

[31] Id., 13; see also, Plans for Charging Internet Toll by Large Telecom Companies Feared to Have Major Impact on European Consumers and Businesses, Government of the Netherlands (Feb. 27, 2023), https://www.rijksoverheid.nl/documenten/publicaties/2023/02/27/plans-for-charging-internet-toll-by-large-telecom-companies-feared-to-have-major-impact-on-european-consumers-and-businesses (arguing that “the large telecom operators seem to forget that consumers already pay for their Internet traffic, through their Internet subscription. The plea for an Internet toll actually implies that large telecom operators want to get paid twice.”).

[32] David Abecassis, Michael Kende, & Guniz Kama, IP Interconnection on the Internet: A European Perspective for 2022, Analysys Mason (Sep. 26, 2022), https://www.analysysmason.com/consulting-redirect/reports/ip-interconnection-european-perspective-2022; Volker Stocker & William Lehr, Regulatory Policy for Broadband: A Response to the “ETNO Report’s” Proposal for Intervention in Europe’s Internet Ecosystem, SSRN (Oct. 16, 2022), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4263096; Brian Williamson, An Internet Traffic Tax Would Harm Europe’s Digital Transformation, Communications Chambers (Jul. 2022), available at https://lisboncouncil.net/wp-content/uploads/2022/07/COMMUNICATIONS-CHAMBERS-Internet-Traffic-Tax-2.pdf.

[33] David Abecassis, Michael Kende, & Shahan Osman, The Impact of Tech Companies’ Network Investment on the Economics of Broadband ISPs, Analysys Mason (Oct. 12, 2022), https://www.analysysmason.com/consulting-redirect/reports/internet-content-application-providers-infrastructure-investment-2022.

[34] See, e.g., Connectivity Infrastructure and the Open Internet, BEUC: The European Consumer Organisation (Sep. 16, 2022), available at https://www.beuc.eu/sites/default/files/2022-09/BEUC-X-2022-096_Connectivity_Infrastructure-and-the_open_internet.pdf; Bijal Sanghani, Fair Share Debate and Potential Impact of SPNP on European IXPs and Internet Ecosystem, European Internet Exchange Association (Jan. 3, 2023), available at https://www.euro-ix.net/media/filer_public/1a/e4/1ae40d86-95ea-460a-920d-3b335c2439d4/spnp_impact_on_ixps_-_final.pdf.

[35] Karl-Heinz Neumann, et al., Competitive Conditions on Transit and Peering Markets, WIK-Consult (Feb. 28, 2022), available at https://www.bundesnetzagentur.de/EN/Areas/Telecommunications/Companies/Digitisation/Peering/download.pdf?__blob=publicationFile&v=1.

[36] Id., 36-38; see also Oxera, supra note 22, 28—33 (arguing that implementation of such a scheme would entail significant transaction and regulatory costs, as the regulator would be required to fulfil such recurring tasks as traffic analysis and verification, dispute settlement, and coordination with companies and other authorities).

[37] Government of the Netherlands, supra note 31; see also, Zentner, supra note 6 (stating that the telecommunications companies’ argument that such a levy would provide them with more money for network expansion does not hold water).

[38] Government of the Netherlands, supra note 31; Oxera, supra note 22 (predicting that only a limited portion of the additional revenue stream to telecom operators would be passed on to the internet subscribers in the form of slightly lower subscription fees, and that this would be offset by price increases from online services for subscriptions to, e.g., Spotify or Netflix more expensive).

[39] Call for Release of BCRD Revision – Refusal of Merge with Fair Share Debate, Austria, Estonia, Finland, Germany, Ireland, and the Netherlands (May 12, 2022), available at https://www.permanentrepresentations.nl/binaries/nlatio/documenten/publications/2022/12/05/call-for-release-of-bcrd-revision—refusal-of-merge-with-fair-share-debate/Call+for+release+of+BCRD+revision+-+Refusal+of+merge+with+fair+share+debate_def.pdf.

[40] See Breton, supra note 1 (arguing that the burden of financing connectivity infrastructure should not rest solely on the shoulders of member states or the EU budget).

[41] See Tobias Kretschmer, In Pursuit of Fairness? Infrastructure Investment in Digital Markets, SSRN (Sep. 20, 2022), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4230863 (arguing that a transfer from large OTTs to telcos would be equivalent to a tax on success and that this would appear to arbitrarily target a group of largely U.S.-based firms while letting at least partly European newcomers and/or smaller firms enjoy the same externalities at no cost).

[42] Directive 2010/13/EU on the coordination of certain provisions laid down by law, regulation or administrative action in Member States concerning the provision of audiovisual media services (Audiovisual Media Services Directive), [2010] OJ L 95/1, Recitals 4 and 12.

[43] Directive (EU) 2018/1808 amending Directive 2010/13/EU on the coordination of certain provisions laid down by law, regulation or administrative action in Member States concerning the provision of audiovisual media services (Audiovisual Media Services Directive) in view of changing market realities, [2018] OJ L 303/69.

[44] Id., Recital 35 and Article 13(1).

[45] Id., Recital 36 and Article 13 (2).

[46] For analysis of the EU market, see David Graham, et al., Study on the Promotion of European Works in Audiovisual Media Services, Attentional, KEA European Affairs, and Valdani Vicari & Associati (Aug. 28, 2020), https://digital-strategy.ec.europa.eu/en/library/study-promotion-european-works.

[47] See Sally Broughton Micova, The Audiovisual Media Services Directive: Balancing Liberalisation and Protection, E. Brogi & P.L. Parcu (eds.), Research Handbook on EU Media Law and Policy, Edward Elgar Publishing (2020), 264 (arguing that the AVMS Directive is a unique blend of the liberal-market approach typical of the EU’s single market and classic protectionism, stemming from a history of concern that American content and media services would dominate European screens, threatening its cultures and industries).

[48] Id.; see also Joe?lle Farchy, Gre?goire Bideau, & Steven Tallec, Content Quotas and Prominence on VOD Services: New Challenges for European Audiovisual Regulators, 28 Int. J. Cult. Policy 419 (2022), (noting that the objective of cultural diversity contains a great ambiguity and that “[b]eyond the incantatory discourse on the expected benefits of cultural diversity, the notion is in fact complex, and refers to multiple, sometimes contradictory aspects.”).

[49] On the dispute between news publishers and digital platforms, see Giuseppe Colangelo, Enforcing Copyright Through Antitrust? The Strange Case of News Publishers Against Digital Platforms, 10 J. Antitrust Enforc. 133 (May 10, 2021); Giuseppe Colangelo & Valerio Torti, Copyright, Online News Publishing and Aggregators: A Law and Economics Analysis of the EU Reform, 27 Int. J. Law Inf. Technol. 75 (Jan. 11, 2019).

[50] Directive (EU) 2019/790 of 17 April 2019 on copyright and related rights in the Digital Single Market and amending Directives 96/9/EC and 2001/29/EC, [2019] OJ L 130/92, Article 15.

[51] Id., Recitals 54 and 55.

[52] See, e.g., The Evolution of News and the Internet, Organisation for Economic Co-operation and Development (Jun. 11, 2010), available at https://www.oecd.org/sti/ieconomy/45559596.pdf; Potential Policy Recommendations to Support the Reinvention of Journalism, U.S. Federal Trade Commission (Jun. 2010), available at https://www.ftc.gov/sites/default/files/documents/public_events/how-will-journalism-survive-internet-age/new-staff-discussion.pdf; Bertin Martens, et al., The Digital Transformation of News Media and the Rise of Disinformation and Fake News – An Economic Perspective, Joint Research Center (Apr. 25, 2018), available at https://joint-research-centre.ec.europa.eu/system/files/2018-04/jrc111529.pdf; Martin Senftleben, et al., New Rights or New Business Models? An Inquiry into the Future of Publishing in the Digital Era, 48 IIC 538 (2017).

[53] Colangelo-Torti, supra note 49.

[54] Id., 90.

[55] Regulation (EU) 2015/2120 laying down measures concerning open internet access and amending Directive 2002/22/EC on universal service and users’ rights relating to electronic communications networks and services and Regulation (EU) No 531/2012 on roaming on public mobile communications networks within the Union, (2015) OJ L 310/1.

[56] European Commission, supra note 2.

[57] Government of the Netherlands, supra note 31; BEREC, supra note 26, 5.

[58] Restoring Internet Freedom Order, Federal Communications Commission (2018) 33 FCC Rcd 311.

[59] Ajit Pai, FCC Releases Restoring Internet Freedom Order, Federal Communications Commission (Jan. 4, 2018) 1, https://www.fcc.gov/document/fcc-releases-restoring-internet-freedom-order/pai-statement.

[60] Open Internet Order, Federal Communications Commission (2015), 30 FCC Rcd 5601.

[61] Id., 5625-26.

[62] Regulation (EU) 2015/2120, supra note 55, Recital 1.

[63] Id., Recital 3.

[64] See, e.g., Barbara van Schewick, Towards an Economic Framework for Network Neutrality Regulation, 5 JTHTL 329, (2006)

[65] See, e.g., Michael L. Katz, Wither U.S. Net Neutrality Regulation?, 50 Rev. Ind. Organ. 441 (2017), (finding substantial tension between the regulation and the objective of promoting consumer choice and sovereignty, and noting that the internet has never been, and is not designed to be, neutral); Christopher S. Yoo, Beyond Network Neutrality, 19 JOLT 1 (2005), (considering network neutrality a misnomer that may reinforce sources of market failure in the last mile and dampen incentives to invest in alternative network capacity) Wolfgang Briglauer, et al., Net neutrality and High?Speed Broadband Networks: Evidence from OECD Countries, Eur. J. Law Econ. (forthcoming), (finding empirical evidence that net-neutrality regulations exert a significant and strong negative impact on fiber investments); Marc Bourreau, Frago Kourandi, & Tommaso Valletti, Net Neutrality with Competing Internet Platforms, 63 J Ind Econ 30 (2015), (noting that, in a model with competing ISPs—rather than a monopolistic market structure—a switch from the net-neutrality regime to the alternative discriminatory regime would be bene?cial in terms of investments, innovation, and total welfare).

[66] See, e.g., Katz, supra note 65, 450;

Thomas W. Hazlett & Joshua D. Wright, The Effect of Regulation on Broadband Markets: Evaluating the Empirical Evidence in the FCC’s 2015 “Open Internet” Order, 50 Rev. Ind. Organ. 487 (2017); Maureen K. Ohlhausen, Antitrust Over Net Neutrality: Why We Should Take Competition in Broadband Seriously, 15 Colorado Technology Law Journal 119 (2016); Timothy J. Tardiff, Net Neutrality: Economic Evaluation of Market Developments, 11 J. Competition Law Econ. 701 (2015); Gerald R. Faulhaber, The Economics of Network Neutrality, Regulation 18 (2011-12).

[67] Pietro Crocioni, Net Neutrality in Europe: Desperately Seeking a Market Failure, 35 Telecomm Policy 1, (2011) 6-7; see also, Zero-Rating Practices in Broadband Markets, DotEcon, Aetha Consulting, and Oswell and Vahida, (Feb. 2017), available at https://ec.europa.eu/competition/publications/reports/kd0217687enn.pdf.

[68] See Crocioni, supra note 67 (arguing that even a monopolist ISP may benefit from valuable complements and be better off charging a higher price for internet access, instead of trying to force customers onto its own services); see also Ohlhausen, supra note 66; Faulhaber, supra note 66.

[69] Shane Greenstein, Martin Peitz, & Tommaso Valletti, Net Neutrality: A Fast Lane to Understanding the Trade-offs, 30 JEP 127 (2016); see also Sébastien Broos & Axel Gautier, The Exclusion of Competing One-Way Essential Complements: Implications for Net Neutrality, 52 Int. J. Ind. Organ. 358 (2017), (showing that, even in monopoly and duopoly, imposing net neutrality does not always improve welfare).

[70] Joshua Gans & Michael L. Katz, Weak Versus Strong Net Neutrality: Corrections and Extensions, 50 J. Regul. Econ. 99 (2016); Martin Peitz & F. Schuett, Net Neutrality and Inflation of Traffic, 46 Int. J. Ind. Organ. 16 (2016).

[71] See, e.g., A. Douglas Melamed & Andrew W. Chang, What Thinking About Antitrust Law Can Tell Us About Net Neutrality, 15 Colorado Technology Law Journal 93 (2016); Ohlhausen, supra note 66.

[72] A good example is provided by the treatment of zero-rating offers. For an analysis, see Giuseppe Colangelo & Valerio Torti, Offering Zero-Rated Content in the Shadow of Net Neutrality, 5 Market and Competition Law Review 141 (2021); see also Pablo Iba?n?ez Colomo, Future-Proof Regulation Against the Test of Time: The Evolution of European Telecommunications Regulation, 42 Oxf. J. Leg. Stud. 1170 (2022), 1187-188 (noting that the very practices that are problematic from a net-neutrality perspective are healthy expressions of competitive markets; hence, absent a finding of significant market power, there is no support for a preemptive ban of vertical integration, exclusivity agreements, and other practices that have an equivalent object and/or effect: these practices are routinely examined by competition authorities and careful case-by-case evaluation has long been deemed appropriate for them).

[73] See, e.g., Katz, supra note 65; Ohlhausen, supra note 66; Joshua D. Wright, Net Neutrality: Is Antitrust Law More Effective than Regulation in Protecting Consumers and Innovation?, U.S. House Judiciary Subcommittee on Regulatory Reform, Commercial and Antitrust Law (Jun. 20, 2014), https://www.ftc.gov/legal-library/browse/prepared-statement-commissioner-joshua-d-wright-net-neutrality-antitrust-law-more-effective; Christopher S. Yoo, What Can Antitrust Contribute to the Network Neutrality Debate?, 1 Int. J. Commun. 493 (2007).

[74] Katz, supra note 65, 454.

[75] Irene Comeig, Klaudijo Klaser, & Luci?a D. Pinar, The Paradox of (Inter)net Neutrality: An Experiment on Ex-Ante Antitrust Regulation, 175 Technol Forecast Soc Change 121405. (2022).

[76] Ohlhausen, supra note 66, 137.

[77] See Justin (Gus) Hurwitz, et al., Amicus Curiae Brief in U.S. Telecom Association et al. v. FTC, International Center for Law & Economics (Aug. 6, 2015), available at  http://laweconcenter.org/images/articles/icle_oio_amicus_filed.pdf.

[78] Geoffrey Manne, et al., Policy Comments in the Matter of Protecting and Promoting the Open Internet, International Center for Law & Economics and TechFreedom (Jul. 17, 2014), available at https://laweconcenter.org/wp-content/uploads/2017/08/icle-tf_nn_policy_comments.pdf.

[79] Richard Baldwin, Martin Cave, & Martin Lodge, Understanding Regulation, Oxford University Press (2012).

[80] William J. Baumol, Welfare Economics and the Theory of the State, Harvard University Press (1952).

[81] Regulation and Competition. A Review of the Evidence, UK Competition and Markets Authority (2020), https://www.gov.uk/government/publications/regulation-and-competition-a-review-of-the-evidence, paras. 1.3 and 2.4,.

[82] Colomo, supra note 72.

[83] See Ajit Pai, Remarks at the 18th Global Symposium for Regulators, Federal Communications Commission (Jul. 10, 2018), https://www.fcc.gov/document/chairman-pai-remarks-global-symposium-regulators-geneva; Maureen K. Ohlhausen, Regulatory Humility in Practice, Federal Trade Commission (Apr. 1, 2015), available at https://www.ftc.gov/system/files/documents/public_statements/635811/150401aeihumilitypractice.pdf.

[84] Baldwin, Cave, & Lodge, supra note 79.

[85] See also Colomo, supra note 72.

[86] See, e.g., Melamed & Chang, supra note 71; Ohlhausen, supra note 66; Bruce M. Owen, Net Neutrality: Is Antitrust Law More Effective than Regulation in Protecting Consumers and Innovation?, U.S. House Judiciary Subcommittee on Regulatory Reform, Commercial and Antitrust Law (Jul. 8, 2014), https://ssrn.com/abstract=2463823.

[87] BEREC, supra note 26.

[88] Id.

[89] See also Oxera, supra note 22, 34 (arguing that the fund would still lead to a transfer of money from one group to another and would not lead to substantially lower transaction costs).

[90] Giuseppe Colangelo, In Fairness We (Should Not) Trust. The Duplicity of the EU Competition Policy Mantra in Digital Markets, The Antitrust Bulletin (forthcoming).

[91] Paul Crampton, Striking the Right Balance Between Competition and Regulation: The Key Is Learning from Our Mistakes, APEC-OECD Co-operative Initiative on Regulatory Reform (Oct. 2002), available at https://www.oecd.org/regreform/2503205.pdf.

[92] For useful information about several key innovation indicators, such as the value of venture-capital deals, the number of science and technology clusters, and government budget allocations for research and development, see, Global Innovation Index 2022, World Intellectual Property Organization, https://www.wipo.int/global_innovation_index/en/2022; see also Riccardo Righi, et al., AI Watch Index 2021, Joint Research Centre (Mar. 20, 2022), https://publications.jrc.ec.europa.eu/repository/handle/JRC128744.

[93] See Margrethe Vestager, Tearing Down Big Tech’s Walls, Project Syndicate (Mar. 9, 2023), https://www.project-syndicate.org/commentary/eu-big-tech-legislation-digital-services-markets-by-margrethe-vestager-2023-03 (“We are proud that Europe has become the cradle of tech regulation globally.”).

[94] BEREC, supra note 22, 1.

[95] BEREC, supra note 26, 3.

[96] Ajit Pai, The FCC and Internet Regulation: A First-year Report Card, Federal Communications Commission (Feb. 26, 2016) https://www.fcc.gov/document/commissioner-pai-remarks-internet-regulation-first-year-report-card.

[97] See, Recommendation of the Council on Competitive Neutrality, Organisation for Economic Co-operation and Development (May 30, 2021), https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0462.

Written Testimonies & Filings

Should ASEAN Antitrust Laws Emulate European Competition Policy?

Unlike many other trading blocs (most notably the EU), the ASEAN nations are yet to agree upon a common, unified set of competition law provisions. Nevertheless, recent years have seen the ASEAN members embark upon various initiatives that seek to harmonize their competition regimes (though these stop well short of common rules). In 2016, for instance, the member states adopted the ASEAN Competition Action Plan (“ACAP”). Among other things, the plan seeks to ensure that all ASEAN states implement competition regimes that meet a set of minimal standards, and eventually to harmonize competition policy across the ASEAN region.

These ongoing efforts to modernize and harmonize ASEAN competition laws do not arise in a vacuum. Rather, they take place amid a longstanding effort by both the European Union and the United States to export their respective competition laws throughout the world:

The EU and the US . . . want the rest of the world to follow their respective regulatory models. Both jurisdictions have actively promoted their competition laws as “best practices” abroad, urging developed and developing countries alike to adopt domestic competition laws and build institutions to enforce them. They promote their models through a specialized network of competition regulators—the International Competition Network (ICN)—and also more general bodies—notably the Organization for Economic Cooperation and Development (OECD) and the United Nations Conference on Trade and Development (UNCTAD). They also employ bilateral tools in their promotion effort—including offering technical assistance to emerging competition law jurisdictions. In its trade agreements, the EU also explicitly conditions access to its markets on the adoption of a competition law, exporting its own law in the process, while the US relies primarily in its persuasive powers rather than on formal treaties in exporting its laws.

No doubt the EU and US competition regimes are the most developed and dominant exemplars; following the policies of one or both to some extent is virtually inevitable. But this raises a critical question: should the ASEAN countries attempt to mimic the competition regimes of other developed nations, notably those that are in force in the EU and the US? And, if so, which one of these regimes should they draw more inspiration from?

While we certainly do not purport to know what type of regime would best fit the idiosyncratic needs of the ASEAN countries, we seek to dispel the myth that the European model of competition enforcement would necessarily provide a superior blueprint. To the contrary, we show that the evolutionary, common-law-like regime that has emerged in the US has many strengths that are often overlooked by contemporary competition policy scholarship, and which might provide a particularly good fit for the economic and political realities of the ASEAN member states.

Our paper also falls squarely within a much broader debate. Over the past couple of years, there have been renewed calls for policymakers to reform existing competition regimes in order to better address the challenges that are, purportedly, posed by the emergence of the digital economy. This has notably resulted in a series of high-profile reports, papers, and draft legislation, concluding that more interventionist tools are required to effectively deal with competition issues in digital markets. The draft European Digital Markets Act, the US House Judiciary report on competition in digital markets, as well as the draft bill put forward by US Senator Amy Klobuchar all mark the culmination of this antitrust reform movement.

Although the connection is often implicit, these calls for reform ultimately seek to implement (and amplify) features that are currently at the forefront of European competition enforcement. Potential reforms thus include broadening the goals of competition policy, as well as relying more heavily on structural and behavioral presumptions (rather than outcome-oriented reasoning).

At times this desire to move closer to the EU model is more explicit. For example, writing in Vox, Matthew Yglesias ventured that “[o]ne idea [for remedying perceived problems with US antitrust] would be for the US to actually move to something more like the European system and abandon the consumer welfare standard.” In a similar vein, Bloomberg featured an article by economics writer Noah Smith heaping praise on the growing populist antitrust wave and its potential to roll back the consumer welfare standard. And, at least according to EU Commissioner Margrethe Vestager, the US executive branch agencies have expressed a “renewed deeper interest and curiosity as to what we are doing in Europe.”

In parallel to these calls for reform, scholars have also analyzed the evolution of competition legislation around the world (as well as regulation, more generally). These scholars observe that recent initiatives have tended to mimic the rules of the European Union, rather than the more laissez faire approach that is often associated with the US. This trend has been referred to as the “Brussels Effect.” Accordingly, these scholars predict a regulatory “race to the top”, where more stringent rules and regulations will become the norm. While ostensibly agnostic, this implicitly conveys a sense that “resistance is futile,” and that the European approach will inevitably continue to spread more rapidly than its US counterpart.

With these policy debates in mind, our paper argues that ASEAN member states should not be too quick to embrace the European model of competition enforcement – be it by adopting more expansive competition laws or by regulating competition in digital markets. While the above-referenced scholars and advocates tend to assert that a more-expansive, EU-oriented approach would improve economic conditions, economic logic and the apparent reality from Europe strongly suggest otherwise.

Antitrust is an attractive regulatory tool for a number of reasons. The vague, terse language of most antitrust laws (including those in both the US and EU) readily lend themselves to “interpretation” imbuing them with virtually limitless scope. Indeed, the urge to treat antitrust as a legal Swiss Army knife capable of correcting all manner of social and economic ills is apparently difficult to resist. Conflating size with market power, and market power with political power, many recent calls for regulation of the tech industry are framed in antitrust terms, even though they are mostly rooted in nothing recognizable as modern, economically informed antitrust legal claims or analysis.

But that attraction is precisely why everyone—and emerging economies like ASEAN members in particular—should care about the scope, process, and economics of antitrust and the extent of its politicization. Antitrust in the US has largely resisted the relentless effort to politicize it. Despite being rooted in vague and potentially expansive statutory language, US antitrust is economically grounded, evolutionary, and limited to a set of achievable social welfare goals. In the EU, by contrast, these sorts of constraints are far weaker.

This conclusion is in no way altered by the fact that US antitrust law has become the “outlier” of global antitrust enforcement, compared to the EU’s more “consensual” approach. What matters is a policy’s actual results, not whether it is widely adopted; the world is full of debunked beliefs that were once widely shared. And it is far from certain that the widespread adoption of the EU model is in any way indicative of superior results. It is equally (or even more) plausible that this model has proliferated because it naturally accommodates politically useful populist narratives—such as “big is bad,” robin hood fallacies and robber baron myths—that are constrained by the US’s more evidence based and rational antitrust decision-making. America’s isolation might thus be a testament to its success rather than an emblem of its failure.

The EU’s more aggressive pursuit of technology platforms under its antitrust laws demonstrates many of the problems with its approach in general. Endorsing the European approach to antitrust, in a naïve attempt to bring high-profile cases against large internet platforms, would prioritize political expediency over the rule of law. It would open the floodgates of antitrust litigation and facilitate deleterious tendencies, such as non-economic decision-making, rent-seeking, regulatory capture, and politically motivated enforcement.

Bringing international antitrust enforcement in line with that of the EU would thus unlock a veritable Pandora’s box of concerns that might otherwise be kept in check. Chief among them is the use of antitrust laws to evade democratically and judicially established rules and legal precedent. When considering this question, it is important to see beyond any particular set of firms that enforcement officials and politicians may currently be targeting. An antitrust law expanded to consider the full scope of soft concerns that the EU aims at will not be employed against only politically disfavored companies, companies in other jurisdictions, or in order to expediently “solve” otherwise political problems. Once antitrust is expanded beyond its economic constraints and imbued with political content, it ceases to be a uniquely valuable tool for addressing real economic harms to consumers, and becomes a tool for routing around legislative and judicial constraints.

Our paper proceeds as follows. Section II analyzes the high-level differences between the American and European approaches to competition policy. Notably, this Section shows that these regimes pursue different goals, rely to varying degrees on economic insights to inform their decision-making, afford very different degrees of judicial deference to antitrust authorities, and exhibit different degrees of politization. Section III shows that the US and Europe also differ substantially in terms of the conduct that may constitute an infringement of competition law—the EU system being significantly more restrictive. Section IV turns to question of competition in digital platform markets. It argues that European competition enforcement in the digital industry provides a cautionary tale that cuts against both the adoption of ex ante regulation and a relaxation of existing antitrust standards (such as the “consumer welfare standard”). Section V posits that reducing economic concentration—sometimes cited as a byproduct of European-style competition enforcement—should not be a self-standing goal of antitrust policy. Finally, Section VI argues that many of the economic and political characteristics of the ASEAN economy cut in favor of using the US model of competition enforcement as a blueprint for further development and harmonization of ASEAN competition law.

Read the full white paper here.

Scholarship (ICLE)

One Size Does Not Fit All

Countries differ, and so do their digital competition regimes. Despite some shared features, each framework reflects distinct market conditions and policy choices. ICLE scholars have analyzed these differences in depth, showing how digital competition regulation plays out within specific national contexts.

Australia

ICLE Comments to the Australian Government’s Consultation on the Proposed Digital Competition Regime

I. Introduction

We appreciate the opportunity to comment on the Australian Government’s (“Government”) consultation on the implementation of a new digital competition regime.[1]

As we outline in our comments, the Government’s proposal rests on the assumption that there exists a broad global consensus on the need for ex-ante rules for digital platforms. This purported consensus is, however, largely overstated. Australia should not feel pressured to “catch up” with a trend that does not exist. Second, the Government promotes ex-ante digital competition rules as “complementary” to an expanding web of regulatory interventions. In practice, however, each new regulation compounds a broader regulatory overload that threatens to result in net social losses. Third, ex-ante digital competition rules may reflect the European Union’s (“EU”) distinct industrial policies that are not necessarily suited to Australia. The EU may also be willing, for political reasons, to accept tradeoffs that Australians are not. Fourth, the Government’s focus on ad tech is misplaced. Ad tech is not the hub of anticompetitive behaviour that the Government suggests it is. Fifth, the Government should take lessons from the international experience, particularly that of the EU. As we show, the Digital Markets Act (“DMA”) has led to unintended consequences for businesses and consumers alike—reducing functionalities and limiting visibility for smaller players, such as hotels. Finally, and relatedly, the rules and conduct requirements the Government envisions mirror the DMA’s flawed and are therefore likely to produce similar adverse outcomes.

II. No Global Consensus About the Need for Ex-ante Digital Competition Regulation

The Government and the Australian Competition and Consumers Commission (“ACCC”) both suggest that they do not want to be left behind by regulatory trends already adopted in other jurisdictions.[2] As a preliminary point, we contend that no such consensus exists.

To date, only a handful of countries have passed ex-ante competition rules for digital platforms.[3] In addition to the EU itself, Germany, Japan, and the United Kingdom have adopted regulatory regimes for digital markets that bear some resemblance to the DMA. Granted, other countries have contemplated adoption of such rules (most notably, Brazil, Turkey, South Korea, South Africa, and India), but whether these will ultimately become law remains anyone’s guess.

In short: the number of countries that have adopted ex-ante rules pales in comparison to those that have not. The United States, most notably, has rejected the path set out by the EU, as is evident from the slow death of the congressional antitrust legislative package in 2023.[4] Moreover, as Hong Dae-Sik and Daniel Sokol have pointed out:

The United States rejected such a legislative effort and its proponents have come under significant attack by academics and Congress. Likewise, most American courts have rejected this novel approach, and antitrust authorities that have brought lawsuits under such non-traditional legal theories have lost virtually every case, especially when seeking to block corporate mergers.[5]

Other countries’ commitments to follow this purported “global regulatory trend” are also teetering.[6] For example, it was recently reported that India could scrap proposed legislation to regulate digital platforms, amid fierce backlash from lawyers.[7] The South Korean government earlier backtracked on its plans to pass the Platform Competition Promotion Act (“PCPA”), which was likewise inspired by the DMA[8] The South Korean government is instead contemplating a more modest—albeit still questionable—reform of its Fair Trade Act.[9] The Philippines competition authority also recently ruled out a DMA-style bill.[10] With the United States increasingly signalling that it will not tolerate excessive foreign regulation of American technology companies, it is possible that more countries will back away from EU-style regulation on this front.[11]

Even in those jurisdictions that have taken steps to adopt “sector specific” competition rules for digital markets, there is no consensus about how such rules should be structured. To be sure, there are important thematic commonalities across so-called digital competition regulations.[12] But on a legal and formal level, these approaches are vastly heterogeneous.

Digital competition rules exist in a “difficult epistemological situation”,[13] caught between competition law, sector-specific regulation (despite digital markets lacking the homogeneity of a true “sector”),[14] or something else entirely. Some have called them the “lost child of competition law”,[15]  reflecting deeper uncertainty about their ultimate purpose—whether it should be fairness, consumer welfare, or equality. These goals are not always compatible and can, at times, be in direct conflict.[16]

For example, some digital competition rules are structured as an extension of the competition-law framework and are sometimes even formally embedded into existing competition law. In principle, where this is the case, it means that the standard goals and rationales of competition law still apply. Germany, for instance, has amended its Competition Act to enable early intervention against threats to competition by large digital firms.[17] The new rules prohibit certain categories of conduct and impose remedies based on structural inquiries, regardless of abuse. Unlike the DMA, the Competition Act’s Article 19a permits targeted companies to justify their conduct, but shifts the burden of proof to the defendant, diverging from competition-law norms.

With its draft amendments to Law 4054 (Turkey’s Competition Act),[18] Turkey has followed a similar path to Germany, although some of the new provisions go significantly further than even the DMA, partly due to their open-ended nature. For instance, the Turkish draft amendment would appear to prohibit all forms of tying and bundling, as well as potentially all exclusivity agreements. It also remains unclear whether the prohibitions would apply to all conduct by the designated digital platforms, or only to the “core platform services”.[19]

As noted above, South Korea recently scrapped plans for the PCPA.[20] The Korea Fair Trade Commission and the government of recently impeached and indicted President Yoon Suk Yeol[21] instead announced support for amendments to the existing Fair Trade Act.[22] Under the new rules, in cases where designated digital platforms are accused of self-preferencing, tying, or imposing most-favored nation (“MFN”) clauses or restrictions on multi-homing, the amendments would raise fines, reverse the burden of proof, and allow interim orders, including cease and desists, to be issued immediately. It also appears—although it is not certain—that the new rules would give targeted companies some leeway to mount a defense, such as by showing procompetitive efficiencies.

There are other proposed and enacted digital competition rules that are at least nominally competition-based, although their approaches differ. The United Kingdom’s Digital Competition and Consumers Bill (“DMCC”) allows the Competition and Markets Authority’s (“CMA”) newly created Digital Markets Unit (“DMU”) to impose “bespoke” conduct requirements on companies with “strategic market status”. This approach contrasts with the DMA, which contains (allegedly) self-executing blanket prohibitions by which all gatekeepers must abide.[23] By contrast, under the DMCC, the DMU determines how each designated firm must conduct itself in order to achieve the law’s stated objectives of “fair dealing”, “open choices”, and “trust and transparency”. These conduct requirements must be chosen from a list of “permitted types” (e.g., prohibiting self-preferencing, or requiring choice screens).

S. 29 of the DMCC provides for a “countervailing benefits exception” to conduct requirements. But apart from the fact that the exemption sets a high bar to clear (the behaviour must be “indispensable”), it also only applies once an investigation into breach of a conduct requirement is underway. It is questionable how useful this defense will prove to be in practice.[24]

India is taking a middle path between the DMCC and the DMA, wherein certain firms would be designated as “systemically significant enterprises” and subject to six obligations and prohibitions, albeit with more space for customization by the enforcer. The Indian Draft Digital Competition Bill[25] (“DDCB”) supplements the Indian Competition Act (“ICA”) but pursues different goals. The ICA’s stated goals are the protection of the interests of consumers and free trade, while the DDCB (like the DMA) pursues fairness and contestability.[26]

Meanwhile, in the United States, several bills have been put forward in recent years that are formally separate from existing antitrust law, but cover some of the same conduct as would typically be addressed under U.S. antitrust law—albeit with seemingly different goals and standards.[27] While the U.S. tech bills largely fail to describe their underlying goals, the bills’ titles, as well as statements made by their sponsors, suggest a set of overlapping concerns. These include preventing “material harm to competition” (which superficially sounds like an antitrust objective, but as the American Bar Association’s Antitrust Section has pointed out, isn’t);[28] reducing “gatekeeper power in the app economy”; and “increasing choice, improving quality, and reducing costs for consumers”.[29] But the measures also pursue other goals that are less obviously connected to competition, such as creating opportunities for small businesses and entrepreneurs, achieving a level playing field, and ensuring “fair” prices.

Brazil’s PL 2768,[30] which has some of the lowest quantitative thresholds for a company to be considered a “gatekeeper” (roughly AU$19.21 million), pursues an expansive grab bag of social and economic goals, including freedom of initiative; free competition; consumer protection; reduced regional and social inequality; combating the abuse of economic power; widening social participation in matters of public interest; access to information, knowledge, and culture; and fostering innovation and mass access to new technologies and access models. Like the DMCC, the obligations would be tailored to each company. The provisions are broadly phrased, however, and some appear open to expansive interpretations. For example, Art.10(IV) prohibits gatekeepers from refusing access to business users—seemingly tout court (although Art.11 then requires enforcers to act with proportionality when establishing obligations).

Japan, whose Smartphone Act is part of an overarching policy shift “towards a new form of capitalism”,[31] covers only four core platform services. By comparison, other digital competition rules typically cover around 10, replicating the DMA’s scope. Further, the Smartphone Act’s dos and don’ts would only apply when consumers access products or services on their phones (e.g., Google is only prohibited from engaging in self-preferencing on smartphones,[32] but not on laptops or PCs). The Smartphone Act also allows greater scope for privacy and security exemptions. Whereas the DMA only allows for such exemptions in the case of interoperability and sideloading (the Smartphone Act does not mandate sideloading), it appears that privacy, safety, and user protection constitute valid justifications for most types of conduct covered by the Smartphone Act.[33]

The South Africa Competition Commission (“SACC”) has called for remedial actions against popular intermediation platforms.[34] These are largely the usual “GAMMA” suspects (Google, Apple, Meta, Microsoft, and Amazon); it explicitly would include Amazon, despite the company’s absence in South Africa at the time. Presumably, the SACC would impose these remedies within the framework of the South African Competition Act. Uniquely, the SACC explicitly admits that its proposed remedies aim to redistribute wealth from the targeted digital companies to South African companies, historically disadvantaged peoples (“HDPs”), and small and medium-sized enterprises (“SMEs”).[35] The SACC recommends requiring Google to add identifiers and filters to help consumers identify and support local platforms and to directly pay competing SMEs and black-owned firms ZAR150 million (roughly AU$12.84 million) to offset Google’s competitive advantage.[36]

This has at least two implications for Australia. First, the “consensus” the Government aims to replicate domestically is vastly overstated. Second, Australia’s proposal is unlikely to be “complementary and cohesive with international practices”, because those practices themselves lack cohesion. Instead, it would introduce yet another layer of regulatory complexity, further disrupting digital platforms, their users, and the businesses that rely on them.[37]

III. Ex-Ante Digital Competition Regulation Adds Fuel to Australia’s Bonfire of Overregulation

The Government’s Proposal Paper claims that ex-ante digital competition rules would “complement” existing and forthcoming regulations, including the proposed Scams Prevention Framework, the government’s response to the Privacy Act Review, Digital ID laws, the News Media and Digital Platforms Mandatory Bargaining Code, and ongoing initiatives related to artificial intelligence (“AI”). [38]

Rather than serving as complements, however, these rules are just as likely to deepen Australia’s growing problem of overregulation, thereby further hindering digital platforms’ ability to deliver value to users and businesses. In a sea of regulations, one more regulatory overreach might seem insignificant, or it could be the final straw that breaks the camel’s back.

Studies in regulatory theory often suggest that, when multiple regulatory frameworks are implemented simultaneously, their combined effect can lead to “regulatory overload”. This can cause inefficiencies and unintended consequences that are not easily anticipated by looking at each rule in isolation. In other words, regulatory overload has synergistic effects.

In this vein, researchers have shown how multiple overlapping regulations can obscure policy objectives and hinder the development of effective and clear regulation;[39] that the total regulatory burden from multiple regulations often exceeds what might be expected by merely adding individual regulatory impacts together, causing “convex deadweight costs”;[40] and how the accumulation of regulations can lead to increased costs and inefficiencies.[41] For example, one study showed that between 1949 and 2005, the accumulation of federal regulations slowed U.S. economic growth by an average of 2% annually.[42] If regulation had stayed at its 1949 level, the 2011 U.S. GDP would have been approximately $39 trillion—3.5 times higher—resulting in a loss of around $129,300 per person in the United States. Another study mentioned earlier showed that:

By distorting the investment choices that lead to innovation, regulation has created a considerable drag on the economy, amounting to an average reduction of 0.8 percent in the annual growth rate of the US GDP. This seemingly small annual reduction has large implications. The slower economic growth associated with regulatory accumulation resulted in an economy that was $4 trillion smaller in 2012 than it could have been without such regulatory accumulation.[43]

This flips the Government’s argument about “complementarity” on its head, suggesting that the cumulative impact of regulations is likely to be greater than the sum of their individual effects, potentially doing more harm to the Australian digital sector than each regulation would on its own.

Consider the News Media Bargaining Code. These regulations have already imposed significant costs and caused unintended consequences, which could easily be exacerbated by parallel ex-ante digital rules targeting the same companies. In response to the proposed code, Meta banned the sharing and viewing of news content on Facebook in Australia. This led to a significant reduction in news consumption on the platform. One study found that, while some users sought alternative news sources, others experienced a decline in news consumption, potentially increasing their exposure to misinformation.[44] The Independent Media Alliance opined that the ban would be “terrible for not only the industry, but for Australian democracy”.[45] While Meta eventually reversed the ban and reached a deal that allowed news sharing to resume, the situation had significant ramifications. Larger publishers negotiated deals for compensation from Meta, but smaller news outlets faced sunk revenue losses.

While Google, in comparison, has been more willing to negotiate, there is a caveat. In Australia, Google agreed to pay news companies only after intense negotiations. In the end, Google secured terms more favourable to its business model, opting for case-by-case payments rather than a fixed, uniform payment model. While large companies like Australia’s own News Corp can absorb these transaction costs, smaller outlets may struggle. Google also had the ability to choose which content to display—and pay for—on its platform. Put simply, if you turn Google into a news buyer, it will shop around.

More recently, Australia has considered shifting the News Media Bargaining Code to function as a digital-services tax, either explicitly or de facto. The de facto version would make it compulsory for companies to carry news links. As a result, the compelled companies would subject to extraction. This shift could mean that Australian companies lose whatever arrangements they have made with Google. When New Zealand proposed legislation (currently stalled) with a similar effect, Google stated it would withdraw from the country’s news market entirely if enacted.[46]

Ultimately, major media companies with significant bargaining power, like News Corp and Nine Entertainment, were the main beneficiaries of the agreements made under the News Media Bargaining Code. These large publishers offered more varied content that was valuable to Google because it attracted a larger audience and thus increased ad revenue. In addition, large publishers were able to command higher payments, making them more likely to receive favourable treatment, in terms of visibility on Google’s platform. Conversely, smaller or independent news outlets that did not strike agreements with Google risked being excluded from Google’s news services or search results or receiving much less exposure than they would have in a but-for world.[47]

The question of how this scenario could be seen as benefiting the public—rather than large, politically powerful entities like News Corp—remains unanswered. Additionally, there is the issue of the combined impact of regulatory overload. Smaller outlets, who less able to negotiate for visibility on Google’s search engine, may face further challenges from prohibitions on self-preferencing. When self-preferencing is banned, companies like Google tend to auction off the top search spots, favoring incumbents with deep pockets.[48] As a result, smaller outlets that could previously appear at the top due to content relevance are now unlikely to secure those prime positions.

In other words, self-preferencing bans turn the currency of search rankings from relevance into actual money. While smaller companies could once compete based on relevance, they now face being crowded out by more financially robust competitors. The combined effect of the News Media Bargaining Code and a ban on self-preferencing could therefore lead to the demotion of content from smaller, yet relevant, business users—an outcome that would harm both these businesses and, most importantly, end-users.

In addition, prohibitions on the cross-use of data, or cumbersome requirements that are tilted against consent, could affect digital platforms’ ability to provide tailored, targeted ads. This would be another nail in the coffin of small businesses, which disproportionately rely on targeted advertising to break into new markets and reach customers.

IV. Australians May Not Want the Same Tradeoffs as the EU

It is hardly surprising that some countries would get “cold feet” about enacting strict ex-ante digital competition rules.[49] To the keen observer, the prospect always loomed that such rules might be little more than a quirk of EU industrial policy. As ICLE Senior Scholar Lazar Radic has noted,[50] prior to the DMA’s adoption, many leading European politicians touted the law’s text as a protectionist industrial-policy tool that would hinder U.S. firms to the benefit of European rivals.[51] French President Emmanuel Macron summarized it well when he said:

If we want technological sovereignty, we’ll have to adapt our competition law, which has perhaps been too much focused solely on the consumer and not enough on defending European champions.[52]

Insofar as these goals are—or may be—unique to a particular time and place (i.e., the EU in the 2020s), it is reasonable to assume they will not necessarily be shared by everyone. Some countries may be more interested in attracting digital platforms than in regulating,[53] “disciplining”,[54] or punishing them.[55] Echoing the argument that “one size does not fit all” when it comes to digital competition regulation,[56] Dae-sik and Sokol note that among the reasons ex-ante digital competition rules are inappropriate for South Korea is the marked differences between that nation’s economic, legal and regulatory context and that of the EU:

Europe chose to regulate heavily for protectionist reasons. It lacks the tech infrastructure, innovative companies, and unicorns that are present in other vibrant economies like Korea. […] While Korea has approximately three times more unicorns than Japan, despite having a smaller gross domestic product, the adoption of a DMA-like approach may hurt Korea’s innovation advantage.[57]

Similarly, Samir Ghandi argues that the DMA’s “one-size-fits-all” approach would not work “for a dynamic Indian market with its own vibrant tech ecosystem”.[58]

Other, less technologically intense countries like South Africa might have a still different set of priorities, such as attracting foreign direct investment to drive growth and the development of essential infrastructure. As Radic and ICLE President Geoffrey Manne have written:

Developing countries like South Africa should be especially wary of importing untested competition rules that impose government-mandated designs on the business models and user interfaces of innovative companies. It’s not trite to say that South Africa’s market is not the same as the EU’s. The consequences of unsound competition policy here may be to stymie foreign investment and domestic innovation exactly where they are needed most. […] This is a far cry from the untested, pre-emptive constraints contemplated by the [SACC].[59]

The point is countries’ needs are as varied as the countries themselves. This does not preclude the possibility of common rules and standards; after all, most of the world’s competition-law systems have converged around some version of the consumer welfare standard.[60] But one explanation for this commonality can be found in how the consumer welfare standard fares when compared to the alternatives:

The objective nature of the choice and interpretation of legal antitrust standards exists on a spectrum, and the [consumer welfare standard’s] conceptual congruence, measurability, and its connection to aspects that are almost universally considered to be relevant parameters of competition (price, innovation, quality) brings it closer to objectivity and further away from subjectivity.[61]

Conversely, once it is understood that the DMA represents an attempt to pass off a sui generis, subjective policy choice as a universal regulatory paradigm, the case for harmonization quickly withers. Clearly, not everyone is on board with trading economic performance for a set of questionable political goals.[62] In this sense, one frequent criticism of ex-ante competition rules is that they ignore—or, at the very least, significantly downplay—the effects on consumer welfare and innovation (the traditional bastions of competition policy). Instead of focusing on protecting competition to the benefit of consumers, digital competition rules commit the cardinal antitrust sin of protecting competitors. As former Federal Trade Commission (“FTC”) Commissioner Maureen Ohlhausen has put it:

Some recent legislative and regulatory proposals appear to be in tension with this basic premise. Rather than focusing on protection of competition itself, they appear to impose requirements on some companies designed specifically to facilitate their competitors, including those competitors that may have fallen behind precisely because they had not made the same investments in technology, innovation or product offerings. For example, the Digital Markets Act (DMA) would force a ‘gatekeeper’ company to provide business users of its service, as well as those who provide complementary services, access to and interoperability with the same operating system, hardware, or software features that are available to or used by the gatekeeper. While this would restrain gatekeepers and presumably facilitate the interests of the gatekeeper’s rivals, it is not clear how this would protect consumers, as opposed to competitors.[63]

This, of course, is only surprising if one falls for the story that digital competition rules—and the DMA, in particular—were ever intended to protect competition or consumer welfare. The readily apparent goal is instead to redistribute rents, protect competitors, and level down gatekeepers, even if it comes at the expense of consumers.[64] There is no better example of this than the DMA, whose preamble explicitly disavows consumer welfare and economic efficiency as irrelevant under the new rules.

As commentators around the world have pointed out, this approach is likely to stymie dynamism in digital markets and harm consumers. As noted above, Dae-sik and Sokol argue against introducing ex-ante digital competition regulations in South Korea, contending that such rules would stifle innovation, decrease investment, hurt startups and consumers, and jeopardize South Korea’s status as a regional leader in tech innovation.[65] Carmelo Cennamo and Juan Santaló further argue that the DMA could produce a host of other harmful unintended consequences.[66] For example, undermining gatekeepers’ ability to control access to their platforms could ultimately lead to lower levels of innovation. Obligations like data-sharing could reduce gatekeepers’ incentives to accumulate and process data, thereby diluting the competitive benefits and product improvements that result from such collection.

Some consumers and policymakers may be willing to accept these tradeoffs in pursuit of equity, fairness, contestability, “reining in” tech giants, or some other goal.[67] But others, reasonably, may not. Thus, commentators from both within and outside the EU have increasingly questioned the need for rules that mechanically apply preset default solutions to the complex tradeoffs that have typically characterized competition-law analysis. This is of particular concern in dynamic markets driven by innovation, where uncertainty is endemic and where, except in the most egregious of cases,[68] even the wisest enforcers can’t know a priori whether or not given conduct is procompetitive.[69] Against this backdrop, tales of a supposed consensus in support of a special set of competition rules for digital platforms are rooted more in fantasy than in reality.

There is also the question of whether the Government can make such far-reaching decisions about tradeoffs without substantial democratic discussion and debate. The Government’s proposed framework would include broad obligations to target anticompetitive conduct contained in primary legislation and service-specific obligations to clarify the broad requirements contained in subordinate legislation (e.g., regulations). Though many of the categories of conduct sound straightforward and technical, they implicate several policy-laden decisions that broad obligations cannot capture, as well as competing interests that subordinate legislation would struggle to balance.

For instance, “restrictions on interoperability that limit effective competition” implicates multiple types of interoperability (i.e., technical, syntactic, and semantic interoperability and organization) each of which poses unique and personal tradeoffs in terms of user security, privacy, and flexibility. Other categories the Government’s proposal would seek to regulate, such as digital advertising, affect broad swathes of the economy and thus implicate substantive matters of policy. Without meaningful democratic deliberation, the Government’s framework risks imposing rigid, one-size-fits-all regulations on complex and deeply consequential tradeoffs that require a nuanced and inclusive policymaking approach.

V. Focus on ‘Ad Tech’ as a Hub of Anticompetitive Conduct Is Misguided

The Proposal Paper states that advertising technology (“ad tech”) would be a priority for the new regime.[70] In a previous report, the ACCC found that:

there is a lack of transparency in the supply chain, and that Google’s vertical integration and strength in ad-tech services has allowed it to engage in a range of conduct which has lessened competition over time and entrenched its dominant position.[71]

These findings should, however, be put into context. For years, regulators and competition watchdogs have expressed concern about competition in the digital-advertising business. Like the ACCC and the Government, they have noted that digital advertising appears to be dominated by a handful of large firms, including Google, Facebook, and—to a lesser extent—Amazon. Some claim that this dominance allows these firms—and Google, in particular—to engage in anticompetitive conduct to extend their market power and to earn supercompetitive profits at the expense of advertisers, publishers, and consumers. But Manne and ICLE Senior Scholar Eric Fruits have argued that, based on the information that is publicly available, many of the most significant claims made against Google’s ad-tech business are based on a misunderstanding of U.S. antitrust law, or of the details of the ad-tech market itself.[72] While Manne and Fruits’ study focuses on the United States, the findings can, to a significant extent, be extrapolated to Australia.

As they note, digital advertising provides the economic underpinning for much of the internet. Targeted digital advertising on independent websites is often facilitated by intermediaries that match advertisers and websites automatically, displaying ads to those users for whom they are most relevant. The technology powering this intermediation has advanced enormously over the past three decades. Some now allege, however, that the digital-advertising market is monopolized by its largest participant: Google.[73]

Ultimately, however, this is a version of the “big is bad” argument, in which conduct by dominant incumbent firms that makes competition more difficult for certain competitors is viewed as inherently anticompetitive—even if the conduct confers benefits on users. Under this approach, the largest firms are seen as acting anticompetitively if they do not share their innovations or reveal their business processes to competing firms. As a result, creating new and innovative products, lowering prices, reducing costs through vertical integration, and enhancing interoperability among existing products is miscast as anticompetitive conduct.

In contrast, competition laws—including Australia’s own—are intended to foster innovation that creates benefits for consumers, including innovation by incumbents. The law does not proscribe efficiency-enhancing unilateral conduct on the grounds that it might also inconvenience competitors, or that there is some other arrangement that could be “even more” competitive. While this might benefit some competitors in the short run, over the longer term, it will tend to stifle competition by discouraging innovation and investment and promoting free riding.

Moreover, competition law generally does not second guess unilateral conduct simply because it may hinder rivals. Any such conduct must first be shown to be anticompetitive—that is, to harm consumers or competition, not merely certain competitors. In multisided markets, this means finding not simply that some firms on one side of the market are harmed, but that the combined net effect of challenged conduct across all sides of the market is harmful.

Regulators, however, often fall into what has been deemed the “nirvana fallacy”, in which real-life conduct is compared against a hypothetical “competition-maximizing” benchmark and anything that falls short is deemed worthy of intervention. That fanciful approach would pervert businesses’ incentives to innovate and compete and would make an unobtainable “perfect” that exists only in the minds of some economists and lawyers the enemy of a “good” that exists in the market.

In the case of the Proposal Paper, many of the interventions appear to be geared toward destroying or undermining Google’s vertical integration in ad tech.[74] But these heavy-handed interventions risk hampering the quality of Google’s ad-tech service. Vertical integration plays a crucial role in streamlining supply chains by reducing inefficiencies and coordination issues, ultimately lowering transaction costs, and passing the benefit onto consumers. Additionally, forcing Google to unbundle its ad-tech operations could diminish its incentive to innovate, as it would expose proprietary advancements to potential replication by rivals. Rather than fostering competition and efficiency, these interventions may disrupt a well-functioning market, leading to higher costs, reduced service quality, and slower innovation in digital advertising.

VI. The Comparative Experience with Ex-Ante Rules for Digital Platforms

The Government is adamant that ex-ante rules for digital platforms will benefit everyone in Australia, but especially businesses and consumers. The EU’s experience with the DMA, however, tells a much more nuanced and less flattering story. Two lessons emerge from the DMA’s implementation for the Government’s ex-ante proposal: there are going to be winners and losers, and there will be unintended consequences. The Government and Australians more generally should brace themselves for both. Below are concrete examples of the inherent tradeoffs and unintended consequences following the EU’s implementation of the much-vaunted DMA.

Take, for example, self-preferencing. The DMA’s self-preferencing ban has made it increasingly difficult for platforms to offer certain functionalities in Europe. For example, Google has removed features like maps, hotel bookings, and reviews from its search results. Until it can accommodate competitors who offer similar services (if this is even possible), these specialized search results will remain buried several clicks away from users’ general searches. Not only is this inconvenient for consumers, but it has important ramifications for business users.

Take hotel bookings, for example. Early estimates suggest that clicks from Google ads to hotel websites decreased by 17.6% because of the DMA. DMA implementation also caused clicks and bookings on Google Hotel Ads to sink by as much as 30%.[75] As a result, the volume of direct bookings dropped as much as 36%, “increasing hotel dependence on intermediaries, which seriously damages their profitability”.

By prohibiting Google from placing its own vertical services (Google Maps, Google Flights, and Google Hotel Ads) first, “the presentation of hotel offers to users based in DMA markets is less organised, clear and intuitive”.[76] Previously, Google Search provided a direct display of hotels, featuring relevant details like prices, distance from the user, and images. Now, the top search results point to intermediaries like Booking.com and eDreams (see Figure 1). The irony, of course, is that Booking.com is itself a designated “gatekeeper” under the DMA.

FIGURE 1: Post-DMA Google Search for Madrid Hotels

This sort of regulatory intervention does not make the market more “fair or contestable”. It merely robs Peter to pay Paul, while also robbing the consumer. As a study by hotel-industry consultant Mirai finds:

Prior to DMA, Google’s taxonomy of results was the result of decades of effort by the company to refine its results in order to provide an optimized search experience that would connect supply and demand in a way that was ideal for both.

This pre-DMA search experience offered hotels participating directly in the Google Hotel Ads product, the option to present their inventory (availability and room rates) in a way that was both efficient from the standpoint of distribution cost, and enriched for the user, as it integrated the experience of other services, e.g. Google Maps. This way of presenting information was clear, relevant and intuitive, and maximized purchasing decisions such as hotel bookings for those users who were so inclined.[77]

Users therefore now face a less intuitive booking experience, with limited access to aggregated hotel offers, simplified calendar pricing, and streamlined tools like Google Travel. Consumer frustrations include being redirected to search-engine results instead of the Travel section, and additional clicks being required to complete actions that previously required just one.

So, who has Art.6(5) really benefitted? Clearly not hotels: they have been subjected “to the toll of intermediation, strangling direct sales and holding users and hotels captive to less profitable, less independent business models”.[78]

Google has also removed other functionalities to comply with Art. 6(5). In March 2024, the company announced it had “removed some features from the search results page which help consumers find businesses, such as the Google Flights unit”.[79] Google noted that the DMA had produced unintended consequences, including a suboptimal user experience and impact to businesses.

We’ve always been focused on improving Google Search to help people quickly and easily find what they’re looking for. … Rules that roll back some of these advances represent a fundamental shift in competition policy. We encourage other countries contemplating such rules to consider the potential adverse consequences — including those for the small businesses that don’t have a voice in the regulatory process.[80]

For its part, Apple has highlighted another quality-degrading consequence of the DMA: the obligation to allow competing app stores onto the iOS platform and to allow apps to be downloaded directly from their websites (commonly known as “sideloading”).[81] In practice, this “openness” means allowing third-party applications to bypass controls and protections implemented to safeguard users’ security and privacy.[82] This is already happening in Europe, where Apple has been forced to allow Epic Games to launch an alternative app store on iOS.[83] While this may seem a positive development for (some) developers and consumers, it could also harm user trust in the platform and thus decrease the total number of transactions, to the detriment of all parties involved (business users, consumers, and the owner of the platform).

Indeed, “[p]hishers are using a novel technique to trick iOS and Android users into installing malicious apps that bypass safety guardrails built by both Apple and Google to prevent unauthorized apps”.[84] This sort of attack will be more effective in the absence of the protections provided by Apple’s App Store.[85] Recently, a porn app, “Hot Tub”, made its way into the iOS, further validating at least some of Apple’s concerns over safety, privacy and security (and undermining the integrity of the iOS’ “clean” brand image in the process).[86]

In addition to diminishing the quality of existing digital services, the DMA has significantly delayed the introduction of new digital products and services in the EU. A notable example is Meta’s Threads, which launched nearly six months later in the EU than in other regions–frustrating users eager for an alternative to X.com (formerly known as Twitter) following Elon Musk’s acquisition of the company.[87]

Delayed releases appear to be a trend in the EU, as Apple recently announced that it would withhold the release of its latest features from the EU market, including Apple Intelligence, due to regulatory uncertainties.[88] Apple Intelligence is now scheduled to be released in Europe in April 2025,[89] seven months later than in the United States and closer to the release of the iPhone 17 than the iPhone 16.  These events indicate that, rather than fostering a more competitive digital landscape, the DMA risks isolating EU consumers from innovative technological advancements, undermining its intended purpose.

VII. Assessing the Government’s Proposed Interventions

The Government outlines several potential interventions, ranging from default pre-installation interventions to prohibiting self-preferencing and tying. Ultimately, these interventions must be carefully evaluated against current market realities and the risk of unintended consequences.

A. Default and Preinstallation Interventions

The Government contemplates additional restrictions on default search positions and pre-installation agreements.[90] Such interventions should, however, be evaluated against existing measures and changing user behaviour. Recent empirical work suggests that choice screens’ effectiveness depends heavily on their design and implementation.[91] Furthermore, default restrictions could have unintended consequences for competition. Many smaller search engines currently compete for default positions through revenue-sharing agreements with device manufacturers and browsers. With two-sided markets, however, restricting these agreements could paradoxically harm competition by removing a key mechanism through which alternative search engines currently reach users.[92]

B. Forced Interoperability

The Government favours mandating interoperability, including of third-party app stores.[93] As noted above, sideloading and third-party app stores can lead to significant security and privacy risks. As Jane Bambauer has observed:

EU lawmakers should be aware that the DMA is dramatically increasing the risk that data will be mishandled. Nevertheless, even though a new scandal from the DMA’s data interoperability requirement is entirely predictable, I suspect EU regulators will evade public criticism and claim that the gatekeeping platforms are morally and financially responsible.[94]

Indeed, some of these privacy and security concerns have already materialized.[95] Relatedly, the decreased control over an operating system’s content would, in turn, also eliminate one of the primary competitive differences between the iOS and Android. Indeed, centralized app distribution and Apple’s “walled garden” model increase interbrand competition because they are at the core of what differentiates Apple from Android. Apple’s business model historically has focused on being user-friendly, reliable, safe, private, and secure. For Apple (and its users), the touchstone of a good platform is not its “openness”, but its carefully curated selection and security, understood broadly as encompassing the removal of objectionable content, protection of privacy, and protection from “social engineering”, and the like.

By contrast, Android has bet on the open platform model, which sacrifices some degree of security for the greater variety and customization associated with more open distribution. These are legitimate differences in product design and business philosophy. As Jonathan Barnett has explained:

Open systems may yield no net social gain over closed systems, can impose a net social loss under certain circumstances, and . . . can impose a net social gain under yet other circumstances.[96]

Because consumers and developers could reasonably prefer either ecosystem, it is not clear that loosening Apple’s control over the App Store would necessarily improve consumer welfare or lead to more app transactions market wide. Under the guise of fostering competition on Apple’s platform, the forced standardization of interoperability mandates would thus instead eliminate competition where it matters most—i.e., at the interbrand, systems level.

C. Banning Self-Preferencing

The Proposal Paper also advocates a prohibition of self-preferencing.[97] As noted above, self-preferencing prohibitions have led to some unexpected—and probably unwelcome—outcomes in the EU.[98] The notion that the ability to give preferential treatment to one’s products is inherently anticompetitive contradicts “over a century of antitrust jurisprudence, economic study, and enforcement agency practice” that have firmly established that “the competitive effects of a vertically integrated firm’s ‘discrimination’ in favor of its own products or services… generally produce significant benefits for consumers”.[99]

It also flatly contradicts a number of empirical studies showing that even the welfare of competitors (to say nothing of consumers) may often be improved by such self-preferencing.[100] While enforcement of such provisions may benefit certain competitors in the short run, they create perverse incentives over the long run for rivals, who may underinvest in ensuring their own viability due to such regulations inefficiently insuring them against their own business misjudgements.[101]

D. Limiting Product Integration

The Proposal Paper also targets tying and bundling, including the bundling of in-app payment systems (“IAPs”) with app stores.[102] The latter concern likely pertains to Apple’s imposition of a 30% fee on payments made through its iOS platform, while simultaneously prohibiting third-party in-app purchases (IAPs).

But it should be asked what outcomes the Government hopes to achieve by compelling Apple to permit third-party IAPs on iOS. Even under such a scenario, Apple would still be entitled to compensation for platform access and the use of its intellectual property. Interestingly, the 30% fee appears to align with industry norms, as Steam, Nintendo eStore, PlayStation, GOG, and Xbox Game Store all apply similar charges.[103] This raises the pertinent question of why Apple is being singled out for regulatory scrutiny. Are all these companies operating as monopolies and gatekeepers? If so, why are they not encompassed within the Government’s proposed ex-ante regulatory framework?

Moreover, even if Apple is required by law to allow third-party IAPs, the company could then allow independent payment processors to compete, charge an all-in fee of 30% when Apple’s IAP is chosen, and, in order to recoup the costs of developing and running its App Store, charge app developers a reduced, mandatory per-transaction fee (on top of developers’ “competitive” payment to a third-party IAP provider) when Apple’s IAP is not used.

Indeed, where such a remedy has already been imposed, that is exactly what Apple has done. In the Netherlands, where Apple was required by the Authority for Consumers and Markets (“ACM”) to uncouple distribution and payments for dating apps, Apple adopted the following policy:

Developers of dating apps who want to continue using Apple’s in-app purchase system may do so and no further action is needed. … Consistent with the ACM’s order, dating apps that . . . use a third-party in-app payment provider will pay Apple a commission on transactions. Apple will charge a 27% commission on the price paid by the user, net of value-added taxes. This is a reduced rate that excludes value related to payment processing and related activities.[104]

It’s not hard to see the fundamental problem with this approach. If a 27% commission, plus a competitive payment-provider fee, permits more “competition” than complete exclusion of third-party providers, then surely a 26% fee would permit even more competition. And a 25% fee more still. This would entail precisely the kind of price management by regulators that has generally been considered antithetical to competition and competition law.

VIII. Conclusion and Recommendations

The Government’s proposal rests on the mistaken premise that there is a global consensus on ex-ante digital competition regulation. Australia’s push to match similar measures enacted in a handful of other jurisdictions risks exacerbating an already burdensome regulatory landscape. While the EU has embraced strict digital platform rules, Australians may not be willing to accept the same tradeoffs in terms of innovation and consumer choice.

The Government’s focus on the ad-tech sector as a hub of anticompetitive conduct overlooks that market’s complexity and existing competitive dynamics. Comparative experience with ex-ante rules for digital platforms highlight both the risks and limited successes of such interventions, raising concerns about their effectiveness in the Australian context.

Drawing on both the empirical evidence and theoretical frameworks discussed above, the Government should carefully reconsider the need for ex-ante competition regulation of digital platforms. The rapidly evolving nature of digital search markets suggests a more nuanced approach may be appropriate.

If the Government nonetheless proceeds, we recommend the following principles for any subsequent interventions:

  • Adopt an “innovation first” approach to remedies that preserves incentives for both incumbents and new entrants to develop novel search technologies.
  • Focus on removing barriers to competition, rather than imposing detailed conduct requirements. Light-touch interventions often prove more effective than prescriptive regulation in fast-moving technology markets.
  • Establish regular review periods to assess the continued appropriateness of any interventions.

By carefully considering the dynamic nature of competition and focusing on forward-looking analysis, the Government can help ensure that Australian consumers and businesses benefit from continued innovation in the digital economy.

[1] Digital Platforms — A Proposed New Digital Competition Regime, Aust. Gov. Treas. (2 December 2024), https://treasury.gov.au/consultation/c2024-547447 (hereinafter “Proposal Paper”).

[2] Press Release, ACCC Welcomes Consultation on New Digital Competition Regulation, Aust. Compet. Consum. Comm. (3 December 2024), https://www.accc.gov.au/media-release/accc-welcomes-consultation-on-new-digital-competition-regime. (“The proposed regime is directionally similar to reforms already being implemented or proposed in many international jurisdictions including the European Union, the United Kingdom, Japan and India…This is an opportunity to build on the progress made overseas and by introducing similar changes here, it will help ensure Australian businesses and consumers aren’t left behind… We believe the proposed regime will be fit-for-purpose for Australia while being complementary to and cohesive with international approaches”).

[3] Thomas Graf, Jackie Holland, Henry Mostyn, & Patrick Todd, Digital Markets Regulation Handbook, Cleary Gottlieb, https://content.clearygottlieb.com/antitrust/digital-markets-regulation-handbook/index.html (last visited 13 February 2025).

[4] Lazar Radic & Geoffrey A. Manne, The ABA’s Antitrust Law Section Sounds the Alarm on Klobuchar-Grassley, Truth Mark. (12 May 2022), https://truthonthemarket.com/2022/05/12/the-abas-antitrust-law-section-sounds-the-alarm-on-klobuchargrassley.

[5] Hong Dae-sik & D. Daniel Sokol, Korea Should Prioritize Innovation, Not Misguided Platform Regulation, The Korea Her. (12 May 2024), https://www.koreaherald.com/view.php?ud=20240512050148.

[6] Sangyun Lee, LinkedIn (27 September 2024, 00:35:22), https://www.linkedin.com/posts/sangyunl_indian-digital-competition-law-teeters-lawyers-activity-7245289899409448960-0rtV?utm_source=share&utm_medium=member_desktop.

[7] Charles McConnell, Indian Digital Competition Law Teeters, Lawyers Call for Rethink, Glob. Compet. Rev. (26 September 2024) https://globalcompetitionreview.com/article/indian-digital-competition-law-teeters-lawyers-call-rethink.

[8] Chosun Ilbo, ‘Monopoly Platform’ Regulation Law Falls Away… Fair Trade Commission Cancels Plan Due to Industry Opposition, Naver News (9 September 2024), https://n.news.naver.com/mnews/article/023/0003857596?sid=101.

[9] Kang Shin-woo, Amendment of the Fair Trade Act to Regulate Large Platforms… ‘Google, Apple, Naver, Kakao’ to Have Jurisdiction, Naver News (9 September 2024) https://n.news.naver.com/mnews/article/018/0005832606?sid=101; see also Heo Ji-hye, Platform Law that Changes Direction… Concerns Increase over Standards for Proof of Competition Restriction, Pressman (9 September 2024), https://www.pressman.kr/news/articleView.html?idxno=84619. Under the revisions, platforms must prove directly that their actions do not harm competitors, and that they benefit consumers and have positive impacts on the market. In other words, the reforms essentially reverse the burden of proof. Critics like Hong Dae-sik warn that stringent oversight could discourage businesses to pursue new initiatives due to a lack of confidence in their ability to meet criteria. (“Ultimately, if companies are not confident in the reasons they present to the Fair Trade Commission when taking certain actions, they will not take the actions”.)

[10] Charles McConnell, Exclusive: Philippine Competition Watchdog Rules Out DMA-Style Bill, for Now, Glob. Compet. Rev. (20 September 2024) https://globalcompetitionreview.com/article/exclusive-philippine-competition-watchdog-rules-out-dma-style-bill-now.

[11] @KTmBoyle, X.com (11 February 2025, 9:16 AM), https://x.com/KTmBoyle/status/1889317529039913301.

[12] Lazar Radic, Geoffrey A. Manne, & Dirk Auer. Regulate for What? A Closer Look at the Rationale and Goals of Digital Competition Regulation 22 Berkeley Bus. L.J. (Forthcoming 2025).

[13] Pierre Larouche & Alexandre De Streel, The European Digital Market: A Revolution Grounded on Traditions, 12 J.E.C.L. & Pract. 542 (2021), (arguing that the DMA’s conceptual nature is in a “difficult epistemological position”).

[14] Lazar Radic, Gatekeeping, the DMA, and the Future of Competition Regulation, Truth Mark. (8 November 2023), https://truthonthemarket.com/2023/11/08/gatekeeping-the-dma-and-the-future-of-competition-regulation.

[15] Belle Beems, The DMA in the Broader Regulatory Landscape of the EU: An Institutional Perspective, 19 Eur. Competition J. 1–29 (January 2023), https://www.tandfonline.com/doi/full/10.1080/17441056.2022.2129766.

[16] Giuseppe Colangelo, In Fairness We (Should Not) Trust: The Duplicity of the EU Competition Policy Mantra in Digital Markets, 68 Antitrust Bull. 618 (2023), (Arguing that the inherent vagueness of the “fairness” concept is likely to grant regulators excessive discretion for intervention).

[17] Press Release, Amendment of the German Act Against Restraints of Competition, Bundeskartellamt (19 January 2021), https://www.bundeskartellamt.de/SharedDocs/Meldung/EN/Pressemitteilungen/2021/19_01_2021_GWB%20Novelle.html.

[18] Bahadir Balki, Nabi Can Acar, Helin Yüksel, Mehmet Mikail Demir, Seda Eliri, & Erdem Aktekin, A New Age for Digital Markets in Turkey? The Draft Amendment to the Law No. 4054 on the Protection of Competition, Kluwer Compet. Law Blog (25 October 2022), https://competitionlawblog.kluwercompetitionlaw.com/2022/10/25/a-new-age-for-digital-markets-in-turkey-the-draft-amendment-to-the-law-no-4054-on-the-protection-of-competition.

[19] Henry Mostyn, Patrick Todd, & Goksu Kalayci, Turkiye, Cleary Gottlieb (December 2023), https://content.clearygottlieb.com/antitrust/digital-markets-regulation-handbook/turkey/index.html.

[20] Ilbo, supra note 8.

[21] Jean Mackenzie & Ruth Comerford, Impeached S Korean President Charged with Insurrection, BBC News (26 January 2025), https://www.bbc.com/news/articles/cr53r1d0jz4o.

[22] Shin-woo, supra note 9.

[23] Robert Wildner, The Digital Markets Act: What a Difference a Month Makes, Mob. Mark. (9 April 2024), https://mobilemarketingmagazine.com/the-digital-markets-act-what-a-difference-a-month-makes.

[24] Dirk Auer, Matthew Lesh, & Lazar Radic, Digital Overload: How the Digital Markets, Competition and Consumers Bill’s Sweeping New Powers Threaten Britain’s Economy, Inst. Econ. Aff. (18 September 2023), https://iea.org.uk/publications/digital-overload-how-the-digital-markets-competition-and-consumers-bills-sweeping-new-powers-threaten-britains-economy.

[25] Report of the Committee on Digital Competition Law, Gov. India Minist. Corp. Aff., (27 February 2024), https://www.mca.gov.in/bin/dms/getdocument?mds=gzGtvSkE3zIVhAuBe2pbow%253D%253D&type=open.

[26] The Competition Act, No. 12 of 2003, India Code (2003), available at https://www.cci.gov.in/images/legalframeworkact/en/the-competition-act-20021652103427.pdf.

[27] H.R. 3849, 117th Congress (24 June 2024), https://www.congress.gov/bill/117th-congress/house-bill/3849/text; S. 2992, 117th Congress (2 March 2022), https://www.congress.gov/bill/117th-congress/senate-bill/2992/text; S. 2710, 117th Congress (17 February 2022), https://www.congress.gov/bill/117th-congress/senate-bill/2710.

[28] Radic & Manne, supra note 4.

[29] Id.

[30] PL n. 2768/2022, Câmara dos Deputados (Brazil), (10 November 2022), https://www.camara.leg.br/proposicoesWeb/prop_mostrarintegra?codteor=2214237&filename=PL%202768/2022.

[31] Grand Design and Action Plan for a New Form of Capitalism: 2023 Revised Version, Jpn. Cabinet Secr. (2023), available at https://www.cas.go.jp/jp/seisaku/atarashii_sihonsyugi/pdf/ap2023en.pdf; Outline of the Act on Promotion of Competition for Specified Smartphone Software, Jpn. Fair Trade Comm. (Jun. 2024), available at https://www.jftc.go.jp/file/240612EN3.pdf; @laz_radic, X.com (14 August 2024, 6:17 a.m.), https://x.com/laz_radic/status/1823665316200899036.

[32] Simon Vande Walle, Is the EU’s Digital Markets Act Going Global? How Japan Is Crafting Its Own Version of Digital Regulation with the Smartphone Act, EU Renew (21 August 2024), https://eu-renew.eu/is-the-eus-digital-markets-act-going-global-how-japan-is-crafting-its-own-version-of-digital-regulation-with-the-smartphone-act.

[33] JFTC, supra note 31.

[34] Online Intermediation Platforms Market Inquiry, Compet. Comm. S. Afr. (2000-2019), https://www.compcom.co.za/online-intermediation-platforms-market-inquiry.

[35] Id. at 1.

[36] Id. at 3.

[37] Proposal Paper, supra note 1, at 4-5.

[38] Id., at 5.

[39] J.M.M. van den Brink, M.J.M. van Rijswick, & J.M.A. van Kempen, Regulatory Overlap: A Systematic Quantitative Literature Review, 17 Reg. Gov. 1131, 1132 (2021) (finding that “Regulatory failure caused by overlapping regulations is ubiquitous, with examples in all jurisdictions across a range of disciplines”).

[40] Economic Report of the President, Exec. Off. Pres. (March 2019), 81, available at https://www.govinfo.gov/content/pkg/ERP-2019/pdf/ERP-2019.pdf (“The deadweight cost function is convex; if the tax is increased by 10 percent, the deadweight costs of the tax increase by more than 10 percent. As we discuss in detail below, the regulatory deadweight cost function is also convex. A new regulatory action that increases regulatory costs by 10 percent increases the cumulative regulatory cost burden by more than 10 percent”).

[41] Patrick MacLaughlin, Nita Ghei, & Michael Wilt, Regulatory Accumulation and its Costs, Mercatus Policy Brief (2016).

[42] John W. Dawson & John J. Seater, The Economic Impact of Regulation: A Literature Review, 18 J. Regulatory Econ. 137 (2013).

[43] MacLaughlin, Ghei, & Wilt, supra note 41.

[44] Ying Gu, Stephanie Lee, & Yong Tan, News in the Dark: Effects of Facebook’s Australian News Ban on News Consumption, SSRN (5 April 2024), https://ssrn.com/abstract=4790864.

[45] Josh Taylor, Facebook’s Potential News Ban Already Affecting Smaller Australian Media Outlets, Inquiry Told, The Guardian (21 June 2024), https://www.theguardian.com/media/article/2024/jun/21/facebooks-potential-news-ban-already-affecting-smaller-australian-media-outlets-inquiry-told.

[46] Giles Dexter, Fair News Bargaining Bill in Limbo as Minister Says It Is Not Ready, Radio N.Z. (13 November 2024), https://www.rnz.co.nz/news/political/533666/fair-news-bargaining-bill-in-limbo-as-minister-says-it-is-not-ready.

[47] Paul Karp, Amanda Meade, & Josh Butler, Meta, TikTok and Google Will Be Forced to Pay Australian News. What Does It Mean for You?, The Guardian (12 December 2024), https://www.theguardian.com/australia-news/2024/dec/12/meta-tiktok-and-google-to-be-forced-to-pay-for-australian-news.

[48] See infra, Section VI.

[49] See McConnell, supra note 7; Ilbo, supra note 8; McConnell, supra note 10.

[50] Radic, supra note 14.

[51] Mathieu Pollet, France to Prioritise Digital Regulation, Tech Sovereignty During EU Council Presidency, Euractiv (14 December 2021), https://www.euractiv.com/section/digital/news/france-to-prioritise-digital-regulation-tech-sovereignty-during-eu-council-presidency; Lazar Radic, Digital-Market Regulation: One Size Does Not Fit All, Truth Mark. (17 April 2023), https://truthonthemarket.com/2023/04/17/digital-market-regulation-one-size-does-not-fit-all.

[52] Barbara Moens & Paola Tamma, Macron and Merkel Defy Brussels with Push for Industrial Champions, Politico (18 May 2020), https://www.politico.eu/article/macron-and-merkel-defy-brussels-with-push-for-industrial-champions.

[53] Oles Andriychuk, Do DMA Obligations for Gatekeepers Create Entitlements for Business Users?, 11 J. Antitrust Enforc. 123, 123-32 (28 December 2022), https://academic.oup.com/antitrust/article/11/1/123/6964483.

[54] Geoffrey A. Manne, Dirk Auer, & Sam Bowman, Should ASEAN Antitrust Laws Emulate European Competition Policy?, 67 Singap. Econ. Rev. 1637 (31 March 2021), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3709730.

[55] See, e.g., Oles Andriychuk, Do DMA Obligations for Gatekeepers Create Entitlements for Business Users?, 11 J. Antitrust Enforcement 123, 127 (2022) (“The means for allowing the second-tier ersatz-Big Tech to scale up is punitive: to slow down the current gatekeepers by imposing upon them a catalogue of exceptionally demanding obligations”.) (Emphasis added); id. at 131 (“This punitive nature of the DMA also means that the obligations can be blatantly arduous and interventionist”.) (emphasis added).

[56] Radic, supra note 51.

[57] Dae-sik & Sokol, supra note 5.

[58] McConnell, supra note 7.

[59] Lazar Radic & Geoffrey A. Manne, South Africa’s Competition Proposal Takes Europe’s DMA Model to the Extreme, Truth Mark. (15 August 2023), https://truthonthemarket.com/2023/08/15/south-africas-competition-proposal-takes-europes-dma-model-to-the-extreme.

[60] Christine S. Wilson, Welfare Standards Underlying Antitrust Enforcement: What You Measure Is What You Get, Fed. Trade Comm. (15 February 2019), available at https://www.ftc.gov/system/files/documents/public_statements/1455663/welfare_standard_speech_-_cmr-wilson.pdf; Svend Albæk, Consumer Welfare in EU Competition Policy, Eur. Comm. (2013), available at https://competition-policy.ec.europa.eu/system/files/2021-09/consumer_welfare_2013_en.pdf.

[61] Nicolas Petit & Lazar Radic, The Necessity of a Consumer Welfare Standard in Antitrust Analysis, ProMarket (18 December 2023) https://www.promarket.org/2023/12/18/the-necessity-of-a-consumer-welfare-standard-in-antitrust-analysis.

[62] Dirk Auer, The Broken Promises of Europe’s Digital Regulation, Truth Mark. (12 March 2024), https://truthonthemarket.com/2024/03/12/the-broken-promises-of-europes-digital-regulation.

[63] John Taladay & Maureen Ohlhausen, Are Competition Officials Abandoning Competition Principles?, 13 J.E.C.L. & Pract. 463 (5 July 2022), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4042226.

[64] Radic, Manne, & Auer, supra note 12.

[65] Dae-sik & Sokol, supra note 5.

[66] Carmelo Cennamo & Juan Santaló, Potential Risks and Unintended Effects of the New EU Digital Markets Act, Esade EcPol (February 2023), available at https://www.esade.edu/ecpol/wp-content/uploads/2023/02/AAFF_EcPol-OIGI_PaperSeries_04_Potentialrisks_ENG_v5.pdf.

[67] Adam Cohen, New Competition Rules Come with Trade-Offs, Google Blog (5 April 2024), https://blog.google/around-the-globe/google-europe/new-competition-rules-come-with-trade-offs.

[68] Mario Monti, Why and How? Why Should We Be Concerned with Cartels and Collusive Behaviour?, Eur. Comm. (11 September 2000), https://ec.europa.eu/commission/presscorner/detail/en/SPEECH_00_295.

[69] Geoffrey A. Manne, Error Costs in Digital Markets, GAI Report on the Digital Economy 3 (November 2020), available at https://gaidigitalreport.com/wp-content/uploads/2020/11/Manne-Error-Costs-in-Digital-Markets.pdf.

[70] Proposal Paper, supra note 1, at 6, 9-10.

[71] Digital Advertising Services Inquiry 2020-2021, Final Report, Aust. Compet. Consum. Comm (28 September 2021) https://www.accc.gov.au/about-us/publications/digital-advertising-services-inquiry-final-report.

[72] Geoffrey A. Manne & Eric Fruits, The Antitrust Assault on Ad Tech: A Law & Econ Critique, Int’l Ctr. L. Econ. (2022), available at https://laweconcenter.org/wp-content/uploads/2022/11/ICLE-White-Paper-2022-11-03-The-Antitrust-Assault-on-Ad-Tech-A-Law-Economics-Critique.pdf.

[73] United States v. Google LLC, No. 1:23-cv-00108 (D.D.C. 2023).

[74] Proposal Paper, supra note 1, at 20-21.

[75] Javier Delgado, DMA Implementation Sinks 30% of Clicks and Bookings on Google Hotels Ads, Mirai (7 May 2024), https://www.mirai.com/blog/dma-implementation-sinks-30-of-clicks-and-bookings-on-google-hotel-ads.

[76] Id.

[77] Id.

[78] Id.

[79] Oliver Bethell, Complying with the Digital Markets Act, Google Blog (5 March 2024), https://blog.google/around-the-globe/google-europe/complying-with-the-digital-markets-act.

[80] Cohen, supra note 67.

[81] See Jon Porter & David Pierce, Apple Is Bringing Sideloading and Alternate App Stores to the iPhone, The Verge (25 January 2024), https://www.theverge.com/2024/1/25/24050200/apple-third-party-app-storesallowed-iphone-ios-europe-digital-markets-act.

[82] See Complying with the Digital Markets Act, Apple (2024), available at https://developer.apple.com/security/complying-with-the-dma.pdf.

[83] Kim Mackrael, Apple’s Hold on the App Store Is Loosening, at Least in Europe, Wall St. J. (16 August 2024), https://www.wsj.com/tech/epic-games-apple-app-store-europe-44ceda50.

[84] Dan Goodin, Novel Technique Allows Malicious Apps to Escape iOS and Android Guardrails, ArsTechnica (21 August 2024), https://arstechnica.com/security/2024/08/novel-technique-allows-malicious-apps-toescape-ios-and-android-guardrails.

[85] See id., at 6 (“Both mobile operating systems employ mechanisms designed to help users steer clear of apps that steal their personal information, passwords, or other sensitive data. iOS bars the installation of all apps other than those available in its App Store, an approach widely known as the Walled Garden”).

[86] Jess Weatherbed, The First “Approved” iPhone Porn App is Coming to Europe, The Verge (3 February 2025) https://www.theverge.com/news/604937/iphone-ios-porn-app-hot-tub-altstore-pal-eu.

[87] Clare Duffy, Meta’s Threads is Now Available in the EU, CNN (14 December 2023), https://www.cnn.com/2023/12/14/tech/metas-threads-eu-launch/index.html.

[88] Rohan Goswami, Apple Intelligence Won’t Launch in EU in 2024 Due to Antitrust Regulation, Company Says, CNBC (21 June 2024) https://www.cnbc.com/2024/06/21/apple-ai-europe-dma-macos.html.

[89] Apple Intelligence Is Available Today on iPhone, iPad, and Mac, Apple (28 October 2024), https://www.apple.com/ie/newsroom/2024/10/apple-intelligence-is-available-today-on-iphone-ipad-and-mac (“This April, Apple Intelligence features will start to roll out to iPhone and iPad users in the EU. This will include many of the core features of Apple Intelligence, including Writing Tools, Genmoji, a redesigned Siri with richer language understanding, ChatGPT integration, and more”).

[90] Proposal Paper, supra note 1, at 21.

[91] Omar Vasquez Duque, Active Choice vs. Inertia? An Exploratory Assessment of the European Microsoft Case’s Choice Screen, 19 J. Comp. L. & Econ 60. (2023).

[92] Erik Hovenkamp, The Competitive Effects of Search Engine Defaults, SSRN (14 November 2024), at 21, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4647211 (“If a potential entrant (if successful) can obtain a default, this increases its ex ante investment and raises the probability of entry. In this case, the default may raise dynamic consumer welfare”).

[93] Proposal Paper, supra note 1, at 22.

[94] Jane Bambauer, Reinventing Cambridge Analytica One Good Intention at a Time, Lawfare (8 June 2022) https://www.lawfaremedia.org/article/reinventing-cambridge-analytica-one-good-intention-time.

[95] See infra, Section VI.

[96] Jonathan M. Barnett, The Host’s Dilemma: Strategic Forfeiture in Platform Markets for Informational Goods, 124 Harv. L. Rev. 1861, 1927 (2011).

[97] Proposal Paper, supra note 1, at 21.

[98] See infra, Section VI.

[99] See Geoffrey A. Manne, Against the Vertical Discrimination Presumption, Concurrences No. 2-2020 (2020), at 1; see also Barnett, supra note 96; Andrei Hagiu & Kevin Boudreau, Platform Rules: Multi-Sided Platforms as Regulators, in Platforms, Markets and Innovation (Annabelle Gawer, ed. 2009).

[100] Manne, id., at 1-2 (citing examples from the literature showing that complementors and consumers alike often benefit from platform self-preferencing); see also Sam Bowman & Geoffrey A. Manne, Platform Self Preferencing Can be Good for Consumers and Even Competitors, Truth Mark. (4 March 2021), https://laweconcenter.wpengine.com/2021/03/04/platform-self-preferencing-canbe-good-for-consumers-and-even-competitors.

[101] On self-inflicted dependence, see Geoffrey A. Manne, The Real Reason Foundem Foundered, Int’l Ctr. L. Econ. (2018), at 6, available at https://laweconcenter.org/wp-content/uploads/2018/05/mannethe_real_reaon_foundem_foundered_2018-05-02-1.pdf (“A content provider that makes itself dependent upon another company for distribution (or vice versa, of course) takes a significant risk. Although it may benefit from greater access to users, it places itself at the mercy of the other—or at least faces great difficulty (and great cost) adapting to unanticipated, crucial changes in distribution over which it has no control. This is a species of what economists call the ‘asset specificity’ problem”).

[102] Proposal Paper, supra note 1, at 21.

[103] Tom Marks, Report: Steam’s 30% Cut is Actually the Industry Standard, IGN (7 October 2019), https://www.ign.com/articles/2019/10/07/report-steams-30-cut-is-actually-the-industry-standard.

[104] Distributing Dating Apps in the Netherlands, Apple, https://developer.apple.com/support/storekit-external-entitlement (last visited 13 February 2025).

Regulatory Comments

Comments of RMIT and ICLE Scholars to the Australian Treasury Consultation on a New Digital Competition Regime

Executive summary

The Australian Treasury’s proposed competition regime for digital platforms is flawed and should not proceed.

The policy rationale for an ex ante regime is unjustified. The Competition and Consumer Act 2010 (CCA) already provides a comprehensive framework to address concerns such as market power, unfair contract terms, and self-preferencing. The Australian Competition and Consumer Commission (ACCC) has not demonstrated any compelling reason existing competition laws are insufficient to regulate digital platforms and has not sought to enforce them against digital platforms.

The proposed regime is based on a misunderstanding of competition in the digital economy. Digital markets are characterised by dynamic competition, where innovation and technological change are the primary drivers of consumer welfare. The proposed ex ante regime, with its focus on static competition, may dampen innovation incentives and create barriers to technology diffusion, harming Australian consumers and businesses in the long run. Competition policy for digital platforms should be based on a dynamic competition approach that fosters innovation.

The proposed regulatory mechanisms are problematic. The reliance on subordinate legislation for crucial policy decisions is inappropriate, reducing parliamentary oversight. This approach lacks transparency and accountability, and may lead to unintended consequences for the digital economy.

We urge the Australian Treasury to reconsider its approach to regulating digital platforms. Instead of imposing an ex ante regime, the focus should be on enforcing existing competition laws and fostering a dynamic environment of innovation. This approach would better serve Australia’s long-term economic interests and the continued growth of the digital sector.

I. Is there need for further competition law reform?

The Proposal Paper, taking its lead from the Australian Competition and Consumer Commission (ACCC), asserts that digital platforms necessitate a new, ex ante regulatory regime in Australia.[1] This opening section of our submission will primarily focus on how the Competition and Consumer Act 2010 (CCA) already provides a comprehensive framework for addressing competition concerns in the digital economy.

The proposal for ex ante regulation is based on the premise that existing laws are insufficient to address the unique challenges posed by digital platforms. Specifically, the Proposal Paper argues that:

The characteristics and dynamic nature of digital platform markets mean that enforcement of existing economy-wide provisions of the Competition and Consumer Act 2010 (Cth) (CCA) may not on its own be sufficient to protect and promote competition, or well-suited to addressing the range and scale of competition harms identified in digital platform markets.[2]

What are these characteristics? The Proposal Paper identifies three specific issues that are already subject to regulation under the CCA.

First, market power. The existence of market power is competition agnostic. Market power typically occurs as a consequence of innovation and efficiency. A firm that innovates, whether through introducing a new product or service, improving an existing offering, implementing a novel production process, or discovering a new market, may naturally attract a larger market share.[3] However, competition law is concerned about market power in two contexts: (a) acquisitions that would result in a substantial lessening of competition; and (b) misusing market power to have the effect of substantially lessening competition in that market or another market upstream or downstream. The first context is regulated by sections 45 and 50 of the CCA – and from January 2026 the ACCC will have new administrative powers for merger control[4] following a long-running campaign. The Proposal Paper refers to the merger reforms in passing but does not consider the ACCC’s enhanced ability to regulate market power in the digital economy. The second context is regulated by section 46 of the CCA, most recently modified in 2017 following the Harper Review.[5]

Second, “Take it or Leave it” terms. Unfair contract terms are principally consumer law issues rather than competition law issues. Unfair contract terms imposed by digital platforms (or indeed any other businesses) are already addressed by the Australian Consumer Law (ACL). Part 2-3 of the ACL voids terms of unfair standard-form contracts and pecuniary penalties may be imposed for a contravention. These are general provisions and will apply to contracts with digital platforms. Given the rationale of unequal bargaining power between parties, the unfair contract provisions are appropriately limited to consumer contracts and small business contracts. Further the ACL contains other general prohibitions such as misleading or deceptive conduct[6] and unconscionable conduct[7], both of which will capture a broad range of unfair or oppressive practices against consumers and businesses.

Third, self-preferencing. Self-preferencing is a common commercial practice and an instinct for businesses – if you build something valuable, you are naturally inclined to use it to your advantage. This does not mean that self-preferencing is anti-competitive. Taking a dynamic view of competition (further discussed in section 2) incentivising innovation, driving competition on the merits, enhancing user experience and ensuring quality control (further discussed in section 4) all tend to enhance consumer welfare. However, existing provisions in the CCA are also capable of addressing concerns about digital platforms favouring their own products or services. Depending on the type of conduct, these include prohibitions on contracts, arrangements or understandings that restrict dealings or affect competition (section 45), misuse of market power (section 46), and exclusive dealing (section 47).

The “economy-wide” provisions of the Act identified above are tailored to the specific economic circumstances of each case. That is, the prohibitions on restrictive trade practices in Part IV of the CCA are with reference to competition in markets. “Market” is defined in section 4E of the CCA as a “market in Australia and, when used in relation to any goods or services, includes a market for those goods or services and other goods or services that are substitutable for, or otherwise competitive with, the first-mentioned goods or services.” This definition provides a broad degree of flexibility – encompassing digital markets – while grounding legal analysis in economic reality. The ACCC might prefer to define a market narrowly, while digital platforms facing scrutiny might favour a broader market definition. The decision of how narrowly or broad to define a market is properly one for the Court to make on the basis of economic evidence presented by the parties. The ex ante proposal proposes to skip this crucial step in competition analysis.

The Proposal Paper appears to have accepted the ACCC’s reasoning that Court proceedings are lengthy, that conduct may continue despite regulatory action, and remedies may be insufficient to address sources of harm.[8] These are general criticisms of any ex post framework, not specific to digital platforms. The ACCC has a history of consumer law enforcement actions against digital platform businesses with notable successes including against Google,[9] Meta[10], and Uber[11]. These successes prompt a crucial question: If the ACCC can enforce consumer laws against digital platforms, why has it not similarly enforced competition laws? The most recent ‘root-and-branch’ review of competition law in Australia (Harper Review) did not canvas any need for an ex ante regime or raise any significant issues with enforcing competition law against digital platforms.

The reality is that the Federal government and the ACCC have prioritised a long-running digital platforms inquiry to agitate for greater regulatory power instead of enforcement action. After nine interim reports, with a tenth report to come – and a previous iteration of the inquiry that released its own issues paper, preliminary report, and final report – there appears to be insufficient evidence of actual (c.f. hypothetical) consumer harm to bring competition enforcement action.

It would be a mistake to confuse concerns relating to enforcement with market failure. If length of time and litigation cost are the key concerns impacting competition law enforcement, then there are practical things that the Federal government might do to directly address those issues. For instance, the Treasurer (through the Statement of Expectations and Statement of Intent) might direct the ACCC to prioritise personnel and resources towards enforcement. Additionally, the Treasury might work with the Attorney-General’s Department to review Federal Court resourcing and develop law reform to expedite or streamline regulatory enforcement cases.

The Proposal Paper seeks to move to a new framework without clearly articulating the reasons why existing provisions cannot be used to enforce anti-competitive conduct in digital platforms. In doing so, the Proposal Paper overlooks the inherent flexibility and adaptability of existing competition laws, which have proven effective in addressing competition concerns and protecting consumers in various sectors, including the digital economy. The next section examines why the proposed regulatory framework reflects an outdated, industrial era understanding of competition.

II. Digital competition regulation should be based on the principle of dynamic competition rather than industrial competition

Competition policy during the 20th century sought to address industrial concentration and power that harmed consumers with high prices and limited choice. However, today, that world of industrial monopoly due to scale economies is ending. While there are still powerful economic forces pushing toward bigness – and which have produced the so-called ‘big tech’ platforms – the competitive logic that both creates and destroys these new digital giants is not the same as the previous era. Digital economies are different to industrial economies and require a different approach to competition policy. Rather than focusing on industrial concentration, the Treasury should conceptualise competition based on a dynamic model.

Digital economies have lower transaction costs than industrial economies, and scale differently. They have lower communication costs, search costs, verification costs, and networking costs, all of which increases economic complexity.[12] Business models for value appropriation and capture work differently in digital economies, often relying heavily on co- specialised assets and control of ecosystem bottlenecks. We can understand ecosystems as “groups of firms that must deal with either unique or supermodular complementarities that are nongeneric, requiring the creation of a specific structure of relationships and alignment to create value”.[13] The strategic competitive need to create these complex complementary assets and complementary technologies “are more significant than ever in a world of competing and intersecting digital platforms”.[14] In consequence, digital economies bring profound new regulatory challenges.[15]

Overall, the most important difference is in the way that competition works. Specifically, a digital economy is dominated by dynamic competition. Now of course industrial economies also experienced both static and dynamic competition, as Schumpeter long ago explained. But in digital economies, dynamic competition is the dominant force, often even in the short run. This insight should be the starting point of any new digital competition regime. This section unpacks dynamic competition and its implications.

2.1. Dynamic competition explains competition in digital markets

There are two types of competition in a modern economy and, correspondingly, two paradigms of competition economics:

  1. Static competition – the paradigm of neoclassical economics and modern industrial organisation theory. Static competition is price competition in a given market. It competes for existing and known rents.
  2. Dynamic competition – the evolutionary paradigm of complexity economics and strategy.[16] Dynamic competition is evolutionary discovery and innovation of future markets. It competes for new rents, under high uncertainty.

The central idea of dynamic competition is that there are two mechanisms by which competition unfolds. The first is static competition which works through pricing (in existing markets, with given products and technologies). The second is dynamic competition which works through innovation (i.e. the creation of new markets through innovation of new products and technologies). Dynamic competition theory acknowledges the economic logic of static competition in given markets and the consequences for consumer welfare but argues that an even larger and more important force is often at work in shaping how competition affects consumer welfare through innovation and discovery.

Dynamic competition theory has deep roots in modern economics, building on Schumpeter’s argument that innovation is the main source of consumer welfare in the long-run, and on Hayek’s observation that consumer wishes are not given information and therefore that competition is a discovery process.[17] Innovation drives competition as much as competition drives innovation. Dynamic competition comes from

the new commodity, the new technology, the new source of supply, the new type of organization – competition which commands a decisive cost or quality advantage and which strikes not at the margins or profits and the output of existing firms but at their foundations and very lives.[18]

The idea that innovation causes competition is the foundation of dynamic competition theory. It follows that a major purpose and goal of competition policy is to support and incentivise innovation.

Dynamic competition is about new entrants and incumbents engaging in new product and process development in order to create entirely new markets and product categories. In environments characterized by innovation, firms do not just look “sideways” to rivals. They look “forward” and anticipate (and create) latent competition in order to satisfy existing and future user/customer needs, thereby unlocking potential demand and stimulating economic development and growth. Frequent new product introductions, often followed by price declines, are commonplace.[19]

The mechanism by which dynamic competition works is innovation to create future markets through the strategic development of dynamic capabilities.[20] These are capabilities to innovate, and involve organisational, technological, and managerial capabilities.

We define dynamic capabilities as the firm’s processes that use resources – specifically the processes to integrate, reconfigure, gain and release resources – to match and even create market change. Dynamic capabilities thus are the organisational and strategic routines by which firms achieve new resource configurations as markets emerge, collide, split, evolve and die.[21]

Dynamic capabilities are the sensing, seizing, transforming skills that enable a firm to identify, develop, market, and sell innovative products and are a form of evolutionary capital. The strategic management literature finds considerable evidence that strong dynamic capabilities are the leading cause of success in big tech firms.[22] The ability to build new internal and external capabilities for innovation enables firms to develop competitive advantage and thus enhances competition in advanced markets. These decisive capabilities for dynamic competition must be built through investment, including acquisition. Firms differentially develop these strategic capabilities, which can be difficult to observe, and often are only evident ex post.

Modern competition policy tends to focus on static competition. There are several reasons for this. The first reason is that the theory supporting it is both more widely known (standard industrial organisation) and operationalizable (e.g. by observation of firm concentration measures and prices). On the other hand, dynamic competition economics is less well- known (it is usually taught as advanced economic and business strategy training rather than as undergraduate introductory courses) and requires focus on more complex and difficult to measure objects (innovation inputs, entrepreneurial processes, capabilities, ecosystems).

Another reason competition policy analysis and enforcement rarely considers innovation- focused dynamic competition is because it is harder to make arguments and assemble evidence. Because dynamic competition is future oriented evidence of harms (and benefits) does not exist ex ante but must be constructed or inferred. That requires specialist capabilities that regulators generally lack. Consequently, it is easier to base policy and enforcements on static economic arguments about how competition works to infer consumer benefits from existing (rather than future) consumers.[23] The upshot is that a competition policy that focuses on dynamic competition is harder to do. Even still, it can be done and is worth doing – and especially so in the context of digital competition.

2.2. Digital competition policy should be primarily based on dynamic competition

Modern competition policy is centred on the paradigm of static competition that often struggles to capture dynamic capabilities. This can lead to a misjudgement of the very market processes needed to build these capabilities, such as mergers and acquisitions, which are essential for firms to compete effectively. While the focus of static competition may be less problematic in traditional industrial markets, it becomes a significant issue in the context of the digital economy where innovation and dynamic competition are the primary drivers of consumer welfare.

The proposed new digital competition regime risks perpetuating this oversight. A dynamic competition approach should seek to understand how to bring up the long term faster, and to safeguard and support the short term capabilities that enable dynamic competition.

The standard theory of digital economics builds on the significance of non-rivalry, the business model of platforms (and zero prices on one side of the market) and the importance of information as an economic good and as central to value appropriation.[24] The static IO model of platform competition then emphasises the monopoly power (winner-take-most effects) that large platforms have due to network effects and consumer switching costs.

There is no innovation aspect of this model.

In contrast, a dynamic competition perspective recognises that firms are not merely competing for existing rents but are striving to discover and capture future rents through investments in innovation. This requires building competencies and capabilities for innovation that may be difficult for regulators to distinguish from monopolistic behaviour ex ante. The capabilities that matter to dynamic competition are managerial, technological, and organisational. The efforts that firms go to by building capabilities to discover and capture these rents will be difficult to distinguish for competition regulators from monopolistic behaviour. It should be noted of course that high profit does not necessarily mean monopoly rents from exploitation of monopoly power. Rents may come from superior efficiency, including dynamic efficiency or innovation. This is why ex ante rules designed to mitigate static competition abuses will inadvertently harm the dynamic competition mechanisms that ultimate benefit consumers.

Fostering dynamic competition in the digital economy requires a shift in focus. It also requires a policy that rewards the search for excellence under uncertainty, and that displays higher tolerance towards positions of structural monopoly that arise from genuine innovation.

2.3. Digital markets bundle platform with product

Consider one further observation about why digital economy competition is fundamentally different – namely that digital dynamic competition involves innovation not only at the product level (i.e. of the good or service), but also in the institutional layer below on which that service is operationalised and delivered.

In other words, in digital industries ‘large tech firms’ often produce both a product plus the network on which it runs. They are not factories. They are usually platforms. This is apparent in old digital industries, such as telecommunications and social media, as well as new decentralised computational industries such as blockchain and artificial intelligence. Bitcoin, for instance, is not just a digital token (i.e. a money), but a token plus the transfer, settlement, and security layer on which it operates. The key point is that consumer benefit accrues not just to the token (and its price) but to the properties of the network.

Competition policy should therefore be just as interested in the innovation potential and capabilities of the platform or network as the good or service itself. Indeed, from the long-run consumer perspective, innovation on the network or platform is generally the precondition for innovation in the good or service. A major source of innovations that build future markets are dynamic capabilities assembled in modern business ecosystems directed at platform innovation.[25] Unfortunately, the proposed ex ante framework fails to adequately address these considerations and, as discussed in the next section, raises significant concerns.

III. Concerns with the design of the legislative framework

The proposed regulatory framework consists of broad obligations and service-specific obligations that are applied to all services (digital platforms in respect to the specific services that they provide consumers) that have been designated by the relevant minister (presumably the Treasurer or Assistant Treasurer). Broad obligations are general rules that all designated entities must follow and are proposed to be implemented in primary legislation. They are designed to prevent anti-competitive behaviour, promote transparency, and ensure fairness. Examples include prohibitions on anti-competitive self-preferencing, restrictions on tying, measures to prevent impediments to consumer switching, and rules ensuring interoperability and transparency. They are highly general and in part duplicative of existing competition law, as discussed above.

Service-specific obligations apply the broad obligations to the direct context of the service. It is proposed that these are tailored rules for different types of services (e.g., app marketplaces, ad tech). They specify how designated entities must comply with broad obligations. These obligations are implemented through subordinate legislation.

All designated entities must comply with broad obligations regardless of whether service- specific obligations exist. If service-specific obligations are established, failing to meet them constitutes a breach of the corresponding broad obligation.

The proposed framework is extremely ambitious in its design. It seeks to design an ex ante regulatory system that can regulate not just a specific set of digital platforms with known and specific business models but all digital platforms with heterogeneous business models in a rapidly shifting market environment, as well as all future digital platforms that might operate in Australia. This presents a challenge for ex ante regulation that ex post common law regulatory systems are better equipped to address. This section focuses on our concerns with the structure and design of the proposed legislative framework, moving beyond the rationale and theoretical underpinnings.

3.1. Subordinate legislation is inappropriate for substantive policy

The structure outlined in the Proposal Paper attempts to establish broad principles of conduct in digital markets above and beyond the existing competition law while recognising that digital markets are heterogeneous and what it means to be (for example) ‘transparent’ or ‘interoperable’ in any given digital market is highly contextual. We have raised concerns above with the need for new competition law along these lines. Here we consider a separate concern with the proposed framework: introducing the service specific obligations as subordinate legislation is inappropriate. If the Proposal Paper is any guide, the scale and scope of service-specific obligations are of such significance that they should be enacted through primary legislation.

Consider for example the question of interoperability. The Proposal Paper argues that “Restrictions on interoperability that limit effective competition” would be appropriate for broad obligations.[26] Interoperability might seem to be prima facie desirable. But interoperability is a highly complex, multifaceted concept that has significantly different meanings and different modes of operation. As one of us has argued in the Internet Policy Review, “the study of interoperability per se is highly domain-specific and used in many fields to describe a variety of system characteristics”.[27] Interoperability can consist of technical interoperability (the ability of different technological systems, platforms, or devices to communicate and exchange information), syntactic and semantic interoperability (how data is structured for exchange, and how data is understood), and organisational interoperability (and capable organisations are to actual share resources and align processes). Developing specific criteria on the processes by which heterogeneous services might be considered to be ‘interoperable’ is not a technical matter that can be delegated to regulators.

The Proposal Paper’s examples illustrate this point. The ACCC has argued that competition is being limited by, for example, “mobile OS providers not providing third-party providers of apps and services with reasonable and equivalent access to hardware, software, and functionality”.[28] It might be reasonable for parliament to delegate to regulators and subordinate legislation what is meant by “reasonable and equivalent” or what appropriate level of hardware access, software interface or functionality would be considered to be truly interoperable (noting, of course, that these are complex decisions with deep policy impacts and regulatory costs). But it is not reasonable to delegate the entire question of whether interoperability in this form is a minor question of implementation. There are an enormous variety of mechanisms by which the principle of ‘interoperability’ could be regulated, and these should be understood as policy rather than implementation questions.

This is true for each of the domains in the Proposal Paper. As we discuss below, rules governing self-preferencing, in-app payment restrictions, and access to APIs and system- level features for app stores have far-reaching consequences, not just for the affected platforms but for thousands of Australian businesses and millions of consumers. Similarly, ad tech services, which form the backbone of digital advertising, are governed by complex supply chains. Obligations to ensure transparency in auction processes, data access, and competition between ad networks affect not only the business models of dominant platforms but also the viability of media organisations, independent publishers, and advertisers across the economy. Given the economic weight of these sectors and their central role in digital commerce, decisions about their regulation are substantive matters of policy.

Moreover, the implications of these obligations extend well beyond market efficiency and competition law—they touch on fundamental questions of consumer rights, data governance, and national digital sovereignty. Interoperability is not just a technical specification but a policy choice that determines the degree to which different platforms and services can function together, shaping user control, market entry for new firms, and long-term technological innovation. Similarly, rules governing algorithmic transparency in search and recommendation engines influence the visibility of businesses and the diversity of content Australians engage with daily. If Australia follows suit in regulating these industries, the legal framework must reflect the scale of intervention.

3.2. Service-specific obligations should not be subject to a lower standard of public scrutiny and democratic debate through the subordinate legislation mechanism.

Each ‘service-specific’ obligation as described in the Proposal Paper represents the wholesale regulation of major and economically critical industries and will affect every Australian consumer. Subordinate legislation is however subject to a much lower bar of public debate and scrutiny. Handing off significant policy areas to subordinate legislation reduces the democratic discussion necessary to provide those policies with parliamentary legitimacy.

It is correct that subordinate legislation is subject to disallowance by the parliament. For minor areas of implementation and regulatory specifics, the disallowance process works well, sometimes surfacing controversial policy decisions that parliament disagrees with the executive on. But at the same time the disallowance mechanism is designed as an emergency democratic backstop – a handbrake on the executive to ensure parliamentary supremacy. Parliament faces an “avalanche” of subordinate legislation to which it can only draw so much attention.[29] By contrast, primary legislation undergoes a comprehensive process involving multiple readings, debates, and committee reviews in both legislative chambers, ensuring thorough scrutiny and democratic accountability. This rigorous procedure allows elected representatives to examine, amend, and vote on proposed laws, reflecting the will of the electorate. Primary legislation must be positively approved by the parliament – it is not the subject of a structural assumption that it will be implemented unless parliament objects.

The disallowance mechanism also only functions effectively as a democratic protection while the opposition and crossbench are able get a majority for disallowance. While it has been nearly two decades since a government controlled the Senate, the desirability of this legislative framework should not be predicated on the government being a minority in the upper house.

3.3. The process of subordinate legislation reduces the scrutiny of regulation from other affected government departments, particularly departments focused on cybersecurity.

The parliamentary process does not only afford parliamentarians and the public to scrutinise legislation – it also opens opportunities for other government departments to scrutinise proposals. This is particularly important in the case of digital market regulation. Below we describe some of the critical national security issues that the specific proposals suggested by the Proposal Paper might trigger. Regulations under competition policy intersect with cybersecurity concerns as the technical structure of software which has access to important or private information about users is vulnerable to bad actors, both state and non-state.

Recent controversies around the social media application TikTok and the AI application DeepSeek – both of which have been banned for use on government devices – underline the point that policy decisions to force changes to technical systems are not simply the domain of competition regulation, and not simply the provenance of Treasury or other economic ministries. Where subordinate legislation is not subject to full cabinet consideration and discussion, this means that relevant ministries and departments (particularly national security agencies) will have less visibility over critical regulations that affect the cybersecurity of Australian citizens.

3.4. It is standard practice that matters of policy significance should be in primary legislation.

That matters of policy significance should be implemented through primary legislation is a settled matter of Commonwealth parliamentary practice. The 2017 Legislation Handbook outlines the principles by which rules should be considered as primary rather than subordinate legislation (section 1.10). We draw attention to the following principles, each of which describe policies which are proposed to be ‘service-specific’ obligations:

(b) significant questions of policy including significant new policy or fundamental changes to existing policy;

(c) rules which have a significant impact on human rights and personal liberties;

(d) provisions imposing obligations on individuals or organisations to undertake certain activities (e.g. to provide information or submit documentation, noting that the detail of the information or documentation required may be included in subordinate legislation) or desist from activities (e.g. to prohibit an activity and impose penalties or sanctions for engaging in an activity);

(j) procedural matters that go to the essence of the legislative scheme;

In addition, section 5.66 of the Legislation Handbook notes that while using subordinate legislation to simplify primary legislation is desirable, this should not come at the expense of reducing parliamentary control over government policy.

This is reflected further in the Senate Scrutiny of Delegated Legislation Committee’s guidelines:

Significant elements of a program of national significance or a regulatory scheme should ordinarily be included in primary rather than delegated legislation, due to the higher level of parliamentary scrutiny associated with the legislative process for primary legislation.

3.5. The designation process leaves too much discretion to the minister.

The proposed designation process grants the minister significant discretion in determining which digital platforms are subject to the new regulatory framework. While the ACCC is tasked with conducting investigations and making recommendations, the final designation decision rests solely with the minister (and as a matter of administrative law should not merely follow the advice). This structure grants excessive ministerial authority, as it enables political influence over which platforms are regulated and under what conditions.

Furthermore, while the ACCC is responsible for gathering information and consulting stakeholders, there is no clear requirement for public disclosure of its findings before the minister makes a designation decision, reducing transparency and accountability.

Additionally, while the designation process is proposed to rely on a mix of quantitative thresholds and qualitative assessments, it is the minister who ultimately determines how these factors are weighed. The proposed approach allows the minister to direct the ACCC to conduct investigations at their discretion and make designation decisions with limited parliamentary oversight. This process risks consolidating too much regulatory power in the hands of a single government official.

The five-year designation period, while apparently intended to balance regulatory stability with regular review, also means that platforms could be subject to significant obligations that are inappropriate and harmful to both competition and innovation. The recent evolution of the market for search – which is increasingly being challenged and modified by artificial intelligent systems both within ‘traditional’ search platforms (like Google’s Gemini search function at the top of the Google search results) and outside them (like the search functions built into Anthropic’s Claude, OpenAI’s ChatGPT, and aggregators such as Perplexity) shows how rapidly digital markets can change.

3.6. All obligations both broad and service-specific should be subject to parliamentary scrutiny though primary legislation.

Australia should not adopt an ex ante competition policy framework. However, if it does then all obligations should be written into primary legislation so that they are subject to proper parliamentary scrutiny. The experience from ex ante regimes in other jurisdictions demonstrate that they are not mere technical changes – they are radical market interventions requiring substantive changes to how major digital platforms operate.[30] The current proposed two-tier framework, by relegating “service-specific” obligations to subordinate legislation, fails to acknowledge that these decisions will reshape Australian business models, innovation incentives, and cybersecurity risks. We should not rely on disallowance processes to ensure we grow Australia’s prosperity and maintain our safety.

The claim that subordinate legislation provides necessary flexibility and adaptability ignores the profound market consequences at stake. Consider the real impacts already seen overseas, such as a 17.6% drop in hotel booking clicks for one company following the introduction of ex ante competition rules.[31] In Australia, these changes would affect how local businesses advertise and how consumers compare travel options and make purchases. While technology may evolve rapidly, the fundamental reshaping of business models and market structures demands thorough legislative scrutiny, not just hopes of disallowances.

Australia needs parliamentary scrutiny and debate over obligations that grapple with:

  • Trade-offs between competition and national security: Opening platforms to third-party access creates security vulnerabilities that jeopardise Australian user data. Mandatory third-party app stores significantly complicate security scanning and malware prevention, leading digital platforms to combat the impacts of these changes through imperfect safeguards.[32]
  • Escalating implementation and compliance burdens: Building new API infrastructures, security monitoring systems, and support systems for third parties is not merely technical Estimates of the compliance cost burden of the DMA on US firms has been in the tens of billions of dollars.[33] Whatever the cost burden in Australia, it will ultimately fall on Australian people and businesses who rely on these critical services.
  • Weaponisation by small competitors to impose costs on large competitors: Rather than investing resources into developing their own capabilities, smaller firms could use these service-specific obligations to transfer costs onto larger rivals. For instance, instead of building interoperability with existing hardware, firms might demand access under regulation. This strategic move would effectively shift R&D costs to competitors, creating perverse incentives that reward regulatory rent seeking over genuine innovation. There is evidence from the EU DMA experience that smaller “middleman” firms are continuing to push for more changes to the major digital platforms, pushing further costs onto them through regulation.[34] The EU DMA experience also shows app stores being forced into approving apps that may go against community values and expectations.[35]

The issues outlined in this section highlight the need for a more transparent legislative framework that prioritises policy scrutiny. The inappropriate reliance on subordinate legislation and ministerial discretion raises concerns about the potential for regulatory overreach and unintended consequences. In the next section, we will examine specific examples of service-specific regulations and their potential economic impacts, further illustrating the need for a more cautious and considered approach to regulating digital markets.

IV. The example service-specific regulations could have significant and harmful economic consequences

These immediate impacts point to deeper and more troubling consequences for Australia’s future. When regulation increases costs and complexity while enabling rent-seeking behaviour, it alters innovation incentives. There are two main ways that this manifests. First, major platforms’ willingness to invest in innovations that ultimately benefit Australian consumers and businesses. Second, new barriers to the adoption and diffusion of technologies into the Australian economy. Both are major challenges given that technological change is the primary driver of economic growth and prosperity. In this section we will consider both consequences in detail.

4.1. Many obligations will directly dampen incentives to invest in technology and innovation.

The Proposal Paper’s suggested requirement that a digital platform must “provide third-party providers with reasonable and equivalent access to hardware, software, and functionality”[36] will lead designated companies to factor mandatory sharing into every major R&D decision. Consider a tech company contemplating a large investment in developing new AI security features. When making the decision to make this risky investment a proposed ex ante regime would threaten that, if successful, any breakthrough might need to be immediately shared with competitors. How would they recoup R&D costs or build a competitive advantage? When combined with the security and compliance burdens outlined above, this creates a clear disincentive for investing in innovations that would benefit Australian users.

4.2. Proposed obligations also raise barriers to the diffusion of technologies – preventing innovations from reaching Australian consumers and businesses.

Technologies and products don’t only need to be invented and developed, they also need to spread. Responding to various ex ante obligations, in other markets we have seen market distortions that hurt domestic consumers and businesses by requiring major changes by digital platforms. For instance, Google has undergone a series of changes in how maps and hotel bookings interact[37] as well as the reduced visibility of the Google flights feature.[38] Meta delayed the rollout of its then-new social media platform, Threads, because of regulatory uncertainty[39] while Apple withheld the launch of frontier AI features because of potential security risks.[40]

Australia is a small economy and should expect that similar ex ante rules will also deter major firms from operating here. Not only will digital platforms likely reduce R&D investment knowing they cannot protect their innovations, but they might also delay or downgrade product releases rather than pay the costs of adapting to radical Australian requirements.

Below we outline some examples of service-specific obligations and their major economic consequences:

Service-specific conduct to be addressed in subordinate legislation Major economic impacts for Australian businesses and consumers
“App marketplaces providing more favourable treatment to their own apps in app store search result rankings”
  • Today platforms invest heavily in developing high-quality first-party apps because they can recover these costs through prominent placement. If forced to give equal ranking regardless of quality, the incentive to invest in expensive app development diminishes.
  • Platforms that cross-subsidise marketplace operations with revenue from first-party apps might increase fees on third-party developers to maintain the necessary infrastructure.
  • Many consumers benefit from discovering deeply integrated first-party apps. Mandatory equal treatment could paradoxically reduce Australian consumer welfare by making it harder to find well-integrated solutions that work seamlessly with the platform.
“Mobile OS providers not providing third-party providers of apps and services with reasonable and equivalent access to hardware, software, and functionality”
  • Smaller firms could strategically use these access requirements to shift development costs onto larger platforms. This shift incentivises regulatory rent-seeking over genuine innovation.
  • Mandatory third-party access would force them to either accept higher security risks or build costly new validation systems.
  • When developing new hardware features or APIs, they would now have to factor in immediate mandatory sharing with competitors, leading them to delay or reduce investment in new capabilities that could benefit users.
“App marketplaces restricting developers’ ability to communicate to consumers regarding alternative payment or purchase channels”
  • Today platforms invest in secure payment systems, fraud prevention, and refund processes, recovering costs through transaction fees. But if developers can steer users to external payment systems while still benefiting from platform services, platforms would likely shift to higher base fees that could particularly hurt smaller developers.
  • Fragmented payment flows create new opportunities for fraud and make dispute resolution more complex. This increases security costs.

These are just some examples of specific conduct under just two types of digital platforms into the proposal. Even from these examples it is clear even from these examples that the artificial distinction between “broad” and “service-specific” obligations threatens to push major economic interventions into subordinate legislation. We need proper democratic oversight of changes that could affect billions in investment, reshape fundamental business models, and create significant security risks. All obligations – including those characterised as “service-specific” – should be subject to parliamentary scrutiny through primary legislation.

This is also coming at a time when these firms are being revolutionised by new AI platforms. The traditional digital platforms targeted by this regulation are themselves navigating the integration of AI capabilities throughout their products and services. Imposing rigid structural obligations now, without fully understanding how AI will reshape these markets, risks constraining innovation just as our digital economy undergoes fundamental change.

We are also yet to see how general obligations might apply to emerging platforms such as AI models themselves. How would data portability requirements apply to large language models where user interactions help refine and improve the model? Would users have a right to port their chat histories and custom instructions between AI services? Large language models increasingly serve as search interfaces, but with fundamentally different architectures than traditional search engines. How would self-preferencing obligations apply here? If an AI platform promotes its own products or services in responses, would this constitute unfair self-preferencing? The proposal’s focus on traditional digital advertising may not adequately capture these new forms of commercial influence. Even more fundamentally, many AI platforms operate as both infrastructure providers and application developers. They offer APIs for others to build on while developing their own consumer-facing products. Anti- tying and interoperability requirements could significantly impact this dual role. Would AI platforms be required to offer competitors equal access to their most advanced models?

Could they bundle their models with implementation tools and services? These questions go to the heart of competition in AI markets and further underscore the need for deep parliamentary scrutiny of all obligations.

Conclusion

The proposed ex ante competition regime for digital platforms raises significant concerns. The Australian Treasury should reconsider its approach – focusing on enforcing existing competition laws, policy based on dynamic competition, and incentivising innovation to benefit Australian consumers over the long-run.

[1] Treasury, ‘Digital platforms – a proposed new digital competition regime’ (Proposal Paper, December 2024) (Proposal Paper); Australian Competition and Consumer Commission, ‘Digital Platform Services Inquiry – Discussion Paper for Interim Report No. 5: Updating competition and consumer law for digital platform services’ (Discussion Paper, February 2022) (ACCC Digital Platforms Inquiry Interim Report 2022).

[2] Proposal Paper, p. 4.

[3] Schumpeter (1934)

[4] Treasury Laws Amendment (Mergers and Acquisitions Reform) Act 2024 (Cth).

[5] Competition and Consumer Amendment (Misuse of Market Power) Act 2017 (Cth).

[6] Section 18 ACL.

[7] Sections 20-22 ACL.

[8] See: ACCC Digital Platforms Inquiry Interim Report 2022, p. 51.

[9] ACCC v Google LLC (No. 4) [2022] FCA 942; ACCC v Google LLC (No. 2) [2021] FCA 367.

[10] ACCC v Meta Platforms Inc [2023] FCA 842.

[11] ACCC v Uber BV [2022] FCA 1466.

[12] Goldfarb and Tucker (2019)

[13] Jacobides et al (2016: 2263)

[14] Teece (2018: 1382)

[15] Jacobides et al (2024)

[16] Teece (2023)

[17] Schumpeter (1943); Hayek (1945).

[18] Schumpeter (1943: 85)

[19] Teece (2023)

[20] Teece et al (1997), Pisano and Teece (2007), Sutton (2012), Teece (2007, 2018, 2019)

[21] Eisenhardt and Martin (2000: 1107)

[22] Helfat and Peteraf (2015)

[23] Potts (2023)

[24] Goldfarb and Tucker (2019)

[25] Teece (2012), Teece (2018), Petit and Teece (2021).

[26] Proposal Paper, p. 19.

[27] Berg (2024).

[28] Proposal Paper, p. 22.

[29] Kirrily Schwarz (2020) “Who is making our laws? The separation of powers in 2020” LSJ. 11 November, https://lsj.com.au/articles/who-is-making-our-laws-the-separation-of-powers-in-2020/

[30] On some of the ways “gatekeepers” under the EU’s DMA have responded see: https://www.theverge.com/2024/3/6/24091592/eu-dma-competition-compliance-deadline-big-tech- policy-changes

[31] See: https://truthonthemarket.com/2024/03/12/the-broken-promises-of-europes-digital-regulation/.

[32] See: https://www.apple.com/newsroom/2024/01/apple-announces-changes-to-ios-safari-and-the- app-store-in-the-european-union/; and see further: https://developer.apple.com/security/complying- with-the-dma.pdf

[33] See Kati Suominen (2022) “Implications of the European Union’s Digital Regulations on U.S. and EU Economic and Strategic Interests”, Report for the Centre for Strategic Studies. available online, https://csis-website-prod.s3.amazonaws.com/s3fs-public/2023-02/221122_EU_DigitalRegulations- 3.pdf?VersionId=04r7zBzS2kHNhsISAqn4NkC6lGNgip7S

[34] See: https://medium.com/chamber-of-progress/the-digital-markets-acts-statler-waldorf-problem- 2c9b6786bb55

[35] See: https://9to5mac.com/2025/02/03/apple-forced-to-approve-porn-app-on-eu-iphones-due-to- dma/

[36] Proposal Paper, p. 22.

[37] See: https://blog.google/around-the-globe/google-europe/an-update-on-our-preparations-for-the- dma/ https://blog.google/around-the-globe/google-europe/dma-compliance-update/ https://blog.google/around-the-globe/google-europe/complying-with-the-digital-markets-act/

[38] See: https://blog.google/around-the-globe/google-europe/an-update-on-our-preparations-for-the- dma/

[39] See: https://www.theverge.com/23789754/threads-meta-twitter-eu-dma-digital-markets

[40] See: https://www.cnbc.com/2024/06/21/apple-ai-europe-dma-macos.html

 

Regulatory Comments

Policy Without Policymaking: Australia’s New Digital Competition Regime Is Primarily Designed to Get Through Parliament

The Australian government’s announcement earlier this month of a proposed new competition regime for digital marketplaces has a long history.

The Australian Competition and Consumer Commission (ACCC) has been investigating digital-market competition for nearly a decade. The latest iteration of the ACCC’s digital platforms inquiry has published nine interim reports, with a tenth report to come. A previous iteration of the inquiry also released its own issues paper, preliminary report, and final report.

Read the full piece here.

TOTM

The View from Australia: A TOTM Q&A with Allan Fels

Our latest guest in Truth on the Market’s “Global Voices Forum” series is Professor Allan Fels, AO, of the University of Melbourne Law School. Allan is the retired foundation dean of the Australia and New Zealand School of Government (ANZSOG). Perhaps more famously, he was the chair of the Australian Competition & Consumer Commission (ACCC) from its inception in 1995 until June 2003.

Read the full piece here.

TOTM

ICLE Response to the Australian Competition Taskforce’s Merger Reform Consultation

I. About the International Center for Law & Economics

The International Center for Law & Economics (“ICLE”) is a nonprofit, non-partisan global research and policy center founded with the goal of building the intellectual foundations for sensible, economically grounded policy. ICLE promotes the use of law & economics methodologies to inform public-policy debates and has longstanding expertise in the evaluation of antitrust law and policy.

ICLE’s interest is to ensure that antitrust law remains grounded in clear rules, established precedent, a record of evidence, and sound economic analysis. Some of the proposals in the Competition Taskforce’s Reform Consultation (“Consultation”) threaten to erode such foundations by, among other things, shifting toward merger analysis that focuses on the number of competitors, rather than the impact on competition, as well as reversing the burden of proof; curtailing rights of defense; and adopting an unduly strict approach to mergers in particular sectors. Our overriding concern is that intellectually coherent antitrust policy must focus on safeguarding competition and the interests of consumers.

In its ongoing efforts to contribute to ensuring that antitrust law in general, and merger control in particular, remain tethered to sound principles of economics, law, and due process, ICLE has submitted responses to consultations and published papers, articles, and reports in a number of jurisdictions, including the European Union, the United States, Brazil, the Republic of Korea, the United Kingdom, and India. These and other publications are available on ICLE’s website.[1]

II. Summary of Key Points

We appreciate the opportunity to comment on the Competition Taskforce’s Consultation. Our comments below mirror the structure of the main body of the Consultation. Section by section, we suggest improvements to the Consultation’s approach, as well as citing background law and economics that we believe the Treasury should keep in mind as it considers whether to move forward with merger reform in Australia.

  • Question 6 — Australia should not skew its merger regime toward blocking mergers under conditions of uncertainty. Uncertainty is endemic in merger control. Since the vast majority of mergers are procompetitive—including mergers in what is commonly called the “digital sector”—an error-cost-analysis approach would suggest that false negatives are preferable to false positives. Concrete evidence of a likely substantial lessening of competition post-merger should continue to be the decisive factor in decisions to block a merger, not uncertainty about its effects.
  • Question 8 — While potential competition and so-called “killer acquisitions” are important theories for the Australian Competition and Consumer Commission (“ACCC”) to consider when engaging in merger review, neither suggest that the burden of proof needed to reject a merger should be changed, nor do they warrant an overhaul of the existing merger regime. Furthermore, given the paucity of evidence finding “killer acquisitions” in the real world, it is highly unlikely that any economic woes that Australia currently faces can be blamed on an epidemic of killer acquisitions or acquisitions of potential/nascent competitors. If the Treasury is going to adopt any rules to address these theories of harm, it should do so in a manner consistent with the error-cost framework (see reply to Question 6) and should not undercut the benefits and incentives that startup firms derive from the prospect of being acquired by a larger player.
  • Question 9 — Merger control should remain tethered to the analysis of competitive effects within the framework of the significant lessening of competition test (“SLC test”), rather than seeking to foster any particular market structure. Market structure is, at best, an imperfect proxy for competitive effects and, at worst, a deeply misleading one. As such, it should remain just one tool among many in merger analysis, rather than an end in itself.
  • Question 13 — In deciding whether to impose a mandatory-notification regime, Australia should be guided by error-cost considerations, and not merely seek to replicate international trends. While there are sound reasons to prefer a system of mandatory-merger notifications, the Treasury cannot ignore the costs of filing mergers or of reviewing them. It should be noted that some studies suggest that voluntary merger notification may achieve objectives similar to those achieved by compulsory systems at lower cost to the merging parties, as well as to the regulator. If the Treasury nonetheless decides to impose mandatory notification, it should seek to contain unnecessary costs by setting a reasonable turnover threshold, thereby filtering out transactions with little-to-no potential for anticompetitive harm.
  • Question 17 —Australian merger control should require that a decisionmaker be satisfied that a merger would likely and substantially lessen competition before blocking it, rather than effectively reversing the burden of proof by requiring that merging parties demonstrate that it would not. In a misguided attempt to shift the costs of erroneous decisions from the public to the merging parties, the ACCC’s proposal forgets that false positives also impose costs on the public, most notably in the form of foregone consumer benefits. In addition, since the vast majority of mergers are procompetitive, including mergers in the digital sector, there is no objective empirical basis for reversing the burden of proof along the proposed lines.
  • Question 18 — The SLC test should not be amended to include acquisitions that “entrench, materially increase or materially extend a position of substantial market power.” First, the Consultation seems to conflate instances of anticompetitive leveraging with cases where an incumbent in one market enters an adjacent one. The latter is a powerful source of competition and, as such, should not be curtailed. The former is already covered by the SLC test, which equips authorities with sufficient tools to curb the misuse of market power post-merger. Third, it is unclear what the term “materially” would mean in the proposed context, or what it would add to the SLC test. Australian merger control already interprets “substantial” lessening of competition to mean “material in a relative sense and meaningful.” Thus, the term “materially” risks injecting unnecessary uncertainty and indeterminacy into the system.
  • Question 19 — As follows from our response to Question 9, Section 50(3) should not be amended to yield an increased focus on changes to market structure as a result of a merger. It is also unclear what is gained from removing the factors in Section 50(3). More than a “modernization” (as the Consultation calls it), this appears to be a redundancy, as the listed factors already significantly overlap with those commonly used under the SLC test. To the extent that these factors place a “straitjacket” on courts (though in principle they are sufficiently broad and flexible), they could be removed, however, so long as merger analysis remained tethered to the SLC test and respects its overarching logic.
  • Question 20 — Non-competition public benefits should play a limited role in merger control. Competition authorities are, in principle, ill-suited to rank, weigh, and prioritize complex and incommensurable goals and values. The injection of public-benefits analysis into merger review magnifies the risk of discretionary and arbitrary decision making.

III. Consultation Responses

A.   Question 6

Is Australia’s merger regime ‘skewed towards clearance’? Would it be more appropriate for the framework to skew towards blocking mergers where there is sufficient uncertainty about competition impacts?

In order for a merger to be blocked in Australia, it must be demonstrated that the merger is likely to substantially lessen competition. In the context of Section 50, “likely” means a “real commercial likelihood.”[2] Furthermore, a “substantial” lessening of competition need not be “large or weighty… but one that is ‘real or of substance… and thereby meaningful and relevant to the competitive process.’”[3] This does not set an inordinately high bar for authorities to clear.

In a sense, however, the ACCC is right when it says that Australian merger control is “skewed towards clearance.”[4] This is because all merger regimes are “skewed” toward clearance. Even in jurisdictions that require mandatory notifications, only a fraction of mergers—typically, those above a certain turnover threshold—are examined by competition authorities. Only a small percentage of these transactions are subject to conditional approval, and an even smaller percentage still are blocked or abandoned.[5] This means that the vast majority of mergers are allowed to proceed as intended by the parties, and for good reason. As the ACCC itself and the Consultation note, most mergers do not raise competition concerns.[6]

But while partially accurate, this statement is only half true. Most mergers are, in fact, either benign or procompetitive. Indeed, mergers are often an effective way to reduce transaction costs and generate economies of scale in production,[7] which can enable companies to bolster innovation post-merger. According to Robert Kulick and Andrew Card, mergers are responsible for increasing research and development expenditure by as much as $13.5 billion annually.[8] And as Francine Lafontaine and Margaret Slade point out in the context of vertical mergers:

In spite of the lack of unified theory, over all a fairly clear empirical picture emerges. The data appear to be telling us that efficiency considerations overwhelm anticompetitive motives in most contexts. Furthermore, even when we limit attention to natural monopolies or tight oligopolies, the evidence of anticompetitive harm is not strong. [9]

While vertical mergers are generally thought to be less likely to harm competition, this does not cast horizontal mergers in a negative light. It is true that the effects of horizontal mergers are empirically less well-documented. But while there is some evidence that horizontal mergers can reduce consumer welfare, at least in the short run, the long-run effects appear to be strongly positive. Dario Focarelli and Fabio Panetta find:

…strong evidence that, although consolidation does generate adverse price changes, these are temporary. In the long run, efficiency gains dominate over the market power effect, leading to more favorable prices for consumers.[10]

Furthermore, and in line with the above, some studies have found that horizontal merger enforcement has even harmed consumers.[11]

It is therefore only natural that merger regimes should be “skewed” toward clearance. But this is no more a flaw of the system than is the presumption that cartels are harmful. Instead, it reflects the well-documented and empirically grounded insight that most mergers do not raise competition concerns and that there are myriad legitimate, procompetitive reasons for firms to merge.[12]

It also reflects the principle that, since errors are inevitable, merger control should prefer Type II over Type I errors. Indeed, legal decision making and enforcement under uncertainty are always difficult and always potentially costly.[13] Given the limits of knowledge, there is always a looming risk of error.[14] Where enforcers or judges are trying to ascertain the likely effects of a business practice, such as a merger, their forward-looking analysis will seek to infer anticompetitive conduct from limited information.[15] To mitigate risks, antitrust law, generally, and merger control, specifically, must rely on certain heuristics to reduce the direct and indirect costs of the error-cost framework,[16] whose objective is to ensure that regulatory rules, enforcement decisions, and judicial outcomes minimize the expected cost of (1) erroneous condemnation and deterrence of beneficial conduct (“false positives,” or “Type I errors”); (2) erroneous allowance and under-deterrence of harmful conduct (“false negatives,” or “Type II errors”); and (3) the costs of administering the system.

Accordingly, “skewing” the merger-analysis framework toward blocking mergers could, in theory, be appropriate where the enforcer or the courts knew that mergers are always or almost always harmful (as in the case of, e.g., cartels). But we have already established that the opposite is, in fact, true: most mergers are either benign or procompetitive. The Consultation’s caveat that this would apply only in cases where “there is sufficient uncertainty about competition impacts” does not carve out a convincing exception to this principle. This is particularly true given that, in a forward-looking exercise, there is, by definition, always some degree of uncertainty about future outcomes. Given that most mergers are procompetitive or benign, any lingering uncertainty should, in any case, be resolved in favor of allowing a merger, not blocking it.

Concrete evidence of a likely substantial lessening of competition post-merger should therefore continue to be the decisive factor in decisions to block a merger, not uncertainty about its effects (see also the response to Question 17). Under uncertainty, the error-cost framework when applied to antitrust leads in most cases to a preference of Type II over Type I errors, and mergers are no exception.[17] The three main reasons can be summarized as follows. First, “mistaken inferences and the resulting false condemnations are especially costly, because they often chill the very conduct the antitrust laws are designed to protect.”[18] The aforementioned procompetitive benefits of mergers, coupled with the general principle that parties should have the latitude in a free-market economy to buy and sell to and from whomever they choose, are cases in point. Second, false positives may be more difficult to correct, especially in light of the weight of judicial precedent.[19] Third, the costs of a wrongly permitted monopoly are small compared to the costs of competition wrongly condemned.[20] As Lionel Robbins once said: monopoly tends to break, tariffs tend to stick.[21] The same is applicable to prohibited mergers.

In sum, Australia should not skew its merger regime toward blocking mergers under uncertainty.

B.   Question 8

Is there evidence of acquisitions by large firms (such as serial or creeping acquisitions, acquisitions of nascent competitors, ‘killer acquisitions’, and acquisitions by digital platforms) having anti-competitive effects in Australia?

We do not know whether there have been any such cases in Australia. We would, however, like to offer more general commentary on the relevance of nascent competition and killer acquisitions in the context of merger control, especially as concerns digital platforms.

One of the most important concerns about acquisitions by the major incumbent tech platforms is that they can be used to eliminate potential competitors that currently do not compete, but could leverage their existing network to compete in the future—a potential that incumbents can better identify than can competition enforcers.[22]

As the Furman Review states:

In mergers involving digital companies, the harms will often centre around the loss of potential competition, which the target company in an adjacent market may provide in the future, once their services develop.[23]

Similar concerns have been raised in the Stigler Report,[24] the expert report commissioned by Commissioner Margrethe Vestager for the European Commission,[25] and in the ACCC’s own Fifth Interim Report of the Digital Platform Services Inquiry.[26] Facebook’s acquisition of Instagram is frequently cited as a paradigmatic example of this phenomenon.

There are, however, a range of issues with using this concern as the basis for a more restrictive merger regime. First, while doubtless this kind of behavior is a risk, and competition enforcers should weigh potential competition as part of the range of considerations in any merger review, potential-competition theories often prove too much. If one firm with a similar but fundamentally different product poses a potential threat to a purchaser, there may be many other firms with similar, but fundamentally different, products that do, too.

If Instagram, with its photo feed and social features, posed a potential or nascent competitive threat to Facebook when Facebook acquired it, then so must other services with products that are clearly distinct from Facebook but have social features. In that case, Facebook faces potential competition from other services like TikTok, Twitch, YouTube, Twitter (X), and Snapchat, all of which have services that are at least as similar to Facebook’s as Instagram’s. In this case, the loss of a single, relatively small potential competitor out of many cannot be counted as a significant loss for competition, since so many other potential and actual competitors remain.

The most compelling version of the potential and nascent competition argument is that offered by Steven Salop, who argues that since a monopolist’s profits will tend to exceed duopolists’ combined profits, a monopolist will normally be willing and able to buy a would-be competitor for more than the competitor would be able to earn if it entered the market and competed directly, earning only duopoly profits.[27]

While theoretically elegant, this model has limited use in understanding real-world scenarios. First, it assumes that entry is only possible once—i.e., that after a monopolist purchases a would-be competitor, it can breathe easy. But if repeat entry is possible, such that another firm can enter the market at some point after an acquisition has taken place, the monopolist will be engaged in a potentially endless series of acquisitions, sharing its monopoly profits with a succession of would-be duopolists until there is no monopoly profit left.

Second, the model does not predict what share of monopoly profits would go to the entrant, as compared to the monopolist. The entrant could hold out for nearly all of the monopolist’s profit share, adjusted for the entrant’s expected success in becoming a duopolist.

Third, apart from being a poor strategy for preserving monopoly profits—since these may largely accrue to the entrants, under this model—this could lead to stronger incentives for entry than in a scenario where the duopolists were left to compete with one another, leading to more startup formation and entry overall.

Finally, acquisitions of potential competitors, far from harming competition, often benefit consumers. The acquisition of Instagram by Facebook, for example, brought the photo-editing technology that Instagram had developed to a much larger market of Facebook users, and provided those services with a powerful monetization mechanism that was otherwise unavailable to Instagram.[28] As Ben Sperry has written:

Facebook has helped to build Instagram into the product it is today, a position that was far from guaranteed, and that most of the commentators who mocked the merger did not even imagine was possible. Instagram’s integration into the Facebook platform in fact did benefit users, as evidenced by the rise of Instagram and other third-party photo apps on Facebook’s platform.[29]

In other words, many supposedly anticompetitive acquisitions appear that way only because of improvements made to the acquired business by the acquiring platform.[30]

As for “killer acquisitions,” this refers to scenarios in which incumbents acquire a firm just to shut down pipelines of products that compete closely with their own. By eliminating these products and research lines, it is feared that “killer acquisitions” could harm consumers by eliminating would-be competitors and their products from the market, and thereby eliminating an innovative rival. A recent study by Marc Ivaldi, Nicolas Petit, and Selçukhan Ünekbas, however, recommends caution surrounding the killer acquisition “hype.” First, despite the disproportionate attention they have been paid in policy circles, “killer acquisitions” are an exceedingly rare phenomenon. In pharmaceuticals, where the risk is arguably the highest, it is they account for between 5.3% and 7.4% of all acquisitions, while in digital markets, the rate is closer to 1 in 175.[31] The authors ultimately find that:

Examining acquisitions by large technology firms in ICT industries screened by the European Commission, [we find] that acquired products are often not killed but scaled, post-merger industry output demonstrably increases, and the relevant markets remain dynamic post-transaction. These findings cast doubt on contemporary calls for tightening of merger control policies.[32]

Thus, acquisitions of potential competitors and smaller rivals more often than not lead to valuable synergies, efficiencies, and the successful scaling of products and integration of technologies.

But there is an arguably even more important reason why the ACCC should not preventively restrict companies’ ability to acquire smaller rivals (or potential rivals). To safeguard incentives to invest and innovate, it is essential that buyouts remain a viable “way out” for startups and small players. As ICLE has argued previously:

Venture capitalists invest on the understanding that many of the businesses in their portfolio will likely fail, but that the returns from a single successful exit could be large enough to offset any failures. Unsurprisingly, this means that exit considerations are the most important factor for VCs when valuing a company. A US survey of VCs found 89% considered exits important and 48% considered it the most important factor. This is particularly important for later-stage VCs.”[33] (emphasis added)

Indeed, the “killer” label obfuscates the fact that acquisitions are frequently a desired exit strategy for founders, especially founders of startups and small companies. Investors and entrepreneurs hope to make money from the products into which they are putting their time and money. While that may come from the product becoming wildly successful and potentially displacing an incumbent, this outcome can be exceedingly difficult to achieve. The prospect of acquisition increases the possibility that these entrepreneurs can earn a return, and thus magnifies their incentives to build and innovate.[34]

In sum, while potential competition and so-called killer acquisitions are important theories for the ACCC to consider when engaging in merger review, neither theory suggests that the burden of proof needed to reject a merger should be changed, much less warranting an overhaul of the existing merger regime. Furthermore, given the paucity of “killer acquisitions” in the real world, it is highly unlikely that any economic woes that Australia currently faces are due to an epidemic of killer acquisitions or acquisitions of potential/nascent competitors. Indeed, a recent paper by Jonathan Barnett finds the concerns around startup acquisitions to have been vastly exaggerated, while their benefits have been underappreciated:

A review of the relevant body of evidence finds that these widely-held views concerning incumbent/startup acquisitions rest on meager support, confined to ambiguous evidence drawn from a small portion of the total universe of acquisitions in the pharmaceutical market and theoretical models of acquisition transactions in information technology markets. Moreover, the emergent regulatory and scholarly consensus fails to take into account the rich body of evidence showing the critical function played by incumbent/startup acquisitions in supplying a monetization mechanism that induces venture-capital investment and promotes startup entry in technology markets.

In addition:

Proposed changes to merger review standards would disrupt these efficient transactional mechanisms and are likely to have counterproductive effects on competitive conditions in innovation markets.[35]

Accordingly, if the Treasury is going to adopt any rules to address these theories of harm, it should do so in a way consistent with the error-cost framework (see reply to Question 6); that does not undercut the benefits and incentives that derive from the prospect of acquisition by a larger player; and that accurately reflects the real (modest) anticompetitive threat posed by killer acquisitions, rather than one animated by dystopic hyperbole.[36]

C.   Question 9

Should Australia’s merger regime focus more on acquisitions by firms with market power, and/or the effect of the acquisitions on the overall structure of the market?

Merger control should remain tethered to analysis of competitive effects within the framework of the SLC test, rather than on fostering any particular market structure. Market structure is, at best, an imperfect proxy for competitive effects and, at worst, a misleading one. As such, it should be considered just one tool among many for scrutinizing mergers, not an end in itself.

To start, the assumption that “too much” concentration is harmful presumes both that the structure of a market is what determines economic outcomes, and that anyone knows what the “right” amount of concentration is.[37] But as economists have understood since at least the 1970s, (despite an extremely vigorous, but ultimately futile, effort to show otherwise), market structure is not outcome determinative.[38] As Harold Demsetz has written:

Once perfect knowledge of technology and price is abandoned, [competitive intensity] may increase, decrease, or remain unchanged as the number of firms in the market is increased.… [I]t is presumptuous to conclude… that markets populated by fewer firms perform less well or offer competition that is less intense.[39]

This view is well-supported, and held by scholars across the political spectrum.[40] To take one prominent recent example, professors Fiona Scott Morton (deputy assistant attorney general for economics in the U.S. Justice Department Antitrust Division under President Barack Obama), Martin Gaynor (former director of the Federal Trade Commission Bureau of Economics under President Obama), and Steven Berry surveyed the industrial-organization literature and found that presumptions based on measures of concentration are unlikely to provide sound guidance for public policy:

In short, there is no well-defined “causal effect of concentration on price,” but rather a set of hypotheses that can explain observed correlations of the joint outcomes of price, measured markups, market share, and concentration.… Our own view, based on the well-established mainstream wisdom in the field of industrial organization for several decades, is that regressions of market outcomes on measures of industry structure like the Herfindahl Hirschman Index should be given little weight in policy debates.[41]

The absence of correlation between increased concentration and both anticompetitive causes and deleterious economic effects is also demonstrated by a recent, influential empirical paper by Shanat Ganapati. Ganapati finds that the increase in industry concentration in U.S. non-manufacturing sectors between 1972 and 2012 was “related to an offsetting and positive force—these oligopolies are likely due to technical innovation or scale economies. [The] data suggests that national oligopolies are strongly correlated with innovations in productivity.”[42] In the end, Ganapati found, increased concentration resulted from a beneficial growth in firm size in productive industries that “expand[s] real output and hold[s] down prices, raising consumer welfare, while maintaining or reducing [these firms’] workforces.”[43] Sam Peltzman’s research on increasing concentration in manufacturing finds that it has, on average, been associated with both increased productivity growth and widening margins of price over input costs. These two effects offset each other, leading to “trivial” net price effects.[44]

Further, the presence of harmful effects in industries with increased concentration cannot readily be extrapolated to other industries. Thus, while some studies have plausibly shown that an increase in concentration in a particular case led to higher prices (although this is true in only a minority of the relevant literature), assuming the same result from an increase in concentration in other industries or other contexts is simply not justified:

The most plausible competitive or efficiency theory of any particular industry’s structure and business practices is as likely to be idiosyncratic to that industry as the most plausible strategic theory with market power.[45]

As Chad Syverson recently summarized:

Perhaps the deepest conceptual problem with concentration as a measure of market power is that it is an outcome, not an immutable core determinant of how competitive an industry or market is… As a result, concentration is worse than just a noisy barometer of market power. Instead, we cannot even generally know which way the barometer is oriented.[46]

In other words, depending on the nature and dynamics of the market, competition may well be protected under conditions that preserve a certain number of competitors in the relevant market. But competition may also be protected under conditions in which a single winner takes all on the merits of their business.[47] It is reductive, and bad policy, to presume that a certain number of competitors is always and everywhere conducive to better economic outcomes, or indicative of anticompetitive harm.

This does not mean that concentration measures have no use in merger enforcement. Instead, it demonstrates that market concentration is often unrelated to antitrust enforcement because it is driven by factors that are endogenous to each industry. In revamping its merger-control rules, Australia should be careful not to rely too heavily on structural presumptions based on concentration measures, as these may be poor indicators of those cases where antitrust enforcement would be most beneficial to consumers.

In sum, market structure should remain only a proxy for determining whether a transaction significantly lessens competition. It should not be at the forefront of merger review. And it should certainly not be the determining factor in deciding whether to block a merger.

D.   Question 13

Should Australia introduce a mandatory notification regime, and what would be the key considerations for designing notification thresholds?

The ACCC has argued that Australia is an “international outlier” in not requiring mandatory notification of mergers.[48] While it is true that most countries with merger-control rules also require mandatory notification of mergers when these exceed a certain threshold, there are also notable examples where this is not the case. For example, the United Kingdom, one of the leading competition jurisdictions in the world, does not require mandatory notification of mergers.

In deciding whether to impose a mandatory-notification regime and accompanying notification thresholds, Australia should not—as a matter of principle—be guided by international trends. International trends may be a useful indicator, but they can also be misleading. Instead, Australia’s decision should be informed by close analysis of error costs. In particular, Australia should seek to understand how a notification regime would affect the balance between Type I and Type II errors in this context. A notification regime would presumably reduce false negatives without necessarily increasing false positives, which is a good outcome.

In its calculation, however, the Treasury cannot ignore the costs of filing mergers and of reviewing them. If designed poorly, mandatory notifications can be a burden for the merging firms, for third parties, and for the reviewing authorities, siphoning resources that could be better deployed elsewhere. It is here where a voluntary-notification regime could have an edge over the alternative. For instance, a study by Chongwoo Choe comparing systems of compulsory pre-merger notification with the Australian system of voluntary pre-merger notification found that:

Thanks to the signaling opportunity that arises when notification is voluntary, voluntary notification leads to lower enforcement costs for the regulator and lower notification costs for the merging parties. Some of the theoretical predictions are supported by exploratory empirical tests using merger data from Australia. Overall, our results suggest that voluntary merger notification may achieve objectives similar to those achieved by compulsory systems at lower costs to the merging parties as well as to the regulator.[49] (emphasis added).

If the Treasury nonetheless decides to mandate merger notification, the next step would be to establish a notification threshold, as it is evident that not all mergers can, or should, be notified to the Australian authorities. Indeed, many mergers may be patently uninteresting from a competition perspective (e.g., one small supermarket in Perth buying another), while others might not have a significant nexus with Australia (e.g., where an international company that does modest business in Australia buys a shop in Spain).[50] Too many merger notifications strain the public’s limited resources and disproportionately affect smaller companies, as these companies are less capable of covering administrative costs and filing fees. To mitigate such unnecessary costs, the Treasury should establish reasonable thresholds that help filter out transactions where the merging parties are unlikely to have significant market power post-merger.

But what constitutes a reasonable threshold? Our view is that there is no need to reinvent the wheel here. Turnover has typically been used as a proxy for a merger’s competitive impact because it offers a first indicator of the parties’ relative position on the market. Despite the Consultation’s claim that “mergers of all sizes are potentially capable of raising competition concerns,”[51] where the parties (and especially the target company) have either no or only negligible turnover in Australia, it is highly unlikely that the merger will significantly lessen competition. If the Treasury decides to impose mandatory notification for mergers, it should therefore consider using a turnover-based threshold.

E.    Question 17

Should Australia’s merger control regime require the decision-maker to be satisfied that a proposed merger:

  • would be likely to substantially lessen competition before blocking it; or

  • would not be likely to substantially lessen competition before clearing it?

The second option would essentially reverse the burden of proof in merger control. Instead of requiring the authority to prove that a merger would substantially lessen competition, it would fall on the merging parties to prove a negative—i.e., that the merger would not be likely to substantially lessen competition.

The ACCC has made this proposal because it:

Means that the risk of error is borne by the merger parties rather than the public. In the cases where this difference matters (for example where there is uncertainty or a number of possible future outcomes), the default position should be to leave the risk with the merger parties, not to put at risk the public interest in maintaining the state of competition into the future.[52]

The Consultation sympathizes. It recognizes that “there are trade-offs between the risks of false positives and false negatives in designing a merger test,” but contends that, while both lead to lower output, higher prices, lower quality, and less innovation, “allowing anti-competitive mergers means that merging parties benefit at the expense of consumers.”[53]

But this argument is based on a flawed premise. The risk of error—whether Type I or Type II error—is always borne by the public. The public is harmed by false positives in at least two ways. First, and most directly, it suffers harm through the foregone benefits that could have accrued from a procompetitive merger. As we have shown in our responses to Questions 6, 8, and 9, these benefits are common and can be economically substantial. Second, but no less important, false positives chill merger activity and discourage future mergers. This also negatively affects the public.

The extent to which chilling merger activity harms the public has, however, been obfuscated by a contrived dichotomy between “the public” and the merging parties, which taints the ACCC’s argumentation and skews the Conclusion. The merging parties are also part of society and, therefore, also part of “the public.” An unduly restrictive merger regime that prioritizes avoiding false negatives over false positives harms consumers. But it also harms the “public” more broadly, insofar as anyone could, potentially, have a direct interest in a merger, either as a stakeholder or a party to that merger.

In addition, a regime that requires companies to prove that a deal is not harmful (with the usual caveats about the difficulty of proving a negative) before being allowed to proceed unduly restricts economic freedom and the rights of defense—both of which are very “public” benefits, as everyone, in principle, benefits from them. These elements should also be taken into consideration when weighing the costs and benefits of Type I and Type II errors. That balancing test should, in our view, generally favor false negatives, as argued in our response to Question 6.

Finally, there is no objective, material justification for “[shifting] the default position from allowing mergers to proceed where there is uncertainty [which is, by definition, always in a merger review process that is forward-looking] to a position where, if there is sufficient uncertainty about the effects of a merger, it would not be cleared.” As discussed in our answer to Question 6, the vast majority of mergers are procompetitive, including mergers in the digital sector, or mergers that involve digital platforms. This presumption is reflected in the requirement, common across antitrust jurisdictions, that enforcers must make a prima facie case that a merger will be anticompetitive before the merging parties have a duty to respond. There has been no major empirical finding or theoretical revelation in recent years that would justify reversing this burden of proof. Indeed, any change along these lines would be guided by ephemeral political and industrial-policy exigencies, rather than by robust principles of law and economics. In our view, these are not sound reasons for flipping merger review on its head.

In sum, Australian merger control should require that a decisionmaker be satisfied that a merger would be likely to substantially lessen competition before blocking it.

F.    Question 18

Should Australia’s substantial lessening of competition test be amended to include acquisitions that ‘entrench, materially increase or materially extend a position of substantial market power’?

According to the ACCC:

Under the current substantial lessening of competition test, it may be difficult to stop acquisitions that lead to a dominant firm extending their market power into related or adjacent markets.[54]

The ACCC imagines this is a problem, particularly in digital markets. Preventing dominant firms from leveraging their market power in one market to restrict competition in an adjacent one is a legitimate concern. We should, however, be clear about what is meant by “materially increase or materially extend a position of substantial market power.”

Merger control should not, as a matter of principle, seek to prevent incumbents from entering adjacent markets. Large firms moving into the core business of competitors from adjacent markets often represents the biggest source of competition for incumbents, as it is often precisely these firms who have the capacity to contest competitors’ dominance in their core businesses effectively. This scenario is prevalent in digital markets, where incumbents must enter multiple adjacent markets, most often by supplying highly differentiated products, complements, or “new combinations” of existing offerings.[55]

Moreover, it is unclear why the SLC test in its current state is insufficient to curb the misuse of market power. The SLC test is a standard used by regulatory authorities to assess the legality of proposed mergers and acquisitions. Simply put, it examines whether a prospective merger is likely to substantially lessen competition in a given market, with the purpose of preventing mergers that increase prices, reduce output, limit consumer choice, or stifle innovation as a result of a decrease in competition.

The SLC test is one of the two major tests deployed by competition authorities to determine whether a merger is anticompetitive, the other being the dominance test. Most merger-control regimes today use the SLC test, and for two good reasons. The first is that, under the dominance test, it is difficult to assess coordinated effects and non-horizontal mergers.[56] The other, mentioned in the Consultation, is that the SLC test allows for more robust effects-based economic analysis.[57]

The SLC test examines likely coordinated and non-coordinated effects in all three types of mergers: horizontal, vertical, and conglomerate. Horizontal mergers may substantially lessen competition by eliminating a significant competitive constraint on one or more firms, or by changing the nature of competition such that firms that had not previously coordinating their behavior will be more likely to do so. Vertical and conglomerate mergers tend to pose less of a risk to competition.[58] Still, there are facts and circumstances under which they can substantially lessen competition by, for example, foreclosing rivals from necessary inputs, supplies, or markets. These outcomes will often be associated with an increase in market power. As the OECD has written:

The focus of the SLC test lies predominantly on the impact of the merger on existing competitive constraints and on measuring market power post-merger.[59]

In other words, the SLC test already accounts for increases in market power that are capable and likely of harming competition. As to whether the “entrenchment” of market power—in line with the 2022 amendments to Canadian competition law—should be added to the SLC test, there is no reason to believe that this is either necessary or appropriate in the Australian context. The 2022 amendments to the Canadian competition law mentioned in the Consultation[60] largely align Canada’s merger control with its abuse-of-dominance provision, which prohibits anti-competitive activities that damage or eliminate competitors and that “preserve, entrench or enhance their market power.”[61] But in Australia, Section 46 (the equivalent of the Canadian abuse-of-dominance provision) prohibits conduct “that has the purpose, or has or is likely to have the effect, of substantially lessening competition.” The proposed amendment would thus create a discrepancy between merger control and Section 46, where the latter would remain tethered to an SLC test, and the former would shift to a new standard. Additionally, since it remains unclear what the results of Canada’s 2022 merger-control amendments have been or will be, it would be wiser for Australia to adopt a “wait and see” approach before rushing to replicate them.

Lastly, there is the question of defining “materiality” in the context of an increase or entrenchment of market power. Currently, Section 50 prohibits mergers that “substantially lessen competition,” with no mention of materiality.[62] The Merger Guidelines do, however, state that:

The term “substantial” has been variously interpreted as meaning real or of substance, not merely discernible but material in a relative sense and meaningful.[63] (emphasis added)

The proposed amendment follows suit, referring to the concepts of “material increase” and “material extension” of market power. What does this mean? How does a “material increase” in market power differ from a non-material one? In its comments to the American Innovation and Choice Online Act (“AICOA”), the American Bar Association’s Antitrust Law Section criticized the bill for using amorphous terms such as “fairness,” “preferencing,” and “materiality,” or the “intrinsic” value of a product. Because these concepts were not defined either in the legislation or in existing case law, the ABA argued that they injected variability and indeterminacy into how the legislation would be administered.[64] The same argument applies here.

Accordingly, the SLC test should not be amended to include acquisitions that “entrench, materially increase or materially extend a position of substantial market power.”

G.   Question 19

Should the merger factors in section 50(3) be amended to increase the focus on changes to market structure as a result of a merger? Or should the merger factors be removed entirely?

On market structure, see our responses to Question 9 and Question 18.

The merger factors under Section 50(3) already overlap with the factors typically used under the SLC test. These include the structure of related markets; the merger’s underlying economic rationale; market accessibility for potential entrants; the market shares of involved undertakings; whether the market is capacity constrained; the presence of competitors (existing and potential); consumer behavior (the willingness and ability of consumers to switch to alternative products); the likely effect on consumers; the financial investment required for market entry; and the market share necessary for a buyer or seller to achieve profitability or economies of scale.

Similarly, Section 50(3) contains a list of the factors to be considered under the SLC test, including barriers to entry, the intensity of competition on the market, the likely effects on price and profit margins, and the extent of vertical integration, among others. Structural questions, such as the degree of concentration on the market, are also one of the listed factors under Section 50(3).

As a result, it is unclear how eliminating the merger factors would transform the SLC test, or why there should be more emphasis on market structure (on the proper role of market structure in merger-control analysis, see our answers to Question 9 and Question 18).

In sum, Section 50(3) should not be amended to increase the focus on changes to market structure as a result of a merger. It is also not clear what is gained from removing the factors in Section 50(3). More than a “modernization” (as the Consultation calls it),[65] the change appears redundant. To the extent that these factors place a “straitjacket” on courts (though, in principle, they are broad enough to be sufficiently flexible), however, they could be removed, so long as merger analysis remains tethered to the SLC test.

H.  Question 20

 Should a public benefit test be retained if a new merger control regime was introduced?

Antitrust law, including merger control, is not a “Swiss Army knife.”[66] Public-interest considerations should generally have limited to no weight in merger analysis, except in extremely specific cases proscribed by the law (e.g., public security and defense considerations). Expanding merger analysis to encompass non-competition concerns risks undermining the rule of law, diminishing legal certainty, and harming consumers.

In Australia, the Competition Act currently does not expressly limit the range of public benefits (or detriments) that may be taken into account by the ACCC when deciding whether to block or allow a merger (this includes not limiting them to those that address market failure or improve economic efficiency).[67] Thus, “anything of value to the community generally, any contribution to the aims pursued by the society” could, in theory, be considered a public benefit for the purpose of the public-benefit test.[68] The authorization regime also does not require the ACCC to quantify the level of public benefits and detriments.

Competition authorities are, in principle, ill-suited to rank, weigh, and prioritize complex, incommensurable goals and values against one other. They lack the expertise to meaningfully evaluate political, social, environmental, and other goals. They are independent agencies with a strict, narrow mandate, not political decision makers tasked with redistributing wealth or guiding society forward. Requiring them to consider broad public considerations when deciding on mergers magnifies the risk of discretionary and arbitrary decision making and undercuts legal certainty. This is as true for blocking mergers on the basis of public detriments as it is for allowing them on the basis of public benefits. By contrast, the consumer-welfare standard, which forms the basis of the SLC, is properly understood as:

Offer[ing] a tractable test that is broad enough to contemplate a variety of evidence related to consumer welfare but also sufficiently objective and clear to cabin discretion and honor the principle of the rule of law. Perhaps most significantly, it is inherently an economic approach to antitrust that benefits from new economic learning and is capable of evaluating an evolving set of commercial practices and business models.[69]

Consequently, we recommend that the public-interest test be jettisoned from merger analysis, or at least very narrowly circumscribed, if a new merger-control regime is introduced in Australia.

I.      Question 24

What is the preferred option or combination of elements outlined above? What implementation considerations would need to be taken into account?

In our opinion, and based on the arguments espoused in this submission, the best options would be as follows:

[1] International Center for Law & Economics, https://laweconcenter.org.

[2] Australian Competition and Consumer Commission v Pacific National Pty Limited [2020] FCAFC 77, [246].

[3] Australian Competition and Consumer Commission v Pacific National Pty Limited [2020] FCAFC 77, [104].

[4] Outline to Treasury: ACCC’s Proposals for Merger Reform, Australian Competition and Consumer Commission (2023), 5, 8, available at https://www.accc.gov.au/system/files/accc-submission-on-preliminary-views-on-options-for-merger-control-process.pdf.

[5] For example, in the EU, 94% of mergers are cleared without commitments, whereas only about 6% are allowed with remedies, and less than 0.5% of mergers are blocked or withdrawn by the parties. See Joanna Piechucka, Tomaso Duso, Klaus Gugler, & Pauline Affeldt, Using Compensating Efficiencies to Assess EU Merger Policy, VoxEU (10 Jan. 2022), https://cepr.org/voxeu/columns/using-compensating-efficiencies-assess-eu-merger-policy.

[6] Consultation, 4; ACCC 2023: 2, point 8e.

[7] Ronald Coase, The Nature of the Firm, 4(16) Economica 386-405 (Nov. 1937).

[8] Robert Kulick & Andre Card, Mergers, Industries, and Innovation: Evidence from R&D Expenditure and Patent Applications, NERA Economic Consulting (Feb. 2023), available at https://www.uschamber.com/assets/documents/NERA-Mergers-and-Innovation-Feb-2023.pdf.

[9] Francine Lafontaine & Margaret Slade, Vertical Integration and Firm Boundaries: The Evidence, 45(3) Journal of Economic Literature 677 (Sep. 2007).

[10] Dario Focarelli & Fabio Panetta, Are Mergers Beneficial to Consumers? Evidence from the Market for Bank Deposits, 93(4) American Economic Review 1152 (Sep. 2003).

[11] B. Espen Eckbo & Peggy Wier, Antimerger Policy Under the Hart-Scott-Rodino Act: A Reexamination of the Market Power Hypothesis, 28(1) Journal of Law & Economics 121 (Apr. 1985).

[12] See, e.g., in the context of tech mergers: Sam Bowman & Sam Dumitriu, Better Together: The Procompetitive Effects of Mergers in Tech, The Entrepreneurs Network & International Center for Law & Economics (Oct. 2021), available at https://laweconcenter.org/wp-content/uploads/2021/10/BetterTogether.pdf.

[13] Geoffrey A. Manne, Error Costs in Digital Markets, in Joshua D. Wright & Douglas H. Ginsburg (eds.), The Global Antitrust Institute Report on the Digital Economy, 33-108 (2020).

[14] Robert H. Mnookin & Lewis Kornhauser, Bargaining in the Shadow of the Law: The Case of Divorce, 88(5) Yale Law Journal 950-97, 968 (Apr. 1979).

[15] See, e.g., in the context of predatory pricing, Paul L. Joskow & Alvin K. Klevorick, A Framework for Analyzing Predatory Pricing Policy, 89(2) Yale Law Journal 213-70 (Dec. 1979).

[16] Manne, supra note 13, at 34, 41.

[17] Id.

[18] Verizon Comm’ns Inc. v. Law Offices of Curtis V. Trinko, LLP, 540 U.S. 398, 414 (2004) (quoting Matsushita Elec. Indus. Co. v. Zenith Radio Corp., 475 U.S. 574, 594 (1986)).

[19] Frank H. Easterbrook, The Limits of Antitrust, 63(1) Texas Law Review 1-40, 2-3, 15-16 (Aug. 1984).

[20] Id., (“Other things equal, we should prefer the error of tolerating questionable conduct, which imposes losses over a part of the range of output, to the error of condemning beneficial conduct, which imposes losses over the whole range of output.”)

[21] Lionel Robbins, Economic Planning and International Order, 116, (1937).

[22] This section is adapted, in part, from Bowman & Dumitriu, supra note 12.

[23] Jason Furman, et al., Unlocking Digital Competition: Report of the Digital Competition Expert Panel (Mar. 2019), 98, available at https://assets.publishing.service.gov.uk/media/5c88150ee5274a230219c35f/unlocking_digital_competition_furman_review_web.pdf (“Furman Review”).

[24] Committee for the Study of Digital Platforms Market Structure and Antitrust Subcommittee Report, Stigler Center for the Study of the Economy and the State (2019), 75, 88, available at https://research.chicagobooth.edu/-/media/research/stigler/pdfs/market-structure—report-as-of-15-may-2019.pdf (“Stigler Report”).

[25] Yves-Alexandre de Motjoye, Heike Schweitzer, & Jacques Crémer, Competition Policy for the Digital Era, European Commission Directorate-General for Competition (2019), 110-112, https://op.europa.eu/en/publication-detail/-/publication/21dc175c-7b76-11e9-9f05-01aa75ed71a1/language-en.

[26] See Sections 3.2., 6.2.2. of the Digital Services Platform Inquiry of September 2022, which finds a “high risk of anticompetitive acquisitions by digital platforms,” available at https://www.accc.gov.au/system/files/Digital%20platform%20services%20inquiry.pdf.

[27] Steven Salop, Potential Competition and Antitrust Analysis: Monopoly Profits Exceed Duopoly Profits, Georgetown Law Faculty Publications and Other Works 2380 (Apr. 2021), available at https://scholarship.law.georgetown.edu/facpub/2380.

[28] Geoffrey A. Manne, et al., Comments of the International Center for Law & Economics on the FTC & DOJ Draft Merger Guidelines, International Center for Law & Economics (18 Sep. 2023), 38, available at https://laweconcenter.org/wp-content/uploads/2023/09/ICLE-Draft-Merger-Guidelines-Comments-1.pdf.

[29] Ben Sperry, Killer Acquisition of Successful Integration: The Case of the Facebook/Instagram Merger, The Hill (8 Oct. 2020), https://thehill.com/blogs/congress-blog/politics/520211-killer-acquisition-or-successful-integration-the-case-of-the.

[30] Sam Bowman & Geoffrey A. Manne, Killer Acquisitions: An Exit Strategy for Founders, International Center for Law & Economics (Jul. 2020), available at https://laweconcenter.org/wp-content/uploads/2020/07/ICLE-tldr-Killer-acquisitions_-an-exit-strategy-for-founders-FINAL.pdf.

[31] See Colleen Cunningham, Florida Ederer, & Song Ma, Killer Acquisitions, 129(3) Journal of Political Economy 649-702 (Mar. 2021); see also Axel Gautier & Joe Lamesch, Mergers in the Digital Economy 54 Information Economics and Policy 100890 (2 Sep. 2020).

[32] Marc Ivaldi, Nicolas Petit, & Selçukhan Ünekbas, Killer Acquisitions in Digital Markets May be More Hype than Reality, VoxEU (15 Sep. 2023), https://cepr.org/voxeu/columns/killer-acquisitions-digital-markets-may-be-more-hype-reality (“The majority of transactions triggered increasing levels of competition in their respective markets.”)

[33] Bowman & Dumitriu, supra note 12.

[34] Bowman & Manne, supra note 30.

[35] Jonathan Barnett, “Killer Acquisitions” Reexamined: Economic Hyperbole in the Age of Populist Antitrust, USC Class Research Paper 23-1 (28 Aug. 2023), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4408546.

[36] On the current wave of dystopian thinking in antitrust law, especially surrounding anything “digital,” see Dirk Auer & Geoffrey A. Manne, Antitrust Dystopia and Antitrust Nostalgia: Alarmist Theories of Harm in Digital Markets and their Origins, 28(4) George Mason Law Review 1281 (9 Sep. 2021).

[37] The response to this question is adapted from Manne, et al., supra note 28.

[38] See, e.g., Harold Demsetz, Industry Structure, Market Rivalry, and Public Policy, 16(1) Journal of Law & Economics 1-9 (Apr. 1973).

[39] See Harold Demsetz, The Intensity and Dimensionality of Competition, in Harold Demsetz, The Economics of the Business Firm: Seven Critical Commentaries 137, 140-41 (1995).

[40] Nathan Miller, et al., On the Misuse of Regressions of Price on the HHI in Merger Review, 10(2) Journal of Antitrust Enforcement 248-259 (28 May 2022).

[41] Steven Berry, Martin Gaynor, & Fiona Scott Morton, Do Increasing Markups Matter? Lessons from Empirical Industrial Organization, 33(3) Journal of Economic Perspectives 44-68, 48 (2019).

[42] Shanat Ganapati, Growing Oligopolies, Prices, Output, and Productivity, 13(3) American Economic Journal: Microeconomics 309-327, 324 (Aug. 2021).

[43] Id., 309.

[44] Sam Peltzman, Productivity, Prices and Productivity in Manufacturing: a Demsetzian Perspective, Coase-Sandor Working Paper Series in Law and Economics 917, (19 Jul. 2021).

[45] Timothy F. Bresnahan, Empirical Studies of Industries with Market Power, in Richard Schmalensee & Robert Willig (eds.), Handbook of Industrial Organization, 1011, 1053-54 (1989).

[46] Chad Syverson, Macroeconomics and Market Power: Context, Implications, and Open Questions, 33(3) Journal of Economic Perspectives 23-43, 26 (2019).

[47] Nicolas Petit & Lazar Radic, The Necessity of the Consumer Welfare Standard in Antitrust Analysis, ProMarket (18 Dec. 2023), https://www.promarket.org/2023/12/18/the-necessity-of-a-consumer-welfare-standard-in-antitrust-analysis.

[48] ACCC, 2023: 5.

[49] Chongwoo Choe, Compulsory or Voluntary Pre-Merger Notification? Theory and Some Evidence, 28(1) International Journal of Industrial Organization 10-20 (Jan. 2010).

[50] For an overview of the impact of unnecessary transaction costs in merger notification in the context of Ireland, see  Paul K. Gorecki, Merger Control in Ireland: Too Many Unnecessary Notifications?, ESRI Working Paper No. 383 (2011), https://www.econstor.eu/handle/10419/50090.

[51] Consultation, 24.

[52] ACCC, 2023, 9.

[53] Consultation, 29.

[54] Consultation, 19; ACCC, 2023: 6-7.

[55] Nicolas Petit, Big Tech and the Digital Economy: The Moligopoly Scenario (2020); see also Walid Chaiehoudj, On “Big Tech and the Digital Economy”: Interview with Professor Nicolas Petit, Competition Forum (11 Jan. 2021), https://competition-forum.com/on-big-tech-and-the-digital-economy-interview-with-professor-nicolas-petit.

[56] Standard for Merger Review, Organisation for Economic Co-operation and Development (11 May 2010), 6, available at https://www.oecd.org/daf/competition/45247537.pdf.

[57] Id.; see also Consultation, 31, indicating that “[SLC test] would enable mergers to be assessed on competition criteria but not prescriptively identify which competition criteria should be taken into account. It may permit more flexible application of the law and a greater degree of economic analysis in merger decision-making” (emphasis added).

[58] See, e.g., European Commission, Guidelines on the Assessment of Non-Horizontal Mergers Under the Council Regulation on the Control of Concentrations Between Undertakings (2008/C 265/07), paras. 11-13.

[59] OECD, supra note 56, at 16; see also European Commission, Guidelines on the Assessment of Horizontal Mergers Under the Council Regulation on the Control of Concentrations between Undertakings (2004/C 31/03).

[60] Consultation, 30-31.

[61] Canadian Competition Act, Sections 78 and 79.

[62] Section 44G, however, does mention a “material increase in competition.” (emphasis added).

[63] ACCC, Merger Guidelines (2008), available at https://www.accc.gov.au/system/files/Merger%20guidelines%20-%20Final.PDF ; see also Australia, Senate 1992, Debates, vol. S157, p. 4776, as cited in the Merger Guidelines (2008).

[64] Geoffrey A. Manne & Lazar Radic, The ABA’s Antitrust Law Section Sounds the Alarm on Klobuchar-Grassley, Truth on the Market (12 May 2022), https://truthonthemarket.com/2022/05/12/the-abas-antitrust-law-section-sounds-the-alarm-on-klobuchar-grassley.

[65] Consultation, 39.

[66] Geoffrey A. Manne, Hearing on “Reviving Competition, Part 5: Addressing the Effects of Economic Concentration on America’s Food Supply,” U.S. House Judiciary Subcommittee on Antitrust, Commercial, and Administrative Law (19 Jan. 2021), available at https://laweconcenter.org/wp-content/uploads/2022/01/Manne-Supply-Chain-Testimony-2021-01-19.pdf.

[67] Out-of-Market Efficiencies in Competition Enforcement – Note by Australia, Organisation for Economic Co-operation and Development (6 Dec. 2023), available at https://one.oecd.org/document/DAF/COMP/WD(2023)102/en/pdf.

[68] Re Queensland Co-Op Milling Association Limited and Defiance Holdings Limited (QCMA) (1976) ATPR 40-012.

[69] Elyse Dorsey, et al., Consumer Welfare & The Rule of Law: The Case Against the New Populist Antitrust Movement, 47 Pepperdine Law Review 861 (1 Jun. 2020).

Regulatory Comments

Submission on the final report of the Australian Competition and Consumer Commission’s Digital Platforms Inquiry

In a submission to the Australian Treasury on 12 September 2019, a group of esteemed international scholars critiqued the recently published Final Report of the Australian Competition and Consumer Commission (ACCC) Digital Platforms Inquiry. 

In its report, the ACCC claims that competition in the media, communications, advertising and other markets it investigated is “not working,”  and that substantial regulatory and legislative changes are necessary to solve—and would solve—the  problems caused by ineffective competition.  

But the premise that competition is not working is not well supported by evidence presented in the report. Meanwhile, the report’s conclusion misses the bigger picture: Government intervention is appropriate only if it produces net social benefits. Yet the ACCC almost entirely omits consideration of the adverse effects of its proposed interventions, which in many cases are likely worse than the alleged problems. As such, the report’s proposals should be treated with great caution.

The submission tackles three “significant oversights”: 

  1. The ACCC’s recommendations on “platform neutrality” and the proposed creation of a “digital platforms branch” underestimate the limits of regulators’ ability to identify market failure and the major difficulties that regulators face when attempting to design markets. For instance, the ACCC recommends that Google be forced to introduce browser and search engine choice screens. Yet it is not clear that the introduction of such screens will either accelerate the entry of competitors or improve users’ experience. 
  2. The ACCC’s attempts to prop up local media firms (through subsidies and other means) appears to be driven by nostalgia for a bygone, pre-modern era, rather than a rigorous assessment of the costs and benefits of media regulation. The ACCC is quick to assume that its recommendations would produce tangible benefits for consumers, but it overlooks the potential market distortions—and impediments to ongoing innovation—that might be generated in the process.
  3. The report’s recommended extension of Australia’s privacy legislation completely ignores the tremendous compliance costs that doing so would impose on firms and, indirectly, on consumers. The recent introduction of privacy legislation in the EU and California suggests that these compliance costs might well outstrip the benefits to users.

The submission notes in conclusion that “The ACCC’s lackadaisical assessment of regulatory costs is all-the-more troubling given that its report focuses on an extremely dynamic industry. What is only a small regulatory cost today could severely hamper competition in the future.”

 

Click here to read the full submission.

Regulatory Comments

Brazil

The View from Brazil: A TOTM Q&A with Gustavo Augusto Freitas de Lima

Our latest guest in Truth on the Market’s “Global Voices Forum” series is Gustavo Augusto Freitas de Lima, a commissioner at Brazil’s Administrative Council for Economic Defense (CADE). In this conversation, we explore Brazil’s evolving approach to digital regulation, including the legislative proposals currently under discussion, the government’s priorities, and the role CADE would play in the future in overseeing digital markets. Gustavo provides insights into Brazil’s approach to ex-ante regulation, its potential differences from the EU’s Digital Markets Act (DMA), and the challenges of balancing innovation with market oversight.

Read the full piece here.

TOTM

Is Brazil’s Digital Markets Proposal Based on Genuine Consensus or Unproven Narrative?

Apopular narrative has emerged in Brazil in recent years about the  “genuine consensus” supporting the need for more stringent regulation of digital markets. This narrative has been fueled by a growing number of cases of alleged anticompetitive conduct by so-called “global mega-corporations,” including the Mercado Livre/Apple case and the more recent Meta/Apple case. The perceived urgency to act is, however, largely built on speculative assumptions, rather than solid evidence.

While proponents argue that ex-ante regulations are needed to curb monopolistic behaviors and ensure fair competition in digital markets, a closer examination reveals this narrative to rest on largely unproven empirical claims of market failure and consumer harm. Before adopting untested regulatory frameworks, Brazil must critically assess whether the proposed measures would mark a genuine improvement, or merely a solution in search of a problem.

Read the full piece here.

TOTM

ICLE Comments to Brazil’s CADE on Competition in Digital Ecosystems of Mobile Devices

I. Introduction

We are thankful for this opportunity to submit written comments to the Conselho Administrativo de Defesa Econômica’s (“CADE”) public hearing on “Competition in Digital Ecosystems of Mobile Devices (iOS and Android).”[1] The International Center for Law & Economics (“ICLE”) is a nonprofit, nonpartisan global research center founded with the goal of building the intellectual foundations for sensible, economically grounded policy. ICLE promotes the use of law & economics methodologies to inform public-policy debates and has longstanding expertise in the evaluation of competition law and policy. ICLE’s interest is to ensure that competition law remains grounded in clear rules, established precedent, a record of evidence, and sound economic analysis.

According to the hearing’s notice, CADE is conducting at least three investigations of “digital ecosystems”[2] in the wake of a “growing number of reports of violations of [Brazil’s] economic order related to digital ecosystems for mobile devices” that, together, warrant “allowing, through a hearing, society, economic agents, experts, academics, civil society organizations and other interested parties to present comments that they consider relevant for the ongoing informed decision-making by this competition authority.”[3]

Against this backdrop, our comments respectfully suggest careful consideration before enacting either sectoral regulation of digital “ecosystems”; specific reforms to competition law in Brazil that aim to deal with these ecosystems; or broad remedies that could affect the quality or affordability of such ecosystems.

We posit that competition among mobile-device operating systems is generally dynamic, competitive, and beneficial to consumers. The mobile ecosystem—where Apple’s iOS and Google’s Android are the dominant players—has experienced intense competition that has spurred innovation and benefited consumers. Contrary to claims of duopoly-induced stagnation, both platforms have continuously introduced groundbreaking features and improvements to their services.

Operating systems allow consumers to access digital services, which in turn help them to increase their productivity and enjoy relatively cheap access to information. While there are always potential competition issues and anticompetitive behavior in any market, the experience to-date in the operating-system market suggests that such issues are neither pervasive nor sufficiently unique to justify strict sui generis preemptive rules. Instead, existing antitrust law (Act No. 12,529/2011) is sufficient to address potential anticompetitive practices in digital markets. Furthermore, as demonstrated by recent cases and investigations, CADE has the necessary expertise and resources to manage these cases.

Of course, challenges do arise in applying antitrust laws to digital markets and to operating systems. For example, amid the fast-changing digital landscape, it can be difficult to define relevant markets and dominant positions in multisided-platform cases. The contours of the relevant market are not always clear, and the boundaries between the digital and nondigital world are sometimes overstated. Those challenges can, however, be properly addressed through the existing legal framework and with appropriate institutional reforms, such as equipping CADE with more resources to incorporate advanced, state-of-the-art technical expertise.

In devising alternate solutions to potential competition problems, it is important not to fall for the so-called “nirvana fallacy”—that is, comparing imperfect antitrust-enforcement systems against ideal regulations, as if they would be implemented in the real world perfectly and according to their purported goals.[4] All legal-enforcement systems are imperfect; that some imperfections can be identified is not sufficient to justify changes to the system.

In any case, any state intervention—whether it be regulation, antitrust enforcement, or the in-between “quasi-regulatory” approach—should operate under limiting principles, such as prioritizing consumer welfare,[5] and assessing the consumer impact of such interventions using clear metrics like price, output, and innovation. Interventions should also respect platform autonomy, ensuring that firms remain the primary designers of their own business models. Interventions should not stifle innovation, but rather encourage it across the digital ecosystem.[6] Blanket or per-se prohibitions on business practices like so-called “self-preferencing,” or mandated “interoperability” and/or access to platforms, will be likely to harm consumers, as these practices benefit consumers most of the time.[7]

II. Competition in Operating Systems

When competition authorities identify competition problems in the market for mobile-device operating systems, they typically assume that the entities that control these systems possess significant market power. This market power (“dominance” or “monopoly power”), they argue, enables these companies to exploit consumers or business users, leading to anticompetitive harms. For example, the UK’s Competition and Markets Authority (“CMA”) highlighted this concern in its request for comments on digital ecosystems:

Apple and Google hold an effective duopoly in mobile ecosystems. Their control over these increasingly crucial ecosystems means both firms hold powerful positions and can unilaterally determine the ‘rules of the game’, making it difficult for rival businesses such as browsers or alternative app stores to compete.[8]

Similarly, in the case initiated against Apple by Mercado Livre Brasil, CADE ruled in a preliminary-injunction decision that the relevant market is:

…composed solely and exclusively of the iOS operating system, a non-licensable operating system for mobile devices that presents itself as the central market for the entire iOS ecosystem. Accordingly, this SG defines the market of origin of the conduct as the market for the non-licensable mobile operating system iOS.[9]

Given that market definition, the only possible conclusion is that Apple has a monopoly over its own operating system. The problem with such conclusion, however, is that Apple (iOS) clearly competes with Google (Android) in the operating-system market for mobile devices. Even if these firms hold a duopoly in this market,[10] it is undeniable that the rivalry between them has been beneficial to consumers in terms of both quality and innovation. Since the first iPhone was introduced in 2007, each iteration of both companies’ operating systems has included features that could be found in previous versions of the other:

Features like picture-in-picture, live voicemail, lock screen customization and live translation were all found on the Android operating system before eventually making their way to iOS. And though the use of widgets to customize your home screen was long held as a differentiator for Android, that feature too eventually found its way to iOS.

On the other hand, Android’s Nearby Share feature is remarkably similar to Apple’s AirDrop, and Android phones didn’t get features like “do not disturb” or the ability to take screenshots until some time after the iPhone had them.

Apple removed the 3.5mm headphone jack from the iPhone in September 2016, and I distinctly remember that at Google’s launch event for the Pixel the following month, chuckles went round the room when the exec on stage proclaimed, “Yes, it has a headphone jack.” Google itself went on to also ditch the headphone jack, with the Pixel 2.

(…)

Rumors that Apple would remove the physical home button on the iPhone X were circling long before the phone was officially unveiled in September 2017. Are they the same rumors Samsung responded to when it “beat Apple to the punch” and removed the home button from its Galaxy S8 earlier that same year? Or did both sides simply arrive at such a big design decision independently?[11]

Consumers can readily find myriad comparisons of Android and iPhone devices online.[12] Moreover, both Apple and Google maintain webpages that offer to help users switch from one platform to the other (see Figure 1).[13] The business press has extensively covered the fierce rivalry between the two companies.[14] And numerous academic studies have reached similar conclusions about the nature of their competition. Nicolas Petit refers to Apple and Google as “moligopolists,”[15] while David Evans has described their rivalry as “dynamic competition.”[16] Marshall Van Alstyne and his coauthors have analyzed the strategies that both Google and Apple have deployed to outcompete one another.[17]

FIGURE 1: Apple’s ‘Move from Android to iPhone’ Tutorial

SOURCE: Apple

Finally, both Apple and Google regularly file reports with securities regulators that cite the other firm as an important competitor (if not by name). For example, Apple has noted in its 10-K filing that:

The Company believes the availability of third-party software applications and services for its products depends in part on the developers’ perception and analysis of the relative benefits of developing, maintaining and upgrading such software and services for the Company’s products compared to competitors’ platforms, such as Android for smartphones and tablets and Windows for personal computers.[18]

While Google has noted in its 10-K:

We face competition from: Companies that design, manufacture, and market consumer electronics products, including businesses that have developed proprietary platforms.[19]

The competitive landscape in which iOS and Android both seek to gain and retain market share has been marked by continuous advancements across multiple dimensions, including user-interface design, hardware integration, app-ecosystem quality, and security features. Apple’s iOS is known for its seamless integration with hardware, delivering a tightly controlled and optimized user experience. Conversely, Google’s Android offers a more open ecosystem, allowing for greater customization and a wider variety of device choices from multiple manufacturers. The fact that the companies have taken these differing approaches do not mean that Apple and Google are not direct competitors. Rather, these different business models decisions are themselves a function of competition. As Randal Picker has explained in the context of the case initiated by the European Commission against Google Android:

Google undoubtedly wanted to support Android through its advertising business as that was its great competitive advantage. Embedding Google Search in Android is the natural way to do that. It meant that Android would come with a third-party payment mechanism built in and it meant that the price of Android handsets would presumably be lower given that the Android software itself would be free.

This is really the point of business model competition. Apple was being Apple: vertically integrated hardware and software. Did that with the Macintosh, did that with the iPhone. Microsoft was being Microsoft: it had dominated the OS market for the open IBM PC architecture and it hoped to do exactly that for mobile phones. There would be lots of handset makers, just as there were PC makers and Microsoft would make money off of phone OSs. Google was offering a different business model: lots of handset makers and advertising-supported software. The competition between Microsoft and Google was precisely over which way of paying for phone OS software would win.[20] [Emphasis added.]

As we will address in Section III, state interventions (either in the form of regulation or competition-law remedies) that do not respect firms’ autonomy to remain the primary designers of their platforms and business models risk eroding this form of competition.

Arguments that both Apple and Google maintain “monopolies” over their own operating systems often focus on the role played by brand loyalty. But as Dirk Auer noted in a critique of the European Commission’s Google Android decision,[21] the data that the Commission used to support its findings can be read differently:

Take the claim that 82% of Android users stick with Android when they change phones (compared to 78% for Apple), and that 75% of new smartphones are sold to existing users. The Commission asserted, without further evidence, that these numbers prove there is little competition between Android and iOS.

But is this really so? In almost all markets consumers likely exhibit at least some loyalty to their preferred brand. At what point does this become an obstacle to interbrand competition? The Commission offered no benchmark mark against which to assess its claims.

And although inter-industry comparisons of churn rates should be taken with a pinch of salt, it is worth noting that the Commission’s implied 18% churn rate for Android is nothing out of the ordinary, including for industries that could not remotely be called anticompetitive.

To make matters worse, the Commission’s own claimed figures suggest that a large share of sales remained contestable (roughly 39%). Imagine that, every year, 100 devices are sold in Europe (75 to existing users and 25 to new users, according to the Commission’s figures). Imagine further that the installed base of users is split 76–24 in favor of Android. Under the figures cited by the Commission, it follows that at least 39% of these sales are contestable.[22] [Emphasis added.]

The purpose of defining relevant markets and measuring product substitutability is to gauge the potential for competitive discipline. Substitutability does not require that every Android user, or even most users, see Apple as a viable alternative, or vice versa. Rather, effective competitive pressure exists so long as a non-negligible segment of consumers would switch products due to price increases or diminished quality. An 18% potential switching rate is not negligible.

At this point, it is important to consider that operating systems are “two-sided platforms” that connect consumers and developers of applications and that create an important part of the value obtained from devices. This “two-sidedness” entails that one cannot consider prices or other impacts on one side of the market in isolation.[23] Even if consumers are “locked-in,” if developers can find substitutes for the platform, it is harder to conclude that that platform has monopoly power. The U.S. District Court for the Northern District of California acknowledged this in its Epic v. Apple ruling, noting that the availability of alternative distribution channels for Epic’s games indicated that iOS may not constitute a distinct relevant market:

Thus, at this stage of the litigation, and with the record before the Court, Apple’s relevant market definition is also plausible. As Apple correctly points out, alternative means exist to distribute Fortnite. Indeed, Epic Games expressly advertised the multiplatform nature of its product following its breach of the Apple terms and service. (“[The] party continues on PlayStation 4, Xbox One, Nintendo Switch, PC, Mac, GeForce Now, and through both the Epic Games app at epicgames.com and the Samsung Galaxy Store.”).) The multiplatform nature of Fortnite suggests that these other platforms and their digital distributions may be economic substitutes that should be considered in any “relevant market” definition because they are “reasonably interchangeable” when used “for the same purposes.” (dismissing antitrust claim when alleged relevant market ignored multiple ways of reaching consumers). “If competitors can reach the ultimate consumers of the product by employing existing or potential alternative channels of distribution, it is unclear whether such restrictions foreclose from competition any part of the relevant market.” [24] [Citations omitted.]

Finally, it is important to consider that consumers buy smartphones, not operating systems. In that vein, Apple and Android face competition from smartphone manufacturers like Samsung, Xiaomi, Huawei, or Oppo. Indeed, it has been widely reported that Chinese smartphone producers like Huawei, who have been working on their own operating systems.[25] These manufacturers often push the boundaries of hardware design with features that consumers care about—e.g., better cameras or foldable phones.[26] These companies constitute at least potential competition that could discipline Apple and Google, should they begin to rest on their laurels and reduce their quality or try to exploit their market power.

In sum, while the debate over competition in mobile operating systems often assumes that Apple and Google either constitute separate “monopolies” in different relevant markets or a single stagnant duopoly, market reality indicates something else. Both companies not only compete intensively with one another, but also face significant pressure for smartphone manufacturers.

III. ‘Solutions’ in Search of a Problem

Even well-intentioned regulatory interventions can lead to unintended consequences that may harm consumers and the broader market. CADE should be vigilant in identifying and mitigating such risks. For example, regulations intended to boost competition by mandating interoperability or data-sharing requirements could inadvertently compromise user privacy and security. Similarly, policies designed to curb perceived anticompetitive behaviors might dampen platforms’ incentives to invest in new features and technologies.

Lessons from international jurisdictions, particularly the European Union’s Digital Markets Act (“DMA”), offer valuable insights into the potential pitfalls of overregulation. The DMA’s stringent requirements have led to significant compliance costs for companies and have sometimes resulted in reduced functionality and a worse user experience. For instance, mandated changes to platform operations to ensure “fairness” have, in some cases, led to decreased efficiency and increased complexity for both developers and users.[27]

To avoid such outcomes, CADE should intervene in markets only after clear evidence of harm to consumers, and with appropriate and proportional remedies. CADE already has the proper legal and institutional tools to do that within the current legal regime.

To be sure, as in any market, competition problems may arise in digital markets (i.e., there may be incentives to behave anticompetitively or to engage in conduct that could have an anticompetitive effect). But any potential anticompetitive conduct can and should be addressed via the application of antitrust law, such as Law No. 12,529/2011. As Giuseppe Colangelo and Oscar Borgogno have argued:

… recent and ongoing antitrust investigations demonstrate that standard competition law still provides a flexible framework to scrutinize several practices sometimes described as new and peculiar to app stores.

This is particularly true in Europe, where the antitrust framework grants significant leeway to antitrust enforcers relative to the U.S. scenario, as illustrated by the recent Google Shopping decision.[28]

Indeed, the European Commission has initiated traditional competition-law complaints against Google that have included imposed fines,[29] while the UK CMA has settled cases with Amazon with negotiated remedies.[30] In the United States, both the Federal Trade Commission (“FTC”) and the U.S. Justice Department (“DOJ”), along with several states, have initiated cases against Google,[31] Facebook,[32] and Amazon.[33]

We believe that CADE should be able to address any potential competition issues in much the same way. CADE has already initiated investigations and cases related to alleged refusals to deal, self-preferencing, and discrimination against platforms like Google, Apple, Meta, Uber, Booking.com, Decolar.com, and Expedia—precisely the sorts of firms that would presumably be covered by any new digital markets regulation. A 2019 OECD peer review of Brazilian competition law found that “(w)hile competition law regimes in many emerging economies may still struggle to achieve enforcement goals, the Brazilian regime has largely been considered a success,”[34] adding that:

CADE is well-regarded within the competition practitioner community both nationally and internationally, the business community, and within the Government administration due to its technical capabilities. It is considered one of the most efficient public agencies in Brazil and its international standing as a leading competition authority both regionally and globally reinforces this domestic view that it is a model public agency.[35]

That should lay to rest any doubts that CADE has the institutional tools and technical expertise to deal digital-markets cases properly.

Moreover, based on the EU experience, there is a significant risk of double jeopardy when the boundaries of traditional competition law and ex-ante digital regulation become fuzzy. As Giuseppe Colangelo has observed, the DMA is based explicitly on the notion that competition law alone is insufficient to effectively address the challenges and systemic problems posed by the digital-platform economy.[36]

Indeed, the scope of antitrust law is limited to certain instances of market power (e.g., dominance on specific markets) and anticompetitive behavior more generally. Further, its enforcement occurs ex post and requires extensive investigation on a case-by-case basis of what are often complex fact sets. Therefore, proponents of ex-ante digital markets-regulation argue, traditional competition law may not effectively address the challenges to well-functioning markets posed by the conduct of gatekeepers, who are not necessarily “dominant” in competition-law terms. Regulatory regimes like the DMA thus forward a set of ex-ante obligations for online platforms designated as gatekeepers in order to serve as a complement to traditional antitrust rules. This also allows enforcers to dispense with the laborious process of defining relevant markets, proving dominance, and measuring market effects.

But despite claims that the DMA is not an instrument of competition law, and should therefore not affect how antitrust rules apply in digital markets, such regulatory regimes do appear to blur the lines between regulation and antitrust by mixing their respective features and goals. Indeed, the DMA shares the same aims and protects the same legal interests as competition law.

Further, the DMA’s list of prohibitions is effectively a synopsis of past and ongoing antitrust cases, such as Google Shopping (Case T-612/17), Apple (AT.40437) and Amazon (Cases AT.40462 and AT.40703). Acknowledging the continuum between competition law and the DMA, the European Competition Network (“ECN”) and some EU member states (self-anointed “friends of an effective DMA”) initially proposed empowering national competition authorities (“NCAs”) to enforce DMA obligations directly.[37]

Similarly, the prohibitions and obligations often contemplated by digital markets regulations could, in theory, all be imposed by CADE. In fact, CADE has investigated—and is still investigating—several large companies that would likely fall within the purview of any digital markets regulation, including Google, Apple, Meta, Uber, Booking.com, Decolar.com, Expedia and iFood. CADE’s past and current investigations of these companies covered various conduct that is also targeted by the DMA, such as refusals to deal, self-preferencing, and discrimination.[38] Existing competition law under Act 12.529/11 therefore clearly already captures such conduct.

The difference between the two regimes is that, while general antitrust law requires a showing of harm and exempts conduct that benefits consumers, sector-specific regulation—in principle—would not. But such shortcuts have a cost. Certain types of behavior often targeted by ex-ante digital market regulations are nevertheless capable of—or even central to—delivering significant procompetitive benefits. It would be unjustified and harmful to subject such conduct to per se prohibitions, or to reverse the burden of proof. Instead, this type of conduct should be approached neutrally, and examined on a case-by-case basis.[39]

In the months since the publication of the Ministry of Finance’s report on competition in digital markets,[40] the discussion in Brazil has shifted focus from ex-ante regulation to a “more flexible approach,” similar to past reforms in Japan or Germany, as well as the UK’s more recent Digital Markets, Competition and Consumers Act (“DMCC”). This “more flexible approach” is, in theory, better than ex-ante regulation, given that it would presumably require evidence of specific harms to competition and consumers before any intervention. It could therefore entail more tailored and narrow remedies.

There is, however, also the strong possibility that competition agencies—or, depending on the details of the final regulation, potentially other less-experienced authorities—may be granted extensive discretion to impose broad behavioral and structural remedies. Such broad remedies could inadvertently foreclose various kinds of pro-competitive or pro-consumer behavior.

For example, following its own market inquiry into “online intermediation platforms,” the South African Competition Commission in 2023 recommended that e-commerce firms segregate their retail divisions from any marketplace operations—a structural remedy more reasonable for markets prone to natural monopolies (such as water or electricity distribution) than for the highly competitive e-commerce market.[41]

Similarly, a market investigation unit at Mexico’s Comisión Federal de Competencia Económica (COFECE) has recommended that Amazon and Mercado Libre unbundle their streaming services and make their platforms “interoperable” with third-party logistics providers. These remedies will tend to harm rather than benefit consumers, as they would ban vertical integration that generally results in lower prices and better distribution. Moreover, such remedies may soon prove obsolete in the face of rapidly changing market dynamics.[42]

The UK CMA’s recent investigation of the internet-search market also reinforces our concern about this kind of “quasi-regulatory” approach. The CMA’s preliminary proposal (based solely on Google’s strategic market status—i.e., no specific harms had been proven) contemplates broad remedies that are, in fact, quite similar to those prescribed by the DMA. These include prohibiting self-preferencing, preventing cross-silo data transfers, and restricting the way Google uses the information it accesses from public websites to develop artificial-intelligence (AI) services.[43]

This degree of regulatory discretion is not simply a minor bug, particularly in countries without an outstanding record of upholding the rule of law. Brazil currently ranks 80th of 142 countries worldwide on that score, and 17th out of 32 countries in Latin America and the Caribbean.[44]

The Ministry of Finance’s report outlines the contours of the abovementioned regulatory regimes. Alas, it proceeds directly to its proposals without assessing their potential impact. The absence of such analysis should give CADE pause. The goal of making antitrust law more expeditious and effective can be achieved by providing agencies and courts with needed resources, as well as by streamlining procedures to address cases before market dynamics shift and render potential remedies ineffective.

Moreover, there is merit in the complexity of abuse-of-dominance cases. Because agencies need to allocate resources efficiently and intervene only in cases where challenged conduct genuinely poses a risk to competition, the slow and steady complexity of proving competition-law complaints essentially serves as a filter. The cost-benefit analysis involved in determining whether a particular business practice is anticompetitive allows agencies to better distinguish harmful conduct from potentially beneficial practices. In the end, traditional competition law is, in fact, both more flexible and more precise than the proposed “more flexible” approach.

IV. Conclusion

CADE’s investigation into Apple’s and Google’s mobile ecosystems raises important questions about competition and innovation in the digital economy. As our comments explain, however, the assumption that these ecosystems function as two monopolies, or an entrenched duopoly with limited competition, is misguided. The mobile industry is characterized by dynamic competition, with continuous innovation, significant user choice, and considerable investment in platform development.

Rather than pursuing heavy-handed regulatory interventions that could distort incentives and hinder innovation, CADE should adopt an evidence-based and cautious approach. Apple and Google compete vigorously, not just with each other but also with a broader landscape of technology firms—including manufacturers, service providers, and developers operating across various segments of the mobile ecosystem. User churn rates and the contestability of key market segments indicate that competition remains robust.

Interventions that force interoperability, restrict pre-installed applications, or mandate alternative app stores carry significant risks. Lessons from similar regulatory actions (particularly the DMA) suggest that such measures often lead to unintended consequences, including degraded user experience, increased security risks, and reduced incentives for investment and innovation. In contrast, market-driven differentiation, where consumers can choose between Apple’s integrated approach and Google’s open ecosystem, provides a natural check on anticompetitive behavior, while maximizing consumer choice.

Given the rapid pace of technological change and the evolving nature of digital markets, a prescriptive regulatory approach could stifle innovation and reduce the competitive benefits that users currently enjoy. Instead, policymakers and competition agencies should focus on clear and proportionate policy measures that address demonstrable harms without undermining the fundamental drivers of competition. The objective should not be to reengineer these ecosystems, but to ensure that competition remains vibrant and that consumers continue to benefit from technological advancements and product differentiation.

In this context, it is advisable to approach these markets with a view toward fostering innovation, preserving incentives for investment, and avoiding unnecessary regulatory burdens that could harm consumers, developers, and the broader digital economy. A well-calibrated approach—grounded in empirical evidence and mindful of the risks of intervention—will ensure that Brazil’s digital markets remain competitive and dynamic in the years to come.

[1] Audiência Pública – Concorrência em Ecossistemas Digitais de Dispositivos Móveis (iOS e Android), Conselho Administrativo de Defesa Econômica (Feb. 3, 2024), https://sei.cade.gov.br/sei/controlador_externo.php?acao=documento_conferir&codigo_verificador=1509889&codigo_crc=17F0A23B&hash_download=9ab49f9625968c225f8ebf22e5f1174d1f799be4d0585a22367aaa98e84dd9a43355a45b4ee109c31df834cfba0f8ea7f7eeb4ce360a25d3128a1ae751be3b25&visualizacao=1&id_orgao_acesso_externo=0.

[2] Administrative Inquiries No. 08700.002940/2019-76 (“Google Android case”) and 8700.009916/2024-25 (“Google Play Store case”), and Administrative Proceeding No. 08700.009531/2022-04 (“Apple App Store” case).

[3] CADE, supra note 1.

[4] See Harold Demsetz, Information and Efficiency: Another Viewpoint, 12 J.L. Econ. 1, 22 (1969), (“The view that now pervades much public policy economics implicitly presents the relevant choice as between an ideal norm and an existing “imperfect” institutional arrangement. This nirvana approach differs considerably from a comparative institution approach in which the relevant choice is between alternative real institutional arrangements.”).

[5] Brazilian Competition Law, Act 12.529/2011 considers the protection of free competition and consumers to be among its primary goals.

[6] For more detail on these operating principles, see Geoffrey A. Manne, Dirk Auer, Lazar Radic, & Mario A. Zúñiga, ICLE Comments on the CMA’s Draft Guidance for the UK’s Digital Markets Competition Regime, Int’l Ctr. L. Econ. (Jul. 12, 2024), https://laweconcenter.org/resources/icle-comments-on-the-cmas-draft-guidance-for-the-uks-digital-markets-competition-regime.

[7] Lazar Radic, Digital-Market Regulation: One Size Does Not Fit All, Truth Mark. (Apr. 17, 2023), https://truthonthemarket.com/2023/04/17/digital-market-regulation-one-size-does-not-fit-all.

[8] Invitation to Comment on Strategic Market Status Investigation into Apple and Google’s Mobile Ecosystem, Compet. Mark. Auth. (Jan. 23, 2025), at 11, https://connect.cma.gov.uk/invitation-to-comment-sms-investigations-into-apple-and-google-s-mobile-ecosystems.

[9] CADE Nota Técnica Nro. 63/2024/CGAA11/SGA1/SG/CADE (Dec. 12, 2024), https://sei.cade.gov.br/sei/modulos/pesquisa/md_pesq_documento_consulta_externa.php?HJ7F4wnIPj2Y8B7Bj80h1lskjh7ohC8yMfhLoDBLddZGjmDYkx3_EXIVLLLrA_C3ojklC750gYvLk4Wjzp2CQAzNjE5yiDgT6lb0_1xdyihsVVs3J1xFcXVJMWUJOcf9.

[10] It is important to note that a duopoly (or other highly concentrated market structure) is not inherently anticompetitive. Economic models and empirical research suggest that duopolies can reach a highly competitive equilibrium. See Erwin A. Blackstone, Larry F. Darby, & Joseph P. Fuhr Jr., The Case of Duopoly, 34 Regulation 3 (Winter 2011-2012), at 12, available at https://www.cato.org/sites/cato.org/files/serials/files/regulation/2012/6/v34n4-3.pdf. Frequently cited examples of competitive duopolies include Coca-Cola and Pepsi, or Airbus and Boeing.

[11] Andrew Lanxon, Android vs. iPhone: 15 Years of Innovation Through Rivalry, CNET (Apr. 24, 2024),  https://www.cnet.com/tech/mobile/smartphone-showdown-15-years-of-android-vs-iphone;

[12] See, e.g., Michael Muchmore & Gabriel Zamora, Android vs. iOS: Which Phone OS Really Is the Best?, PCMag (Nov. 13, 2024), https://www.pcmag.com/comparisons/android-vs-ios-which-mobile-os-is-best; Prakhar Khanna, iPhone Vs. Android – Which One Should You Get?, Forbes (Feb. 16, 2024), https://www.forbes.com/sites/technology/article/iphone-vs-android; Bartosz Szczygie?, iPhone vs Android Users: Key Differences in 2024, NetGuru (Jan. 8, 2025),  https://www.netguru.com/blog/iphone-vs-android-users-differences.

[13] Move from Android to iPhone or iPad, Apple, https://support.apple.com/en-au/118670 (last visited Feb. 7, 2025); Switch Is Easier than Ever, Android, https://www.android.com/switch-to-android (last visited Feb. 7, 2025).

[14] See, e.g., Rhiannon Williams, Why Competition Between Apple and Google Is More Brutal than Ever, The Telegraph (Sep. 29, 2014), https://www.telegraph.co.uk/technology/google/11127694/Why-competition-betweenApple-and-Google-is-more-brutal-than-ever.html; Bianca DiSanto, Google vs. Apple: Why Their Competition Is Good for You, The Hoya (Oct. 21, 2016), https://thehoya.com/google-vs-apple-why-their-competition-is-good-for-you; Can Google or Huawei Stymie Apple’s March Towards $4trn?, The Economist (Oct. 24, 2024), https://www.economist.com/business/2024/10/24/can-google-or-huawei-stymie-apples-march-towards-4trn.

[15] Nicolas Petit, Big Tech & the Digital Economy. The Moligopoly Scenario (2020).

[16] David S. Evans, Why the Dynamics of Competition for Online Platforms Leads to Sleepless Nights But Not Sleepy Monopolies, SSRN (Jul. 25, 2017), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3009438.

[17] Marshall W. Van Alstyne et al., Pipelines, Platforms, and the New Rules of Strategy, Harv. Bus. Rev. (Apr. 2016), at 1-9.

[18] Apple Inc., Annual Report (Form 10-K), at 1 (Sep. 29, 2018).

[19] Alphabet Inc., Annual Report (Form 10-K), at 5 (Dec. 31, 2017).

[20] Randal Picker, The European Commission Picks a Fight with Google Android over Business Models, ProMarket (Jul. 23, 2018), https://www.promarket.org/2018/07/23/european-commission-picks-fight-google-android-business-models.

[21] Dirk Auer, Making Sense of the Google Android Decision, Int’l Ctr. L. Econ. (Feb. 25, 2020), available at https://laweconcenter.org/wp-content/uploads/2020/02/Auer-Making-Sense-of-the-Google-Android-Decision-White-Paper.pdf.

[22] Id., at 20-21.

[23] David S. Evans & Michael Noel, Defining Antitrust Markets When Firms Operate Two-Sided Platforms, 3 Colum. Bus. L. Rev., 667 (2005).

[24] Epic Games v. Apple Inc., 493 F. Supp. 3d 817 (N.D. Cal. 2020).

[25] “Huawei Technologies Co.’s ambition in consumer devices over the past year has been to decouple from Alphabet Inc.’s Android software entirely, culminating with the December 2024 launch of its made-in-China HarmonyOS Next as part of the Mate 70 smartphone. It is the most substantial attempt at building a third mobile ecosystem outside of Apple Inc.’s iPhone empire and the Google-led Android confederation. It also builds on the company’s considerable reach, resources, and nearly a billion existing users in China. See, e.g., Huawei’s Google-Free Phones Are Making Real Progress, Bloomberg (Jan. 28, 2025), https://www.bloomberg.com/news/features/2025-01-28/huawei-harmonyos-next-review-new-phone-seeks-to-break-apple-google-dominance.

[26] Siladitya Ray, Apple Is No Longer The World’s Biggest Smartphone Maker By Volume—As Samsung Ships More Handsets In Q1, Forbes (Apr. 15, 2024), https://www.forbes.com/sites/siladityaray/2024/04/15/apple-is-no-longer-the-worlds-biggest-smartphone-maker-by-volume-as-samsung-ships-more-handsets-in-q1; William Langley & Gloria Li, China’s Smartphone Makers Head Upmarket in European Push, Financ. Times (Nov. 17, 2024), https://www.ft.com/content/a982abf2-9564-4a8c-b8df-9e614ecd2151.

[27] See Lazar Radic & Mario Zúñiga, ICLE Comments to the Brazilian Ministry of Finance on Competition in Digital Markets, Int’l Ctr. L. Econ. (May 2, 2024), https://laweconcenter.org/resources/icle-comments-to-the-brazilian-ministry-of-finance-on-competition-in-digital-markets.

[28] Giuseppe Colangelo & Oscar Borgogno, App Stores as Public Utilities?, Truth Mark. (Jan. 19, 2022), https://truthonthemarket.com/2022/01/19/app-stores-as-public-utilities.

[29] See, e.g., Antitrust Cases Against Google by the European Union, Wikipedia, https://en.wikipedia.org/wiki/Antitrust_cases_against_Google_by_the_European_Union (last visited Feb. 11, 2025).

[30] Amazon Online Retailer: Investigation into Anti-Competitive Practices, Compet. Mark. Auth. (Oct. 1, 2013), https://www.gov.uk/cma-cases/amazon-online-retailer-investigation-into-anti-competitive-practices.

[31] Press Release, Justice Department Sues Google for Monopolizing Digital Advertising Technologies, U.S. Dep’t Justice (Jan. 24, 2023), https://www.justice.gov/opa/pr/justice-department-sues-google-monopolizing-digital-advertising-technologies.

[32] See Amended Complaint, FTC v. Facebook, Inc., Case No.: 1:20-cv-03590-JEB (D.D.C. Sep. 8, 2021), https://www.ftc.gov/legal-library/browse/cases-proceedings/191-0134-facebook-inc-ftc-v.

[33] Press Release, FTC Sues Amazon for Illegally Maintaining Monopoly Power, Fed. Trade Comm. (Sep. 26, 2023), https://www.ftc.gov/news-events/news/press-releases/2023/09/ftc-sues-amazon-illegally-maintaining-monopoly-power.

[34] OECD Peer Reviews of Competition Law and Policy: Brazil (2019), at 18, www.oecd.org/daf/competition/oecd-peer-reviews-of-competition-law-and-policy-brazil-2019.htm.

[35] Id. at 24.

[36] Giuseppe Colangelo, The Digital Markets Act and EU Antitrust Enforcement: Double & Triple Jeopardy, Int’l Ctr. L. Econ. (Mar. 23, 2022), https://laweconcenter.org/resources/the-digital-markets-act-and-eu-antitrust-enforcement-double-triple-jeopardy.

[37] How National Competition Agencies Can Strengthen the DMA, Eur. Compet. Netw. (Jun. 22, 2021), available at https://ec.europa.eu/competition/ecn/DMA_joint_EU_NCAs_paper_21.06.2021.pdf.

[38] For a detailed overview of CADE’s decisions in digital platforms and payments services, see Mercados de Plataformas Digitais, Cadernos de Cade (Aug. 2023), available at https://cdn.cade.gov.br/Portal/centrais-de-conteudo/publicacoes/estudos-economicos/cadernos-do-cade/Caderno_Plataformas-Digitais_Atualizado_29.08.pdf.

[39] See Geoffrey A. Manne, Against the Vertical Discrimination Presumption, Concurrences (May 2020), https://www.concurrences.com/en/review/numeros/no-2-2020/editorial/foreword; see also Dirk Auer, Matthew Lesh, & Lazar Radic, Digital Overload: How the Digital Markets, Competition and Consumers Bill’s Sweeping New Powers Threaten Britain’s Economy, 4 IEA Perspectives 16-21 (2023), available at https://iea.org.uk/wp-content/uploads/2023/09/Perspectives_4_Digital-overload_web.pdf.

[40] Ministério da Fazenda Apresenta Propostas para Aprimorar a Defesa da Concorrência No Ambiente de Plataformas Digitais, Ministério da Fazenda (Oct. 10, 2024), https://www.gov.br/fazenda/pt-br/assuntos/noticias/2024/outubro/ministerio-da-fazenda-apresenta-propostas-para-aprimorar-a-defesa-da-concorrencia-no-ambiente-de-plataformas-digitais.

[41] Online Intermediation Platforms Market Inquiry. Summary of Final Report and Remedial Actions, S. Afr. Compet. Comm. (Jul. 2023), available at https://www.compcom.co.za/wp-content/uploads/2023/07/CC_OIPMI-Summary-of-Findings-and-Remedial-action.pdf.

[42] See Geoffrey A. Manne & Mario A. Zúñiga, ICLE Comments on the COFECE Report on Marketplace Competition in Mexico, Int’l Ctr. L. Econ. (Apr. 23, 2024), https://laweconcenter.org/resources/icle-comments-on-the-cofece-report-on-marketplace-competition-in-mexico.

[43] Strategic Market Status Investigation into Google’s General Search and Search Advertising Services. Invitation to Comment, (Jan. 14, 2025), available at https://assets.publishing.service.gov.uk/media/678524823ef063b15dca0f04/Invitation_to_Comment.pdf; see also Geoffrey A. Manne, Brian Albrecht, Dirk Auer, Lazar Radic, & Mario A. Zúñiga, ICLE Comments to CMA’s SMS Investigation into Google’s General Search and Search-Advertising Services, Int’l Ctr. L. Econ. (Feb. 3, 2025), https://laweconcenter.org/resources/icle-comments-to-cmas-sms-investigation-into-googles-general-search-and-search-advertising-services.

[44] WJP Rule of Law Index. Brazil 2024 Overall Index Score, World Justice Proj., https://worldjusticeproject.org/rule-of-law-index/country/2024/Brazil (last visited Feb. 10, 2025).

Regulatory Comments

Parsing Brazil’s ‘More Flexible’ Approach to Digital Markets

Following an extensive consultation period, Brazil’s Ministério da Fazenda (Ministry of Finance) last October unveiled its final digital-platform report. Given the public stances previously taken by Brazil’s would-be digital regulators—the antitrust agency Conselho Administrativo de Defesa Econômica (CADE) and the telecommunications regulator Agência Nacional de Telecomunicações (Anatel)—it was likely inevitable that the report would endorse some kind of regulation of large digital platforms. That’s not to mention the peer pressure the ministry felt from other competition authorities like the European Commission or the views expressed by Brazil’s executive branch on other forms of digital market regulation

It is nonetheless useful to give a close look at the report’s findings and the context of the public consultation, as there are both positive and negative aspects to consider.

Read the full piece here.

TOTM

ICLE Comments to the Brazilian Ministry of Finance on Competition in Digital Markets

Executive Summary

We are thankful for the opportunity to submit comments to the secretariat of economic reforms of the Ministry of Finance’s Public Consultation regarding competition in digital markets. The International Center for Law & Economics (“ICLE”) is a nonprofit, nonpartisan global research and policy center founded with the goal of building the intellectual foundations for sensible, economically grounded policy. ICLE promotes the use of law & economics methodologies to inform public-policy debates and has longstanding expertise in the evaluation of competition law and policy. ICLE’s interest is to ensure that competition law remains grounded in clear rules, established precedent, a record of evidence, and sound economic analysis.

Our comments respectfully suggest careful consideration before approving any sectoral regulation of digital markets in Brazil.

Digital markets are generally dynamic, competitive, and beneficial to consumers. Those benefits derive from increased productivity and relatively cheap access to information. Whereas there are always possible competition issues and anticompetitive behavior, these are neither pervasive nor sufficiently unique to justify strict, sui generis preemptive rules. Instead, existing antitrust laws (Act No. 12,529/2011) are sufficient to address potential anticompetitive practices in digital markets. Furthermore, and as demonstrated by recent case law, the Conselho Administrativo de Defesa Econômica (CADE)—the Brazilian competition authority—has the necessary expertise to handle these cases.

There are, of course, challenges in applying antitrust laws to digital markets. For example, defining relevant markets and dominant positions in multisided platform cases, and in the fast-changing digital landscape, can be difficult. The contours of the relevant market are not always clear, and the boundaries between the digital and nondigital world are sometimes overstated. Those challenges can, however, be properly addressed through the existing legal framework and with some institutional measures, such as equipping CADE with more resources to incorporate advanced, state-of-the-art technical expertise.

Finally, ex-ante regulations like the European Union’s Digital Markets Act (DMA) can have unintended consequences, such as stifling innovation, reducing consumer welfare, and increasing compliance costs. They can also lead to increased risks of regulatory capture and rent seeking, as the verdict on whether a gatekeeper has complied with the law often comes down to the degree to which rivals are satisfied. Of course, rivals have a clear personal stake in never being satisfied. By tethering intervention to a comparatively clear public-benefit standard—consumer welfare—competition laws minimize the potential for error costs and decrease the chances that the law will be coopted for private gain.

I. Objectives and Regulatory Rationale

1.1 What economic and competitive reasons would justify the regulation of digital platforms in Brazil?

In general terms, we believe Brazil does not need sectoral regulations for digital platforms, given that the markets for such services are reasonably competitive. According to economic theory and long-tested economic principles, ex-ante regulation[1] is justified only in the presence of market failures[2]. Digital markets, however, do not present the kind of market failures that warrant ex-ante regulation. For example, digital markets do not present natural monopolies, significant externalities, public goods, or informational asymmetries.

To be sure, one can find some levels of informational asymmetries or externalities, but not to such a  magnitude that they could not be addressed through market competition (actual or potential) or through general rules, such as data-protection or consumer-protection laws. A more plausible argument can be made regarding the presence of “network effects” in online platforms. If a firm moves fast and is the first to attract customers, that customer base will, in turn, attract more customers and sellers. This network growth could, so the story goes, result in a single firm monopolizing the market. However, as Evans and Schmalensee, have pointed out, that result is far from inevitable:

Systematic research on online platforms by several authors, including one of us, shows considerable churn in leadership for online platforms over periods shorter than a decade. Then there is the collection of dead or withered platforms that dot this sector, including Blackberry and Windows in smartphone operating systems, AOL in messaging, Orkut in social networking, and Yahoo in mass online media.[3]

Some regulations and proposals—namely, the European Union’s Digital Markets Act (DMA) or the proposed American Innovation and Choice Online Act (AICOA) in the United States—mention the alleged failures of antitrust law (i.e., “too slow” and “too hard for plaintiffs”) as the primary rationale to regulate digital markets. As Giuseppe Colangelo has explained:

Against this background, the regulatory approaches recently advanced do not seem to reflect the distinctive features of digital markets, but rather the need to design enforcement short-cuts to cope with growing concerns that antitrust law is unable to address potential anticompetitive practices by large online platforms. Hence, in most of the mentioned reports, the revival of regulation seems supported more by an alleged antitrust enforcement failure rather than true a market failure. The goal is indeed to fill alleged enforcement gaps in the current antitrust rules by introducing tools aimed at lowering legal standards and evidentiary burdens in order to address anti-competitive practices that standard antitrust analysis would struggle to tackle.[4]

This could be a plausible justification for regulation. Antitrust cases could be more expedited. Competition agencies and courts should generally have more resources and faster procedures to adjudicate cases before market structures or markets in general change, rendering any potential intervention useless.

The fact that cases are “hard to win”, however, is not a valid justification. This might actually be an advantage, not a shortcoming, of antitrust law—especially in the context of “abuse of dominance” or monopolization cases[5]. Regulations like the DMA replace the concepts of “relevant markets” and “market power” or “dominant position” with others like “core platforms services” or “gatekeeper”, with the express intent of providing shortcuts to condemn business models and practices. But these “shortcuts” have a cost: they can easily lead to condemnation of business models and practices that provide benefits for consumers, such as lower prices and a safer user experience, among others.

Even those open to considering digital-markets regulation acknowledge that there are considerable challenges, especially if the intent is to regulate digital platforms like “essential facilities”:

In the tech industry, the first challenge is to identify a stable essential facility. It must be stable because divestitures take a while to perform, and the cost of implementing them would not be worth its while if the location of the essential facility kept migrating. This condition may not be met, though. While the technology and market segments of electricity, railroads and (up to the 1980s) telecoms had not changed much since the early 20th century, digital markets are fast? moving. This makes it difficult for regulators to identify, collect data on, and regulate essential facilities, if the corresponding technologies and demands keep morphing.[6]

Moreover, even if warranted, regulations create barriers to entry and regulatory risks, and they restrict the monetization of business assets. They also tend to make markets less attractive and could deter potential competitors from entering them. It is possible that the DMA is already producing such consequences. As Alba Ribera has explained:

One of the greatest examples of the dichotomy that arises between the different types of consequences that can be generated by the regulatory capture of digital ecosystems can be found in Meta’s recent decision not to launch its new service Threads in the European Economic Space. To the extent that its service could be interpreted as falling within the definition of a “core platform service” belonging to the category of “online social networks” (listed by the DMA), Meta decided to refrain from entering the European market, due to the disproportionate burden that the demanding obligations imposed by the DMA would entail. It should be noted that Threads is still an entrant service in the online social networking market, in contrast to the predominant position occupied by X (previously known as Twitter). In this way, we observe that the categorization as a core platform service unifies and eliminates all the nuances that free competition entails with respect to incoming services in the markets.[7]

In addition, DMA-like regulation could have additional costs for a developing economy like Brazil, where digital markets are not yet as mature as in the EU. As we have explained, while ex-ante regulation of digital markets is not warranted even when a market is mature, bigger and more developed economies may at least be able to afford the costs generated by such regulation.[8]

Some of these unintended consequences were already observable in the EU even before the DMA fully entered into force. From the perspective of users, regulation can serve to make services and products more expensive. Facebook is already trying a new business model in the EU where the consumer would see no ads (thus, there would be no data collection, or less collection of data for marketing purposes, at any rate), but would have to pay for subscriptions. Some American and European privacy-minded users may prefer this model, and would probably be able to afford it. But that is hardly the case for Latin American consumers, who on average have less than a third of the income of their European counterparts. In fact, it is arguably consumers in developing countries who have benefitted the most from digital platforms with zero-price or otherwise affordable products, such as Whatsapp and Facebook.

From the perspective of the companies that own and operate digital platforms and services, if regulations like the DMA make their platforms less profitable, some could choose not to enter or, indeed, to leave such markets. As Geoffrey Manne and Dirk Auer have explained, “to regulate competition, you first need to attract competition”:

Perhaps the biggest factor cautioning emerging markets against adoption of DMA-inspired regulations is that such rules would impose heavy compliance costs to doing business in markets that are often anything but mature. It is probably fair to say that, in many (maybe most) emerging markets, the most pressing challenge is to attract investment from international tech firms in the first place, not how to regulate their conduct.

The most salient example comes from South Africa, which has sketched out plans to regulate digital markets. The Competition Commission has announced that Amazon, which is not yet available in the country, would fall under these new rules should it decide to enter—essentially on the presumption that Amazon would overthrow South Africa’s incumbent firms.

It goes without saying that, at the margin, such plans reduce either the likelihood that Amazon will enter the South African market at all, or the extent of its entry should it choose to do so. South African consumers thus risk losing the vast benefits such entry would bring—benefits that dwarf those from whatever marginal increase in competition might be gained from subjecting Amazon to onerous digital-market regulations.[9]

FIGURE 1: US Search Results for ‘Crepes in Paris’

SOURCE: Chamber of Progress[10]

The DMA entered into effect in full force in March 2024, and while it may be too early to reach definitive conclusions about its impact, consumers are already experiencing a degraded user experience. For example, the French newspaper Liberation has detailed how Google Maps’ map results are not showing directly in search-results pages in the same ways they once did (See Figures 1 and 2).

Presumably, this is happening because a direct link to Google Maps would constitute “self-preferencing” (See our answer to question 4, below) wherein Google, the search engine, would be “unfairly” directing traffic to its own digital-navigation service. Such conduct is prohibited by Art.6(5) of the DMA. But this kind of integration is very convenient for consumers, who can search for a restaurant and then quickly find the directions to walk or commute to it (and sometimes even book a table).

FIGURE II: French VPN Search Results for ‘Crepes in Paris’

SOURCE: Chamber of Progress[11]

While removing some features, Google is also adding more results to its results pages, because it assumes that it is required under the DMA to provide “fair” links to competing sites like Yelp and TripAdvisor.[12] In theory, the consequence of such requirements is “more options” for consumers. In practice, what consumers have is a more cluttered results page.

Apple highlights another quality-degrading consequence of the DMA: the obligation it imposes that platforms like iOS allow competing app stores and to allow apps to be downloaded directly from their websites (“sideloading”).[13] This “openness”, however, would allow that third-party applications to bypass controls and protections implemented to safeguard users’ security and privacy.[14]

Finally, it is worth mentioning that the DMA’s unintended consequences affect not only consumers, but also business users. Since Google began to implement the DMA on 19 January, 2024, early estimates suggest that clicks from Google ads to hotel websites decreased by 17.6%.[15]  Presumably, this is a failure even by the DMA’s own (uncertain) standards.

1.2 Are there different reasons for regulating or not regulating different types of platforms?

This is a truly relevant question. As we have explained in our previous answer, we do not believe that digital markets generally need to be regulated. But there is an important preceding question: are these markets sufficiently similar to one another to be covered by a single body of regulation?

The terms “digital platforms” and “digital markets” are extremely broad. As was explained at a recent OECD Competition Committee meeting:

The digital economy spans from online retail to real estate listings to concert tickets to travel booking to social media. Consequently, there is not a universally defined digital market. While digital markets are dynamic and evolving, as many markets are, digital market innovations in some segments are not as groundbreaking as they once were. In a similar manner, prominent digital market characteristics are not unique to digital markets. Print newspapers are multi-sided markets. Broadcast radio is zero-price[16]” (emphasis added).

In that same vein, Herbert Hovenkamp concludes that:

… broad regulation is ill-suited for digital platforms because they are so disparate. By contrast, regulation in industries such as air travel, electric power, and telecommunications targets firms with common technologies and similar market relationships. This is not the case, however, with the four major digital platforms that have drawn so much media and political attention—namely, Amazon, Apple, Facebook, and Google. These platforms have different inputs. They sell different products, albeit with some overlap, and only some of these products are digital. They deal with customers and diverse sets of third parties in different ways. What they have in common is that they are very large and that a sizeable portion of their operating technology is digital.[17]

When dealing with platforms so different from one another—such as, e.g., Google and Nubank, or Spotify and Ebanx—it is highly unlikely that a single body of strict ex-ante rules would appropriate for them all. In some of these markets, there are clear market leaders with significant market share and few competitors. Others are more fragmented, with more evenly distributed market shares. Some markets present strong “network effects” (e.g., payment systems); while, in others, any “network effects” are much milder (e.g., streaming audio and video). Some products and platforms rely on extremely specific user data, while others work with more general data, etc.

Thus, some rules will be useless in certain markets. To the extent that they must be enforced across the board, however, they will nevertheless generate compliance costs that could be passed on to consumers, despite generating little or no benefits. For example, a data-sharing mandate like the one contained in Art.6 DMA could force gatekeepers to share data that is of little use to other platforms or “business users”. Even when the rules achieve their intended goal of helping business users, they could still negatively impact consumers. The DMA, however, does not allow for any consumer welfare or efficiency exemptions from the conduct it mandates.

1.3 To what extent does the Brazilian context approach or differ from the context of other jurisdictions that have adopted or are considering new regulations for digital platforms? Which cases, studies, or concrete examples in Brazil would indicate the need to review the Brazilian legal-regulatory framework?

The Brazilian context presents several differences from that of other jurisdictions that have adopted or are considering digital-platform regulations. These differences stem from the overall economic context, digital-market characteristics, institutional context, and previous enforcement of antitrust law in each of these divergent marketplaces.

Brazil is, of course, an important economy with tremendous potential, but it remains a developing one. Its GDP growth is projected to slow in 2024. According to the OECD, “(r)ecent reforms have reduced unnecessary bureaucracy and regulations, but further efforts are needed to reduce administrative burdens on markets for goods and services that hamper competition and productivity growth”[18]. In that vein, Brazil should be wary of rushing to pass new regulations that could discourage both local and foreign investment.

Regarding the Brazilian legal and regulatory framework, we should bear in mind that jurisdictions like the EU experimented with the use of antitrust law in digital markets for years before passing the DMA. In fact, most—if not all—of the DMA’s prohibitions and obligations stem from prior competition-law cases[19]. The EU eventually decided that it preferred to pass blanket ex-ante rules against certain practices, rather than having to litigate each through competition law. Whether or not this was the right decision is up for debate (our position is that it was not), but one thing is certain: The EU deployed its competition toolkit against digital platforms extensively before learning from those outcomes and deciding that it needed to be complemented with a new and broader set of enforcer-friendly bright-line rules.

By contrast, Brazil has initiated only a handful of antitrust cases against digital platforms. According to numbers published by CADE[20], it has reviewed 233 merger cases related to digital-platform markets between 1995 and 2023. Regarding unilateral conduct (monopolization cases)—those most relevant for the discussion of digital-market regulation, like Bill 2768/2020 already being discussed in the Brazilian Congress (hereinafter, Bill 2768)[21]—CADE opened 23 conduct cases. Of those 23 cases, nine are still under investigation, 11 were dismissed, and only three were settled via a cease-and-desist agreement. In this sense, only three cases (CDAs) out of 23 were “condemned”. It is highly questionable whether these cases provide sufficient evidence of intrinsic competition problems in digital markets.

In fact, the recent entry of companies into many of those markets suggests that the opposite is closer to the truth. There are numerous examples of entry in a variety of digital services, including the likes of TikTok, Shein, Shopee, and Daki, to name just a few.

II. Sufficiency and Adequacy of the Current Model of Economic Regulation and Defense of Competition

2.1 Is the existing legal and institutional framework for the defense of competition—notably, Law No. 12,529/2011—sufficient to deal with the dynamics of digital platforms? Are there competition and economic problems that are not satisfactorily addressed by the current legislation? What improvements would be desirable to the Brazilian System for the Defense of Competition (SBDC) to deal more effectively with digital platforms?

Yes. To be sure, as in any market, competition problems can emerge in digital markets (e.g., there may be incentives to behave anticompetitively, and some conduct could have an anticompetitive impact), but any possible anticompetitive conduct can and should be addressed by applying antitrust law (Law No. 12,529/2011).

As Colangelo and Borgogno have argued:

… recent and ongoing antitrust investigations demonstrate that standard competition law still provides a flexible framework to scrutinize several practices sometimes described as new and peculiar to app stores.

This is particularly true in Europe, where the antitrust framework grants significant leeway to antitrust enforcers relative to the U.S. scenario, as illustrated by the recent Google Shopping decision.[22]

Indeed, the European Commission has initiated procedures and even imposed fines against Google,[23] while the UK Competition and Markets Authority has settled cases with negotiated remedies against Amazon.[24] In the United States, both the Federal Trade Commission and the U.S. Justice Department (and several states) have initiated cases against Google,[25] Facebook,[26] and Amazon.[27]

In the same way, we think that CADE should be able to address any potential competition issues. CADE has already initiated investigations and cases related to alleged refusals to deal, self-preferencing, and discrimination against companies like Google, Apple, Meta, Uber, Booking.com, Decolar.com, and Expedia—i.e., precisely the firms that would presumably be covered by a new digital-markets regulation.

A review conducted by the OECD in 2019 concluded that “(w)hile competition law regimes in many emerging economies may still struggle to achieve enforcement goals, the Brazilian regime has largely been considered a success”[28] and that:

CADE is well-regarded within the competition practitioner community both nationally and internationally, the business community, and within the Government administration due to its technical capabilities. It is considered one of the most efficient public agencies in Brazil and its international standing as a leading competition authority both regionally and globally reinforces this domestic view that it is a model public agency.[29]

There should therefore be no doubt in that regard that CADE has the institutional tools and the technical expertise to properly deal with cases in digital markets.

Moreover, based on the EU experience, there is a risk of double jeopardy at the intersection of traditional competition law and ex-ante digital regulation. As Giuseppe Colangelo has written, the DMA is grounded explicitly on the notion that competition law alone is insufficient to effectively address the challenges and systemic problems posed by the digital-platform economy[30]. Indeed, the scope of antitrust is limited to certain instances of market power (e.g., dominance on specific markets) and of anticompetitive behavior. Further, its enforcement occurs ex post and requires extensive investigation on a case-by-case basis of what are often extraordinarily complex sets of facts. Proponents of ex-ante digital-markets regulation argue that competition law therefore may not effectively address the challenges to well-functioning markets posed by the conduct of gatekeepers, who are not necessarily dominant in competition-law terms. As a result, regimes like the DMA invoke regulatory intervention to complement traditional antitrust rules by introducing a set of ex-ante obligations for online platforms designated as gatekeepers. This also allows enforcers to dispense with the laborious process of defining relevant markets, proving dominance, and measuring market effects.

But despite claims that the DMA is not an instrument of competition law, and thus would not affect how antitrust rules apply in digital markets, the regime does appear to blur the line between regulation and antitrust by mixing their respective features and goals. Indeed, the DMA shares the same aims and protects the same legal interests as competition law.

Further, its list of prohibitions is effectively a synopsis of past and ongoing antitrust cases, such as Google Shopping (Case T-612/17), Apple (AT.40437) and Amazon (Cases AT.40462 and AT.40703). Acknowledging the continuum between competition law and the DMA, the European Competition Network (ECN) and some EU member states (self-anointed “friends of an effective DMA”) initially proposed empowering national competition authorities (NCAs) to enforce DMA obligations[31].

Similarly, the prohibitions and obligations often contemplated in proposed digital-markets regulations could, in theory, all be imposed by CADE. In fact, CADE has investigated, and is still investigating, several large companies that would likely fall within the purview of a digital-markets regulation, including Google, Apple, Meta, (still under investigation) Uber, Booking.com, Decolar.com, Expedia and iFood (settled through case-and-desist agreements). CADE’s past and current investigations against these companies already covered conduct targeted by the DMA—such as, e.g., refusal to deal, self-preferencing, and discrimination[32].[16] Existing competition law under Act 12.529/11, the Brazilian competition law, thus clearly already captures these forms of conduct.

The difference between the two regimes is that, while general antitrust law requires a showing of harm and exempts conduct that benefits consumers, sector-specific regulation would, in principle, not.

There is one additional complication. Specific regulation of digital markets (such as Bill 2768) pursues many (though not all) of the same objectives as Act 12.529/11. Insofar as these objectives are shared, it could lead to double jeopardy—i.e., the same conduct being punished twice under slightly different regimes. It could also produce contradictory results because, as pointed out above, the objectives pursued by the two bills are not identical. Act 12.529/11 is guided by the goals of “free competition, freedom of initiative, social role of property, consumer protection and prevention of the abuse of economic power” (Art. 1). To these objectives, Bill 2768 adds “reduction of regional and social inequalities” and “increase of social participation in matters of public interest”. While it is true that these principles derive from Art. 170 of the Brazilian Constitution (“economic order”), the mismatch between the goals of Act 12.529/11 and Bill 2768 may be sufficient to lead to situations in which conduct that is allowed or even encouraged under Act 12.529/11 is prohibited under Bill 2768.

For instance, procompetitive conduct by a covered platform could nevertheless exacerbate “regional or social inequalities”, because it invests heavily in one region but not others. In a similar vein, safety, privacy, and security measures implemented by, e.g., an app-store operator that typically would be considered beneficial for consumers under antitrust law[33] could feasibly lead to less participation in discussions of public interest (assuming one could easily define the meaning of such a term).

Accordingly, sector-specific regulation for digital markets could fragment Brazil’s legal framework due to overlaps with competition law, stifle procompetitive conduct, and lead to contradictory results. This, in turn, is likely to impact legal certainty and the rule of law in Brazil, which could adversely influence foreign direct investment[34].

III. Sufficiency and Adequacy of the Current Model of Economic Regulation and Defense of Competition

3. Law No. 12,529/2011 establishes, in paragraph 2 of article 36 that: “A dominant position is presumed whenever a company or group of companies is capable of unilaterally or coordinated changes in market conditions or when it controls 20% (twenty percent) or more of the relevant market, and this percentage may be changed by CADE for specific sectors of the economy”. Are the definitions of Law 12,529/2011 related to market power and abuse of dominant position sufficient and adequate, as they are applied, to identify market power of digital platforms? If not, what are the limitations?

The existence of a rule like the one contained in paragraph 2 of article 36 of Law No. 12,259/2011 is yet another reason to question any proposal to enact sector-specific regulation of digital markets. The article’s legal presumption is one of the “shortcuts” that regulations like the DMA equip competition agencies or regulators with, allegedly to avoid the administrative costs involved in defining relevant markets. This is one of the purported “benefits” of ex-ante regulation of digital markets.

But a presumption of dominance where market shares exceed 20% is not sufficient to identify digital platforms’ market power, as it would lead to too many “false positives”. It is important to note that market share alone is a misleading indicator of market power. A firm with a large market share could have little market power if it faces market substitution, potential competition, or competitors with able to increase production capacity[35].

To be sure, some competition laws around the world include dominance presumptions based on market share, but in those cases, the thresholds tend to be higher (40% or more).[36]

4. Some behaviors with potential competitive risks have become relevant in discussions about digital platforms, including: (i) economic discrimination by algorithms; (ii) lack of interoperability between competing platforms in certain circumstances; (iii) the excessive use of personal data collected, associated with possible discriminatory conduct; and (iv) the leverage effect of a platform’s own product to the detriment of other competitors in adjacent markets; among others. To what extent does the antitrust law offer provisions to mitigate competition concerns that arise from vertical or complementarity relationships on digital platforms? Which conducts with anticompetitive potential would not be identified or corrected through the application of traditional antitrust tools?

As we have explained in our answer to Question 2, any possible anticompetitive conduct in digital platforms can and should be addressed with the application of antitrust law.

There are certain types of behavior in digital markets that have been targeted by ex-ante regulations that are nevertheless capable of—or even central to—delivering significant procompetitive benefits. It would be unjustified and harmful to subject such conduct to per se prohibitions, or to reverse the burden of proof. Instead, this type of conduct should be approached neutrally, and examined on a case-by-case basis[37].

1. Self-preferencing

Self-preferencing refers to when a company gives preferential treatment to one of its own products (presumably, this type of behavior could already be caught by Art. 10, paragraph II of Bill 2768). An example would be Google displaying its shopping service at the top of search results, ahead of alternative shopping services. Critics of this practice argue that it puts dominant firms in competition with other firms that depend on their services, and that this allows companies to leverage their power in one market to gain a foothold in an adjacent market, thus expanding and consolidating their dominance. But this behavior can also be procompetitive and beneficial to users.

Over the past several years, a growing number of critics have argued that big-tech platforms harm competition by favoring their own content over that of their complementors. Over time, this argument against self-preferencing has become one of the most prominent among those seeking to impose novel regulatory restrictions on these platforms.

According to this line of argument, complementors are “at the mercy” of tech platforms. By discriminating in favor of their own content and against independent “edge providers,” tech platforms cause “the rewards for edge innovation [to be] dampened by runaway appropriation,” leading to “dismal” prospects “for independents in the internet economy—and edge innovation generally.”[38]

The problem, however, is that the claims of presumptive consumer harm from self-preferencing (also known as “vertical discrimination”) are based neither on sound economics nor evidence.

The notion that a platform’s entry into competition with edge providers is harmful to innovation is entirely speculative. Moreover, it is flatly contradicted by a range of studies that show the opposite is likely to be true. In reality, platform competition is more complicated than simple theories of vertical discrimination would have it,[39] and the literature establishes that there is certainly no basis for a presumption of harm.[40]

The notion that platforms should be forced to allow complementors to compete on their own terms—free of constraints or competition from platforms—is a flavor of the idea that platforms are most socially valuable when they are most “open.” But mandating openness is not without costs, most importantly in terms of the platform’s effective operation and its incentives for innovation.

“Open” and “closed” platforms are simply different ways to supply similar services, and there is scope for competition among these divergent approaches. By prohibiting self-preferencing, a regulator might therefore foreclose competition to consumers’ detriment. As we have noted elsewhere:

For Apple (and its users), the touchstone of a good platform is not ‘openness’, but carefully curated selection and security, understood broadly as encompassing the removal of objectionable content, protection of privacy, and protection from ‘social engineering’ and the like. By contrast, Android’s bet is on the open platform model, which sacrifices some degree of security for the greater variety and customization associated with more open distribution. These are legitimate differences in product design and business philosophy.[41]

Moreover, it is important to note that the appropriation of edge innovation and its incorporation into a platform (a commonly decried form of platform self-preferencing) greatly enhances the innovation’s value by sharing it more broadly, ensuring its coherence with the platform, providing incentivizes for optimal marketing and promotion, and the like. In other words, even if there is a cost in terms of reduced edge innovation, the immediate consumer-welfare gains from platform appropriation may well outweigh those (speculative) losses.

Crucially, platforms have an incentive to optimize openness, and to assure complementors of sufficient returns on their platform-specific investments. This does not, however, mean that maximum openness is always optimal. In fact, a well-managed platform typically will exert top-down control where doing so is most important, and openness where control is least meaningful.[42] But this means that it is impossible to know whether any particular platform constraint (including self-prioritization) on edge-provider conduct is deleterious, and similarly whether any move from more to less openness (or the reverse) is harmful.

This state of affairs contributes to the indeterminate and complex structure of platform enterprises. Consider, for example, the large online platforms like Google and Facebook. These entities elicit participation from users and complementors by making access freely available for a wide range of uses, exerting control over that access only in such limited ways as to ensure high quality and performance. At the same time, however, these platform operators also offer proprietary services in competition with complementors, or offer portions of the platform for sale or use only under more restrictive terms that facilitate a financial return to the platform. Thus, for example, Google makes Android freely available, but imposes contractual terms that require installation of certain Google services in order to ensure sufficient return.

The key is understanding that, while constraints on complementors’ access and use may look restrictive relative to an imaginary world without any restrictions, the platform would not be built in such a world the first place. Moreover, compared to the other extreme of full appropriation, such constraints are relatively minor and represent far less than full appropriation of value or restriction on access. As Jonathan Barnett aptly sums it up:

The [platform] therefore faces a basic trade-off. On the one hand, it must forfeit control over a portion of the platform in order to elicit user adoption. On the other hand, it must exert control over some other portion of the platform, or some set of complementary goods or services, in order to accrue revenues to cover development and maintenance costs (and, in the case of a for-profit entity, in order to capture any remaining profits).[43]

For instance, companies may choose to favor their own products or services because they are better able to guarantee their quality or quick delivery.[44][ Amazon, for instance, may be better placed to ensure that products provided by the Fulfilled by Amazon (FBA) logistics service are delivered in a timely manner, relative to other services. Consumers also may benefit from self-preferencing in other ways. If, for instance, Google were prevented from prioritizing Google Maps or YouTube videos in its search queries, it could be harder for users to find optimal and relevant results. If Amazon is prohibited from preferencing its own line of products on Amazon Marketplace, it might instead opt not to sell competitors’ products at all.

The power to prohibit platforms from requiring or encouraging customers of one product to also use another would limit or prevent self-preferencing and other similar behavior. Granted, traditional competition law has sought to restrict the “bundling” of products by requiring they be purchased together, but to prohibit incentivizes, as well, goes much further.

2. Interoperability

Another mot du jour is interoperability, which might fall under Art. 10, paragraph IV of Bill 2768. In the context of digital ex-ante regulation, “interoperability” means that covered companies could be forced to ensure that their products integrate with those of other firms—e.g., requiring a social network be open to integration with other services and apps, a mobile-operating system be open to third-party app stores, or a messaging service be compatible with other messaging services.

Without regulation, firms may or may not choose to make their software interoperable. But both the DMA and the UK’s proposed Digital Markets, Competition and Consumer Bill (“DMCC”)[45] would empower authorities to require it. Another example is data “portability”, under which customers are permitted to move their data from one supplier to another, in much the same way that a telephone number can be retained when one changes networks.

The usual argument is that the power to require interoperability might be necessary to overcome network effects and barriers to entry/expansion. Clearly, portability similarly makes it easier for users to switch from one provider to another and, to that extent, intensifies competition or makes entry easier. The Brazilian government should not, however, overlook that both come with costs to consumer choice—in particular, by raising security and privacy concerns, while generating uncertain benefits for competition. It is not as though competition disappears when customers cannot switch services as easily as they can turn on a light. Companies compete upfront to attract such consumers through tactics like penetration pricing, introductory offers, and price wars.[46]

A closed system—that is, one with relatively limited interoperability—may help to limit security and privacy risks. This could encourage platform usage and enhance the user experience. For example, by remaining relatively closed and curated, Apple’s App Store grants users assurances that apps meet certain standards of security and trustworthiness. “Open” and “closed” ecosystems are not synonymous with “good” and “bad”, but instead represent differing product-design philosophies, either of which might be preferred by consumers. By forcing companies to operate “open” platforms, interoperability obligations could undermine this kind of inter-brand competition and override consumer choices.

Apart from potentially damaging the user experience, it is also doubtful whether some interoperability mandates—such as those between social-media or messaging services—can achieve their stated objective of lowering barriers to entry and promoting greater competition. Consumers are not necessarily more likely to switch platforms simply because they are interoperable. An argument can even be made that making messaging apps interoperable, in fact, reduces the incentive to download competing apps, as users can already interact from the incumbent messaging app with competitors.

3. Choice screens

Some ex-ante rules seek to address firms’ ability to influence user choice of apps through pre-installation, defaults and the design of app stores. This has sometimes resulted in “choice screen” mandates—e.g., requiring users to choose which search engine or mapping service is installed on their phone. But it is important to understand the tradeoffs at play here: choice screens may facilitate competition, but they do so at the expense of the user experience, in terms of the time taken to make such choices. There is a risk, without evidence of consumer demand for “choice screens”, that such rules merely impose legislators’ preference for greater optionality over what users find most convenient. Unless there is explicit public demand in Brazil for such measures, it would be ill-advised to implement a choice-screen obligation.

4. Size and market power

Many of the prohibitions and obligations contemplated in ex-ante digital-regulation regimes target incumbents’ size, scalability, and “strategic significance”. It is widely claimed that, because of network effects, digital markets are prone to “tipping”, wherein once a producer gains sufficient market share, it quickly becomes a complete or near-complete monopolist. Although they may begin as very competitive, these markets therefore exhibit a marked “winner-takes-all” characteristic. Ex-ante rules often try to avert or revert this outcome by targeting a company’s size, or by targeting companies with market power.

But many investments and innovations that would benefit consumers—either immediately or over the long term—may also serve to enhance a company’s market power, size, or strategic significance. Indeed, improving a firm’s products and thereby increasing its sales will often lead to increased market power.

Accordingly, targeting size or conduct that bolsters market power, without any accompanying evidence of harm, creates a serious danger of broad inhibition of research, innovation, and investment—all to the detriment of consumers. Insofar as such rules prevent the growth and development of incumbent firms, they may also harm competition, since it may well be these firms that are most likely to challenge the market power of firms in adjacent markets. The case of Meta’s introduction of Threads as a challenge to Twitter (or X) appears to be just such an example. Here, per-se rules adopted to prohibit bolstering a firm’s size or market power in one market may, in fact, prevent that firm’s entry into a market dominated by another. In that case, policymaker action protects monopoly power. Therefore, a much subtler approach to regulation is required.

We do not think it appropriate to reverse the burden of proof in the context of alleged competition harms in digital platforms. Without substantive evidence that such conduct causes widespread harm to a well-defined public interest (e.g., similar to cartels in the context of antitrust law), there is no justification for reversing the burden of proof, and any such reversals risk undermining consumer benefits and innovation, and discouraging investment in the Brazilian economy, out of a justified fear that procompetitive conduct will result in fines and remedies. By the same token, where the appointed enforcer makes a prima facie case of harm—whether in the context of antitrust law or ex-ante digital regulation—it should also be prepared to address arguments related to efficiencies.

5. Regarding the control of structures, is there a need for some type of adaptation in the parameters of submission and analysis of merger acts that seeks to make the detection of potential harm to competition in digital markets more effective? For example: mechanisms for reviewing acquisitions below the notification thresholds, burden of proof, and elements for analysis – such as the role of data, among others – that contribute to a holistic approach to the topic.

No, no change is needed regarding notification thresholds or analysis criteria for merger operations in digital markets. In line with our answer to Question 4 above (see 4.4, on “size and market power”), we do not think it is appropriate to reverse the burden of proof in the context of digital platforms.

As Bowman and Dumitriu show in a paper[47] analyzing a United Kingdom proposal to create special (more stringent) rules for mergers in the digital sector, mergers and acquisitions can actually enhance competition in digital markets, because:

  1. They are a profitable exit strategy for entrepreneurs;
  2. They enable an efficient “market for corporate control”;
  3. They can reduce transaction costs among complementary products; and
  4. They can support inter-platform competition.

Therefore, Bowman and Dumitriu recommend that “the government should consider a more moderate approach thar retains the balance of probabilities approach” and that, rather than reform competition laws, it should work to increase the availability of growth capital to small firms (tax breaks, financial support, etc.)[48].

There may, of course, be some challenges in applying antitrust laws to digital markets. It is often mentioned that defining relevant markets is harder in the digital context, due to their complexity and multi-sidedness, and the fact that competition is often not price-based. The rapid evolution of digital markets and the presence of network effects are also mentioned as reasons to create new rules.

Methodological difficulties do not, however, justify a major revamp of antitrust rules. Antitrust law and economics are sufficiently flexible and versatile to adapt to new markets. Modernization of the analysis and methodologies, of course, is always welcome, but that can be done within the current set of rules. Rather, it would be valuable to encourage the use of the same general analyses and tools in a wide scope of markets, so that the authority has a common benchmark and more general lessons to extract from specific cases.

IV. Design of a Possible Regulatory Model for Procompetitive Economic Regulation

5. Should Brazil adopt specific rules of a preventive nature (ex ante character) to deal with digital platforms, in order to avoid conduct that is harmful to competition or consumers? Would antitrust law—with or without amendments to deal specifically with digital markets—be sufficient to identify and remedy competition problems effectively, after the occurrence of anticompetitive conduct (ex post model) or by the analysis of merger acts?

No, there should not be absolute prohibitions on these sorts of conduct, especially without substantive experience to suggest that such conduct is always or almost always harmful and largely irredeemable (NB: Here, we answer the question in general terms; please see our answer to Question 4 for a discussion of why particular conduct (e.g., self-preferencing) should not be per-se prohibited).

Regardless of the harm to the targeted companies, overly broad prohibitions (or mandates) can harm consumers by chilling procompetitive conduct and discouraging innovation and investment. This is particularly true when no showing of harm is required and the law is not amenable to efficiencies arguments, as in the case of the DMA. The fact that such prohibitions apply to vastly different markets (for example, cloud services have little to do with search engines) regardless of context is also a sure sign that they are overly broad and poorly designed.

In fact, there are indications that, where DMA-style regulations have been introduced, it has delayed the advance of technology. For example, Google’s Bard artificial intelligence (AI) was rolled out later in Europe due to the EU’s uncertain and strict AI and privacy regulations.[49] Similarly, Meta’s Threads was not initially available in the EU, because of the constraints imposed by both the DMA and the EU’s data-privacy regulation (GDPR).[50] Twitter/X CEO Elon Musk has indicated that the cost of complying with EU digital regulations, such as the Digital Services Act, could prompt the company to exit the European market.[51]

Apart from foreclosing procompetitive conduct that benefits consumers and freezing technology in time (which would ultimately exacerbate the technological chasm between more and less advanced countries), rigid per-se rules could also apply to many budding companies that cannot be considered “gatekeepers” by any stretch of the imagination. This risk is particularly notable in the context of Brazil, given the extremely low threshold for what constitutes a “gatekeeper” enshrined in Article 9 (R$70 million, or approximately USD$14 million). Thus, many Brazilian “unicorns” could—either immediately or in the near future—be captured by these new, restrictive rules, which could in turn stunt their growth and chill innovative products. Ultimately, this would imperil Brazil’s emerging status as “[Latin America’s] most established startup hub,” and cast a shadow on what The Economist has referred to as the bright future of Latin American startups.[52][33]

The list of harmed companies could include some of Brazil’s most promising startups, such as:

  • 99 (transport app)
  • Neon Bank (digital bank)
  • C6 Bank (digital bank)
  • CloudWalk (payment method)
  • Creditas (lending platform)
  • Ebanx ((payment solutions)
  • Facily (social commerce)
  • Frete.com (road freight)
  • Gympass (from corporate benefits)
  • Hotmart (platform for selling digital products)
  • iFood (delivery)
  • Loft (rental platform)
  • Loggi (logistics)
  • Bitcoin Market (cryptocurrency broker)
  • Merama (e-commerce)
  • Madeira Madeira (home and decoration products store)
  • Nubank (bank)
  • Olist (e-commerce)
  • Wildlife (game developer)
  • Quinto Andar (rental platform)
  • Vtex (technology and digital commerce)
  • Unico (biometrics)
  • Dock (infrastructure)
  • Pismo (technology for payments and banking services)[53][34]

6.1. What is the possible combination of these two regulatory techniques (ex ante and ex post) for the case of digital platforms? Which approach would be advisable for the Brazilian context, also considering the different degrees of flexibility necessary to adequately identify the economic agents that should be the focus of any regulatory action and the corresponding obligations?

As mentioned in our answers to questions 1, 4, and 6, we don’t think there is a valid justification to regulate digital markets at the sectoral level. Therefore, there is not an “ideal” combination of ex ante and ex post intervention in such markets. Digital competition and the “rule of reason” used to analyze unilateral conduct already provide the flexibility needed to adequately identify the economic agents that should be the focus of intervention (after the fact, with actual information about the impact of specific conducts in the market) and the corresponding obligations (remedies).

7. Jurisdictions that have adopted or are considering the adoption of pro-competitive regulatory models – such as the new European Union rules, the Japanese legislation and the United Kingdom’s regulatory proposal, among others – have opted for an asymmetric model of regulation, differentiating the impact of digital platforms based on their segment of operation and according to their size, as is the case with gatekeepers in the European DMA.

7.1. Should Brazilian legislation that introduces parameters for the economic regulation of digital platforms be symmetrical, covering all agents in this market or, on the contrary, asymmetric, establishing obligations only for some economic agents?

Regulations like the DMA or Brazil’s proposed Bill 2768 contemplate thresholds (usually based on sales or the number of users) that trigger application of its prohibitions and mandates. In theory, these thresholds make said regulations more “reasonable”, in the sense they would be enforced only against digital platform that are “too big” or “too powerful”. Sales and quantity of users, however, are not reliable proxies for market power. In that sense, as we have explained in our previous answers, ex-ante regulation of digital markets would enforce “blind” rules that will ban conduct or business models that are beneficial for consumers.

Moreover, asymmetric regulation (especially absent evidence of market power by any specific economic agent) could “distort market signals and create opportunities for strategic and inefficient uses of regulatory authority by competitors”[54].

7.2. If the answer is to adopt asymmetric regulation, what parameters or references should be used for this type of differentiation? What would be the criteria (quantitative or qualitative) that should be adopted to identify the economic agents that should be subject to platform regulation in the Brazilian case?

As mentioned in our answers to questions 1, 4, and 6, we do not think there is a valid justification to regulate digital markets, much less in an asymmetric way. If, however, a regulation were to be adopted and designed to apply to only some specific market actors, it should be applied only after a finding of a large degree of market power (that is, “monopoly power” or a “dominant position”).

8. Are there risks for Brazil arising from the non-adoption of a new pro-competitive regulatory model, especially considering the scenario in which other jurisdictions have already adopted or are in the process of adopting specific rules aimed at digital platforms, taking into account the global performance of the largest platforms? What benefits could be obtained by adopting a similar regulation in Brazil?

Every approach entails risks. The question is whether adopting ex-ante rules is riskier than not adopting them, an assessment that ultimately comes down to an evaluation of error costs. In our view, there are not any significant risks (if any) of not adopting a specific regulation for digital markets and, in any case, those risks that do exist are far outweighed by the benefits. Countries that take their time to study markets, perform proper regulatory-impact analysis, and enact a serious notice-and comment-process, will be most able to learn from the experience of other regulators and markets[55]. The recent deployment of the DMA in Europe will be useful case study. South Korea, for instance, recently hit the “pause button” on its proposal to regulate digital markets—citing, among other reasons “exploring methods to regulate platforms efficiently while reducing the industry’s load”.[56]

The other side of the coin is that promptly approving regulation has costs: inefficiency, regulatory burden, and unintended consequences like less competition and inferior products delivered to consumers, as explained above. Furthermore, once ex-ante rules are passed, any ensuing costs and unintended consequences will be exceedingly difficult to reverse.

8.1. How would Brazil, in the case of the adoption of an eventual pro-competition regulation, integrate itself into this global context?

Brazil, its policymakers, regulators, and competition agencies can perfectly integrate into a global context of digitalization of markets without adopting ex-ante regulation of digital markets. Brazil can collaborate and exchange information with other policymakers and enforcement agencies under existing competition laws and forums like the OECD and the International Competition Network. With these interactions, Brazil can assure that its legal and institutional framework is up to date and that its regulations are based on evidence and solid economic theory.

Finally, only a handful of countries have adopted comprehensive ex-ante digital competition rules; namely, the EU and Germany. Others are considering their adoption, but have not done so yet (e.g., Turkey, South Africa, Australia, and South Korea). The extent to which the global context is currently defined by these new, experimental rules is thus often overstated. As argued above, Brazil should wait and see. If the new rules prove not to be what their proponents claim—as we have argued here—Brazil would derive a competitive advantage from not following suit.

V. Institutional Arrangement for Regulation and Supervision

9. Is it necessary to have a specific regulator for the supervision and regulation of large digital platforms in Brazil, considering only the economic-competitive dimension?

9.1. If so, would it be appropriate to set up a specific regulatory body or to assign new powers to existing bodies? What institutional coordination mechanisms would be necessary, both in a scenario involving existing bodies and institutions, and in the hypothesis of the creation of a new regulator?

In line with our previous answers, we do not think it is necessary to set up a new regulator or assign regulatory functions to existing agencies. Bill 2768, for instance, proposes to give ANATEL the function to oversee digital markets, building on its expertise in telecommunications regulation. Most of the proposals to regulate digital markets, however, appear to be competition-based, or at least declare the pursuit of goals similar to competition law. Therefore, the agency best-positioned to enforce such a regulation would, in principle, be CADE. Conversely, there is a palpable risk that, in discharging its duties under Bill 2768, ANATEL would transpose the logic and principles of telecommunications regulation to “digital” markets. That would be misguided, as these are two very different markets.

Not only are “digital” markets substantively different from telecommunications markets, but there is really no such thing as a clearly demarcated concept of a “digital market”. For example, the digital platforms described in Art. 6, paragraph II of Bill 2768 are not homogenous, and cover a range of different business models. In addition, virtually every market today incorporates “digital” elements, such as data. Indeed, companies operating in sectors as divergent as retail, insurance, health care, pharmaceuticals, production, and distribution have all been “digitalized.” What appears to be needed is an enforcer with a nuanced understanding of the dynamics of digitalization and, especially, the idiosyncrasies of digital platforms as two-sided markets. While CADE arguably lacks substantive experience with digital platforms, it is better-placed to enforce Bill 2768 than ANATEL because of its deep experience with the enforcement of competition policy.

Moreover, having the regulation applied by CADE would reduce the risk or “regulatory capture”. As Jean Tirole has explained:

… regulatory capture, which is one of the reasons why multi?industry regulators and competition authorities were created in the past. This raises the issue of where the new agency should be located. It could be part of the Competition authority, part of another agency (…), or a stand?alone entity. Making it part of the Competition Authority would reduce a bit the risk of capture and would also avoid the lengthy debates about which companies are really digital, which might arise if the unit is located within a sectoral regulator[57].

[1] By ex-ante regulation, we mean specific rules and duties that are sector specific (“digital markets”), whose application would not be based on the effects of the conduct regulated and where fines would apply in case of noncompliance. See Bruce H. Kobayashi & Joshua D. Wright, Antitrust and Ex-Ante Sector Regulation, The Glob. Antitrust Inst. Report on the Dig. Econ 25. (2020); See Table 1, at 869.

[2] See Robert Cooter & Tomas Ulen, Law and Economics (2000), at 40-43; W. Kip Viscusi, Joseph E. Harrington, Jr. and John M. Vernon, Economics of Regulation and Antitrust (2005), at 376-379.

[3] David S. Evans & Richard Schmalensee. Debunking The “Network Effects” Bogeyman, Regulation 39 (Winter 2017-2018) available at https://www.cato.org/sites/cato.org/files/serials/files/regulation/2017/12/regulation-v40n4-1.pdf.

[4] Giuseppe Colangelo, Evaluating the Case for Regulation of Digital Platforms, The Glob. Antitrust Inst. Report on the Dig. Econ 26, 930 (2020) https://gaidigitalreport.com/2020/10/04/evaluating-the-case-for-ex-ante-regulation-of-digital-platforms.

[5] We often run the risk of condemning business practices and models we don’t fully understand. Sometimes, even the businesses that implement them don’t fully know or understand the impact of such practices. See Frank H. Easterbrook, Limits of Antitrust, 63 Tex. L. Rev. 1 (1984).

[6] Jean Tirole, Competition and the Industrial Challenge for the Digital Age, 6 (2020), available at https://www.tse-fr.eu/sites/default/files/TSE/documents/doc/by/tirole/competition_and_the_industrial_challenge_april_3_2020.pdf.

[7] Alba Ribera, La Regulación de los Ecosistemas Digitales Frente a las Relaciones Complejas se los Operadores Económicos, Centro Competencia (18 Oct. 2023), https://centrocompetencia.com/regulacion-ecosistemas-digitales-relaciones-complejas-operadores-economicos. Free translation of the following text in Spanish: “Uno de los mayores ejemplos de la dicotomía que se erige entre los distintos tipos de consecuencias que se pueden generar por la captura regulatoria de los ecosistemas digitales lo podemos encontrar en la reciente decisión de Meta, de no lanzar su nuevo servicio Threads en el Espacio Económico Europeo. En la medida en que su servicio podría interpretarse de forma que cayera dentro de la definición de un “servicio básico de plataforma” perteneciente a la categoría de redes sociales en línea” (listada por la LMD), Meta decidió abstenerse de entrar en el mercado europeo, por la carga desproporcionada que le supondría las exigentes obligaciones impuestas por la LMD. Cabe notar que Threads es aún un servicio entrante en el mercado de redes sociales en línea, en contraste con la posición predominante ocupada por la actual X (anteriormente conocida como Twitter). De esta forma, observamos que la categorización como servicio básico de plataforma unifica y elimina todos los matices que el propio juego de la libre competencia opera respecto de servicios entrantes en los mercados”.

[8] Lazar Radic, Digital-Market Regulation: One Size Does Not Fit All, Truth on the Market (17 Apr. 2023), https://truthonthemarket.com/2023/04/17/digital-market-regulation-one-size-does-not-fit-all. “While perhaps the EU—the world’s third largest economy—can afford to impose costly and burdensome regulation on digital companies because it has considerable leverage to ensure (with some, though as we have seen, by no means absolute, certainty) that they will not desert the European market, smaller economies that are unlikely to be seen by GAMA as essential markets are playing a different game”.

[9] The argument presented in the article is about South Africa, but it is relevant to Brazil. See Geoffrey Manne & Dirk Auer, Brussels Effect or Brussels Defect: Digital Regulation in Emerging Markets, Truth on the Market (20 Dec. 2022), https://truthonthemarket.com/2022/12/20/brussels-effect-or-brussels-defect-digital-regulation-in-emerging-markets.

[10] Adam Kovacevich, Europe’s Digital Market Act Fails Consumers, Chamber of Progress (4 Mar. 2024), https://medium.com/chamber-of-progress/europes-digital-market-act-fails-consumers-dcaf70cc548c.

[11] Id.

[12] Id.

[13] Jon Porter & David Pierce, Apple Is Bringing Sideloading and Alternate App Stores to the iPhone, The Verge (25 Jan. 2024), https://www.theverge.com/2024/1/25/24050200/apple-third-party-app-stores-allowed-iphone-ios-europe-digital-markets-act.

[14] See Apple, Complying with the Digital Markets Act (2024), available at https://developer.apple.com/security/complying-with-the-dma.pdf.

[15] Mirai, LinkedIn (Feb. 2024), https://www.linkedin.com/feed/update/urn:li:activity:7161330551709138945.

[16] See, The Evolving Concept of Market Power in the Digital Economy – Summaries of Contributions 6, OECD, (22 June 2022), available at https://one.oecd.org/document/DAF/COMP/WD(2022)63/en/pdf.

[17] Herbert Hovenkamp, Antitrust and Platform Monopoly. 130 Yale L. J. 1952, 1956 (2021).

[18] Brazil Should Boost Productivity And Infrastructure Investment To Drive Growth, OECD (18 Dec. 2023), https://www.oecd.org/newsroom/brazil-should-boost-productivity-and-infrastructure-investment-to-drive-growth.htm.

[19] See Giuseppe Colangelo, The Digital Markets Act and EU Antitrust Enforcement: Double & Triple Jeopardy, Int’l Ctr. For L. and Econ. (23 Mar. 2022), https://laweconcenter.org/resources/the-digital-markets-act-and-eu-antitrust-enforcement-double-triple-jeopardy.

[20] CADE, Mercados de Plataformas Digitais, SEPN 515 Conjunto D, Lote 4, Ed. Carlos Taurisano CEP: 70.770-504 – Brasília/DF, available at https://cdn.cade.gov.br/Portal/centrais-de-conteudo/publicacoes/estudos-economicos/cadernos-do-cade/Caderno_Plataformas-Digitais_Atualizado_29.08.pdf.

[21] See https://www.camara.leg.br/proposicoesWeb/fichadetramitacao?idProposicao=2337417.

[22] Giuseppe Colangelo & Oscar Borgogno, App Stores as Public Utilities?, Truth on the Market (19 Jan. 2022), https://truthonthemarket.com/2022/01/19/app-stores-as-public-utilities.

[23] See a list here https://en.wikipedia.org/wiki/Antitrust_cases_against_Google_by_the_European_Union.

[24] See https://www.gov.uk/cma-cases/amazon-online-retailer-investigation-into-anti-competitive-practices.

[25] See https://www.justice.gov/opa/pr/justice-department-sues-google-monopolizing-digital-advertising-technologies.

[26] See https://www.ftc.gov/legal-library/browse/cases-proceedings/191-0134-facebook-inc-ftc-v.

[27] See https://www.ftc.gov/news-events/news/press-releases/2023/09/ftc-sues-amazon-illegally-maintaining-monopoly-power.

[28] OECD, OECD Peer Reviews of Competition Law and Policy: Brazil 18 (2019), www.oecd.org/daf/competition/oecd-peer-reviews-of-competition-law-and-policy-brazil-2019.htm.

[29] Id. at 24.

[30] Colangelo, supra note 20.

[31] How National Competition Agencies Can Strengthen the DMA, European Competition Network (22 Jun. 2021), available at https://ec.europa.eu/competition/ecn/DMA_joint_EU_NCAs_paper_21.06.2021.pdf.

[32] For a detailed overview of CADE’s decisions in digital platforms and payments services, see CADE, Mercados de Plataformas Digitais, Cadernos de Cade (Aug. 2023), available at https://cdn.cade.gov.br/Portal/centrais-de-conteudo/publicacoes/estudos-economicos/cadernos-do-cade/Caderno_Plataformas-Digitais_Atualizado_29.08.pdf.

[33] See, e.g., Epic Games, Inc. v. Apple Inc. 20-cv-05640-YGR.

[34] Joseph Staats & Glen Biglaiser, Foreign Direct Investment in Latin America: The Importance of Judicial Strength and Rule of Law, Int’l Studies Quarterly, 56(1), 193–202 (2012).

[35] Richard A. Posner & William M. Landes, Market Power in Antitrust Cases, 94 Harv. L. Rev. 937 (1980), 947-950.

[36] See, e.g., Roundtable of Safe Harbours and Legal Presumptions in Competition Law – Note by Germany 5, OECD (Dec. 2017), available at https://one.oecd.org/document/DAF/COMP/WD(2017)88/en/pdf.

[37] The following is adapted from Geoffrey Manne, Against the Vertical Discrimination Presumption, Concurrences N° 2-2020, Art. N° 94267 (May 2020), https://www.concurrences.com/en/review/numeros/no-2-2020/editorial/foreword and our comments on the UK’s proposed Digital Markets, Competition and Consumers (“DMCC”) Bill: Dirk Auer, Matthew Lesh, & Lazar Radic, Digital Overload: How the Digital Markets, Competition and Consumers Bill’s sweeping new powers threaten Britain’s economy, 4 IEA Perspectives 16-21 (2023), available at https://iea.org.uk/wp-content/uploads/2023/09/Perspectives_4_Digital-overload_web.pdf.

[38] Hal Singer, How Big Tech Threatens Economic Liberty, The Am. Conserv. (7 May 2019), https://www.theamericanconservative.com/articles/how-big-tech-threatens-economic-liberty.

[39] Most of these theories, it must be noted, ignore the relevant and copious strategy literature on the complexity of platform dynamics. See, e.g., Jonathan M. Barnett, The Host’s Dilemma: Strategic Forfeiture in Platform Markets for Informational Goods, 124 Harv. L. Rev. 1861 (2011); David J. Teece, Profiting from Technological Innovation: Implications for Integration, Collaboration, Licensing and Public Policy, 15 Res. Pol’y 285 (1986); Andrei Hagiu & Kevin Boudreau, Platform Rules: Multi-Sided Platforms as Regulators, in Platforms, Markets and Innovation, (Andrei Gawer ed., 2009); Kevin Boudreau, Open Platform Strategies and Innovation: Granting Access vs. Devolving Control, 56 Mgmt. Sci. 1849 (2010).

[40] For examples of this literature and a brief discussion of its findings, see Manne, supra note 37.

[41] Brief for the International Center for law and Economics as Amicus Curiae, Epic Games v. Apple, No. 21-16506, 21-16695 (2022).

[42] See generally, Hagiu & Boudreau, supra note 30; Barnett, supra note 30.

[43] Barnett, id.

[44] See Lazar Radic & Geoffrey Manne, Amazon Italy’s Efficiency Offense. Truth on the Market (11 Jan. 2022), https://truthonthemarket.com/2022/01/11/amazon-italys-efficiency-offense.

[45] Introduced as Bill 294 (2022-23), currently HL Bill 12 (2023-24), Digital Markets, Competition and Consumers Bill, https://bills.parliament.uk/bills/3453.

[46] Joseph Farrell & Paul Klemperer, Coordination and Lock-In: Competition with Switching Costs and Network Effects, 3 Handbook of Indus. Org. 3, 1967-2072 (2007).

[47] Sam Bowman & Sam Dimitriu, Better Together: The Procompetitive Effects of Mergers In Tech 9-15 (2021) The Entrepreneurs Net. & The Int’l Ctr. for L. & Econ. (2021), available at https://laweconcenter.org/wp-content/uploads/2021/10/BetterTogether.pdf.

[48] Id. at 23.

[49] Clothilde Goujard, Google Forced to Postpone Bard Chatbot’s EU Launch over Privacy Concerns, Politico (13 Jun. 2023), https://www.politico.eu/article/google-postpone-bard-chatbot-eu-launch-privacy-concern.

[50] Makena Kelly, Here’s Why Threads Is Delayed in Europe, The Verge (10 Jul. 2023), https://www.theverge.com/23789754/threads-meta-twitter-eu-dma-digital-markets.

[51] Musk Considers Removing X Platform from Europe over EU Law, EurActiv (19 Oct. 2023), https://www.euractiv.com/section/platforms/news/musk-considers-removing-x-platform-from-europe-over-eu-law.

[52] The Future Is Bright for Latin American Startups, The Economist (13 Nov. 2023), https://www.economist.com/the-world-ahead/2023/11/13/the-future-is-bright-for-latin-american-startups.

[53] See Distrito, Panorama Tech América Latina (2023), available at https://static.poder360.com.br/2023/09/latam-report-1.pdf.

[54] David L. Kaserman & John W. Mayo, Competition and Asymmetric Regulation in Long-Distance Telecommunications: An Assessment of the Evidence, 4 CommLaw Conspectus 1, 4 (1996).

[55] See Mario Zúñiga, From Europe, with Love: Lessons in Regulatory Humility Following the DMA Implementation, Truth on the Market (22 Feb. 2024), https://truthonthemarket.com/2024/02/22/from-europe-with-love-lessons-in-regulatory-humility-following-the-dma-implementation.

[56] Kwon Soon-Wan & Yeom Hyun-a, South Korea Hits Pause on Anti-Monopoly Platform Act Targeting Google, Apple, The Chosun Daily (8 Feb. 2024), https://www.chosun.com/english/national-en/2024/02/08/A4U4X6TWEFFOXF7ITCS5K6SZN4.

[57] Jean Tirole, Competition and the Industrial Challenge for the Digital Age, Inst. Fiscal. Studies (2022), at 7, available at https://ifs.org.uk/inequality/wp-content/uploads/2022/03/Competition-and-the-industrial-challenge-IFS-Deaton-Review.pdf.

Regulatory Comments

Playing the Imitation Game in Digital Market Regulation – A Cautionary Analysis for Brazil

Introduction

On 11 October 2022, João Maia (Federal Deputy, Partido Liberal) proposed Bill 2768/22 (“Bill 2768” or “Bill”) on digital market regulation.[1] Bill 2768 is Brazil’s response to global trends toward the ex-ante regulation of digital platforms, and was at least partially inspired by the EU’s Digital Markets Act (“DMA”).[2] In our contribution to the public consultation on Bill 2768 (“Consultation”),[3] however, we argue that Brazil should be wary of importing untested regulation into its own, unique context. Rather than impulsively replicating the EU’s latest regulatory whim, Brazil should adopt a more methodical, evidence-based approach. Sound regulation requires that new rules be underpinned by a clear vision of the specific market failures they aim to address, as well as an understanding of the costs and potential unintended consequences. Unfortunately, Bill 2768 fails to meet these prerequisites. As we show in our response to the Consultation, it is far from clear that competition law in Brazil has failed to address issues in digital markets to the extent that would make sui generis digital regulation necessary. Indeed, it is unlikely that there are any truly “essential facilities” in the Brazilian digital market that would make access regulation necessary, or that “data” represents an unsurmountable barrier to entry. Other aspects of the Bill—such as the designation of Anatel as the relevant enforcer, the extremely low turnover thresholds used to ascertain gatekeeper status, and the lack of consideration given to consumer welfare as a relevant parameter in establishing harm or claiming an exemption—are also misguided. As it stands, therefore, Bill 2768 not only risks straining Brazil’s limited public resources, but also harming innovation, consumer prices, and the country’s thriving startup ecosystem.

Question 1

Identification of “essential facilities” in the universe of digital markets. Give examples of platform assets in the digital market operating in Brazil where at the same time: a) there are no digital platforms with substitute assets close to these assets b) these assets are difficult to duplicate efficiently at least close to the owning company c) without access to this asset, it would not be possible to operate in one or more markets, as it constitutes a fundamental input. Justify each of the examples given.

For the reasons we discuss below, it is unlikely that there are any examples of true “essential facilities” in digital markets in Brazil.

It important to define the meaning of “essential facility” precisely. The concept of essential facility is a state-of-the-art term used in competition law, which has been defined differently across jurisdictions. Still, the overarching idea of the essential facilities doctrines is that there are instances in which denial of access to a facility by an incumbent can distort competition. To demarcate between cases where denial of access constitutes a legitimate expression of competition on the merits from instances in which it indicates anticompetitive conduct, however, courts and competition authorities have devised a series of tests.

Thus, in the EU, the seminal Bronner case established that the essential facilities doctrine applies in Art. 102 TFEU cases when:

  1. The refusal is likely to eliminate all competition in the market on the part of the person requesting the service;
  2. The refusal is incapable of being objectively justified; and
  3. The service in itself is indispensable to carrying out that person’s business, i.e., there is no actual or potential substitute for the requested input.[4]

In addition, the facility must be genuinely “essential” to compete, not merely convenient.

Similarly, CADE has incorporated the essential facilities doctrine into Brazilian competition policy by imposing a duty to deal with competitors.[5]

The definition of “essential facilities” and, consequently, the breadth and limits of the essential facilities doctrine under Bill 2768/2022 (“Bill 2768”) should reflect tried and tested principles from competition law. There is no reason why essential facilities should be treated differently in “digital” markets, i.e., markets involving digital platforms, than in other markets. In this sense, we are concerned that the framing of Question 1 reveals an inconsistency that should be addressed before moving forward; namely, when a company’s assets are “difficult” to replicate efficiently, it is justified to force a competitor to grant access to those assets. This is misguided and could even produce the opposite of what Bill 2768 presumably aims to achieve.

As indicated above, the fundamental concept underpinning the essential facilities doctrine is that it applies to a product or service that is uneconomic or impossible to duplicate. Typically, this has applied to infrastructure, such as telecommunications or railways. For instance, expecting competitors to duplicate transport routes, such as railways, would be unrealistic — and economically wasteful. Instead, governments have often chosen to regulate these sectors as natural monopoly public utilities. Predominantly, this includes mandating access to all comers to such essential facilities under regulated prices and non-discriminatory conditions that make the activity of other companies viable and competitive—thus facilitating competition on a secondary market in situations in which competition might otherwise be impossible.

The government should ask itself to what extent this logic applies to so-called digital platforms, however.

Online search engines, for example, are not impossible or excessively difficult to replicate—nor is access to any one of them indispensable. Today, many search engines are on the market: Bing, Yandex, Ecosia, DuckDuckGo, Yahoo!, Google, Baidu, Ask.com, and Swisscows, among others.

More to the point, mere access to search engines isn’t really a problem. Rather, in most cases, those complaining about a search engine’s activity typically complain about access to the very first results, or they complain about the search engine prioritizing its own secondary-market services over those of the competitor. But this space is vanishingly scarce; there is no way for it to be allocated to all comers. Nor can it be allocated on neutral terms; by definition, a search engine must prioritize results.

Treating a search engine as an essential facility would generate problematic outcomes. For example, mandating non-discriminatory access to a search engine’s top results would be like requiring that a railroad offer service to all shippers at whatever time the shipper liked, regardless of railroad congestion, other shippers’ timetables, and the railroad’s optimization of its schedule. Not only would this be impossible, but it isn’t even required of traditional essential facilities.

Notably, while ranking high on a search engine results page is undoubtedly a boon for business, there are other ways of reaching customers. Indeed, as CADE ruled in a case concerning Google Shopping, even if the first page of Google’s result is relevant and important to ranked websites, it is not irreplaceable to the extent that there are other ways for consumers to find websites online. Google is not a mandatory intermediary for website access.[6] Moreover, as noted, search results pages must, by definition, discriminate in order to function correctly. Deeming them essential facilities would entail endless wrangling (and technically complicated determinations) to decide if the search engine’s prioritization decisions were “proper” or not.

Similarly, online retail platforms like Amazon and Mercado Livre are very successful and convenient, but sellers can use other methods to reach customers. For example, they can sell from brick-and-mortar stores or easily set up their own retail websites using myriad software-as-a-service (“SaaS”) providers to facilitate processing and fulfilling orders. Furthermore, the concurrent presence and success of Mercado Livre, B2W (Submarino.com, Americanas.com, Shoptime, Soubarato), Cnova (Extra.com.br, Casasbahia.com.br, Pontofrio.com), Magazine Louiza, and Amazon on the Brazilian market belies the claim that any one of these platforms is indispensable or irreplicable.[7]

Similar arguments can be made about the other digital platforms covered by Art. 6, paragraph II of Bill 2768. For example, WhatsApp may be by far the most popular interpersonal communication service in the country. Still, there are plenty of alternatives within easy (and mostly free) reach for Brazilian consumers, such as Messenger (62 million users), Telegram (30 million), Instagram (64 million), Viber (3 million), Hangouts (2 million), WeChat (1 million), Kik (500,000 users), and Line (1 million users). The sheer number of users of every app suggests that multi-homing is widespread.

In sum, while access to a particular digital platform may be convenient, especially if it is currently the most popular among users, it is highly questionable whether such access is essential. And, as Advocate General Jacobs noted in his opinion in Bronner, mere convenience does not create a right of access under the essential facilities doctrine.[8]

Recommendation: Bill 2768 should make it clear that the principles and requirements of “essential facilities” within the meaning of competition law apply in full to the duties and obligations contemplated in Art. 10 — and that the finding of an “essential facility” is a prerequisite to the imposition of any such duties or obligations.

Question 2

Is regulation necessary to guarantee access to the asset(s) of the example(s) from Question 1? What should such regulation guarantee so that access to the asset enables third parties to enter those digital markets?

Before considering whether regulation is necessary to guarantee access to assets of certain companies, the government should first consider whether guaranteeing any such access is necessary and legitimate. In our response to Question 1, we have argued that it is unlikely to be. If the government nevertheless decides to the contrary, the next logical question should be whether competition law, including the essential facilities doctrine itself, are sufficient to address any such alleged problems as are identified in Question 2.

Arguably, the best way to answer this question would be through the natural experiment of letting CADE bring cases against digital platforms — assuming it can construct a prima facie case in each instance — and seeing whether or not traditional competition law tools provide a viable solution and, if not, whether these tools can be sharpened by reforming Brazil’s competition law or whether new, comprehensive ex-ante regulation is needed.

By comparison, the EU experimented with EU competition law before passing the DMA. In fact, most if not all the prohibitions and obligations of the DMA stem from competition law cases.[9] The EU eventually decided that it preferred to pass blanket ex-ante rules against certain practices rather than having to litigate through competition law. Whether or not this was the right decision is up for debate, but one thing is certain: The EU tried its competition toolkit extensively against digital platforms before learning from the outcomes and deciding it needed to be complemented with a new set of broader, enforcer-friendly, bright-line rules.

By contrast, Brazil has initiated only a handful of antitrust cases against digital platforms. According to numbers published by CADE,[10] CADE has reviewed 233 merger cases related to digital platform markets between 1995 and 2023 and, regarding unilateral conduct (monopolization cases)—those most relevant for the discussion on Bill 2768—opened 23 conduct cases. Regarding those 23 cases, 9 are still being investigated, 11 were dismissed, and only 3 were settled by the signature of a Cease-and-Desist Agreement (TCC). In this sense, only 3 cases (TCCs) out of 23 could be said to have been, to some extent, “condemned”. It is questionable whether these cases provide the sort of evidence of the existence of intrinsic competition problems in the eight service markets identified in Art. 6, paragraph II of Bill 2768 that would justify new, “sector-specific” access rules.[11]

In fact, the recent entry of companies into many of those markets suggests that the opposite is closer to the truth. There are numerous examples of entry in a variety of digital services, including the likes of TikTok, Shein, Shopee, and Daki, to name just a few.

Serious problems can arise when products that are not essential facilities are treated as such, of which we name two.

First, over-extending the essential facilities doctrine can encourage free riding.[12] This is not what the essential facilities doctrine, properly understood, aims to achieve, nor what it should be used for:

Consequently, the [European Court of Justice] implies that the [essential facilities doctrine] is not designed for the convenience of undertakings to free ride dominant undertakings, but only for the necessity of survival on the secondary market in situations where there are no effective substitutes.[13]

Why develop a competing online retail platform when access to Mercado Livre or Amazon is guaranteed by law? Free riding can discourage investments from third companies and targeted “gatekeepers,” especially in the development and improvement of competing business platforms (or alternative business models that are not exact replicas of existing platforms). Contrary to the stated goals of Bill 2768, this could further entrench incumbents, as the ability to free ride on others’ investments incentivizes companies to pivot away from contesting incumbents’ core markets to acting as complementors in those markets.

Indeed, a serious—and underappreciated—concern is the cost of excessive risk-taking by companies that can rely on regulatory protections to ensure continued viability even when it is not warranted.

Businesses must develop their business models and operate their businesses in recognition of the risk involved. A complementor that makes itself dependent upon a platform for distribution of its content does take a risk. Although it may benefit from greater access to users, it places itself at the mercy of the other — or at least faces great difficulty (and great cost) adapting to unanticipated platform changes over which it has no control. This is a species of the “asset specificity” problem that animates much of the Transaction Cost Economics literature.[14]

But the risk may be a calculated one. Firms occupy specialized positions in supply chains throughout the economy, and they make risky, asset-specific investments all the time. In most circumstances, firms use contracts to allocate both risk and responsibility in a way that makes the relationship viable. When it is too difficult to manage risk by contract, firms may vertically integrate (thus aligning their incentives) or simply go their separate ways.

The fact that a platform creates an opportunity for complementors to rely upon it does not mean that a firm’s decision to do so — and to do so without a viable contingency plan — makes good business sense. In the case of the comparison-shopping sites at issue in the EU’s Google Shopping decision,[15] for example, it was entirely predictable that Google’s algorithm would evolve. It was also entirely predictable that it would evolve in ways that could diminish or even eviscerate their traffic. As one online marketing expert put it, “counting on search engine traffic as your primary traffic source is a bit foolish, to say the least.”[16]

Providing guarantees (which is what a “gatekeeper” access rule accomplishes) in this situation creates a significant problem: Protecting complementors from the inherent risk in a business model in which they are entirely dependent upon another company with which they have no contractual relationship is at least as likely to encourage excessive risk taking and inefficient over-investment as it is to ensure that investment and innovation are not too low.[17]

Second, granting companies and competitors access to goods or services except in the very few and narrow cases[18] in which access to such goods and services is truly essential to sustain competition on the market sends platforms the wrong message. The message is that, after being encouraged to compete, successful companies will be punished for thriving. This is contrary to the spirit of competition law and the principle of free competition, which Bill 2768 should be careful not to eviscerate. As the great U.S. jurist Learned Hand observed in U.S. v. Aluminum Co. of America: “The successful competitor, having been urged to compete, must not be turned upon when he wins.”[19]

Furthermore, forcing companies to do business with third parties is at odds with the principle that, unless a violation of antitrust law can be ascertained, companies should be free to do business with whomever they choose.[20] Indeed, it is a cornerstone of the free market economy that “the antitrust laws [do] not impose a duty on [firms] . . . to assist [competitors] . . . to ‘survive or expand.’”[21]

Question 3

Describe cases in digital markets where there is at least one other company with substitute assets close to these assets of the main company, but none of the digital platforms that hold the asset provide access to it. In other words, even if there is more than one asset in the market, there is still a problem of accessing the asset. How could Bill 2768/2022, especially its article 10, be improved to improve access to essential supplies?

We are aware of no such cases.

Question 4

Describe cases in which the ownership of data in digital markets creates a barrier to entry that makes it very difficult or even impossible for incumbent digital platforms to enter the market. How could Bill 2768/2022 mitigate this problem, reducing the barrier to entry represented by access to data?

The extent to which data represents a barrier to entry is, in our opinion, vastly overstated. Bill 2768 should not assume that data is a barrier to entry and should assess claims to the contrary critically — especially if it intends to build a new, comprehensive regulatory regime on that assumption.[22]

In a nutshell, theories of “data as a barrier to entry” make the assertion that online data can amount to a barrier to entry, insulating incumbent services from competition and ensuring that only the largest providers thrive. This data barrier to entry, it is alleged, can then allow firms with monopoly power to harm consumers, either directly through “bad acts” like price discrimination, or indirectly by raising the costs of advertising, which then get passed on to consumers.[23]

However, the notion of data as an antitrust-relevant barrier to entry is more supposition than reality.

First, despite the rush to embrace “digital platform exceptionalism,” data is useful to all industries. “Data” is not some new phenomenon particular to online companies. It bears repeating that offline retailers also receive substantial benefit from, and greatly benefit consumers by, knowing more about what consumers want and when they want it. Through devices like coupons, membership discounts and loyalty cards (to say nothing of targeted mailing lists and the age-old practice of data mining check-out receipts), brick-and-mortar retailers can track purchase data and better serve consumers. Not only do consumers receive better deals for using them, but retailers know what products to stock and advertise and when and on what products to run sales.[24]

Of course, there are a host of other uses for data, as well, including security, fraud prevention, product optimization, risk reduction to the insured, knowing what content is most interesting to readers, etc. The importance of data stretches far beyond the online world, and far beyond mere retail uses more generally. To describe any one company as having a monopoly on data is therefore mistaken.

Second, it is not the amount of data that leads to success, but how that data is used to craft attractive products or services for users. In other words: information is important to companies because of the value that can be drawn from it, not for the inherent value of the data itself. Thus, many companies that accumulated vast amounts of data were subsequently unable to turn that data into a competitive advantage to succeed on the market. For instance, Orkut, AOL, Friendster, Myspace, Yahoo! and Flicker — to name a few — all gained immense popularity and access to significant amounts of data, but failed to retain their users because their products were ultimately lackluster.

Data is not only less important than what can be drawn from it, but data is also less important than the underlying product it informs. For instance, Snapchat created a challenger to Facebook so successfully (and in such a short time) that Facebook attempted to buy it for $3 billion (Google offered $4 billion). But Facebook’s interest in Snapchat was not about its data. Instead, Snapchat was valuable — and a competitive challenge to Facebook — because it cleverly incorporated the (apparently novel) insight that many people wanted to share information in a more private way.

Relatedly, Twitter, Instagram, LinkedIn, Yelp, TikTok (and Facebook itself) all started with little (or no) data but nevertheless found success. Meanwhile, despite its supposed data advantages, Google’s attempt at social networking, Google+, never caught up to Facebook in terms of popularity to users (and thus not to advertisers either) and shut down in 2019.

At the same, it is not the case that the alleged data giants — the ones supposedly insulating themselves behind data barriers to entry — actually have the type of data most relevant to startups anyway. As Andres Lerner has argued, if you wanted to start a travel business, the data from Kayak or Priceline (or local Decolar.com) would be far more relevant.[25] Or if you wanted to start a ride-sharing business, data from cab companies would be more useful than the broad, market-cross-cutting profiles Google and Facebook have. Consider companies like Uber and 99 that had no customer data when they began to challenge established cab companies that did possess such data. If data were really so significant, they could never have competed successfully. But Uber and 99 have been able to effectively compete because they built products that users wanted to use — they came up with an idea for a better mousetrap. The data they have accrued came after they innovated, entered the market, and mounted their successful challenges — not before.

Complaints about data facilitating unassailable competitive advantages thus have it exactly backwards. Companies need to innovate to attract consumer data, otherwise consumers will switch to competitors (including both new entrants and established incumbents). As a result, the desire to make use of more and better data drives competitive innovation, with manifestly impressive results: The continued explosion of new products, services and other apps is evidence that data is not a bottleneck to competition but a spur to drive it.

Third, competition online is (metaphorically—but not by much) one click or thumb swipe away. That is, barriers to entry and switching costs are low. Indeed, despite the alleged prevalence of data barriers to entry, competition online continues to soar, with newcomers constantly emerging and triumphing. The entry of online retailers and other digital platforms in Brazil is a case in point (See Questions 1 and 2). This suggests that the barriers to entry are not so high as to prevent robust competition.

Again, despite the supposed data-based monopolies of Facebook, Google, Amazon, Apple, and others, there exist powerful competitors in the markets they compete in:

  • If consumers want to make a purchase, they are more likely to do their research on Mercado Livre or Amazon than Google or Facebook, even with Facebook’s launch of Facebook Marketplace.
  • Google flight search has failed to seriously challenge — let alone displace — its competitors, as critics feared. Decolar.com, Kayak, Expedia, and the like remain the most prominent travel search sites — despite Google having literally purchased ITA’s trove of flight data and data-processing acumen.
  • ChatGPT, one of the most highly valued startups today, is now a serious challenger to traditional search engines.
  • TikTok has rapidly risen to challenge popular social media apps like Instagram and Facebook.

Even assuming for the sake of argument that data creates a barrier to entry, there is little evidence that consumers cannot easily switch to a competitor. While there are sometimes network effects online, like with social networking, history still shows that people will switch. Myspace was considered a dominant network until it made a series of bad business decisions, and users ended up on Facebook instead; Orkut had a similar fate. Similarly, Internet users can and do use Bing, DuckDuckGo, Yahoo!, and a plethora of more specialized search engines on top of and instead of Google, and increasingly also turn to other ways to find information online (such as searching for a brand or restaurant directly on Instagram or TikTok, or asking ChatGPT a question). In fact, Google itself was once an upstart new entrant that replaced once-household names like Yahoo! and AltaVista.

Fourth, access to data is not exclusive. Data is not like oil. If, for example, Petrobras drills and extracts oil from the ground, that oil is no longer available to other companies. Data is not finite in the same way. Google knowing someone’s birthday doesn’t limit the ability of Facebook to know the same person’s birthday, as well. While databases may be proprietary, the underlying data is not. And what matters more than the data itself is how well it is analyzed (see first point). Because data is not exclusive like oil, any attempt to force the sharing of data in an attempt to help competitors creates a free-riding problem. Why go through the work of collecting valuable data on customers to learn what they want so you can better serve them when regulation mandates that Apple effectively give you the data?

In conclusion, the problem with granting competitors access to data is that data is a consequence of competition, not a prerequisite for it. Thus, rather than enhancing their ability to compete, “gifting” competitors the fruits of others’ successful attempts at competition risks destroying both groups’ incentives to design attractive products to accrue such data in the first place. By reversing the competition-data causality, Bill 2768 ultimately risks inadvertently stifling the same competition that it purportedly seeks to bolster.

Question 5

Cite cases in which a company in the digital market in Brazil used third-party data because of its characteristic as an essential input provider, harming the third party competitively?

We are not aware of any such cases.

However, the framing of this question should be clear about what is meant by “harming a third party competitively.” The use of third-party data is a key driver of competition. Even if competitors are “harmed” as a result, they are harmed only insofar as they do not match the price or quality offered by the platform.

Competition is, to a large extent, driven by the use of knowledge of rivals’ products — including their price, quality, quantity, and how they are sold and presented to consumers. In fact, the model of perfect competition largely assumes that all the products on the market are homogeneous (even if this is rarely borne out in practice). The use of third-party data to match and beat competitor’s offerings can be seen as a modern expression of this dynamic. Indeed, as we have written before:

We cannot assume that something is bad for competition just because it is bad for certain competitors. A lot of unambiguously procompetitive behavior, like cutting prices, also tends to make life difficult for competitors. The same is true when a digital platform provides a service that is better than alternatives provided by the site’s third-party sellers. […].

There’s no doubt this is unpleasant for merchants that have to compete with these offerings. But it is also no different from having to compete with more efficient rivals who have lower costs or better insight into consumer demand. Copying products and seeking ways to offer them with better features or at a lower price, which critics of self-preferencing highlight as a particular concern, has always been a fundamental part of market competition—indeed, it is the primary way competition occurs in most markets.[26]

Any per se prohibition of the use of third-party data would preclude digital platforms from using data to improve their product offering in ways that could benefit consumers.

Recommendation: Assuming that competition law and IP law are not up to the task of curbing abuses of third-party data, Bill 2768 should ensure that such prohibitions are tailor-made to cover conduct that has no other rational explanation other than seeking to exclude a competitor. It should not capture uses of third-party data that drives competition and benefit consumers, even if this results in the exit of a competitor from the market.

Question 6

Describe cases in which a difficulty in interoperability with a company’s systems makes it very difficult or impossible to enter one or more digital markets. How could Bill 2768/2022 mitigate this problem, reducing the barrier to entry represented by lack of interoperability?

We are not aware of any such cases.

However, when considering potential interoperability mandates, the government should be aware of the risks and trade-offs that come with such measures, especially in terms of safety, security, and privacy (see Question 8 for a more detailed discussion).

Question 7

The European Digital Market Act (DMA) chose to implement absolute prohibitions (per se) on some conduct in digital markets, such as self-preferencing, among others. Bill 2768/2022, on the other hand, chose not to do any prohibited conduct ex ante. Should there be one or more conducts with absolute prohibitions (per se) in Bill 2768/2022? Why? Please propose wording, explaining where in the bill it would be located?

No, there should not be absolute prohibitions on these sorts of conduct, especially without substantive experience suggesting that such conduct is always or almost always harmful and largely irredeemable (in this item, we answer the question in general terms; please see Question 8 for a discussion of why particular conduct (e.g., self-preferencing) should not be prohibited).

Regardless of the harm to the business of the targeted companies, overly broad prohibitions (or mandates) can harm consumers by chilling procompetitive conduct and discouraging innovation and investment, especially when no showing of harm is required and the law is not amenable to efficiencies arguments (like in the case of the DMA). The fact that such prohibitions apply to vastly different markets (for example, cloud services have little to do with search engines) regardless of context is also a sure sign that they are overly broad and poorly designed.

In fact, there are indications that where the DMA has been introduced, it has delayed the advance of technology. For example, Google’s “Bard” AI was rolled out later in Europe due to the EU’s uncertain and strict AI And privacy regulations.[27] Similarly, Meta’s “Threads” is not available in the EU precisely due to the constraints imposed by the DMA and the EU’s data privacy regulation (GDPR).[28] Elon Musk, X’s (formerly Twitter) CEO, has indicated that the cost of complying with EU digital regulations, such as the DSA, could prompt it to exit the European market.[29] Recently, Microsoft delayed the European rollout of its new AI, “Copilot,” because of the DMA.[30]

Apart from capturing pro-competitive conduct that benefits consumers and freezing technology in time (which would ultimately exacerbate the technological chasm between more and less advanced countries), rigid per se rules could also capture many budding companies that cannot be considered “gatekeepers” by any stretch of the imagination. This risk is especially real in the case of Brazil given the extremely low threshold for what constitutes a “gatekeeper” enshrined in Article 9 (R$70 million, or approximately USD$14 million). Thus, many Brazilian unicorns could, either immediately or in the near future, be captured by the new, restrictive rules, which could stunt their growth and chill innovative products. Ultimately, this could imperil Brazil’s current status as “[Latin America’s] most established startup hub” and cast a shadow on what The Economist has referred to as the bright future of Latin American startups.[31]

The list of harmed companies could include some of Brazil’s most promising unicorns, such as:

  • 99 (transport app)
  • Neon Bank (digital bank)
  • C6 Bank (digital bank)
  • CloudWalk (payment method)
  • Creditas (lending platform)
  • Ebanx (payment solutions)
  • Facily (social commerce)
  • com (road freight)
  • Gympass (gym aggregator and corporate benefits)
  • Hotmart (platform for selling digital products)
  • iFood (delivery)
  • Loft (real estate platform)
  • Loggi (logistics)
  • Mercado Bitcoin (cryptocurrency broker)
  • Merama (e-commerce)
  • Madeira Madeira (home and decoration products store)
  • Nubank (bank)
  • Olist (e-commerce)
  • Wildlife Studios (game developer)
  • Quinto Andar (rental platform)
  • Vtex (technology and digital commerce)
  • Unico (biometrics)
  • Dock (infrastructure)
  • Pismo (technology for payments and banking services)[32]

Question 8

Would there be behaviors in digital markets that would have a high potential to entail competitive problems, but which can be justified as generating greater efficiency for companies, transactions, and markets? Give examples of these behaviors? How should these behaviors be treated in Bill 2768/2022? In particular, a “reversal of the burden of proof” would be appropriate, in which such conduct would presumably be anti-competitive, but would it be appropriate to authorize a defense of digital platforms based on these efficiencies? Should these behaviors be considered not prohibited per se, but as a “reversal of the burden of proof” in Bill 2768/2022?

There are certain types of behavior in digital markets that have been targeted by ex-ante regulations but which are nevertheless capable of, or even central to, delivering significant procompetitive benefits. It would be unjustified and harmful to subject such conduct to per se prohibitions or to reverse the burden of proof. Instead, this type of conduct should be approached neutrally, and examined on a case-by-case basis.[33]

A.       Self-Preferencing

Self-preferencing occurs when a company gives preferential treatment to one of its own products (presumably, this type of behavior could be caught by Art. 10, paragraph II of Bill 2768). An example would be Google displaying its shopping service at the top of search results ahead of alternative shopping services. Critics of this practice argue that it puts dominant firms in competition with other firms that depend on their services, and this allows companies to leverage their power in one market to gain a foothold in an adjacent market, thus expanding and consolidating their dominance. However, this behavior can also be procompetitive and beneficial to users.

Over the past several years, a growing number of critics have argued that big tech platforms harm competition by favoring their own content over that of their complementors. Over time, this argument against self-preferencing has become one of the most prominent among those seeking to impose novel regulatory restrictions on these platforms.

According to this line of argument, complementors would be “at the mercy” of tech platforms. By discriminating in favor of their own content and against independent “edge providers,” tech platforms cause “the rewards for edge innovation [to be] dampened by runaway appropriation,” leading to “dismal” prospects “for independents in the internet economy—and edge innovation generally.”[34]

The problem, however, is that the claims of presumptive harm from self-preferencing (also known as “vertical discrimination”) are based neither on sound economics nor evidence.

The notion that platform entry into competition with edge providers is harmful to innovation is entirely speculative. Moreover, it is flatly contrary to a range of studies showing that the opposite is likely true. In reality, platform competition is more complicated than simple theories of vertical discrimination would have it,[35] and the literature establishes that there is certainly no basis for a presumption of harm.[36]

The notion that platforms should be forced to allow complementors to compete on their own terms, free of constraints or competition from platforms is a species of the idea that platforms are most socially valuable when they are most “open.” But mandating openness is not without costs, most importantly in terms of the effective operation of the platform and its own incentives for innovation.

“Open” and “closed” platforms are different ways of supplying similar services, and there is scope for competition between these alternative approaches. By prohibiting self-preferencing, a regulator might therefore close down competition to the detriment of consumers. As we have noted elsewhere:

For Apple (and its users), the touchstone of a good platform is not ‘openness,’ but carefully curated selection and security, understood broadly as encompassing the removal of objectionable content, protection of privacy, and protection from ‘social engineering’ and the like. By contrast, Android’s bet is on the open platform model, which sacrifices some degree of security for the greater variety and customization associated with more open distribution. These are legitimate differences in product design and business philosophy.[37]

Moreover, it is important to note that the appropriation of edge innovation and its incorporation into the platform (a commonly decried form of platform self-preferencing) greatly enhances the innovation’s value by sharing it more broadly, ensuring its coherence with the platform, incentivizing optimal marketing and promotion, and the like. Smartphones are now a collection of many features that used to be offered separately, such as phones, calculators, cameras and gaming consoles, and it is clear that the incorporation of these features in a single device has brought immense benefits to consumers and society as a whole. In other words, even if there is a cost in terms of reduced edge innovation, the immediate consumer welfare gains from platform appropriation may well outweigh those (speculative) losses.

Crucially, platforms have an incentive to optimize openness (and to assure complementors of sufficient returns on their platform-specific investments). This does not mean that maximum openness is optimal, however; in fact, typically a well-managed platform will exert top-down control where doing so is most important, and openness where control is least meaningful.[38]

But this means that it is impossible to know whether any particular platform constraint (including self-prioritization) on edge provider conduct is deleterious, and similarly whether any move from more to less openness (or the reverse) is harmful.

This is the situation that leads to the indeterminate and complex structure of platform enterprises. Consider the big online platforms like Google and Facebook, for example. These entities elicit participation from users and complementors by making access to their platforms freely available for a wide range of uses, exerting control over access only in limited ways to ensure high quality and performance. At the same time, however, these platform operators also offer proprietary services in competition with complementors or offer portions of the platform for sale or use only under more restrictive terms that facilitate a financial return to the platform.

The key is understanding that, while constraints on complementors’ access and use may look restrictive compared to an imaginary world without any restrictions, in such a world the platform would not be built in the first place. Moreover, compared to the other extreme — full appropriation (under which circumstances the platform also would not be built…) — such constraints are relatively minor and represent far less than full appropriation of value or restriction on access. As Jonathan Barnett aptly sums it up:

The [platform] therefore faces a basic trade-off. On the one hand, it must forfeit control over a portion of the platform in order to elicit user adoption. On the other hand, it must exert control over some other portion of the platform, or some set of complementary goods or services, in order to accrue revenues to cover development and maintenance costs (and, in the case of a for-profit entity, in order to capture any remaining profits).[39]

For instance, companies may choose to favor their own products or services because they are better able to guarantee their quality or quick delivery.[40] Mercado Livre, for instance, may be better placed to ensure that products provided by the ‘Mercado Envios logistics service are delivered in a timely manner compared to other services. Consumers may benefit from self-preferencing in other ways, too. If, for instance, Google were prevented from prioritizing Google Maps or YouTube videos in its search queries, it could be harder for users to find optimal and relevant results. If Amazon is prohibited from preferencing its own line of products on the marketplace, it may instead opt not to sell competitors’ products at all.

The power to prohibit the requiring or incentivizing of customers of one product to use another would enable the limiting or prevention of self-preferencing and other similar behavior. Granted, traditional competition law has sought to restrict the ‘bundling’ of products by requiring them to be purchased together, but to prohibit incentivization as well goes much further.

B.        Interoperability

Another mot du jour is interoperability, which might fall under Art. 10, paragraph IV of Bill 2768. In the context of digital ex ante regulation, ‘interoperability’ means that covered companies could be forced to ensure that their products integrate with those of other firms. For example, requiring a social network to be open to integration with other services and apps, a mobile operating system to be open to third-party app stores, or a messaging service to be compatible with other messaging services. Without regulation, firms may or may not choose to make their software interoperable. However, Europe’s DMA and the UK’s prospective Digital Markets, Competition and Consumer Bill (“DMCC”),[41] will allow authorities to require it. Another example is data ‘portability,’ which allows customers to move their data from one supplier to another, in the same way that a telephone number can be kept when one changes network.

The usual argument is that the power to require interoperability might be necessary to ‘overcome network effects and barriers to entry/expansion.’ However, the Brazilian government should not overlook that this solution comes with costs to consumer choice, in particular by raising difficulties with security and privacy, as well as having questionable benefits for competition. In fact, it is not as though competition disappears when customers cannot switch as easily as they turn on a light. Companies compete upfront to attract such consumers through tactics like penetration pricing, introductory offers, and price wars.[42]

A closed system, that is, one with comparatively limited interoperability, can help limit security and privacy risks. This can encourage use of the platform and enhance the user experience. For example, by remaining relatively closed and curated, Apple’s App Store gives users the assurance that apps will meet a certain standard of security and trustworthiness. Thus, ‘open’ and ‘closed’ ecosystems are not synonymous with ‘good’ and ‘bad,’ and instead represent two different product design philosophies, either of which might be preferred by consumers. By forcing companies to operate ‘open’ platforms, interoperability obligations could thus undermine this kind of inter-brand competition and override consumer choices.

Apart from potentially damaging user experience, it is also doubtful whether some of the interoperability mandates, such as those between social media or messaging services, can achieve their stated objective of lowering barriers to entry and promoting greater competition. Consumers are not necessarily more likely to switch platforms simply because they are interoperable. In fact, there is an argument to be made that making messaging apps interoperable in fact reduces the incentive to download competing apps, as users can already interact with competitors’ apps from the incumbent messaging app.

C.       Choice Screens

Some ex-ante rules seek to address firms’ ability to influence user choice of apps through pre-installation, defaults, and the design of app stores (this could fall under Art. 10, paragraph II of Bill 2768). This has sometimes resulted in the imposition of requirements to provide users with ‘choice screens,’ for instance requiring users to choose which search engine or mapping service is installed on their phone. In this sense, it is important to understand the trade-offs at play here: choice screens may facilitate competition, but they may do so at the expense of the user experience, in terms of the time taken to make such choices. There is a risk, without evidence of consumer demand for ‘choice screens,’ that such rules impose the legislator’s preference for greater optionality over what is most convenient for users. Unless there is explicit public demand in Brazil for such measures, it would be ill-advised to implement a choice screen obligation.

D.       Size and Market Power

In general, many of the prohibitions and obligations contemplated in ex-ante rules target incumbents’ size, scalability, and “strategic significance.”

It is widely claimed that because of network effects, digital markets are prone to ‘tipping’ whereby when one producer gains a sufficient share of the market, it quickly becomes a complete or near-complete monopolist. Although they may begin as very competitive, these markets therefore exhibit a marked ‘winner takes all’ characteristic. Ex ante rules often try to avert or revert this outcome by targeting a company’s size, or by targeting companies with market power.

However, there are many investments and innovations that will – if permitted – benefit consumers, either immediately or in the longer term, but which may have some effect on enhancing market power, a companies’ size, or its strategic significance. Indeed, improving a firm’s products and thereby increasing its sales will often lead to increased market power.

Accordingly, targeting “size” or conduct which bolsters market power, without any accompanying evidence of harm, creates a serious danger of a very broad inhibition of research, innovation, and investment – all to the detriment of consumers. Insofar as such rules prevent the growth and development of incumbent firms, they may also harm competition, since it may well be these firms that – if permitted – are most likely to challenge the market power of other firms in other, adjacent markets. The cases of Disney, Apple, Amazon and Globo’s launch of video-on-demand services to compete with Netflix, and Meta’s introduction of ‘Threads’ as a challenge to Twitter (or ‘X’), appear to be an example. Here, per se rules that have the aim of prohibiting the bolstering of size or market power in one area may in fact prevent entry by one firm into a market dominated by another. In that case, policymaker action protects monopoly power. Therefore, a much subtler approach to regulation is required.

Bill 2768’s reference to Tim Wu’s The Curse of Bigness, which notoriously adopts a reductive “big is bad” ethos, suggests that it could be making a similarly flawed assumption.[43]

E.        Conclusion

We do not think it is appropriate to reverse the burden of proof in any instances in the context of digital platforms. Without substantive evidence that such conduct causes widespread harm to a well-defined public interest (e.g., similar to cartels in the context of antitrust law), there is no justification for a reversal of the burden of proof, and any such reversal of the burden of proof risks undermining consumer benefits, innovation, and discouraging investment in the Brazilian economy for a justified fear that procompetitive conduct will result in fines and remedies. By the same token, we do think that where the appointed enforcer makes a prima facie case of harm, whether in the context of antitrust law or ex-ante digital regulation, it should also be prepared to address arguments related to efficiencies.

Question 9

Is there a need for a regulator? If so, which regulator would be better able to implement the regulation provided for in Bill 2768/2022? Anatel, CADE, ANPD, another existing or new regulator? Justify.

Despite the lack of clarity concerning the law’s goals and objectives, the rules proposed by Bill 2768 appear to be competition based, at least insofar as they seek to bolster free competition, consumer protection, and tackle “abuse of economic power” (Art. 4). Therefore, the agency best positioned to enforce it would, in principle, be CADE (the goals of Act 12.529/11, the Brazilian Competition Law, overlap significantly with those under Bill 2768). Conversely, there is a palpable risk that, in discharging its duties under Bill 2768, Anatel would transpose the logic and principles of telecommunications regulation to “digital” markets, which is misguided as these are two very different things.

Not only are “digital” markets substantively different from telecommunications markets, but there is really no such thing as a clearly demarcated concept of “digital market.” For example, the digital platforms described in Art. 6, paragraph II of Bill 2768 are not homogenous, and cover a range of different business models. In addition, virtually every market today incorporates “digital” elements, such as data. Indeed, companies operating in sectors as divergent as retail, insurance, healthcare, pharma, production, and distribution have all been “digitalized.” Thus, an enforcer with a nuanced understanding of the dynamics of digitalization and, especially, the idiosyncrasies of digital platforms as two-sided markets, appears necessary. While CADE arguably lacks substantive experience with digital platforms, it is better placed to enforce Bill 2768 than Anatel because of its deep experience with the enforcement of competition policy.

Question 10

Do you think that there could be any risk of bis in idem between the regulator and the competition authority with the same conduct being analyzed by both?

Based on the EU experience, there is a risk of double jeopardy at the intersection of traditional competition law and ex-ante digital regulation.

By way of comparison, and as Giuseppe Colangelo has written, the DMA is grounded explicitly on the notion that competition law alone is insufficient to effectively address the challenges and systemic problems posed by the digital platform economy.[44] Indeed, the scope of antitrust is limited to certain instances of market power (e.g., dominance on specific markets) and of anti-competitive behavior. Further, its enforcement occurs ex post and requires extensive investigation on a case-by-case basis of what are often very complex sets of facts and may not effectively address the challenges to well-functioning markets posed by the conduct of gatekeepers, who are not necessarily dominant in competition-law terms — or so its proponents argue. As a result, regimes like the DMA invoke regulatory intervention to complement traditional antitrust rules by introducing a set of ex ante obligations for online platforms designated as gatekeepers. This also allows enforcers to dispense with the laborious process of defining relevant markets, proving dominance, and measuring market effects.

However, despite claims that the DMA is not an instrument of competition law, and thus would not affect how antitrust rules apply in digital markets, the regime does appear to blur the line between regulation and antitrust by mixing their respective features and goals. Indeed, the DMA shares the same aims and protects the same legal interests as competition law.

Further, its list of prohibitions is effectively a synopsis of past and ongoing antitrust cases, such as Google Shopping (Case T-612/17), Apple (AT.40437) and Amazon (Cases AT.40462 and AT.40703).[45] Acknowledging the continuum between competition law and the DMA, the European Competition Network (ECN) and some EU member states (self-anointed “friends of an effective DMA”) initially proposed empowering national competition authorities (NCAs) to enforce DMA obligations.[46]

Similarly, the prohibitions and obligations contemplated in Art. 10 of Bill 2768 could, in theory, all be imposed by CADE. In fact, CADE has investigated, and is still investigating, several large companies which would (likely) fall within the purview of Bill 2768, such as Google, Apple, Meta, (still under investigation) Booking.com, Decolar.com, Expedia and iFood (settled through case-and-desist agreements), and Uber (all investigations closed without penalties; following an economic study, CADE found that Uber’s entry benefitted consumers[47]). CADE’s past and current investigations against these companies already covered conducts that are targeted by the DMA and Bill 2768, such as refusal to deal, self-preferencing, and discrimination.[48] Existing competition law under Act 12.529/11, the Brazilian Competition Law, thus clearly already captures the sort of conduct which is included under Bill 2768. In addition, the requirement to use data “adequately” is likely covered by data protection regulation in Brazil (Lei Geral de Proteção de Dados, LGPD, Lei Federal Nº 13.709/2018).

The difference between the two regimes is that, while general antitrust law requires a showing of harm (even if potential) and exempts conduct with net benefits to consumers, Bill 2768 in principle does not. The only limiting principle to the prohibitions and obligations contained in Art. 10 Art. 11 (III) is the principle of proportionality — which is a general principle of constitutional law and should, in any case, apply regardless of Bill 2768. Thus, the only limiting principle of Art. 10, framed broadly, is redundant.

There is one additional complication. Bill 2768 pursues many (though not all) of the same objectives as Act 12.529/11. Insofar as these objectives are shared, it could lead to double jeopardy i.e., the same conduct being punished twice under slightly different regimes. But it could also produce contradictory results because, as pointed out above, the objectives pursued by the two bills are not identical. Act 12.529/11 is guided by the goals of “free competition, freedom of initiative, social role of property, consumer protection and prevention of the abuse of economic power” (Art. 1). To these objectives, Bill 2768 adds “reduction of regional and social inequalities,” and “increase of social participation in matters of public interest.” While it is true that these principles derive from Art. 170 of the Brazilian Constitution (“economic order”), the mismatch between the goals of Act 12.529/11 and Bill 2768 and their enforcing authorities is sufficient as to lead to situations in which conduct that is allowed or even encouraged under Act 12.529/11 is prohibited under Bill 2768. For instance, procompetitive conduct by a covered platform could nevertheless exacerbate “regional or social inequalities” because it invests heavily in one region, but not others. In a similar vein, safety, privacy, and security measures implemented by, say, an operator of an App Store, which would typically be considered beneficial for consumers under antitrust law,[49] could feasibly lead to less participation in discussions of public interest (assuming one could easily define the meaning of such a term).

Accordingly, Bill 2768 could fragment Brazil´s legal framework due to overlaps with competition law, stifle procompetitive conduct, and lead to contradictory results. This, in turn, is likely to impact legal certainty and the rule of law in Brazil, which could adversely affect Foreign Direct Investment.[50] Furthermore, coordination between CADE and Anatel is likely to be costly, if the latter ends up being the designated enforcer of Bill 2768. Brazil would essentially have two Acts pursuing the same or similar goals being implemented by two different agencies, with all the extra compliance and coordination costs that come with such duplicity.

Question 11

What is your assessment of the criteria of art. 9 of Bill 2768/2022? Should it be changed? By what criteria? Is it necessary to designate the essential service-to-service access control power holder?

This criterion seems arbitrary and, in any case, extremely low. There is no objective reason that would link “power to control access” with turnover. Furthermore, even if one admits, for the sake of argument, that turnover is a relevant indication of gatekeeper power, a R$70 million threshold would capture dozens, if not hundreds of companies active in a range of industries. This can lead to a situation in which a law that was initially — and purportedly — aimed at very specific “digital” firms, like Google, Amazon, Apple, Microsoft, etc., ends up, by and large, covering a host of other, comparatively small firms, including some of Brazil’s most valuable unicorns (see Question 7). On the other hand, it is also questionable from a rule of law perspective whether a law should seek to identify the specific companies it will apply to in advance.

Lessons can be drawn from the UK’s DMCC, which has made a similar mistake. Pursuant to the current proposal for a DMCC, the UK’s CMA will be able to designate a company as having “significant market status” (“SMS”) where it takes part in a ‘digital activity linked to the United Kingdom’, and, in relation to this digital activity, has ‘substantial and entrenched market power’ and is in ‘a position of strategic significance’ (s. 2), and has a turnover of at least £1 billion in the UK or £25 billion globally (s. 7).[51] The British government has previously stated that the ‘regime will be targeted at a small number of firms’.

However, except for the monetary threshold, the SMS criteria are all broadly defined, and could in theory capture as many as 530 companies (as of March 2022, there were 530 companies with more than £1 billion in revenue in the United Kingdom, according to the Office for National Statistics).[52] Thus, although the government claims that the new regime is aimed at a handful of companies, in practice the CMA will have the power to interfere in a variety of new ways across wide swaths of the economy.

Article 9 of Bill 2768 runs into a similar problem. Granted, it identifies the types of services to which the Bill would apply in a way that the DMCC does not. However, some of the categories envisaged are still very broad: for example, online intermediation services could cover any website that connects buyers and sellers or facilitates transactions between two parties. “Operating systems” are prevalent electronic devices well beyond Apple’s iOS and Google’s Android. Indeed, an operating system is just a program or set of programs of a computer system, which manages the physical resources (hardware), the execution protocols of the rest of the content (software), as well as the user interface. They can be found in many everyday devices, either through graphical user interfaces, desktop environments, window managers or command lines, depending on the nature of the device.

Companies delivering these services, no matter their competitive position, market share, the industry they are a part of, or any other economic or factual considerations, would all be caught by Bill 2768, as long as they fulfilled the (low) R$70 million threshold. The upshot is that the enforcer will be able to apply Bill 2768 against a host of wildly different companies, some of which might not really be in a position to harm competition or misuse their market power. As a consequence, the Bill risks discouraging growth, innovation and, indeed, success, as companies become wary of growing past a certain threshold for fear of being caught in the regulator’s crosshairs. Coupled with a reversal of the burden of proof and the possibility of ignoring efficiencies arguments, the Bill would give the enforcer massive, unchecked powers, which could raise rule of law issues.

This problem can be remedied, at least to some extent, by adding a series of qualitative criteria that may or may not work cumulatively with the quantitative thresholds laid down in the Bill. These criteria should require a showing that the companies in question control access to essential facilities, that such facilities cannot be reasonably replicated, and that access is being denied with the threat that competition on the market may be eliminated (refer to Question 1 for discussion on integrating the essential facilities doctrine into Bill 2768). In addition, Bill 2768 should leverage existing measurements of market power from competition law, such as the ability to control output and increase prices. Quantitative criteria, if used, should be significantly higher and also refer to the number of active users on each platform service covered. “Active user” should in this sense be defined as a user who uses a specific service at least once daily and, at a minimum, once weekly.

Question 12

What did you think of the rules on the Digital Platforms Supervisory Fund in art. 15 of Bill 2768/2022? Is there another way to finance this type of government regulatory activity?

There are many ways of financing governmental regulatory activity that do not require the targeted companies to pay an annual tax. Government agencies are typically financed from the general government budget — and it should be the same for the agency enforcing Bill 2768.

There are at least two issues with the current approach under Art. 15. The first is capture. If an agency’s activity is funded by the regulated companies, this can lead to the capture of the agency by the regulated company and facilitate rent-seeking — i.e., the situation in which a company uses the regulator to gain an unfair advantage over rivals. Second, it also creates an incentive on the part of the agency, and the government, to widen the scope of the targeted companies, as a way to secure more funding and resources. This creates a perverse incentive that does not align with the public interest. It also discourages investment and, in a sense, is tantamount to a racket by the government.

Moreover, to the extent that the Bill operates as a direct and targeted constraint on certain companies’ exercise of their economic liberty and private property rights for the presumed benefit of the public welfare, it seems appropriate that it should be funded by general-revenue funds, apportioned according to current tax policy over the entire tax-paying population.

Question 13

To what extent do you believe that all the problems addressed in Bill 2768/2022 are already adequately addressed by competition law, more specifically by CADE, with the instruments of Law No. 12,529 of 2011?

Please see the response to Question 10.

The fact that the government is asking this question at this stage in the process suggests that perhaps the scope and the particulars of Bill 2768 have not been thoroughly thought out. Bill 2768 should be passed only if it is clear that Brazilian competition law is not up to the task. By comparison, and as indicated in the answer to Question 10 above, virtually all of the conduct in the EU’s DMA has also been addressed through EU competition law — often in the Commission’s favor. However, the EU wanted to codify a set of rules that would ensure that the Commission did not have to litigate cases before the courts and would win every case — or at least the vast majority of cases — against digital platforms. But this decision, which one may or may not agree with, came after at least some experience applying competition law to digital platforms and a determination that the gains of such an approach would outweigh the manifest costs.

Conversely, Brazil’s CADE enjoys much more limited experience in this sense, and Brazil itself presents very different economic realities and consumer interests that may not yield the same cost/benefit analysis. As mentioned above, the only “penalties” CADE has imposed against “digital platforms” resulted from voluntary settlements, meaning there has been limited need to litigate “digital” cases in Brazil. There is a lingering sense that Bill 2768 has been proposed not in response to deficiencies in the existing competition law framework, or in response to identified needs particular to Brazil, but as a response to “global trends” initiated by the EU.

Art. 13 of Bill 2768, for example, provides that mergers by covered companies will be scrutinized pursuant to the general competition law rules applicable to other companies and in other sectors. It is unclear why the same logic could not apply across the board — i.e., to all potentially anticompetitive conduct by targeted companies. Why does some conduct which can be addressed through antitrust law necessitate special regulation, but not others?

Question 14

What problems could be generated for the innovation activity of digital platforms if there is the regulation of digital platforms proposed by Bill 2768/2022? Could this be dealt with in any way within Bill 2768/2022?

Indeed, it is by no means clear that Brazil’s particular circumstances are amenable to an “ex ante” approach similar to that of the EU.

Broad prohibitions and obligations such as the ones imposed by Art. 10 of Bill 2768 risk chilling innovative conduct and freezing technology in place. As the tenth ranked country in the global information technology market and with hundreds of startups in the AI sector, Brazil is a burgeoning market with tremendous potential.[53] Its 214 million population means that growth trends are poised to continue — and, sure enough, the number of app jobs grew by 54% in 2023 compared to 2019.[54]

However, static, strict rules such as those envisioned by Bill 2768 can nip the growth of Brazilian startups in the bud by imposing unsurmountable regulatory costs (which would, in any case, benefit incumbents compared to smaller competitors) and banning conduct capable of fostering growth, benefiting consumers, and igniting competition, such as self-preferencing and refusal to deal.

Indeed, both practices can — and often are — socially beneficial. As discussed in Question 8, despite its recent malignment by some policymakers, “self-preferencing” is normal business conduct and a key reason for efficient vertical integration, which avoids double marginalization and allows companies to better coordinate production, distribution, and sale more efficiently — all to the ultimate benefits of consumers. For example, retail services such as Amazon self-preferencing their own delivery services, as in the case of “Fulfilled by Amazon,” gives consumers something they value tremendously: a guarantee of quick delivery. As we have written elsewhere:

Amazon’s granting marketplace privileges to [Fulfilled by Amazon] products may help users to select the products that Amazon can guarantee will best satisfy their needs. This is perfectly plausible, as customers have repeatedly shown that they often prefer less open, less neutral options.[55]

In a recent report, the Australian Competition Commission recognized as much, stating that self-preferencing is often benign and can lead to procompetitive benefits.[56] Indeed, there are many legitimate reasons why companies may choose to self-preference, including better customer experience, customer service, more relevant choice (curation), and lower prices.[57] Thus, banning self-preferencing, or otherwise significantly discouraging companies from engaging in self-preferencing, could hamstring company growth — including by Brazilian companies that are currently in an early stage of development — and impede market entry by companies who could have been innovators.

Similarly, forcing companies to deal with third parties could stifle innovation by incentivizing free-riding and discouraging companies from making investments. Indeed, why would a company innovate or invest if it knows it will then have to share such investments and innovations with passive rivals who have undertaken none of these risks? The consequence is a stalemate where, rather than fighting to be the first to innovate and enjoy the fruits borne of such innovation, companies are rather encouraged to game the system by waiting for others to make the first step and then free riding on their achievements. This essentially upends the process of dynamic competition by artificially rearranging the incentive to innovate and invest vs. the incentive to free ride, reducing the benefits of the former and increasing the benefits of the latter.

It would be catastrophic to drive a wedge in Brazil’s ability to grow its technology sector and innovate — especially considering the country’s vast potential. Indeed, rather than a triumph of regulation over innovation, Brazil should strive to be precisely the opposite.[58]

Question 15

What would be the practical difficulties of applying this type of legislation contemplated by Bill 2768/2022?

Funds to finance what could be a considerable amount of enforcement are necessary, but not sufficient, to ensure effectiveness. In the EU, the Commission’s DG Competition, one of the world’s foremost and best-endowed competition authorities, has famously struggled to hire the staff necessary to implement the Digital Markets Act. In short, “DMA experts” currently do not exist — and the Commission will either have to train such experts itself or hire them when expertise develops through enforcement. But this creates a chicken-and-egg scenario, where enforcement — or at least good enforcement — cannot happen without good experts, and good experts cannot materialize without enforcement. There is no reason to believe that these considerations do not map onto the Brazilian context.

Brazil faces an additional challenge, however: attracting talent. Unlike in the EU, where posts at the Commission are highly coveted due to the high salaries, perks, and job security they confer, CADE’s resources are more modest and likely cannot compete fully with the private sector. Thus, before passing Bill 2768, the government should be clear on how the law would be enforced, and by whom.

Other issues include the heavy compliance burden of the Bill, which will affect not only the so-called “tech giants” but any company above the modest R$70 million turnover threshold, the difficulties in interpreting the ambiguous prohibitions and obligations contemplated in Art. 10 (and the litigation which may ensue, on which see Question 16), the cost of crafting of adequate remedies within the meaning of Art. 10, and the looming possibility that the Bill will capture procompetitive conduct and stifle innovation. As we have written with respect to ASEAN countries and the possibility of implementing EU-style competition regulation there:

The ASEAN nations exhibit extremely diverse policies regarding the role of government in the economy. Put simply, some of the ASEAN nations seem ill-suited to the far-reaching technocracy that almost inevitably flows from adopting the European model of competition enforcement. Others might simply not have sufficient resources to staff agencies that could, satisfactorily, undertake the type of far-reaching investigations that the European Commission is famous for.[59]

Question 16

Do you see a lot of room for the judicialization of this type of regulation provided for in Bill 2768/2022? On what devices?

The enforcement of Bill 2768 is likely to lead to substantial litigation, not least because many of the core concepts of the Bill are ambiguous and open to interpretation.

For instance, what does “discriminatory” conduct within the meaning of Art. 10, para. II entail? Can a covered platform treat business users differently based on objective criteria, such as quality, history, and trustworthiness, or must all business users be treated equally? In this sense, it is uncertain whether the specific meaning ascribed to “discriminatory conduct” under competition law applies in this context. Similarly, what does “adequate” use of data collected in the exercise of a firm’s activities mean (paragraph III)? Does paragraph IV of Art. 10 imply that a covered platform can never deny access to business users? Presumably, covered platforms will want to know how and why this general obligation deviates from the narrower essential facilities doctrine under Brazilian competition law.

Art. 11 adds certain caveats to this, such as that intervention should be tailored, proportionate and consider the impact, costs, and benefits. Again, what sort of impact, costs and benefits are relevant — on consumers, business users, the covered platform, society as a whole?

If this is anything to go by, Bill 2768 is likely to be a legally contentious one.

Question 17

Are the definitions in article 6 of Bill 2768/2022 adequate for the purpose of this proposal?

Art. 6 and, indeed, the entire impetus behind Bill 2768, rests on two questionable assumptions:

  1. That covered products and services are different from other products or services; and
  2. That these products and services are sufficiently similar to be considered (and regulated) as a group.

The former would be more convincing if the remedies contemplated by the Bill, such as non-discrimination, adequate use of data, and access, had not been previously used in other markets and for other products. Granting access on “Fair, Reasonable, and Nondiscriminatory” (“FRAND”) terms is often used in the context of competition law and IP law, both of which apply across industries. The duty to use data “adequately” is generally contemplated by data protection laws, which also apply broadly. The same can be said for access obligations, which are frequent under competition law and in regulated industries (such as telecommunications or railways).

In addition, neither the products and services in Art. 6 of the Bill, the companies that operate them, nor the business models they employ are monolithic. Voice assistants and social media, for instance, are vastly different products. The same can be said about cloud computing, which is not really a “platform” in the sense that, say, online intermediation is. The products and services in Art. 6 themselves are also highly heterogeneous, with a single category encompassing a motley list of products, from e-commerce to online maps and app stores.

The same argument applies to the companies that sell these products and services, which — despite the ubiquitous “Big Tech” moniker — are ultimately very different firms.[60] As Apple CEO Tim Cook has said: “Tech is not monolithic. That would be like saying ‘All restaurants are the same’ or ‘All TV networks are the same.’”[61]

For instance, while Google (Alphabet) and Facebook (Meta) are information-technology firms that specialize in online advertising, Apple remains primarily an electronics company, with around 75% of its revenue coming from the sale of iMacs, iPhones, iPads, and accessories. As Amanda Lotz of the University of Michigan has observed:

The profits on those [hardware] sales let Apple use very different strategies than the non-hardware [“Big Tech”] companies with which it is often compared.[62]

It also means that most of its other businesses — such as iMessage, iTunes, Apple Pay, etc. — are complements that “Apple uses strategically to support its primary focus as a hardware company.” Amazon, on the other hand, is primarily a retailer, with its Amazon Web Services and advertising divisions accounting for just 15% and 7% of the company’s revenue, respectively.[63]

Even when two “gatekeepers” are active in the same products/service market, they often have markedly different business models and practices. Thus, despite both selling mobile-phone operating systems, Android (Google) and Apple employ very different product-design philosophies. As we argued in an amicus curiae brief submitted last month to the U.S. Supreme Court in Apple v. Epic Games:

For Apple and its users, the touchstone of a good platform is not “openness,” but carefully curated selection and security, understood broadly as encompassing the removal of objectionable content, protection of privacy, and protection from “social engineering,” and the like.… By contrast, Android’s bet is on the open platform model, which sacrifices some degree of security for the greater variety and customization associated with more open distribution. These are legitimate differences in product design and business philosophy.[64]

These various companies and markets have diverse incentives, strategies, and product designs, therefore belying the idea that there is any economically and technically coherent notion of what comprises “gatekeeping.” In other words, both the products and services that would be subject to Art. 6 of Bill 2768 and those companies themselves are highly heterogeneous, and it is unclear why they are placed under the same umbrella.

Question 18

Instead of pure ex-ante regulation, would any other type of monitoring and/or regulation of digital markets make sense?

A special unit within CADE, operating within the limits of current antitrust laws, should be seriously assessed before rushing to adopt far-reaching, ex-ante regulation in digital markets. Most of the conduct covered by ex-ante regulation in the EU, for example, is spun off from competition law cases. This suggests that such conduct falls within the limits of traditional competition law and can be properly addressed through EU competition law.

Accordingly, a digital unit within CADE would leverage the expertise of staff with a background in applying antitrust law to “digital markets.” Chances are that, if such a unit cannot be formed within CADE, which boasts staff with the expertise that most closely resembles what would be required to enforce Bill 2768, it likely cannot be formed anywhere else — at least not without siphoning off talent from CADE. This would be a mistake, as CADE has a critical role in suppressing behavior that unambiguously harms the public interest, such as cartels (arguably, this is where Brazil should be focusing its resources).[65] Creating a new unit to prosecute novel conduct with uncertain effects on social welfare at the expense of suppressing conduct that is manifestly harmful does not pass a cost-benefit analysis and would ultimately damage Brazil’s economy.

Question 19

Do you think that the set of solutions described in art. 10 of Bill 2768/2022 are adequate?

It is difficult to answer this question without a clear notion of what Bill 2768 aims to achieve. Adequate for what?

Question 20

Are the set of sanctions provided for in art. 16 of Bill 2768/2022 adequate?

This is also difficult to answer. If the objective is to thwart all proscribed conduct, no matter the consequences for innovation, investment, and consumer satisfaction, then a high fine is called for — and many companies will stop doing business as a result (which will very effectively stop all undesirable behavior – but also all desirable behavior). If raising revenue is the objective, then the amount of enforcement times the level of sanction needs to be low enough to operate not as a bar to behavior but a fee for doing business. We do not know if the level of sanctions in Art. 16 is appropriate for this — nor, we hasten to add, should this ever be the intention of such a law!

On the other hand, if optimal deterrence is the objective, imposing sanctions considerably lower than those in the EU (as a sanction of 2% of the infringing companies’ Brazilian turnover would be) appears reasonable. Fines for antitrust infringements in the EU can be up to 10% of the company’s worldwide turnover; and fines for violations of the DMA can even reach 20%.[66] But Brazil should not seek to deter investment and innovation to the extent the EU has.

It is, of course, difficult to identify a causal link between competition fines and investment/innovation. But what we do know is this: The pace of economic growth in Europe has lagged that of the U.S. by a significant margin:

Fifteen years ago, the size of the European economy was 10% larger than that of the U.S., however, by 2022 it was 23% smaller. The GDP of the European Union (including UK before Brexit) has grown in this period by 21% (measured in dollars), compared to 72% for the US and 290% for China.[67]

Meanwhile, none of the world’s 10 largest technology companies, and only two of the 25 largest, are based in Europe.[68] And the large U.S. and Asian multinationals are spread across the entire technology industry, from electronic components (chips, mobile phones and computers) to app development companies, websites, and e-commerce. There may be many reasons for these discrepancies, but one of them is almost certainly the differences in the economic regulatory environments, including the extent of competition-law overdeterrence.[69]

Question 21

Article 10 provides for several obligations in a non-exhaustive list on which the regulator could impose other measures. Should an exhaustive list of measures be envisaged?

Exhaustive lists have the advantage of fostering predictability and cabining the enforcer’s discretion, thus limiting rent-seeking, and ensuring that enforcement stays tethered to the public interest. Assuming, of course, that the sort of measures which are envisaged act in the public interest in the first place.

The problem with how Bill 2768 is framed in its current state is that it is too open-ended. It is understandable that Bill 2768 does not want to tie the enforcers’ hands and has opted for bespoke interventions rather than blanket prohibitions and obligations. This is to be welcomed. However, it should not come at the expense of legal certainty, and it must not fail to impose limits on the enforcer’s discretion. This currently does not seem to be the case.

Article 10 thus provides that platform operators will be subject to “amongst others, the following obligations…” It is not clear, from this numerus apertus list, what the enforcer can and cannot do. But the problem is deeper than just Article 10; nowhere in the Bill is it explained what the goals of the new rules are. The proposed redrafting of Article 19-A of Law 9.472 of 16 July 1997 states, in paragraphs III, IV, and V is vague – it does not impose sufficiently clear limiting principles on the Bill’s reach. Indeed, it suggests that the goals of Bill 2768 would be to prevent conflicts of interest, prevent infringements of user’s rights, and prevent economic infringements by digital platforms in areas which are competence of CADE. Article 4 of Bill 2768 includes other goals: freedom of initiative, free competition, consumer protection, a reduction in regional and social inequality, repressing economic power and bolstering social participation. Elsewhere, it is implied that the goal is to diminish “gatekeeper power” (under “Justifications”).

In other words, it is not clear what Bill 2768 doesn’t empower the enforcer to do.

Furthermore, the prohibitions and obligations in Paragraphs I-IV of Art. 10 are similarly opaque. For instance, what is “adequate” use of collected data? (III). Does paragraph IV imply that a targeted platform may never refuse access to their service? In fact, one thing that is missing from Bill 2768 is the ability to escape a prohibition or obligation by demonstrating efficiencies or through an objective justification (such as, e.g., safety and security or privacy).

Clearly, Bill 2768 cannot predict all of the instances in which Art. 10 will be used. But, in order to strike a balance between the enforcer’s nimbleness and the law’s administrability and predictability, it needs to give a more focused account of the Bill’s goals, and how the provisions in Art. 10 help to achieve them. In other words: Articles 3, 4, and 10 need to be much clearer. Otherwise, the Bill risks doing more harm than good to targeted companies, business users, competitors, and ultimately, consumers. The “Justifications” section of the Bill states that it does not wish to impose a “straitjacket” on targeted companies through the imposition of strict ex ante rules. This is reasonable, especially considering the lack of evidence of unambiguous harm. But granting an enforcer like Anatel, which lacks experience in “digital markets,” broadly defined powers to intervene on the basis of equally broad goals amounts to imposing a straitjacket by another name. In a regulatory “panopticon” in which companies are never sure of what is and is not allowed, some might reasonably choose not to take risks, innovate, and bring new products to the market —because they do not wish to risk being subject to fines (Art. 16) and potential structural remedies, like break-ups (Art. 10, paragrafo unico). In other words, they might assume that much more is prohibited than is actually prohibited.

[1] PL 2768/2022, Dispõe sobre a organização, o funcionamento e a operação das plataformas digitais que oferecem serviços ao público brasileiro e dá outras providências, available at https://www.camara.leg.br/proposicoesWeb/fichadetramitacao?idProposicao=2337417.

[2] REGULATION (EU) 2022/1925 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 14 September 2022, on contestable and fair markets in the digital sector and amending Directives (EU) 2019/1937 and (EU) 2020/1828 (Digital Markets Act).

[3] https://www.mercadosdigitais.org/.

[4] Case C-7/97 Bronner, EU:C:1998:569.

[5] See, e.g., Commissioner Ana Frazão’s majority decision in Procedure No. 08012.003918/2005-14 (Defendant: Telemar Norte Leste S.A.), paras. 60-62, https://tinyurl.com/4dc38vvk.

[6] See Commissioner Mauricio Maia’s reporting majority decision in Administrative Procedure No. 08012.010483/2011-94 (Defendants: Google Inc. and Google Brasil Internet Ltda.), paras. 180-94; 224-42, https://tinyurl.com/3c9emytw.

[7] A 2021 report by IBRAC identified the high entry rate into the market of online sales platforms. See IBRAC, Revista do Revista do IBRAC Número 2-2021, available at https://ibrac.org.br/UPLOADS/PDF/RevistadoIBRAC/Revista_do_IBRAC_2_2021.pdf.

[8] Bronner, Para. 67.

[9] See Colangelo, G., The Digital Markets Act and EU Antitrust Enforcement: Double & Triple Jeopardy, ICLE White Paper (2022), available at https://laweconcenter.org/resources/the-digital-markets-act-and-eu-antitrust-enforcement-double-triple-jeopardy.

[10] CADE, Mercados de Plataformas Digitais, SEPN 515 Conjunto D, Lote 4, Ed. Carlos Taurisano CEP: 70.770-504 – Brasília/DF, available at https://cdn.cade.gov.br/Portal/centrais-de-conteudo/publicacoes/estudos-economicos/cadernos-do-cade/Caderno_Plataformas-Digitais_Atualizado_29.08.pdf.

[11] On the notion that DMA-style rules are “sector-specific competition law,” see Nicolas Petit, The Proposed Digital Markets Act (DMA): A Legal and Policy Review, 12 J. Eur. Compet. Law & Pract. 529 (May 11, 2021).

[12] See Verizon Communications, Inc. v. Law Offices of Curtis V. Trinko, LLP, 540 U.S. 398 (2003). “Compelling such firms to share the source of their advantage is in some tension with the underlying purpose of antitrust law, since it may lessen the incentive for the monopolist, the rival, or both to invest in those economically beneficial facilities.”

[13] Hou, L., The Essential Facilities Doctrine – What Was Wrong in Microsoft?, 43(4) International Review of Intellectual Property and Competition Law 251-71, 260 (2012).

[14] See Williamson, O.E., The Vertical Integration of Production: Market Failure Considerations, 61 Am. Econ. Rev. 112 (1971); Klein, B., Asset Specificity and Holdups, in The Elgar Companion to Transaction Cost Economics, P. G. Klein & M. Sykuta, eds. (Edward Elgar Publishing, 2010), 120–126.

[15] Commission Decision No. AT.39740 — Google Search (Shopping).

[16] A. Hoffman, Where Does Website Traffic Come From: Search Engine and Referral Traffic, Traffic Generation Café (Dec. 25, 2018), https://trafficgenerationcafe.com/website-traffic-source-search-engine-referral.

[17] See Manne, G., Against the Vertical Discrimination Presumption, Concurrences N° 2-2020, Art. N° 94267 (May 2020), https://www.concurrences.com/en/review/numeros/no-2-2020/editorial/foreword.

[18] On the need for caution when granting a right to access see, for example, Trinko: “We have been very cautious in recognizing such exceptions [to the right of [a] trader or manufacturer engaged in an entirely private business, freely to exercise his own independent discretion as to parties with whom he will deal], because of the uncertain virtue of forced sharing and the difficulty of identifying and remedying anticompetitive conduct by a single firm.”

[19] United States v. Aluminum Co. of America, 148 F.2d 416, 430 (2d Cir. 1945).

[20] “Thus, as a general matter, the Sherman Act ‘does not restrict the long recognized right of [a] trader or manufacturer engaged in an entirely private business, freely to exercise his own independent discretion as to parties with whom he will deal.’” United States v. Colgate & Co., 250 U. S. 300, 307 (1919).

[21] Foremost Pro Color, Inc. v. Eastman Kodak Co., 703 F.2d 534, 545 (9th Cir. 1983) (citations omitted).

[22] See Manne, G. & B. Sperry, Debunking the Myth of a Data Barrier to Entry for Online Services, Truth on the Market (Mar. 26, 2015), https://truthonthemarket.com/2015/03/26/debunking-the-myth-of-a-data-barrier-to-entry-for-online-services; Manne, G. & B. Sperry (2014). The Law and Economics of Data and Privacy in Antitrust Analysis, 2014 TPRC Conference Paper, available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2418779.

[23] See generally, Grunes, A. & M. Stucke, Big Data and Competition Policy (Oxford University Press, Oxford, 2016); Newman, N, Antitrust and the Economics of the Control of User Data, 30 Yale Journal on Regulation 3 (2014).

[24] See the examples discussed in Manne, G. & B. Sperry, Debunking the Myth of a Data Barrier to Entry for Online Services, Truth on the Market (Mar. 26, 2015), https://truthonthemarket.com/2015/03/26/debunking-the-myth-of-a-data-barrier-to-entry-for-online-services.

[25] Lerner, A., The Role of ‘Big Data’ in Online Platform Competition (2014), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2482780.

[26] Bowman, S. & G. Manne, Platform Self-Preferencing Can Be Good for Consumers and Even Competitors, Truth on the Market (Mar. 4, 2021), https://truthonthemarket.com/2021/03/04/platform-self-preferencing-can-be-good-for-consumers-and-even-competitors.

[27] C. Goujard, Google Forced to Postpone Bard Chatbot’s EU Launch Over Privacy Concerns, Politico (Jun. 13, 2023), https://www.politico.eu/article/google-postpone-bard-chatbot-eu-launch-privacy-concern.

[28] M. Kelly, Here’s Why Threads Is Delayed in Europe, The Verge (Jul. 10, 2023), https://www.theverge.com/23789754/threads-meta-twitter-eu-dma-digital-markets.

[29] Musk Considers Removing X Platform From Europe Over EU Law, Euractiv (Oct. 19, 2023), https://www.euractiv.com/section/platforms/news/musk-considers-removing-x-platform-from-europe-over-eu-law.

[30] Jud, M., Still No Copilot in Europe: Microsoft Rolls Out 23H2 Update, Digitec.ch (Nov. 1, 2023), https://www.digitec.ch/en/page/still-no-windows-copilot-in-europe-microsoft-rolls-out-23h2-update-30279.

[31] The Future is Bright for Latin American Startups, The Economist (Nov.13, 2023), available at https://www.economist.com/the-world-ahead/2023/11/13/the-future-is-bright-for-latin-american-startups.

[32] See Distrito, Panorama Tech América Latina (2023), available at https://static.poder360.com.br/2023/09/latam-report-1.pdf.

[33] The following is adapted from Manne, G., Against the Vertical Discrimination Presumption, Concurrences N° 2-2020, Art. N° 94267 (May 2020) https://www.concurrences.com/en/review/numeros/no-2-2020/editorial/foreword and our comments on the UK’s proposed Digital Markets, Competition and Consumers (“DMCC”) Bill: Auer, D., M. Lesh & L. Radic (2023). Digital Overload: How the Digital Markets, Competition and Consumers Bill’s Sweeping New Powers Threaten Britain’s Economy, 4 IEA Perspectives 16-21 (2023), available at https://iea.org.uk/wp-content/uploads/2023/09/Perspectives_4_Digital-overload_web.pdf.

[34] H. Singer, How Big Tech Threatens Economic Liberty, The Am. Conserv. (May 7, 2019), https://www.theamericanconservative.com/articles/how-big-tech-threatens-economic-liberty.

[35] Most of these theories, it must be noted, ignore the relevant and copious strategy literature on the complexity of platform dynamics. See, e.g., J. M. Barnett, The Host’s Dilemma: Strategic Forfeiture in Platform Markets for Informational Goods, 124 Harv. L. Rev. 1861 (2011); D. J. Teece, Profiting from Technological Innovation: Implications for Integration, Collaboration, Licensing and Public Policy, 15 Res. Pol’y 285 (1986); A. Hagiu & K. Boudreau, Platform Rules: Multi-Sided Platforms as Regulators, in Platforms, Markets and Innovation, A. Gawer, ed. (Edward Elgar Publishing, 2009); K. Boudreau, Open Platform Strategies and Innovation: Granting Access vs. Devolving Control, 56 Mgmt. Sci. 1849 (2010).

[36] For examples of this literature and a brief discussion of its findings, see Manne, G., Against the Vertical Discrimination Presumption, Concurrences N° 2-2020, Art. N° 94267 (May 2020), https://www.concurrences.com/en/review/numeros/no-2-2020/editorial/foreword.

[37] International Center for Law & Economics, International Center for Law & Economics Amicus Curiae Brief Submitted to the U.S. Court of Appeals for the Ninth Circuit 20-21 (2022), https://tinyurl.com/ywu553vb.

[38] See generally, Hagiu & Boudreau, Platform Rules: Multi-Sided Platforms as Regulators, supra note 31; Barnett, The Host’s Dilemma, supra note 31.

[39] Barnett, J., id.

[40] See Radic, L. and G. Manne, Amazon Italy’s Efficiency Offense, Truth on the Market (Jan. 11, 2022), https://tinyurl.com/2uht4fvw.

[41] Introduced as Bill 294 (2022-23), currently HL Bill 12 (2023-24), Digital Markets, Competition and Consumers Bill, available at https://bills.parliament.uk/bills/3453.

[42] Farrell, J., & P. Klemperer Coordination and Lock-In: Competition with Switching Costs and Network Effects, 3 Handbook of Industrial Organization1967-2072 (2007), available at https://www.sciencedirect.com/science/article/abs/pii/S1573448X06030317.

[43] Bill 2768, “Justifications.” See also Wu, T, The Curse of Bigness: Antitrust in the New Gilded Age, Columbia Global Reports (2018).

[44] Colangelo, G., The Digital Markets Act and EU Antitrust Enforcement: Double & Triple Jeopardy, ICLE White Paper 2022-03-23 (2022), available at https://laweconcenter.org/wp-content/uploads/2022/03/Giuseppe-Double-triple-jeopardy-final-draft-20220225.pdf.

[45] See also Caffarra, C. and F. Scott Morton, The European Commission Digital Markets Act: A Translation, Vox EU (Jan. 5, 2021), https://voxeu.org/article/european-commission-digital-markets-act-translation.

[46] How National Competition Agencies Can Strengthen the DMA, European Competition Network (Jun. 22, 2021), available at https://ec.europa.eu/competition/ecn/DMA_joint_EU_NCAs_paper_21.06.2021.pdf.

[47] For the full study, see https://cdn.cade.gov.br/Portal/centrais-de-conteudo/publicacoes/estudos-economicos/documentos-de-trabalho/2018/documento-de-trabalho-n01-2018-efeitos-concorrenciais-da-economia-do-compartilhamento-no-brasil-a-entrada-da-uber-afetou-o-mercado-de-aplicativos-de-taxi-entre-2014-e-2016.pdf.

[48] For a detailed overview of CADE’s decisions in digital platforms and payments services, see https://cdn.cade.gov.br/Portal/centrais-de-conteudo/publicacoes/estudos-economicos/cadernos-do-cade/mercado-de-instrumentos-de-pagamento-2019.pdf; https://cdn.cade.gov.br/Portal/centrais-de-conteudo/publicacoes/estudos-economicos/cadernos-do-cade/Caderno_Plataformas-Digitais_Atualizado_29.08.pdf.

[49] See, e.g., Epic Games, Inc. v. Apple Inc. 20-cv-05640-YGR.

[50] Staats, J. L., & G. Biglaiser, Foreign Direct Investment in Latin America: The Importance of Judicial Strength and Rule of Law, 56(1) International Studies Quarterly 193–202 (2012), https://doi.org/10.1111/j.1468-2478.2011.00690.x.

 

[51] HL Bill 12 (2023-24), Digital Markets, Competition and Consumers Bill, https://bills.parliament.uk/bills/3453.

[52] Auer, D., M. Lesh, & L. Radic (2023). Digital Overload: How the Digital Markets, Competition and Consumers Bill’s Sweeping New Powers Threaten Britain’s Economy, 4 IEA Perspectives 16-21, available at https://iea.org.uk/wp-content/uploads/2023/09/Perspectives_4_Digital-overload_web.pdf.

[53] See Dailey, M. Why the US Rejected European Style Digital Markets Regulation: Considerations for Brazil’s Tech Landscape, Progressive Policy Institute (Oct. 2, 2023), pp 5-6, available at https://www.progressivepolicy.org/wp-content/uploads/2023/10/PPI-Brazil-EU-Tech.pdf.

[54] Id.

[55] See Radic, L. and G. Manne, Amazon Italy’s Efficiency Offense. Truth on the Market (Jan. 11, 2022), available at https://tinyurl.com/2uht4fvw.

[56] ACCC, Digital Platform Services Inquiry, Discussion Paper for Interim Report No. 5: Updating Competition and Consumer Law for Digital Platform Services (Feb. 2022), available at https://www.accc.gov.au/system/files/Digital%20platform%20services%20inquiry.pdf.

[57] Bowman, S. & G. Manne, Platform Self-Preferencing Can Be Good for Consumers and Even Competitors, Truth on the Market (Mar. 4, 2021), https://laweconcenter.wpengine.com/2021/03/04/platform-self-preferencing-can-be-good-for-consumers-and-even-competitors.

 

[58] See Portuese, A. The Digital Markets Act: A Triumph of Regulation Over Innovation, ITIF Schumpeter Project (Aug. 24, 2022), available at https://itif.org/publications/2022/08/24/digital-markets-act-a-triumph-of-regulation-over-innovation.

 

[59] Auer, D., G. Manne & S. Bowman, Should ASEAN Antitrust Laws Emulate European Competition Policy?, 67(5) Singapore Economic Review 1637–1697, 1687 (2022).

[60]See Lotz, A. ‘Big Tech’ Isn’t a Monolith. It’s 5 Companies, All in Different Businesses, Houston Chronicle (Mar. 26, 2018), https://www.houstonchronicle.com/techburger/article/Big-Tech-isn-t-a-monolith-It-s-5-companies-12781761.php; see also Chaiehloudj, W. & Petit, N. On Big Tech and The Digital Economy, Competition Forum (Jan. 11, 2021), https://competition-forum.com/on-big-tech-and-the-digital-economy-interview-with-professor-nicolas-petit.

[61] Asher Hamilton, I. Tim Cook Says He’s Tired of Big Tech Being Painted as a ‘Monolithic’ Force That Needs Tearing Apart, Business Insider (May 7, 2019), https://www.businessinsider.com/apple-ceo-tim-cook-tired-of-big-tech-being-viewed-as-monolithic-2019-5.

[62] Lotz, 2018.

[63] G. Cuofano, Amazon Revenue Breakdown, Four Week MBA (Aug. 10, 2023), https://fourweekmba.com/amazon-revenue-breakdown.

[64] International Center for Law & Economics, International Center for Law & Economics Amicus Curiae Brief Submitted to the U.S. Supreme Court (2022), available at https://laweconcenter.org/wp-content/uploads/2023/11/ICLE-Amicus-Apple-v-Epic-SCt-10.27.23-FINAL.pdf.

[65] See Zúñiga, M. Latin America Should Follow Its Own Path on Digital-Markets Competition, Truth on the Market (Nov. 7, 2023), https://truthonthemarket.com/2023/11/07/latin-america-should-follow-its-own-path-on-digital-markets-competition.

[66] As pointed out in Question 10, however, there is a risk of double jeopardy considering that some of the conduct caught by Bill 2768 might also be covered by Brazilian competition law. In such cases, the 2% would be compounded by the penalties contemplated under Act 12.529/11, the Brazilian competition law, and the level could easily be too high.

[67] Weekly Foreign Policy Report No. 1329: A Europe Vassal to the US?, Política Exterior (Jun. 26, 2023) https://www.politicaexterior.com/articulo/una-europa-vasalla-de-eeuu.

[68] See, e.g., 100 Biggest Technology Companies in the World, Yahoo Finance (Aug. 23, 2023), available at https://finance.yahoo.com/news/100-biggest-technology-companies-world-175211230.html.

[69] See, e.g., Weekly Foreign Policy Report No. 1329: A Europe Vassal to the US?, Política Exterior (Jun. 26, 2023) https://www.politicaexterior.com/articulo/una-europa-vasalla-de-eeuu.

Regulatory Comments

Jogando o Jogo da Imitação na Regulação de Mercados Digitais – Uma Análise Cautelar para o Brasil

Introdução

Em 11 de outubro de 2022, João Maia (Deputado Federal, Partido Liberal) propôs o Projeto de Lei 2768/22 (“Projeto de Lei 2768” ou “Projeto”), que traz uma proposta de regulação de mercados digitais. [1] O Projeto de Lei 2768 é a resposta brasileira a tendências globais em direção à regulamentação ex-ante das plataformas digitais, sendo pelo menos parcialmente inspirado no Regulamento dos Mercados Digitais da União Europeia (“DMA”).[2] Em nossa contribuição à consulta pública sobre o Projeto de Lei (“Consulta”), argumentamos que o Brasil deve ter cautela ao importar diretamente uma regulação ainda não testada, dado que o país possui uma situação factual própria e única. Em vez de replicar impulsivamente tendências regulatórias da UE, o Brasil deveria adotar uma abordagem mais metódica e baseada em evidências. Um regime regulatório sólido exige que novas regras sejam fundamentadas em uma visão clara das falhas de mercado específicas que pretende abordar, bem como uma compreensão de seus custos e potenciais consequências acidentais. Infelizmente, o Projeto de Lei 2768 não atende a esses requisitos. Como demonstramos em nossa resposta à Consulta, não está claro que a legislação de defesa da concorrência brasileira tenha deixado de abordar problemas concorrenciais em mercados digitais a ponto de tornar necessária uma regulação digital sui generis. Em realidade, é pouco provável que existam “instalações essenciais” efetivas nos mercados digitais brasileiros a ponto de tornar necessária uma regulação que crie obrigações de acesso; é também pouco provável que “dados” representem uma barreira intransponível à entrada. Outros aspectos do Projeto de Lei –  como a designação da Anatel como autoridade responsável; os patamares extremamente baixos de faturamento fixados para identificação de um “controlador de acesso essencial”; e a ausência de qualquer consideração ao bem-estar do consumidor como um parâmetro relevante para a determinação de existência de danos ou para a identificação de exceções – também estão equivocados. Portanto, da forma como atualmente proposta, o Projeto de Lei 2768 levanta riscos de não apenas aumentar a pressão sobre os esparsos recursos públicos do país, como de reduzir a inovação, aumentar preços aos consumidores, e prejudicar o próspero ecossistema de startups do país.

Pergunta 1

Identificação de “facilidades essenciais” no universo dos mercados digitais. Dê exemplos de ativos de plataformas no mercado digital atuando no Brasil em que ao mesmo tempo: a) não haja plataformas digitais com ativos substitutos próximos a estes ativos b) estes ativos sejam difíceis de duplicação com eficiência ao menos próxima da empresa proprietária c) sem o acesso a este ativo, não seria possível atuar em um ou mais mercados, pois ele constitui um insumo fundamental.

Pelas razões que discutimos abaixo, é improvável que existam exemplos de verdadeiras “instalações essenciais” nos mercados digitais no Brasil.

É importante definir o significado de “instalação essencial” com precisão. O conceito de instalação essencial é um termo de última geração usado no direito da concorrência, que foi definido de forma diferente em todas as jurisdições. Ainda assim, a ideia geral das doutrinas de instalações essenciais é que há casos em que a negação de acesso a uma instalação por um operador existente pode distorcer a concorrência. No entanto, para separar os casos em que a negação de acesso constitui uma expressão legítima da concorrência no mérito das situações em que ela indica uma conduta anticompetitiva, os tribunais e as autoridades de defesa da concorrência elaboraram uma série de testes.

Assim, na UE, o caso de referência Bronner estabeleceu que a doutrina das instalações essenciais se aplica nos casos do art. 102 do TFUE quando:

  1. A recusa for suscetível de eliminar toda a concorrência no mercado por parte da pessoa que solicitar o serviço;
  2. A recusa não puder ser objetivamente justificada; e
  3. O serviço em si for indispensável para a condução dos negócios dessa pessoa, ou seja, não há substituto efetivo ou potencial para o insumo solicitado.[3]

Além disso, a instalação deve ser genuinamente “essencial” para competir, e não apenas conveniente.

Da mesma forma, o CADE incorporou a doutrina de instalações essenciais à política de concorrência brasileira, impondo o dever de lidar com os concorrentes.[4]

A definição de “instalações essenciais” e, consequentemente, a extensão e os limites da doutrina de instalações essenciais, nos termos do Projeto de Lei 2768/2022 (“Projeto de Lei 2768”), devem refletir princípios experimentados e testados do direito da concorrência. Não há razão para que as instalações essenciais sejam tratadas de forma diferente nos mercados “digitais”, ou seja, mercados que envolvem plataformas digitais, do que em outros mercados. Neste sentido, estamos preocupados que o enquadramento da Pergunta 1 revele uma inconsistência que deve ser abordada antes de seguir em frente; ou seja, quando os ativos de uma empresa são “difíceis” de replicar de forma eficiente, justifica-se forçar um concorrente a conceder acesso a esses ativos. A ideia é equivocada e pode até produzir o oposto do que o Projeto de Lei 2768 supostamente visa obter.

Como indicado acima, o conceito fundamental que sustenta a doutrina das instalações essenciais é que ela se aplica a um produto ou serviço que é pouco lucrativo ou impossível de duplicar. Normalmente, isso se aplica à infraestrutura, como telecomunicações ou ferrovias. Por exemplo, esperar que os concorrentes dupliquem rotas de transporte, como ferrovias, seria irreal — e economicamente um desperdício. Em vez disso, os governos frequentemente escolheram regular esses setores como serviços públicos de monopólio natural. Predominantemente, a prática inclui obrigatoriedade de acesso a todos os participantes de tais instalações essenciais mediante preços regulados e condições não discriminatórias que tornam a atividade de outras empresas viável e competitiva – facilitando assim a concorrência em um mercado secundário em situações em que a concorrência poderia ser impossível.

No entanto, o governo deve se perguntar em que medida essa lógica se aplica às chamadas plataformas digitais.

Os mecanismos de busca on-line, por exemplo, não são impossíveis ou excessivamente difíceis de replicar — nem o acesso a qualquer um deles é indispensável. Hoje, muitos mecanismos de busca estão disponíveis no mercado: Bing, Yandex, Ecosia, DuckDuckGo, Yahoo!, Google, Baidu, Ask.com e Swisscows — entre outros.

Mais precisamente, o mero acesso aos mecanismos de pesquisa não é realmente um problema. Em vez disso, na maioria dos casos, aqueles que reclamam da atividade de um mecanismo de busca geralmente desejam acesso aos primeiros resultados ou que o mecanismo de busca priorize seus próprios serviços de mercado secundário em detrimento do concorrente. Mas este espaço é irrisoriamente escasso; não há como ele ser alocado a todos os participantes. Ele também não pode ser alocado em termos imparciais; por definição, um mecanismo de busca deve priorizar os resultados.

Tratar um mecanismo de busca como uma instalação essencial geraria resultados problemáticos. Por exemplo, exigir acesso não discriminatório aos principais resultados de um mecanismo de busca seria como exigir que uma ferrovia oferecesse serviço a todos os transportadores a qualquer momento que o transportador quisesse, independentemente do congestionamento da ferrovia, dos horários de outros transportadores e da otimização pela ferrovia de seus horários. Não só seria impossível, mas nem sequer é exigido das instalações essenciais tradicionais.

Notadamente, embora as primeiras classificações na página de resultados de um mecanismo de busca seja, sem dúvida, um benefício para os negócios, existem outras maneiras de alcançar os clientes. De fato, como o CADE decidiu em um caso relativo ao Google Shopping, mesmo que a primeira página do resultado do Google seja relevante e importante para sites classificados, ela não é insubstituível, na medida em que existem outras maneiras de os consumidores encontrarem sites on-line. O Google não é um intermediário obrigatório para acesso ao site.[5] Além disso, como observado, as páginas de resultados de busca devem, por definição, discriminar para funcionar corretamente. Considerá-las instalações essenciais implicaria disputas intermináveis (e determinações tecnicamente complicadas) para decidir se as decisões de priorização do mecanismo de busca eram “adequadas” ou não.

Da mesma forma, plataformas de varejo on-line, como Amazon e Mercado Livre, são muito bem-sucedidas e convenientes, mas os vendedores podem usar outros métodos para alcançar os clientes. Por exemplo, eles podem vender em lojas físicas ou configurar facilmente seus próprios sites de varejo usando uma infinidade de provedores de software como serviço (“SaaS”) para facilitar o processamento e o atendimento de pedidos. Além disso, a presença e o sucesso simultâneos de Mercado Livre, B2W (Submarino.com, Americanas.com, Shoptime, Soubarato), Cnova (Extra.com.br, Casasbahia.com.br, Pontofrio.com), Magazine Luiza e Amazon no mercado brasileiro desqualifica a alegação de que qualquer uma dessas plataformas é indispensável ou irreplicável.[6]

Argumentos semelhantes podem ser feitos sobre as demais plataformas digitais abrangidas pelo art. 6, inciso II, do PL 2768. Por exemplo, o WhatsApp pode ser de longe o serviço de comunicação interpessoal mais popular do país. Ainda assim, há muitas alternativas de alcance fácil (e principalmente gratuito) para os consumidores brasileiros, como Messenger (62 milhões de usuários), Telegram (30 milhões), Instagram (64 milhões), Viber (3 milhões), Hangouts (2 milhões), WeChat (1 milhão), Kik (500.000 usuários) e Line (1 milhão de usuários). O grande número de usuários de cada aplicativo sugere que o multi-homing (multifornecimento) é generalizado.

Em suma, embora o acesso a uma determinada plataforma digital possa ser conveniente, especialmente se ela for atualmente a mais popular entre os usuários, é altamente questionável se esse acesso é essencial. E, como o Advogado Geral Jacobs observou em seu parecer em Bronner, a mera conveniência não cria um direito de acesso segundo a doutrina das instalações essenciais.[7]

Recomendação: O Projeto de Lei 2768 deve deixar claro que os princípios e requisitos de “instalações essenciais”, dentro do significado do direito da concorrência, se aplicam integralmente aos deveres e às obrigações contemplados no art. 10 — e que a definição de uma “instalação essencial” é um pré-requisito para a imposição desses deveres ou obrigações.

Pergunta 2

É necessária uma regulação que garanta o acesso ao(s) ativo(s) do(s) exemplo(s) da questão 1? O que tal regulação deveria garantir para que o acesso ao ativo viabilize a entrada de terceiros naqueles mercados digitais?

Antes de considerar se a regulamentação é necessária para garantir o acesso a ativos de determinadas empresas, o governo deve primeiramente considerar se garantir esse acesso é necessário e legítimo. Em nossa resposta à Pergunta 1, argumentamos que é improvável que seja. Se o governo, no entanto, decidir o contrário, a próxima pergunta lógica deve ser se o direito da concorrência, incluindo a própria doutrina das instalações essenciais, é suficiente para abordar quaisquer problemas alegados identificados na Pergunta 2.

Indiscutivelmente, a melhor maneira de responder a essa pergunta seria por meio do experimento natural de permitir que o CADE apresente processos contra plataformas digitais — supondo que possa construir um caso prima facie em cada instância — e verificar se ferramentas tradicionais do direito da concorrência fornecem ou não uma solução viável e, se não, se essas ferramentas podem ser aprimoradas pela reforma da lei de concorrência do Brasil, ou se é necessária uma nova regulamentação prévia abrangente.

Em comparação, a UE experimentou a lei de concorrência da UE antes de aprovar o Projeto de Lei dos Mercados Digitais (“DMA”). De fato, a maioria, se não todas, as proibições e obrigações da DMA decorrem de processos do direito da concorrência.[8] A UE acabou decidindo que preferia aprovar regras prévias gerais contra determinadas práticas, em vez de ter de litigar com base no direito da concorrência. Se essa foi ou não a decisão correta está em debate, mas uma coisa é certa: A UE testou seu kit de ferramentas de concorrência extensivamente contra plataformas digitais, antes de aprender com os resultados e decidir que precisava ser complementado com um novo conjunto de regras mais amplas, fáceis de aplicar e claras.

Em contraste, o Brasil instaurou apenas alguns processos de defesa da concorrência contra plataformas digitais. De acordo com números publicados pelo CADE, o[9] CADE analisou 233 processos de fusão relacionados a mercados de plataformas digitais entre 1995 e 2023 e, com relação a condutas unilaterais (casos de monopolização) — aquelas mais relevantes para a discussão do PL 2768 — abriu 23 processos de conduta. Com relação a esses 23 processos, 9 ainda estão sendo investigados, 11 foram julgados improcedentes e apenas 3 foram encerrados pela assinatura de um Termo de Compromisso de Cessação (TCC). Neste sentido, apenas 3 processos (TCCs) de 23 poderiam ter sido, em certa medida, “condenados”. É questionável se esses processos fornecem o tipo de evidência da existência de problemas intrínsecos de concorrência nos oito mercados de serviços identificados no art. 6, parágrafo II, do Projeto de Lei 2768 que justificariam novas regras de acesso “específicas do setor”.[10]

De fato, a recente entrada de empresas em muitos desses mercados sugere que o oposto está mais próximo da verdade. Existem inúmeros exemplos de entrada em uma variedade de serviços digitais, incluindo TikTok, Shein, Shopee e Daki, para citar apenas alguns.

Sérios problemas podem surgir quando produtos que não são instalações essenciais são tratados como tal, dos quais citamos dois.

Em primeiro lugar, estender demais a doutrina das instalações essenciais pode incentivar o oportunismo.[11] Não é para esse objetivo nem a intenção para a qual a doutrina das instalações essenciais, devidamente compreendida, deve ser usada:

Consequentemente, o [Tribunal de Justiça Europeu] implica que a [doutrina das instalações essenciais] não é concebida para a conveniência das empresas explorarem livremente as empresas dominantes, mas apenas para a necessidade de sobrevivência no mercado secundário em situações em que não existem substitutos efetivos.[12]

Por que desenvolver uma plataforma de varejo on-line concorrente, quando o acesso ao Mercado Livre ou à Amazon é garantido por lei? O oportunismo pode desencorajar investimentos de empresas terceiras e “guardiões” direcionados — especialmente no desenvolvimento e na melhoria de plataformas de negócios concorrentes (ou modelos de negócios alternativos que não são réplicas exatas das plataformas existentes). Ao contrário dos objetivos declarados do Projeto de Lei 2768, isso poderia entrincheirar ainda mais os operadores existentes, pois a capacidade de se aproveitar dos investimentos de terceiros incentiva as empresas a se afastarem dos principais mercados dos operadores existentes para atuar como complementadores nesses mercados.

De fato, uma preocupação séria — e subestimada — é o custo de assumir riscos excessivos por empresas que podem contar com proteções regulatórias para garantir a viabilidade contínua, mesmo quando ela não é garantida.

As empresas devem desenvolver seus modelos de negócios e operá-los em reconhecimento ao risco envolvido. Um complementador que se torna dependente de uma plataforma para distribuição de seu conteúdo assume um risco. Embora possa se beneficiar de um maior acesso aos usuários, ele se coloca à mercê do outro — ou pelo menos enfrenta grande dificuldade (e um custo significativo) para se adaptar a mudanças imprevistas na plataforma sobre as quais não tem controle. Essa é uma espécie de problema de “especificidade de ativo” que anima grande parte da literatura de Economia de Custos de Transação.[13]

Mas o risco pode ser calculado. As empresas ocupam posições especializadas em cadeias de suprimentos em toda a economia e fazem investimentos arriscados e específicos de ativos o tempo todo. Na maioria das circunstâncias, as empresas usam contratos para alocar risco e responsabilidade de forma a viabilizar o relacionamento. Quando é muito difícil gerenciar o risco por contrato, as empresas podem se integrar verticalmente (alinhando assim seus incentivos) ou simplesmente seguir caminhos separados.

O fato de uma plataforma criar uma oportunidade como apoio para os complementadores não significa que a decisão de uma empresa de fazê-lo — e fazê-lo sem um plano de contingência viável — faça sentido para os negócios. No caso dos sites de comparação de compras em questão, na decisão do Google Shopping da UE,[14] por exemplo, era totalmente previsível que o algoritmo do Google evoluiria. Também era totalmente previsível que ele evoluiria de maneiras que poderiam diminuir ou até mesmo evitar seu tráfego. Como disse um especialista em marketing digital, “contar com o tráfego dos mecanismos de busca como sua principal fonte de tráfego é um pouco insensato, para dizer o mínimo”.[15]

Fornecer garantias (que é o que uma regra de acesso “guardião” realiza) nessa situação cria um problema significativo: Proteger os complementadores do risco inerente a um modelo de negócios, no qual eles são totalmente dependentes de outra empresa com a qual não têm relação contratual, representa, no mínimo, tão provável como incentivar a tomada de riscos excessivos e o excesso de investimento ineficiente quanto garantir que o investimento e a inovação não sejam muito baixos.[16]

Em segundo lugar, conceder a empresas e concorrentes acesso a bens ou serviços, exceto nos poucos e restritos casos[17] em que o acesso a esses bens e serviços é verdadeiramente essencial para sustentar a concorrência no mercado, envia às plataformas a mensagem errada. A mensagem é que, depois de serem incentivadas a competir, as empresas de sucesso serão punidas por prosperarem. Isso contraria o espírito do direito concorrencial e o princípio da livre concorrência, que o PL 2768 deve ter o cuidado de não eliminar. Como o grande jurista norte-americano Learned Hand observou no processo U.S. v. Aluminum Co. of America: “O concorrente de sucesso, tendo sido instado a competir, não deve ser atacado quando vencer.”[18]

Além disso, forçar as empresas a fazer negócios com terceiros está em desacordo com o princípio de que, a menos que uma violação da lei de defesa da concorrência possa ser verificada, as empresas devem ser livres para fazer negócios com quem quiserem.[19] De fato, é uma pedra angular da economia de livre mercado que “as leis de defesa da concorrência [não] imponham um dever às [empresas]. . . para auxiliar [concorrentes]. . . ‘sobreviver ou expandir.’”[20]

Pergunta 3

Descreva casos nos mercados digitais em que há pelo menos uma outra empresa com ativos substitutos próximos a estes ativos da empresa principal, mas que ainda assim nenhuma das plataformas digitais que detêm o ativo provém acesso a ele. Ou seja, mesmo havendo mais de um ativo no mercado, continua havendo problema de acesso ao ativo. Como o PL 2768/2022, especialmente seu art. 10, poderia ser melhorado para aprimorar o acesso ao insumo essencial?

Não temos conhecimento desses processos.

Pergunta 4

Descreva casos em que a propriedade de dados em mercados digitais cria uma barreira à entrada que torna muito difícil ou mesmo impossível a entrada no mercado das plataformas digitais incumbentes. Como o PL 2768/2022 poderia mitigar este problema, reduzindo a barreira à entrada representada por acesso a dados?

A medida em que os dados representam uma barreira à entrada é, em nossa opinião, muito exagerada. O PL 2768 não deve supor que os dados são uma barreira à entrada e deve avaliar criticamente as alegações em contrário — especialmente se pretende construir um novo regime regulatório abrangente com base nessa suposição.[21]

Em poucas palavras, as teorias de “dados como barreira à entrada” afirmam que os dados on-line podem constituir uma barreira à entrada, isolando os serviços estabelecidos da concorrência e garantindo que apenas os maiores provedores prosperem. Essa barreira de dados à entrada, alega-se, pode permitir que empresas com poder de monopólio prejudiquem os consumidores, seja diretamente por meio de “atos negligentes”, como discriminação de preços, ou indiretamente, aumentando os custos de publicidade, que são repassados aos consumidores.[22]

No entanto, a noção de dados como uma barreira à entrada relevante de defesa da concorrência é mais uma suposição do que a realidade.

Primeiro, apesar da pressa em abraçar o “excepcionalismo da plataforma digital”, os dados são úteis para todos os setores. “Dados” não é um fenômeno novo específico para empresas on-line. Vale a pena repetir que os varejistas off-line também recebem vantagens substanciais e beneficiam muito os consumidores, ao saber mais sobre o que os consumidores querem e quando querem. Por meio de dispositivos como cupons, descontos de associação e cartões de fidelidade (para não mencionar listas de discussão direcionadas e a antiga prática de mineração de dados de comprovantes de check-out), os varejistas físicos podem rastrear dados de compra e atender melhor os consumidores. Não só os consumidores recebem melhores ofertas por usá-los, mas também os varejistas sabem quais produtos estocar e anunciar, e quando e com quais produtos realizar vendas.[23]

Obviamente, também há uma série de outros usos dos dados, incluindo segurança, prevenção de fraudes, otimização de produtos, redução de riscos para o segurado, saber qual conteúdo é mais interessante para os leitores etc. A importância dos dados vai muito além do mundo on-line e muito além do mero uso no varejo em geral. Descrever qualquer empresa como detentora de monopólio dos dados é, portanto, um erro.

Em segundo lugar, não é o volume de dados que leva ao sucesso, mas como esses dados são usados para criar produtos ou serviços atrativos para os usuários. Em outras palavras: a informação é importante para as empresas devido ao valor que dela pode ser extraído, e não pelo valor inerente dos dados em si. Assim, muitas empresas que acumularam grandes volumes de dados foram posteriormente incapazes de transformar esses dados em uma vantagem competitiva para ter sucesso no mercado. Por exemplo, Orkut, AOL, Friendster, Myspace, Yahoo! e Flicker — para citar alguns — todos ganharam imensa popularidade e acesso a volumes significativas de dados, mas não conseguiram reter seus usuários porque seus produtos não eram, em última análise, inexpressivos.

Não só os dados são menos importantes do que o que deles pode ser extraído, mas também são menos importantes do que o produto subjacente que eles informam. Por exemplo, o Snapchat criou um concorrente para o Facebook com tanto sucesso (e em tão pouco tempo) que o Facebook tentou comprá-lo por $3 bilhões (o Google ofereceu $4 bilhões). Mas o interesse do Facebook no Snapchat não era sobre seus dados. Em vez disso, o Snapchat era valioso — e um desafio competitivo para o Facebook — porque incorporou inteligentemente a percepção (aparentemente nova) de que muitas pessoas queriam compartilhar informações de uma maneira mais privada.

Da mesma forma, Twitter, Instagram, LinkedIn, Yelp, TikTok (e o próprio Facebook) começaram com poucos (ou nenhum) dados, mas, no entanto, obtiveram sucesso. Enquanto isso, apesar de suas supostas vantagens de dados, a tentativa do Google em redes sociais, o Google+, jamais alcançou o Facebook em termos de popularidade entre os usuários (e, portanto, também não entre os anunciantes) e foi desativado em 2019.

Ao mesmo tempo, não é o caso em que os supostos gigantes de dados — aqueles que supostamente se isolam por trás das barreiras à entrada de dados — realmente tenham, de qualquer maneira, o tipo de dados mais relevante para as startups. Como argumentou Andres Lerner, se você quisesse iniciar um negócio de viagens, os dados do Kayak ou Priceline (ou Decolar.com local) seriam muito mais relevantes.[24] Ou se você quisesse iniciar um negócio de compartilhamento de veículos, os dados das empresas de táxi seriam mais úteis do que os perfis amplos e transversais de mercado que o Google e o Facebook têm. Considere empresas como a Uber e a 99 que não tinham dados de clientes quando começaram a desafiar as empresas de táxi estabelecidas que detinham desses dados. Se os dados fossem realmente tão significativos, elas jamais poderiam ter competido com sucesso. Mas a Uber e a 99 conseguiram competir efetivamente porque construíram produtos que os usuários queriam usar — elas tiveram uma ideia para uma armadilha melhor. Os dados que elas acumularam foram obtidos depois que elas inovaram, entraram no mercado e superaram seus desafios com sucesso — não antes.

Portanto, reclamações sobre dados que facilitam vantagens competitivas incontestáveis têm demonstrado exatamente o contrário. As empresas precisam inovar para atrair dados do consumidor; caso contrário, os consumidores migrarão para os concorrentes (incluindo novos entrantes e operadores estabelecidos). Como resultado, o desejo de fazer uso de mais e melhores dados impulsiona a inovação competitiva, com resultados claramente impressionantes: A explosão contínua de novos produtos, serviços e de outros aplicativos é uma evidência de que os dados não são um gargalo para a concorrência, mas um estímulo para impulsioná-la.

Em terceiro lugar, a concorrência on-line está (metaforicamente – mas não muito) a um clique ou deslize do polegar. Ou seja, as barreiras à entrada e os custos de migração são baixos. De fato, apesar da suposta prevalência de barreiras de dados à entrada, a concorrência on-line continua a aumentar, com os recém-chegados constantemente emergindo e triunfando. A entrada de varejistas on-line e de outras plataformas digitais no Brasil é um caso em questão (Vide Perguntas 1 e 2). Isso sugere que as barreiras à entrada não são tão altas a ponto de impedir uma concorrência robusta.

Novamente, apesar dos supostos monopólios baseados em dados do Facebook, Google, Amazon, Apple e outros, existem concorrentes poderosos nos mercados em que competem:

  • Se os consumidores quiserem fazer uma compra, é mais provável que façam suas buscas no Mercado Livre ou na Amazon do que no Google ou no Facebook, mesmo com o lançamento do Facebook Marketplace.
  • O mecanismo de busca Google Flights não conseguiu ameaçar seriamente — muito menos deslocar — seus concorrentes, como os críticos temiam. Decolar.com, Kayak, Expedia e similares continuam sendo os sites de busca de viagens mais proeminentes — apesar de o Google ter literalmente comprado o acervo de dados de voo e a inteligência de processamento de dados da ITA.
  • O ChatGPT, uma das startups mais valorizadas atualmente, se tornou um sério adversário aos mecanismos de busca tradicionais.
  • O TikTok cresceu rapidamente para desafiar aplicativos populares de mídia social, como Instagram e Facebook.

Mesmo supondo, a título de argumento, que os dados criam uma barreira à entrada, há poucas evidências de que os consumidores não possam migrar facilmente para um concorrente. Embora, em alguns casos, haja efeitos na rede on-line, como nas redes sociais, a história ainda mostra que as pessoas migrarão. O Myspace era considerado uma rede dominante, até que tomou uma série de decisões de negócios ruins, e os usuários acabaram no Facebook; O Orkut teve um destino semelhante. Da mesma forma, os usuários da Internet podem e usam o Bing, o DuckDuckGo, o Yahoo! e uma infinidade de mecanismos de busca mais especializados, além e no lugar do Google, e cada vez mais também recorrem a outras maneiras de encontrar informações on-line (como pesquisar uma marca ou um restaurante diretamente no Instagram ou no TikTok, ou fazer uma pergunta ao ChatGPT). De fato, o próprio Google já foi um entrante iniciante, que substituiu nomes antes familiares como Yahoo! e AltaVista.

Em quarto lugar, o acesso a dados não é exclusivo. Os dados não são como o petróleo. Se, por exemplo, a Petrobras perfurar e extrair petróleo do solo, esse petróleo não mais estará disponível para outras empresas. Os dados não são igualmente finitos. O Google saber o aniversário de alguém também não limita a capacidade do Facebook de saber o aniversário da mesma pessoa. Embora os bancos de dados possam ser proprietários, os dados subjacentes não o são. E o que importa mais do que os dados em si é o nível de qualidade com que eles são analisados (veja o primeiro ponto). Como os dados não são exclusivos como o petróleo, qualquer tentativa de forçar o compartilhamento de dados e ajudar os concorrentes cria um problema de oportunismo. Por que passar pelo esforço de coletar dados valiosos sobre os clientes para saber o que eles querem e ser capaz de melhor atendê-los, quando a regulamentação exige que a Apple efetivamente forneça os dados?

Em conclusão, o problema de conceder aos concorrentes acesso aos dados é que os dados são uma consequência da concorrência, não um pré-requisito para ela. Assim, em vez de aumentar sua capacidade de competir, “presentear” os concorrentes com os frutos de tentativas bem-sucedidas de concorrência de outros corre o risco de destruir os incentivos de ambos os grupos para projetar produtos atrativos e acumular esses dados em primeiro lugar. Ao reverter a causalidade entre dados e concorrência, o Projeto de Lei 2768 corre o risco de sufocar inadvertidamente a mesma concorrência que supostamente busca reforçar.

Pergunta 5

Cite casos em que uma empresa no mercado digital no Brasil usou dados de terceiros em função de sua característica de provedor de insumo essencial, prejudicando o terceiro competitivamente?

Não temos conhecimento desses processos.

No entanto, o enquadramento desta pergunta deve ser claro sobre o que se entende por “prejudicar um terceiro competitivamente”. O uso de dados de terceiros é um dos principais impulsionadores da concorrência. Mesmo que os concorrentes sejam “prejudicados” como resultado, eles são prejudicados apenas na medida em que não se equiparem ao preço ou à qualidade oferecidos pela plataforma.

A concorrência é, em grande parte, impulsionada pelo uso do conhecimento dos produtos dos rivais — incluindo seu preço, qualidade, quantidade e como eles são vendidos e apresentados aos consumidores. De fato, o modelo de concorrência perfeita pressupõe, em grande medida, que todos os produtos no mercado são homogêneos (mesmo que isso raramente seja confirmado na prática). O uso de dados de terceiros para igualar e superar as ofertas dos concorrentes pode ser visto como uma expressão moderna dessa dinâmica. De fato, como já escrevemos antes:

Não podemos presumir que algo é ruim para a concorrência apenas porque é ruim para determinados concorrentes. Muitos comportamentos inequivocamente pró-concorrência, como o corte de preços, também tendem a dificultar a vida dos concorrentes. O mesmo acontece quando uma plataforma digital fornece um serviço melhor do que as alternativas fornecidas por terceiros vendedores no site. […].

Não há dúvida de que isso é desagradável para os comerciantes que precisam competir com essas ofertas. Mas também não é diferente de ter de competir com rivais mais eficientes, com custos mais baixos ou melhor percepção de demanda do consumidor. Copiar produtos e buscar maneiras de oferecê-los com melhores recursos ou a um preço mais baixo, que os críticos da autopreferência destacam como uma preocupação particular, sempre foi uma parte fundamental da concorrência no mercado – de fato, é a principal maneira pela qual a concorrência ocorre na maioria dos mercados.[25]

Qualquer proibição per se do uso de dados de terceiros impediria as plataformas digitais de usar dados para melhorar sua oferta de produtos de maneiras que poderiam beneficiar os consumidores.

Recomendação: Supondo que a lei de concorrência e a lei de PI (Propriedade Intelectual) não estejam à altura da tarefa de coibir abusos de dados de terceiros, o Projeto de Lei 2768 deve garantir que essas proibições sejam feitas sob medida para cobrir condutas que não tenham outra explicação racional além de procurar excluir um concorrente. Ele não deve capturar usos de dados de terceiros que impulsionem a concorrência e beneficiem os consumidores, mesmo que isso resulte na saída de um concorrente do mercado.

Pergunta 6

Descreva casos em que uma dificuldade de interoperabilidade com os sistemas de uma empresa torna muito difícil ou impossível a entrada em um ou mais mercados digitais. Como o PL 2768/2022 poderia mitigar este problema, reduzindo a barreira à entrada representada por falta de interoperabilidade?

Não temos conhecimento desses processos.

No entanto, ao considerar potenciais mandatos de interoperabilidade, o governo deve estar ciente dos riscos e compensações que acompanham essas medidas, especialmente em termos de segurança, proteção e privacidade (vide Pergunta 8 para obter uma discussão mais detalhada).

Pergunta 7

O Digital Market Act (DMA) Europeu optou por realizar proibições absolutas (per se) de algumas condutas nos mercados digitais como o self-preferencing, dentre outras. Já o PL 2768/2022 optou por não fazer qualquer conduta proibida ex-ante. Caberia haver uma ou mais condutas com proibições absolutas (per se) no PL 2768/2022? Por que? Por favor, propor redação, explicitando em que parte do PL se localizaria?

Não. Não deve haver proibições absolutas sobre esses tipos de conduta, especialmente sem experiência substantiva que sugira que essa conduta é sempre ou quase sempre prejudicial e em grande parte irremediável (neste item, respondemos à pergunta em termos gerais; consulte a Pergunta 8 para obter uma discussão sobre por que determinada conduta (por exemplo, autopreferência) não deve ser proibida).

Independentemente do dano aos negócios das empresas-alvo, proibições (ou mandatos) excessivamente amplas podem prejudicar os consumidores, arrefecendo a conduta pró-concorrência e desestimulando a inovação e o investimento, especialmente quando não for necessária uma demonstração de dano e a lei não for passível de argumentos de eficiência (como no caso do DMA). O fato de que essas proibições se aplicam a mercados muito diferentes (por exemplo, serviços em nuvem têm pouca relação com mecanismos de busca), independentemente do contexto, também é um sinal claro de que elas são excessivamente amplas e mal definidas.

De fato, há indícios de que, onde o DMA foi introduzido, ele atrasou o avanço da tecnologia. Por exemplo, a “Bard AI” do Google foi lançada mais tarde na Europa devido aos regulamentos incertos e rígidos de IA e privacidade da UE.[26] Da mesma forma, o “Threads” da Meta não está disponível na UE precisamente devido às restrições impostas pelo DMA e pelo regulamento de privacidade de dados da UE (GDPR).[27] Elon Musk, CEO da X (anteriormente Twitter), indicou que o custo de cumprir os regulamentos digitais da UE, como o DSA, poderia levar a empresa a sair do mercado europeu.[28] Recentemente, a Microsoft atrasou o lançamento na Europa de sua nova IA, “Copilot”, por causa do DMA.[29]

Além de capturar a conduta pró-concorrência que beneficia os consumidores e congelar a tecnologia no tempo (o que acabaria por exacerbar o abismo tecnológico entre países mais e menos avançados), as regras rígidas per se também poderiam capturar muitas empresas emergentes que não podem ser consideradas “guardiãs” por qualquer nível de imaginação. Esse risco é especialmente real no caso do Brasil, dado o limite extremamente baixo para o que constitui um “guardião”, consagrado no Artigo 9 (R$70 milhões, ou aproximadamente US$14 milhões). Assim, muitos unicórnios brasileiros poderiam, imediatamente ou em um futuro próximo, ser capturados pelas novas regras restritivas, o que poderia prejudicar seu crescimento e arrefecer produtos inovadores. Em última análise, isso poderia colocar em risco o status atual do Brasil como “o centro de startups mais bem estabelecido [da América Latina”] e lançar uma sombra sobre o que a The Economist se referiu como o futuro brilhante das startups latino-americanas.[30]

A lista de empresas prejudicadas pode incluir alguns dos unicórnios mais promissores do Brasil, como:

  • 99 (aplicativo de transporte)
  • Neon Bank (banco digital)
  • C6 Bank (banco digital)
  • CloudWalk (meio de pagamento)
  • Creditas (plataforma de empréstimos)
  • Ebanx (soluções de pagamento)
  • Facily (comércio social)
  • com (frete rodoviário)
  • Gympass (agregador de academia e benefícios corporativos)
  • Hotmart (plataforma de venda de produtos digitais)
  • iFood (serviço de entrega)
  • Loft (plataforma imobiliária)
  • Loggi (logística)
  • Mercado Bitcoin (corretora de criptomoedas)
  • Merama (e-commerce)
  • Madeira Madeira (loja de produtos para casa e decoração)
  • Nubank (banco)
  • Olist (e-commerce)
  • Wildlife Studios (desenvolvedora de jogos)
  • Quinto Andar (plataforma de locação de imóveis)
  • Vtex (tecnologia e comércio digital)
  • Unico (biometria)
  • Dock (infraestrutura)
  • Pismo (tecnologia para pagamentos e serviços bancários)[31]

Pergunta 8

Haveria condutas nos mercados digitais que teriam uma alta potencialidade de implicar problemas competitivos, mas que podem ser justificadas como gerar maior eficiência às empresas, às transações e aos mercados? Dê exemplos destas condutas? Como estas condutas deveriam ser tratadas no PL 2768/2022? Em particular, seria cabível uma “inversão de ônus da prova” em que tais condutas seriam presumivelmente anticompetitivas, mas que seria cabível autorizar uma defesa das plataformas digitais baseadas nessas eficiências? Caberia contemplar estas condutas não como proibidas per se, mas com “inversão de ônus da prova” no PL 2768/2022?

Existem certos tipos de comportamento nos mercados digitais que foram alvo de regulamentações prévias, mas que são, no entanto, capazes ou mesmo fundamentais para oferecer benefícios pró-concorrência significativos. Seria injustificado e prejudicial sujeitar essa conduta a proibições per se ou inverter o ônus da prova. Em vez disso, esse tipo de conduta deve ser abordado de forma imparcial e examinado caso a caso.[32]

A.      Autopreferência

A autopreferência ocorre quando uma empresa oferece tratamento preferencial a um de seus próprios produtos (presumidamente, esse tipo de comportamento poderia ser coberto pelo art. 10, inciso II, do PL 2768). Um exemplo seria o Google exibir seu serviço de compras no topo dos resultados de busca antes dos serviços de compras alternativos. Os críticos dessa prática argumentam que ela coloca as empresas dominantes em concorrência com outras empresas que dependem de seus serviços, e isso permite que as empresas alavanquem seu poder em um mercado para ganhar posição em um mercado adjacente, expandindo e consolidando seu domínio. No entanto, esse comportamento também pode ser pró-concorrência e benéfico para os usuários.

Nos últimos anos, um número crescente de críticos tem argumentado que as grandes plataformas de tecnologia prejudicam a concorrência ao favorecer seu próprio conteúdo em detrimento de seus complementadores. Ao longo do tempo, esse argumento contra a autopreferência tornou-se um dos mais proeminentes entre aqueles que buscam impor novas restrições regulatórias a essas plataformas.

De acordo com essa linha de argumentação, os complementadores estariam “à mercê” das plataformas tecnológicas. Ao discriminar em favor de seu próprio conteúdo e contra “provedores de ponta” independentes, as plataformas de tecnologia fazem com que “as recompensas pela inovação de ponta [sejam] atenuadas pela apropriação descontrolada”, levando a perspectivas “sombrias” para os atores independentes na economia da internet – e a inovação de ponta em geral. “[33]

O problema, no entanto, é que as alegações de dano presuntivo da autopreferência (também conhecida como “discriminação vertical”) não se baseiam em dados econômicos sólidos nem em evidências.

A noção de que a entrada da plataformas em concorrência com provedores de ponta é prejudicial à inovação é inteiramente especulativa. Além disso, é totalmente contrário a uma série de estudos que mostram que o oposto provavelmente é verdadeiro. Na realidade, a competição de plataformas é mais complicada do que as simples teorias de discriminação vertical,[34] e a literatura estabelece que certamente não há base para presunção de dano.[35]

A noção de que as plataformas devem ser forçadas a permitir que os complementadores concorram em seus próprios termos, livres de restrições ou concorrência de plataformas, é uma espécie de ideia de que as plataformas são mais socialmente valiosas quando são mais “abertas”. Mas a obrigatoriedade da abertura não é isenta de custos, o mais importante em termos do funcionamento eficaz da plataforma e de seus próprios incentivos à inovação.

Plataformas “abertas” e “fechadas” são formas diferentes de fornecer serviços semelhantes, e há espaço para concorrência entre essas abordagens alternativas. Ao proibir a autopreferência, um órgão regulador pode, portanto, encerrar a concorrência em detrimento dos consumidores. Como observamos em outra parte:

Para a Apple (e seus usuários), a pedra de toque de uma boa plataforma não é “abertura”, mas seleção e segurança cuidadosamente escolhidas, entendidas amplamente como abrangendo a remoção de conteúdo censurável, proteção da privacidade e proteção contra “engenharia social” e similares. Por outro lado, a aposta do Android é no modelo de plataforma aberta, que sacrifica algum grau de segurança pela maior variedade e personalização associadas a uma distribuição mais aberta. Essas são diferenças legítimas no design do produto e na filosofia de negócios.[36]

Além disso, é importante notar que a apropriação da inovação de ponta e sua incorporação à plataforma (uma forma comumente criticada de autopreferência da plataforma) aumenta muito o valor da inovação, compartilhando-a de forma mais ampla, garantindo sua coerência com a plataforma, incentivando o marketing e a promoção ideais e afins. Os smartphones hoje são uma coleção de muitos recursos que costumavam ser oferecidos separadamente, como telefones, calculadoras, câmeras e consoles de jogos, e fica claro que a incorporação desses recursos em um único dispositivo trouxe imensos benefícios aos consumidores e à sociedade como um todo. Em outras palavras, mesmo que haja um custo em termos de redução de inovação de ponta, os ganhos imediatos de bem-estar do consumidor com a apropriação da plataforma podem muito bem superar essas perdas (especulativas).

Fundamentalmente, as plataformas têm um incentivo para otimizar a abertura (e garantir aos complementadores retornos suficientes em seus investimentos específicos da plataforma). No entanto, isso não significa que a abertura máxima seja ideal; de fato, normalmente uma plataforma bem gerenciada exercerá controle de cima para baixo quando essa medida for mais importante e a abertura onde o controle ocorrer for menos significativa.[37]

Mas isso significa que é impossível saber se alguma restrição específica da plataforma (incluindo a autopriorização) na conduta do provedor de ponta é prejudicial e, da mesma forma, se qualquer mudança de mais para menos abertura (ou o contrário) é prejudicial.

Essa é a situação que leva à estrutura indeterminada e complexa dos empreendimentos de plataforma. Considere as grandes plataformas on-line, como Google e Facebook, por exemplo. Essas entidades obtêm a participação de usuários e complementadores ao disponibilizar gratuitamente o acesso às suas plataformas para uma ampla gama de usos, exercendo controle sobre o acesso apenas de maneira limitada para garantir alta qualidade e desempenho. Ao mesmo tempo, no entanto, esses operadores de plataforma também oferecem serviços proprietários em concorrência com complementadores, ou oferecem partes da plataforma para venda ou uso apenas mediante termos mais restritivos que facilitam um retorno financeiro à plataforma.

A chave é entender que, embora as restrições ao acesso e uso dos complementadores possam parecer restritivas, quando comparadas com um mundo imaginário sem restrições, nesse mundo a plataforma primeiramente nem sequer seria construída. Além disso, em comparação com o outro extremo — apropriação total (em que circunstâncias a plataforma também não seria construída…) — essas restrições são relativamente menores e representam muito menos do que a apropriação total de valor ou restrição de acesso. Como Jonathan Barnett resume adequadamente:

A [plataforma], portanto, enfrenta uma questão de compensação básica. Por um lado, deve perder o controle sobre uma parte da plataforma para obter a adoção do usuário. Por outro lado, deve exercer controle sobre alguma outra parte da plataforma, ou algum conjunto de bens ou serviços complementares, a fim de acumular receitas para cobrir os custos de desenvolvimento e manutenção (e, no caso de uma entidade com fins lucrativos, a fim de capturar quaisquer lucros remanescentes).[38]

Por exemplo, as empresas podem optar por favorecer seus próprios produtos ou serviços porque são elas mais capazes de garantir sua qualidade ou entrega rápida.[39] O Mercado Livre, por exemplo, pode estar em melhor posição para garantir que os produtos fornecidos pelo serviço de logística ‘Mercado Envios’ sejam entregues em tempo hábil em comparação com outros serviços. Os consumidores também podem se beneficiar da autopreferência de outras maneiras. Se, por exemplo, o Google fosse impedido de priorizar os vídeos do Google Maps ou do YouTube em seus resultados de busca, poderia ser mais difícil para os usuários encontrar resultados ideais e relevantes. Se a Amazon for proibida de preferir sua própria linha de produtos no mercado, ela poderá optar por não vender os produtos da concorrência.

O poder de proibir a exigência ou o incentivo de clientes de um produto para usar outro permitiria a limitação ou prevenção da autopreferência e de outros comportamentos semelhantes. Concedido, o direito da concorrência tradicional tem procurado restringir o “agrupamento” de produtos, exigindo que eles sejam comprados juntos, mas proibir o incentivo também vai muito além.

B.      Interoperabilidade

Outro mot du jour é a interoperabilidade, que pode se enquadrar no art. 10, inciso IV, do PL 2768. No contexto da regulamentação digital prévia, “interoperabilidade” significa que as empresas abrangidas podem ser forçadas a garantir que seus produtos se integrem a produtos de outras empresas. Por exemplo, exigir que uma rede social esteja aberta à integração com outros serviços e aplicativos, que um sistema operacional móvel esteja aberto a lojas de aplicativos de terceiros ou que um serviço de mensagens seja compatível com outros serviços de mensagens. Sem regulamentação, as empresas podem ou não optar por tornar seu software interoperável. No entanto, o DMA da Europa e a futura Lei de Mercados Digitais, Concorrência e Consumo (“DMCC”) do Reino Unido[40] permitirão que as autoridades assim o exijam. Outro exemplo é a “portabilidade” de dados, que permite aos clientes transferir seus dados de um fornecedor para outro, da mesma forma que um número de telefone pode ser mantido quando se muda de rede.

O argumento usual é que o poder de exigir interoperabilidade pode ser necessário para “superar os efeitos da rede e as barreiras à entrada/expansão”. No entanto, o governo brasileiro não deve ignorar que essa solução representa custos para a escolha do consumidor, em particular por levantar dificuldades com segurança e privacidade, além de ter benefícios questionáveis para a concorrência. De fato, não é como se a concorrência desaparecesse quando os clientes não conseguem migrar tão facilmente quanto ao acender uma luz. As empresas competem antecipadamente para atrair esses consumidores por meio de táticas como preços de penetração, ofertas introdutórias e guerras de preços.[41]

Um sistema fechado, ou seja, com interoperabilidade comparativamente limitada, pode ajudar a limitar os riscos de segurança e privacidade. Isso pode incentivar o uso da plataforma e melhorar a experiência do usuário. Por exemplo, ao permanecer relativamente fechada e com curadoria, a App Store da Apple oferece aos usuários a garantia de que os aplicativos atenderão a um determinado padrão de segurança e confiabilidade. Assim, ecossistemas “abertos” e “fechados” não são sinônimos de “bons” e “ruins” e, em vez disso, representam duas filosofias diferentes de design de produto, qualquer uma das quais pode ser preferida pelos consumidores. Ao forçar as empresas a operar plataformas “abertas”, as obrigações de interoperabilidade poderiam, assim, minar esse tipo de concorrência entre marcas e anular as escolhas do consumidor.

Além de potencialmente prejudicar a experiência do usuário, também é duvidoso que alguns dos mandatos de interoperabilidade, como aqueles entre mídias sociais ou serviços de mensagens, possam atingir seu objetivo declarado de reduzir as barreiras à entrada e promover uma maior concorrência. Os consumidores não são necessariamente mais propensos a migrar de plataforma simplesmente porque são interoperáveis. Na verdade, há um argumento a ser feito de que tornar os aplicativos de mensagens interoperáveis de fato reduz o incentivo para baixar aplicativos concorrentes, já que os usuários já podem interagir com os aplicativos dos concorrentes a partir do aplicativo de mensagens existente.

C.      Telas de Seleção

Algumas regras prévias procuram abordar a capacidade das empresas de influenciar a escolha dos aplicativos pelo usuário por meio da pré-instalação, padrões e design de lojas de aplicativos (isso pode se enquadrar no art. 10, parágrafo II, do Projeto de Lei 2768). Isso às vezes resultou na imposição de exigências para fornecer aos usuários “telas de seleção”, por exemplo, exigindo que os usuários escolham qual mecanismo de busca ou serviço de mapeamento está instalado em seu telefone. Nesse sentido, é importante entender as compensações em jogo aqui discutidas: as telas de seleção podem facilitar a competição, mas podem fazê-lo às custas da experiência do usuário, em termos do tempo necessário para fazer essas escolhas. Existe o risco, sem evidência de demanda do consumidor por ‘telas de seleção’, de que essas regras imponham a preferência do legislador por maior opcionalidade sobre o que é mais conveniente para os usuários. A menos que haja uma demanda pública explícita no Brasil por essas medidas, seria imprudente implementar uma obrigação de tela de seleção.

D.     Tamanho e Poder de Mercado

Em geral, muitas das proibições e obrigações contempladas nas regras  prévias visam o tamanho, a escalabilidade e a “importância estratégica” dos operadores existentes.”

É amplamente alegado que, devido aos efeitos de rede, os mercados digitais são propensos a “tombamento”, pelo que, quando um produtor ganha uma participação suficiente no mercado, ele rapidamente se torna um monopolista completo ou quase completo. Embora possam começar sendo muito competitivos, esses mercados, portanto, exibem uma característica marcante de o “vencedor leva tudo”. As regras prévias geralmente tentam evitar ou reverter esse resultado, visando o porte de uma empresa ou empresas com poder de mercado.

No entanto, existem muitos investimentos e inovações que – se permitidos – beneficiarão os consumidores, seja imediatamente ou no longo prazo, mas que podem ter algum efeito no aumento do poder de mercado, no porte de uma empresa ou em sua importância estratégica. De fato, melhorar os produtos de uma empresa e, assim, aumentar suas vendas muitas vezes levará a um aumento do poder de mercado.

Consequentemente, a segmentação de “porte/tamanho” ou conduta que reforça o poder de mercado, sem qualquer evidência de dano, cria um sério perigo de inibição muito ampla de pesquisa, inovação e investimento – tudo em detrimento dos consumidores. Na medida em que tais regras impeçam o crescimento e o desenvolvimento de empresas estabelecidas, elas também podem prejudicar a concorrência, uma vez é bem possível que essas mesmas empresas – se permitido – sejam mais propensas a desafiar o poder de mercado de outras empresas em outros mercados adjacentes. Os casos de lançamento de serviços de vídeo sob demanda da Disney, Apple, Amazon e Globo para competir com a Netflix e a introdução pela Meta do ‘Threads’, como um adversário do Twitter (ou ‘X’), parecem ser um exemplo. Neste caso, regras per se que tenham o objetivo de proibir o aumento do porte ou do poder de mercado em uma área podem, de fato, impedir a entrada de uma empresa em um mercado dominado por outra. Neste caso, a ação dos legisladores protege o poder de monopólio. Portanto, é necessária uma abordagem muito mais sutil da regulamentação.

A referência do Projeto de Lei 2768 a The Curse of Bigness, de Tim Wu, que notoriamente adota um ethos redutivo de “grande é ruim”, sugere que poderia estar sendo feita uma suposição igualmente falha.[42]

E.      Conclusão

Não consideramos apropriado reverter o ônus da prova em nenhum caso, no contexto das plataformas digitais. Sem evidências substanciais de que essa conduta cause danos generalizados a um interesse público bem definido (por exemplo, semelhante aos cartéis no contexto da lei de defesa da concorrência), não há justificativa para uma reversão do ônus da prova, e qualquer reversão nesse sentido corre o risco de minar os benefícios ao consumidor, a inovação e desencorajar o investimento na economia brasileira pelo medo justificado de que a conduta pró-concorrência resulte em multas e recursos. Da mesma forma, acreditamos que, quando o órgão executor nomeado estabelece um processo prima facie de dano, seja no contexto da lei de defesa da concorrência ou da regulamentação digital prévia, ele também deve estar preparado para abordar argumentos relacionados à eficiência.

Pergunta 9

É necessário que haja um regulador? Se sim, qual regulador estaria melhor capacitado para implementar a regulação prevista no PL 2768/2022? Anatel, o CADE, a ANPD, outro regulador existente ou novo? Justifique.

Apesar da falta de clareza com relação às metas e aos objetivos da lei, as regras propostas pelo Projeto de Lei 2768 parecem ser baseadas na concorrência, pelo menos na medida em que buscam reforçar a livre concorrência, a proteção do consumidor e combater o “abuso de poder econômico” (art. 4). Portanto, o órgão mais bem posicionado para aplicá-la seria, em princípio, o CADE (os objetivos da Lei 12.529/11, a Lei da Concorrência brasileira, se sobrepõem significativamente aos do Projeto de Lei 2768). Por outro lado, há um risco palpável de que, no cumprimento de suas atribuições nos termos do Projeto de Lei 2768, a Anatel poderia transpor a lógica e os princípios da regulamentação das telecomunicações para os mercados “digitais”, o que é um equívoco porque são duas coisas muito diferentes.

Não apenas os mercados “digitais” são substancialmente diferentes dos mercados de telecomunicações, mas realmente não existe um conceito claramente demarcado de “mercado digital”. Por exemplo, as plataformas digitais descritas no art. 6, parágrafo II, da Lei 2768 não são homogêneas e abrangem uma variedade de modelos de negócios diferentes. Além disso, praticamente todos os mercados hoje incorporam elementos “digitais”, como dados. De fato, as empresas que operam em setores tão divergentes como varejo, seguros, saúde, farmacêutica, produção e distribuição, foram todas “digitalizadas”. Assim, parece necessário um órgão executor com sutil entendimento da dinâmica da digitalização e, principalmente, das idiossincrasias das plataformas digitais como mercados bilaterais. Embora o CADE indiscutivelmente careça de experiência substantiva com plataformas digitais, ele está em melhor posição para fazer cumprir o Projeto de Lei 2768 do que a Anatel por causa de sua profunda experiência com a aplicação da política de concorrência.

Pergunta 10

Você avalia que poderia haver algum risco de bis in idem entre o regulador e a autoridade de concorrência com a mesma conduta sendo analisada por ambos?

Com base na experiência da UE, existe um risco de dupla penalização na interseção entre o direito da concorrência tradicional e a regulamentação digital prévia.

A título de comparação, e como escreveu Giuseppe Colangelo, o DMA baseia-se explicitamente na noção de que o direito da concorrência por si só é insuficiente para enfrentar efetivamente os desafios e problemas sistêmicos colocados pela economia da plataforma digital.[43] De fato, o escopo de defesa da concorrência é limitado a determinadas instâncias de poder de mercado (por exemplo, domínio em mercados específicos) e de comportamento anticompetitivo. Além disso, sua execução ocorre posteriormente e requer uma extensa investigação caso a caso do que muitas vezes são conjuntos de fatos muito complexos, e talvez não consigam abordar efetivamente os desafios ao bom funcionamento dos mercados colocados pela conduta dos guardiões, que não são necessariamente dominantes em termos do direito da concorrência — ou assim argumentam seus proponentes. Como resultado, regimes como o DMA invocam a intervenção regulatória para complementar as regras tradicionais do direito da concorrência, introduzindo um conjunto de obrigações prévias para plataformas on-line designadas como guardiães. Isso também permite que os órgãos executores se liberem do processo trabalhoso de definir mercados relevantes, provar dominância e mensurar os efeitos do mercado.

No entanto, apesar das alegações de que o DMA não é um instrumento do direito da concorrência e, portanto, não afetaria a forma como as regras de defesa da concorrência se aplicam nos mercados digitais, o regime parece obscurecer a linha entre regulamentação e defesa da concorrência, misturando suas respectivas características e objetivos. De fato, o DMA compartilha os mesmos objetivos e protege os mesmos interesses legais que o direito da concorrência.

Além disso, sua lista de proibições é efetivamente uma sinopse de processos de defesa da concorrência antigos e em andamento, como o Google Shopping (Processo T-612/17), a Apple (AT.40437) e a Amazon (Processos AT.40462 e AT.40703).[44] Reconhecendo a continuidade entre o direito da concorrência e o DMA, a European Competition Network (ECN) e alguns estados membros da UE (auto-intitulados “amigos de um DMA eficaz”) propuseram inicialmente capacitar as autoridades nacionais de defesa da concorrência (NCAs) para fazer cumprir as obrigações do DMA.[45]

Da mesma forma, as proibições e obrigações previstas no Art. 10 do PL 2768 poderiam, em tese, ser todas impostas pelo CADE. Na verdade, o CADE investigou, e ainda está investigando, várias grandes empresas que (provavelmente) se enquadram no âmbito do Projeto de Lei 2768, como o Google, Apple, Meta, (ainda sob investigação) Booking.com, Decolar.com, Expedia e iFood (investigações encerradas por acordo de cessação e desistência) e Uber (todas as investigações encerradas sem penalidades; após um estudo econômico, o CADE constatou que a entrada do Uber beneficiou os consumidores[46]). As investigações passadas e presentes do CADE contra essas empresas já abrangeram condutas que são alvo da DMA e do PL 2768, como recusa de negociação, auto preferência e discriminação.[47] As normas de concorrência existentes nos termos da Lei 12.529/11, a Lei de Concorrência Brasileira, portanto, claramente já captura o tipo de conduta que está incluída no Projeto de Lei 2768. Além disso, o requisito de usar dados “adequadamente” provavelmente é coberto pela regulamentação de proteção de dados no Brasil (Lei Geral de Proteção de Dados, LGPD, Lei Federal nº 13.709/2018).

A diferença entre os dois regimes é que, enquanto a lei geral antitruste exige uma demonstração de dano (mesmo que potencial) e isenta condutas com benefícios líquidos aos consumidores, o Projeto de Lei 2768, em princípio, não o faz. O único princípio limitante às proibições e obrigações contidas no Art. 10 Art. 11 (III) é o princípio da proporcionalidade — que é um princípio geral do direito constitucional e deve, em qualquer caso, ser aplicado independentemente do Projeto de Lei 2768. Assim, o único princípio limitante do Art. 10, enquadrado de forma ampla, é redundante.

Há uma outra complicação. O Projeto de Lei 2768 persegue muitos (embora não todos) dos mesmos objetivos que a Lei 12.529/11. Na medida em que esses objetivos são compartilhados, isso pode levar a um bis in idem, ou seja, a mesma conduta ser punida duas vezes sob regimes ligeiramente diferentes. Mas também poderia produzir resultados contraditórios porque, como apontado acima, os objetivos perseguidos pelos dois projetos de lei não são idênticos. A Lei 12.529/11 é orientada pelos objetivos de “livre concorrência, liberdade de iniciativa, papel social da propriedade, defesa do consumidor e prevenção do abuso do poder econômico” (Art. 1º). A esses objetivos, o Projeto de Lei 2768 acrescenta “redução das desigualdades regionais e sociais” e “aumento da participação social em questões de interesse público”. Embora seja verdade que esses princípios derivam do Art. 170 da Constituição Brasileira (“ordem econômica”), o descompasso entre os objetivos da Lei 12.529/11 e do Projeto de Lei 2768 e suas autoridades de supervisão é suficiente para levar a situações em que a conduta permitida ou mesmo incentivada pela Lei 12.529/11 é proibida pelo Projeto de Lei 2768. Por exemplo, a conduta pró concorrência por uma plataforma coberta pode, no entanto, exacerbar “desigualdades regionais ou sociais” porque investe fortemente em uma região, mas não em outras. Da mesma forma, medidas de segurança, privacidade e proteção implementadas por, digamos, um operador de uma App Store, que normalmente seriam consideradas benéficas para os consumidores nos termos da lei antitruste,[48] poderiam levar a uma menor participação em discussões de interesse público (assumindo que se poderia facilmente definir o significado de tal termo).

Consequentemente, o Projeto de Lei 2768 poderia fragmentar a estrutura legal do Brasil devido a sobreposições com o direito da concorrência, sufocar a conduta pró concorrência e levar a resultados contraditórios. Isso, por sua vez, provavelmente afetará a segurança jurídica e o estado democrático de direito no Brasil, o que poderia afetar adversamente o Investimento Estrangeiro Direto.[49] Além disso, é provável que a coordenação entre o CADE e a Anatel seja onerosa caso esta última acabe sendo a fiscalização designada do PL 2768. O Brasil teria essencialmente duas Leis que buscam objetivos iguais ou semelhantes sendo implementados por duas agências diferentes, com todos os custos extras de conformidade e coordenação que acompanham essa duplicidade.

Pergunta 11

Qual sua avaliação acerca do critério do art. 9 do PL 2768/2022? Deve ser alterado? Por qual critério? Cabe fazer a designação de detentor de poder de controle de acesso essencial serviço a serviço?

Esse critério parece arbitrário e, de qualquer modo, extremamente irrelevante. Não há nenhuma razão objetiva que vincule o “poder de controlar o acesso” ao volume de negócios. Além disso, mesmo que se admita, por uma questão de argumentação, que o volume de negócios é um indicador relevante de poder de gatekeeper, um limite de R$ 70 milhões capturaria dezenas, se não centenas, de empresas ativas em uma variedade de setores. Isso pode levar a uma situação em que uma lei que inicialmente — e supostamente — visava empresas “digitais” muito específicas, como o Google, Amazon, Apple, Microsoft, etc., acaba, em geral, cobrindo uma série de outras empresas comparativamente pequenas, incluindo alguns dos unicórnios mais valiosos do Brasil (ver Pergunta 7). Por outro lado, também é questionável, do ponto de vista do estado democrático de direito, se uma lei deve procurar identificar antecipadamente as empresas específicas às quais se aplicará.

As lições podem ser tiradas da DMCC do Reino Unido, que cometeu um erro semelhante. De acordo com o atual projeto da DMCC, a CMA do Reino Unido poderá designar uma empresa como se tivesse “status de mercado significativo” (“SMS”) se participar de uma “atividade digital ligada ao Reino Unido” e, em relação a essa atividade digital, se tiver “poder de mercado substancial e arraigado” e estiver em “uma posição de importância estratégica” (s. 2), assim como contar com um faturamento de pelo menos £ 1 bilhão no Reino Unido ou £ 25 bilhões globalmente (s. 7).[50] O governo britânico afirmou anteriormente que o “regime será direcionado a um pequeno número de empresas”.

No entanto, com exceção do limite monetário, os critérios de SMS são todos amplamente definidos e poderiam, em teoria, capturar até 530 empresas (em março de 2022, havia 530 empresas com mais de £ 1 bilhão em receita no Reino Unido, de acordo com o Departamento de Estatísticas Nacionais).[51] Assim, embora o governo afirme que o novo regime é destinado a um punhado de empresas, na prática, o CMA terá o poder de interferir de várias maneiras novas em amplas faixas da economia.

O Artigo 9º do Projeto de Lei 2768 se depara com um problema semelhante. Deferido, identifica os tipos de serviços aos quais o Projeto de Lei se aplicaria de uma forma que a DMCC não faz. No entanto, algumas das categorias previstas ainda são muito amplas: por exemplo, os serviços de intermediação online podem abranger qualquer site que conecte compradores e vendedores ou facilite transações entre duas partes. “Sistemas operacionais” são dispositivos eletrônicos predominantes muito além do iOS da Apple e do Android do Google. De fato, um sistema operacional é apenas um programa ou conjunto de programas de um sistema de computador, que gerencia os recursos físicos (hardware), os protocolos de execução do restante do conteúdo (software), bem como a interface do usuário. Eles podem ser encontrados em muitos dispositivos do dia a dia, seja por meio de interfaces gráficas de usuário, ambientes de desktop, gerenciadores de window ou linhas de comando, dependendo da natureza do dispositivo.

As empresas que prestam esses serviços, independentemente de sua posição na concorrência, participação de mercado, setor do qual fazem parte ou quaisquer outras considerações econômicas ou de fato, seriam todas abrangidas pelo PL 2768, desde que atendessem o (baixo) limite de R$ 70 milhões. O resultado é que o fiscalizador poderá aplicar a o Projeto de Lei 2768 contra uma série de empresas muito diferentes, algumas das quais podem realmente não estar em posição de prejudicar a concorrência ou usar indevidamente seu poder de mercado. Como consequência, o Projeto de Lei corre o risco de desencorajar o crescimento, a inovação e, de fato, o sucesso, à medida que as empresas se tornam cautelosas em ultrapassar um certo limite por medo de serem pegas na mira do regulador. Juntamente com uma reversão do ônus da prova e a possibilidade de ignorar argumentos de eficiência, o Projeto de Lei daria ao fiscalizador poderes robustos e não controlados, o que poderia levantar questões do estado democrático de direito.

Este problema pode ser remediado, pelo menos em certa medida, adicionando uma série de critérios qualitativos que podem ou não funcionar cumulativamente com os limites quantitativos previstos no Projeto de Lei. Esses critérios devem exigir uma demonstração de que as empresas em questão controlam o acesso a instalações essenciais, que tais instalações não podem ser razoavelmente replicadas e que o acesso está sendo negado com a ameaça de que a concorrência no mercado possa ser eliminada (consulte a Pergunta 1 para discussão sobre a integração da doutrina de instalações essenciais no Projeto de Lei 2768). Além disso, o Projeto de Lei 2768 deve alavancar as medições existentes do poder de mercado a partir da lei da concorrência, como a capacidade de controlar a produção e aumentar os preços. Os critérios quantitativos, se usados, devem ser significativamente maiores e também se referem ao número de usuários ativos em cada serviço de plataforma coberto. “Usuário ativo” deve, nesse sentido, ser definido como um usuário que usa um serviço específico pelo menos uma vez por dia e, no mínimo, uma vez por semana.

Pergunta 12

O que você achou das regras sobre o Fundo de Fiscalização das Plataformas Digitais do art. 15 do PL 2768/2022? Haveria uma outra forma de financiar este tipo de atividade regulatória do governo?

Existem muitas maneiras de financiar a atividade regulatória governamental que não exigem que as empresas-alvo paguem um imposto anual. As agências governamentais são normalmente financiadas pelo orçamento geral do governo — que deve ser o mesmo para a agência que executa o Projeto de Lei 2768.

Existem pelo menos duas questões sobre a abordagem atual nos termos do Art. 15. A primeira é a captura. Se a atividade de uma agência for financiada pelas empresas reguladas, isso pode levar à captura da agência pela empresa regulada e facilitar a busca de renda — ou seja, a situação em que uma empresa usa o regulador para obter uma vantagem injusta sobre os concorrentes. Em segundo lugar, também cria um incentivo por parte da agência e do governo para ampliar o escopo das empresas-alvo, como forma de garantir mais financiamento e recursos. Isso cria um incentivo perverso que não se alinha ao interesse público. Também desencoraja o investimento e, de certa forma, equivale a um clamor do governo.

Além disso, na medida em que o Projeto de Lei opera como uma restrição direta e direcionada ao exercício por certas empresas de sua liberdade econômica e direitos de propriedade privada para o benefício presumido do bem-estar público, parece apropriado que ele seja financiado por fundos de receita geral, distribuídos de acordo com a política tributária atual sobre toda a população contribuinte.

Pergunta 13

Em que medida você acredita que todos os problemas tratados no projeto de lei 2768/2022 já são adequadamente tratados pela legislação de concorrência, mais especificamente pelo CADE, com os instrumentos da Lei nº 12.529 de 2011?

Consulte a resposta à Pergunta 10.

O fato de o governo estar fazendo essa pergunta nesta fase do processo sugere que talvez o escopo e os detalhes do Projeto de Lei 2768 não tenham sido completamente pensados. O Projeto de Lei 2768 deve ser aprovado apenas se estiver claro que a lei de concorrência brasileira não está à altura da tarefa. Em comparação, e como indicado na resposta à pergunta 10 acima, praticamente toda a conduta na DMA da UE também foi abordada através da lei da concorrência da UE — muitas vezes a favor da Comissão. No entanto, a UE queria codificar um conjunto de regras que garantissem que a Comissão não tivesse que litigar em processos perante os tribunais e vencesse todos os processos — ou pelo menos a grande maioria deles — contra plataformas digitais. Mas essa decisão, com a qual se pode ou não concordar, veio depois de pelo menos alguma experiência na aplicação da lei da concorrência às plataformas digitais e da determinação de que os ganhos de tal abordagem superariam os custos manifestos.

Por outro lado, o CADE do Brasil goza de uma experiência muito mais limitada nesse sentido e o próprio Brasil apresenta realidades econômicas e interesses de consumo muito diferentes que podem não render a mesma análise de custo/benefício. Como mencionado acima, as únicas “penalidades” impostas pelo CADE contra “plataformas digitais” resultaram de acordos voluntários, o que significa que houve uma necessidade limitada de litigar em processos “digitais” no Brasil. Há uma sensação persistente de que o Projeto de Lei 2768 foi proposto não em resposta a deficiências na estrutura da lei da concorrência existente, ou em resposta às necessidades identificadas específicas do Brasil, mas como uma resposta às “tendências globais” iniciadas pela UE.

O Art. 13 do PL 2768, por exemplo, prevê que as incorporações por empresas abrangidas serão examinadas de acordo com as regras gerais da lei da concorrência aplicáveis a outras empresas e em outros setores. Não está claro por que a mesma lógica não poderia ser aplicada em todos os setores — ou seja, a todas as condutas potencialmente contra a concorrência por empresas visadas. Por que algumas condutas que podem ser abordadas por meio da lei antitruste exigem regulamentação especial, mas outras não?

Pergunta 14

Que problemas poderiam ser gerados para a atividade de inovação das plataformas digitais caso haja a regulação de plataformas digitais propostas pelo Projeto de Lei 2768/2022? Isso poderia ser tratado de alguma forma dentro do PL 2768/2022?

De fato, não está de forma alguma claro que as circunstâncias particulares do Brasil sejam passíveis de uma abordagem “ex ante” semelhante à da UE.

Proibições e obrigações amplas, como as impostas pelo Art. 10 do Projeto de Lei 2768, correm o risco de esfriar a conduta inovadora e congelar a tecnologia existente. Como o décimo país classificado no mercado global de tecnologia da informação e com centenas de startups no setor de IA, o Brasil é um mercado em expansão com um tremendo potencial.[52] Sua população de 214 milhões significa que as tendências de crescimento devem continuar — e, com certeza, o número de empregos em aplicativos cresceu 54% em 2023 em comparação com 2019.[53]

No entanto, regras estáticas e rígidas, como as previstas pelo Projeto de Lei 2768, podem cortar o crescimento das startups brasileiras pela raiz, impondo custos regulatórios insuperáveis (que, de qualquer forma, beneficiariam os operadores estabelecidos em comparação com concorrentes menores) e proibindo condutas capazes de promover o crescimento, beneficiar os consumidores e inflamar a concorrência, como a auto preferência e a recusa em negociar.

De fato, ambas as práticas podem — e muitas vezes são — socialmente benéficas. Conforme discutido na Pergunta 8, apesar de sua recente difamação por alguns formuladores de políticas, a “auto preferência” é uma conduta comercial normal e uma razão fundamental para a integração vertical eficiente, que evita a dupla marginalização e permite que as empresas coordenem melhor a produção, distribuição e venda de forma mais eficiente — tudo em benefício final dos consumidores. Por exemplo, serviços de varejo, como a Amazon, que preferem seus próprios serviços de entrega, como no caso de “Entrega pela Amazon”, oferecem aos consumidores algo que eles valorizam tremendamente: uma garantia de entrega rápida. Como escrevemos em outro lugar:

A concessão de privilégios de marketplace pela Amazon a produtos [Entrega pela Amazon] pode ajudar os usuários a escolher os produtos que a Amazon pode garantir que melhor atenderão às suas necessidades. Isso é perfeitamente plausível, pois os clientes mostraram repetidamente que muitas vezes preferem opções menos abertas e menos neutras.[54]

Em um relatório recente, a Comissão Australiana de Concorrência reconheceu esse fato, afirmando que a auto preferência é muitas vezes benigna e pode levar a benefícios pró concorrência.[55] De fato, existem muitas razões legítimas pelas quais as empresas podem optar pela auto preferência, incluindo melhor experiência do cliente, atendimento ao cliente, escolha mais relevante (curadoria) e preços mais baixos.[56] Assim, proibir a auto preferência, ou de outra forma desencorajar significativamente as empresas de se engajarem na auto preferência, poderia prejudicar o crescimento da empresa — inclusive por empresas brasileiras que estão atualmente em um estágio inicial de desenvolvimento — e impedir a entrada de empresas que poderiam ser inovadoras no mercado.

Da mesma forma, forçar as empresas a lidar com terceiros poderia sufocar a inovação, incentivando o efeito carona (free-riding) e desencorajando as empresas a fazer investimentos. De fato, por que uma empresa inovaria ou investiria se sabe que terá que compartilhar esses investimentos e inovações com concorrentes passivos que não assumiram nenhum desses riscos? A consequência é um impasse em que, em vez de lutar para ser o primeiro a inovar e desfrutar dos frutos gerados por essa inovação, as empresas são incentivadas a jogar com o sistema, esperando que os outros deem o primeiro passo para, em seguida, aproveitar as conquistas. Isso essencialmente inverte o processo de concorrência dinâmica, reorganizando artificialmente o incentivo à inovação e ao investimento versus o incentivo ao free-ride, reduzindo os benefícios do primeiro e aumentando os benefícios do segundo.

Seria catastrófico criar uma barreira na capacidade do Brasil de expandir seu setor de tecnologia e inovar — especialmente considerando o vasto potencial do país. De fato, em vez de um triunfo da regulamentação sobre a inovação, o Brasil deve se esforçar para ser exatamente o oposto.[57]

Pergunta 15

Quais seriam as dificuldades práticas de aplicação deste tipo de legislação contemplado pelo PL 2768/2022?

Os fundos para financiar o que poderia ser uma quantidade considerável de execução são necessários, mas não suficientes, para garantir a eficácia. Na UE, a DG Concorrência da Comissão, uma das principais e mais bem dotadas autoridades de concorrência do mundo, luta para contratar o pessoal necessário para implementar a Lei dos Mercados Digitais. Em suma, os “especialistas em DMA” atualmente não existem — e a Comissão terá que treinar esses especialistas ou contratá-los quando a experiência se desenvolver por meio da aplicação da lei. Mas isso cria um cenário de galinha e ovo, em que a fiscalização — ou pelo menos uma boa fiscalização — não pode acontecer sem bons especialistas, e bons especialistas não podem se materializar sem fiscalização. Não há razão para acreditar que essas considerações não se enquadram no contexto brasileiro.

O Brasil, no entanto, enfrenta um desafio adicional: atrair talentos. Ao contrário da UE, onde os cargos na Comissão são altamente cobiçados devido aos altos salários, benefícios e segurança no emprego que conferem, os recursos do CADE são mais modestos e provavelmente não podem competir plenamente com o setor privado. Assim, antes de aprovar o Projeto de Lei 2768, o governo deve ser claro sobre como a lei seria aplicada e por quem.

Outras questões incluem o pesado ônus de conformidade do Projeto de Lei, que afetará não apenas os chamados “gigantes da tecnologia”, mas qualquer empresa acima do modesto limite de faturamento de R$ 70 milhões, as dificuldades em interpretar as proibições e obrigações ambíguas previstas no Art. 10 (e o litígio que pode ocorrer, vide Pergunta 16), o custo de elaboração de recursos adequados na acepção do Art. 10 e a possibilidade iminente de que o Projeto de Lei capture a conduta pró concorrência e sufoque a inovação. Como escrevemos com relação aos países da ASEAN e à possibilidade de implementar a regulamentação da concorrência no estilo da UE:

As nações da ASEAN têm políticas extremamente diversas em relação ao papel do governo na economia. Simplificando, algumas das nações da ASEAN parecem inadequadas para a tecnocracia de longo alcance que quase inevitavelmente flui da adoção do modelo europeu de fiscalização da concorrência. Outros podem simplesmente não ter recursos suficientes para agências de pessoal que poderiam, satisfatoriamente, realizar o tipo de investigação de longo alcance pelas quais a Comissão Europeia é famosa.[58]

Pergunta 16

Você vê muito espaço para judicialização deste tipo de regulação previsto no PL 2768/2022? Em quais dispositivos?

A aplicação do Projeto de Lei 2768 provavelmente levará a litígios substanciais, até porque muitos dos conceitos centrais do Projeto de Lei são ambíguos e abertos à interpretação.

Por exemplo, o que implica uma conduta “discriminatória” na acepção do Art. 10, parágrafo II? Uma plataforma coberta pode tratar os usuários de negócios de forma diferente com base em critérios objetivos, como qualidade, histórico e confiabilidade, ou todos os usuários de negócios devem ser tratados igualmente? Nesse sentido, é incerto se o significado específico atribuído a “conduta discriminatória” no âmbito da lei da concorrência se aplica no contexto. Da mesma forma, o que significa o uso “adequado” dos dados coletados no exercício das atividades de uma empresa (parágrafo III)? O parágrafo IV do Art. 10 implica que uma plataforma coberta nunca pode negar acesso a usuários comerciais? Presumivelmente, as plataformas cobertas vão querer saber como e por que essa obrigação geral se desvia da doutrina de instalações essenciais mais restritas nos termos da lei de concorrência brasileira.

O Art. 11 acrescenta certas ressalvas a isso, como que a intervenção deve ser adaptada, proporcional e considerar o impacto, os custos e os benefícios. Novamente, que tipo de impacto, custos e benefícios são relevantes — para consumidores, usuários comerciais, a plataforma coberta, a sociedade como um todo?

Se isso for verdade, é provável que o Projeto de Lei 2768 seja legalmente controverso.

Pergunta 17

As definições do art. 6º do projeto de lei 2768/2022 estão adequadas para o propósito desta proposição?

O Art. 6º e, de fato, todo o ímpeto por trás do Projeto de Lei 2768 se baseiam em duas premissas questionáveis:

  1. Que os produtos e serviços cobertos são diferentes de outros produtos ou serviços; e

Que esses produtos e serviços são suficientemente semelhantes para serem considerados (e regulamentados) como um grupo.

O primeiro seria mais convincente se os recursos previstos no PL, como não discriminação, uso adequado de dados e acesso, não tivessem sido utilizados anteriormente em outros mercados e para outros produtos. A concessão de acesso em termos “justos, razoáveis e não discriminatórios” (“FRAND”) é frequentemente usada no contexto da lei de concorrência e da lei de PI, ambas aplicáveis em todos os setores. O dever de usar os dados “adequadamente” é geralmente previsto nas leis de proteção de dados, que também se aplicam amplamente. O mesmo pode ser dito para as obrigações de acesso, que são frequentes nos termos da lei da concorrência e em indústrias regulamentadas (como telecomunicações ou ferrovias).

Além disso, nem os produtos e serviços do Art. 6º do PL, as empresas que os operam, nem os modelos de negócios que empregam são monolíticos. Assistentes de voz e mídias sociais, por exemplo, são produtos muito diferentes. Isso também pode ser dito sobre a computação em nuvem, que não é realmente uma “plataforma” no sentido de que, digamos, a intermediação é online. Os produtos e serviços no Art. 6 também são altamente heterogêneos, com uma única categoria abrangendo uma lista heterogênea de produtos, de comércio eletrônico a mapas on-line e lojas de aplicativos.

O mesmo argumento se aplica às empresas que vendem esses produtos e serviços, que — apesar do onipresente apelido de “Gigantes da Tecnologia” — são, em última análise, empresas muito diferentes.[59] Como disse o CEO da Apple, Tim Cook: “A tecnologia não é monolítica. Isso seria como dizer que “Todos os restaurantes são iguais” ou “Todas as redes de TV são iguais”. ”[60]

Por exemplo, enquanto o Google (Alphabet) e o Facebook (Meta) são empresas de tecnologia da informação especializadas em publicidade online, a Apple continua sendo principalmente uma empresa de eletrônicos, com cerca de 75% de sua receita proveniente da venda de iMacs, iPhones, iPads e acessórios. Como Amanda Lotz, da Universidade de Michigan, observou:

Os lucros dessas vendas de [hardware] permitem que a Apple use estratégias muito diferentes das empresas não relacionadas a hardware [“Gigantes da Tecnologia”] com as quais é frequentemente comparada.[61]

Isso também significa que a maioria de seus outros negócios — como iMessage, iTunes, Apple Pay, etc. — são complementos que “a Apple usa estrategicamente para apoiar seu foco principal como empresa de hardware”. A Amazon, por outro lado, é principalmente uma varejista, com suas divisões Amazon Web Services e de publicidade respondendo por apenas 15% e 7% da receita da empresa, respectivamente.[62]

Mesmo quando dois “gatekeepers” estão ativos no mesmo mercado de produtos/serviços, eles geralmente têm modelos e práticas de negócios notavelmente diferentes. Assim, apesar de ambos venderem sistemas operacionais para celulares, o Android (Google) e a Apple empregam filosofias de design de produtos muito diferentes. Como argumentamos em um instrumento amicus curiae apresentado no mês passado à Suprema Corte dos EUA no processo Apple v. Epic Games:

Para a Apple e seus usuários, a referência de uma boa plataforma não é a “abertura”, mas a seleção e a segurança cuidadosamente aplicadas, entendidas em termos gerais como se abrangessem a remoção de conteúdo questionável, a proteção da privacidade e a proteção contra a “engenharia social”, e assim por diante…. Por outro lado, a aposta do Android é no modelo de plataforma aberta, que sacrifica algum grau de segurança pela maior variedade e personalização associadas a uma distribuição mais aberta. Essas são diferenças legítimas no design do produto e na filosofia de negócios.[63]

Essas várias empresas e mercados têm diversos incentivos, estratégias e designs de produtos, desmentindo, portanto, a ideia de que existe qualquer noção econômica e tecnicamente coerente do que compreende “gatekeeping”. Em outras palavras, tanto os produtos e serviços que estariam sujeitos ao Art. 6º do PL 2768 quanto essas próprias empresas são altamente heterogêneos e não está claro por que eles são colocados sob o mesmo aspecto.

Pergunta 18

Em lugar de uma regulação ex-ante pura, faria sentido algum outro tipo de acompanhamento e/ou regulação dos mercados digitais?

Uma unidade especial dentro do CADE, operando dentro dos limites das leis antitruste atuais, deve ser seriamente avaliada antes de se apressar para adotar uma regulamentação ex ante de longo alcance nos mercados digitais. A maior parte da conduta abrangida pela regulamentação ex ante na UE, por exemplo, é derivada de processos envolvendo o direito da concorrência. Isto sugere que tal conduta se enquadra nos limites do direito tradicional da concorrência e pode ser devidamente abordada através do direito da concorrência da UE.

Consequentemente, uma unidade digital dentro do CADE alavancaria o expertise de funcionários com experiência na aplicação da lei antitruste aos “mercados digitais”. As chances são de que, se tal unidade não puder ser formada dentro do CADE, que possui funcionários com a experiência que mais se assemelha ao que seria necessário para fazer cumprir o Projeto de Lei 2768, provavelmente não poderá ser formada em nenhum outro lugar — pelo menos não sem desviar talentos do CADE. Isso seria um erro, pois o CADE tem um papel essencial na supressão de comportamentos que prejudicam inequivocamente o interesse público, como os cartéis (indiscutivelmente, é aí que o Brasil deveria concentrar seus recursos).[64] A criação de uma nova unidade para processar novas condutas com efeitos incertos sobre o bem-estar social em detrimento da supressão de condutas manifestamente prejudiciais não passa por uma análise de custo-benefício e, em última análise, prejudicaria a economia do Brasil.

Pergunta 19

Você acha que o conjunto de soluções descritas no art. 10 do PL 2768/2022 são adequadas?

É difícil responder a essa pergunta sem uma noção clara do que o Projeto de Lei 2768 visa alcançar. Adequado para quê?

Pergunta 20

O conjunto de sanções previstas no art. 16 do PL 2768/2022 está adequado?

Também difícil de responder. Se o objetivo é frustrar todas as condutas proibidas, independentemente das consequências para a inovação, o investimento e a satisfação do consumidor, então é necessária uma multa alta — e muitas empresas deixarão de fazer negócios como resultado (o que efetivamente interromperá todo comportamento indesejável – mas também todo comportamento desejável). Se aumentar a receita é o objetivo, então a quantidade de fiscalização vezes o nível de sanção precisa ser baixa o suficiente para operar não como um obstáculo ao comportamento, mas como uma taxa para fazer negócios. Não sabemos se o nível de sanções no Art. 16 é apropriado para isso — nem, acrescentamos, se essa é a intenção de tal lei!

Por outro lado, se a dissuasão ideal é o objetivo, a imposição de sanções consideravelmente mais baixas do que as da UE (como seria uma sanção de 2% do faturamento brasileiro das empresas infratoras) parece razoável. Multas por infrações antitruste na UE podem ser de até 10% do faturamento mundial da empresa; e multas por violações do DMA podem chegar a 20%.[65] Mas o Brasil não deve procurar dissuadir o investimento e a inovação na medida em que a UE o fez.

É claro que é difícil identificar um nexo de causalidade entre multas de concorrência e investimento/inovação. Mas o que sabemos é o seguinte: O ritmo de crescimento econômico na Europa ficou atrás dos EUA por uma margem significativa:

Quinze anos atrás, o tamanho da economia europeia era 10% maior que o dos EUA, no entanto, em 2022, era 23% menor. O PIB da União Europeia (incluindo o Reino Unido antes do Brexit) cresceu neste período em 21% (medido em dólares), em comparação com 72% dos EUA e 290% da China.[66]

Enquanto isso, nenhuma das 10 maiores empresas de tecnologia do mundo, e apenas duas das 25 maiores, estão sediadas na Europa.[67] E as grandes multinacionais americanas e asiáticas estão espalhadas por toda a indústria de tecnologia, desde componentes eletrônicos (chips, telefones celulares e computadores) até empresas de desenvolvimento de aplicativos, sites e comércio eletrônico. Pode haver muitas razões para essas discrepâncias, mas uma delas é quase certamente as diferenças nos ambientes regulatórios econômicos, incluindo a extensão da dissuasão da lei da concorrência.[68]

Pergunta 21

O art. 10 prevê várias obrigações em uma lista não taxativa na qual o regulador poderia impor outras medidas. Caberia prever um rol taxativo de medidas?

Listas exaustivas têm a vantagem de promover a previsibilidade e a discrição do fiscalizador, limitando assim a busca de renda e garantindo que a execução permaneça vinculada ao interesse público. Supondo, é claro, que o tipo de medidas previstas atue no interesse público em primeiro lugar.

O problema de como o Projeto de Lei 2768 é enquadrado em seu estado atual é que ele é muito aberto. É compreensível que o Projeto de Lei 2768 não queira amarrar as mãos dos fiscalizadores e tenha optado por intervenções sob medida, em vez de proibições e obrigações gerais. Isso é bom. No entanto, não deve vir à custa da segurança jurídica e não deve deixar de impor limites ao poder discricionário do fiscalizador. Atualmente, isso não parece ser o caso.

O Art. 10 prevê, assim, que os operadores de plataforma estarão sujeitos “entre outras, às seguintes obrigações…” Não está claro, a partir desta lista numerus apertus, o que o fiscalizador pode e não pode fazer. Mas o problema é mais profundo do que apenas o Artigo 10; em nenhum lugar do Projeto de Lei é explicado quais são os objetivos das novas regras. A proposta de reformulação do Artigo 19-A da Lei 9.472, de 16 de julho de 1997, nos parágrafos III, IV e V, é vaga – não impõe princípios limitantes suficientemente claros que estejam ao alcance do Projeto de Lei. De fato, sugere que os objetivos do Projeto de Lei 2768 seriam prevenir conflitos de interesse, prevenir violações de direitos do usuário e prevenir infrações econômicas por plataformas digitais em áreas de competência do CADE. O Artigo 4º do PL 2768 inclui outros objetivos: liberdade de iniciativa, livre concorrência, defesa do consumidor, redução da desigualdade regional e social, repressão ao poder econômico e reforço à participação social. Em outros pontos, está implícito que o objetivo é diminuir o “poder de gatekeeper” (em “Justificativas”).

Em outras palavras, não está claro o que o Projeto de Lei 2768 não permite que o fiscalizador faça.

Além disso, as proibições e obrigações dos Parágrafos I-IV do Art. 10 são igualmente obscuras. Por exemplo, qual é o uso “adequado” dos dados coletados? (III). O parágrafo IV implica que uma plataforma direcionada nunca pode recusar o acesso ao seu serviço? Na verdade, uma coisa que está faltando no Projeto de Lei 2768 é a capacidade de escapar de uma proibição ou obrigação, demonstrando eficiências ou por meio de uma justificativa objetiva (como, por exemplo, segurança e proteção ou privacidade).

Claramente, o Projeto de Lei 2768 não pode prever todos os casos em que o Art. 10 será usado. Contudo, a fim de encontrar um equilíbrio entre a agilidade do fiscalizador e a administração e previsibilidade da lei, ele precisa dar uma explicação mais focada dos objetivos do Projeto de Lei e como as disposições do Art. 10 ajudam a alcançá-los. Em outras palavras: Os Artigos 3, 4 e 10 precisam ser muito mais claros. Caso contrário, o Projeto de Lei corre o risco de mais prejudicar do que ajudar empresas-alvo, usuários comerciais, concorrentes e, em última análise, os consumidores. A seção “Justificativas” do Projeto de Lei afirma que não deseja impor uma “camisa de força” às empresas visadas por meio da imposição de regras ex ante rígidas. Isso é razoável, especialmente considerando a falta de provas de danos inequívocos. Mas conceder a um fiscalizador como a Anatel, que não tem experiência em “mercados digitais”, poderes amplamente definidos para intervir com base em objetivos igualmente amplos equivale a impor uma camisa de força com outro nome. Em um “cenário” regulatório em que as empresas nunca têm certeza do que é e do que não é permitido, algumas podem razoavelmente optar por não assumir riscos, inovar e trazer novos produtos ao mercado – porque não desejam correr o risco de estarem sujeitas a multas (Art. 16) e possíveis soluções estruturais, como rupturas (Art. 10, parágrafo único). Em outras palavras, eles podem assumir que muito mais é proibido do que é realmente proibido.

 

[1] PL 2768/2022, Dispõe sobre a organização, o funcionamento e a operação das plataformas digitais que oferecem serviços ao público brasileiro e dá outras providências, available at https://www.camara.leg.br/proposicoesWeb/fichadetramitacao?idProposicao=2337417.

[2] REGULAMENTO (EU) 2022/1925 DO PARLAMENTO EUROPEU E DO CONSELHO de14 de setembro de 2022 relativo à disputabilidade e equidade dos mercados no setor digital e que altera as Diretivas (UE) 2019/1937 e (UE) 2020/1828 (Regulamento dos Mercados Digitais).

[3] Processo C-7/97 Bronner, EU:C:1998:569.

[4] Vide, por exemplo, a decisão majoritária da Comissária Ana Frazão no Processo nº 08012.003918/2005-14 (Requerida: Telemar Norte Leste S.A.), parágrafos 60-62, https://tinyurl.com/4dc38vvk.

[5] Vide decisão majoritária relatada do Comissário Mauricio Maia no Processo Administrativo nº 08012.010483/2011-94 (Requeridas: Google Inc. e Google Brasil Internet Ltda.), parágrafos 180-94; 224-42, https://tinyurl.com/3c9emytw.

[6] Um relatório de 2021 do IBRAC identificou a alta taxa de entrada no mercado de plataformas de vendas on-line. Vide IBRAC, Revista do Revista do IBRAC Número 2-2021, disponível em https://ibrac.org.br/UPLOADS/PDF/RevistadoIBRAC/Revista_do_IBRAC_2_2021.pdf.

[7] Bronner, Par. 67.

[8] Vide Colangelo, G. (2022). The Digital Markets Act and EU Antitrust Enforcement: Double & Triple Jeopardy, ICLE White Paper, disponível em: https://laweconcenter.org/resources/the-digital-markets-act-and-eu-antitrust-enforcement-double-triple-jeopardy.

[9] CADE, Mercados de Plataformas Digitais, SEPN 515 Conjunto D, Lote 4, Ed. Carlos Taurisano CEP: 70.770-504 – Brasília/DF, disponível em https://cdn.cade.gov.br/Portal/centrais-de-conteudo/publicacoes/estudos-economicos/cadernos-do-cade/Caderno_Plataformas-Digitais_Atualizado_29.08.pdf.

[10] Sobre a noção de que as regras do estilo DMA são “leis de concorrência específicas do setor”, vide Nicolas Petit, The Proposed Digital Markets Act (DMA): A Legal and Policy Review, 12 J. Eur. Compet. Law & Pract. 529 (11 Maio 2021).

[11] Vide Verizon Communications, Inc. v. Law Offices of Curtis V. Trinko, LLP, 540 U.S. 398 (2003). “Obrigar essas empresas a compartilhar a fonte de sua vantagem tensiona, de alguma forma, o propósito subjacente da lei de defesa da concorrência, uma vez que pode diminuir o incentivo para o monopolista, o rival ou ambos investirem nessas instalações economicamente benéficas.”

[12] Hou, L. (2012). The Essential Facilities Doctrine – What Was Wrong in Microsoft? International Review of Intellectual Property and Competition Law, 43(4), 251-71, 260.

[13] Vide Williamson, O.E., The Vertical Integration of Production: Market Failure Considerations, 61 Am. Econ. Rev. 112/1971); Klein, B., Asset Specificity and Holdups, em The Elgar Companion to Transaction Cost Economics, PG Klein & M. Sykuta, eds. (Edward Elgar Publishing, 2010), 120–126.

[14] Decisão da Comissão nº AT.39740 — Google Search (Shopping).

[15] A. Hoffman, Where Does Website Traffic Come From: Search Engine and Referral Traffic, Traffic Generation Café (25 Dezembro 2018), https://trafficgenerationcafe.com/website-traffic-source-search-engine-referral.

[16] Vide Manne, G., Against the vertical discrimination presumption (Maio 2020), Concurrences N° 2-2020, Art. N° 94267, https://www.concurrences.com/en/review/numeros/no-2-2020/editorial/foreword.

[17] Sobre a necessidade de cautela ao conceder um direito de acesso, vide, por exemplo, Trinko: “Temos sido muito cautelosos ao reconhecer essas exceções [ao direito de [um] comerciante ou fabricante envolvido em um negócio inteiramente privado, de livremente exercer seu próprio critério independente quanto às partes com as quais ele negociará], devido à característica incerta de compartilhamento forçado e à dificuldade de identificar e remediar condutas contra a concorrência por uma única empresa.”

[18] United States v. Aluminum Co. of America, 148 F.2d 416, 430 (2d Cir. 1945).

[19] “Assim, como uma questão geral, a Lei Sherman ‘não restringe o direito reconhecido há muito tempo de [um] comerciante ou fabricante envolvido em um negócio inteiramente privado, de livremente exercer seu próprio critério independente quanto às partes com as quais ele negociará.’” United States v. Colgate & Co., 250 U. S. 300, 307 (1919).

[20] Foremost Pro Color, Inc. v. Eastman Kodak Co., 703 F.2d 534, 545 (9th Cir. 1983) (citações omitidas).

[21] Vide Manne, G. & B. Sperry, Debunking the Myth of a Data Barrier to Entry for Online Services. Truth on the Market (26/03/2015), disponível em: https://truthonthemarket.com/2015/03/26/debunking-the-myth-of-a-data-barrier-to-entry-for-online-services; Manne, G. & B. Sperry (2014). The Law and Economics of Data and Privacy in Antitrust Analysis, 2014 TPRC Conference Paper, disponível em: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2418779.

[22] Vide geralmente, Grunes, A. & M. Stucke (2016). Big Data and Competition Policy. Oxford University Press, Oxford; Newman, N. (2014). Antitrust and the Economics of the Control of User Data. Yale Journal on Regulation, 30:3.

[23] Vide os exemplos discutidos em Manne, G. & B. Sperry, Debunking the Myth of a Data Barrier to Entry for Online Services. Truth on the Market (26 Março 2015), disponível em: https://truthonthemarket.com/2015/03/26/debunking-the-myth-of-a-data-barrier-to-entry-for-online-services.

[24] Lerner, A. (2014). The Role of ‘Big Data’ in Online Platform Competition, disponível em: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2482780.

 

 

[25] Bowman, S. & G. Manne, Platform Self-Preferencing can be Good for Consumers and even Competitors, Truth on the Market (4 Março 2021), disponível em: https://truthonthemarket.com/2021/03/04/platform-self-preferencing-can-be-good-for-consumers-and-even-competitors.

[26] C. Goujard, Google forced to postpone Bard chatbot’s EU launch over privacy concerns, Politico (13 Junho 2023), disponível em: https://www.politico.eu/article/google-postpone-bard-chatbot-eu-launch-privacy-concern.

[27] M. Kelly, Here ‘s why Threads is delayed in Europe, The Verge (10 Julho 2023), disponível em: https://www.theverge.com/23789754/threads-meta-twitter-eu-dma-digital-markets.

[28] Musk considers removing X platform from Europe over EU law, Euractiv (19 Outubro 2023), disponível em: https://www.euractiv.com/section/platforms/news/musk-considers-removing-x-platform-from-europe-over-eu-law.

[29] Jud, M. Still no Copilot in Europe: Microsoft Rolls out 23H2 Update, Digitec.ch (10 Novembro 2023), disponível em: https://www.digitec.ch/en/page/still-no-windows-copilot-in-europe-microsoft-rolls-out-23h2-update-30279.

[30] The Future is Bright for Latin American Startups, The Economist (13 Novembro 2023), disponível em: https://www.economist.com/the-world-ahead/2023/11/13/the-future-is-bright-for-latin-american-startups.

[31] Vide Distrito (2023), Panorama Tech América Latina, disponível em: https://static.poder360.com.br/2023/09/latam-report-1.pdf.

[32] O seguinte é adaptado do processo Manne, G., Against the vertical discrimination presumption (Maio 2020), Concurrences N° 2-2020, Art. N° 94267, https://www.concurrences.com/en/review/numeros/no-2-2020/editorial/foreword e nossos comentários sobre a proposta de Projeto de Lei de Mercados Digitais, Concorrência e Consumidores do Reino Unido (“DMCC”): Auer, D., M. Lesh & L. Radic (2023). Digital Overload: How the Digital Markets, Competition and Consumers Bill ‘s sweeping new powers threaten Britain’ s economy, IEA Perspectives 4, 16-21, disponível em: https://iea.org.uk/wp-content/uploads/2023/09/Perspectives_4_Digital-overload_web.pdf.

[33] H. Singer, How Big Tech Threatens Economic Liberty, The Am. Conserv. (7 Maio 2019), https://www.theamericanconservative.com/articles/how-big-tech-threatens-economic-liberty.

[34] A maioria dessas teorias, deve-se notar, ignora a literatura de estratégia relevante e abundante sobre a complexidade da dinâmica da plataforma. Vide, por exemplo, J. M. Barnett, The Host ‘s Dilemma: Strategic Forfeiture in Platform Markets for Informational Goods, 124 Harv. L. Rev. 1861 (2011); D. J. Teece, Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy, 15 Res. Pol’y 285 (1986); A. Hagiu & K. Boudreau, Platform Rules: Multi-Sided Platforms as Regulators, in Platforms, Markets and Innovation, A. Gawer, ed. (Edward Elgar Publishing, 2009); K. Boudreau, Open Platform Strategies and Innovation: Granting Access vs. Devolving Control, 56 Mgmt. Sci. 1849 (2010).

[35] Para exemplos desta literatura e uma breve discussão de suas descobertas, vide Manne, G., Against the vertical discrimination presumption, maio de 2020, Concurrences N° 2-2020, Art. N° 94267, https://www.concurrences.com/en/review/numeros/no-2-2020/editorial/foreword.

[36] International Center for Law & Economics (2022). International Center for Law & Economics Amicus Curiae Brief submetido ao Tribunal Federal de Recursos da Nona Circunscrição 20-21. https://tinyurl.com/ywu553vb.

[37] Vide, em geral, Hagiu & Boudreau, Platform Rules: Multi-Sided Platforms as Regulators, supra note 31; Barnett, The Host’s Dilemma, supra note 31.

[38] Barnett, J., id.

[39] Vide Radic, L. and G. Manne (2022) Amazon Italy’s Efficiency Offense. Truth on the Market (11 Janeiro 2022), https://tinyurl.com/2uht4fvw.

[40] Apresentado como Projeto de Lei 294 (2022-23), atualmente Projeto de Lei HL 12 (2023-24), Digital Markets, Competition and Consumers Bill, disponível em https://bills.parliament.uk/bills/3453.

[41] Farrell, J., & P. Klemperer (2007). Coordination and Lock-In: Competition with Switching Costs and Network Effects, Handbook of Industrial Organization 3, 1967-2072, disponível em https://www.sciencedirect.com/science/article/abs/pii/S1573448X06030317.

[42] Projeto de Lei 2768, “Justificativas”. Vide também Wu, T. (2018). The Curse of Bigness: Antitrust in the New Gilded Age, Columbia Global Reports.

[43] Colangelo, G. (2022). The Digital Markets Act and EU Antitrust Enforcement: Double & Triple Jeopardy, ICLE White Paper 2022-03-23, disponível em https://laweconcenter.org/wp-content/uploads/2022/03/Giuseppe-Double-triple-jeopardy-final-draft-20220225.pdf.

[44] Vide também Caffarra, C. e F. Scott Morton, The European Commission Digital Markets Act: A Translation, Vox EU (5 Janeiro 2021), disponível em: https://voxeu.org/article/european-commission-digital-markets-act-translation.

[45] How National Competition Agencies Can Strengthen the DMA, European Competition Network (22 Junho 2021), disponível em: https://ec.europa.eu/competition/ecn/DMA_joint_EU_NCAs_paper_21.06.2021.pdf.

[46] Para ver estudo completo, consulte https://cdn.cade.gov.br/Portal/centrais-de-conteudo/publicacoes/estudos-economicos/documentos-de-trabalho/2018/documento-de-trabalho-n01-2018-efeitos-concorrenciais-da-economia-do-compartilhamento-no-brasil-a-entrada-da-uber-afetou-o-mercado-de-aplicativos-de-taxi-entre-2014-e-2016.pdf.

[47] Para uma visão detalhada das decisões do CADE sobre plataformas digitais e serviços de pagamentos, acesse: https://cdn.cade.gov.br/Portal/centrais-de-conteudo/publicacoes/estudos-economicos/cadernos-do-cade/mercado-de-instrumentos-de-pagamento-2019.pdf; https://cdn.cade.gov.br/Portal/centrais-de-conteudo/publicacoes/estudos-economicos/cadernos-do-cade/Caderno_Plataformas-Digitais_Atualizado_29.08.pdf.

[48] Vide, por exemplo, Epic Games, Inc. v. Apple Inc. 20-cv-05640-YGR.

[49] Staats, J. L., & G. Biglaiser (2012). Foreign Direct Investment in Latin America: The Importance of Judicial Strength and Rule of Law. International Studies Quarterly, 56(1), 193–202. https://doi.org/10.1111/j.1468-2478.2011.00690.x.

 

[50] HL Bill 12 (2023-24), Digital Markets, Competition and Consumers Bill, disponível em https://bills.parliament.uk/bills/3453.

[51] Auer, D., M. Lesh, & L. Radic (2023). Digital Overload: How the Digital Markets, Competition and Consumers Bill’s sweeping new powers threaten Britain’s economy, IEA Perspectives 4, 16-21, disponível em: https://iea.org.uk/wp-content/uploads/2023/09/Perspectives_4_Digital-overload_web.pdf.

[52] Vide Dailey, M. Why the US. Rejected European Style Digital Markets Regulation: Considerations for Brazil’s Tech Landscape, Progressive Policy Institute (2 Outubro 2023), pp 5-6, disponível em: https://www.progressivepolicy.org/wp-content/uploads/2023/10/PPI-Brazil-EU-Tech.pdf.

[53] Ibid.

[54] Vide Radic, L. and G. Manne (2022) Amazon Italy’s Efficiency Offense. Truth on the Market (11 Janeiro 2022), disponível em https://tinyurl.com/2uht4fvw.

[55] ACCC, Digital Platform Services Inquiry, Discussion Paper for Interim Report No. 5: Updating competition and consumer law for digital platform services (Fevereiro 2022), disponível em https://www.accc.gov.au/system/files/Digital%20platform%20services%20inquiry.pdf.

[56] Bowman, S. & G. Manne, Platform Self-Preferencing Can Be Good for Consumers and Even Competitors, Truth on the Market (4 Março 2021), disponível em: https://laweconcenter.wpengine.com/2021/03/04/platform-self-preferencing-can-be-good-for-consumers-and-even-competitors.

[57] Vide Portuese, A. The Digital Markets Act: A Triumph of Regulation Over Innovation, ITIF Schumpeter Project (2 Agosto 2022), disponível em: https://itif.org/publications/2022/08/24/digital-markets-act-a-triumph-of-regulation-over-innovation.

 

[58] Auer, D., G. Manne & S. Bowman (2022). Should ASEAN Antitrust Laws Emulate European Competition Policy?. Singapore Economic Review 67(5) 1637–1697, 1687.

[59]Vide Lotz, A. ‘Big Tech’ isn’t a monolith. It’s 5 companies, all in different businesses, Houston Chronicle (26 Março 2018), disponível em: https://www.houstonchronicle.com/techburger/article/Big-Tech-isn-t-a-monolith-It-s-5-companies-12781761.php; vide também Chaiehloudj, W. & Petit, N. On Big Tech and The Digital Economy, Competition Forum (11 Janeiro 2021), disponível em: https://competition-forum.com/on-big-tech-and-the-digital-economy-interview-with-professor-nicolas-petit.

[60] Asher Hamilton, I. Tim Cook says he’s tired of big tech being painted as a ‘monolithic’ force that needs tearing apart, Business Insider (7 Maio 2019), disponível em: https://www.businessinsider.com/apple-ceo-tim-cook-tired-of-big-tech-being-viewed-as-monolithic-2019-5.

[61] Lotz, A. ‘Big Tech’ isn’t a monolith. It’s 5 companies, all in different businesses, Houston Chronicle (26 Março 2018), disponível em: https://www.houstonchronicle.com/techburger/article/Big-Tech-isn-t-a-monolith-It-s-5-companies-12781761.php.

[62] G. Cuofano, Amazon Revenue Breakdown, Four Week MBA (10 Agosto 2023), disponível em: https://fourweekmba.com/amazon-revenue-breakdown.

[63] International Center for Law and Economics (2022). International Center for Law & Economics Amicus Curiae Brief submitted to the U.S. Supreme Court, https://laweconcenter.org/wp-content/uploads/2023/11/ICLE-Amicus-Apple-v-Epic-SCt-10.27.23-FINAL.pdf.

[64] See Zúñiga, M. Latin America Should Follow Its Own Path on Digital-Markets Competition, Truth on the Market (7 Novembro 2023) disponível em: https://truthonthemarket.com/2023/11/07/latin-america-should-follow-its-own-path-on-digital-markets-competition.

[65] No entanto, como apontado na Pergunta 10, há um risco de bis in idem, considerando que algumas das condutas capturadas pelo Projeto de Lei 2768 também podem estar cobertas pela lei de concorrência brasileira. Nesses casos, os 2% seriam agravados pelas penalidades previstas na Lei 12.529/11, a lei de concorrência brasileira, e o nível poderia facilmente ser muito alto.

[66] Weekly Foreign Policy Report No. 1329: A Europe vassal to the US?, Política Exterior (26 Junho 2023) https://www.politicaexterior.com/articulo/una-europa-vasalla-de-eeuu.

[67] Vide, por exemplo, 100 Biggest Technology Companies in the World, Yahoo Finance (23 Agosto 2023), disponível em: https://finance.yahoo.com/news/100-biggest-technology-companies-world-175211230.html.

[68] Vide, por exemplo, Weekly Foreign Policy Report No. 1329: A Europe vassal to the US?, Política Exterior (26 Junho 2023) https://www.politicaexterior.com/articulo/una-europa-vasalla-de-eeuu.

Regulatory Comments

The View From Brazil: A TOTM Q&A with Mariana Tavares de Araujo

How did you come to be interested in the regulation of digital markets?

Prior to joining Levy & Salomão Advogados, I worked with the Brazilian government for nine years, four of which I served as head of the government agency in charge of antitrust enforcement and consumer protection policy. During this time, I was very lucky to participate in the early beginnings of the policy discussions on the need for enforcement in digital markets. Also, for a long time, this has been a very popular dinner conversation topic at home: my husband is in the software business and my stepdaughter is a computer engineer.

Read the full piece here.

TOTM

Canada

ICLE Comments to the Canadian Competition Bureau on Algorithmic Pricing and Competition

Introduction

We thank the Government of Canada and the Canadian Competition Bureau for the opportunity to comment on the discussion paper “Algorithmic Pricing and Competition.”[1] The International Center for Law & Economics (ICLE) is a nonprofit, nonpartisan global research and policy centre founded with the goal of building the intellectual foundations for sensible, economically grounded policy. ICLE promotes the use of law & economics methodologies to inform public policy debates and has longstanding expertise in the evaluation of competition law and policy. ICLE’s interest is to ensure that competition law remains grounded in clear rules, established precedent, a record of evidence, and sound economic analysis.

In its ongoing efforts to ensure that competition law remains tethered to sound principles of economics, law, and due process, ICLE has engaged extensively with algorithmic-pricing issues across jurisdictions. We have filed amicus briefs in leading U.S. cases, including Gibson v. Cendyn[2] and Cornish-Adebiyi v. Caesars,[3] arguing against overly broad theories of algorithmic collusion.

The consultation’s focus on algorithmic pricing raises important questions about how competition policy should adapt to technological change. In our view, the fundamental challenge is not the technology itself but ensuring that enforcement remains grounded in economic effects, rather than formalistic assumptions about how pricing algorithms operate. As former aptly noted by Maureen Ohlhausen, former chair of the U.S. Federal Trade Commission (FTC), we should evaluate automated business practices by asking whether they would be legal if performed manually. Ohlhausen’s “guy named Bob” test provides a useful heuristic that Canadian authorities should embrace.[4]

Our comments focus primarily on the following aspects of algorithmic pricing:

  1. The economic effects of algorithmic pricing, including both efficiencies and potential harms;
  2. The application of existing legal frameworks to concerns about algorithmic collusion;
  3. The distinction between conscious parallelism and actual agreement in algorithm-mediated markets;
  4. The role of market structure in determining competitive effects; and
  5. The importance of preserving incentives for innovation while addressing legitimate competition concerns.

The competitive effects of algorithmic pricing depend on three key factors: market structure, software design, and implementation methods. Algorithmic adoption can facilitate coordinated outcomes, but it also offers consumer benefits through improved capacity utilization and dynamic pricing. The same technology that intensifies price competition in some contexts can dampen it in others. These findings underscore that technology amplifies existing market characteristics, rather than fundamentally altering competitive dynamics. Those markets that are susceptible to tacit coordination with human decisionmakers remain problematic with algorithms; competitive markets remain competitive.

In addition to what we know from economic research, various legal cases have brought forward other factors relevant to understanding algorithmic pricing. Crucially, the modern pricing algorithms examined usually operate within careful boundaries regarding information use. As we’ve pointed out, in actual cases, reputable vendors design their systems to avoid any inter-firm sharing of sensitive information.[5] Firms typically feed their own internal data (sales volumes, inventory levels, cost data) into algorithms that combine these with publicly available market data, such as competitors’ posted prices. This one-way flow of processed market intelligence differs fundamentally from scenarios in which competitors exchange confidential strategic information. A hotel using pricing software sees market analyses (demand trends, average rates scraped from travel sites) but not rivals’ proprietary booking data or recommendations based on such data.

These empirical and legal findings converge on a crucial insight: algorithms seem to amplify existing market characteristics rather than fundamentally transforming competitive dynamics. In concentrated markets with high barriers to entry and homogeneous products, algorithmic pricing may facilitate coordination. These same markets were, however, already susceptible to tacit collusion with human decisionmakers. Conversely, in competitive markets with differentiated products and low entry barriers, algorithms typically intensify competition by enabling faster price responses, better capacity management, and more targeted offerings. The technology serves as an accelerant, not a catalyst. It serves to make existing competitive or anticompetitive tendencies more pronounced, without creating entirely new market dynamics.

The key distinction lies not in the use of algorithms, per se, but in whether firms move beyond legitimate monitoring of public information to actual coordination of competitive decisions. Using common analytical tools or receiving similar market intelligence does not establish unlawful coordination. In short, algorithmic pricing should be seen as an evolution of older forms of pricing, and not some revolution that requires throwing out everything we know about competition policy.

I. Algorithmic Pricing in Modern Markets

Algorithmic pricing refers to the practice of using computer algorithms to set or recommend prices for goods or services. Rather than relying solely on manual pricing decisions or simple rules of thumb, firms input data into software that can automatically recommend or determine prices based on predefined criteria or learned patterns. These tools range from relatively simple algorithms (e.g., dynamic rules that raise prices as inventory drops) to advanced artificial-intelligence (AI) systems that continuously learn from market data.

The Competition Bureau notes that algorithmic pricing is “is gaining momentum across sectors and industries worldwide,” employed in industries from hospitality to concert tickets to ridesharing.[6] Indeed, algorithmic pricing is, in many ways, an extension of techniques that have existed for decades. Airlines and hotels, for example, have long engaged in dynamic pricing and yield management by systematically adjusting fares or room rates according to demand fluctuations, the timing of bookings, and capacity constraints. And they have, for decades, employed software—algorithmic tools—to do so.

What has changed is the scale and sophistication made possible by modern computing and data availability. Today, even mid-sized and small firms can access cloud-based pricing software or revenue-management systems that analyze large datasets—including sales history, competitor prices, or consumer behaviour—to adjust prices.

Pricing algorithms may analyze data to monitor market conditions, predict optimal pricing, or both. Common inputs include a firm’s own sales and inventory data, publicly available information (such as competitors’ prices scraped from websites), and broader factors like seasonality or local events. Depending on the complexity, an algorithmic tool might use simple rules (e.g., “if inventory < X, raise price by Y%”) or more complex machine-learning models that recognize patterns (e.g., an AI that learns demand elasticity at different price points). Some algorithms use dynamic rules that adjust prices continuously in response to real-time data, while others use personalized rules that tailor prices to individual customer segments, or even to specific individuals, based on their characteristics or past behaviour. Other algorithms can do both.

It is important to demystify how these algorithms function in practice. Most pricing algorithms do not set prices in a vacuum or in a conspiratorial manner; rather, they replicate and enhance traditional pricing tasks that human managers have always done. The software simply automates these tasks, often with the aid of computational resources: observe competitor prices, analyze market conditions, and make pricing recommendations. In other words, algorithms are tools that follow the instructions or goals set by their human programmers (e.g., maximize occupancy, or achieve a target revenue per-product).

In some cases, such as the case of Rainmaker’s pricing software used by hotels, the algorithm presents recommendations to a human decisionmaker, who can choose to accept or override the suggested price.[7] Even in fully automated settings like e-commerce platforms, the algorithms are tuned to known business objectives, like clearing stock by a season’s end or undercutting a competitor’s price by a small margin. This operational reality is crucial to bear in mind: using an algorithm is not a magical means to collude or to exploit consumers, but a way to process information more efficiently.

A. Data Sources

The consultation inquires about the sources of algorithmic-pricing data and suggests that “pooling data among competitors may raise issues under the Competition Act.”[8] This would only occur in the case of third-party software, not in the case of, e.g., an airline using its own data to construct a pricing algorithm. In the case of external software, firms typically feed their own internal data (sales volumes, inventory levels, cost data) into the algorithm, often combined with publicly available market data, such as competitors’ posted prices.

Modern pricing tools do not usually involve exchanging confidential data among competitors. In fact, reputable vendors design their systems to avoid any inter-firm sharing of sensitive information, precisely to steer clear of risk to competition.[9] For example, a hotel using a pricing algorithm will see analyses of its market (demand trends, average competitor rates scraped from online-travel sites), but it will not be given a direct feed of a rival hotel’s proprietary booking data or recommendations based on such proprietary competitor data.

Competition law draws important distinctions between distinct types of information use. Monitoring publicly available competitor prices has always been legitimate competitive conduct, whether done manually by human analysts or automated through algorithms. The automation of this process does not transform lawful activity into unlawful coordination.

The Competition Bureau’s own guidance provides helpful context for evaluating information sharing in algorithmic contexts. In its Competitor Collaboration Guidelines, the bureau analyzed a scenario in which trade-association members agreed to share aggregated sales and cost data through an independent third party.[10] The bureau recognizes that information exchanges among competitors can “impair competition by reducing uncertainties regarding competitors’ strategies and diminishing each firm’s commercial independence,” but notes that most such exchanges “do not raise concerns under the Act because competitors generally avoid sharing information that is competitively sensitive.”[11]

The bureau’s analysis of when information sharing becomes problematic offers useful guidance by analogy. The bureau focuses on whether information is “competitively sensitive,” with “publicly available information” generally not raising concerns.[12] The bureau also distinguishes between “information exchanged directly between competitors” (more concerning) and “information that is supplied to an independent third party” in aggregated form (less concerning).[13]

The key legal test focuses on whether firms have moved beyond information gathering to actual coordination of competitive decisions—e.g., by sharing non-public, competitively sensitive information. Using common analytical tools or receiving similar market intelligence does not establish such coordination. Rather, enforcers must prove that competitors have agreed to act in concert, using shared information as a facilitating mechanism for price-fixing, rather than independent competitive decision-making.

Using one’s own and public data to set prices has always been a legitimate business practice, as we will explain later. Doing it faster with an algorithm does not change that fundamental point. Indeed, competition law draws a line between public price monitoring (generally lawful) and sharing confidential pricing plans (potentially unlawful). Algorithms that stick to the former are tools that promote efficiency, not collusion.

B. Types of Algorithmic Pricing

Two key concepts highlighted in this consultation are dynamic pricing and personalized pricing (or algorithmic price discrimination). We briefly define each:

1. Personalized pricing

Personalized pricing refers to setting different prices for different customers (or segments or groups of customers) based on their individual characteristics or willingness to pay. This could mean offering targeted discounts or higher prices depending on a customer’s profile, purchase history, location, or device. For instance, an e-commerce site might algorithmically offer a coupon to price-sensitive shoppers (those who haven’t purchased in a while) while charging full price to frequent purchasers who have shown low price sensitivity. Personalized pricing is enabled by data analytics that can estimate a consumer’s willingness to pay.

While the idea sometimes raises fairness questions, it is important to note that personalized pricing can be broadly procompetitive. It often means that more consumers can be served, as price-sensitive consumers get access to lower prices, rather than being priced out entirely under a one-price-for-all strategy. We discuss the consumer-welfare implications of personalized pricing below.[14]

The FTC recently introduced the term “surveillance pricing” to describe certain personalized-pricing practices.[15] But while this terminology comes from the academic literature, it has gained little traction. With no clear application or applicable research, it adds nothing to our understanding of the economic effects that are of interest in competition policy. The phrase appears designed more for rhetorical impact than analytical clarity; personalized or algorithmic price discrimination already captures the relevant economic phenomena without the pejorative connotations.[16] As a general rule, Canadian authorities should focus on the actual economic effects of these practices, rather than adopting loaded terminology that may prejudge outcomes.

2. Dynamic pricing

Dynamic pricing refers to adjusting prices over time in response to changing market conditions. The same phenomenon is also sometimes dubbed “surge pricing” or “real-time pricing.” The strategy can involve temporal price discrimination: the price for the same item may be higher at times of peak demand and lower at times of slack demand.

There are, at least, four distinct types of dynamic pricing. While all involve updating prices over time, the underlying economics and policy implications of each could differ.

The first form is pure intertemporal price discrimination, where firms exploit predictable differences across consumer types. Examples include “early-bird” concert tickets that are offered at lower prices months in advance, or last-minute business-class airline fares that skyrocket even when plenty of seats remain. The price path is pre-programmed and does not respond to new demand information; it is instead designed to sort diverse types of consumers based on their planning horizons or willingness to pay. A busy executive who books a flight the night before travel reveals something about their time value that the airline can exploit. This pricing strategy uses time of purchase as an imperfect proxy for consumer type, and is a form of price discrimination.

But not all dynamic pricing is pure price discrimination. The second form responds to predictable demand cycles, rather than consumer heterogeneity. Electricity companies charge more during peak hours (4 to 9 p.m.), because that’s when aggregate demand systematically spikes. Ski resorts charge less in April than February for the same reason. Here, the pricing algorithm does not try to discriminate among customer types. It is instead aligning prices with known fluctuations in market-wide demand to keep marginal revenue roughly equal to marginal cost.

The third form is real-time market balancing under flexible capacity constraints. This is where Uber’s surge pricing really shines: when demand unexpectedly spikes (say, when a concert lets out), prices jump to ration limited driver capacity and signal additional drivers to enter the market. The key feature here is that higher prices can serve to expand total supply; more drivers get on the road when surge multipliers kick in. Unlike the first two forms, the price path responds to real-time demand shocks, and the “capacity constraint” is soft, rather than hard. There is no doubt that consumers prefer lower prices, all else being equal. But consumers also prefer adequate supply (in the case of ridesharing, the ability to secure a ride), which is not likely to meet surges in demand in circumstances of constrained pricing.

The fourth form may be described as “capacity-based pricing,” which is a practice of yield management under fixed capacity constraints. Airlines exemplify this mechanism: a plane has exactly 200 seats, and no price increase can create more. As the flight date approaches, the algorithm learns about demand by observing booking pace. If business travelers are snapping up seats faster than expected, prices on the remaining seats rise to maximize revenue from that fixed inventory. If bookings lag, prices might drop to avoid empty seats. Here, unlike in Uber’s pricing model, supply cannot respond to price signals. The algorithm is purely optimizing allocation of a fixed (in the short run) capacity.

3. How common is algorithmic pricing?

While it is difficult to quantify with precision the prevalence of algorithmic pricing in Canada, surveys in other jurisdictions suggest that a significant minority of firms have adopted some form of automated pricing, especially in online markets. This may be illustrative of the adoption of such tools in Canada.

Survey evidence from multiple jurisdictions demonstrates that algorithmic pricing has moved from a niche practice to a mainstream business tool. In 2017, the European Commission found that 49% of European retailers tracked competitor prices, with 66.6% of those using price-monitoring software; that is, roughly one-third of all retailers employed some form of algorithmic price monitoring.[17] More tellingly, among those who use monitoring software, 78% actively changed prices in response to competitor moves, and 35% used specialized pricing algorithms for automatic adjustments.[18] Similar patterns have been observed across jurisdictions in the EU.[19]

The observed adoption patterns reveal important sectoral differences. Airlines and hotels have long been pioneers in dynamic pricing and yield management, extending decades-old practices with more sophisticated computational tools. Retail sectors—especially e-commerce—show high adoption rates, with academic research identifying algorithmic pricing among at least 500 sellers (2.4% of roughly 30,000 sellers) on Amazon alone.[20]

Implementation approaches vary significantly across firms and sectors. A 2021 study by the This spectrum—from human-assisted to fully automated pricing—reflects different levels of algorithmic sophistication and organizational comfort with automated decisionmaking.

Importantly, algorithmic pricing isn’t confined to online markets. The Danish survey revealed that, while 80% of algorithmic pricing occurred in online sales, approximately 33% of firms also used algorithms to set prices in physical stores.[22] This convergence reflects the broader digitization of retail operations and the integration of online and offline pricing strategies. The UK Competition and Markets Authority (CMA) documented evidence of growing adoption of algorithmic pricing in traditionally offline sectors, including large supermarkets and retail gasoline stations.[23] This trend suggests that the competitive effects of algorithmic pricing will extend well beyond digital-native industries.

Despite concerns about algorithmic price discrimination, survey evidence suggests that personalized pricing remains relatively uncommon. The European Commission’s mystery shopping exercise found that only 6% of tests recorded personalized pricing, with a median price difference of less than 1.6%.[24] Most price variations were found in the airline and hotel sectors, where price discrimination has long been standard practice. The limited adoption of personalized pricing may reflect both technical challenges and consumer resistance. As the Organisation for Economic Co-operation and Development (OECD) puts it:

…firms may either refrain from adopting personalised pricing to protect their reputation or be less forthcoming and open when they do use personalised pricing. This may explain why there is not much evidence of firms using personalised pricing.[25]

A significant portion of algorithmic-pricing adoption occurs through third-party software providers, rather than in-house development. A 2020 survey by the Netherlands competition authority found that 80% of firms using pricing algorithms had developed them internally, while 20% worked with third-party providers.[26] But the availability of cloud-based pricing software has democratized access to sophisticated pricing tools, allowing smaller firms to compete with larger rivals’ pricing capabilities.

This trend toward third-party solutions has important competitive implications. When multiple competitors use the same pricing software, it can create the conditions for coordinated pricing outcomes even without explicit agreements—a concern that has emerged in academic research on German gasoline markets[27] and in recent litigation involving hotel and rental-housing software.[28] We discuss both cases below.[29]

II. Economic Effects of Algorithmic Pricing

In this section, we focus on the competitive effects of algorithmic pricing, drawing on both economic theory and empirical studies. The bureau’s consultation rightly notes that algorithmic pricing “could improve resource allocation and lower production costs,”[30] even as it also carries some risks. We strongly emphasize these economic efficiencies, as they often are overlooked in public debates. While demonstrable risks shouldn’t be ignored, nor should they be overstated or overgeneralized. Sound competition policy depends on due consideration of economic efficiencies and other consumer benefits, not simply potential risks to competition.

In particular, we highlight how dynamic pricing can improve allocative efficiency and consumer welfare; how personalized pricing and price discrimination can benefit consumers by expanding market output; and how algorithmic tools generally tend to intensify competition (especially by empowering smaller firms and new entrants).

A. Personalized Pricing and Algorithmic Price Discrimination: Competitive Benefits

Personalized pricing—that is, charging different prices to different customers for the same product based on data-driven predictions of their willingness to pay—is among the more controversial aspects of algorithmic pricing. But it can be highly procompetitive, or at least neutral, in its competitive effects. It is not generally considered an antitrust violation, absent some exclusionary or collusive purpose, and it often reflects healthy competition to win over different segments of customers.

The fundamental rationale for price discrimination is to expand output and serve more consumers. In a classic single-price scenario, a firm sets a price too high for those consumers who value the product below that price, but above cost. Those potential customers are left unserved, which is a deadweight loss. By offering a lower price (a discount) to price-sensitive consumers, while still charging higher prices to those willing to pay more, a firm can sell to both groups. That increases total sales, potentially making both the firm and the price-sensitive consumers better off.

Basic economic theory shows that, under many conditions, price discrimination can bring output closer to the socially efficient level (where each consumer who values the product at or above marginal cost gets to buy it). This is why airlines, for instance, use various differentiation tools (advance-purchase requirements, Saturday-night-stay rules, frequent-flyer segmentation) to effectively charge lower fares to leisure travelers and higher fares to business travelers.

But even when price discrimination does not increase output, it can still benefit consumers under competition where multiple firms have access to the requisite. data. Brian Albrecht offers a simple model to illustrate this effect.[31] He finds a stark result: unlike under monopoly, under competition, consumer prices are minimized when firms have complete information and can perfectly price discriminate. Firms can identify when consumers view their products as perfect substitutes, triggering the kind of intense competition that the French economist Joseph Bertrand demonstrated in the 19th century would drive prices toward marginal cost for those consumers.[32] The mechanism works by eliminating firms’ ability to charge high prices to consumers who would switch to competitors; perfect information reveals exactly which consumers are price-sensitive, forcing aggressive competition for their business.

Recent empirical evidence from ride-hailing markets provides a more cautionary perspective on personalized pricing. Nicholas Buchholz et al. (2025) studied the European platform Liftago, which features a unique auction-based mechanism that allows consumers to choose among drivers offering different combinations of price and wait time.[33] Using this rich variation, the authors estimate individual-level preferences for time and money, and simulate several counterfactual pricing regimes.

They found that, if the platform were to move from its current fee-based model—in which prices are determined by competitive bidding and the platform takes a 10% cut—to a personalized-pricing scheme, consumer surplus would decline by 2.5%, platform profits would increase threefold, and 20% fewer trips would be completed, due to higher prices.[34] Most consumers (62.5%), however, would actually benefit from personalized pricing, with losses concentrated among the least price-sensitive riders.[35]

Importantly, the study demonstrated that most of the reduction in consumer surplus arose not from personalization itself, but from the platform’s ability to exercise market power by setting prices on both sides of the market. This suggests that the welfare consequences of personalized pricing depend critically on the underlying market structure and the degree of platform control, not merely on the use of consumer data.

B. Dynamic Pricing: Matching Prices to Demand for Greater Efficiency

Dynamic pricing may be the most common form of algorithmic pricing, and its procompetitive benefits are well-documented. By adjusting prices in line with real-time demand and supply conditions, dynamic pricing serves to allocate resources to their highest-valued uses and avoids the inefficiencies of static pricing.

In a static-pricing regime (where a firm sets one price for all times), the price is often too high during low-demand periods (resulting in unsold products and unsatisfied consumers—those who would have bought at a lower price) and too low during peak periods (resulting in shortages or long wait times when more consumers want more of the product than there are units available). Dynamic pricing corrects this inefficiency by lowering prices during off-peak times to encourage additional consumption and raising them in peak times to ration limited supply to those who value it most.

Consider a simplified example of Uber rides: if Uber charged the same flat price all week, many willing riders and drivers would fail to transact during weekday lulls (because the price floor of a flat rate is too high). Meanwhile, on a busy weekend night, a flat price would leave many riders stranded, because excess demand would overwhelm supply.[36] In contrast, surge pricing at busy times raises the fare to entice more drivers onto the road and to allocate rides to those who urgently need them, while off-peak price cuts get more people riding when cars are sitting idle. The net effect is more efficiently matching supply and demand across time.

The best research on dynamic pricing, due to the abundance of available data, is from the airline industry. An influential study by?Kevin R. Williams estimated a structural model on U.S. monopoly routes and shows that allowing airlines to update fares in real time raises output by about?3%, boosts revenues by?8%, and reallocates seats toward early?booking leisure passengers.[37] Because late?arriving business travelers pay much higher prices, aggregate consumer surplus falls by roughly?6%. But the revenue gain more than offsets this loss, such that total welfare rises by about?1% overall. Roughly two?thirds of the revenue improvement comes from third?degree intertemporal price discrimination, while the remaining third reflects capacity?based responses to demand shocks.

One unique feature of the Williams dataset is that it focuses exclusively on monopoly routes. By using novel flight?level seat?map data for markets served by a single carrier, the paper can abstract from strategic interaction and cleanly isolate the welfare effects of dynamic pricing itself.

The net effects on consumers will depend crucially on the level of competition, just like in the static case. For example, Nan Chen and Przemyslaw Jeziorski found that introducing dynamic pricing in a competitive airline network led to a Pareto improvement: both consumers and producers benefited overall.[38] The airlines could increase load factors and revenues through better yield management, while consumers benefited from more opportunities to find cheaper fares or available seats when they needed them. The study attributes this welfare gain to two aspects of dynamic pricing: intertemporal price discrimination (e.g., charging different prices to leisure vs. business travelers) and capacity-based pricing (adjusting fares as seats fill up).

Interestingly, Chen and Jeziorski note that, while price discrimination can soften head-to-head competition (since airlines focus on their own customer segmentation), the capacity-responsive pricing aspect actually intensifies competition by making firms react more aggressively to fill remaining seats. On net, consumers saw increased surplus on average in dynamic-pricing regimes relative to static pricing.

Dynamic pricing in competitive settings can, however, also create new inefficiencies. Jose M. Betancourt et al. introduce a theoretical framework for studying dynamic price competition in perishable-goods markets and identify what they term the “Bertrand scarcity trap.”[39] Using novel data from competing U.S. airlines, they show that intense algorithmic price competition can lead to inefficiently low prices early in the booking period, resulting in overprovision of seats far from departure and under-provision close to departure. Their empirical analysis of 50 routes reveals that, when airlines use pricing heuristics instead of fully competitive algorithmic pricing, revenues increase (by 4-5%) and consumer surplus improves (by 3%).

This finding suggests that, while algorithmic pricing can enhance efficiency in monopolistic settings, competitive dynamics may sometimes warrant more restrained pricing strategies. The study demonstrates that the welfare effects of algorithmic pricing depend critically on market structure and the degree of competitive interaction between pricing algorithms.

One common misconception is that, if dynamic pricing raises some prices (e.g., during peak demand), it must harm consumers. This ignores the other side of the coin: dynamic pricing lowers prices during off-peak times, directly benefiting consumers who have flexible timing or lower willingness to pay. Moreover, even during peak times, dynamic pricing ensures that those who most urgently need the product can get it (albeit at a higher price), rather than finding it unavailable.

For example, airlines often charge much more for a ticket bought the day before departure than one bought months in advance. While the last-minute buyer pays more, the higher price also provides seat availability for travelers with urgent needs (business or emergency travelers) instead of the flight being fully booked weeks earlier by tourists paying a cheap fare. In a world of static pricing, that business traveler might simply have no seat available at any price, because the airline—not being able to raise the price—has no mechanism or incentive to hold inventory for high-value last-minute customers.

With dynamic pricing, the market is better segmented: high-value, time-pressed consumers can buy what they need (at a premium), while low-value consumers can enjoy lower prices if they buy early or when demand slackens. Overall consumer welfare can increase because more consumers get what they value most: the ones who highly value immediacy get the product and the ones who highly value low prices get discounts if they plan accordingly. Dynamic pricing moves the allocation of goods from a random or first-come-first-served basis (which can be inefficient) to allocating by willingness to pay, which tends to be more efficient and welfare-enhancing.

Importantly, even those who face higher prices at peak times are not necessarily worse off relative to static pricing, and not just because they might not obtain the product at all under a static-pricing policy. They might, for example, endure nonmonetary costs like waiting in line or rationing. Dynamic pricing often reduces nonmonetary costs (like wait times, stockouts, missed opportunities) by clearing markets. If you can reliably get a ride during a storm because the price rose to attract drivers, that might be preferable to not being able to find a ride at all at the old price. In economic terms, the higher price compensates drivers to supply more service, which can alleviate the shortage and lower the total cost to the consumer, when also considering time saved or utility gained. Meanwhile, consumers who are price-sensitive have the option to wait for lower prices at a later time or choose off-peak consumption. This dynamic adjustment is often more efficient than, say, leaving a marketplace chronically undersupplied at an artificially low price.

There is empirical work outside of airlines that finds this. Juan Camilo Castillo provides detailed insights into surge pricing’s welfare effects using data from Houston’s Uber market.[40] The study finds that surge pricing increased total welfare by 2.15% of gross revenue relative to uniform pricing, but with asymmetric effects across market participants. Rider surplus increased by 3.57% of gross revenue, while driver surplus decreased by 0.98% of gross revenue.

The asymmetry in welfare effects arises from three key mechanisms: surge pricing saves time by mitigating supply-demand imbalances (benefiting riders more due to their higher value of time); allocates trips more efficiently to high willingness-to-pay riders when drivers are scarce; and results in lower average prices relative to uniform pricing. Importantly, the study finds that surge pricing benefits riders at all income levels, with low-income riders benefiting most from lower prices, shorter pickup times, and more reliable trips, while high-income riders also benefit, but would prefer even higher prices for further reduced wait times.

Far from always softening competition, dynamic pricing can intensify competitive rivalry under many circumstances. Because firms using algorithms monitor market conditions constantly, they are quick to react to competitors’ price changes. If one firm tries to cut prices to gain market share, rivals’ algorithms may detect the move and match or beat the price drop, nearly in real time. This rapid matching can lead to vigorous price competition that benefits consumers. Traditional static pricing might involve a slower, more tacit form of coordination (competitors adjusting prices infrequently and cautiously). In contrast, dynamic algorithms can create a fast-paced environment in which prices are always under pressure from current demand and competitor actions.[41]

Another vivid demonstration of dynamic pricing’s intricate effects comes from the rental-housing sector. Sophie Calder-Wang and Gi Heung Kim compared property owners who used algorithmic-pricing software to set apartment rents, versus those who priced manually.[42] During the Great Recession (when demand plummeted), landlords using algorithms lowered rents more quickly and significantly. As a result, they achieved higher occupancy rates than those who kept rents steadier. In other words, tenants of algorithm-using landlords saw rent decreases that they might not have gotten otherwise, and more units stayed filled (fewer empty apartments). By contrast, during the post-recession expansion, algorithmic landlords raised rents more aggressively and tolerated lower occupancy, which helped sustain higher average market rents.

Most notably, Calder-Wang and Kim’s structural model finds that algorithmic adopters priced as if they were maximizing joint profits, not individual profits. This led to rent increases of roughly $25 per-unit per-month on average, affecting millions of apartments. These findings underscore a key point: algorithmic pricing can improve efficiency in weak markets but may also facilitate coordinated outcomes in tight markets. The same mechanism that enables faster rent cuts when demand falls can also support supracompetitive pricing when demand recovers.

The fundamental policy implication is that automated pricing is not, in and of itself, either procompetitive or anticompetitive. Rather, the specific type or function of algorithmic pricing needs to be assessed in the context of specific market conditions, lest competition enforcement be overly lax or overly stringent, to be detriment of both competition and Canadian consumers.

Even in industries like airlines or hotels, the fear that dynamic pricing leads to uniformly higher prices is not borne out when multiple firms compete. Instead, each firm’s algorithm is trying to optimize its own performance, often by stealing demand from rivals when advantageous (e.g., lowering a fare to fill seats if a competitor’s flight is going empty). The Chen & Jeziorski study mentioned earlier explicitly found that one element of dynamic pricing (optimizing on remaining capacity) tends to intensify competition, as firms have strong incentives to undercut each other to avoid being the one left with unsold inventory.[43] This competitive dynamic again favours consumers through lower prices or more choices.

C. Algorithmic Price Competition

Zach Y. Brown and Alexander MacKay study algorithmic-pricing competition using high-frequency price data from online retailers.[44] They find that retailers using high-frequency pricing algorithms (updating prices within hours) systematically charge lower prices than competitors that rely on slower technology (daily or weekly price updates), even for identical products. They further document that consumer surplus declined 4.1% and firm profits increased 9.6% due to asymmetric algorithmic competition, translating to an estimated $300 million annual cost to online consumers in the personal-care category alone. Brown and MacKay’s theoretical framework demonstrates that simple pricing algorithms can support supracompetitive prices, even in competitive equilibrium, without explicit collusion.

Stephanie Assad et al. (2024) provide empirical evidence from the retail-gasoline market in Germany, where algorithmic-pricing software became widely available in 2017.[45] They identify adopting stations through structural breaks in pricing behaviour (frequency of price changes, response times to competitors) and use brand-level adoption as an instrument. The study found that algorithmic adoption increases margins by roughly 9%, but the effects vary dramatically with market structure. In monopoly markets, adopting stations see no meaningful change in margins. But in duopoly markets where both stations adopt, margins increased by 38% relative to markets where neither adopts. Importantly, these margin increases emerged gradually over about a year, suggesting the algorithms learn to avoid price competition. The study documents that algorithmic adopters become more likely to match competitors’ price decreases but less likely to undercut rivals, consistent with learned coordination without explicit agreement.

D. Algorithmic Tools, Market Entry, and Small Firm Competitiveness

An often-underappreciated benefit of algorithmic pricing is that it can lower barriers to entry and improve small firms’ ability to compete. While not part of the empirical studies described in the preceding paragraphs, this has important implications for dynamic competition and innovation in markets.

Historically, implementing sophisticated pricing strategies required substantial resources (data collection; analytics expertise, whether contracted or in-house; and continuous monitoring), which only large incumbents could afford. This gave larger firms an advantage in pricing acumen over smaller rivals. Today, however, third-party algorithmic-pricing services have become widely available, effectively outsourcing a data-analytics department to any firm that wants one. As a result, new entrants and smaller companies can quickly adopt state-of-the-art pricing techniques without developing them in-house.

This levels the competitive playing field. A startup can use the same revenue-management software that industry leaders use, ensuring that it does not leave money on the table or misprice its product out of ignorance. In economic terms, algorithms can reduce economies of scale in pricing, because even a small firm can get scale-like insights by pooling data via a vendor’s platform. The OECD has explicitly recognized this benefit: algorithms can “reduce barriers to entry by allowing smaller entrants to gain market insights or develop new disruptive products at lower cost.”[46]

Another dynamic procompetitive aspect is that algorithms can spur entry by new business models. Consider how Uber and other platform-based services have leveraged dynamic-pricing algorithms as an integral part of their model. Surge pricing allowed ride-hailing platforms to ensure supply met demand in real time, which was a key innovation over traditional taxis (which often faced shortages at peak times). This innovation created a whole new market for on-demand rides, clearly benefiting consumers who now find it easier to get a ride at nearly any time.

If surge pricing had been banned from the outset as “price gouging,” the platform model might not have proven viable or attractive to drivers (who rely on earning more in peak times to make the service worthwhile). Algorithms also enable entirely new products like real-time price-comparison services, personalized shopping assistants, and dynamic-discounts apps—all of which increase competition by making markets more transparent and giving consumers more power to find deals. The competitive pressure that these innovations bring (often to the dismay of incumbents) should not be underestimated.

Based on the literature review and economic analysis presented, several key takeaways emerge. Perhaps most importantly, algorithmic pricing represents an evolutionary step in established business practices, rather than a fundamental departure from traditional market dynamics. Airlines have engaged in yield management for decades; hotels have long adjusted rates based on occupancy and demand patterns; and retailers have always monitored competitor prices to inform their own pricing decisions. There is nothing inherently magical about algorithms that transforms legitimate pricing strategies into anticompetitive conduct. When a hotel manager manually checks competitor rates each morning and adjusts prices accordingly, this is recognized as normal competitive behaviour. When the same process is automated through an algorithm that monitors competitor websites and updates prices in real time, the fundamental economic activity remains unchanged—only the efficiency of pricing has improved.

The empirical evidence demonstrates that the competitive effects of algorithmic pricing depend heavily on market structure and competitive dynamics, rather than the technology itself. In competitive markets, algorithms can intensify price competition. In oligopolistic markets, on the other hand, they may facilitate coordination—although this requires careful case-by-case analysis to distinguish between conscious parallelism (which is generally legal) and actual agreement (which is not). Because the effects of algorithmic pricing are generally ambiguous, competition authorities should resist developing categorical rules for it. Instead, authorities should apply established legal principles and the best available evidence.

Enforcers should, among other things, focus on evidence of actual agreements to coordinate pricing, rather than the mere use of common algorithms or software platforms. Given the substantial efficiency benefits and competitive potential of algorithmic pricing, policymakers should be cautious about premature regulatory interventions, as these are likely to fit actual practices and their effects poorly. Instead, they should continue to monitor markets, technical developments, and the developing literature, while pursuing enforcement actions only where evidence of actual anticompetitive agreements and actual or likely harm to competition and consumers emerges.

To synthesize the empirical literature: algorithmic pricing can lead to higher prices in oligopolistic settings where firms use similar tools, supporting concerns about tacit collusion. At the same time, in competitive or dynamic settings, algorithms tend to improve efficiency and can benefit consumers (through lower prices for some, better allocation, and expanded output). The presence of both effects even within one market (as in housing) means regulators’ inquiries should be case-specific. It would be misguided to be always skeptical of algorithmic pricing, let alone to ban algorithmic pricing outright (we would lose substantial efficiencies and innovation), or to ignore the potential need for enforcement when clear coordinated effects emerge.

The bureau should continue to gather data and monitor outcomes in algorithm-heavy markets (fuel retail, airlines, ridesharing, e-commerce, housing). If patterns of sustained unexplained price elevation coincide with the adoption of algorithms, it may warrant investigation (looking for facilitating practices or agreements). Conversely, evidence of consumer benefits should make the bureau cautious about intervening unless absolutely necessary.

III. Addressing Competition-Law Concerns

To this point, we have focused primarily on the economic effects of pricing algorithms. We turn now to the potential competition concerns associated with algorithmic pricing, as highlighted in the discussion paper. In particular, we discuss: (A) the legal framework for distinguishing legitimate parallel conduct from unlawful agreements in algorithmic contexts; (B) concerns about unilateral anticompetitive conduct by dominant firms; and (C) issues of deceptive or manipulative practices.

Throughout, we argue that existing competition-law principles (if properly applied) are capable of handling truly anticompetitive behaviour, but that we must be careful to distinguish such behaviour from superficially similar but benign conduct. A recurring theme is that parallel or similar pricing outcomes should not be presumed illegally collusive without evidence of an agreement, and that the automation of a practice does not change its legality. If a strategy is legal for a human, it is legal when done by or with an algorithm, and vice versa.

A. Algorithmic-Collusion Theories: Legal Framework and Evidentiary Standards

Perhaps the foremost concern in this area is that competitors could use pricing algorithms to facilitate collusion, either explicitly (through a common intermediary coordinating prices) or tacitly (if self-learning algorithms learn to avoid price competition). The bureau’s paper warns that sharing algorithms “may facilitate coordinated behaviour, such as price-fixing.”[47] They may, under certain facts and circumstances, but that does not mean that they are likely to do so as a general matter.

Moreover, and critically, algorithmic pricing introduces novel mechanisms for price setting, but it does not change the fundamental structure of competition law. Under Canadian law, competition enforcement remains grounded in clear statutory elements, most notably Section 45 of the Competition Act.[48] Section 45(1) prohibits conspiracies, agreements, or arrangements between competitors to fix prices, allocate markets, or restrict output.[49] It does not, however, render parallel conduct or shared practices unlawful absent a meeting of the minds. There is a straightforward rationale for the distinction: a range of factors—not just anticompetitive intent, much less likely anticompetitive effects—can lead to parallel conduct. Crucially, this provision requires proof beyond a reasonable doubt of an agreement or arrangement.

As clarified in Section 45(3), the court may infer such an agreement from circumstantial evidence, but there must still be sufficient facts to support the conclusion that competitors consciously coordinated their conduct.[50] While it does not require a smoking gun, it does require evidence of an agreement. The provision allows courts to infer conspiracy from circumstantial evidence, but it leaves the substantive elements of Section 45(1) untouched.

This statutory structure mirrors the analytical framework laid out in U.S. cases like Cornish-Adebiyi v. Caesars and Gibson v. Cendyn.[51] In those cases, plaintiffs alleged a “hub-and-spoke” conspiracy because hotels used the same pricing software. But as ICLE explained in amicus briefs, simply subscribing to the same vendor—without evidence of a “rim” (i.e., a horizontal agreement among competitors)—does not suffice to establish an unlawful conspiracy under U.S. or Canadian law.[52]

The Competition Bureau’s own guidance makes clear that conscious parallelism is not a crime: rivals may lawfully mimic each other’s prices, even when they do so with full awareness of their interdependence, so long as each firm decides pricing for itself.[53] Thus, a price trajectory produced by identical algorithms used by competing firms does not, without more, establish a cartel. To convert lawful rivalry into a criminal conspiracy, the Crown must still point to plus factors—e.g., evidence showing that competitors:

  1. coordinated the adoption or parameter-setting of their software;
  2. exchanged competitively sensitive information; or
  3. agreed not to deviate from the algorithm’s recommendations.

Absent such proof, identical or highly correlated prices remain the product of legitimate competition—not an unlawful “meeting of the minds.” The evidentiary flexibility makes agreements easier to prove, but it does not render the agreement unnecessary as an element of the offense. Any enforcement action aimed at algorithmic pricing must respect that line. The provision was drafted to catch clandestine cartels, not to criminalize modern pricing tools or the parallel outcomes they can generate.

1. Hub-and-spoke theories in algorithmic pricing

Internationally, authorities are grappling with cases like the U.S. Justice Department’s (DOJ) RealPage case, which alleges that landlords who used a common pricing software effectively formed a cartel, or similar class-action suits brought by private plaintiffs in the hospitality sector (e.g., Cornish-Adebiyi v. Caesars and Gibson v. Cendyn in the United States) that have made hub-and-spoke conspiracy claims.

ICLE has been active in these discussions, filing amicus briefs that urged the courts to carefully apply collusion doctrine to the specific facts and circumstances presented by algorithmic-pricing cases. Our core argument is this: using the same pricing algorithm as one’s competitors is not itself evidence of an unlawful agreement. There must be proof of a “meeting of minds,” an agreement to fix prices or otherwise restrain competition, separate from the mere use of a common tool. Indeed, case-specific facts about the customization of pricing platforms have suggested it is misleading even to say that the software licensees all used the same data and algorithms.

In traditional hub-and-spoke cases, a central party (the “hub”) coordinates anticompetitive conduct among multiple competitors (the “spokes”). Crucially, liability requires demonstration of a “rim”: horizontal agreements that connect the spokes to one other. As the 3rd U.S. Circuit Court of Appeals explained in Howard Hess Dental Labs v. Dentsply (2010), “the rim of the wheel is the connecting agreements among the horizontal competitors (distributors) that form the spokes.”[54] Without this rim, there would be merely a series of vertical relationships between the hub and each spoke, which typically does not violate competition law.

This distinction becomes critical when evaluating algorithmic-pricing platforms. When multiple hotels use Rainmaker software or multiple landlords use RealPage, each has a vertical relationship with the software provider. To transform these vertical relationships into a horizontal conspiracy requires evidence that the competitors agreed among themselves to coordinate through the platform. The mere fact that they all chose the same software vendor cannot establish this horizontal agreement.

Thus, even if an algorithmic platform enables competitors to be more aware of each other’s pricing intentions (say, via aggregated market forecasts), that is not illegal unless it crosses into an actual concerted plan to fix prices. And it is not illegal, in no small part, because the forecasts might foster competition, rather than collusion.

The appropriate enforcement approach is thus to look for “plus factors” that indicate an agreement. Was there some communication or conduct ensuring that firms would not undercut each other beyond what the algorithm suggested? Did they agree not to override the algorithm or to follow certain rules collectively? In that regard, U.S. courts have mirrored Canada’s statutory requirements, which permit circumstantial evidence of an agreement but nonetheless require an agreement as an element of the offense. That evidence need not comprise an express written (or otherwise recorded) agreement to fix prices. But in the absence of such evidence, parallel pricing facilitated by a common tool should be seen as “conscious parallelism,” which competition law generally permits so long as each firm retains independent control.

The economic reality of how these platforms operate further undermines hub-and-spoke theories. In the Gibson v. Cendyn litigation, evidence showed that hotels retained full discretion to accept or reject Rainmaker’s pricing recommendations. As ICLE noted in its amicus brief, hotels “frequently override Rainmaker’s pricing recommendations,” with the software presenting recommendations to “a human decision-maker, who can choose to accept or override the suggested price.”[55] This retention of independent pricing authority is fundamentally inconsistent with the horizontal agreement required for hub-and-spoke liability.

Furthermore, the timing and circumstances of adoption matter. In the casino hotel cases, defendants adopted the software over a span of 14 years, making it “quite implausible that they tacitly agreed to anything, much less to fix the prices of their hotel rooms.”[56] Each firm’s decision to adopt pricing software at various times, for different properties, and with different customizations suggests independent business judgment, rather than coordinated action.

The data flow in these systems also distinguishes them from traditional hub-and-spoke conspiracies. Modern pricing algorithms typically aggregate market data and provide market intelligence without facilitating direct competitor-to-competitor communication. A hotel using Rainmaker sees analyses of its market (demand trends, average competitor rates scraped from online-travel sites) but does not receive a direct feed of a rival hotel’s proprietary booking data. This one-way flow of processed market intelligence differs qualitatively from scenarios where competitors use an intermediary to exchange confidential strategic information.

Again, we stress that the automation of pricing does not transform legal conduct into illegal conduct. Maureen Ohlhausen’s “guy named Bob” test is instructive here: if it is legal for Bob the pricing manager to review competitors’ public prices and adjust his company’s prices accordingly (which it is, as a form of savvy competition), then Bob doing the same via a computer program is also legal.[57]

2. Autonomous algorithmic coordination

A more novel concern is that self-learning AI algorithms might independently reach tacitly collusive outcomes without any agreement or human facilitation. Essentially, the algorithms could learn that competing on price is counterproductive and settle into a supracompetitive pricing pattern. This theoretical possibility has been explored in models and simulations (e.g., work by Emilio Calvano et al. showing Q-learning algorithms in a simple duopoly sometimes converged to high-price equilibria).[58] It is crucial to note, however, that there is no conclusive evidence that such autonomous tacit collusion is occurring in real markets or is currently a significant issue, much less that it is a necessary result of automated-pricing software generally. The OECD’s recent analysis in 2023 underscores this point, while advising vigilance as AI systems develop.[59]

This theoretical concern about autonomous algorithmic coordination differs importantly from, for example, the empirical findings in Assad et al.’s gasoline study.[60] While Assad and colleagues documented that algorithmic adoption led to higher margins and reduced price competition (with stations becoming more likely to match price decreases but less likely to undercut rivals), this represented a softening of competition, rather than explicit collusion. The gasoline algorithms learned to avoid aggressive price competition over time, but there was no evidence of an actual agreement among competitors to fix prices or coordinate conduct. Instead, the algorithms appeared to independently converge on less competitive behaviour as a profit-maximizing strategy.

This distinction is crucial for legal analysis: softened competition through parallel algorithmic learning, while potentially concerning from a welfare perspective, does not necessarily constitute the “agreement” required under Section 45 of the Competition Act.[61] The theoretical autonomous coordination concern, by contrast, envisions algorithms that might effectively replicate the outcomes of explicit price-fixing agreements without any human agreement or coordination—a scenario that would present novel challenges for competition law’s focus on proving concerted action.

The economic literature reviewed above demonstrates that algorithmic-pricing effects are fundamentally dependent on context. The same technology that enables coordination intensifies competition. Dynamic pricing can enhance efficiency in competitive markets, while potentially softening competition in oligopolistic ones. This context dependence provides strong economic justification for maintaining high legal burdens of proof. Because parallel-pricing outcomes can emerge from either coordination or competition, and because the welfare effects vary dramatically with market structure and implementation, legal standards cannot presume harm from algorithmic adoption alone. The economic evidence shows that distinguishing beneficial competition from harmful coordination requires careful analysis of facts and circumstances: the pricing software at-issue, its application, specific market conditions, information flows, timing patterns, and competitive responses and effects.

Canadian authorities evaluating potential algorithmic coordination should therefore focus on evidence of horizontal agreements, rather than vertical adoption patterns. Key indicators would include: evidence that competitors communicated about their mutual adoption of the software; agreements among competitors not to deviate from algorithmic recommendations; coordinated customization of algorithms to achieve common pricing outcomes; or use of the platform to exchange competitively sensitive information beyond what is publicly available. Without such evidence, the use of common pricing software remains a series of independent vertical relationships, regardless of how many competitors happen to use the same vendor.

In other words, while researchers have shown algorithms could collude under certain idealized conditions, competition authorities worldwide have yet to encounter a proven instance where an algorithm, on its own, created and sustained a collusive outcome that would not have happened with human operators. In Canada’s context, one might imagine concern in oligopolistic industries (say, retail gasoline or airlines) that pricing AIs could make tacit coordination “easier.” But even here, absent communication, it’s worth remembering that tacit collusion is not illegal under the Competition Act. The law instead targets “conspiracies, agreements or arrangements” (Section 45), which implies a meeting of minds, not mere conscious parallelism or intelligent adaptation to market conditions.[62]

If algorithms simply mirror what rational oligopolists would do anyway (recognize their interdependence and avoid price wars), that may be frustrating for regulators, but it is not caught by the letter of the law. The focus should remain on detecting any evidence of agreement or explicit facilitating practices. If companies deliberately design algorithms to reach collusive outcomes and have an understanding that they will do so, regulators could treat that as an agreement by proxy. Short of that, agencies should be cautious about stretching theories of liability too far. Doing so could chill the development of procompetitive algorithms. As former Deputy Assistant U.S. Attorney General Roger Alford remarked:

…in the absence of evidence of concerted action, we cannot presume the simple use of pricing algorithms is an antitrust violation. Any approach that bypasses proof of concerted action risks false prosecution of potentially pro-competitive pricing decisions. Misplaced enforcement efforts have the potential to discourage innovation and deter efficiency-enhancing pricing.[63]

B. Unilateral Anticompetitive Conduct

Pricing algorithms may also raise concerns about unilateral conduct, such as predatory pricing, tying, or self-preferencing. These concerns are valid in principle but must be assessed under the proper legal standards. In Canada, unilateral conduct by a dominant firm is governed by abuse-of-dominance provisions (Sections 78 & 79), which require that conduct have an exclusionary, predatory, or disciplinary negative effect on a competitor, or that it is likely to result in a substantial lessening or prevention of competition.

Algorithmic pricing can facilitate targeted price cuts, but this alone is not predatory. As the bureau recognizes, firms have long used targeted discounts to retain customers or respond to entry.[64] Algorithms simply make such responses more precise. It would be paradoxical to suggest that enforcers should, in the service of Canadian consumers, be generally suspicious of discounting or price cutting. Enforcement should focus on whether below-cost pricing is sustained long enough to eliminate rivals, and whether there is a realistic prospect of recoupment—standards that remain appropriate even in algorithmic contexts.

IV. Conclusion

Algorithmic pricing represents an evolutionary step in established business practices, rather than a fundamental transformation of competitive dynamics. The empirical evidence demonstrates that these tools can both intensify and soften competition, depending on market structure, implementation details, and competitive context. In concentrated markets with barriers to entry, algorithmic pricing may facilitate coordination, but the same markets were already susceptible to tacit collusion with human decisionmakers. Conversely, in competitive markets, algorithms typically enhance efficiency through improved capacity utilization, dynamic pricing, and more precise demand forecasting. The technology serves as an accelerant of existing market characteristics, not a catalyst for entirely new competitive dynamics.

Canadian competition authorities should resist the temptation to develop categorical rules for algorithmic pricing. The substantial efficiency benefits documented across airlines, ride-hailing, hospitality, and other sectors warrant protection, while legitimate competition concerns require careful case-by-case analysis grounded in established legal principles. Enforcement should focus on evidence of actual agreements to coordinate pricing, rather than the mere use of common algorithms or software platforms.

Ohlhausen’s “guy named Bob” test provides a useful heuristic: automated business practices should be evaluated by asking whether they would be legal if performed manually.[65] Using algorithmic tools to monitor public competitor prices and adjust accordingly remains legitimate competitive conduct, just as it was when done by human analysts.

As algorithmic pricing continues to evolve, the Competition Bureau should maintain its commitment to evidence-based enforcement, while monitoring developments in algorithm-heavy markets. The bureau’s existing analytical frameworks—particularly its guidance on information sharing and conscious parallelism—provide sufficient tools to address genuinely anticompetitive conduct without chilling innovation.[66] By focusing on economic effects rather than technological form, Canadian competition policy can preserve the substantial consumer benefits of algorithmic pricing while guarding against the genuine risks of coordination. The goal should be to ensure that competition law remains grounded in sound economic principles and clear legal standards, allowing Canadian businesses to harness the efficiency gains of modern pricing technology, while maintaining vigorous competitive markets.

[1] Algorithmic Pricing and Competition: Discussion Paper, Competition Bureau Canada (Jun. 10, 2025), https://competition-bureau.canada.ca/en/how-we-foster-competition/education-and-outreach/publications/algorithmic-pricing-and-competition-discussion-paper.

[2] Brief of the International Center for Law & Economics as Amicus Curiae in Support of Defendants, Cornish-Adebiyi v. Caesars Ent., Inc., No. 24-3006 (3d Cir. Mar. 31, 2025)

[3] Brief of the International Center for Law & Economics as Amicus Curiae in Support of Defendants’ Motion to Dismiss, Gibson v. Cendyn Grp., LLC, No. 1:23-cv-02536 (D.N.J. Mar. 1, 2024)

[4] Maureen K. Ohlhausen, Acting Chairman, Should We Fear the Things That Go Beep in the Night? Some Initial Thoughts on the Intersection of Antitrust Laws and Algorithmic Pricing, Fed. Trade Comm’n (May 23, 2017), at 10, available at https://www.ftc.gov/system/files/documents/public_statements/122 0893/ohlhausen_-_concurrences_5-23-17.pdf.

[5] See ICLE Amicus Briefs, supra notes 2-3.

[6] Competition Bureau Canada, supra note 1.

[7] ICLE Amicus Brief, supra note 2.

[8] Competition Bureau Canada, supra note 1.

[9] ICLE Amicus Brief, supra note 3 (“there is no allegation here that Rainmaker’s pricing recommendations to one subscriber are based on the confidential information of another subscriber.”)

[10] Competitor Collaboration Guidelines, Competition Bureau Canada (May?6, 2021), https://competition-bureau.canada.ca/en/how-we-foster-competition/education-and-outreach/competitor-collaboration-guidelines#sec04-7.

[11] Id.

[12] Id.

[13] Id.

[14] Infra Section II.

[15] FTC Surveillance Pricing 6(b) Study: Research Summaries A Staff Perspective, Fed. Trade Comm’n (Jan. 2025), available at https://www.ftc.gov/system/files?file=ftc_gov/pdf/p246202_surveillancepricing6bstudy_researchsummaries_redacted.pdf.

[16] Moreover, the term “surveillance” suggests that consumer behaviour and/or choices are observed in spaces with a reasonable expectation of privacy, not in the context of a consumer-provider relationship where the data collector is a party to the transaction.

[17] Final Report on the E-Commerce Sector Inquiry, Eur. Comm’n (May. 10, 2017), at 17, 22, 24, 29-32, https://ec.europa.eu/commission/presscorner/detail/en/ip_17_1261

[18] Id.

[19] See Algorithmic Competition, OECD Competition Policy Roundtable Background Note, OECD (2023), at 12, available at www.oecd.org/daf/competition/algorithmic-competition-2023.pdf. In 2020, the Norwegian Competition Authority found that 55% of surveyed firms used monitoring algorithms, while 20% employed pricing algorithms. In Denmark, 17% of e-commerce companies used pricing algorithms, with varying degrees of automation—from simple information provision to full algorithmic control. The Netherlands Authority for Consumers and Markets reported that 36% of firms used competitor-pricing data, with 16% (6% of all firms) employing pricing algorithms.

[20] Le Chen, Alan Mislove, & Christo Wilson, An Empirical Analysis of Algorithmic Pricing on Amazon Marketplace, in Proceedings of the 25th International Conference on World Wide Web 1339-1349 (Apr. 2016), available at https://mislove.org/publications/Amazon-WWW.pdf.

[21] Prisalgoritmer og Deres Betydning for Konkurrencen, Danish Competition and Consumer Authority (2021), available at https://kfst.dk/media/yecpmmxu/prisalgoritmer.pdf.

[22] Id.

[23] Pricing Algorithms – Economic Working Paper on the Use of Algorithms to Facilitate Collusion and Personalised Pricing, CMA (Oct.18, 2018), at 19, available at https://assets.publishing.service.gov.uk/media/5bbb2384ed915d238f9cc2e7/Algorithms_econ_report.pdf

[24] Consumer Market Study on Online Market Segmentation Through Personalised Pricing/Offers in the European Union, Eur. Comm’n (Jul. 19, 2018), at 171, 219-220, https://commission.europa.eu/publications/consumer-market-study-online-market-segmentation-through-personalised-pricingoffers-european-union_en.

[25] OECD, supra note 19.

[26] Position Paper: Oversight of Algorithms, ACM (2020), available at https://www.acm.nl/sites/default/files/documents/position-paper-oversight-of-algorithms.pdf.

[27] OECD, supra note 19.

[28] Id.

[29] Infra Section 4.C & III.1.

[30] Competition Bureau Canada, supra note 1.

[31] Brian C. Albrecht, Price Competition and the Use of Consumer Data (Aug. 11, 2020), available at https://briancalbrecht.github.io/albrecht_price_competition_consumer_data.pdf.

[32] Joseph Bertrand, Book Review of Theorie Mathematique de la Richesse Sociale and of Recherches Sur les Principles Mathematiques de la Theorie des Richesses, 67 Journal de Savants 499–508 (1883).

[33] Nicholas Buchholz et al., Personalized Pricing and the Value of Time: Evidence from Auctioned Cab Rides, 93 Econometrica 930,  https://onlinelibrary.wiley.com/doi/epdf/10.3982/ECTA18838

[34] Id. at 931.

[35] Id. at 932.

[36] See Cody Taylor, The Case for Algorithmic Pricing: Consumer Welfare, Market Efficiency, and Policy Missteps, Mercatus Ctr., Geo. Mason Univ. (May 14, 2025), https://www.mercatus.org/research/policy-briefs/case-algorithmic-pricing-consumer-welfare-market-efficiency-and-policy.

[37] Kevin R. Williams, The Welfare Effects of Dynamic Pricing: Evidence from Airline Markets, 90 Econometrica 831 (2022).

[38] Nan Chen & Przemyslaw Jeziorski, Consequences of Dynamic Pricing in Competitive Airline Markets (Jan. 26, 2023), at 3, https://ssrn.com/abstract=4285718.

[39] Jose M. Betancourt et al., Dynamic Price Competition: Theory and Evidence from Airline Markets Nat’l Bureau Econ. Rsch., Working Paper No. 30347 (Aug. 2022; rev. Apr. 2023), https://doi.org/10.3386/w30347.

[40] Juan Camilo Castillo, Who Benefits from Surge Pricing, Econometrica (forthcoming 2025), available at https://www.econometricsociety.org/publications/econometrica/0000/00/00/Who-Benefits-from-Surge-Pricing/file/19106-4.pdf.

[41] See George J. Stigler, A Theory of Oligopoly, 72 J. Pol. Econ. 44 (1964). For a modern treatment, see Yuliy Sannikov & Andrzej Skrzypacz, Impossibility of Collusion Under Imperfect Monitoring with Flexible Production, 97 Am. Econ. Rev. 1794 (2007).

[42] Sophie Calder-Wang & Gi Heung Kim, Algorithmic Pricing in Multifamily Rentals: Efficiency Gains or Price Coordination? (2024), available at https://doi.org/10.2139/ssrn.4403058.

[43] Chen & Jeziorski, supra note 36.

[44] Zach Y. Brown & Alexander MacKay, Competition in Pricing Algorithms, 15 Am. Econ. J. Microecon. (May 2023), https://www.aeaweb.org/articles?id=10.1257/mic.20210158.

[45] Stephanie Assad et al., Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market, 132 J. Pol. Econ. 763 (Mar. 2024), https://www.journals.uchicago.edu/doi/10.1086/726906.

[46] OECD, supra note 19.

[47] Competition Bureau Canada, supra note 1.

[48] Competition Act, R.S.C. 1985, c C-34.

[49] Id., s 45(1).

[50] Id., s 45(3).

[51] See ICLE Amicus Briefs, supra notes 2-3.

[52] Id.

[53] Competitor Collaboration Guidelines, Competition Bureau Canada (May 6, 2021), https://competition-bureau.canada.ca/en/how-we-foster-competition/education-and-outreach/competitor-collaboration-guidelines. (“The Bureau does not consider that the mere act of independently adopting a course of conduct with awareness of the likely response of competitors or in response to the conduct of competitors, commonly referred to as “conscious parallelism”, is sufficient to establish an agreement for the purpose of subsection 45(1). However, parallel conduct coupled with facilitating practices, such as sharing competitively sensitive information or activities that assist competitors in monitoring one another’s prices, may be sufficient to prove that an agreement was concluded between the parties.”)

[54] Howard Hess Dental Labs., Inc. v. Dentsply Int’l, Inc., 602 F.3d 237 (3d Cir. 2010). (“The rim of the wheel is the connecting agreements among the horizontal competitors … that form the spokes.”)

[55] ICLE Amicus Brief, supra note 3.

[56] Id.

[57] Ohlhausen, supra note 4.

[58] Emilio Calvano et al., Artificial Intelligence, Algorithmic Pricing, and Collusion, 110 Am. Econ. Rev. 3267–97 (Oct. 2020), available at https://www.jstor.org/stable/pdf/26966472.pdf.

[59] OECD, supra note 19 at 14.

[60] Assad et al., supra note 40.

[61] Competition Act, supra note 43.

[62] Id.

[63] Roger Alford, Dep’y Asst. Att’y Gen., Antitrust Div., The Role of Antitrust in Promoting Innovation, U.S. Dep’t of Justice (Feb. 23, 2018), at 8.

[64] Competition Bureau Canada, supra note 1.

[65] Ohlhausen, supra note 4.

[66] Competition Bureau Canada, supra note 48.

Regulatory Comments

ICLE Comments on Canada Competition Bureau’s Update of the Merger Enforcement Guidelines

Introduction

We thank the Government of Canada and the Competition Bureau for the opportunity to comment on its review of the Merger Enforcement Guidelines (Guidelines).[1] The International Center for Law & Economics (ICLE) is a nonprofit, nonpartisan global research and policy center founded with the goal of building the intellectual foundations for sensible, economically grounded policy. ICLE promotes the use of law & economics methodologies to inform public-policy debates and has longstanding expertise in the evaluation of competition law and policy. ICLE’s interest is to ensure that competition law remains grounded in clear rules, established precedent, a record of evidence, and sound economic analysis.

The consultation asks us to navigate a world in the aftermath of Bills C-56[2] and C-59[3] (Bills). The Bills introduced changes to Canadian competition law that are, in our view, severely misguided. The most problematic of these changes are encoding structural presumptions in the Competition Act and jettisoning the efficiency exemption in merger review. In our view, these changes signal a worrying turn away from sound economic analysis and toward formalistic line-drawing based on market structure. Notwithstanding these complaints, the changes are now fait accompli—at least, until the next legislative reform. The question therefore becomes one of mitigating their damage. We believe that the Guidelines could have a role to play in this regard. This is, by and large, how we have framed our comments (Comments) to the Competition Bureau’s consultation (Consultation).

Our Comments focus primarily on the following aspects of the Guidelines:

  1. Mergers that increase market share or concentration;
  2. Monopsony power in labor markets;
  3. Digital platforms, multi-sided markets, and network effects;
  4. Non-price effects and privacy;
  5. Innovation and dynamic competition; and
  6. The repeal of the efficiency exemption.

In its ongoing efforts to ensure that antitrust law in general, and merger control in particular, remain tethered to sound principles of economics, law, and due process, ICLE has submitted responses to consultations and published papers, articles, and reports in a number of jurisdictions. These include the European Union, the United States, Brazil, the Republic of Korea, the United Kingdom, India, and Canada. In January 2024, for example, ICLE submitted comments[4] to the Competition Bureau’s public consultation on its “Artificial Intelligence and Competition” discussion paper.[5] These and other publications are available on ICLE’s website.[6]

I. Mergers that Increase Market Share or Concentration

Bill C-59 incorporated structural presumptions into the Competition Act’s merger-review process.[7] As the Consultation notes, structural presumptions are, at best, an imperfect proxy for market power and, at worst, a misleading one.[8]

The assumption that “too much” concentration is harmful assumes both that a market’s structure is what determines economic outcomes, and that it is possible to know what the “right” amount of concentration is. As economists have understood since at least the 1970s (and despite an extremely vigorous, but futile, effort to show otherwise), market structure does not determine economic outcomes.[9]

Once perfect knowledge of technology and price is abandoned, [competitive intensity] may increase, decrease, or remain unchanged as the number of firms in the market is increased.… [I]t is presumptuous to conclude… that markets populated by fewer firms perform less well or offer competition that is less intense.[10]

This view is well-supported, and is held by scholars across the political spectrum.[11] The absence of correlation between increased concentration and either anticompetitive causes or deleterious economic effects is also demonstrated by a recent influential empirical paper from Shanat Ganapati. Ganapati finds that the increase in industry concentration in U.S. non-manufacturing sectors between 1972 and 2012 was “related to an offsetting and positive force—these oligopolies are likely due to technical innovation or scale economies. [The] data suggests that national oligopolies are strongly correlated with innovations in productivity.”[12] In the end, Ganapati found, increased concentration resulted from beneficial growth in firm size in productive industries that “expand[s] real output and hold[s] down prices, raising consumer welfare, while maintaining or reducing [these firms’] workforces.”[13] Sam Peltzman’s research on increasing concentration in manufacturing finds that it has, on average, been associated with both increased productivity growth and widening margins of price over input costs. These two effects offset each other, leading to “trivial” net price effects.

Further, the presence of harmful effects in industries with increased concentration cannot be readily extrapolated to other industries. Thus, while some studies have plausibly shown that an increase in concentration in a particular case has led to higher prices (which has been found true in only a minority of the relevant literature), assuming the same result from an increase in concentration in other industries or other contexts is simply not justified:

The most plausible competitive or efficiency theory of any particular industry’s structure and business practices is as likely to be idiosyncratic to that industry as the most plausible strategic theory with market power.[14]

As Chad Syverson aptly summarized:

Perhaps the deepest conceptual problem with concentration as a measure of market power is that it is an outcome, not an immutable core determinant of how competitive an industry or market is… As a result, concentration is worse than just a noisy barometer of market power. Instead, we cannot even generally know which way the barometer is oriented.[15]

In other words, depending on the nature and dynamics of the market in question, competition may well be protected under conditions that preserve a certain number of competitors in the relevant market. But competition may also be protected under conditions in which a single winner takes all on the merits of their business.[16] It is reductive, and bad policy, to presume that a certain number of competitors is always and everywhere conducive to better economic outcomes, or indicative of anticompetitive harm.

None of this means that concentration measures have no use in merger enforcement. Instead, it demonstrates that market concentration is often unrelated to antitrust enforcement, because it is driven by factors endogenous to each industry. As indicated earlier, the limited value of structural presumptions in elucidating competitive outcomes is recognized in the Consultation—at least, in theory. It is also recognized in the context of agreements and arrangements in s.90.3 of the Competition Act, which states that “for the purpose of subsections (1) and (2), the Tribunal shall not make the finding solely on the basis of evidence of concentration or market share.”

And yet it, is not entirely clear—in the aftermath of Bill C-59, and especially following the elimination of the efficiencies defense—how defendants could rebut the structural presumption laid down in s.92, other than by refuting the market-concentration calculus put forward by the Bureau. This essentially turns merger review under the Competition Act into a formalistic exercise where—despite assurances to the contrary—market structure is outcome-determinative. It also jars with the logic that applies to conduct under s. 90.1, thereby rendering the Competition Act conceptually rudderless.

The Guidelines can mitigate the unintended consequences of Bill C-59 by relativizing the value of structural presumptions. This can be done by clarifying that market structure is only a proxy for determining whether a transaction significantly lessens competition; explaining how structural presumptions can be rebutted; and clarifying that there is no “one size fits all” presumption across all industries. The overarching theme should be this: merger review is not a tool to organize markets along the Bureau’s preferred structural composition, but merely a tentative indication preceding a full-blow analysis.

Conversely, if the Guidelines double-down on Bill C-59’s structural turn, Canada risks stifling the dynamism of its own economy and destroying the significant benefits that accrue from procompetitive transactions, which account for the vast majority of mergers.[17] As Aaron Wudrick—former director of the Domestic Policy Programme at the Macdonald-Laurier Institute and now director of policy for MP Pierre Poilievre—has pointed out, “[structural presumptions] are very bad a idea, and [are] essentially evidence-free populism run amok.”[18] This echoes our arguments about the flimsy connection between market structure and economic performance. Similarly, Wudrick argues that:

The very premise is faulty, because concentration measures alone—as opposed to market power—are a poor proxy for the level of competition that prevails in a given market. I understand this can seem counterintuitive to a lot of people in the abstract, but in practice, it makes more sense: say you have one competitor, in particular, offering lower prices, higher quality, or newer cutting-edge products, so they end up breaking from the pack. They gain customers, and their market share rises. So this higher concentration is actually signaling more, rather than less, competition![19]

A formalistic adherence to market structure, in a misguided attempt to cater to populist anti-bigness sentiment, can penalize precisely those companies that, as Wudrick puts it, “break from the pack.” Consumers would, in turn, be left worse off “due to the unintended consequences in this populist rush to ‘get’ the big guys.”[20]

This form of populism may momentarily assuage some of the political pressure stemming from the high cost of living, but the “victory” is bound to be a Pyrrhic one—both as the economic harms of a flawed economic policy become apparent, and as consumers become aware that they are expected to foot the bill. With the impending change of administration in the United States, the populist “neo-Brandeisian moment” may have passed in that country,[21] and Canada would be unwise to replicate it at its lowest ebb.

II. Monopsony Power in Labor Markets

The Bureau’s recognition of the importance of monopsony power in labor markets is a welcome development. The recent changes to the Competition Act that explicitly include labor as a “product” for the purposes of merger review appropriately reflect the importance of labor-market competition.[22] As the Bureau acknowledges, the economic literature is increasingly concerned with how employers may exercise market power over their workforce, influencing wages, benefits, and working conditions.[23]

Before getting to the explicit guidance, however, it would be worthwhile to take a fuller look at the economic literature.[24] The Bureau cites papers that find high concentration levels.[25] It is worth recognizing that one of these papers is restricted only to manufacturing, while the other relies on online job-posting data. The administrative data directly measure employment levels and shares, instead of being restricted to online vacancies as a proxy for employment.

This distinction matters, because employment shares are the natural counterpart of market shares—a cornerstone of antitrust enforcement. Concentration measures based on vacancies will be systematically higher than those based on employment, because not all firms will hire in any given period (in addition to any other issues with the data sample). Using the most direct comparison available, the governmental microdata finds an average Herfindahl–Hirschman Index (HHI) roughly one-tenth as large as that found using vacancy data. For example, Elizabeth Weber Handwerker and Matthew Dey directly compare the concentration measures in their data to the 26 occupations studied by Jose Azar, Iona Marinescu, and Marshall Steinbaum.[26] They find an HHI in the private sector of 0.0383, compared to 0.3157 in Azar, Marinescu, & Steinbaum.

The point is not to take a firm stance on the level of concentration in labor markets, especially labor markets in Canada, but instead to recognize nuances in the literature.

When thinking about the connection between concentration and wages, rather than concentration in isolation, it is also worth noting that most papers (including those cited by the Bureau) that find lower wages in markets with higher employer concentration do not differentiate rural from urban labor markets.[27] Rural and urban labor markets can differ significantly in terms of their economic structures, job opportunities, and wage levels. Any regression of wages on concentration is likely picking up something unrelated to concentration directly.

There is good evidence that employer concentration does not lead to depressed wages. For example, Ivan Kirov and James Traina find that rising markdowns (the gap between worker productivity and wages) are more strongly associated with technology-related factors—such as automation and managerial practices—than with employer concentration.[28] Moreover, they caution that:

These results suggest the workhorse assumptions behind some of the labor-market power literature might need reevaluation, particularly work that uses cross-sectional variation to infer trends in labor-market power. Concentration is likely an inappropriate measure of labor-market power in this case.

Their critique underscores the limitations of relying heavily on concentration metrics to assess labor-market competition, especially when making claims about trends over time. As Steven Berry, Martin Gaynor, and Fiona Scott Morton write:

A main difficulty in [the monopsony power literature] is that most of the existing studies of monopsony and wages follow the structure-conduct-performance paradigm; that is, they argue that greater concentration of employers can be applied to labor markets and then proceed to estimate regressions of wages on measures of concentration. For the same reasons we discussed above, studies like this may provide some interesting descriptions of concentration and wages but are not ultimately informative about whether monopsony power has grown and is depressing wages.[29]

This is not to say that indirect evidence of market power is entirely without value. These studies can provide useful background information to guide antitrust policy. Moreover, antitrust law itself often relies on indirect measures of market power, such as concentration ratios and HHIs. In the case of antitrust enforcement, however, these measures are typically derived from carefully defined relevant markets. Defining the relevant market for labor is a complex task that requires considering such factors as job characteristics, worker skills, worker mobility, and geographic scope. There is currently little consensus among labor economists about the best way to define labor markets for antitrust purposes.

While the Bureau points to true features of labor markets around search frictions, the conclusion “that labour markets may be narrow” is premature, if “may” means more than mere possibility. There are also features of labor markets that push in the opposite direction. Often, the relevant market cannot be narrowed to even a handful of readily identifiable companies. For the vast majority of workers, a great number of potential employers would remain following a merger. This “potential competition”—the range of feasible employers that present an outside option to the merged companies’ present employees—limits the merged firm’s ability to exercise monopsony power in its labor negotiations. While we are not aware of publicly available data that would more comprehensively illustrate worker flows among different companies (and industries), such flows of retail workers into and out of roughly adjacent labor markets make intuitive sense. As economist Kevin Murphy has explained:

If you look at where people go when they leave a firm or where people come from when they go to the firm, often very diffuse. People go many, many different places. If you look at employer data and you ask where do people go when they leave, often you’ll find no more than five percent of them go to any one firm, that they go all over the place. And some go in the same industry. Some go in other industries. Some change occupations. Some don’t. You look at plant closings, where people go. Again, not so often a big concentration of where they go to. If you look at data on where people are hired from, you see much the same patterns. That’s kind of a much more diffuse nature.[30]

Fundamentally, the labor-economics literature has offered little guidance to date on how to define markets in labor cases. Concentration varies greatly, depending on the exact definition of the relevant market, especially the geographic market. It is virtually impossible to know what outside options to include in the relevant market, and it may not always be possible to identify even where such potential employers are located (e.g., are commuting zones better proxies for the relevant geographic labor market than metropolitan areas?). These market-definition issues are far more acute in monopsony cases than in traditional monopoly cases, both because the intrinsic question of substitutes is more complicated and because there is far less precedent to guide parties and enforcers. That makes enforcers’ jobs more difficult. But if the goal is to promote competition, instead of simply reducing the number of mergers, it is important to recognize the difficulties, rather than assume they do not exist.

If the Guidelines wish to stress labor markets and monopsony, it is also worth noting the differences. Suppose, for now, that a merger either generates efficiency gains or market power, but not both. In a monopoly case, if there are efficiency gains from a merger, the quantity sold in the output market will increase. With sufficient data, the agencies will be able to see (or estimate) the efficiencies directly in the output market. Efficiency gains result in either greater output at lower unit cost, or else product-quality improvements that increase consumer demand. In contrast, if the merger simply enhances monopoly power without efficiency gains, the quantity sold will decrease, either because the merging parties raise prices or quality declines. The empirical implication of the merger is seen directly in the market in question

The monopsony case is, however, rather more complicated. Ultimately, we can be certain of the effects of monopsony only by looking at the output market, not the input market where the monopsony power is claimed. Consider, again, a merger that generates either efficiency gains or market (in this case, monopsony) power. A merger that creates monopsony power will necessarily reduce the prices and quantity purchased of inputs like labor and materials. But this same effect (reduced prices and quantities for inputs) would also be observed if the merger is efficiency-enhancing. If there are efficiency gains, the merged entity may purchase fewer of one or more inputs than the parties did pre-merger. For example, if the efficiency gains arise from the elimination of redundancies in a hospital merger, the hospital will buy fewer inputs, hire fewer technicians, or purchase fewer medical supplies.

We have seen there are scale efficiencies associated with hospital mergers. As work from the U.S. Federal Trade Commission (FTC) Bureau of Economics explains, there can be scale efficiencies associated with “surgical procedures that exhibit a volume-outcome relationship.”[31] Typically, these are high-risk, complex procedures. “By consolidating such procedures at fewer hospitals, or by sending experienced personnel from one hospital to another, a system potentially can reap the benefits of increased scale.”[32] That is, reassignment of personnel and/or consolidation of procedures (and attendant personnel) at fewer hospitals can facilitate more efficient and higher-quality provision of services, even as it may decrease labor demand in certain geographic markets. This may even reduce the wages of technicians or the price of medical supplies, even if the newly merged hospitals do not exercise any market power to suppress wages.[33]

Taking these complications, which go beyond the concerns in standard monopoly cases, the Guidelines should also explicitly acknowledge the interactions among output markets and input markets, and what they mean for the assessment of merger efficiencies. Monopsony markets do not present a mirror image of monopoly markets. Merger reviews should therefore assess both input markets (e.g., labor) and output markets (e.g., products) simultaneously. In other words, considering some effects outside the relevant market is essential when evaluating effects in labor markets. The assessment of efficiencies must also take into account the potential offsetting effects on workers from lower wages (or slower wage growth), which is not explicitly addressed in this guidance.

III. Digital Platforms, Multi-Sided Markets and Network Effects

As a general note, it is highly doubtful that digital platforms truly warrant an overhaul of existing merger-review principles, or a lex specialis. Indeed, it is unlikely that these markets exhibit any greater tendency toward anticompetitive conduct than others. In fact, these industries—if we can call them that—tend to perform comparatively better than others. As Herbert Hovenkamp has noted, when deciding which industries they should pursue, antitrust authorities typically focus on those that are characterized by poor economic performance. By contrast:

With Big Tech, we’re looking at probably the most productive part of the economy. The rate of innovation is high. They spend a lot of money on R&D. They are among the largest patent holders. There’s very little evidence of collusion. They seem to be competing with each other quite strongly. They pay their workers relatively well and have fairly educated workforces. None of this is a sign that these are industries we should be pursuing. That doesn’t mean they don’t do some anti-competitive things. But the whole idea that we should be targeting Big Tech strikes me as fundamentally wrong-headed.[34]

As Geoffrey Manne and Dirk Auer have argued, antitrust enforcers’ hostility toward digital platforms may be fueled more by dystopian populism than actual evidence of widespread harm.[35] When revisiting the Guidelines, the Bureau should not fall for some of the fallacies that paint digital platforms as uniquely problematic or prone to anticompetitive conduct.

For instance, the Consultation states that strong network effects may make markets prone to “tipping,” especially when combined with economies of scale and the use of large volumes of data. This is an argument that has become increasingly common, and the Competition Bureau is certainly not the first to raise it. The crux of the argument is that “the collection and use of data creates a feedback loop of more data, which ultimately insulates incumbent platforms from entrants who, but for their data disadvantage, might offer a better product.”[36] This self-reinforcing cycle purportedly leads to market domination by a single firm.[37] Thus, it is argued that, e.g., Google’s “ever-expanding control of user personal data, and that data’s critical value to online advertisers, creates an insurmountable barrier to entry for new competition.”[38]

But it is important to note the conceptual problems these claims face. Because data can be used to improve the quality of products and/or to subsidize their use, the idea that data serves as an entry barrier suggests that any product improvement or price reduction made by an incumbent could be problematic for any new entrant. This is tantamount to the argument that competition itself is a cognizable barrier to entry. Of course, it would be a curious approach to antitrust if competition were treated as a problem, as it would imply that firms should under-compete—i.e., should forego consumer-welfare enhancements—in order to inculcate a greater number of firms in a given market simply for its own sake.[39]

Meanwhile, actual economic studies of data-network effects have been few and far between, with scant empirical evidence to support the theory.[40] Andrei Hagiu and Julian Wright’s theoretical paper offers perhaps the most comprehensive treatment of the topic to date.[41] The authors ultimately conclude that data-network effects can be of varying magnitudes and with varying effects on firms’ incumbency advantage.[42] They cite Grammarly (an AI writing-assistance tool) as a potential example: “As users make corrections to the suggestions offered by Grammarly, its language experts and artificial intelligence can use this feedback to continue to improve its future recommendations for all users.”[43]

Despite the paucity of evidence, however, policymakers and antitrust enforcers have been keen to embrace data-driven network-effect theories of harm. For example, it is remarkable that, in its section on “[t]he data advantage for incumbents,” the Furman Report created for the UK government cited only two empirical economic studies, and those studies offer directly contradictory conclusions with respect to the question of the strength of data advantages.[44] Nevertheless, the Furman Report concludes that data “may confer a form of unmatchable advantage on the incumbent business, making successful rivalry less likely,”[45] and adopts without reservation “convincing” evidence from non-economists that have no apparent empirical basis.[46]

This trend is likewise evident in other jurisdictions, including the EU and the United States.[47] Unfortunately, these concerns rest on little-to-no empirical evidence, either in the economic literature or the underlying case records. Accordingly, it is important that the Guidelines recognize the procompetitive aspects of so-called digital platforms, network effects, and data, rather than treating their mere existence as a smoking gun that signals anticompetitive harm. While data could, in certain circumstances, confer on a company the ability and incentive to foreclose rivals, this should be tempered by the recognition that data can also be (i) the source of procompetitive conduct that enhances consumer welfare and (ii) not an insurmountable barrier to entry.

On the latter point, consider generative AI. Given common assumptions about the advantages conferred by data and data-driven network effects, it would be reasonable to assume that firms like Google, Meta, and Amazon should be in pole position to dominate the burgeoning market for generative AI. After all, these firms have not only been at the forefront of the field for the better part of a decade, but they also have access to vast troves of data, the likes of which their rivals could only dream when they launched their own services.

To date, however, this is not how things have unfolded—although it bears noting that these markets remain in flux and the competitive landscape is susceptible to change. The first significantly successful generative-AI service was arguably not from either Meta—which had been working on chatbots for years and had access to, arguably, the world’s largest database of actual chats—or Google. Instead, the breakthrough came from a previously unknown firm called OpenAI.

This raises several crucial questions: how have these AI upstarts managed to be so successful, and is their success just a flash in the pan before Web 2.0 giants catch up and overthrow them? While we cannot answer either of these questions dispositively, we offer what we believe to be some relevant observations concerning the role and value of data in digital markets.

A first important observation is that empirical studies suggest that data exhibits diminishing marginal returns. In other words, past a certain point, acquiring more data does not confer a meaningful edge to the acquiring firm. As Catherine Tucker put it following a review of the literature: “Empirically there is little evidence of economies of scale and scope in digital data in the instances where one would expect to find them.”[48]

Likewise, following a survey of the empirical literature on the topic, Manne & Auer conclude that:

Available evidence suggests that claims of “extreme” returns to scale in the tech sector are greatly overblown. Not only are the largest expenditures of digital platforms unlikely to become proportionally less important as output increases, but empirical research strongly suggests that even data does not give rise to increasing returns to scale, despite routinely being cited as the source of this effect.[49]

Ultimately, establishing a business model to extract and organize the right information is more important than simply owning vast troves of data.[50] Even in those instances where high-quality data is an essential parameter of competition, it does not follow that having vaster databases or more users on a platform necessarily leads to better information for the platform.

Indeed, if data ownership consistently conferred a significant competitive advantage, these new firms would not be where they are today. This does not, of course, mean that data is worthless. Rather, it means that competition authorities should not assume that merely possessing data is a dispositive competitive advantage, absent compelling empirical evidence to support such a finding. In this light, the Guidelines should seek to accurately reflect the nuances surrounding data-driven advantages.

A second potential area of concern relates to conglomerate or non-horizontal mergers. The Consultation indicates that these may be important in mergers involving digital platforms, given the complementarity of the products involved. The Competition Bureau should be careful, however, not to treat every merger involving a digital platform as a de facto horizontal merger under the flawed assumption that, but for the acquisition, one of the merging firms likely would launch its own competing vertical product.[51] Similarly, if “digital ecosystems” are defined broadly to include any products that are actually or potentially complimentary, and if strengthening a “digital ecosystem” makes a merger suspect of anticompetitive harm, then virtually any acquisition involving a digital platform could, in theory, be deemed anticompetitive insofar as it would give the acquiring firm the ability (and incentive) to, e.g., give preferential treatment to its complementary product over those of rivals.

This logic could apply to anything from Amazon’s acquisition of robot vacuum cleaners (Amazon could preference its own vacuum cleaners on Marketplace); AI partnerships (Apple could “tie” an AI to its iOS); maps services (Google Maps); etc. It is easy to see the problem with this theory: it has no obvious limiting principles. Any two products could potentially be complementary in the boundless domain of “digital ecosystems.” Of course, in a given case, under specific facts and circumstances, a large, diversified tech firm might consider or achieve entry into a vertical, or “complimentary” market. But a possibility under some facts and circumstances is a far cry from a general likelihood.

The implication of this research[52] is that mergers between firms that are either vertically related or active in unrelated markets routinely or typically have significant horizontal effects.[53] This can be the case, either when merging firms are potential competitors or when they compete in innovation markets (i.e., they have overlapping R&D pipelines, or may have them in the future).[54] Endorsing this approach to merger review wholeheartedly, however, would have profound policy ramifications. Indeed, should authorities assume the counterfactual to a merger is that the acquirer will compete with the target directly, then every merger effectively becomes a horizontal one. This would obfuscate the well-established, fundamental conceptual difference between horizontal and vertical mergers.

A horizontal merger combines firms that compete in the same relevant market, which necessarily reduces the number of firms engaged in head-to-head competition and may eliminate substitutes. That reduction inherently tends to increase prices, but the price effect may be trivial. In addition, market responses (competitive repositioning or new entry) or other benefits of the merger (savings in transaction and other costs, enhanced investment incentives) may neutralize or offset the impetus to higher prices. But because those benefits are not automatic (and the reduction of direct competition is), they must be proven, rather than assumed, if the merger otherwise poses a significant risk of anticompetitive effects.

A vertical merger, by contrast, combines firms with an upstream or downstream (e.g., seller-buyer) relationship—that is, “firms or assets at different stages of the same supply chain.”[55] Examples include a manufacturer acquiring a distributor or a firm that provides a manufacturing input. The economic consequences of combining complements rather than substitutes are fundamentally different. Whereas the first-order effect of a horizontal merger is upward pricing pressure, the first-order effect of a vertical merger is downward pricing pressure. Vertical mergers typically entail the elimination of double marginalization, which is akin to downward pricing pressure (and often considered alongside efficiencies).[56]

Vertical integration also typically internalizes externalities in research and development, resulting in greater investment.[57] Like horizontal mergers, vertical mergers also often confer other benefits, such as operational and transactional efficiencies.[58] Thus, while both types of mergers can create benefits from cost savings, their intrinsic effects move in opposite directions: higher prices and less investment with horizontal mergers, and lower prices and more investment with vertical mergers.

Here, once again, the Competition Bureau should be careful not to fall prey to alarmist theories of harm, generalizations with little basis in reality, and anti-tech commotion. To avoid stifling procompetitive mergers that result in the integration of complimentary products from which consumers benefit (as well as foreclosing an important exit strategy for startups),[59] the Guidelines should be very clear as to which conglomerate mergers are problematic, and under which circumstances. Otherwise, the Competition Act risks throwing the baby out with the bathwater.

IV. Non-Price Effects and Privacy

The Bureau intends the revised Guidelines to focus on non-price effects,[60] with a clear emphasis on privacy. As the Consultation notes:

Future merger reviews may examine privacy as a non-price dimension of competition which may be harmed when competition is lessened or prevented. It may be challenging to measure impacts on privacy. As such, it may be helpful for the guidelines to include information on the aspects of privacy that may be affected by mergers, including:

  • transparency regarding data practices,

  • whether meaningful consent is obtained,

  • the extent of data collection,

  • the use or sharing of collected data,

  • storage and retention terms,

  • encryption and protection,

  • data portability rights, or

  • other parameters.[61]

While this is reasonable, in principle, and in line with antitrust law’s best practices and the consumer-welfare standard, it also merits caution.[62] The U.S. 2010 Horizontal Merger Guidelines (2010 HMGs), for example, recognized that anticompetitive effects may “be manifested in non-price terms and conditions that adversely affect consumers.”[63] This, of course, includes effects on consumer privacy. The theory behind this is that a merger between two entities—one that is more privacy-protective and one that is less—could lead to less privacy overall (framed here as more data collection for targeted advertising) because there would be one less firm to put competitive pressure on the newly merged firm. Thus, competition authorities reviewing such mergers are encouraged to consider the impact on privacy as part of their analysis.

For example, in Google’s 2007 acquisition of DoubleClick, the FTC explicitly considered the impact of the transaction on “non-price attributes of competition, such as consumer privacy.”[64] While a merger has never been blocked solely due to privacy concerns, it clearly can be analyzed as a form of non-price competition. The lack of enforcement on these grounds may, however, be due to the clear difficulties in applying such a framework.

First, non-price effects may be difficult to measure. As Doug Melamed and Nicolas Petit have pointed out:

Like all decision-makers, antitrust agencies and courts are constrained in their ability to discover facts that are imperfectly observable (e.g., successful entry deterrence), measurable (e.g., product quality) or predictable (e.g., innovation and technological progress). Some data are easier to obtain, and some facts are easier to establish. So public and private antitrust enforcers have, for reason of prudence or pragmatism, focused on price and output effects.[65]

Second, product-quality effects can be extremely difficult to distinguish from price effects. Quality-adjusted price is usually the touchstone by which antitrust regulators assess prices for competitive-effects analysis. Disentangling (allegedly) anticompetitive quality effects from simultaneous (neutral or pro-competitive) price effects is, at best, an imprecise exercise. For this reason, it is very difficult to prove a product-quality case alone and would require connecting the degradation of a particular element of product quality to a net gain in advantage for the monopolist.

This means, for example, that the price of free access for users of multi-sided platforms must be balanced against the cost of data collection.[66] For instance, most users of digital apps and websites strongly prefer free access in exchange for their data, as evidenced by the fact that very few pay for subscription models that eschew data collection. The consumer-welfare standard would require looking at the quality-adjusted price to consider whether a merger would help or harm consumers on privacy grounds. One of the tradeoffs inherent in this exercise is whether blocking a potential merger could mean higher prices for many users in the name of protecting privacy.

For example, imagine a hypothetical device maker with high levels of privacy protection that charges more for its products and requires fee-based access to apps in the app marketplace for its devices. Imagine this device maker is acquired by a rival that has lower-cost devices and mostly “free” apps in its stores, which are cross-subsidized via targeted ads powered by data collection. If an antitrust-enforcement agency rejects this acquisition on privacy grounds, there would be a potential cost to those consumers who would have experienced lower prices for the devices and free apps. Determining the tradeoffs among device and app selection, price, and privacy for the consumer-welfare analysis in such a case would be extremely difficult.

Invariably, product quality can be measured on more than one dimension. For instance, product quality could include both function and aesthetics: A watch’s quality lies in both its ability to tell time, as well as how nice it looks on your wrist. A non-price-effects analysis involving product quality across multiple dimensions becomes exceedingly difficult if there is a tradeoff in consumer welfare between the dimensions. Thus, for example, a smaller watch battery may improve its aesthetics, but also reduce its reliability. Any such analysis would necessarily involve a complex and imprecise comparison of the relative magnitudes of harm/benefit to consumers who prioritize one type of quality over another.

All other things being equal, it is plausible that consumers would prefer more privacy. But not only are there potential tradeoffs between price and privacy online, but there could be an important tradeoff between privacy and other product qualities, such as how well an algorithm for a search engine or a social-media news feed works. One of the reasons many users prefer Google over the more privacy-oriented DuckDuckGo, for instance, is because of how well the search algorithm works—empowered, in part, by data collected online.[67]

For enforcers, this again leads to a question of how to consider tradeoffs under the consumer-welfare standard. Without more information, it will be very difficult to determine whether consumers care more about data collection or the other product qualities that data collection could empower. The preferences among users about the relative weighting of product features is, moreover, likely to be highly heterogeneous, making a generalized assessment of given features exceedingly difficult.

In sum, the question of antitrust-relevant product quality really comes down to the relative numbers of, and magnitude of harm to, consumers who prefer more privacy protection versus those who prefer a better product experience and/or a lower price. To make out an antitrust case based on privacy harms, antitrust regulators would have to compare the magnitude of harms to what appears to be a small group of privacy-sensitive consumers (who have not otherwise protected themselves by using marketplace tools like tracking-blockers or the opt-out options provided by major ad networks and data brokers) to the benefits received by the supermajority of consumers who are less privacy-sensitive. Beyond the enormous difficulty of performing such analysis, it seems extraordinarily unlikely that the harms would outweigh the benefits, on net.

A final consideration is also important. When considering using competition law, enforcers should consider that Canada already has an extensive data-privacy legal framework.[68] Accordingly, any attempt to harness competition law to protect privacy should be cautious about possible unintended effects, such as barriers to competition or the generation of high compliance costs due to possible redundancies, lack of legal clarity or predictability, or even contradictions.

V. Innovation and Dynamic Competition

The Bureau’s emphasis on innovation effects in merger review is well-placed, as dynamic competition through innovation represents a crucial dimension of market rivalry that can have significant consequences for consumer welfare.[69] The relationship between market structure and innovation is, however, often ambiguous—requiring careful analysis, rather than broad presumptions. Bill C-59’s aggressive stance against concentration[70] might undercut dynamic competition, as size and scale are often conducive to innovation.

The economic literature examining the relationship between market structure and innovation presents mixed findings that defy simple characterization. As Richard Gilbert notes in his survey of the empirical literature, studies “do not reach a consensus, other than to note that innovation effects can differ dramatically for firms that are at different levels of technological sophistication.”

Table 6.1 summarizes the conclusions from these interindustry studies for the effects of competition and industry structure on innovation. Unfortunately, these studies do not reach a consensus, other than to note that innovation effects can differ dramatically for firms that are at different levels of technological sophistication. Although some studies find a positive relationship between measures of innovation and competition (alternatively, a negative relationship between innovation and industry concentration), others find that the relationship exhibits an inverted-U, with the largest effects at moderate levels of industry concentration or competition, and at least one study reports a negative relationship between competition (measured by Chinese import penetration) and innovation (measured by citation-weighted patents and R&D investment. One consistent finding is that an increase in competition has less of a beneficial effect, and may have a negative effect, on innovation incentives for firms that are far behind the industry technological frontier.[71]

This ambiguity is reflected in seemingly contradictory findings across industries. For instance, Ronald Goettler and Brett Gordon[72] found that concentration led to higher innovation rates in semiconductors, while Mitsuru Igami reached the opposite conclusion when studying the hard-disk-drive industry.[73]

Perhaps most notably, the seminal work of Philippe Aghion et al. identified an inverted-U relationship between competition and innovation.[74] This finding, however, warrants careful interpretation. While increased competition may spur innovation up to a point, the relationship varies significantly across industries and depends on numerous factors, including firms’ relative technological positioning. The relationship that holds true for the economy as a whole does not necessarily apply in any given case. While the research on market structure and innovation does not directly apply to mergers, it illustrates similar tradeoffs involved.

Looking at mergers directly, if there is an emerging consensus, it is that protecting innovation requires a nuanced, context-dependent approach, rather than blanket presumptions about market structure. Drawing directly from Marc Bourreau et al., we can develop a more nuanced understanding of the relationship between mergers and innovation.[75] The authors demonstrate that the impact of mergers on incentives for innovation can be decomposed into two fundamental effects: a market-power effect and an externality effect. This decomposition helps explain why blanket presumptions about merger effects on innovation may be misleading.

The market-power effect captures how changes in output following a merger affect innovation incentives. Specifically, when a merger reduces output, it typically diminishes firms’ incentives to innovate when innovation would increase their margins (Bourreau et al., 2024). But the authors also show that this effect’s magnitude and direction can vary depending on how the merger affects the return to investment per-unit of output.

The externality effect, meanwhile, encompasses two distinct mechanisms. First, merged entities internalize the impact of each firm’s innovation on the other firm’s demand—what the authors deem the “innovation diversion effect.” Second, mergers affect firms’ margins and therefore their incentives to innovate when innovation increases sales, termed the “demand expansion effect” (Bourreau et al., 2024). Importantly, the authors demonstrate that the externality effect’s direction depends on the relative magnitude of price-diversion versus innovation-diversion ratios.

This framework helps to explain why policies that uniformly restrict mergers may have unintended consequences for innovation. Igor Letina, Armin Schmutzler, and Regina Seibel demonstrate that prohibiting acquisitions can have a weakly negative effect on innovation, even when such policies may enhance static competition.[76] Their research identifies that this effect operates through multiple channels, including reduced incentives for startup investment when exit through acquisition is foreclosed. This finding suggests that merger policy must carefully balance static competition benefits against potential dynamic innovation effects.

The Guidelines should therefore avoid adopting what might be called a “structuralist innovation presumption”—i.e., the assumption that more firms in a market will necessarily produce greater innovation. Such a presumption would be at odds with the economic literature. The Guidelines should also recognize that innovation effects may sometimes diverge from price effects. A merger might increase market power, while simultaneously enhancing innovation output through various mechanisms, including:

  1. Greater ability to internalize R&D spillovers;
  2. Enhanced capacity to undertake large, risky investments; and
  3. Improved ability to coordinate complementary innovative assets.

The telecommunications industry provides instructive evidence of such divergent effects. Research examining “4-to-3” mobile-carrier mergers has found that, while price effects were ambiguous, capital expenditures—a key proxy for investment and innovation —consistently increased post-merger.[77] This aligns with findings that markets with three facilities-based operators often saw the highest levels of per-firm investment, suggesting stronger incentives for infrastructure development and technological advancement. Similarly, Elena Patel and Nathan Seegert found that “hospitals in concentrated markets increased investment by 5.1 percent more than firms in competitive markets.”[78]

To properly assess innovation effects, the Guidelines should adopt a framework that:

  1. Evaluates both short-term price effects and longer-term dynamic efficiency gains;
  2. Considers the full range of innovation-related variables, including R&D investment, patent activity, and new product introductions;
  3. Accounts for industry-specific factors that may influence the relationship between concentration and innovation;
  4. Recognizes that incumbent firms, and not just new entrants, can be important sources of innovation; and
  5. Maintains flexibility in market definition when analyzing innovation markets, particularly for early-stage R&D.

VI. The Repeal of the Efficiency Exception

Bill C-56 repealed the efficiency defense in Canadian merger review. Prior to the repeal, this provision meant that a merger’s anticompetitive effects could be weighed against cost savings. As Aaron Wudrick has argued: “[The efficiency defense] was an explicit acknowledgment that there are tradeoffs involved in competition.”[79] Indeed, tradeoffs under uncertainty are endemic in competition law. This is magnified in the context of merger review where, rather than addressing past misconduct, authorities must predict whether a transaction is likely to harm competition in the future.

The repeal of the efficiency defense was unfortunate. But while efficiencies are no longer relevant under s.96 of the Competition, as Wudrick points out, an efficiency defense can arguably still be invoked as “other factors” under s.93 of the Competition Act.[80] If this is the case, as it should indeed be interpreted, the Guidelines should expressly state this, and clearly establish how and when this should be claimed and proved (and who bears the burden of proof). This would help economic agents to have predictability (a fundamental characteristic of the rule of law), whether in the planning of their investments, in the structuring of their operations, or as part of the merger-control procedure.

Efficiency, after all, is the basic objective of antitrust law. Competition is not an end in itself, but rather a means to an end. We protect competition because market competition is generally the most effective way to ensure the efficient allocation of resources.[81] That is why most competition-enforcement regimes recognize that a merger that may have significant anticompetitive effects should nevertheless be permitted if it would also result in efficiency improvements that are greater than the anticompetitive effects.[82]

Efficiencies, of course, are difficult to quantify and verify. The burden of proof of the efficiencies gained through the merger should be mainly on the merging firms, considering they are the lowest-cost producer of such information.

Considering the wording of s.93, the Guidelines could follow the structure of, and include similar rules and procedures as, the European Commission’s Guidelines on the assessment of horizontal mergers,[83] which establish that:

… the Commission performs an overall competitive appraisal of the merger. In making this appraisal, the Commission takes into account the factors mentioned in Article 2(1), including the development of technical and economic progress provided that it is to the consumers’ advantage and does not form an obstacle to competition.[84]

The Commission’s guidelines, however, include a high burden of proof to accept these efficiencies, establishing that “efficiencies should be substantial and timely, and should, in principle, benefit consumers in those relevant markets where it is otherwise likely that competition concerns would occur.”[85] The bar shouldn’t be set that high, given that most mergers are pro-competitive. Projections of efficiencies should be accepted if they can be verified by reasonable means and under a preponderance-of-the-evidence standard.

VII. So-Called ‘Killer Acquisitions’ Don’t Merit a Departure from Current Standards

The consultation asks if the current guidelines “sufficiently address mergers involving nascent competitors,” which may include so-called “killer acquisitions.” While the “killer acquisitions” theory has captured the attention of scholars and authorities, and some consider them a material risk to competition (particularly in technology markets),[86] the evidence of real harm is weak. This is because the “killer acquisitions” theory does not differentiate between legitimate and efficient discontinuations of acquired products and the elimination of potential competitors.[87] Acquisitions of nascent and potential competitors undertaken with the intention of reducing competition have also been described as “killer acquisitions,” even if the acquisitions do not involve products being discontinued.[88]

Along similar lines, it is sometimes argued that large tech firms create so-called “kill zones” around their core businesses.[89] All of these practices are said to harm innovation by deterring competitors from investing in innovations that compete with incumbents.[90] The overarching theme of the above research is that existing antitrust doctrine is ill-equipped to handle these practices or, at the very least, that antitrust law should be enforced more vigorously in these settings.

But while the above research identifies important and potentially harmful conduct that cannot be dismissed out of hand, it is important to recognize its inherent limitations when it comes to informing normative policy decisions. Indeed, there is a vast difference between identifying categories of conduct that sometimes harm consumers and being able to isolate individual instances of anticompetitive behavior.[91] The above is merely a restatement of the error-cost framework, which highlights that the existence of false negatives is not a sufficient condition for heightened intervention:

The fact—if it can be proved—that there were some false negatives does not imply that there has been underenforcement with respect to the optimal level of enforcement. In other words, in the digital space the argument can be made that an optimal merger policy on average leads to ex-post “underenforcement.” Moreover, even if the level of enforcement has been lower than optimal, one must be careful not to swing to the opposite side, especially in high-tech industries. The chilling effect on innovation could be significant.[92]

Instead, it must always be the case that a change to the standards of government intervention to prevent more of these false negatives (with their inherent tradeoffs) ultimately increases social welfare overall.[93]

Take the example of Google. The company has acquired at least 270 companies over the last two decades.[94] It has been argued that some of Google’s acquisitions—including those of YouTube, Waze, and DoubleClick—may have been anticompetitive.[95] The real test for regulators, however, is whether they could reliably identify which of Google’s 270 acquisitions are actually anticompetitive, and to do so under a decision rule that causes less harm to consumers from false positives than is caused by the current false negatives.[96] If the anticompetitive mergers are such a tiny percentage of total mergers, and if identifying them a priori is difficult, then a precautionary-principle strategy that results in many false positives would likely not merit the benefits from blocking one or two anticompetitive mergers.

Indeed, but for Google and Facebook’s investments in YouTube and Instagram, respectively, it is far from clear that a mere “video-hosting service” or “photo-sharing app” would have grown into the robust competitors that advocates assume. Apart from the potential synergies arising from the combination of these products with the acquiring companies’ other products,[97] corporate control by the acquiring company may lead to these firms being better managed. This concept of M&A as creating a “market for corporate control” adds an important new dimension to the understanding of the tradeoffs involved in merger control.[98]

These anticompetitive theories of harm can be separated into three broad categories: (1) large incumbents have become so dominant in their primary markets that venture capitalists decline to fund startups that compete head-on, reducing potential competition; (2) large incumbents acquire potential competitors or non-competitor startups so as to reduce the competition along several dimensions, and (3) incumbents purchase competitors to shut down their overlapping innovation pipelines (i.e., “killer acquisitions”). With this in mind, applying the error-cost framework should lead policymakers to carefully consider the following questions when evaluating the merits and policy implications of economic research in this space:

  1. Do the papers advancing these theories identify categories of conduct that, on average, harm consumer welfare?
  2. If not, do the papers identify additional factors that would enable authorities to infer the existence of anticompetitive effects in individual cases?
  3. If so, would it be feasible for authorities to add these factors to their analysis (in terms of time and resources)?
  4. Finally, would prohibiting these practices at an individual or category level prevent efficiencies that would otherwise outweigh these anticompetitive harms? And could these efficiencies be analyzed on a case-by-case basis?

In addition to these error-cost-related questions, we must also question whether the results of these studies are relevant outside the specific markets they examine, and whether they give sufficient weight to countervailing procompetitive justifications.

The above suggests that authorities should consider the full picture before doing away with existing presumptions. For instance, while lowering merger-filing thresholds may enable enforcers to review and block some anticompetitive mergers that currently go unchallenged, it will also have other costs for which enforcement agencies must account. Indeed, lowering filing thresholds will significantly increase the number of mergers that agencies must review. This will increase enforcement costs, delay the clearance of some socially beneficial deals, and stretch agency resources (potentially leading to certain deals receiving less attention than is currently the case, which may increase both false positives and negatives).

[1] Reviewing the Merger Enforcement Guidelines,  Government of Canada, The Competition Bureau (Nov. 7, 2024), https://competition-bureau.canada.ca/how-we-foster-competition/education-and-outreach/reviewing-merger-enforcement-guidelines.

[2] An Act to Amend the Excise Tax Act and the Competition Act, 2023 (Bill C-56)(Can.).

[3] An Act to Implement Certain Provisions of the Fall Economic Statement Tabled in Parliament on November 21, 2023 and Certain Provisions of the Budget Tabled in Parliament on March 28, 2023 (Bill C-59)(Can.).

[4] Geoffrey A. Manne, Dirk Auer, Aaron Wudrick, & Mario Zúñiga, Comments of the International Center for Law & Economics and the Macdonald-Laurier Institute: Competition Bureau Canada Public Consultation on ‘Artificial Intelligence and Competition’ Discussion Paper, Int’l. Ctr. Law Econ (Aug. 13, 2024), available at https://laweconcenter.org/wp-content/uploads/2024/08/Comments-of-the-ICLE-Merger-Consultarion-AUS.pdf.

[5] Artificial Intelligence and Competition Discussion Paper, Competition Bureau of Canada (Mar. 20, 2024), https://competition-bureau.canada.ca/how-we-foster-competition/education-and-outreach/artificial-intelligence-and-competition.

[6] International Center for Law & Economics, https://laweconcenter.org.

[7] Competition Act, 1985 (R.S.C., C-34) s.92.2. (Can.).

[8] (“Market concentration is a useful, but imperfect, indicator of the competitive harm that may result from a merger”).

[9] See Harold Demsetz, Industry Structure, Market Rivalry, and Public Policy, 16 J.L. & Econ. 1 (1973); see also, e.g., Richard Schmalensee, Inter-Industry Studies of Structure and Performance, in 2 Handbook of Industrial Organization 951-1009 (Richard Schmalensee & Robert Willig, eds., 1989); William N. Evans, Luke M. Froeb, & Gregory J. Werden, Endogeneity in the Concentration-Price Relationship: Causes, Consequences, and Cures, 41 J. Indus. Econ. 431 (1993); Steven Berry, Market Structure and Competition, Redux, FTC Micro Conference (Nov. 2017), available at https://www.ftc.gov/system/files/documents/public_events/1208143/22_-_steven_berry_keynote.pdf; Nathan Miller et al., On the Misuse of Regressions of Price on the HHI in Merger Review, 10 J. Antitrust Enforcement 248 (2022).

[10] Harold Demsetz, The Intensity and Dimensionality of Competition, in Harold Demsetz, The Economics of The Business Firm: Seven Critical Commentaries 137, 140-41 (1995).

[11] Supra note 9.

[12] Shanat Ganapati, Growing Oligopolies, Prices, Output, and Productivity, 13(3) Am. Econ. J. Microecon. 309-327, 324 (Aug. 2021).

[13] Id., at 309.

[14] Timothy F. Bresnahan, Empirical Studies of Industries with Market Power, in HANDBOOK OF INDUSTRIAL ORGANIZATION, 1011, 1053-54 (Richard Schmalensee & Robert Willig, eds., 1989).

[15] Chad Syverson, Macroeconomics and Market Power: Context, Implications, and Open Questions, 33(3) J. Econ. Perspect. 23-43, 26 (2019).

[16] Nicolas Petit & Lazar Radic, The Necessity of the Consumer Welfare Standard in Antitrust Analysis, ProMarket (Dec. 18, 2023), https://www.promarket.org/2023/12/18/the-necessity-of-a-consumer-welfare-standard-in-antitrust-analysis.

[17] For example, in the EU, 94% of mergers are cleared without commitments, whereas only about 6% are allowed with remedies, and less than 0.5% of mergers are blocked or withdrawn by the parties. See Joanna Piechucka, Tomaso Duso, Klaus Gugler, & Pauline Affeldt, Using Compensating Efficiencies to Assess EU Merger Policy, VoxEU (Jan. 10, 2022), https://cepr.org/voxeu/columns/using-compensating-efficiencies-assess-eu-merger-policy; see also, Robert Kulick & Andre Card, Mergers, Industries, and Innovation: Evidence from R&D Expenditure and Patent Applications, NERA Economic Consulting (Feb. 2023), available at https://www.uschamber.com/assets/documents/NERAMergers-and-Innovation-Feb-2023.pdf (finding that mergers are responsible for as much as $13.5 billion in increased research and development expenditure annually).

[18] Aaron Wudrick, The View from Canada: A TOTM Q&A with Aaron Wudrick, Truth on the Market (Jun. 12, 2024), https://truthonthemarket.com/2024/06/12/the-view-from-canada-a-totm-qa-with-aaron-wudrick.

[19] Id.

[20] Id.

[21] On the uncertain legacy of neo-Brandeisianism, see Dirk Auer & Lazar Radic, The Legacy of Neo-Brandeisianism: History or Footnote? Network Law Review (Jul. 9, 2024) https://www.networklawreview.org/auer-radic-brandeisianism.

[22] Supra note 1.

[23] See, e.g., Suresh Naidu, Eric A. Posner, & Glen Weyl, Antitrust Remedies for Labor Market Power, 132 Harv. L. Rev. 536 (2018).

[24] For a full review of the labor-monopsony literature and how it relates to antitrust, see Brian C. Albrecht, Dirk Auer, & Geoffrey A. Manne, Labor Monopsony and Antitrust Enforcement: A Cautionary Tale, ICLE White Paper No. 2024-05-01, available at https://laweconcenter.org/wp-content/uploads/2024/05/Labor-Monopsony-Antitrust-final-.pdf.

[25] Supra note 1 (citing Jose Azar, Iona Marinescu, & Marshall Steinbaum, Labor Market Concentration, 57 J. Hum. Res. S167, S197 (Supp. 2022).

[26] See Elizabeth Weber Handwerker & Matthew Dey, Some Facts About Concentrated Labor Markets in the United States, 63 Indus. Rel. 132, 135 (2023).

[27] Efraim Benmelech, Nittai K. Bergman, & Hyunseob Kim, Strong Employers and Weak Employees, How Does Employer Concentration Affect Wages?, 57 J. Hum. Res. S200 (Supp. 2022)

[28] Ivan Kirov & James Traina, Labor Market Power and Technological Change in US Manufacturing, conference paper for Institute for Labor Economics (Oct. 2022), at 42, available at https://conference.iza.org/conference_files/Macro_2022/traina_j33031.pdf.

[29] Steven Berry, Martin Gaynor, & Fiona Scott Morton, Do Increasing Markups Matter? Lessons from Empirical Industrial Organization, 33 J. Econ. Persp. 44, 57 (2019) (emphasis added).

[30] Transcript: Public Workshop on Competition in Labor Markets, Antitrust Div. of the U.S. Justice Dep’t (Sep. 23, 2019), available at https://www.justice.gov/atr/page/file/1209071/download.

[31] Keith Brand, Martin Gaynor, Patrick McAlvanah, David Schmidt, & Elizabeth Schneirov, Economics at the FTC: Office Supply Retailers Redux, Health Care Quality Efficiencies Analysis, and Litigation of an Alleged Get Rich Quick Scheme, 45 Rev. Indus. Org. 325 (2014).

[32] Id.

[33] Some efficiency-enhancing mergers will be identifiable, of course. For example, if the merger raises quantities and prices for all inputs, that must be efficiency-enhancing. The problem, as always, is with the hard cases.

[34] Herbert Hovenkamp, What Big-Tech Antitrust Gets Wrong, Financial Times (Jan. 19, 2024), https://www.ft.com/content/4eec8bc3-c892-4704-ae66-a4432c6d4fd7.

[35] Geoffrey A. Manne & Dirk Auer, Antitrust Dystopia and Antitrust Nostalgia: Alarmist Theories of Harm in Digital Markets and Their Origins, 28 Geo. Mason. L. Rev. 1281, 1286 (2021). (“Underlying this pessimism is a pervasive assumption that new technologies will somehow undermine the competitiveness of markets, imperil innovation, and entrench dominant technology firms for decades to come. This is a form of antitrust dystopia. For its proponents, the future ushered in by digital platforms will be a bleak one—despite abundant evidence that information technology and competition in technology markets have played significant roles in the positive transformation of society”).

[36] John M. Yun, The Role of Big Data in Antitrust, in The Global Antitrust Institute Report on the Digital Economy (Joshua D. Wright & Douglas H. Ginsburg, eds., Nov. 11, 2020) at 233, https://gaidigitalreport.com/2020/08/25/big-data-and-barriers-to-entry/#_ftnref50; see also, e.g., Robert Wayne Gregory, Ola Henfridsson, Evgeny Kaganer, & Harris Kyriakou, The Role of Artificial Intelligence and Data Network Effects for Creating User Value, 46 Acad. Of. Mgmt. Rev. 534 (2020), final pre-print version at 4, http://wrap.warwick.ac.uk/134220 (“A platform exhibits data network effects if, the more that the platform learns from the data it collects on users, the more valuable the platform becomes to each user.”); see also Karl Schmedders, José Parra-Moyano, & Michael Wade, Why Data Aggregation Laws Could be the Answer to Big Tech Dominance, Silicon Republic (Feb. 6, 2024), https://www.siliconrepublic.com/enterprise/data-ai-aggregation-laws-regulation-big-tech-dominancecompetition-antitrust-imd.

[37] See also Consultation. (“Strong network effects may make certain digital markets prone to ‘tipping’ (where a single dominant firm, or group of firms, emerges in the market), especially when combined with economies of scale and scope or the use of large volumes of data.”).

[38] Nathan Newman, Search, Antitrust, and the Economics of the Control of User Data, 31 Yale J. Reg. 401, 409 (2014) (emphasis added); see also id. at 420 & 423 (“While there are a number of network effects that come into play with Google, [‘its intimate knowledge of its users contained in its vast databases of user personal data’] is likely the most important one in terms of entrenching the company’s monopoly in search advertising…. Google’s overwhelming control of user data… might make its dominance nearly unchallengeable.”).

[39] See also Yun, supra note 36, at 229 (“[I]nvestments in big data can create competitive distance between a firm and its rivals, including potential entrants, but this distance is the result of a competitive desire to improve one’s product.”).

[40] For a review of the literature on increasing returns to scale in data (this topic is broader than data-network effects), see Manne & Auer, supra note 35, at 1281, 1344.

[41] Andrei Hagiu & Julian Wright, Data-Enabled Learning, Network Effects, and Competitive Advantage, 54 Rand J. Econ. 638 (2023).

[42] Id. at 639. The authors conclude that “Data-enabled learning would seem to give incumbent firms a competitive advantage. But how strong is this advantage and how does it differ from that obtained from more traditional mechanisms…”

[43] Id.

[44] See Jason Furman, Diane Coyle, Amelia Fletcher, Derek McAuley, & Philip Marsden (Dig. Competition Expert Panel), Unlocking Digital Competition (2019), at 32-35 (“Furman Report”), available at https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/785547/unlocking_digital_competition_furman_review_web.pdf.

[45] Id. at 34.

[46] Id. at 35. To its credit, it should be noted, the Furman Report counsels caution before mandating access to data as a remedy to promote competition. See id. at 75. With that said, the Furman Report maintains that such a remedy should be on the table, because “the evidence suggests that large data holdings are at the heart of the potential for some platform markets to be dominated by single players and for that dominance to be entrenched in a way that lessens the potential for competition for the market.” Id. In fact, the evidence does not show this.

[47] See, e.g., Natasha Lomas, EU Checking if Microsoft’s OpenAI Investment Falls Under Merger Rules, TechCrunch (Jan. 9, 2024), https://techcrunch.com/2024/01/09/openai-microsoft-eu-merger-rules; Amended Complaint, In the Matter of Meta Platforms Inc., Mark Zuckerberg, & Within Unlimited Inc. (No. 605837), Fed. Trade Comm’n. (Oct. 13, 2022), at 11, available at https://www.ftc.gov/system/files/ftc_gov/pdf/D09411%20-%20AMENDED%20COMPLAINT%20FILED%20BY%20COUNSEL%20SUPPORTING%20THE%20COMPLAINT%20-%20PUBLIC%20%281%29_0.pdf.

[48] Catherine Tucker, Digital Data, Platforms and the Usual [Antitrust] Suspects: Network Effects, Switching Costs, Essential Facility, 54 Rev. Indus. Org. 683, 686 (2019).

[49] Auer & Manne, supra note 35, at 1345.

[50] See Yun, supra note 36, at 235 (“Even if data is primarily responsible for a platform’s quality improvements, these improvements do not simply materialize with the presence of more data—which differentiates the idea of data-driven network effects from direct network effects. A firm needs to intentionally transform raw, collected data into something that provides analytical insights. This transformation involves costs including those associated with data storage, organization, and analytics, which moves the idea of collecting more data away from a strict network effect to more of a ‘data opportunity.’”).

[51] See, e.g., Cristina Caffarra, Gregory S. Crawford, & Tommaso Valletti, “How Tech Rolls”: Potential Competition and “Reverse” Killer Acquisitions, Antitrust Chronicle (May 26, 2020) (“Large digital platforms in particular have exceptional abilities to pursue organic expansion but also opportunities to ‘roll up’ (willing) startups to ‘get there faster’, ‘buying’ instead of expending effort in rival innovation. Foregoing such effort is never good for consumers and society as a whole: while innovative effort is costly, it will often yield multiple providers and differentiated services, with socially desirable properties.”).

[52] Id.

[53] See, e.g., Steven C. Salop, Potential Competition and Antitrust Analysis: Monopoly Profits Exceed Duopoly Profits, Working Paper (Apr. 28, 2021), available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3839631; see also C. Scott Hemphill & Tim Wu, Nascent Competitors, 168 U. Pa. L. Rev. 1879 (2019).

[54] See, e.g., Salop, id. See also Giulio Federico, Gregor Langus, & Tommaso Valletti, Horizontal Mergers and Product Innovation, 59 Int’l J. Indus. Org. 1 (2018).

[55] U.S. Dep’t of Justice, Antitrust Div. & F.T.C., Vertical Merger Guidelines 1 (2020).

[56] David Reiffen & Michael Vita, Comment: Is There New Thinking on Vertical Mergers? 63 Antitrust L.J. 917, 920 (1995).

[57] Henry Ogden Armour & David J. Teece, Vertical Integration and Technological Innovation, 62 Rev. Econ. & Stat. 470 (1980).

[58] Dennis W. Carlton, Transaction Costs and Competition Policy, 73 Int’l J. Indus. Org. 1 (2019); Oliver Williamson, The Economic Institutions of Capitalism 86 (1985).

[59] On this point, see Sam Bowman & Sam Dimitriu, Better Together: The Procompetitive Effects of Mergers in Tech, The Entrepreneurs Network (Sep. 13, 2021), https://www.tenentrepreneurs.org/research/better-together-the-procompetitive-effects-of-mergers-in-tech (arguing that acquisition is a key route to exit for entrepreneurs).

[60] Supra note 1, Section 2.8.

[61] Id.

[62] On non-price dimensions of the consumer-welfare standard, see Nicolas Petit & Lazar Radic, The Superiority of the Consumer Welfare Standard, EUI Law Working Paper 2024/20, 16-19 (2024).

[63] U.S. Dep’t of Justice & F.T.C., Horizontal Merger Guidelines (2010), available at https://www.justice.gov/sites/default/files/atr/legacy/2010/08/19/hmg-2010.pdf.

[64] Statement of the Federal Trade Commission, Google/DoubleClick, No. 071-0170, available at https://www.ftc.gov/system/files/documents/public_statements/418081/071220googledc-commstmt.pdf.

[65] Douglas A. Melamed & Nicolas Petit, The Misguided Attack on the Consumer Welfare Standard in the Age of Platform Markets. 54 Rev. Indus. Org. 741, 753 (2019).

[66] See, e.g., Alastair R. Beresford, Dorothea Ku?bler, & So?ren Preibusch, Unwillingness to Pay for Privacy: A Field Experiment (SFB 649 Discussion Paper 2011-010, 2011), available at https://ftp.iza.org/dp5017.pdf; Jens Grossklags & Alessandro Acquisti, When 25 Cents Is Too Much: An Experiment on Willingness-to-Sell and Willingness-to-Protect Personal Information, in Proceedings of the Sixth Workshop on the Economics of Information Security (2007), available at https://econinfosec.org/archive/weis2007/papers/66.pdf; Mary Ellen Gordon, The History of App Pricing, and Why Most Apps are Free, The Flurry Blog (Jul. 18, 2013), http://blog.flurry.com/bid/99013/The-History-of-App-Pricing-AndWhy-Most-Apps-Are-Free.

[67] Though not the only important explanation of the quality of the algorithm, data collection—especially for indexing purposes—has been a bigger driver of Google’s success. See, e.g., Daisuke Wakabayashi, Google Dominates Thanks to an Unrivaled View of the Web, N.Y. Times (Dec. 14, 2020), https://www.nytimes.com/2020/12/14/technology/howgoogle-dominates.html.

[68] See, e.g., Canada’s Privacy Act, the Charter of Rights and Freedoms, the Criminal Code, local government’s personal information-protection laws, the Personal Information Protection and Electronic Documents Act (PIPEDA), among others.

[69] See, e.g., Consultation. (“The Competition Tribunal previously described innovation as ‘the most important type of competition’ and confirmed that harm to dynamic competition and innovation can be central to a finding of substantial prevention or lessening of competition”)(references omitted for coherence).

[70] See generally, Section I.

[71] Richard J. Gilbert, Innovation Matters: Competition Policy for the High-Technology Economy, 116 (2020)

[72] Ronald L. Goettler & Brett R. Gordon, Does AMD Spur Intel to Innovate More?, 119 J. Pol. Econ. 1141, 1141 (2011)

[73] Mitsuru Igami, Estimating the Innovator’s Dilemma: Structural Analysis of Creative Destruction in the Hard Disk Drive Industry, 1981–1998, 125 J. Pol. Econ. 798, 798 (2017)

[74] Philippe Aghion, Nick Bloom, Richard Blundell, Rachel Griffith, & Peter Howitt, Competition and Innovation: An Inverted-U Relationship, 120 Q. J. Econ. 702 (2005).

[75] Marc Bourreau, Bruno Jullien, & Yassine Lefouili, Horizontal Mergers and Incremental Innovation, HAL Open Science (2024), available at https://hal.science/hal-04790973v1/document.

[76] Igor Letina, Armin Schmutzler, & Regina Seibel, Killer Acquisitions and Beyond: Policy Effects on Innovation Strategies, 65 Int. Ec. Rev. 591-622 (Feb. 20, 2024), https://onlinelibrary.wiley.com/doi/10.1111/iere.12689.

[77] Eric Fruits, Justin (Gus) Hurwitz, Geoffrey A. Manne, Julian Morris, & Alec Stapp, Static and Dynamic Effects of Mergers: A Review of the Empirical Evidence in the Wireless Telecommunications Industry, OECD Directorate for Financial and Enterprise Affairs Competition Committee, Global Forum on Competition, DAF/COMP/GF(2019)13 (Sep. 4, 2020), available at https://one.oecd.org/document/DAF/COMP/GF(2019)13/en/pdf.

[78] Elena Patel & Nathan Seegert, Does Market Power Encourage or Discourage Investment? Evidence From the Hospital Market, 63 J.L. Econ. 667, 667 (2020)

[79] Supra note 18.

[80] Id. See also Competition Act, s.93(h).

[81] OECD, Interim Report on Convergence of Competition Policies, GD(94)64, at Annex, para. 4

[82] Id. See, e.g., the 2010 HMGs and European Commission’s Merger Regulation, Council Regulation No. 139/2004 (Jan. 20, 2004).

[83] Guidelines on the Assessment of Horizontal Mergers Under the Council Regulation on the Control of Concentrations Between Undertakings, C 31/03, European Commission (2004).

[84] Id., para 76.

[85] Id., para 79.

[86] Jonathan Barnett, “Killer Acquisitions” Reexamined: Economic Hyperbole in the Age of Populist Antitrust, 3 U. Chic. Law Rev. 39 (2023), at 42.

[87] See, e.g., Axel Gautier & Joe Lamesch, Mergers in the Digital Economy, 54 Info. Econ. & Pol’y (2000) (“There are three reasons to discontinue a product post acquisition: the product is not as successful as expected, the acquisition was not motivated by the product itself but by the target’s assets or R&D effort, or by the elimination of a potential competitive threat. While our data does not enable us to screen between these explanations, the present analysis shows that most of the startups are killed in their infancy.”).

[88] John M. Yun, Potential Competition, Nascent Competitors, and Killer Acquisitions, 18 Global Antitrust Institute Report on the Digital Economy 652, 652–53 (2020).

[89] Sai Krishna Kamepalli, Raghuram Rajan, & Luigi Zingales, Kill Zone (NBER Working Paper 85, 2020), at 40

[90] Colleen Cunningham, Florian Ederer, & Song Ma, Killer Acquisitions, 129 J. Pol. Econ. 649-702 (2021), at 694.

[91] It remains important to distinguish conduct that harms consumers overall from conduct that merely harms certain parameters of competition, while improving others. In other words, antitrust law should prohibit conduct when the category to which that conduct belongs is generally harmful to consumers and/or when harmful occurrences of that conduct can be readily distinguished. See, e.g., Eric Fruits et al., supra note 77 at 18 (“Studies that do not consider these [non-price] effects are incomplete for purposes of evaluating the mergers’ consumer welfare effects, and [are] all-too easily used by advocates to misleadingly predict negative consumer outcomes. This is not necessarily a criticism of the studies themselves, which generally do not make comprehensive policy conclusions. The reality is that it is exceptionally difficult to comprehensively study even price effects, such that a well conducted study of price effects alone is a valuable contribution to the literature. Nevertheless, in the context of evaluating prospective transactions, the results of such studies must be discounted to account for their exclusion of non-price effects.”).

[92] Luís Cabral, Merger Policy in Digital Industries (CEPR Discussion Paper No. DP14785, May 2020), at 12, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3612854.

[93] See Carl Shapiro, Antitrust in a Time of Populism, 61 Int’l J. Indus. Org. 714, 741 (2018).

[94] See id. at 740.

[95] Id.

[96] Id.

[97] For example, YouTube’s search and recommendations engines being developed by Google, the world’s leading internet-search company, or Instagram’s ad platform being integrated with Facebook’s.

[98] See Henry G. Manne, Mergers and the Market for Corporate Control, 73 J. Pol. Econ. 110 (1965), at 117–19.

Regulatory Comments

The View from Canada: A TOTM Q&A with Aaron Wudrick

Aaron, could you please tell us a bit about your background and how you became interested in competition law and digital-competition regulation?

I’m a lawyer by profession, but have taken a somewhat unconventional career path—I started as a litigator in a small general practice in my hometown outside Toronto, moved on to corporate law with one the world’s biggest law firms in London, Hong Kong, and Abu Dhabi, and then came back to Canada, where I moved through roles in polling and market research, lobbying, and tax advocacy. For the last three years, I’ve run the Domestic Policy Program at the Macdonald-Laurier Institute, an Ottawa-based think tank. Competition law—and especially the emergence of dominant digital players—has been one of my biggest files, primarily because it has become so politically salient in recent years.

Read the full piece here.

TOTM

Bill C-59 and the Use of Structural Merger Presumptions in Canada

We, the undersigned, are scholars from the International Center for Law & Economics (ICLE) with experience in the academy, enforcement agencies, and private practice in competition law. We write to address a key aspect of proposed amendments to Canadian competition law. Specifically, we focus on clauses in Bill C-59 pertinent to mergers and acquisitions and, in particular, the Bureau of Competition’s recommendation that the Bill should:

Amend Clauses 249-250 to enact rebuttable presumptions for mergers consistent with those set out in the U.S. Merger Guidelines.[1]

The Bureau’s recommendation seeks to codify in Canadian competition law the structural presumptions outlined in the 2023 U.S. Federal Trade Commission (FTC) and U.S. Justice Department (DOJ) Merger Guidelines.  On balance, however, adoption of that recommendation would impede, rather than promote, fair competition and the welfare of Canadian consumers.

The cornerstone of the proposed change lies in the introduction of rebuttable presumptions of illegality for mergers that exceed specified market-share or concentration thresholds. While this approach may seem intuitive, the economic literature and U.S. enforcement experience militate against its adoption in Canadian law.

The goal of enhancing—indeed, strengthening—Canadian competition law should not be conflated with the adoption of foreign regulatory guidelines. The most recent U.S. Merger Guidelines establish new structural thresholds, based primarily on the Herfindahl-Hirschman Index (HHI) and market share, to establish presumptions of anticompetitive effects and illegality. Those structural presumptions, adopted a few short months ago, are inconsistent with established economic literature and are untested in U.S. courts. Those U.S. guidelines should not be codified in Canadian law without robust deliberation to ensure alignment with Canadian legal principles, on the one hand, and with economic realities and evidence, on the other.

Three points are especially important. First, concentration measures are widely considered to be a poor proxy for the level of competition that prevails in a given market. Second, lower merger thresholds may lead to enforcement errors that discourage investment and entrepreneurial activity and allocate enforcement resources to the wrong cases. Finally, these risks are particularly acute when concentration thresholds are used not as useful indicators but, instead, as actual legal presumptions (albeit rebuttable ones). We discuss each of these points in more detail below.

What Concentration Measures Can and Cannot Tell Us About Competition

While the use of concentration measures and thresholds can provide a useful preliminary-screening mechanism to identify potentially problematic mergers, substantially lowering the thresholds to establish a presumption of illegality is inadvisable for several reasons.

First, too strong a reliance on concentration measures lacks economic foundation and is likely prone to frequent error. Economists have been studying the relationship between concentration and various potential indicia of anticompetitive effects—price, markup, profits, rate of return, etc.—for decades.[2] There are hundreds of empirical studies addressing this topic.[3]

The assumption that “too much” concentration is harmful assumes both that the structure of a market is what determines economic outcomes and that anyone could know what the “right” amount of concentration is. But as economists have understood since at least the 1970s (and despite an extremely vigorous, but futile, effort to show otherwise), market structure does not determine outcomes.[4]

This skepticism toward concentration measures as a guide for policy is well-supported, and is held by scholars across the political spectrum.  To take one prominent, recent example, professors Fiona Scott Morton (deputy assistant U.S. attorney general for economics in the DOJ Antitrust Division under President Barack Obama, now at Yale University); Martin Gaynor (former director of the FTC Bureau of Economics under President Obama, now serving as special advisor to Assistant U.S. Attorney General Jonathan Kanter, on leave from Carnegie Mellon University), and Steven Berry (an industrial-organization economist at Yale University) surveyed the industrial-organization literature and found that presumptions based on measures of concentration are unlikely to provide sound guidance for public policy:

In short, there is no well-defined “causal effect of concentration on price,” but rather a set of hypotheses that can explain observed correlations of the joint outcomes of price, measured markups, market share, and concentration.…

Our own view, based on the well-established mainstream wisdom in the field of industrial organization for several decades, is that regressions of market outcomes on measures of industry structure like the Herfindahl-Hirschman Index should be given little weight in policy debates.[5]

As Chad Syverson recently summarized:

Perhaps the deepest conceptual problem with concentration as a measure of market power is that it is an outcome, not an immutable core determinant of how competitive an industry or market is… As a result, concentration is worse than just a noisy barometer of market power. Instead, we cannot even generally know which way the barometer is oriented.[6]

This does not mean that concentration measures have no use in merger screening. Rather, market concentration is often unrelated to antitrust-enforcement goals because it is driven by factors that are endogenous to each industry. Enforcers should not rely too heavily on structural presumptions based on concentration measures, as these may be poor indicators of the instances in which antitrust enforcement is most beneficial to competition and consumers.

At What Level Should Thresholds Be Set?

Second, if concentration measures are to be used in some fashion, at what level or levels should they be set?

The U.S. 2010 Horizontal Merger Guidelines were “b?ased on updated HHI thresholds that more accurately reflect actual enforcement practice.”[7] These numbers were updated in 2023, but without clear justification. While the U.S. enforcement authorities cite several old cases (cases that implicated considerably higher levels of concentration than those in their 2023 guidelines), we agree with comments submitted in 2022 by now-FTC Bureau of Economics Director Aviv Nevo and colleagues, who argued against such a change. They wrote:

Our view is that this would not be the most productive route for the agencies to pursue to successfully prevent harmful mergers, and could backfire by putting even further emphasis on market definition and structural presumptions.

If the agencies were to substantially change the presumption thresholds, they would also need to persuade courts that the new thresholds were at the right level. Is the evidence there to do so? The existing body of research on this question is, today, thin and mostly based on individual case studies in a handful of industries. Our reading of the literature is that it is not clear and persuasive enough, at this point in time, to support a substantially different threshold that will be applied across the board to all industries and market conditions. (emphasis added) [8]

Lower merger thresholds create several risks. One is that such thresholds will lead to excessive “false positives”; that is, too many presumptions against mergers that are likely to be procompetitive or benign. This is particularly likely to occur if enforcers make it harder for parties to rebut the presumptions, e.g., by requiring stronger evidence the higher the parties are above the (now-lowered) threshold. Raising barriers to establishing efficiencies and other countervailing factors makes it more likely that procompetitive mergers will be blocked. This not only risks depriving consumers of lower prices and greater innovation in specific cases, but chills beneficial merger-and-acquisition activity more broadly. The prospect of an overly stringent enforcement regime discourages investment and entrepreneurial activity. It also allocates scarce enforcement resources to the wrong cases.

Changing the Character of Structural Presumptions

Finally, the risks described above are particularly acute, given the change in the character of structural presumptions described in the U.S. Merger Guidelines. The 2023 Merger Guidelines—and only the 2023 Merger Guidelines—state that certain structural features of mergers will raise a “presumption of illegality.”[9]

U.S. merger guidelines published in 1982,[10] 1992 (revised in 1997),[11] and 2010[12] all describe structural thresholds seen by the agencies as pertinent to merger screening. None of them mention a “presumption of illegality.” In fact, as the U.S. agencies put it in the 2010 Horizontal Merger Guidelines:

The purpose of these thresholds is not to provide a rigid screen to separate competitively benign mergers from anticompetitive ones, although high levels of concentration do raise concerns. Rather, they provide one way to identify some mergers unlikely to raise competitive concerns and some others for which it is particularly important to examine whether other competitive factors confirm, reinforce, or counteract the potentially harmful effects of increased concentration.[13]

The most worrisome category of mergers identified in the 1992 U.S. merger guidelines were said to be presumed “likely to create or enhance market power or facilitate its exercise.” The 1982 guidelines did not describe “presumptions” so much as that certain mergers that may be matters of “significant competitive concern” and “likely” to be subject to challenge.

Hence, earlier editions of the U.S. merger guidelines describe the ways that structural features of mergers might inform, but not determine, internal agency analysis of those mergers. That was useful information for industry, the bar, and the courts. Equally useful were descriptions of mergers that were “unlikely to have adverse competitive effects and ordinarily require no further analysis,”[14] as well as intermediate types of mergers that “potentially raise significant competitive concerns and often warrant scrutiny.”[15]

Similarly, the 1992 U.S. merger guidelines identified a tier of mergers deemed “unlikely to have adverse competitive effects and ordinarily require no further analysis,” as well as intermediate categories of mergers either unlikely to have anticompetitive effects or, in the alternative, potentially raising significant competitive concerns, depending on various factors described elsewhere in the guidelines.[16]

By way of contrast, the new U.S. guidelines include no description of any mergers that are unlikely to have adverse competitive effects. And while the new merger guidelines do stipulate that the “presumption of illegality can be rebutted or disproved,” they offer very limited means of rebuttal.

This is at odds with prior U.S. agency practice and established U.S. law. Until very recently, U.S. agency staff sought to understand proposed mergers under the totality of their circumstances, much as U.S. courts came to do. Structural features of mergers (among many others) might raise concerns of greater or lesser degrees. These might lead to additional questions in some instances; more substantial inquiries under a “second request” in a minority of instances; or, eventually, a complaint against a very small minority of proposed mergers. In the alternative, they might help staff avoid wasting scarce resources on mergers “unlikely to have anticompetitive effects.”

Prior to a hearing or a trial on the merits, there might be strong, weak, or no appreciable assessments of likely liability, but there was no prima facie determination of illegality.

And while U.S. merger trials did tend to follow a burden-shifting framework for plaintiff and defendant production, they too looked to the “totality of the circumstances”[17] and a transaction’s “probable effect on future competition”[18] to determine liability, and they looked away from strong structural presumptions. As then-U.S. Circuit Judge Clarence Thomas observed in the Baker-Hughes case:

General Dynamics began a line of decisions differing markedly in emphasis from the Court’s antitrust cases of the 1960s. Instead of accepting a firm’s market share as virtually conclusive proof of its market power, the Court carefully analyzed defendants’ rebuttal evidence.[19]

Central to the holding in Baker Hughes—and contra the 2023 U.S. merger guidelines—was that, because the government’s prima facie burden of production was low, the defendant’s rebuttal burden should not be unduly onerous.[20] As the U.S. Supreme Court had put it, defendants would not be required to clearly disprove anticompetitive effects, but rather, simply to “show that the concentration ratios, which can be unreliable indicators of actual market behavior . . . did not accurately depict the economic characteristics of the [relevant] market.”[21]

Doing so would not end the matter. Rather, “the burden of producing additional evidence of anticompetitive effects shifts to the government, and merges with the ultimate burden of persuasion, which remains with the government at all times.”[22]

As the U.S. Supreme Court decision in Marine Bancorporation underscores, even by 1974, it was well understood that concentration ratios “can be unreliable indicators” of market behavior and competitive effects.

As explained above, research and enforcement over the ensuing decades have undermined reliance on structural presumptions even further. As a consequence, the structure/conduct/performance paradigm has been largely abandoned, because it’s widely recognized that market structure is not outcome–determinative.

That is not to say that high concentration cannot have any signaling value in preliminary agency screening of merger matters. But concentration metrics that have proven to be unreliable indicators of firm behavior and competitive effects should not be enshrined in Canadian statutory law. That would be a step back, not a step forward, for merger enforcement.

 

[1] Matthew Boswell, Letter to the Chair and Members of the House of Commons Standing Committee on Finance, Competition Bureau Canada (Mar. 1, 2024), available at https://sencanada.ca/Content/Sen/Committee/441/NFFN/briefs/SM-C-59_CompetitionBureauofCND_e.pdf.

[2] For a few examples from a very large body of literature, see, e.g., Steven Berry, Martin Gaynor, & Fiona Scott Morton, Do Increasing Markups Matter? Lessons from Empirical Industrial Organization, 33J. Econ. Perspectives 44 (2019); Richard Schmalensee, Inter-Industry Studies of Structure and Performance, in 2 Handbook of Industrial Organization 951-1009 (Richard Schmalensee & Robert Willig, eds., 1989); William N. Evans, Luke M. Froeb, & Gregory J. Werden, Endogeneity in the Concentration-Price Relationship: Causes, Consequences, and Cures, 41 J. Indus. Econ. 431 (1993); Steven Berry, Market Structure and Competition, Redux, FTC Micro Conference (Nov. 2017), available at https://www.ftc.gov/system/files/documents/public_events/1208143/22_-_steven_berry_keynote.pdf; Nathan Miller, et al., On the Misuse of Regressions of Price on the HHI in Merger Review, 10 J. Antitrust Enforcement 248 (2022).

[3] Id.

[4] See Harold Demsetz, Industry Structure, Market Rivalry, and Public Policy, 16 J. L. & Econ. 1 (1973).

[5] Berry, Gaynor, & Scott Morton, supra note 2.

[6] Chad Syverson, Macroeconomics and Market Power: Context, Implications, and Open Questions 33 J. Econ. Persp. 23, (2019) at 26.

[7] Joseph Farrell & Carl Shapiro, The 2010 Horizontal Merger Guidelines After 10 Years, 58 REV. IND. ORG. 58, (2021). https://link.springer.com/article/10.1007/s11151-020-09807-6.

[8] John Asker et al, Comments on the January 2022 DOJ and FTC RFI on Merger Enforcement (Apr. 20, 2022), available at https://www.regulations.gov/comment/FTC-2022-0003-1847 at 15-6.

[9] U.S. Dep’t Justice & Fed. Trade Comm’n, Merger Guidelines (Guideline One) (Dec. 18, 2023), available at https://www.ftc.gov/system/files/ftc_gov/pdf/2023_merger_guidelines_final_12.18.2023.pdf.

[10] U.S. Dep’t Justice, 1982 Merger Guidelines (1982), https://www.justice.gov/archives/atr/1982-merger-guidelines.

[11] U.S. Dep’t Justice & Fed. Trade Comm’n, 1992 Merger Guidelines (1992), https://www.justice.gov/archives/atr/1992-merger-guidelines; U.S. Dep’t Justice & Fed. Trade Comm’n, 1997 Merger Guidelines (1997), https://www.justice.gov/archives/atr/1997-merger-guidelines.

[12] U.S. Dep’t Justice & Fed. Trade Comm’n, Horizontal Merger Guidelines (Aug. 19, 2010), https://www.justice.gov/atr/horizontal-merger-guidelines-08192010; The U.S. antitrust agencies also issued Vertical Merger Guidelines in 2020. Although these were formally withdrawn in 2021 by the FTC, but not DOJ, they too are supplanted by the 2023 Merger Guidelines. See U.S. Dep’t Justice & Fed. Trade Comm’n, Vertical Merger Guidelines (Jun. 30, 2020), available at https://www.ftc.gov/system/files/documents/public_statements/1580003/vertical_merger_guidelines_6-30-20.pdf.

[13] 2010 Horizontal Merger Guidelines.

[14] Id.

[15] Id.

[16] 1992 Merger Guidelines.

[17]  United States v. Baker-Hughes Inc., 908 F.2d 981, 984 (D.C. Cir. 1990).

[18] Id. at 991.

[19] Id. at 990 (citing Hospital Corp. of Am. v. FTC, 807 F.2d 1381, 1386 (7th Cir.1986), cert. denied, 481 U.S. 1038, 107 S.Ct. 1975, 95 L.Ed.2d 815 (1987).

[20]  Id. at 987, 992.

[21]  United States v. Marine Bancorporation Inc., 418 U.S. 602, 631 (1974) (internal citations omitted).

[22]  Baker-Hughes, 908 F.2d at 983.

Regulatory Comments

Comments from the International Center of Law and Economics on The Future of Competition Policy in Canada

Executive Summary

In what the Discussion Paper refers to as a “moment of reckoning” for competition law, it is crucial that the Government not overreact with experimental legislative reform that will later be exceedingly difficult to unwind. Five main conclusions can be drawn from this submission, and they warrant a much more restrained approach.

First, the Government should follow several important guiding principles when it decides what competition policy is appropriate for Canada. Any potential reform should be based on careful examination of the facts and evidence, as well as the specifics of Canada’s economy, and it should be scrupulous in applying the error-costs framework. In addition, despite frequent rhetoric to the contrary, it is entirely unclear that “digital” markets present the sort of unique challenges that would necessitate an overhaul of the Competition Act. Accordingly, evidence does not recommend that Canada follow the sort of competition regulation or reform contemplated elsewhere, nor should Canada be compelled to act just because other countries are “doing something.”

Second, there is no rhyme or reason to presumptions against self-preferencing behavior. Self-preferencing is normal business conduct that can, and often does, yield procompetitive benefits, including efficiencies, enhanced economies of scope, and an improved products for consumers. In addition, a ban on self-preferencing would cause harms for the startup ecosystem by discouraging acquisitions by large firms, which would ultimately diminish the incentives for startups. This is presumably not what the Government wants to achieve.

Third, altering the purpose of the Competition Act would be a grave mistake. Competition law does not serve to protect competitors, but competition; nor can harm to competitors be equated with harm to competition. The quintessential task of competition laws—the Competition Act included—is distinguishing between the two, precisely because the distinction is so subtle, yet at the same time so significant. Similarly, “fairness” is a poor lodestar for competition-law enforcement because of its inherent ambiguity. Instead of these or other standards, the Competition Act should remain rooted in the principle of combating “a substantial lessening or prevention of competition.”

Fourth, the Government should exercise extreme caution in its exploration of labour-market monopsony, as altering the merger-control rules to encompass harms to labour risks both harming consumer welfare and the consistency and predictability of competition law.

Fifth, in its impetus to bolster competition-law enforcement by making it “easier” on the Canadian Competition Bureau, the Government should not sacrifice rights of defense and the rule of law for expediency. In this, at least, it can learn from the example of the EU’s Digital Market Act.

Introduction

We thank the Government of Canada for the opportunity to comment on its Consultation on the future of competition policy in Canada. The International Center for Law and Economics (ICLE) is a non-profit, nonpartisan research center whose work promotes the use of law & economics methodologies to inform public-policy debates. We believe that intellectually rigorous, data-driven analysis will lead to efficient policy solutions that promote consumer welfare and global economic growth. ICLE’s scholars have written extensively on competition and consumer-protection policy. Some of our writings are included as references in the comment below. Additional materials may be found at our website: www.laweconcenter.org.

On 17 November 2022, the Canadian Government (“Government”) published a Consultation for the Future of Competition Policy in Canada (“Consultation”) with the purpose of informing the Government’s next steps for improving competition in emerging and digital markets, including potential legislative changes (Government of Canada, 2022). The Consultation builds on a Discussion Paper issued by the Canadian Competition Bureau (“CCB”) entitled “The Future of Competition Policy in Canada” (“Discussion Paper”) which broaches several issues that have been hotly debated, both in Canada and abroad, such as so-called “killer acquisitions,” self-preferencing practices by dominant online platforms, the effects of monopsony power on labour, private damages claims, the necessity of bolstering antitrust enforcement, and deceptive marketing practices (Discussion Paper: 5). While all these questions undoubtedly deserve extensive commentary, we have decided to focus on five issues where we think our expertise in law and economics, as well as our experience in the regulation of digital markets, bring the most added value.

These comments are organized as follows. In Section I, we outline several general principles that guide any effective competition policy, especially in the realm of digital markets. We argue that sound competition policy needs to account for the economic specificities of the jurisdiction that passes it, the significant heterogeneity of digital platforms, and the important error costs associated with regulating digital markets. In Section II we argue that Canada should not follow the EU in imposing outright bans and ex ante obligations for conduct that is ubiquitous in the digital world, such as self-preferencing. We argue, instead, that there are legitimate reasons—ranging from economic efficiency to safety, privacy, and security—to prefer a more restrained, case-by-case approach. We also connect the skepticism toward self-preferencing with a broader, misguided belief that vertical integration is typically anticompetitive, which is not supported by the available evidence.

In Section III, we argue against a range of proposals that would, in one way or another, alter the purpose clause of the Competition Act. We emphasize that competition law serves to protect competition, not competitors; caution against the reliance on amorphous concepts, such as “fairness,” to guide competition-law enforcement; and hold that merger control should remain tethered to a standard of “substantial lessening or prevention of competition.” In Section IV, we explain that, while it may appear politically expedient and attractive, there are serious limits on the extent to which labour effects can be integrated into competition analysis.

Finally, Section V warns against sacrificing effective procedural safeguards and rights of defense for the sake of facilitating enforcement. More generally, we warn against the increasingly prevalent intuition that making enforcement easier is always good, effective, or costless; or that “more enforcement” is synonymous with the public good. Section VI concludes.

I.        Some General Principles for Effective Competition Policy

When done well, competition policy can provide the governing framework for free enterprise—a set of rules that prevent the formation of inefficient monopolies, while allowing markets to deliver benefits to consumers unfettered by heavy-handed government intervention. To achieve this goal, it is essential for competition policy to be grounded in several principles that ensure it achieves a balance between over- and under-deterrence of harmful conduct. These principles include having a competition policy that fits the specific needs and market realities of the jurisdiction enforcing it; ensuring that competition policy is mindful of error-cost considerations; and avoiding a one-size-fits-all approach that treats all markets, notably digital ones, as identical.

A.      Canada Should Implement the Right Competition Rules for Canada

The Consultation appears to assume that Canada’s adversarial system of competition-law enforcement is too archaic to deal with competition issues arising in the modern, digital economy (Ibid: 51), and that Canada is falling behind the regulatory trends set by “international partners,” such as the United States, Australia, and the European Union.

“[The Government] is committed to a renewed role for the Competition Bureau in protecting the public in our modern marketplace, in line with steps taken by many of Canada’s key international partners” (Ibid: 4).

While these trends exist—despite significant variation in terms of scope and legislative progress across jurisdictions—there is currently a dearth of evidence to suggest that they are a positive development worthy of emulation. It is even less clear whether emulating these developments would be the right move, given Canada’s specific market realities.

The EU’s Digital Markets Act (“DMA”), the most comprehensive legislative attempt to “rein in” digital companies, entered into force only last October, and it will not start imposing obligations on gatekeepers until February or March 2024 at the earliest. (Grafunder et al., 2022). Nevertheless, its sponsors have predictably touted it as a resounding success and a landmark piece of legislation that will upend the ways in which digital platforms do business. The press has also wasted no time in lionizing the EU’s regulatory pièce de résistance as a “victory” over tech companies, as if the relationship between business and government were a zero-sum game (Abend, 2015; Harris, 2022).

But it is important to carefully consider the facts and evidence. Indeed, while the DMA likely will transform how the targeted companies do business (albeit possibly not in the way the regulation’s supporters assume), the jury is still very much out on the question of whether the DMA is, or will be, a success. The DMA’s origins are enlightening in this regard. Prior to its adoption, many leading European politicians touted the text as a protectionist industrial-policy tool that would hinder U.S. firms to the benefit of European rivals—a far cry from the purely consumer-centric tool it is sometimes made out to be. French Minister of the Economy Bruno Le Maire acknowledged as much, saying (Pollet, 2021): “Digital giants are not just nice companies with whom we need to cooperate, they are rivals, rivals of the states that do not respect our economic rules, which must therefore be regulated… There is no political sovereignty without technological sovereignty. You cannot claim sovereignty if your 5G networks are Chinese, if your satellites are American, if your launchers are Russian and if all the products are imported from outside.”

Andreas Schwab, one of the DMA’s most important backers in the European Parliament, likewise argued that the DMA should focus on non-European firms (Broadbent, 2021): “Let’s focus first on the biggest problems, on the biggest bottlenecks. Let’s go down the line—one, two, three, four, five—and maybe six with Alibaba. But let’s not start with number seven to include a European gatekeeper just to please [U.S. president Joe] Biden.”

Even on its own terms, whether the DMA will achieve its dual goals of “fairness” and contestability is uncertain. Less certain still is whether it will produce negative unintended consequences for consumer prices, product quality, security, innovation, or the rule of law—as some commentators have warned (Auer & Radic, 2023; Barczentewicz, 2022; Colangelo, 2023; Radic, 2022; Ibáñez Colomo, 2021; Cennamo & Santaló, 2023; Bentata, 2021). In a similar vein, no evidence suggests that the competition-law cases against tech companies based on such theories of harm as self-preferencing will withstand the courts’ scrutiny or that they will result in net benefits to consumers or competition.

The still nascent “trends” in other jurisdictions offer even less in terms of evidence to counsel adoption of far-reaching DMA-style solutions like banning self-preferencing, forcing interoperability, or prohibiting the use of data generated by business users. The U.S. antitrust bills targeting a handful of companies seem unlikely to be adopted soon (Kelly, 2022); the UK’s Digital Markets Unit proposal has still not been put to Parliament; and Japan and South Korea have imposed codes of conduct only in narrow areas. The mere prevalence of trends—especially at a tentative stage—is not, on its own, indicative, much less dispositive, of the appropriateness of a regulatory response. It should therefore be treated neutrally by the Government, not with deference.

Second, the Discussion Paper fails to adequately grapple with the possibility that the EU’s regulatory response might not be well-suited to the Canadian context. For one, Canada’s economy is one-eighth as large as the EU’s (Koop, 2022), meaning that it is much less likely to be seen as an essential market by those companies affected by any potential antitrust/regulatory reform. Thus, while the EU can perhaps afford to impose costly and burdensome regulation on digital companies because it has considerable leverage to ensure—with some, though by no means absolute, certainty—that those companies will not desert the European market, Canada’s position is comparatively more precarious. In addition, the EU has an idiosyncratic digital strategy that has produced no notable digital platforms, with the arguable exceptions of Spotify and Booking.com, and has instead shifted its attention almost entirely to redistributing rents across the supply chain from those digital platforms that have emerged (Manne and Radic, 2022; Manne and Auer, 2019). Even staunch supporters of the DMA have admitted that the DMA will do nothing to help the EU produce its own platforms to challenge the dominant U.S. firms (Caffarra, 2022) . The DMA and the European Commission’s recent flurry of cases against U.S. tech companies are arguably an integral part of that overarching strategy.

B.      Regulation Should Be Scrupulously Mindful of Error Costs

With rare exceptions, the Discussion Paper does not sufficiently acknowledge that regulation is neither free of risk nor costless to implement. Legal decision making and enforcement under uncertainty are, however, always difficult, and always potentially costly. The risk of error is always present, given the limits of knowledge, but it is magnified by the precedential nature of judicial decisions: an erroneous outcome affects not only the parties to a particular case, but also all subsequent economic actors operating in “the shadow of the law” (Manne, 2020a). The uncertainty inherent in judicial decision making is further exacerbated in the competition context, where liability turns on the difficult-to-discern economic effects of challenged conduct. This difficulty is magnified further still when competition decisions are made in innovative, fast-moving, poorly understood, or novel market settings—attributes that aptly describe today’s digital economy (Ibid.).

More specifically, Type I errors—i.e., enforcement of the rules against benign or beneficial conduct—might mean reducing firms’ incentives to make investments in areas where free-riding is seen by competitors as a viable strategy (Auer, 2021), thereby reshaping the products that consumers enjoy (such as Apple’s walled-garden iOS model, Canales 2023; Sohn, 2023; Auer, Manne & Radic, 2022); diminishing quality; or driving up prices (on this last point, see Section II). Where the possibility and likelihood of these costs is not brought into the equation, regulations will exceed the social optimum, to the harm of consumers, taxpayers, and, ultimately, society. To be sure, this is not to say that no regulation or legal reform should ever be undertaken; it is only to say that they should be undertaken within the error-cost framework.

When it comes to considering competition reform, the Government must be careful not to conflate correlation with causation. On several occasions, the Discussion Paper connects certain exogenous phenomena with anemic competition enforcement or a lack of significant competition reform since the 1980s (Discussion Paper: 6-7, 15). While the connection is made rhetorically explicit, however, the Discussion Paper provides no arguments or sources to support it. For instance, it is unclear that heightened competition enforcement would have mitigated the impact of the COVID-19 pandemic or that it attenuates economic inequality, as the Discussion Paper implies. Economic evidence and respect for the rule of law, rather than political expediency, should be the forces driving reform. Lastly, and more generally, if the objectives of the Competition Act are going to be stretched beyond their current understanding to encompass considerations extrinsic to competition—such as protecting the “social landscape and democracy” (Ibid: 7)—a much broader legislative reform is needed. That, in turn, would necessitate substantively more empirical research than the anecdotal evidence currently available on, say, the relationship between economic concentration and un-democratic outcomes (as well as tighter definitions of democracy) (Manne & Stapp, 2019; Stapp, 2019; Manne & Radic, 2022). In this connection, we have often cautioned against a “Swiss Army knife” approach to competition, in favor of tethering it to one quantifiable standard that it is best-placed to deliver (and which is expressly recognised in the Competition Act): providing consumers with competitive prices and product choices (Manne, 2022a; Manne & Hurwitz, 2018). After all, if, as the Discussion Paper suggests, the current iteration of the Competition Act, which focuses specifically on lower prices and product quality for consumers, has not contributed enough to drive down the costs of living for Canadians, why give it more wildly ambitious goals?

The danger here is threefold. The Competition Act may fail in achieving these ulterior goals; it may, by diluting the importance of prices and product quality for consumers, perform even more poorly at lowering the costs of living; and, lastly, the legal uncertainty resulting from the imposition of a quagmire of conflicting goals may chill efficient conduct (see Section III).

C.      ‘Digital Markets’ Are Not Inherently Prone to Market Failure

While any market or industry may be distinctive in certain regards, it is not at all established that digital markets are so distinctive to warrant special treatment under the competition rules—much less to justify new legislation. The Discussion Paper assumes, as has become increasingly popular, that digital markets are marked as special because of their data-driven network effects or extreme returns to scale. (Discussion Paper: 8-9) (Cremer, de Montjoye, & Schweitzer, 2019; Zingales & Lancieri, 2019). The Government, however, should at least contemplate the counterarguments to this assertion.

From the outset, it is worth noting that there is arguably no such thing as a “digital” market. Put differently, every market today—from higher education to supermarkets—employs some level of digital technology, which renders the label “digital” largely superfluous. The flipside of this is that some markets typically seen as the epitome of “digital” rely heavily on physical infrastructure. Online sales platforms like Amazon, for instance, sell physical products, stored in warehouses, through a distribution network made up of a fleet of trucks and planes. Both observations undercut the claim that digital markets embody a distinct kind of competition, and one that can be parsed from markets across the Canadian economy.

More fundamentally, digital markets are arguably less prone to “tipping”—i.e., the emergence of runaway leaders whose competitive advantage can no longer be eroded because of their large userbases—than is generally assumed. The value of data in creating network effects is significantly overestimated. It is important to note that network effects, on the one hand, and economies of scope and scale, on the other, are distinct economic phenomena. Whereas economies of scope and scale reflect cost-side savings, network effects “operate through user benefits enhancement as production increases. Network effects are therefore a reflection of consumers’ perception of value” (Tucker, 2019). While there is a common assumption that acquiring sufficient data and expertise is essential to compete in data-heavy industries, the “learning by doing” advantage of data rapidly reaches a point of diminishing returns, as do advantages of scale and scope in data assets (Manne & Auer, 2021). Critics who argue that firms such as Amazon, Google, and Facebook are successful because of their superior access to data have the causality in reverse. Arguably, it is because these firms have come up with successful industry-defining paradigms that they have amassed so much data, and not the other way around. Indeed, Facebook managed to build a highly successful platform  relative to established rivals like MySpace (Jacobs, 2015).

Third, and relatedly, network effects in digital markets are rarely insurmountable. Several scholars in recent years have called for more muscular antitrust intervention in networked industries on grounds that network externalities, switching costs, and data-related increasing returns to scale lead to inefficient consumer lock-in and raise entry barriers for potential rivals (Discussion Paper: 23). But network effects can also be highly local. “For example, when I consider whether to use Dropbox or another file sharing service, I do not care about the total number of users of Dropbox; instead, I care about how many of my handful of collaborators also use it” (Tucker, 2019). Thus, network effects tend to destabilize market power: “[w]hile network effects facilitate the rapid growth of platforms, they also accelerate their demise.”(Ibid.)

There are countless examples of firms that easily have overcome potential barriers to entry and network externalities, ultimately disrupting incumbents. Recently, Zoom outcompeted long-established firms with vast client bases and far deeper pockets, such as Microsoft, Cisco, and Google, despite the video-communications market exhibiting several traits typically associated with the existence of network effects (Auer, 2019).[1] Other notable examples include the demise of Yahoo, the disruption of early instant-messaging applications and websites, and MySpace’s rapid decline. In each of these cases, outcomes did not match the predictions of theoretical models (Manne & Stapp, 2019).

More recently, TikTok’s rapid rise offers perhaps the greatest example of a potentially superior social-networking platform taking significant market share away from incumbents. According to the Financial Times, TikTok’s video-sharing capabilities and powerful algorithm are the most likely explanations for its success (Nicolaou, 2019). While these developments certainly do not disprove network-effects theory, they eviscerate the belief, common in antitrust circles, that superior rivals cannot overthrow incumbents in digital markets.

Of course, this will not always be the case. The question is ultimately one of comparing institutions—i.e., do markets lead to more or fewer error costs than government intervention? Yet this question is systematically omitted from most policy discussions (Auer, 2022).

Lastly, the widespread assumption that critical, large-scale data are exclusive to a few companies, who then misuse it to distort competition and exclude rivals, is largely unfounded. Data are widely used by a range of industries—not just “digital” services—and they are, or can be, the source of important procompetitive benefits. This is not sufficiently recognized in the Discussion Paper, which instead views data almost exclusively as a “currency” and a barrier to entry that serves to entrench market power. In fact, data can serve to drive innovation, optimize costs, and respond to rapidly changing consumer tastes—among other things (Manne & Auer, 2020: 1355). For instance, data in online search enable customers to find more (and more relevant) products and to compare product quality and price, especially using online reviews. Similarly, e-commerce enables consumers in more remote and thinly populated areas to obtain goods and services that were previously hard to access. Assuming that data are principally a barrier to entry erected to exclude rivals, that access to data should therefore be restricted for certain companies, or that the data at their disposal should be diluted, is not only fundamentally wrong, but also likely to harm consumers.

II.      Canada Should Not Introduce DMA-Style Per Se Prohibitions, nor a Presumption of Illegality for Self-Preferencing

In its section on abuse of dominance, the Discussion Paper toys with the idea of imposing per se prohibitions or presumptions of anticompetitive harm on certain unilateral conduct, notably self-preferencing (Discussion Paper, 2022:31-32). This wariness of self-preferencing is echoed by several scholars, not least Vass Bednar and her co-authors (2022: 28), who argue that:

“In a fair, competitive market, products may come to dominate markets by virtue of being superior to those of competitors in quality, price, or some other characteristic. However, through self-preferencing market operators may gain dominance in specific markets due to the fact that they operate and control how information is presented in the marketplace in which they sell their product. In this way, self-preferencing can undermine the competitive dynamic of these markets, leading to poorer market outcomes. Self-preferencing constitutes an advantage that is not based on the merits of competition, but instead the degree of dominance that the self-preferencing firm has in another market.”

Admittedly, some jurisdictions, including the EU, have prohibited dominant platforms outright from giving preferential treatment to their own products (see, e.g., Article 6(5) of the DMA). But as argued in the previous section, this says nothing on its own about whether Canada should follow suit. Accordingly, Canadian authorities should consider the actual costs and benefits of self-preferencing before they adopt sweeping prohibitions of this sort of conduct.

A.      Self-Preferencing Is Not Presumptively Harmful

Courts and regulators in other countries have recognized that self-preferencing can have important pro-competitive justifications. As the Fifth Interim Report of the Digital Platform Service Inquiry of the Australian Consumer and Competition Commission states:

The ACCC recognises that there may be legitimate justifications for some types of self-preferencing conduct, such as promoting efficiency, or addressing security or privacy concerns, which would need to be carefully considered in developing new obligations. Any new obligations to prevent self-preferencing should be tailored to address specific conduct likely to harm competition, rather than amounting to a broad prohibition on any and all selfpreferencing by Designated Digital Platforms (2020: 131).

Indeed, many companies’ business models, from supermarkets to consultancy firms (Moss, 2022), are based on various forms of vertical integration, which includes self-preferencing (Sokol, 2023). In the specific context of online platforms, self-preferencing allows companies to improve the value of their core products and to earn returns so that they have reason to continue investing in their development (Andrei Hagiu, Tat-How Teh, & Julian Wright , 2022; Manne & Bowman, 2020). The EU’s ban on self-preferencing does not contradict this: it merely indicates that, under the DMA, procompetitive justifications and efficiencies are deemed irrelevant—a blunt approach that the Government might reasonably want to avoid.

One important reason why self-preferencing is often procompetitive is that platforms have an incentive to maximize the value of their entire product ecosystem, which includes both the core platform and the services attached to it. Platforms that preference their own products frequently end up increasing the total market’s value by growing the share of users of a particular product. Those that preference inferior products end up hurting their attractiveness to users of their “core” product, exposing themselves to competition from rivals. (Manne, 2020b).

Along similar lines, the notion that it is harmful (notably to innovation) when platforms enter competition with edge providers is unfounded. Indeed, a range of studies show that the opposite is likely true. Platform competition is more complicated than simple theories of vertical discrimination would have it, and there is certainly no basis for a presumption of harm (Manne, 2020c).

To cite just a few supportive examples from the empirical literature: Li and Agarwal found that Facebook’s integration of Instagram led to a significant increase in user demand, both for Instagram itself and for the entire category of photography apps. Instagram’s integration with Facebook increased consumer awareness of photography apps, which benefited independent developers, as well as Facebook (Li & Agarwal, 2016). Foerderer et al. found that Google’s 2015 entry into the market for photography apps on Android created additional user attention and demand for such apps generally. (Foerderer et al., 2018). Cennamo et al. found that video games offered by console firms often become blockbusters and expand the consoles’ installed base. As a result, these games expand the opportunities for independent game developers, even in the face of competition from first-party games (Cennamo, Ozalp, Kretschmer, 2018). That is, self-preferencing can confer benefits—even net benefits—on competing services, including third-party merchants. Finally, while some have suggested that Zhu and Liu (2018) demonstrate harm from Amazon’s competition with third-party sellers on its platform, the study’s findings are far from clear-cut. As co-author Feng Zhu noted in the Journal of Economics & Management Strategy: “[I]f Amazon’s entries attract more consumers, the expanded customer base could incentivize more third?party sellers to join the platform. As a result, the long-term effects for consumers of Amazon’s entry are not clear” (Zhu, 2018).

The ambivalent effects of self-preferencing are no less true when platforms use data from their services to compete against edge providers. Indeed, critics have argued that it is unfair to third parties using digital platforms to allow the platform’s owner to use the data gathered from its service to design new products, when third parties do not have equal access to that data. That seemingly intuitive complaint was, e.g., the basis for the European Commission’s landmark case against Google (see T-604/18, Google v. Comm’n, 2022 ECLI:EU:T:2022:541). But we cannot assume that conduct harms competition simply because it harms certain competitors (see also Section IIIB). Unambiguously procompetitive conduct, such as price-cutting and product improvements, similarly put competitors at a disadvantage. Improvements to a digital platform’s service may be superior (or preferred) to alternatives provided by the platform’s third-party sellers, and therefore procompetitive and beneficial to consumers. The alleged harm in such cases is the burden of having to compete with goods and service offerings that offer lower prices, higher quality, or both.

Finally, prohibiting companies from self-preferencing or significantly constraining their ability to do so could damage the entire venture-capital-backed ecosystem. In discouraging vertical integration, large companies will have diminished incentives to acquire startups; and those startups in turn will have less incentives to exist (Manne, 2022b). As pointed out recently by Daniel Sokol: “Without the ability to ‘self preference,’ companies will be less willing to acquire new businesses and technologies. The combination of weaker incentives for acquisition along with the inability to use contractual self preferencing will reduce scope economies and integration efficiencies” (Sokol, 2023).

The point applies equally to a firm’s internal investments: that is, a firm might invest in developing a successful platform and ecosystem because it expects to recoup some of that investment through, among other means, preferred treatment for some of its own products. And exercising a measure of control over downstream or adjacent products might drive the platform’s development in the first place. In sum, a hardline approach to self-preferencing would harm consumers, stifle innovation, and disrupt the startup ecosystem. There is also insufficient evidence to justify a presumption of harm or shifting the burden of proof to defendants.

B.      Vertical Integration and the Self-Fulfilling Prophecy of Self-Preferencing

At the most basic level, the misplaced condemnation of self-preferencing stems from another, earlier myth that recently has had a resurgence: the notion that vertical integration is commonly anticompetitive. Indeed, vertical conduct by digital firms—whether through mergers or through contract and unilateral action—frequently arouses the ire of critics of the current antitrust regime. Many critics point to a few recent studies that cast doubt on the ubiquity of benefits from vertical integration. But the findings of those studies are easily—and often—overstated. There is considerably more empirical evidence that vertical integration tends to be competitively benign. This includes widely acclaimed work by economists Margaret Slade and Francine Lafontaine (former director of the Federal Trade Commission’s Bureau of Economics under President Barack Obama), whose meta-analysis of vertical transactions led them to conclude:

[U]nder most circumstances, profit-maximizing vertical integration decisions are efficient, not just from the firms’ but also from the consumers’ points of view. Although there are isolated studies that contradict this claim, the vast majority support it. Moreover, even in industries that are highly concentrated so that horizontal considerations assume substantial importance, the net effect of vertical integration appears to be positive in many instances. We therefore conclude that, faced with a vertical arrangement, the burden of evidence should be placed on competition authorities to demonstrate that that arrangement is harmful before the practice is attacked (Lafontaine & Slade, 2007: 629).

Similarly, a study of vertical restraints by Cooper et al. (2005)—former FTC economists, including a former director of the FTC’s Bureau of Economics and three FTC deputy directors (two former and one current)—finds that “[e]mpirically, vertical restraints appear to reduce price and/or increase output. Thus, absent a good natural experiment to evaluate a particular restraint’s effect, an optimal policy places a heavy burden on plaintiffs to show that a restraint is anticompetitive.” As O’Brien (2008) observed, the literature suggests that diverse vertical practices “have been used to mitigate double marginalization and induce demand increasing activities by retailers. With few exceptions, the literature does not support the view that these practices are used for anticompetitive reasons.”

Subsequent research has tended to reinforce these findings. Reviewing the literature from 2009-18, Lipsky et al. (2018),  conclude that more recent studies “continue to support the conclusions from Lafontaine & Slade (2007) and Cooper et al. (2005) that consumers mostly benefit from vertical integration. While vertical integration can certainly foreclose rivals in theory, there is only limited empirical evidence supporting that finding in real markets (Lipsky et al., 2018: 8).”

Ultimately, the notions that self-preferencing and vertical integration are anticompetitive reinforce each other. Self-preferencing purportedly exemplifies why vertical integration is (or can be) harmful, as only companies that are vertically integrated engage in self-preferencing. At the same time, calls to ban or limit self-preferencing are built on the unsubstantiated intuition that vertical integration itself is generally harmful, which is likely why the negative effects of self-preferencing are summarily presumed, despite a lack of clear and convincing evidence to that effect. The circular logic is evident and fallacious.

None of this is to suggest that proposed vertical mergers should not be subject to scrutiny, or that vertical restraints ought to be per se lawful. It is, in fact, possible for vertical mergers or other vertical conduct to harm competition, and vertical conduct—both unilateral and concerted—should remain subject to fact-specific, rule-of-reason inquiry into its effects on competition and consumers. Evidence does not, however, suggest a general skepticism of vertical integration is merited, and nor does it support a fundamental change in the competition standards or presumptions that apply to vertical integration (Fruits, Manne, & Stout, 2020: 950). As discussed in the previous sub-section, it also does not substantiate a presumption of illegality or a per se prohibition on self-preferencing.

III.    Repurposing the Purpose Clause: Antitrust Should Remain Grounded in Robust Effects Analysis and Efficiencies Should Remain a Viable Defense

There is a clear impetus in the Discussion Paper to degrade, if not shun entirely, evidence of procompetitive effects and efficiency considerations in the context of antitrust enforcement. For example, it is suggested that the Competition Act’s Purpose Clause should be reframed as protecting “fair competition,” with “less focus on competitive effects,” and that this reframing would be in the interest of achieving a “level playing field” (Discussion Paper: 38). The Discussion Paper also proposes broadening the definition of “anti-competitive act” for the purpose of abuse of dominance to ensure that it includes harm toward a competitor, not just to competition (lbid: 17). In a similar vein, efficiencies are consistently framed as an obstacle to the Government’s ability to block “potentially harmful” deals, rather than as instances where government intervention should rightly be avoided (lbid: 5).

The Discussion Paper also appears to suggest, albeit less explicitly, the possibility of lowering the evidentiary standard of proof for merger review from “substantial lessening or prevention of competition” to a more enforcer-friendly “appreciable risk” of lessening competition (lbid: 23).  While the combined effect of these proposals would surely be to make enforcement easier for the Bureau, a point we discuss in Section IV, there are also concrete, substantive harms associated with abandoning longstanding competition standards.

A.      Competition Law Serves to Protect Competition, not Competitors

Antitrust law does not serve to protect competitors—only to protect competition. As courts have long recognized, the natural process of competition is such that it results in some companies inevitably abandoning the market. But this is not a flaw to be corrected through antitrust enforcement; it is the central feature of competition. Indeed, as the European Court of Justice has repeatedly held in a well-established line of case-law:

Not every exclusionary effect is necessarily detrimental to competition (see, by analogy, TeliaSonera Sverige, paragraph 43). Competition on the merits may, by definition, lead to the departure from the market or the marginalisation of competitors that are less efficient and so less attractive to consumers from the point of view of, among other things, price, choice, quality or innovation (Case C 209/10 Post Danmark, EU:C:2012:172, para 22).

Repurposing competition law to protect all competitors, rather than competition itself, vitiates the essence of antitrust law, rendering it, and competition, pointless. Indeed, at the most essential level, the purpose of the competition rules is to distinguish between conduct that anticompetitively serves to exclude competitors, on the one hand, and competition on the merits that may lead firms to exit the market, on the other. While even first-year law students intuitively understand this critical distinction, it can prove challenging to distinguish between the two in real-world cases. The reason is simple: anticompetitive foreclosure and competition on the merits both ultimately result in the same observable outcome—that rivals exit the market. To draw the line, antitrust enforcers and policymakers have developed a wealth of tools to infer both the root causes and the effects of firms’ market exit, such as, e.g., the “as efficient competitor test” in the EU (Auer & Radic, 2023).

Blurring this subtle but crucial conceptual boundary by reorienting the Competition Act toward the protection of competitors would also have serious economic ramifications. By artificially retarding or foreclosing firm exit, the Competition Act would have the perverse effect of encouraging free-riding, discouraging efficient firm behavior and, ultimately, harming consumers and the economy as a whole.

B.      “Fairness” Is Not a Useful Goal for Antitrust Law—or Regulation, for that Matter

Fairness is not a foreign concept to antitrust law, and fairness considerations are not new to it (Colangelo, 2023). Its perennial allure lies in the evocation of principles of equality and justice with which few would disagree. (Who, after all, is in favor of “unfairness?”)

The problem lies in the inherent ambiguity of the concept, which makes it much more valuable as a rhetorical device—albeit a politically attractive one—than a working, quantifiable threshold of anticompetitive conduct. Under traditional liberal notions of fairness, understood as equality before the law, the case for redistributing rents away from dominant digital companies—especially where such dominance has resulted from a superior business model, management, and/or product-design decisions—is comparatively weak. On the other hand, if fairness is understood as equality of outcome, then ensuring that rents generated by digital platforms are distributed equally across the supply chain and horizontally to competitors suddenly becomes more defensible.

This conceptual fuzziness is exacerbated by the existence of multiple sets of stakeholders, which diminishes the possibility of identifying “fair” outcomes for any given group. Thus, what may seem like “fair” compensation for access to a platform and customer base from the perspective of, e.g., app developers, may not seem “fair” to the platforms that have invested time, research, and money into developing such a platform, or to low-usage consumers who may be asked to pay more for their devices to compensate developers whose apps they don’t use.

The use of fairness as either a goal of competition policy or a standard to adjudicate antitrust disputes inevitably raises complicated value judgements: Which group should competition authorities favor; what definition of “fairness” should enforcers mobilize; and, more fundamentally, should competition authorities be empowered to make such value-laden judgments in the first place? Contemporary competition policy has traditionally steered clear of these largely intractable questions (Ibid: 12). As the Discussion Paper rightly indicates, the Competition Act “does not proactively dictate how to conduct business, allocate resources among stakeholders, or designate participants, winners or losers in the free market (Discussion Paper: 13).”

And yet, under the inherent uncertainty of a DMA-style fairness standard, the Bureau would inevitably be forced to do just that—whether it wanted to or not. This would subvert the entire edifice of Canadian competition law, ensconcing a new standard as the system’s lodestar with entirely unpredictable material consequences. It would also, and perhaps even more importantly, signal a shift away from the rule of law and toward government discretion, transforming the Bureau from an executive enforcer of the law to a social engineer. Ironically, for all the talk about market concentration and democracy, the inverse relationship between unfettered government discretion and democracy is much better understood, and historically accounted for, than the supposed link between market concentration and undemocratic outcomes (Hayek, 2007, 2011; Mises, 2014; Friedman, 2002).

C.      Merger Control Should Remain Tethered to a “Substantial Lessening or Prevention of Competition” Principle

The Discussion Paper notes that “[o]ne of the antitrust reform bills before the U.S. Senate would modify the legal test for merger intervention from substantial lessening of competition to ‘an appreciable risk of materially lessening competition’” (Discussion Paper: 23). Specifically, the Discussion Paper identifies the U.S. bill’s proposal that the burden of proof for certain mergers be reversed, based on, e.g., increases in concentration, the size of the merger (valuations exceeding US$5 billion), or the identity (and presumed dominance) of the acquiring firm (Ibid). In the alternative, it is suggested that there be a more stringent competition test or reporting threshold for certain sensitive sectors. While the question of the best competition policy for Canada remains paramount, it is worth noting that the U.S. bill was not enacted by the U.S. Congress, and for good reasons.

1.     Industry concentration, firm size and mergers

As a background matter, the Government should consider that some of the concerns motivating the failed U.S. legislation stemmed from potentially misleading characterizations of concentration across U.S. industries. Of signal influence was a 2016 brief issued by then-President Barack Obama’s Council of Economic Advisors (“CEA”) (White House, 2016). As observed by Carl Shapiro—a former Obama CEA member and a former chief economist at the U.S. Justice Department’s Antitrust Division—certain statements in the exhibits and the text were potentially (and, for many, actually) misleading:

[S]imply as a matter of measurement, the Economic Census data that are being used to measure trends in concentration do not allow one to measure concentration in relevant antitrust markets, i.e., for the products and locations over which competition actually occurs. As a result, it is far from clear that the reported changes in concentration over time are informative regarding changes in competition over time (Shapiro, 2018: 727-28).

Shapiro did not deny that changes in concentration in specific markets could be concerning. Rather, he pointed out that key indicators in the CEA issue brief were not relevant to competition analysis.  For example, cited concentration ratios were far higher than any that should flag competition concerns, and identified industry groupings were far too broad to assess market power in any specific markets (Ibid: 721-722). At bottom: “Industrial organization economists have understood for at least 50 years that it is extremely difficult to measure market concentration across the entire economy in a systematic manner that is both consistent and meaningful (Ibid: 722).”

One approach to assessing the relationship between concentration, profits, and competition is embodied in the Structure-Conduct-Performance (“SCP”) paradigm, which tended to measure concentration by the Herfindahl-Hirschman Index (HHI), and which used specific HHI thresholds for competitive screening or evaluation. But while HHIs may still be used for rough and preliminary screening purposes, merger analysis has—by and large, and for decades—left the SCP framework behind, as both theoretical and empirical work has undermined the approach (Schmalensee, 1989; Evans, Froebd, & Werden, 1993; Berry, 2017; Salinger, 1990; Miller et al., 2022). Industry-specific research has only reinforced the wisdom of rejecting the SCP framework, demonstrating that, e.g., various new screening tools are more accurate than concentration measures in flagging health-care-provider mergers that are potentially anticompetitive (Garmon, 2017).

The “substantial lessening of competition” standard focuses on the question of whether harm to competition has occurred, or is likely to occur, with a focus on actual or likely consequences: harm to consumers, often in terms of increased prices, but also in terms of reduced output and nonprice dimensions of competition, such as lower product quality and diminished convenience or availability. Alternatives tend to be less clear, harmful to consumer welfare, or both.

The suggestion that merger policy should alter its methods or standards according to the size of the firm (or firms) involved recalls the “big is bad” approach to antitrust enforcement prevalent in the first half of the twentieth century. That approach, and the assumption of market power (and harm to competition) had no real economic basis:

In short, there is no well-defined “causal effect of concentration on price,” but rather a set of hypotheses that can explain observed correlations of the joint outcomes of price, measured markups, market share, and concentration. . . .

Our own view, based on the well-established mainstream wisdom in the field of industrial organization for several decades, is that regressions of market outcomes on measures of industry structure like the Herfindahl-Hirschman Index should be given little weight in policy debates (Berry et al., 2019: 48).

Scale is not an accurate proxy for either market power or anticompetitive conduct. To reimplement the big-is-bad approach risks arbitrary impediments to broad categories of procompetitive mergers, and reduced innovation in business models that would benefit consumers. It would protect inefficient (high-cost) producers from precisely the kinds of competitive pressures that competition law is supposed to foster (Manne & Hurwitz, 2018: 1,6).

To be sure, large tech firms’ impressive scale might appear to imply market power; and such firms, among others, may possess a degree of market power in one or another market. Large firms, like small ones, also may engage in anticompetitive conduct. Nonetheless, and especially in the contemporary tech industry, it is “not unusual for efficient, competitive markets to comprise only a few big, innovative firms. Unlike the textbook models of monopoly markets, these markets tend to exhibit extremely high levels of research and development, continual product evolution, frequent entry, almost as frequent exit—and economies of scope and scale (i.e., ‘bigness’). Size simply does not correlate with anything recognizable as ‘consumer harm’” (Ibid).

A presumption against large firms (and large transactions) would necessarily benefit smaller firms, independent of the question of whether they provide consumers with superior or less-costly goods and services. Indeed, some courts have expressly recognized that deciding competition matters for the purpose of favoring small firms entailed that “occasional higher costs and prices might result from the maintenance of fragmented industries and markets” (Brown Shoe Co. v. United States, 370 U.S. 294, 344 (1967)). Such maintenance has always raised the question of which decision standard should be employed, and what its economic basis should be, as well as the rationale for trading consumer welfare for benefits to certain smaller firms. Not incidentally, thresholds recently proposed for presumptively suspect firms or transactions are such that many very large firms escape heightened scrutiny. That includes firms that may have significant market power in one or more markets. And, of course, small firms might well enjoy significant market power in niche markets.

There remain legitimate debates about the optimal methods and standards for competition policy, but the drive toward a consumer welfare standard, begun in the 1960s and 1970s, ultimately identified a coherent and predictable outcome against which to evaluate both specific competition matters and competition policy: greater consumer welfare is achieved through the condemnation of conduct that suppresses innovation, increases prices, or diminishes desirable nonprice dimensions of goods and service, such as quality and convenience. Application of the consumer welfare standard is not always trivial, but it is generally tractable, and increasingly so, as developments in data sources and industrial-organization economics continue.

A recent policy statement by the U.S. Federal Trade Commission (FTC) set a template for the disadvantages of popular reform proposals, with something akin to an “appreciable risk” standard. The FTC had withdrawn its prior Unfair Methods of Competition policy statement and, in doing so, disavowed the consumer welfare standard as “open ended” and capable of delivering “inconsistent and unpredictable results” (Federal Trade Commission, 2021). In its place, the FTC announced a new standard: a prohibition of “unfair” conduct that “tend[s] to negatively affect competitive conditions.”

What that means is not clear. We are told that unfair conduct is “coercive, exploitative, collusive, abusive, deceptive, predatory”—terms that may be evocative in ordinary usage and some of which occur, in dicta, in certain historical U.S. antitrust cases. But those terms have no clear established meaning in Canadian, U.S., or European competition jurisprudence. The statement also declares as unfair any conduct that “involve[s] the use of economic power of a similar nature,” or that “may” be “otherwise restrictive or exclusionary.” That all seems relatively open-ended.

Further, as Gilman and Hurwitz (2022) explain, the phrase “tends to negatively affect competitive conditions” is noteworthy mostly for what it is not. It does not specify either harm to competition or harm to consumers, but rather a tendency (not necessarily a likelihood) to “negatively affect” (perhaps to harm) “competitive conditions.” Thus, we have a sort of any-party-in-the-marketplace standard, concerned with effects on “consumers, workers, or other market participants” and whether conduct “tends to” affect (negatively) any party, and which does not turn to whether the conduct directly caused actual harm in the specific instance at issue. Effects need not be “current” or “measurable” or even “actual.” And they need not be likely.

The new FTC standard is certainly no model of clarity. Establishing “harm to consumers, workers, or other market participants” may be more tractable than establishing harm to consumers. But that’s only because nearly any potential harm to anyone would seem to suffice, no matter the cost to consumers. Indeed, in disclaiming the need to show either actual or likely harm, the relevance of efficiencies, and of relative costs and benefits, the FTC sets the enforcement bar lower still. Whatever degree of unpredictability might attach to the consumer welfare standard, it is impossible to see the FTC’s 2022 proposal as an improvement.

The FTC’s new policy also appears to buy lower administrative costs at the expense of both predictability and, necessarily, consumer welfare. Fundamentally, the FTC ignores completely the problem of error costs. To the extent that competition policy is concerned with consumer welfare, loose (and seemingly arbitrary) standards will lower administrative costs but increase Type 1 errors (false positives) by sometimes condemning procompetitive and benign conduct as anticompetitive. But amorphous standards may also increase Type 2 errors, as enforcement untethered from consumer welfare and economic foundations may well increase the total number of cases and determinations of liability, while missing difficult cases where real harms might have been found through traditional methods.

Thomas Lambert (2021) employs a decision-theoretic framework to compare competing institutional approaches to competition law and, specifically, to address the market power of large digital platforms, both actual and presumed:

(1) the traditional U.S. antitrust approach; (2) imposition of ex ante conduct rules such as those in the EU’s Digital Markets Act and several bills recently advanced by the Judiciary Committee of the U.S. House of Representatives; and (3) ongoing agency oversight, exemplified by the UK’s newly established “Digital Markets Unit.” After identifying the advantages and disadvantages of each approach, this paper examines how they might play out in the context of digital platforms. . . . [and] shows how three features of the agency oversight model—its broad focus, political susceptibility, and perpetual control—render it particularly vulnerable to rent-seeking efforts and agency capture. The paper concludes that antitrust’s downsides (relative indeterminacy and slowness) are likely to be less significant than those of ex ante conduct rules (large error costs resulting from high informational requirements) and ongoing agency oversight (rent-seeking and agency capture) (Lambert, 2021).

2.     Nascent Competition

Finally, some argue that an “appreciable risk” to competitive harm standard would be more appropriate in the context of acquisitions of nascent or potential competitors. The argument is that, by their nature, the risks associated with acquisitions of nascent competitors is more speculative. Since we cannot know for sure, given their current size and scope, we need to account for these risks and have a standard that can incorporate them. The argument is laid out most completely by Steven Salop in his paper Potential Competition and Antitrust Analysis: Monopoly Profits Exceed Duopoly Profits. In it, he argues that:

Acquisitions of potential or nascent competitors by a dominant firm raise inherent anticompetitive concerns. By eliminating the procompetitive impact of the entry, an acquisition can allow the dominant firm to continue to exercise monopoly power and earn monopoly profits. The dominant firm also can neutralize the potential innovation competition that the entrant would provide (Salop, 2021:6).

Taken to its logical conclusion, this approach would support a presumption against any acquisition, because there is always a risk, no matter how remote, that any company could compete with the incumbent in the future. It is unclear how far the qualifier “appreciable” goes toward countering this overly stringent presumption. On this note, it is important to realize that eliminating a potential competitor is not the same thing as eliminating potential competition. The market power of firms, even monopolists, is disciplined by how closely the closest potential competitor is to the incumbent. In the jargon of economics: the marginal competitor matters. How quickly could the marginal competitor enter? How closely could the marginal competitor compete on price?

When there are just two firms in a market, we are confident that the second-largest firm is the marginal competitor for the largest. Once we open consideration to all possible or potential competitors, our ability to know in advance which may provide a disciplinary force greatly decreases. As such, any competition standard needs to recognize such limitations and keep potential-competition challenges to clearly articulated cases.

The FTC’s recent challenge of Meta’s acquisition of Within serves as a natural experiment in showcasing the limits of opening potential-competition challenges to more speculative cases. The FTC’s case rested on arguing that Facebook was a potential competitor to Within’s virtual-reality fitness app Supernatural. While the judge ultimately did not reject the possibility of potential-competition harms, in theory, he rejected the evidence of such harms in this case (Paul Weiss, 2023).

IV.    There Are Serious Limits to Considering the Effects of Mergers on Labour

The Discussion Paper notes “at least two points in the Canadian System where a closer examination of labour effects could occur” (Discussion Paper: 28) Those are, first “in the evaluation of competitive effects, namely as to whether mergers may result in distortions to the labour market, even if there are no harmful competitive effects downstream”; and second, “in the evaluation of efficiencies, in which reduction of labour may be viewed as efficient or pro-competitive” (Ibid.). We recommend the Commission exercise extreme caution in these areas, as both risk harms to consumer welfare, and to the consistency and predictability of competition law.

The Discussion Paper notes “various challenges and pitfalls of applying competition law to labour markets, including, inter alia, the difficulty of integrating the role (and benefits) of technological change and ‘creative destruction,’” complexities in assessing compensation wholistically, and the question of market definition (Discussion Paper: 28). These measurement difficulties exceed those typically observed in product markets and raise questions regarding whether—and if so, how—to account for trade-offs among, e.g., labour interests and pro-consumer efficiencies and innovation in products, production, or distribution, or between labour interests and consumer welfare.

The concerns cited by the Boyer report are important. For one thing, one cannot distinguish between efficiency gains and the exercise of monopsony power if one looks only to price and quantity in an input market, such as labour. Consider a merger that generates either efficiency gains or market (now monopsony) power. A merger that creates monopsony power will necessarily reduce the prices (wages) and quantity purchased (hired) of inputs, such as labour. But this same effect (reduced prices/wages and quantities for inputs) could be observed if the merger is efficiency-enhancing. If we assess downstream output, efficiency-enhancing mergers will necessarily be associated with greater output. Efficiencies achieved through innovation in product offerings, production, management, or distribution will lead to increased output. If, on the other hand, the merger increases monopsony power, the post-merger firm will perceive its marginal cost as higher than it was pre-merger, and it will reduce downstream output accordingly (Hemphill & Rose, 2018).

To parse labour markets from downstream product and service markets, and to consider the impact on the latter of “out-of-market” effects, would confound the distinction of efficiency-enhancing mergers from monopsony-creating ones, while simultaneously isolating competition analysis of labour markets from observations of pro-consumer efficiencies. It is unclear whether (and, if so, how) using competition law to discipline alleged harm to labour markets is consistent with the consumer welfare standard, the lodestar of antitrust enforcement, at least as it is currently understood.

Marinescu & Hovenkamp assert that, “[p]roperly defined, the consumer welfare standard applies in exactly the same way to monopsony. Its goal is high output, which comes from the elimination of monopoly power in the purchasing market…. [W]hen consumer welfare is properly defined as targeting monopolistic restrictions on output, it is well suited to address anticompetitive consequences on both the selling and the buying side of markets, and those that affect labor as well as the ones that affect products (Marinescu & Hovenkamp, 2014).”

But there are at least two problems with this reasoning.

First, the assertion that harm to input providers alone should be actionable is based on a tenuous assertion that a mere pecuniary transfer is sufficient to establish anticompetitive harm. As Marinescu and Hovenkamp note “there is merely a transfer away from workers and towards the merging firms. Yet. . . such a transfer is a harm for antitrust law.” (Ibid: 1062) But such harms to labour (and other input suppliers) may benefit consumers. In the typical case, at least some of the benefits of employer leverage (relative advantage in negotiation) are passed along to consumers; in the limit, all such benefits are passed on to consumers (Salop, 2010: 342). The main justification for ignoring such cross-market effects is primarily a pragmatic one, but one considerably diminished by modern analytical methods (Rybnicek & Wright, 2014: 10). Particularly in the context of inputs to a specific output market, these cross-market effects are inextricably linked and hardly beyond calculation.

The assertion that pure pecuniary transfers are actionable is also inconsistent with the fundamental basis for competition law, which seeks to mitigate deadweight loss, not mere pecuniary transfers that do not result in anticompetitive effects (Bork, 2021: 110).

Finally, market definition, too, is a confounding problem for the prospect of labour competition analysis. In monopoly cases, enforcers and courts can face enormous challenges in identifying a relevant market. These challenges are multiplied in input markets—especially labour markets—in which monopsony is alleged. Many inputs are highly substitutable across a wide range of industries, firms, and geographies. For example, changes in technology, such as the development of PEX tubing and quick-connect fittings, allows for labourers and carpenters to perform work previously done exclusively by plumbers. Technological changes have also expanded the relevant market in skilled labour: Remote work during the COVID-19 pandemic, for example, demonstrates that many skilled workers are not bound by geography and compete in national—if not international—labour markets.

At the same time, many labour markets—especially (but not only) lower-wage labour markets—remain local. They have the potential to crosscut both product markets and their associated geographic markets. And both mergers and unilateral conduct can raise questions concerning how to trade harm to labour—e.g., reduced wages, benefits, or jobs—in one locale against benefits in another.

In short, there is a serious knowledge gap to plug before competition authorities can satisfactorily analyze the impact of mergers on labour markets. Until that is the case, competition law would gain by limiting its focus to output markets.

V.      Bolstering the Bureau’s Powers and the ‘Effectiveness’ of Enforcement Should not Come at the Expense of Parties’ Rights of Defense, the Rule of Law, and Procompetitive Outcomes

One of the key themes of the Discussion Paper is “the often-narrow circumstances where the Competition Bureau can intervene (Discussion Paper: 4).” For example, the Discussion Paper laments that bringing abuse-of-dominance cases is currently too burdensome for the CCB and suggests implementing EU-style presumptions (Ibid: 34-35) or substituting the need to show intent and (likely) effects for a mere capability of anticompetitive effects (Ibid: 37).  But the fact that some cases are not easy to bring is not, on its own, a justification for reform (see Section I). Procedural safeguards and burdens of proof exist for a reason: to cabin enforcers’ discretion, ensure that rights of defense and the rule of law are respected, and to minimize errors. Furthermore, “more enforcement” is neither good nor bad. What makes it one or other is contingent on the likelihood and extent of the error costs of intervention vs. non-intervention (see Section IB).

In this way, the EU’s experience warns of the risk of granting to public authorities extensive powers to enforce novel regulations, while treating the rights of defense as an afterthought (Lamadrid, 2022; Auer and Radic, 2023). Like the ethos that undergirds the Discussion Paper, the DMA is propelled by the (dubious) logic that the competition laws in their current form cannot be deployed easily or quickly enough to address the supposedly unique, endemic challenges of “digital” markets (for the opposite view, see Colangelo, 2022).

But this eagerness to intervene at any cost itself comes at a cost. In the EU, for instance, the draft implementing regulation of the DMA (DIR) indulges in serious procedural over-reach, which is likely to have significant ramifications for targeted companies, third parties, and the Commission itself. Thus, from the outset, the DIR makes clear that the Commission prioritizes procedural effectiveness over procedural fairness (Lamadrid, 2022). It establishes a “succinct” (short) right to respond to the Commission’s preliminary findings, thereby abridging parties’ rights to defense in ways that the Commission is not similarly constrained in issuing its preliminary findings.

Procedural rules exist to protect parties from abuses by the administration, as well as to protect the administration from costly and unnecessary litigation. This has been recognized, in one way or another, by the European courts. Just this past year, two marquee decisions were quashed by the European Court of Justice, at least partially because of procedural irregularities: Qualcomm and Intel. The lesson to be learned for the CCB is that, even if the Competition Act is reformed, Canadian law still recognizes robust rights of defense and procedural safeguards that, if breached because of an administrative over-eagerness to “do more,” will be promptly checked by the courts.

VI.    Conclusion

In this “moment of reckoning,” (Discussion Paper: 6) it is crucial that the Government not overreact with experimental legislative reform that will be exceedingly difficult to unwind. Five main conclusions can be drawn from this submission, and they warrant a much more restrained approach. First, the Government should critically reassess the assumptions that underpin the Discussion Paper. Evidence does not recommend that Canada follow the sort of competition regulation or reform contemplated elsewhere, nor should Canada be compelled to act just because other countries are “doing something.” Any potential reform should be based on careful examination of the facts and evidence and should be scrupulous in applying the error-costs framework. In addition, despite frequent rhetoric to the contrary, it is entirely unclear that “digital” markets present the sort of unique challenges that would necessitate an overhaul of the Competition Act.

Second, there is no rhyme or reason to presumptions against self-preferencing behavior. Self-preferencing is normal business conduct that can—and often does—yield procompetitive benefits, including improved economies of scope, greater efficiencies, and improved products for consumers. In addition, a ban on self-preferring could harm the startup ecosystem by discouraging acquisitions by large firms, which would ultimately diminish the incentives for startups. This is presumably not what the Government wants to achieve.

Third, altering the purpose of the Competition Act would be a grave mistake. Competition law does not serve to protect competitors, but competition; nor can harm to competitors be equated with harm to competition. To do so would harm competition and, necessarily, Canadian consumers. The quintessential task of competition laws—the Competition Act included—is to distinguish between the two, precisely because the distinction is so subtle, yet at the same time so significant. Similarly, “fairness” is a poor lodestar for competition-law enforcement because of its inherent ambiguity. Instead of these, or other standards, the Competition Act should remain rooted in the standard of “substantial lessening or prevention of competition.”

Fourth, the Government should exercise extreme caution in addressing labour-market monopsony, as altering the merger-control rules to encompass harms to labour risks both harming consumer welfare and the consistency and predictability of competition law.

Fifth, in its impetus to bolster competition-law enforcement by making it “easier” on the CCB, the Government should not sacrifice rights of defense and the rule of law for expediency. In this, at least, it can learn from the DMA’s example.

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Written Testimonies & Filings

India

Digital Rules? Not EU’s Way

In 2024, Ministry of Corporate Affairs (MCA) released a draft ex-ante digital competition law, following the lead of the EU’s Digital Markets Act (DMA). But does India need a new law that is an inspiration from a dubious DMA or is existing competition law enough?

India’s Competition Act 2002-especially in the wake of significant amendments made in 2023-offers a flexible and comprehensive framework to address anticompetitive conduct in the digital economy. It also includes sections that cover such core digital concerns as deep discounting, bundling, self-preferencing, exclusive tie-ups and the misuse of data by dominant platforms- without automatically prejudging whether such conduct is anti-competitive.

Read the full piece here.

Popular Media (ICLE)

India Should Question Europe’s Digital-Regulation Strategy

Ayear after it was created by the Government of India’s Ministry of Corporate Affairs to examine the need for a separate law on competition in digital markets, India’s Committee on Digital Competition Law (CDCL) in February both published its report recommending adoption of such rules and submitted the draft Digital Competition Act (DCA), which is virtually identical to the European Union’s Digital Markets Act (DMA).

Read the full piece here.

TOTM

Lazar Radic on India’s Competition Law Consultation

ICLE Senior Scholar Lazar Radic was quoted by India’s The Week about calls to extend the nation’s consultation on changes to competition law. You can read the full piece here.

Dr. Lazar Radic, a Senior Scholar at the International Center for Law & Economics and an Adjunct Professor of Law at IE University, said, “India should explore strategies to attract players to the market before regulating them. Regulatory challenges posed by the Digital Markets Act (DMA) might deter gatekeepers from innovating, potentially leading to negative outcomes for users, similar to the delays experienced by Meta’s Thread launch and Bard’s introduction in Europe. These incidents underscore the broader impact on consumer choice and innovation.” He added, “The DMA is also criticized for its vague goals, lack of clear cost-benefit analysis procedures, and rigid structure without exemptions for consumer benefits and industry innovation. India should avoid hastily adopting experimental regulations and instead focus on understanding the objectives behind Europe’s DMA.”
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Comment of the International Center of Law & Economics Concerning Merger Enforcement in India and the Competition Amendment Act of 2023

Introduction

We appreciate the opportunity to comment on some of the changes made by the Competition (the Amendment) Act, 2023 (Amendment Act) to India’s Competition Act of 2002 (the Act).

The International Center for Law & Economics (“ICLE”) is a nonprofit, nonpartisan, global research and policy center—based in Portland. Oregon, United States—founded to build the intellectual foundations for sensible, economically grounded policy. ICLE promotes the use of law & economics methodologies, and economic findings, to inform public policy. More specifically, ICLE and its affiliate scholars have written extensively about competition and merger policy and routinely engage with policymakers and academics across the globe on these issues.

The Amendment raises several important issues, but our comments focus on the new notification criteria for M&A deals. The Amendment adds a new notification threshold to Section 5 of the Act, which outlines when parties need to notify their merger to the Competition Commission of India. Under the new Section 5 (d), parties must notify a transaction when:

“(d) value of any transaction, in connection with acquisition of any control, shares, voting rights or assets of an enterprise, merger or amalgamation exceeds rupees two thousand crore:

Provided that the enterprise which is being acquired, taken control of, merged or amalgamated has such substantial business operations in India as may be specified by regulations.[1]

These new thresholds appear designed to catch certain startup acquisitions that would otherwise escape merger review because the target firm has little to no turnover or assets. In other words, the amendment adds a new threshold that aims to ensure potential “killer acquisitions” are reviewed by enforcers.

But while attempting to catch transactions that may harm consumers is commendable, it is important to understand the important tradeoffs that ensue. Policing mergers is anything but costless and any change in merger policy should consider both the benefits and the costs. Agencies will need to devote time and resources to assess mergers that previously were waved through without review. In turn, absent significantly more resources, this will reduce the review time devoted to the most problematic deals. Looking outside the agency, it will also increase the cost of mergers for parties, thereby chilling all deals, even procompetitive deals.

Our comment analyzes these tradeoffs in more detail, ultimately concluding that lower merger=filing thresholds may be inappropriate when viewed through the lens of the error-cost framework. Section I puts the Amendment in a global context, explaining the impetus for and weakness of attempts to bolster merger enforcement around the world. Section II outlines some of the implications of the error-cost framework for merger policy. Section III concludes by putting forward four questions that policymakers should ask themselves when they amend merger-enforcement law and policy.

I.        The Global Crackdown on Mergers

The antitrust policy world has fallen out of love with corporate mergers. After decades of relatively laissez-faire enforcement, spurred in part by the emergence of Chicago school of economics,[2] a growing number of policymakers and scholars are calling for tougher rules to curb corporate acquisitions. But these appeals are premature. There is currently little evidence to suggest that mergers systematically harm consumer welfare. More importantly, scholars fail to identify alternative institutional arrangements that could capture the anticompetitive mergers that evade prosecution without disproportionate false positives and administrative costs. Their proposals thus fail to meet the requirements of the error-cost framework.

Taking a step back, there are multiple reasons for the antitrust community’s about-face. These include concerns about rising market concentration,[3] labor-market monopsony power,[4] and of large corporations undermining the very fabric of democracy.[5] But of these numerous (mis)apprehensions, one has received the lion’s share of scholarly and political attention: a growing number of voices argue that existing merger rules fail to apprehend competitively significant mergers that either fall below existing merger-filing thresholds or affect innovation in ways that are, allegedly, ignored by current rules. For instance, Rohit Chopra, a former commissioner at the US Federal Trade Commission, asserted that too many transactions avoid antitrust scrutiny by falling through the cracks of HSR premerger notification thresholds. For instance, Rohit Chopra, a former commissioner at the U.S. Federal Trade Commission, asserted that too many transactions avoid antitrust scrutiny by falling through the cracks of the Hart-Scott-Rodino Act’s premerger-notification thresholds. As a result, Chopra claimed, “[t]he FTC ends up missing a large number of anticompetitive mergers every year.”[6]

These fears are particularly acute in the pharmaceutical and tech industries, where several high-profile academic articles and reports claim to have identified important gaps in current merger-enforcement rules, particularly with respect to acquisitions involving nascent and potential competitors.[7] Some of these gaps are purported to arise in situations that would normally appear to be procompetitive:

Established incumbents in spaces like tech, digital payments, internet, pharma and more have embarked on bids to acquire features, businesses and functionalities to shortcut the time and effort they would otherwise require for organic expansion. We have traditionally looked at these cases benignly, but it is now right to be much more cautious.[8]

As a result of these perceived deficiencies, scholars and enforcers have called for tougher rules, including the introduction of lower merger filing thresholds—similar to what is currently proposed with regard to India’s proposed reform of its merger rules—and substantive changes, such as the inversion of the burden of proof when authorities review mergers and acquisitions in the digital platform industry.[9] As a result of these perceived deficiencies, scholars and enforcers have called for tougher rules, including the introduction of lower merger-filing thresholds—similar to what has been put forward in India’s proposed reform of its merger rules—and substantive changes, such as the inversion of the burden of proof when authorities review mergers and acquisitions in the digital-platform industry.[10] Meanwhile, and seemingly in response to the increased political and advocacy pressures around the issue, U.S. antitrust enforcers have recently undertaken several enforcement actions directly targeting such acquisitions.[11] Meanwhile, and seemingly in response to the increased political and advocacy pressures around the issue, U.S. antitrust enforcers have recently undertaken several enforcement actions that directly target such acquisitions.[12]

These proposals, however, tend to overlook the important tradeoffs that would ensue from attempts to decrease the number of false positives under existing merger rules and thresholds. While merger enforcement ought to be mindful of these possible theories of harm, the theories and evidence are not nearly as robust as many proponents suggest. Most importantly, there is insufficient basis to conclude that the costs of permitting the behavior they identify is greater than the costs would be of increasing enforcement to prohibit it.[13]

In this regard, two key strands of economic literature are routinely overlooked (or summarily dismissed) by critics of the status quo.

For a start, as Judge Frank Easterbrook argued in his pioneering work on The Limits of Antitrust, antitrust enforcement is anything but costless.[14] In the case of merger enforcement, not only is it expensive for agencies to detect anticompetitive deals but, more importantly, overbearing rules may deter beneficial merger activity that creates value for consumers. Indeed, not only are most mergers welfare-enhancing, but barriers to merger activity have been shown to significantly, and negatively, affect early company investment.[15]

Second, critics are mistaking the nature of causality. Scholars routinely surmise that incumbents use mergers to shield themselves from competition. Acquisitions are thus seen as a means to eliminate competition. But this overlooks an important alternative. It is at least plausible that incumbents’ superior managerial or other capabilities (i.e., what made them successful in the first place) make them the ideal purchasers for entrepreneurs and startup investors who are looking to sell.

This dynamic is likely to be amplified where the acquirer and acquiree operate in overlapping lines of business. In other words, competitive advantage, and the ability to profitably acquire other firms, might be caused by business acumen rather than exemplifying anticompetitive behavior. And significant and high-profile M&A activity involving would-be competitors may thus be the procompetitive byproduct of a well-managed business, rather than anticompetitive efforts to stifle competition.

Critics systematically overlook this possibility. Indeed, Henry Manne’s seminal work on Mergers and Market for Corporate Control[16]—the first to argue that mergers are a means of applying superior management practices to new assets—is almost never cited by contemporary researchers in this space. Our comments attempt to set the record straight.

With this in mind, we believe that calls to reform merger enforcement rules and procedures should be analyzed under the error-cost framework. With this in mind, we believe that calls to reform merger-enforcement rules and procedures should be analyzed under the error-cost framework. Accordingly, the challenge for policymakers is not merely to minimize type II errors (i.e., false acquittals), which have been a key area of focus for recent scholarship, but also type I errors (i.e., false convictions) and enforcement costs. This is particularly important in the field of merger enforcement, where authorities need to analyze vast numbers of transactions in extremely short periods of time.

In other words, while scholars have raised valid concerns, they have not suggested alternative institutional arrangements to address them that would lead to better overall outcomes. In other words, while scholars have raised valid concerns, they have not suggested alternative institutional arrangements to address those concerns that would lead to better overall outcomes. All legal enforcement systems are imperfect, and it is not enough to justify changes to the system that some imperfections can be identified.[17] Indeed, it could be that antitrust doctrine currently condones practices that harm innovation, but that there is no cost-effective way to reliably identify and deter this harmful conduct.

For instance, as we discuss below, a recent paper estimates that between 5.3% and 7.4% of pharmaceutical mergers are “killer acquisitions.”[18] But even if that is accurate, it suggests no tractable basis on which those acquisitions can be differentiated ex ante from the 92.6% to 94.7% that are presumed to be competitively neutral or procompetitive. A reformed system that overly deters these acquisitions in order to capture more of the problematic ones—which is presumably the purpose of the merger-related amendments in the 2023 Competition Act— is not necessarily an improvement.

Further, while many of the arguments suggesting that the current system is imperfect are well-taken, these claims of systemic problems are not always as robust as proponents suggest. This further weakens the case for policy reform, because any potential gains from such reforms are likely far less certain than they are often claimed to be.

II.      Antitrust and the Error-Cost Framework

Firms spend trillions of dollars globally every year on corporate mergers, acquisitions, and R&D investments.[19] Most of the time, these investments are benign, often leading to cost reductions, synergies, new or improved products, and lower prices for consumers.[20] For smaller firms, the possibility of being acquired can be vital to making a product worth developing.

There are also instances, however, when M&A activity enables firms to increase their market power and reduce output. Therein lies the fundamental challenge for antitrust authorities: among these myriad transactions, investments, and business decisions, is it possible to effectively sort the wheat from the chaff in a way that leads to net improvements in efficiency and competition, and ultimately consumer welfare? In more concrete terms, the question is: are there reasonable rules and standards that enforcers can use to filter out anticompetitive practices while allowing beneficial ones to follow their course? And if so, can this be done in a timely and cost-effective manner?[21]

A.      The Use of Filters in Antitrust

What might appear to be a herculean task has, in fact, been considerably streamlined, and vastly improved, by the emergence of the error-cost framework, itself a byproduct of pioneering advances in microeconomics and industrial organization.[22] This is “the economists’ way out.”[23] The error-cost framework is designed to enable authorities to focus their limited resources on that conduct most likely to have anticompetitive effects. In practice, this is done by applying several successive filters that separate potentially anticompetitive practices from ones that are likely innocuous.[24] Depending on this initial classification, practices are then submitted to varying levels of scrutiny, which may range from per se prohibitions to presumptive legality.[25]

Of the thousands of M&A transactions each year, only a few must be notified to antitrust authorities, and fewer still are subject to in-depth reviews.[26] For instance, in both the United States and the European Union, only deals that meet certain transaction values and/or revenue thresholds require merger notifications.[27] Accordingly, U.S. antitrust authorities receive somewhere in the vicinity of 2,000 merger filings per year, while the European Commission usually receives a few hundred.[28] Typically, less than 5% of these mergers are ultimately subjected to in-depth reviews.[29] These cases are selected by applying yet another set of filters that include: looking at the relationship between the merging firms (horizontal, vertical, conglomerate); calculating market shares and concentration ratios; and checking whether transactions fall within several recognized theories of harm.[30]

Similar filtering mechanisms apply to other forms of conduct. Incumbent firms routinely decide to enter adjacent markets, for instance, or to adopt strategies that might incidentally reduce competition in markets where they are already present. As with mergers, authorities and courts apply a series of filters/presumptions to home in on those practices most likely to cause anticompetitive harm.[31] Firms with low market shares are deemed less likely to possess market power (and thus, less likely to harm competition); vertical agreements are widely seen as being less problematic than horizontal ones; and vertical integration is widely regarded as procompetitive, absent other accompanying factors.[32]

This system is certainly not perfect; filtering cases in this manner inevitably lets some anticompetitive practices fall through the cracks. Indeed, the error-cost framework is premised on the recognition of this eventuality. Nevertheless, the strengths of this paradigm arguably outweigh its weaknesses. “If presumptions let some socially undesirable practices escape, the cost is bearable. . . . One cannot have the savings of decision by rule without accepting the costs of mistakes.”[33]

In most jurisdictions around the world, today’s competition merger-control apparatus is administrable,[34] somewhat predictable,[35] and—in the case of merger enforcement—it ensures that deals are reviewed in a relatively timely manner.[36]

The contours of this system have profound ramifications for substantive antitrust policy. Potential reforms need to account for the tradeoffs inherent to this vision of antitrust enforcement: between false positives and false negatives, between timeliness and thoroughness, and so on. Accordingly, the relevant policy question is not whether existing provisions allow certain categories of potentially harmful conduct to go unchallenged. Instead, policymakers should ask whether there is a better set of filters and heuristics that would enable authorities and courts to prevent previously unchallenged anticompetitive conduct without overburdening the system or disproportionately increasing false positives. In short, antitrust enforcers must avoid the so-called “nirvana fallacy” of believing that all errors can be eliminated, and existing policies should thus always be weighed against alternative institutional arrangements (as opposed to merely identifying instances where they lead to false negatives).[37]

B.      Calls for a Reform of Merger-Enforcement Rules and Thresholds

Against this backdrop, a growing body of economic literature has identified potential inadequacies in both the U.S. and EU merger-control regimes, as well as the antitrust rules that govern the business practices of digital platforms (notably, vertical integration and tying).[38] These critiques focus on ways in which incumbents might prevent nascent or potential rivals from introducing innovative new products and services that could disrupt their existing businesses. In short, this recent economic literature purports to show how incumbents might use their dominant market positions to reduce innovation.

For instance, recent empirical research purports to show that mergers of pharmaceutical companies with overlapping R&D pipelines result in higher project-termination rates, thus reducing innovation and, ultimately, price competition. These are referred to as “killer acquisitions.”[39] Others have argued that killer acquisitions also occur in the tech sector, although the empirical evidence offered to support this second claim is much weaker. In large part, this is because it does not differentiate between legitimate, efficient discontinuations of acquired products (such as the product being unsuccessful on the market, or the acquisition being done to hire the staff of the acquired firm) and the elimination of potential competitors.[40] Acquisitions of nascent and potential competitors undertaken with the intention of reducing competition have also been described as “killer acquisitions,” even if they do not involve their products being discontinued.[41]

Along similar lines, it is sometimes argued that large tech firms create so-called “kill zones” around their core businesses.[42] Similarly, some scholars assert that incumbent digital platforms might seek to foreclose rivals in adjacent markets by “copying” their products, or by using proprietary datasets that tilt the scales in their favor.[43]

All of these practices are said to harm innovation by deterring the incentives of competitors to invest in innovations that compete with incumbents. And the overarching theme of the above research is that existing antitrust doctrine is ill-equipped to handle these practices—or, at the very least, that antitrust law should be enforced more vigorously in these settings.

But while the above research identifies important and potentially harmful conduct that cannot be dismissed out of hand, it is important to recognize its inherent limitations when it comes to informing normative policy decisions. Indeed, there is a vast difference between identifying categories of conduct that sometimes harm consumers, on the one hand, and being able to isolate individual instances of anticompetitive behavior, on the other (and even then, it is important to distinguish conduct that harms consumers overall from conduct that merely harms certain parameters of competition while improving others. In other words, antitrust law should prohibit conduct when the category it belongs to is generally harmful to consumers and/or when harmful occurrences of that conduct can readily be distinguished[44]).

The above is merely a restatement of the error-cost framework, which highlights that the existence of false negatives is not a sufficient condition for increased intervention. The fact—if it can be proved—that there were some false negatives does not imply that there has been underenforcement with respect to the optimal level of enforcement. In other words, in the digital space, the argument can be made that an optimal merger policy on average leads to ex-post “underenforcement.” Moreover, even if the level of enforcement has been lower than optimal, one must be careful not to swing too far in the opposite direction, especially in high-tech industries. The chilling effect on innovation could be significant.[45] Instead, any change to the standards of government intervention that seeks to prevent more of these false negatives, with all the accompany tradeoffs and risks inherent to this enterprise, must ultimately increases social welfare overall.

Take the example of Google. It has acquired at least 270 companies over the last two decades.[46] It has been argued that some of these—such as Google’s acquisitions of YouTube, Waze, or DoubleClick—may have been anticompetitive. The real test for regulators, however, is whether they could reliably identify which of Google’s 270 acquisitions are actually anticompetitive and do so under a decision rule that causes less harm to consumers from false positives caused by the current (alleged) false negatives. If the anticompetitive mergers are such a tiny percentage of total mergers, and if identifying them a priori is difficult, then a precautionary-principle strategy that results in many false positives would likely not merit the benefits from blocking one or two anticompetitive mergers.

Indeed, but for Google and Facebook’s investments in YouTube and Instagram (to cite but two examples), it is far from clear that a mere “video-hosting service” or “photo-sharing app” would have grown into the robust competitor that advocates assume. Apart from the potential synergies arising from the combination of these products with the acquiring companies’ other products (for example, YouTube’s search and recommendation engines being developed by Google, the world’s leading internet-search company, or Instagram’s ad platform being integrated with Facebook’s), corporate control by the acquiring company may lead to these firms being better managed. This concept of M&A as creating a “market for corporate control” adds an important new dimension to the understanding of the tradeoffs involved.[47]

These anticompetitive theories of harm can thus be separated into three broad categories: (1) large incumbents have become so dominant in their primary markets that venture capitalists decline to fund startups that compete head-on, reducing potential competition; (2) these incumbents acquire potential competitors or non-competitor startups so as to reduce the competition along several dimensions, and (3) that incumbents purchase competitors to shut down their overlapping innovation pipelines (i.e., killer acquisitions).

III.    Concluding Remarks

With this in mind, applying the error-cost framework should lead policymakers to carefully consider the following questions when evaluating the merits and policy implications of economic research in this space:

  1. Do the papers advancing these theories identify categories of conduct that, on average, harm consumer welfare?
  2. If not, do the papers identify additional factors that would enable authorities to infer the existence of anticompetitive effects in individual cases?
  3. If so, would it be feasible for authorities to add these factors to their analysis (in terms of time and resources)?
  4. Finally, would prohibiting these practices at an individual or category level prevent efficiencies that would otherwise outweigh these anticompetitive harms? And could these efficiencies be analyzed on a case-by-case basis?

In addition to these error-cost-related questions, it is also necessary to question whether the results of these studies are relevant outside of the specific markets that they examine, and whether they give sufficient weight to countervailing procompetitive justifications.

All of this has profound ramifications for amendments to India’s competition law. Lowering merger-filing thresholds may be counterproductive if it means fewer enforcement resources are devoted to other, more important cases. To make matters worse, heightened merger-control rules may deter firms from merging in the first place. This could have dramatic consequences for an economy like India’s, which depends on startup activity to remain on its current growth path. In short, we recommend that Indian policymakers carefully consider whether the possibility of catching an additional handful of anticompetitive mergers is worth the significant costs that would be incurred by the Indian economy.

 

 

[1] The Competition Act (2002), as modified by the 2023 Amendment, Section 5 (d).

[2] See, e.g., Jonathan B Baker, Recent Developments in Economics That Challenge Chicago School Views, 58 Antitrust L.J. 655 (1989) (“Over the past fifteen years, the courts and enforcement agencies have created Robert Bork’s antitrust paradise. Antitrust has adopted the Chicago School’s efficiency analysis and the Chicago School’s conclusions about the effects of business practices.”). Note that, in many ways, the Chicago and late-Harvard views are somewhat similar when it comes to mergers—both schools of thought might thus have influenced this loosening of merger policy. See, e.g., Richard A Posner, The Chicago School of Antitrust Analysis, U. Penn. L. Rev. 937 (1979) (“The change in thinking that has been brought about by the Chicago school is nowhere more evident than in the area of vertical integration. Kaysen and Turner, writing in 1959, advocated for- bidding any vertical merger in which the acquiring firm had twenty percent or more of its market. Areeda and Turner, writing in 1978, express very little concern with anticompetitive effects from vertical integration. In fact, as between a rule of per se illegality for vertical integration by monopolists and a rule of per se legality, their preference is for the latter.”).

[3] See, e.g., Germán Gutiérrez & Thomas Philippon, Declining Competition and Investment in the U.S., NBER Working Paper 1 (2017) (“The U.S. business sector has under-invested relative to Tobin’s Q since the early 2000’s. We argue that declining competition is partly responsible for this phenomenon.”). Contra, Esteban Rossi-Hansberg, Pierre-Daniel Sarte & Nicholas Trachter, Diverging trends in national and local concentration, 35 NBER Macroeconomics Annual 1 (2021) (“Using US NETS data, we present evidence that the positive trend observed in national product-market concentration between 1990 and 2014 becomes a negative trend when we focus on measures of local concentration. We document diverging trends for several geographic definitions of local markets. SIC 8 industries with diverging trends are pervasive across sectors. In these industries, top firms have contributed to the amplification of both trends. When a top firm opens a plant, local concentration declines and remains lower for at least 7 years. Our findings, therefore, reconcile the increasing national role of large firms with falling local concentration, and a likely more competitive local environment.”).

[4] See, e.g., José Azar, Ioana Marinescu, Marshall Steinbaum & Bledi Taska, Concentration in U.S. labor markets: Evidence From Online Vacancy Data, 66 Labour Economics 101886 (2020) (“These indicators suggest that employer concentration is a meaningful measure of employer power in labor markets, that there is a high degree of employer power in labor markets, and also that it varies widely across occupations and geography.”).

[5] See, e.g., Tim Wu, The Curse of Bigness: Antitrust in the New Gilded Age 9 (2018) (“We have managed to recreate both the economics and politics of a century ago—the first Gilded Age—and remain in grave danger of repeating more of the signature errors of the twentieth century. As that era has taught us, extreme economic concentration yields gross inequality and material suffering, feeding an appetite for nationalistic and extremist leadership. Yet, as if blind to the greatest lessons of the last century, we are going down the same path. If we learned one thing from the Gilded Age, it should have been this: The road to fascism and dictatorship is paved with failures of economic policy to serve the needs of the general public.”).

[6] Rohit Chopra, Statement of Commissioner Rohit Chopra, 85 Fed. Regis. 231, 77052 (2020) (“Adequate premerger reporting is a helpful tool used to halt anticompetitive transactions before too much damage is done. However, the usefulness of the HSR Act only goes so far. This is because many deals can quietly close without any notification and reporting, since only transactions above a certain size are reportable.”).

[7] See Collen Cunningham, Florian Ederer, & Song Ma, Killer Acquisitions, 129 J. Pol. Econ. 649 (2021); Sai Krishna Kamepalli, Raghuram Rajan & Luigi Zingales, Kill Zone, Nat’l Bureau of Econ. Research, Working Paper No. 27146 (2020); Digital Competition Expert Panel, Unlocking Digital Competition (2019), available at https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/785547/unlocking_digital_competition_furman_review_web.pdf; Stigler Center for the Study of the Economy and the State, Stigler Committee on Digital Platforms (2019), available at https://www.publicknowledge.org/wp-content/uploads/2019/09/Stigler-Committee-on-Digital-Platforms-Final-Report.pdf; Australian Competition & Consumer Commission, Digital Platforms Inquiry (2019), available at https://www.accc.gov.au/system/files/Digital%20platforms%20inquiry%20-%20final%20report.pdf. See also Jacques Cre?mer, Yves-Alexandre De Montjoye, Heike Schweitzer, Competition Policy For The Digital Era Final Report (2019), available at https://ec.europa.eu/competition/publications/reports/kd0419345enn.pdf [hereinafter “Crémer Report”].

[8] Cristina Caffarra, Gregory S. Crawford, & Tommaso Valletti, “How Tech Rolls”: Potential Competition and “Reverse” Killer Acquisitions, 2 Antitrust Chron. 1, 1 (2020).

[9] As far as jurisdictional thresholds are concerned, see, e.g., Crémer Report, supra note 7, at 10 (“Many of these acquisitions may escape the Commission’s jurisdiction because they take place when the start-ups do not yet generate sufficient turnover to meet the thresholds set out in the EUMR. This is because many digital startups attempt first to build a successful product and attract a large user base while sacrificing short-term profits; therefore, the competitive potential of such start-ups may not be reflected in their turnover. To fill this gap, some Member States have introduced alternative thresholds based on the value of the transaction, but their practical effects still have to be verified.”). As far as inverting the burden of proof is concerned, see, e.g., Crémer Report, supra note 7, at 11 (“The test proposed here would imply a heightened degree of control of acquisitions of small start-ups by dominant platforms and/or ecosystems, to be analysed as a possible strategy against partial user defection from the ecosystem. Where an acquisition is plausibly part of such a strategy, the notifying parties should bear the burden of showing that the adverse effects on competition are offset by merger-specific efficiencies.”).

[10] As far as jurisdictional thresholds are concerned, see, e.g., Crémer Report, supra note 7, at 10 (“Many of these acquisitions may escape the Commission’s jurisdiction because they take place when the start-ups do not yet generate sufficient turnover to meet the thresholds set out in the EUMR. This is because many digital startups attempt first to build a successful product and attract a large user base while sacrificing short-term profits; therefore, the competitive potential of such start-ups may not be reflected in their turnover. To fill this gap, some Member States have introduced alternative thresholds based on the value of the transaction, but their practical effects still have to be verified.”). As far as inverting the burden of proof is concerned, see, e.g., Crémer Report, supra note 7, at 11 (“The test proposed here would imply a heightened degree of control of acquisitions of small start-ups by dominant platforms and/or ecosystems, to be analysed as a possible strategy against partial user defection from the ecosystem. Where an acquisition is plausibly part of such a strategy, the notifying parties should bear the burden of showing that the adverse effects on competition are offset by merger-specific efficiencies.”).

[11] See FTC Press Release, FTC Sues to Block Procter & Gamble’s Acquisition of Billie, Inc. (Dec. 8, 2020), https://www.ftc.gov/news-events/press-releases/2020/12/ftc-sues-block-procter-gambles-acquisitionbillie-inc; DOJ Press Release, Justice Department Sues to Block Visa’s Proposed Acquisition of Plaid (Nov. 5, 2020), https://www.justice.gov/opa/pr/justice-department-sues-block-visas-proposedacquisition-plaid; FTC Press Release, FTC Files Suit to Block Edgewell Personal Care Company’s Acquisition of Harry’s, Inc. (Feb. 3, 2020), https://www.ftc.gov/news-events/press-releases/2020/02/ftcfiles-suit-block-edgewell-personal-care-companys-acquisition; FTC Press Release, FTC Challenges Illumina’s Proposed Acquisition of PacBio (Dec. 17, 2019), https://www.ftc.gov/newsevents/pressreleases/2019/12/ftc-challenges-illuminas-proposed-acquisition-pacbio; DOJ Press Release, Justice Department Sues to Block Sabre’s Acquisition of Farelogix (Aug. 20, 2019), https://www.justice.gov/opa/pr/justice-department-sues-block-sabres-acquisition-farelogix.

[12] See FTC Press Release, FTC Sues to Block Procter & Gamble’s Acquisition of Billie, Inc. (Dec. 8, 2020), https://www.ftc.gov/news-events/press-releases/2020/12/ftc-sues-block-procter-gambles-acquisitionbillie-inc; DOJ Press Release, Justice Department Sues to Block Visa’s Proposed Acquisition of Plaid (Nov. 5, 2020), https://www.justice.gov/opa/pr/justice-department-sues-block-visas-proposedacquisition-plaid; FTC Press Release, FTC Files Suit to Block Edgewell Personal Care Company’s Acquisition of Harry’s, Inc. (Feb. 3, 2020), https://www.ftc.gov/news-events/press-releases/2020/02/ftcfiles-suit-block-edgewell-personal-care-companys-acquisition; FTC Press Release, FTC Challenges Illumina’s Proposed Acquisition of PacBio (Dec. 17, 2019), https://www.ftc.gov/newsevents/pressreleases/2019/12/ftc-challenges-illuminas-proposed-acquisition-pacbio; DOJ Press Release, Justice Department Sues to Block Sabre’s Acquisition of Farelogix (Aug. 20, 2019), https://www.justice.gov/opa/pr/justice-department-sues-block-sabres-acquisition-farelogix.

[13] See, e.g., Prepared Remarks of Commissioner Noah Joshua Phillips, “Reasonably Capable? Applying Section 2 to Acquisitions of Nascent Competitors,” Antitrust in the Technology Sector: Policy Perspectives and Insights From the Enforcers Conference (Apr. 29, 2021), available at https://www.ftc.gov/system/files/documents/public_statements/1589524/reasonably_capable_-_acquisitions_of_nascent_competitors_4-29-2021_final_for_posting.pdf (“Some would-be reformers view M&A as fundamentally predatory and wish to “level the playing” field for smaller, less competitive, or more sympathetic businesses by throwing as much sand in the gears as possible. But their Harrison Bergeron vision of competition, handicapping successful businesses, will not so much level the field as tilt the scales dramatically in favor of the government, handing tremendous power to regulators, sapping American competitiveness, and hitting Americans in their pocketbooks.”).

[14] Frank H. Easterbrook, The Limits of Antitrust, 63 Tex. L. Rev. 1 (1984).

[15] For vertical mergers, the welfare-enhancing effects are well-established. See, e.g., Francine Lafontaine & Margaret Slade, Vertical Integration and Firm Boundaries: The Evidence, 45 J. Econ. Lit. 677 (2007) (“In spite of the lack of unified theory, over all a fairly clear empirical picture emerges. The data appear to be telling us that efficiency considerations overwhelm anticompetitive motives in most contexts. Furthermore, even when we limit attention to natural monopolies or tight oligopolies, the evidence of anticompetitive harm is not strong.”). See also, Global Antitrust Institute, Comment Letter on Federal Trade Commission’s Hearings on Competition and Consumer Protection in the 21st Century, Vertical Mergers 8–9, Geo. Mason Law & Econ. Research Paper No. 18-27 (2018), https://ssrn.com/abstract=3245940 (“In sum, these papers from 2009-2018 continue to support the conclusions from Lafontaine & Slade (2007) and Cooper et al. (2005) that consumers mostly benefit from vertical integration. While vertical integration can certainly foreclose rivals in theory, there is only limited empirical evidence supporting that finding in real markets. The results continue to suggest that the modern antitrust approach to vertical mergers 9 should reflect the empirical reality that vertical relationships are generally procompetitive.”). Along similar lines, empirical research casts doubt on the notion that antitrust merger enforcement (in marginal cases) raises consumer welfare. The effects of horizontal mergers are, empirically, less well-documented. See, e.g., Robert W Crandall & Clifford Winston, Does Antitrust Policy Improve Consumer Welfare? Assessing the Evidence, 17 J. Econ. Persp. 20 (2003) (“We can only conclude that efforts by antitrust authorities to block particular mergers or affect a merger’s outcome by allowing it only if certain conditions are met under a consent decree have not been found to increase consumer welfare in any systematic way, and in some instances the intervention may even have reduced consumer welfare.”). While there is some evidence that horizontal mergers can reduce consumer welfare, at least in the short run, see, for example, Gregory J. Werden, Andrew S. Joskow, & Richard L. Johnson, The Effects of Mergers on Price and Output: Two Case Studies from the Airline Industry, 12 Mgmt. Decis. Econ. 341 (1991), the long-run effects appear to be strongly positive. See, e.g., Dario Focarelli & Fabio Panetta, Are Mergers Beneficial to Consumers? Evidence from the Market for Bank Deposits, 93 Am. Econ. Rev. 1152, 1152 (2003) (“We find strong evidence that, although consolidation does generate adverse price changes, these are temporary. In the long run, efficiency gains dominate over the market power effect, leading to more favorable prices for consumers.”). See also generally Michael C. Jensen, Takeovers: Their Causes and Consequences, 2 J. Econ. Persp. 21 (1988). Some related literature similarly finds that horizontal merger enforcement has harmed consumers. See B. Espen Eckbo & Peggy Wier, Antimerger Policy Under the Hart-Scott-Rodino Act: A Reexamination of the Market Power Hypothesis, 28 J.L. & Econ. 119, 121 (1985) (“In sum, our results do not support the contention that enforcement of Section 7 has served the public interest. While it is possible that the government’s merger policy has deterred some anticompetitive mergers, the results indicate that it has also protected rival producers from facing increased competition due to efficient mergers.”); B. Espen Eckbo, Mergers and the Value of Antitrust Deterrence, 47 J. Finance 1005, 1027-28 (1992) (rejecting “the market concentration doctrine on samples of both U.S. and Canadian mergers. By implication, the results also reject the effective deterrence hypothesis. The evidence is, however, consistent with the alternative hypothesis that the horizontal mergers in either of the two countries were expected to generate productive efficiencies”). Regarding the effect of mergers on investment, see, e.g., Gordon M. Phillips & Alexei Zhdanov, Venture Capital Investments and Merger and Acquisition Activity Around the World, NBER Working Paper No. w24082 (Nov. 2017), available at https://ssrn.com/abstract=3082265 (“We examine the relation between venture capital (VC) investments and mergers and acquisitions (M&A) activity around the world. We find evidence of a strong positive association between VC investments and lagged M&A activity, consistent with the hypothesis that an active M&A market provides viable exit opportunities for VC companies and therefore incentivizes them to engage in more deals.”). And increased M&A activity in the pharmaceutical sector has not led to decreases in product approvals; rather, quite the opposite has happened. See, e.g., Barak Richman, Will Mitchell, Elena Vidal, & Kevin Schulman, Pharmaceutical M&A Activity: Effects on Prices, Innovation, and Competition, 48 Loyola U. Chi. L.J. 799 (2017) (“Our review of data measuring pharmaceutical innovation, however, tells a different story. First, even as merger activity in the United States increased over the past ten years, there has been a steady upward trend of FDA approvals of new molecular entities (“NMEs”) and new biological products (“BLAs”). Hence, the industry has been highly successful in bringing new products to the market.”).

[16] Henry G. Manne, Mergers and the Market for Corporate Control, 73 J. Pol. Econ. 110 (1965).

[17] See Harold Demsetz, Information and Efficiency: Another Viewpoint, 12 J.L. Econ. 1, 22 (1969) (“The view that now pervades much public policy economics implicitly presents the relevant choice as between an ideal norm and an existing “imperfect” institutional arrangement. This nirvana approach differs considerably from a comparative institution approach in which the relevant choice is between alternative real institutional arrangements.”).

[18] Cunningham et al., supra note 7, at 692 (“Given these assumptions and estimates, what would the fraction ν of pure killer acquisitions among transactions with overlap have to be to result in the lower development of acquisitions with overlap (13.4%)? Specifically, we solve the equation 13.4% = ν × 0 + (1 − ν) × 17.5% for ν which yields ν = 23.4%. Therefore, we estimate that 5.3% (= ν × 22.7%) of all acquisitions, or about 46 (= 5.3% × 856) acquisitions every year, are killer acquisitions. If instead we assume the non-killer acquisitions to have the same development likelihood as non-acquired projects (19.9%), we estimate that 7.4% of acquisitions, or 63 per year, are killer acquisitions.”).

[19] See Value of Mergers and Acquisitions (M&A) Worldwide from 1985 to 2020, Statista (Jan. 15, 2021), https://www.statista.com/statistics/267369/volume-of-mergers-and-acquisitions-worldwide. See Gross Domestic Spending on R&D, OECD (last visited Apr. 29, 2021) https://data.oecd.org/rd/gross-domestic-spending-on-r-d.htm.

[20] See supra note 15.

[21] Running the antitrust system is itself a cost to society.

[22] See, e.g., Olivier E. Williamson, Economies as an Antitrust Defense: The Welfare Tradeoffs, 58 Am. Econ. Rev. 18 (1968). See also, Easterbrook, supra note 14; Henry G. Manne, supra note 16; William M Landes & Richard A Posner, Market Power in Antitrust Cases, 94 Harv. L. Rev. 937 (1980).

[23] Easterbrook, id., at 14.

[24] See Easterbrook, id., at 17 (“The task, then, is to create simple rules that will filter the category of probably beneficial practices out of the legal system, leaving to assessment under the Rule of Reason only those with significant risks of competitive injury.”).

[25] Id. at 15 (“They should adopt some simple presumptions that structure antitrust inquiry. Strong presumptions would guide businesses in planning their affairs by making it possible for counsel to state that some things do not create risks of liability. They would reduce the costs of litigation by designating as dispositive particular topics capable of resolution.”).

[26] See Number of Merger and Acquisition Transactions Worldwide from 1985 to 2021, Statista (May 14, 2021), https://www.statista.com/statistics/267368/number-of-mergers-and-acquisitions-worldwide-since-2005.

[27] See 15 U.S.C. §18a (1976). See also, FTC Premerger Notification Office Staff, HSR Thresholds Adjustments and Reportability for 2020, FTC Competition Matters (Jan. 31, 2020), https://www.ftc.gov/news-events/blogs/competition-matters/2020/01/hsr-threshold-adjustments-reportability-2020. See also Council Regulation 139/2004, 2004 O.J. (L 24) 1, 22 (EC).

[28] See Federal Trade Comm’n & U.S. Dep’t of Justice, Hart-Scott-Rodino Annual Report Fiscal Year 2019 (2020), available at https://www.ftc.gov/system/files/documents/reports/federal-trade-commission-bureau-competition-department-justice-antitrust-division-hart-scott-rodino/p110014hsrannualreportfy2019_0.pdf. See also, European Commission, Merger Statistics, 21 September 1990 to 31 December 2020 (2021), available at https://ec.europa.eu/competition/mergers/statistics.pdf.

[29] See FTC and European Commission, id.

[30] See U.S. Dep’t of Justice & Fed. Trade Comm’n, Horizontal Merger Guidelines (2010), U.S. Dep’t of Justice & Fed. Trade Comm’n, Vertical Merger Guidelines (2020). See also Commission Guidelines on the Assessment of Non-Horizontal Mergers Under the Council Regulation on the Control of Concentrations Between Undertakings, 2008 O.J. (C 265) 6, 25.

[31] See Federal Trade Commission & U.S. Department of Justice, Antitrust Guidelines for the Licensing of Intellectual Property 15 (Jan. 12, 2017) (“The existence of a horizontal relationship between a licensor and its licensees does not, in itself, indicate that the arrangement is anticompetitive. Identification of such relationships is merely an aid in determining whether there may be anticompetitive effects arising from a licensing arrangement.”). See also European Commission, Communication from the Commission—Guidance on the Commission’s Enforcement Priorities in Applying Article 82 of the EC Treaty to Abusive Exclusionary Conduct by Dominant Undertakings, O.J. C. 45, 7–20 (Feb. 24, 2009).

[32] See Antitrust Guidelines for the Licensing of Intellectual Property, id. See also, Commission Guidelines on Vertical Restraints, 2010 O.J. (C 130) 1, 46, available at https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52010XC0519(04)&from=EN.

[33] Easterbrook, supra note 14, at 15.

[34] It requires only limited government resources to function, compared to, for example, a system that reviews every merger in detail.

[35] Companies can self-assess whether their mergers are likely to be struck down by authorities and adapt their investment decisions accordingly.

[36] Even in-depth merger investigations are typically concluded within months, rather than years.

[37] See Demsetz, supra note 17, at 1 (“The view that now pervades much public policy economics implicitly presents the relevant choice as between an ideal norm and an existing “imperfect” institutional arrangement. This nirvana approach differs considerably from a comparative institution approach in which the relevant choice is between alternative real institutional arrangements.”).

[38] See Cunningham et al., supra note 7; Zingales et al., supra note 7; Kevin A Bryan & Erik Hovenkamp, Antitrust Limits on Startup Acquisitions, 56 Rev. Indus. Org. 615 (2020); Mark A. Lemley & Andrew McCreary, Exit Strategy, Stanford Law and Economics Working Paper No. 542 (2020), available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3506919.

[39] See Cunningham et al., id. at 650 (“We argue that an incumbent firm may acquire an innovative target and terminate the development of the target’s innovations to preempt future competition. We call such acquisitions ‘killer acquisitions,’ as they eliminate potentially promising, yet likely competing, innovation.”).

[40] See, e.g., Axel Gautier & Joe Lamesch, Mergers in the Digital Economy, Info. Econ. & Pol’y (2000) (“There are three reasons to discontinue a product post-acquisition: the product is not as successful as expected, the acquisition was not motivated by the product itself but by the target’s assets or R&D effort, or by the elimination of a potential competitive threat. While our data does not enable us to screen between these explanations, the present analysis shows that most of the startups are killed in their infancy.”).

[41] John M. Yun, Potential Competition, Nascent Competitors, and Killer Acquisitions, in GAI Report on the Digital Economy (Ginsburg & Wright, eds. 2000).

[42] See Zingales et al. supra note 7.

[43] See, e.g., Kevin Caves & Hal Singer, When the Econometrician Shrugged: Identifying and Plugging Gaps in the Consumer-Welfare Standard, 26 Geo. Mason L. Rev. 396 (2018) (“Or imagine the platform was appropriating or “cloning” app functionality into its basic service. The only potential harm in this instance would be that independent edge providers would be encouraged to exit or discouraged from entering in future periods. In theory, edge providers might be discouraged to compete in the app space given what they perceive to be a slanted playing field.”).

[44] See, e.g., Eric Fruits, Justin (Gus) Hurwitz, Geoffrey A. Manne, Julian Morris, & Alec Stapp, Static and Dynamic Effects of Mergers: A Review of the Empirical Evidence in the Wireless Telecommunications Industry, OECD Directorate for Financial and Enterprise Affairs Competition Committee, Global Forum on Competition, DAF/COMP/GF(2019)13 (Dec. 6, 2019) at ¶ 61, available at https://one.oecd.org/document/DAF/COMP/GF(2019)13/en/pdf (“Studies that do not consider these [non-price] effects are incomplete for purposes of evaluating the mergers’ consumer welfare effects, and [are] all-too-easily used by advocates to misleadingly predict negative consumer outcomes. This is not necessarily a criticism of the studies themselves, which generally do not make comprehensive policy conclusions. The reality is that it is exceptionally difficult to comprehensively study even price effects, such that a well-conducted study of price effects alone is a valuable contribution to the literature. Nevertheless, in the context of evaluating prospective transactions, the results of such studies must be discounted to account for their exclusion of non-price effects.”).

[45] Luís Cabral, Merger Policy in Digital Industries, CEPR Discussion Paper No. DP14785 (May 2020) at 12, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3612854.

[46] See Carl Shapiro, Antitrust in the Time of Populism, 61 Int’l J. Indus. Org. 714 (2018).

[47] See Henry G. Manne, supra note 16.

Regulatory Comments

European Union’s Digital Markets Act Not Suitable for Developing Economies, Including India

Government competition enforcers and policymakers are charged with ensuring India’s economic development by protecting the interests of consumers and ensuring freedom of trade in India’s markets. Regulation of digital markets is an increasingly important component of this enterprise. But emulating Europe’s Digital Markets Act (DMA) by imposing preemptive constraints on digital platforms would be particularly destructive in India’s unique and developing market. 

Read the full piece here.

Popular Media (ICLE)

Japan

Reining in Smartphone Ecosystems and App Stores: A Critique of the Japanese Smartphone Act in Comparison to EU and U.S. Regulatory Approaches

Abstract

In June 2024, Japan enacted the Act on Promotion of Competition for Specified Smartphone Software, a new legislative measure aimed at regulating smartphone ecosystems. This article examines and compares the Act, commonly known as the “Japanese Smartphone Act,” to the European Union (EU) and U.S. regulatory approaches. The examination begins with the neutrality principle, which serves as the foundation of the Act, concluding that this principle should be refrained from since it prevents platform operators from governing their platforms. Next, the examination addresses regulations against unfair and exploitative conduct toward app providers, concluding that such conduct should be subject to regulation under competition law, adhering to the rule of reason principle. Finally, the examination outlines measures to facilitate app store openness, cautioning against micromanaging smartphone design details by regulators. It recommends that instead of ex ante rules, competition law should govern smartphone ecosystems.

Read the full piece here.

Scholarship (Affiliate)

ICLE Comments to JFTC on Japanese Smartphone Act (SSCPA)

1. Introduction

Thank you for the opportunity to submit our comments on the “Guidelines (Draft) for the Promotion of Competition in Smartphone Software.” The International Center for Law & Economics (ICLE) is a nonprofit, nonpartisan global research and policy center founded with the goal of building the intellectual foundations for sensible, economically grounded policy. ICLE promotes the use of law & economics methodologies to inform public-policy debates and has longstanding expertise in the evaluation of competition law and policy. ICLE’s interest is to ensure that competition law remains grounded in clear rules, established precedent, a record of evidence, and sound economic analysis.

Our comments make the following overarching points . First, the SSCPA violates liberal economic principles by enabling discretionary intervention by the JFTC in the face of active competition in the smartphone ecosystem. The draft Guidelines do not significantly cabin this discretion. More objective criteria are called for, with limited regulatory discretion and deference to technical decisions made by Apple and Google. Second, and relatedly, the discretion is not consistent with the provisions and interpretations of the Antimonopoly Act regarding unfair or unjust discrimination. Third, the SSCPA and the draft Guidelines unfairly target Apple’s integrated “end-to-end” ecosystem, and the provisions related to data use, alternative app stores and browsers, interoperability, payment systems, and pricing controls impose unobjective and overbroad standards on Apple. Fourth, these measures risk degrading device security, performance, and user experience, while discouraging investment and innovation. We provide specific examples of ways in which this may occur.

We want to express our gratitude to Professor Toshiaki Takigawa (Professor Emeritus, Faculty of Law, Kansai University) for his significant contributions to the preparation of these comments.

II. Violation of Liberal Economic Principles by Discretionary Intervention of the JFTC in the Face of Active Competition in the Smartphone Ecosystem—SSCPA General

The SSCPA broadly deems actions that are generally not recognized as illegal for private companies, or actions that should only be judged for illegality following the Antimonopoly Act, as inherently unlawful, which is contrary to the principles of a liberal economy. Excessive intervention in corporate actions undermines innovation and reduces consumer benefits. These Guidelines, regarding regulated actions related to, for instance, data usage, firstly list several specific actions like those that are recognized as illegal. However, many of these listed actions do not inherently possess unfairness. The Guidelines do not explain the reasons for deeming the listed actions as unfair.

Secondly, for example, as stated by the Guidelines, “The specific examples are merely illustrative, and the application of Article 5 of the SSCPA is not hindered concerning data not illustrated below,” the presented examples are not exhaustive, so the Guidelines do not serve to narrow the discretion of the Fair Trade Commission (hereafter, “the JFTC”) and relevant government agencies, which enforce the SSCPA.

The SSCPA legitimized its adoption of ex ante rules (namely, per-se illegal rules) for the lack of a competition mechanism in the smartphone ecosystems. This assertion is based on the Japanese governmental study report—the Final Report on the Competition Assessment of the Mobile Ecosystems (16 June 2023), which highlighted the network effect and scale merit of the digital platform markets. However, the network effect and scale merit have their limits, so the smartphone ecosystem is not a monopoly but an oligopoly, with vigorous competition between Apple and Google. Both companies have prepared applications that simplify the process of transferring data between their platforms, enabling users to switch seamlessly between iPhone and Android devices.

iOS and Android continuously innovate to differentiate themselves, with Apple prioritizing seamless integration and security, while Android offers openness and customization. This rivalry has led to significant advancements in user experience, security, and app-ecosystem development.

Moreover, as an important recent phenomenon, the rapid development of generative AI has ushered in a new competition in the smartphone ecosystem. For instance, see Richard Waters, “Apple faces the most disruptive threat it has seen in the iPhone era”, Financial Times (1 March 2024) (stating that OpenAI, the operator of ChatGPT, announced a plan for a “GPT store” — a place for developers to sell AI-powered services built on top of OpenAI’s models, which pose challenge to app stores).

III. Discretionary Interpretation Not Based on the Antimonopoly Act Regarding Unfair or Unjust Discrimination—SSCPA Articles 6, 9, and Other Sections

The Guidelines does not reduce the flaws that the SSCPA automatically deems illegal the types of conduct whose illegality should be determined comprehensively under the Antimonopoly Act, nor does the Guidelines reduce the flaws in the SSCPA that the JFTC have discretionary powers to determine whether conduct is fair or unjustly discriminatory without being subject to the provisions of the Antimonopoly Act. In particular, the Guidelines’ statement that “unfair discriminatory or other unfair treatment violates the provisions of Article 6 of the Act [SSCPA]” (Guidelines, hereinafter “GL”, p. 12) merely repeats the provisions of Article 6 of the SSCPA. For the JFTC to arbitrarily determine unfair or unjustly discriminatory conduct without being subject to the Antimonopoly Act and to intervene in corporate conduct would shake the foundations of a free economy.

In addition to Article 6, the SSCPA and its Guidelines also contain provisions prohibiting unfair or discriminatory practices. Notably, Article 9 of the SSCPA specifically outlines “prohibited acts of a designated business operator [Google] in relation to search engines.” The Guidelines state that “if the search algorithm standards themselves are unfair or discriminatory and are designed to favor the products or services of a designated business operator, etc., the settings themselves will be deemed to provide preferential treatment to the products or services of the designated business operator, etc. [and consequently violate Article 9]” (GL, p. 70).

However, it is crucial to recognize that Google’s search display should not be evaluated solely based on the ambiguous discretionary standards of “unfair or discriminatory” or “providing preferential treatment.” Instead, it should be assessed under the framework of the Antimonopoly Act.

Google’s search display has already been subject to regulation under the competition and antitrust laws of both the European Union and the United States. In the EU, the General Court upheld the European Commission’s decision in the “Google Search (Google Shopping)” case, Case T-612/17 Google and Alphabet v Commission (Google Shopping) (10 Nov. 2021), finding that Google violated the law. Conversely, in the US, the Federal Trade Commission essentially acquiesced in Google’s actions, asserting the importance of respecting the autonomy of the company implementing the act, which can be interpreted in various ways. See the FTC File Number 111-0163 (3 Jan. 2013).

Currently, Google’s dominant position in the online search market is being challenged by the emergence of generative AI. An Apple service executive has indicated that Apple is contemplating entrusting search functionality in Safari on iPhones and iPads to generative AI startups such as Perplexity rather than Google. See the Financial Times article titled “Alphabet shares slide as Apple seeks AI alternatives to Google search,” published on 8 May 2025. The implementation of stringent ex ante regulation by the SSCPA and the Guidelines on the online search industry, which is currently experiencing intense competition, poses a significant risk to innovation.

Moreover, Apple imposes various restrictions on app providers in order to ensure the integrity of the iPhone’s technology, operability, and user convenience. The Guidelines state that “the criteria for review from the perspective of ensuring uniformity are not deemed to be problem-free in the light of Article 6 of the SSCPA without limit, but rather their validity will be considered in light of the SSCPA’s purpose of promoting competition among basic operating software and app stores, including the improvement of quality” (GL, p. 12). “In light of the Law’s purpose of promoting competition” is a standard that is biased toward protecting app providers and does not consider consumer interests, resulting in excessive intervention. Ensuring the uniformity of the iPhone’s technology and operability is extremely important in order to ensure the quality of the iPhone and its convenience for users, and for the JFTC to intervene in the technical details of the iPhone from the outside falls into the pitfall of “micromanagement”, harming the convenience of iPhone users.

IV. Price Control of Fees—SSCPA Articles 7, 8, and Other Sections

The Guidelines clarify that SSCPA Article 7 (prohibited acts of designated businesses related to basic operating software), Item 1 (prohibition of hindering the provision of alternative app stores, etc.) includes restrictions on the level of fees that Apple can impose on app providers. Namely, “imposing an excessive financial burden on other businesses” (GL, p. 21), “considering whether the level is such that an efficient business can continue its business…considering the level of financial burden, such as fees, required by designated businesses when using alternative app stores” (GL, p. 22), “imposing an excessive financial burden” (GL, p. 22). The Guidelines also provide similar explanations for several articles other than SSCPA Article 7.

Governmental authorities’ intervention in the prices that private businesses set for their products and services, by forcing businesses to set specific prices, constitutes “price control”, which economists unanimously have condemned as having a major negative impact on the free economy. The reasons given in the Guidelines for price regulation – “excessive financial burden” or “level at which business can continue” – are criteria that lack objectivity and do not address the criticism of price controls. For the JFTC to conduct price regulation on such arbitrary standards amounts to transforming the JFTC into a rate-setting regulatory agency,

Indeed, a self-interested business user will always argue that the current level of fees is excessive. This exercise naturally stops wherever the most cost-conscious business users want it to stop, potentially even reaching zero. A zero-commission mandate, however, would enable free riding on the targeted companies’ substantial investments in building and maintaining their operating system, encourage free riding, and undermine competition in the long term by punishing innovation and investment while rewarding reactivity and rent-seeking. But even if the commission is set above zero, the JFTC has no way of knowing what the “right” commission is, simply because nobody knows what the “right” commission is. The risk of such price controls is twofold. First, they will need to be revised on a continuous basis to cater to the demands and complaints of both parties, which will require not only economic omniscience from the JFTC but also substantial resources. The decision is ultimately as likely to be guided by what is politically palatable as what is economically “optimal.” The JFTC is ill-equipped for such kingmaking and market micromanagement. To recoup their losses, incumbents are likely to introduce other fees, which will make someone in the ecosystem worse off. For example, Apple might start charging all app developers every time their app is downloaded from the App Store, etc.

V. Price Prohibition of Use of Data Acquired by Apple—Article 5 of the SSCPA

Article 5 of the SSCPA generally prohibits Apple from using data acquired from app providers in the course of operating the iPhone. Although the title of Article 5 states “prohibition of improper use of data,” the text of Article 5 generally prohibits the use of data acquired by Apple from app providers in connection with the provision of iOS, etc., thus not being limited to “improper use.” Although the Guidelines list several types of data such as those whose use is prohibited, this is not a limited list. Namely, “the specific examples of data are merely examples, and do not prevent the application of the provisions of Article 5 of the Law to data not listed below.” (GL, p. 5).

It is common for private companies to use data acquired from business partners in their business activities, as long as it does not violate intellectual property rights laws and other laws, so that data use is not an act that should generally be prohibited. Even if restrictions should be imposed on data use, the scope of the prohibitions should be limited and listed in the Guidelines. The open-endedness of the list contemplated in Article 5 gives little certainty to the covered companies of whether their data collecting practices comply with the SSCPA, thus potentially chilling pro-competitive conduct that could improve products and benefit consumers.

VI. Price Restrictions on Apple’s Review of Alternative App Stores—SSCPA Article 7, Paragraph 1

SSCPA Article 7, paragraph 1 prohibits Apple from prohibiting the establishment of alternative app stores to the iPhone’s App Store, and prohibits Apple from “hindering” app store operators or users from using the alternative app stores.

Since the permission to open alternative app stores is required by SSCPA Article 7, paragraph 1, Apple has no choice but to allow them. However, it is extremely important for Apple to review alternative app stores in order to protect user safety and maintain the performance of the iPhone.

However, the Guidelines explain that Apple’s review violates SSCPA Article 7, paragraph 1 by “imposing unreasonable technical restrictions or contractual conditions on other operators while allowing the provision or use of alternative app stores” as a “hindering” act (GL, p. 21).  “Unreasonable” is a discretionary standard that has no limitations. Similarly, the Guidelines state that “For the actions of a designated business operator [Apple and Google] to be deemed as actions that hinder the provision or use of alternative app stores, it is not necessary that the provision or use of alternative app stores is completely impossible. Rather, the applicability of the actions as actions that hinder the provision or use of alternative app stores shall be determined based on the degree of likelihood of such an outcome” (GL, p. 21). Like “unreasonable,” “likelihood of the outcome” is an unobjective standard, allowing the JFTC to restrict Apple’s screening criteria at their discretion.

In order to protect the safety and performance of the iPhone, it is necessary for Apple’s engineers and experts who are familiar with the details of the iPhone to screen alternative app stores. Allowing the JFTC, which is a novice when it comes to iPhones, or external engineers commissioned by the JFTC to intervene at their discretion would undermine the safety and performance of the iPhone and harm the interests of iPhone users. The Guidelines should specify more specific and limited reasons for the cases in which the JFTC can intervene in Apple’s screening, rather than vague criteria such as “unreasonable.” Short of regulating exactly how Apple should run its business and design its products, the GL should establish clear standards of reasonableness and likelihood for interventions by the JFTC.

VII. Infringement of Intellectual-Property Rights, Security Risks, and Reduced Consumer Benefits Caused by the Obligation to Open Up OS functions, Forcing Interoperability—SSCPA Article 7, Paragraph 2

SSCPA Article 7, Paragraph 2 stipulates that Apple must enable third-party companies to access iOS, the iPhone’s basic OS, under the same conditions as Apple, resulting in forcing interoperability on Apple. The Guidelines explain the purpose of this as “promoting competition in individual software by prohibiting acts that prevent other businesses from using OS functions to provide individual software with the same performance as that of the designated enterprises [Apple and Google]” (GL, p. 34).

However, iOS is equipped with Apple’s intellectual property rights. Intellectual property rights are rights recognized in intellectual property laws, such as the Patent Act, from the perspective of promoting innovation. Forcing Apple to offer third-party companies access to iOS, which is equipped with intellectual property rights, under the same conditions as Apple is contrary to the purpose of intellectual property laws, which are aimed at promoting innovation. The view of the Guidelines that opening up one’s intellectual property to third-party companies, including competitors, “promotes competition” amounts to denying the purpose of intellectual property rights, leading to innovation degradation in the long term, thereby harming economic development and consumer benefits.

Not only that, opening up iOS, with the result of forced interoperability, poses a high risk of causing unexpected harm to iPhone users. For example, third-party companies will be able to access the camera function of iPhone iOS on an equal footing with Apple, which could lead to third-party companies using the iPhone camera to spy on users.

Moreover, forced interoperability poses a serious detrimental impact on device reliability and performance. This is evidenced by the Microsoft/CrowdStrike outage that kept airlines, hospitals, banks, and other businesses down for hours in July 2024. See Josephine Wolff, professor at Tufts and author of ‘Cyberinsurance Policy’, “Software crash exposes tensions between security and competition” (warning against giving software companies that kind of access to an operating system), Financial Times, 29 July 2024.

Furthermore, as a countermeasure to Article 7, Paragraph 2 of the SSCPA and its Guidelines, which force Apple to offer to third-party companies access to iOS under the same conditions as Apple, Apple might postpone the adoption of new functions such as Apple Intelligence in Japan only, resulting in reducing the benefits for iPhone users in Japan. This is exactly what happened in the EU due to uncertainties surrounding the Digital Markets Act and the AI Act.

VIII. Micromanagement of Smartphone Design and Specifications Through External Intervention—SSCPA Articles 7, 8, and 12

The iPhone’s design and specifications are based on Apple’s “end-to-end” (consistent management of hardware and software) philosophy, and are optimized down to the smallest detail by Apple’s engineers. In this regard, the JFTC should avoid unnecessary intervention. Based on the SSCPA, external engineers, commissioned by the JFTC, will intervene and make changes to the specifications designed by Apple’s engineers, who are familiar with the iPhone. This will have an unexpected negative impact not only on security but also on the performance, operability, and user convenience of the iPhone, falling into the pitfall of “micromanagement.” (For information on Apple’s defense based on security, see Section 11 [Justified Defense] below.)

From this perspective, the SSCPA and the Guidelines have shortcomings in that they allow the JFTC to significantly intervene at its discretion. Intervention in smartphone design and specifications by the JFTC or external engineering groups commissioned by the JFTC should be extremely restrained.

Moreover, these Guidelines apparently have been made without consulting Apple and Google, who have specialized, detailed knowledge regarding smartphone engineering and design. For the JFTC (together with relevant agencies) to intervene in the details of smartphone design is a reckless act, putting smartphone users at a serious risk.

IX. Restrictions on Apple’s Screening of Alternative-Payment Features—SSCPA Article 8, Paragraph 1

SSCPA Article 8, paragraph 1 stipulates that Apple must not prevent third-party companies from establishing alternative payment methods outside of Apple’s App Store. Since the SSCPA requires that alternative payment methods be approved, Apple must screen each alternative payment method for user security.

In the case of payments inside the App Store, iPhone users do not provide personal information, such as credit card information, to individual app providers. However, in the case of alternative payment methods, users must provide credit card information and other information to individual app providers. For this reason, the alternative payment method itself weakens user security. Under this premise, Apple is forced to conduct as much screening as possible to maintain security.

However, the screening conducted by Apple is subject to regulation by the JFTC as an act that “hinders” the implementation of alternative payment methods (SSCPA Article 8, paragraph 1, subsection b). The Guidelines explain that “actions that are likely to make the use of alternative payment management services difficult” and “imposing contractual conditions on individual app providers” are acts that hinder the use of alternative payment services (GL, p. 47). For monetary payments from app providers in exchange for Apple’s screening, see Section 3 [Price Control of Fees] above.

The Guidelines’ criteria for “highly likely to make use difficult” and “unreasonable” are unobjective and allow the JFTC to broadly regulate Apple at its discretion. If user information, including credit card information, is leaked, it can be misused for online fraud. Sophisticated online fraud equipped with generative AI is astronomically on the rise. From this perspective, Apple’s screening of alternative payment methods is required to be quite strict. The Guidelines should therefore clearly state that Apple’s screening will be respected and that regulatory restrictions will be kept to a minimum.

X. Restrictions on Apple’s Review of Link-Outs—SSCPA Article 8, Paragraph 2

The act of placing a link that directs users from within an app or website to an external page (link-out) typically refers to the case where a browser is launched and an external webpage is displayed when a button or link within the app is tapped. Before the SSCPA came into force, general apps could not freely place external links in the iPhone App Store in Japan, and certain conditions had to be met.

Link-outs pose a high risk of directing iPhone users to problematic sites. Users are directed to cyber fraud sites, pornographic sites, and gambling sites. Cyber ??fraud is rapidly increasing, and Japanese people in particular are suffering huge losses. Given that the Japanese population is rapidly aging and the mental acuity of seniors deteriorates, preventing cyber fraud is extremely important, particularly in Japan. For this reason, it is essential that Apple imposes restrictions on link-outs after the SSCPA comes into force. For example, by limiting destinations to sites operated by the app provider in question.

However, SSCPA Article 8, paragraph 2 restricts Apple’s restrictions on link-outs. Namely, restrictions placed on link-outs by Apple are regulated as “hindering” acts under Article 8, paragraph 2, subsection (b) of the SSCPA. The Guidelines refer to link-outs as “external redirection information” and explain that Apple must not hinder “links that transition from the individual software to web pages outside the individual software” (GL, p. 53).

Acts by Apple, which are “highly likely to make link-outs difficult,” and “to impose unreasonable technical restrictions or contractual conditions on individual app providers, imposing excessive financial burdens on individual app providers, and guiding smartphone users not to receive products or services through related web pages, etc.” are considered to be “hindering” acts (GL, p. 55). The Guidelines give numerous examples as hypothetical cases (GL, pp. 56-57). “Highly likely to make difficult” and “unreasonable” are descriptions that allow broad discretion to the JFTC.

Apple has a direct interest in ensuring a high level of security and privacy, given that its reputation is tied to the overall perception users have of the iPhone, and even if harm occurs through a third party, it still occurs on an iPhone. The Guidelines must establish where the boundary lies between a legitimate warning and an undue obstacle to third-party payments. Surely competitors would prefer no friction at all, but that friction, which could be construed as an obstacle ‚ might be justified on account of the risks involved.

For instance, a screen warning users that they are about to leave Apple’s secure system, or that Apple is not responsible for any privacy or security issues that arise from the use of third-party payments and link-outs, should not be considered to make the use of alternative payment systems “difficult”. It also should be acceptable for Apple to limit the language third-party payment systems that can be used in advertising to users, such as through hyperbole or outright deception.

Because link-outs are inherently an act that is likely to expose users to risk, the JFTC should allow Apple to conduct strict screening. The Guidelines should avoid using discretionary language and provide a more limited explanation of the act of “hindering.” Furthermore, it is necessary to consult with Apple, which is familiar with smartphones, to review the examples listed in the Guidelines to see whether all of these examples are appropriate as prohibited actions.

XI. Restrictions on Apple’s Review of Alternative Browser Engines—SSCPA Article 8, Paragraph 3

Enabling iPhone users to download apps from the browser and access sites outside of the iPhone may seem convenient at first glance, but it exposes users to various risks. For this reason, Apple allows users to choose alternative browsers other than the default Safari, such as Chrome, but requires Google and other companies to use Apple’s designated browser engine (WebKit).

The SSCPA opposes this setting by Apple and prohibits (under Article 8, paragraph 3) Apple from “hindering alternative browsers from being components of the individual software,” including the designation of Apple’s designated browser engine. Since the designation of a browser engine itself is prohibited by the SSCPA, Apple will protect user security by restricting the specifications of alternative browsers. However, under the “hindering” provision under Article 8, paragraph 3, subsection (b) of the SSCPA, the JFTC will restrict the alternative browser restriction measures adopted by Apple to ensure user security.

The Guidelines explain that this “hindering” behavior includes “actions that are likely to make it difficult to adopt an alternative browser engine for the individual software” and “imposing unreasonable technical restrictions or contractual conditions” (GL, p. 62). Criteria such as “highly likely to make it difficult” and “unreasonable” lack objectivity, allowing the JFTC broad discretion. Apple’s restrictions on the specifications of alternative browsers are essential to protect the security of iPhone users. JFTC ‘s discretionary intervention in Apple’s measures puts user security at risk. The Guidelines should not be based on criteria that lack objectivity, but should give the JFTC more limited authority.

Furthermore, the Guidelines provide detailed explanations of seven cases of “hindering” behavior as “assumed examples,” and then list spanning over two pages “legitimate examples.” This forms an extremely minute intervention in Apple’s operation, where smartphone experts gather, falls into the pitfall of “micromanagement.” It is best to avoid endorsing such detailed intervention in the Guidelines.

XII. The JFTC Has too Much Discretion in Justification Defense, and Maintaining Smartphone Performance Is Not Included in Justification Reasons—SSCPA Articles 7 and 8

Articles 7 and 8 of the SSCPA provide that prohibited acts are exempt from prohibition when “acts necessary for ensuring cybersecurity, etc., are performed and it is difficult to achieve that purpose through other acts.” The Guidelines list justification spanning five pages (GL, pp. 25-29).

However, justification cases are not limited to these hypothetical cases. Apple, which manages and operates the iPhone, will likely bring up various measures necessary to ensure security, etc. The Guidelines state that “the following specific examples are merely illustrative, and whether or not justification is recognized requires individual and specific consideration” (GL, p. 25) and that “it is limited to the extent necessary in light of the purpose” (GL, p. 42), thus allowing the JFTC great discretion. However, the iPhone has made protecting the security of its users its most important principle from the beginning of its launch, and this principle has been supported by iPhone users. Regulators are required to respect measures taken by Apple to ensure security as justification.

Furthermore, it is necessary to interpret “security, etc.” as including the purpose of maintaining smartphones’ performance, operability, and user convenience. For reference, under the EU Digital Markets Act (DMA) provisions and its implementation by the European Commission, Apple is permitted to take measures to maintain the “technical integrity” of iOS, etc. – CASE DMA.100203 – Apple – Operating systems – iOS – Article 6(7) – SP -Features for Connected Physical Devices (19/09/2024), Para (9).

In this regard, the Guidelines state, “prevention of abnormal smartphone operation” and “measures to prevent smartphones from stopping functioning” (GL, p. 25) as justification examples. This statement indicates that the Guidelines regard maintaining smartphone performance, operability, and user convenience as not a justification, except in extreme situations such as a stoppage of functioning. It is required to accept measures taken by Apple to maintain the performance, operability, and user convenience of iPhones as justification measures in general, not just in extreme cases.

XIII. Restrictions on Apple’s Review of Default Changes—SSCPA Article 12

SSCPA Article 12 requires Apple to take “necessary measures to enable users to change the default settings with simple operations.” However, since default changes impact iPhone’s design, they may affect the security, operability, and functionality of the entire iPhone, not just the parts that are changed.

In the case of PCs, users who change the default settings are familiar with PCs and change the defaults, aware of their risks. In contrast, many iPhone users, including school-age children, cannot imagine the adverse effects that default changes will have on the security, function, operability, and user convenience of the iPhone. Users will be tempted by solicitations from vendors and others to make default changes that harm their interests.

Unlike Articles 7 and 8, SSCPA Article 12 is positioned as a “mandatory provision” and does not allow Apple to use a justification defense. However, the “necessary measures” in Article 12 are an expression that allows room for interpretation as to what extent Apple must take to be considered to have taken the “necessary measures.”

The Guidelines explain that “standard settings related to the basic operating software” in SSCPA Article 12, item 1, subparagraph (a) means “settings that launch a specific browser under the control of the basic operating software and display the linked web page” (GL, p. 87). On current iPhones, the browser that launches from the “basic operating software” (iOS), the default browser, is Safari. Apple is required by SSCPA, Article 12, item 1, subparagraph (a) to take “measures necessary to enable smartphone users to change the standard settings with simple operations.”

The Guidelines specifically state that “necessary measures” include “creating categories in the smartphone settings app that consolidate and display individual software that is the target of the standard settings, and making it possible to centrally change the standard settings from those categories” (GL, p. 88). This means, for example, that when an iPhone user boots up the iPhone for the first time, a browser “selection screen” should be displayed, allowing users to choose between Safari, Chrome, Firefox, etc.

However, on current iPhones, although users can select Chrome and other browsers and make them the defaults, Safari is set as the initial default because it is integrated with iOS and functions smoothly, so Safari is given priority. If users select a browser other than Safari without knowing this fact, they will experience unexpected inconvenience. Therefore, Apple should be allowed to take other measures rather than making it mandatory to display the “selection screen.” Even if it becomes mandatory to display the “selection screen,” Apple should be allowed to display Safari first.

Moreover, the Guidelines stipulate that Apple should provide a selection screen similar to that for browsers regarding Apple’s default apps, like Apple Calendar and Apple Maps (GL, pp. 89-90). However, just as with Safari, Apple Calendar, and Apple Maps are the default apps on iPhones because they are integrated with iOS and function smoothly. If iPhone users select apps other than Apple’s, unaware of this fact, they will experience unexpected inconvenience. Furthermore, even with current iPhones, users can download from the App Store, for example, Google Maps or Google Calendar. Therefore, the JFTC should avoid requiring Apple to display a “selection screen”, allowing Apple to take alternative measures. Furthermore, even if the JFTC requires Apple to display a “selection screen,” the JFTC should allow Apple to display Apple Calendar or Apple Maps at the top.

Regulatory Comments

Perspectives on Industrial Policy: An Interview with Reiko Aoki

This post features a Truth on the Market interview with Reiko Aoki, a commissioner of the Japan Fair Trade Commission (JFTC), president of the Japan Economic Association, and a former executive vice president at Kyushu University. She has researched the economics of patents, patent pools, standards, innovation, and intergenerational political economy. She has also been actively involved in science, technology, and innovation policy as an executive member of the Japanese Cabinet Office’s Council for Science and Technology Policy from 2009 to 2014. This discussion only reflects Aoki’s personal views, and are not necessarily those of the JFTC.

Read the full piece here.

TOTM

Opinion on Japan’s Smartphone Law Cabinet Order and Rules

The Japanese-language version of these comments is available here

I. Introduction

We appreciate the opportunity to provide comments on the Draft Cabinet Order and Draft Enforcement Rules prepared by the Japan Fair Trade Commission (“JFTC”) under the Act on the Promotion of Competition Regarding Specific Software Used on Smartphones (“Smartphone Act” or “Act”). The International Center for Law & Economics (ICLE) is a nonprofit, nonpartisan global research and policy center founded with the goal of building the intellectual foundations for sensible, economically grounded policy. ICLE promotes the use of law & economics methodologies to inform public-policy debates and has longstanding expertise in the evaluation of competition law and policy. ICLE’s interest is to ensure that competition law remains grounded in clear rules, established precedent, a record of evidence, and sound economic analysis.

Our comments focus on three critical areas: (1) the fundamental differences among the covered services, (2) the arbitrary nature of the 40 million user threshold, and (3) the disproportionate focus on online markets compared to traditional sectors.

While the regulation intends to enhance competition, the JFTC should be cautious about how the rigid designation criteria in the Smartphone Act might stifle it. For example, the decision to set a hard threshold for gatekeeper designation may appear straightforward, but risks capturing entities without significant market power or excluding those with substantial influence in different markets. Though this risk is likely lower with the thresholds being contemplated in Japan than with those applied in many other jurisdictions, including the EU, there is still a risk that a new product or service — such as e.g., a new browser or search engine — might be caught by the rules, especially given the broad definition of “active user” provided in the Smartphone Act. Similarly, applying uniform obligations across diverse services, such as basic operating software, app stores, browsers and search engines, overlooks critical differences and competitive dynamics specific to each product or service. Subjecting such variegated products and services to the same regulatory framework could lead to unintended consequences. Again, these risks appear lower in the case of Japan given the Smartphone Act’s comparative openness to justifications and its relatively narrow scope.

Still, the law seems to have been designed to catch two companies: Google and Apple. The fact that these two companies appear to have been deliberately singled out for regulation raises concerns about the rule of law, but also about the Smartphone Act’s economic rationale. By focusing on a portion of the economy that is generally outperforming the rest, the regulation disproportionately targets successful sectors without substantial evidence to suggest that competition problems are more severe in this sector than in others. In fact, evidence suggests that online markets are at least as competitive, if not more so, than many traditional industries.[1] Amongst other things, this is because “the internet makes available a variety of choices that traditional markets cannot match,” and consumers are able to switch between these sellers with minimal effort.[2] It is also not clear why, if the JFTC wants to address anticompetitive conduct in app stores (rather than hold certain predetermined companies to a different standard) it has excluded other stores, such as app stores on video consoles, from the scope of the law. This lack of consistency frustrates the Act’s integrity.

This is not to say the Smartphone Act narrower scope—relative to comparable regulations in the EU and UK—is bad, quite the opposite. Indeed, if the smaller number of firms to which the regulation applies reflects and signals a desire to regulate only services that genuinely possess “entrenched” market power (assuming that this cannot be adequately addressed with existing competition laws — which is in our opinion far from certain), then this may be reasonable regulatory policy. If, on the other hand, the small number of target firms stems from a desire to single out the most politically expedient target, then it is a worrying sign of things to come. The upshot is that, taken in isolation, key decisions pertaining to the Smartphone Act are not inherently positive or negative. Instead, their true breadth and motivations will only become clear in light of subsequent enforcement.

Below, we provide more detailed comments on the designation criteria under the Smartphone Act.

II. Fundamental Differences Among Covered Services

The Draft Cabinet Order, issued under the Smartphone Act, establishes a uniform threshold of 40 million monthly active users to designate gatekeepers. Services that meet or exceed this threshold are subjected to the same regulatory obligations. However, if applied too mechanically, this uniform approach may overlook the distinct competitive dynamics between these services. Indeed, as we have written elsewhere, “even when two ‘gatekeepers’ are active in the same core platform service (“CPS”), they often have markedly different business models and practices. Thus, despite both selling mobile-phone operating systems, Android (Google) and Apple employ nearly opposite product-design philosophies.”[3] Furthermore, “while Google (Alphabet) and Facebook (Meta) are information-technology firms that specialize in online advertising, Apple remains primarily an electronics company.”[4] These differences highlight that treating differentiated services as homogenous and applying uniform obligations to them could result in unintended consequences.

Similar usage numbers may, indeed, conceal heterogeneous market realities. Some of these markets have market leaders with a significant market share and few competitors; some are more fragmented and have more competitors with more evenly distributed market shares. Some of them have strong network effects, and some have milder network effects. Some of them rely on extremely specific user data in order to deliver a valuable service (targeted advertising), while others can work with more general data. Some are open (Android), and some are relatively closed (Apple). In other words, the number of users on a platform may provide a useful first screen for market power—and 40 million users out of Japan’s roughly 124 million population is certainly not a small number—but it is not dispositive.

Because of these differences, applying the same regulatory obligations across operating systems, app stores, browsers, and search engines risks (i) overregulating competitive sectors and (ii) fostering unintended consequences. To cite one example, preventing platforms from banning competing browsers presents both these risks. To our knowledge, no provider of operating systems or app stores currently bans competing browsers on their platforms. On Apple’s iOS, for instance, it is easy to download Chrome, Bing or Opera to use in addition to the native Safari browser. Still, under the Smartphone Act, Apple would have to send compliance reports in connection with this conduct. Worse, the regulation may open the door to malicious players that are currently kept out of the market because of the fear of being excluded from today’s leading platforms. In other cases, the rules could have unintended consequences, because they are overly broad,  even where more surgical competition may have been warranted. As Lazar Radic has pointed out:

There are a range of risks and possible unintended consequences associated with the DMA, such as the privacy dangers of sideloading and interoperability mandates; worsening product quality as a result of blanket bans on self-preferencing; decreased innovation; obstruction of the rule of law; and double and even triple jeopardy because of the overlaps between the DMA and EU competition rules.[5]

All of these risks underscore the need for a more nuanced approach to gatekeeper regulation. And while Japan has clearly made the choice to replace or, at least, supplement competition intervention in certain digital markets, this does not mean that evidence-based principles from the field of competition enforcement should not influence how digital competition regulations are applied.

III. User Thresholds Versus Market Power Filter

The Smartphone Act relies on a 40 million user threshold that is something of a double-edged sword. On the one hand, the simplicity and predictability of the numerical threshold may simplify administration of the law. The significant number of users (relative to other digital competition regulations) required to cross the threshold also ensures that it will not be extremely overinclusive and essentially make all smartphone-adjacent services fall under the Smartphone Act. On the other hand, however, even high user thresholds are anything but a perfect proxy for actual market power. Absent careful and evidence-based enforcement, the threshold thus risks misidentifying firms that face significant competition as “gatekeepers.”

The first issue is that the threshold does not account for the context in which firms operate. Firms with 40 million users might not possess significant market power, particularly in fragmented markets like browsers, where consumers can easily switch between alternatives and multi-home. On the other hand, dominant players in smaller, niche markets might evade scrutiny despite having substantial control over their respective markets. These dynamics highlight that the number of users alone is not a reliable indicator of market power.

A second problem is that the threshold appears to have been crafted to specifically target two dominant firms: Google and Apple. While these companies undoubtedly hold significant positions in global markets, applied mechanically, the threshold may create a negative precedent for Japan’s competition regulation as it disproportionately burdens firms based on size rather than market power and behavior. This shows that “empirically grounded analysis of barriers to entry and actual anticompetitive effects must remain the cornerstones of sound antitrust policy”, in this case digital competition regulation.[6] In other words, a 40 million user threshold may be an appropriate first step, but only if the presumption it sets can effectively be rebutted by firms in cases where they do not possess actual market power.

With this in mind, there are several important factors that are ignored by a strict application of user thresholds and, ideally, need to be considered by the JFTC when applying the Smartphone Act. The reliance on a fixed user threshold ignores essential factors such as dependency (the extent to which consumers or businesses rely on a service), barriers to entry (the difficulty for competitors to enter the market), and competitive harm (whether a firm’s behavior adversely affects consumer welfare). For instance, a platform with 40 million users in a market with low barriers to entry may not pose significant risks to competition, while a smaller platform operating in a concentrated market could wield outsized influence. Moreover, using an absolute number of users as a threshold for determining which platforms are designated ignores the fact that consumers of digital platforms engage in “multi-homing” (i.e., using more than one provider of the same service at the same time), which significantly reduces switching costs and in turn reduces incentives to act in an anti-competitive manner[7].

In practice, this means that a 40 million user threshold will be a relatively good or poor proxy, depending on the market to which it is applied. For example, 40 million users on web search services might mean something entirely different than 40 million users on app stores, given switching costs, “stickiness,” and other factors. Additionally, defining an “active user” as someone who uses the basic operating software at least once a month during each month of the fiscal year is flawed as it does not analyze the economic significance of their activity. This less common frequency may instead indicate a casual or incidental use rather than regular reliance on the service, which undermines the justification for regulation based on user activity.

All of this explains why market shares, rather than firm size, have traditionally been used as a proxy for market power. Market shares accompanied by careful market definition simply offer more nuance than the sheer number of users. Of course, we understand that Japan’s legislature has made a choice to prioritize expediency over accuracy in the designation of gatekeeper. But this does not mean that the economic underpinnings of market definition must be entirely discarded. Giving firms a genuine opportunity to rebut the Act’s market share thresholds would bring a significant increase in precision at little expense to the predictability and expediency that the Act seeks to provide.

IV. Focus on Online Markets Is Misaligned

By design, the Smartphone Act disproportionately focuses on online markets and subjects them to stricter regulatory scrutiny, despite their record of economic dynamism and competitive vibrancy. Whether this will be for better or for worse, is not yet clear. But the JFTC can at least put chances on its side by embracing an evidence-based approach to digital competition enforcement. Failing to do so would risk not only stifling innovation but neglecting pressing competition concerns in traditional industries that may exhibit far more entrenched monopolistic behaviors.

To begin, online markets are among the most innovative and high-performing sectors of the economy.[8] They serve as engines of growth, continually introducing new technologies, products, and services that enhance consumer welfare. In contrast, traditional industries such as energy, transportation, and utilities often suffer from high barriers to entry and limited competition. This distinction underscores that focusing regulatory attention on thriving digital markets may divert resources away from areas where intervention is more urgently needed.

Moreover, the assumption that competition problems are more severe online lacks empirical support. Traditional sectors frequently exhibit stagnation, oligopolistic behaviors, and resistance to innovation, which result in inflated prices and limited consumer choices. By contrast, digital markets continually face challenges from new entrants and evolving consumer demands. The decision to disproportionately target online markets risks misallocating regulatory resources and undermining industries that are critical to economic growth, “whenever enforcement resources are limited, as they always are, it is important that they be spent in the right place. For antitrust policy, that would be markets and products that exhibit stagnant growth, stable market shares, lack of new entry, signs of oligopoly or widespread price fixing, or lack of innovation.”[9]

Additionally, the regulatory framework risks producing unintended consequences, as evidenced by the impact of similar laws in other jurisdictions. For instance, the Digital Markets Act (DMA) in Europe has delayed technological advancements, particularly in the rollout of innovative products, “in fact, there are indications that, where DMA-style regulations have been introduced, it has delayed the advance of technology. For example, Google’s Bard artificial intelligence (AI) was rolled out later in Europe due to the EU’s uncertain and strict AI and privacy regulations. Similarly, Meta’s Threads was not initially available in the EU, because of the constraints imposed by both the DMA and the EU’s data-privacy regulation (GDPR).”[10] Such delays harm consumers by depriving them of access and choice. Japan risks similar outcomes, particularly if compliance burdens deter local firms from scaling up or entering global markets. These risks may not be entirely eliminated by applying the Smartphone Act in an evidence-based manner, but they can at least be mitigated. The JFTC’s upcoming guidelines have their work cut out if they are to achieve this delicate balancing act.

V. Conclusion

We commend the JFTC’s efforts to address competition concerns in digital markets and to ensure fair practices in this rapidly evolving sector. However, the current proposals risk creating unintended consequences, including over-regulation, reduced innovation, and legal uncertainty. Without a more tailored approach, these measures may inadvertently harm the very markets they aim to improve.

First, we strongly encourage the JFTC to differentiate regulatory obligations based on the unique dynamics of each service type. Operating systems, app stores, browsers, and search engines operate within distinct competitive environments. A case-by-case analysis, rather than applying a uniform set of obligations, would better address anti-competitive behaviors while avoiding unnecessary burdens on services that are already competitive. The Japanese Fair Trade Act allows for sufficient flexibility to address these differences.

Second, the 40 million user threshold should be carefully applied in order to better capture the nuances of market power and competitive harm. A case-by-case analysis that considers dependency, barriers to entry, and consumer harm would provide a more accurate method for identifying gatekeepers, ensuring that regulatory efforts are proportionate and effective.

Finally, we urge the JFTC to carefully consider the implications and potential unintended consequences that may stem from its exclusive focus on the digital sector of the economy. Singling out online markets for stricter regulation assumes that competition issues are more severe in these markets, despite evidence to the contrary. Online markets are among the most dynamic and innovative parts of the economy, with relatively low barriers to entry and strong competition. Focusing regulation solely on these sectors risks stifling innovation, imposing unnecessary costs, and taking attention from traditional industries where entrenched monopolies and stagnant growth often require more urgent intervention. While these risks are inherent to the Smartphone Act (and to some extent accepted by its framers), they can be minimized by giving firms under investigation ample scope to provide economic evidence that rebuts the presumptions baked into the Smartphone Act.

[1] Robert Armstrong & Ethan Wu, What Big Tech Antitrust Gets Wrong: An Interview with Herbert Hovenkamp, Financial Times (Jan. 19, 2024), https://www.ft.com/content/4eec8bc3-c892-4704-ae66-a4432c6d4fd7.

[2] Herbert Hovenkamp, Gatekeeper Competition Policy, 30 Mich. L. Rev. 1, 6 (2024).

[3] Lazar Radic, Gatekeeping, the DMA, and the Future of Competition Regulation, Truth on the Market (Nov. 8, 2023), https://truthonthemarket.com/2023/11/08/gatekeeping-the-dma-and-the-future-of-competition-regulation.

[4] Id.

[5] Lazar Radic, Digital-Market Regulation: One Size Does Not Fit All, Truth on the Market (April 17, 2023), https://truthonthemarket.com/2023/04/17/digital-market-regulation-one-size-does-not-fit-all.

[6] Geoffrey A. Manne, Dirk Auer, Brian Albrecht, Eric Fruits, Daniel J. Gilman, & Lazar Radic, Comments of the International Center for Law and Economics on the FTC & DOJ Draft Merger Guidelines, ICLE (Sep. 18, 2023), https://laweconcenter.org/resources/comments-of-the-international-center-for-law-and-economics-on-the-ftc-doj-draft-merger-guidelines.

[7] Herbert Hovenkamp, Antitrust and Platform Monopoly, 130 Yale L. J. 1952, 1978 (2021).

[8]  Lazar Radic, Gatekeeping, the DMA, and the Future of Competition Regulation, Truth on the Market (Nov. 8, 2023), https://truthonthemarket.com/2023/11/08/gatekeeping-the-dma-and-the-future-of-competition-regulation.

[9] Hovenkamp, supra note 2.

[10] Lazar Radic & Mario A. Zúñiga, ICLE Comments to the Brazilian Ministry of Finance on Competition in Digital Markets, ICLE (May 2, 2024), https://laweconcenter.org/resources/icle-comments-to-the-brazilian-ministry-of-finance-on-competition-in-digital-markets.

The View from Japan: A TOTM Q&A with Sayako Takizawa

Our latest guest in Truth on the Market’s “Global Voices Forum” series is Sayako Takizawa, a professor at the University of Tokyo’s Graduate School of Law & Politics. We discuss Japan’s Smartphone Act, its Transparency Act, the Japan Fair Trade Commission’s approach to competition enforcement, and digital-platform regulation more broadly.

Read the full piece here.

TOTM

New Zealand

Comments of ICLE and the New Zealand Initiative on Promoting Competition in New Zealand

I. INTRODUCTION AND SUMMARY

This submission on the discussion document Promoting competition in New Zealand – A targeted review of the Commerce Act 1986 is made by The New Zealand Initiative (the Initiative), a Wellington-based think tank supported primarily by major New Zealand businesses, and the International Center for Law & Economics [ICLE].

The Initiative undertakes research that contributes to the development of sound public policies in New Zealand, and we advocate for the creation of a competitive, open and dynamic economy and a free, prosperous, fair and cohesive society.

The Initiative’s members span the breadth of the New Zealand economy. Our business members are subject to the Commerce Act. The views expressed in this submission are those of the author rather than the New Zealand Initiative’s members.

The International Center for Law & Economics is a US-based nonprofit, nonpartisan research center working with a roster of more than fifty academic affiliates and research centers from around the globe.

In summary, we submit that the Review targets secondary, procedural matters instead of the critical first?order barriers—namely, regulatory and policy?based constraints— that are the true impediments to a dynamic and competitive market in New Zealand.

Within the context of the matters addressed by the document, our comments can be summarised as follows:

  1. Regulatory or policy?based barriers to entry often create or exacerbate the very substantial lessening of competition (SLC) that the Act seeks to In such cases, rather than imposing extensive regulatory regimes that police market conduct or structure, easing entry barriers is likely to be a more effective solution. Accordingly, when the Commerce Commission identifies that an SLC is driven by a regulatory regime, it should be empowered to test whether those entry barriers can be relaxed before resorting to more intrusive interventions. There needs to be a regularised mechanism for the Commerce Commission to report to the responsible Agency or Ministry, or to the Ministry for Regulation, when it encounters an area where a perceived SLC is created or exacerbated by a regulatory regime. There is, to the best of our knowledge, no regular review process for these regulatory regimes testing whether the potential detrimental effects on competition are outweighed by the public benefit sought by the regime, or whether the restraint on competition remains the most cost-effective way of providing the desired benefit. When the Commerce Commission identifies regulatory regimes that might result in an SLC, either as part of a market study or as part of another review process, it should be able to request that the Ministry for Regulation review the relevant regime. Easing the regulatory barrier may be the best way of ensuring workably competitive markets. Ben Hamlin’s proposed modernisation of the Crown Exception would help.
  2. New Zealand is a small market and, in many cases, is a ‘regulation-taker’ – meaning that large international companies that also trade in New Zealand face many other regulators, who may or may not have already provided clearance for various mergers or arrangements. But aligning New Zealand’s regime with Australia’s is not the only way of achieving congruence and reducing transactions cost. If a merger is likely to trigger an ACCC test, and approval by both ACCC and the Commerce Commission would be necessary, New Zealand could defer to ACCC’s But for mergers between New Zealand companies with no Australian entanglements, there seems no obvious need for New Zealand’s framework to align with Australia’s. Instead, New Zealand should tailor its framework to local market conditions. This local tailoring ensures that mergers beneficial to NZ consumers are not blocked simply due to incongruency with foreign standards.
  3. A consumer?welfare focus is critical given that market structure is only an imperfect proxy for competitive harm. Merger control should focus on safeguarding competition and consumer welfare rather than achieving particular market And where the Commission may not have resource to pursue all potential SLCs, it should focus first on those that do most harm to consumer welfare.
  4. Without vigilant, ongoing review, industry codes or rules risk evolving into de facto coordination mechanisms that can further entrench existing market This is a particular worry for industries facing a common regulator that can serve as additional enforcement mechanism for anticompetitive conduct by blocking new entry.

II. THE UNADDRESSED FIRST-ORDER BARRIERS

Commerce Commission market studies have pointed to land use planning as an underlying barrier to competition.

In building material supply, covenants on the few sites zoned for large footprint retail hinder the entry of new competitors. This reinforces market concentration, as builders tend to favour the convenience of bundled deliveries—even if such convenience outweighs the potential cost savings of sourcing materials from alternative, lower cost suppliers. In effect, a new entrant with a competitive model may be blocked simply because zoned scarcity limits access to essential retail sites.

In retail grocery, zoning, consenting processes, and Overseas Investment Office processes make large-scale large-footprint entry impracticable.

While trade competitors are meant to avoid interfering in each other’s resource consenting processes, other anticompetitive uses of land-use planning processes remain available.

In November 2024, the Christchurch Press reported that Three Parks developer Willowridge had sought McDonald’s as a tenant while objecting to McDonald’s application to open at another location.[1] The Panel declined the consent in February 2025 on points relating to landscape and views. However, it also considered that “there is no issue of trade competition that applies such that Willowridge are precluded from having their submission received and considered”,[2] despite Willowridge materially benefitting if the consent were declined and McDonald’s took up tenancy at Three Parks instead.

A review of the Commerce Act could consider making anticompetitive uses of regulatory processes, including land use planning and consenting processes, a specifically forbidden restrictive trade practice under Part 2.

Other regulatory systems work to anticompetitive effect. Consider pharmacies. Restrictions on pharmacy ownership act as a barrier to entry. If that barrier has been hurdled, the pharmacy must acquire a licence to dispense funded prescriptions. In response to calls from the Community Pharmacists to block new pharmacies being opened within set distances of existing pharmacies, Medsafe and Te Whatu Ora pointed to existing rules that prioritise licences in places with few pharmacies.[3] In effect, Medsafe and Te Whatu Ora seemed to be telling community pharmacists not to worry too much, because existing regulatory practice already works as a substantial barrier to entry.

The Crown Exception to the Commerce Act (Section 43) might be read as broadly permitting activities authorised by legislation or might otherwise discourage prosecution of restrictive trade practice offences that are arguably authorised by a regulatory regime.

Ben Hamlin has suggested useful modernisations of the Crown Exception.[4] Under his proposed amendment, all regimes falling within the exception must be listed. Exceptions should be no wider than reasonably necessary to achieve the exception’s purpose. Ministers would be required to receive regular reports on whether each exception should be retained, repealed, or amended. And the Minister would be able to seek Commerce Commission input for those reports.

Alternatively, or additionally, Part 2 could provide a mechanism for the Commerce Commission to determine whether a regulatory regime creates an SLC that harms consumer welfare. Such an assessment—whether self-initiated by the Commission, triggered by an identified SLC, or incorporated into a broader market study—should, once completed, prompt a review by the Ministry for Regulation to assess whether the public benefit of the regulatory regime justifies its competitive restraint.

We are encouraged that the Commission has begun to turn its eye back to regulatory regimes. The Commission’s compliance advice to the Ophthalmologists College was welcome. However, more regular and ongoing attention to the anticompetitive effects of occupational licensing and other regulatory regimes is necessary in a small market.

We consequently urge that the review of the Commerce Act consider modernisation of the Crown Exception, designating anticompetitive use of regulatory regimes to be a restrictive trade practice, and setting provision for the Commission to assess whether a regulatory regime results in a substantial lessening of competition.

III. BECAUSE YOU ASKED…

We now turn to some of the questions posed in the discussion document.

Q1. What are your views on the effectiveness of the current merger regime in the Commerce Act? Please provide reasons.

The current regime shows strengths in its flexibility and voluntary clearance process; however, it suffers from significant shortcomings. In practice, overly rigid thresholds and an SLC (substantial lessening of competition) test that sometimes captures low value or efficiency–driven transactions—such as the blocked sale of a small DJ software company—can stifle innovation and discourage venture capital investment. This is particularly damaging in a small economy like New Zealand, where viable exit strategies- are crucial for startup growth.

Q2. What is the likely impact of the Commission blocking a merger (either historically or if the test is strengthened) on consumers in New Zealand? Please provide examples or reasons.

Blocking mergers that deliver efficiencies or cause no plausible consumer harm can lead to higher costs, reduced innovation, and uncertainty for investors. For instance, if a merger involving a small local tech firm is blocked solely because of formalistic criteria (despite negligible local turnover and a lack of competitive harm), it may deter venture capital funding and limit the exit opportunities that drive innovation and consumer benefits.

Q4. Should the ‘substantial lessening of competition’ test be amended or clarified, including for creeping acquisitions or entrenchment of market power? If so, how? Please provide reasons.

Yes. We recommend that the SLC test be amended to:

  • Explicitly incorporate a consumer?welfare analysis: The test should require an assessment of whether the merger causes plausible harm (or, conversely, provides benefits) to consumers.
  • Tailor aggregation for creeping acquisitions and consider regulatory alternatives: In sectors where zoning, consenting rules, or other regulatory constraints create de facto local monopolies, serial acquisitions may have a more significant competitive impact because the larger entity may have less fear of However, in such cases, the Commission’s first response should be to warn the relevant regulatory authority that the regulatory regime risks creating an SLC and should be reviewed.
  • Clarify “entrenchment” of market power: Amendments should require objective evidence that the merger would strengthen or entrench market power in a manner that harms consumer welfare. It is also not clear what “entrenchment of market power” would mean in this If it means leveraging a firm’s current position to enter new markets, merger control should not, as a matter of principle, seek to prevent incumbents from entering adjacent markets.

These changes would help ensure that only mergers with a genuine risk of harming competition are subject to intervention, and that intervention is appropriately targeted.

Large firms moving into the core business of competitors from adjacent markets often represents the biggest source of competition for incumbents, as it is often precisely these firms who have the capacity to contest competitors’ dominance in their core businesses effectively. This scenario is prevalent in digital markets, where incumbents must enter multiple adjacent markets, most often by supplying highly differentiated products, complements, or “new combinations” of existing offerings.[5] Without concrete evidence of harm to consumers, improvements to a company’s position in a market — or in adjacent markets — should not in itself be enough to block a merger.

On the question of “serial acquisitions,” we understand that multiple small acquisitions can, under some circumstances, create a cumulative risk to competition, especially in highly concentrated markets. There remains the question of when this is likely to occur, however. While serial acquisitions and roll-up strategies merit further study, there is no apparent basis, in either the economic literature or enforcement experience, for any general changes to the procedures or substantive standards by which serial acquisitions are scrutinized.

For example, the Australian Treasury considered modifying notification so that “all mergers within the previous three years by the acquirer or the target will be aggregated for the purposes of assessing whether a merger meets the notification thresholds, irrespective of whether those mergers were themselves individually notifiable.”[6]

However, this will impose costs on both merging firms and the enforcers called on to scrutinize noticed acquisitions.[7] Moreover, bundling all mergers “by the acquirer or the target” across any moving three-year window will, in effect, greatly lower the threshold for those firms engaged in multiple acquisitions over time. Thus, while any single three- year period may be clear enough, a moving window may create unnecessary uncertainty for consummated transactions well after operations or assets have been knit together, such that there is no efficient way to “unscramble the eggs.”

More broadly, many of the activities described as “serial acquisitions” are indistinguishable from normal patterns of business growth and consolidation that occur in maturing industries. As a general matter, it is not clear why a company growing through multiple small acquisitions should be viewed differently than one growing “organically” or through fewer, larger acquisitions. This raises important questions about the underlying theory of harm. If the concern is market concentration, this can occur through various means, not just serial acquisitions. If the concern is about the specific process of multiple small acquisitions, it is unclear why this would be inherently more problematic than other forms of growth.

Recent research by Cohn, Hotchkiss, and Towery sheds light on the motivations behind roll-up strategies in private-equity buyouts of private firms.[8] Their study suggests that these strategies are often driven by two primary motives: unlocking growth potential in capital-constrained firms and improving operational performance in underperforming firms. They find that acquired firms often experience significant increases in sales growth and moderate improvements in profitability post-acquisition. Such findings support the view that these strategies can create value through both growth and operational improvements. They also suggest that properly executed roll-up strategies can serve legitimate business purposes beyond mere market consolidation.

Given the legitimate business reasons for acquisitions (serial or not), we are aware of no theoretical or empirical grounds on which to suppose that multiple acquisitions are typically anticompetitive. The competitive effects of growth—whether through acquisition or internal expansion—depend on various factors, including market structure, barriers to entry, and the specific capabilities and assets being acquired or developed. For example, in some cases, serial acquisitions might allow a firm to quickly assemble complementary assets and capabilities, leading to increased innovation and more robust competition. In other instances, organic growth might allow a firm to build market power in ways that are difficult for competitors to challenge.

To be clear, we do not suggest that there are no circumstances under which serial acquisitions raise competitive concerns. Rather, we believe that considerable work remains to be done if competition enforcers seek to tailor notice requirements in a manner that is efficient for both commercial development and enforcement alike.

Q5. How important is it for the ‘substantial lessening of competition’ test to be aligned with the merger test in Australian competition law? Please provide reasons and examples.

New Zealand’s regime need not mirror Australia exactly. However, avoiding regulatory incongruency is important for business certainty:

  • Local Context Matters: If two purely New Zealand companies can merge without harming NZ consumers—even if the deal would be blocked in Australia—the merger should be allowed.
  • Cross?Border Efficiency: Where one or both companies have significant Australian entanglements, ACCC clearance should serve as a strong indicator of competitive acceptability, thereby reducing duplicative regulatory costs.

It should also be noted that Australia is considering changes to its SLC test that are not without their downsides. New Zealand should not seek to replicate these flaws at home. More specifically, proposed merger reform in Australia would amplify the meaning of “substantially lessening competition” to include the creation, strengthening, or entrenching of market power. According to the original consultation: “(u)nder the current substantial lessening of competition test, it may be difficult to stop acquisitions that lead to a dominant firm extending their market power into related or adjacent markets.”

However, as pointed out in our response to Q5, merger control should not, as a matter of principle, seek to prevent incumbents from entering adjacent markets. Moreover, it is unclear why the SLC test in its current state is insufficient to curb the misuse of market power. The SLC test is a standard used by regulatory authorities to assess the legality of proposed mergers and acquisitions. Simply put, it examines whether a prospective merger is likely to substantially lessen competition in a given market, with the purpose of preventing mergers that increase prices, reduce output, limit consumer choice, or stifle innovation as a result of a decrease in competition.

The SLC test examines likely coordinated and non-coordinated effects in all three types of mergers: horizontal, vertical, and conglomerate. Horizontal mergers may substantially lessen competition by eliminating a significant competitive constraint on one or more firms, or by changing the nature of competition such that firms that had not previously coordinated their behaviour will be more likely to do so. Vertical and conglomerate mergers tend to pose less of a risk to competition.[9]

Still, there are facts and circumstances under which they can substantially lessen competition by, for example, foreclosing rivals from necessary inputs, supplies, or markets. These outcomes will often be associated with an increase in market power. As the OECD has written:

  • The focus of the SLC test lies predominantly on the impact of the merger on existing competitive constraints and on measuring market power post-merger.[10]
  • In other words, the SLC test already accounts for increases in market power that are capable and likely of harming competition.

The problem with the Australian proposed amendments to the SLC test is that they could be interpreted so broadly that any incremental increase in the market share of a company that already holds some degree of market power would “substantially lessen competition.” This is misguided, and could capture swathes of procompetitive conduct. Indeed, there are many mergers that would—if permitted—benefit consumers, either immediately or in the longer term, but that may have some effect on enhancing market share or market power. Improving a firm’s products and thereby increasing its sales will often lead to increased market share and market power. This is not a competition problem per se; the problem, rather, is when market power is misused, or is likely to be misused. Whether or not this is effectively the case is what competition authorities strive to ascertain. The modified SLC test in Australia could substitute that judicious approach for a blunt, de facto prohibition of mergers and acquisitions by firms with market power. New Zealand should thus not seek to replicate it.

Another Australian reform which New Zealand should not follow is the modification of notification thresholds based on concentration. Concentration-based notification thresholds is that they unduly emphasize market structure. Our concern is that, by instituting market concentration as a notification criterion, merger-review process in New Zealand will remain committed to the analysis of market structure as the prime indicator of whether a merger should be allowed. This would be a mistake. Market structure is, at best, an imperfect proxy for competitive effects and, at worst, a misleading one.

The absence of correlation between increased concentration and both anticompetitive causes and deleterious economic effects is demonstrated by a recent, influential empirical paper by Shanat Ganapati. Ganapati finds that the increase in industry concentration in U.S. non-manufacturing sectors between 1972 and 2012 was “related to an offsetting and positive force—these oligopolies are likely due to technical innovation or scale economies. [The] data suggests that national oligopolies are strongly correlated with innovations in productivity.”[11] In the end, Ganapati found, increased concentration resulted from beneficial growth in firm size in productive industries that “expand[s] real output and hold[s] down prices, raising consumer welfare, while maintaining or reducing [these firms’] workforces.”[12] Sam Peltzman’s research on increasing concentration in manufacturing finds that it has, on average, been associated with both increased productivity growth and widening margins of price over input costs. These two effects offset each other, leading to “trivial” net price effects.[13]

This does not mean that concentration measures have no use in merger enforcement. Instead, it demonstrates that market concentration is often unrelated to antitrust enforcement, because it is driven by factors endogenous to each industry. In revamping its merger-control rules, New Zealand should be careful not to rely too heavily on structural presumptions based on concentration measures, as these may be poor indicators of those cases where antitrust enforcement would be most beneficial to consumers.

In sum, market structure should remain only a proxy for determining whether a transaction significantly lessens competition. It should not be at the forefront of merger review. And it should certainly not be the determining factor in deciding whether to block a merger. Similarly, it is not an appropriate notification threshold in merger control.

Our view is that there is no need to reinvent the wheel. Turnover has typically been used as a proxy for a merger’s competitive impact because it offers a first indicator of the parties’ relative position on the market. Where the parties (and especially the target company) have either no or only negligible turnover in the relevant country, it is highly unlikely that the merger will significantly lessen competition. Again, as recommended by the ICN:

  • Examples of objectively quantifiable criteria are assets and sales (or turnover). Examples of criteria that are not objectively quantifiable are market share and potential transaction-related Market share-based tests and other criteria that are inherently subjective and fact-intensive may be appropriate for later stages of the merger control process (e.g., determining the scope of information requests or the ultimate legality of the transaction), but such tests are not appropriate for use in making the initial determination as to whether a transaction requires notification.

Q6. How effective do you consider the current merger regime in balancing the risk of not enough versus too much intervention in markets?

The regime struggles with this balance. The Commission has limited resources. Pursuing very minor mergers with trivial effects on the New Zealand market, while failing to pursue enforcement action in occupational licensing cases that appear very obviously anticompetitive and harmful, does not provide the strongest improvement to consumer welfare.

A more explicit consumer?welfare focus not just in assessing merger effects but also in allocating scarce enforcement resources across areas could help achieve a more balanced approach.

Q8. Should the Commerce Act be amended to provide relevant criteria or further clarify how to assess a substantial degree of influence? If so, how should it be amended? Please provide reasons.

Yes. The Act should be amended to include clearer, more detailed criteria for assessing influence—considering factors such as board control, veto rights over key strategic decisions, and historical patterns of influence. This approach would reduce reliance on simple numerical thresholds (such as a 20% shareholding presumption) and better reflect the real-world dynamics of control.

Q14. Should the Commission be able to accept behavioural undertakings under the Commerce Act to address concerns with mergers? If so, in what circumstances?

This is a difficult area. Behavioural undertakings could allow efficient mergers to proceed that would otherwise be blocked by the Commission. However, there is risk that innocuous mergers that would have been approved regardless could be made subject to behavioural undertakings that do not work to the long-run benefit of consumer welfare.

Q17. What are your views on the merits of possible regulatory options outlined in this paper to mitigate this issue?

The range of options (including binding guidance, safe?harbour notification regimes, and class exemptions) are promising. Our preference is for a flexible framework that shifts the burden to the Commission to demonstrate competitive harm when needed, rather than requiring pre?clearance for every collaboration. Such flexibility is especially valuable for smaller businesses.

Q18. If relevant, what do you consider should be the key design features of your preferred option to facilitate beneficial collaboration?

Key design features could include:

  • Clear definitions that distinguish beneficial collaboration from coordinated anticompetitive
  • Built?in safeguards such as sunset clauses and periodic reviews to prevent regulatory
  • Transparent oversight and stakeholder consultation to ensure that any implicit regulatory pressure does not distort competitive behaviour.

Q19. What are your views on whether the Commerce Act adequately deters forms of ‘tacit collusion’ between firms that is designed to lessen competition?

While the Act addresses overt collusion, tacit collusion (especially in concentrated markets with high entry barriers) may not be sufficiently deterred. In some cases, implicit regulatory preferences or pressures can inadvertently serve as a coordination mechanism among incumbents, thus reducing independent competitive behaviour.

For example, if the banking regulator were viewed by the banks as having strong preferences about the greenhouse gas footprint of a bank’s lending portfolio, banks could coordinate around that signal to increase margins when lending to sectors viewed as disfavoured by the banks’ regulator. Enhanced measures may be needed to address these subtle forms of collusion. But those measures would be best focused on the behaviour of the regulator, to break the potential coordination point.

Q20. Should ‘concerted practices’ (e.g., when firms coordinate with each other with the purpose or effect of harming competition) be explicitly prohibited? What would be the best way to do this?

We again point to the importance of a consumer welfare standard when weighing the effects of any potential substantial lessening of competition. Any tightening of restrictions should preserve legitimate collaborative behaviour through clear exceptions and safeguards.

Q21. Do you consider that industry codes or rules could either: a. fill a gap in the competition regulation regime or b. provide a more efficient and appropriate response to addressing sector?specific competition issues rather than developing primary legislation?

We here only caution that industry codes can risk becoming instruments for anticompetitive coordination. If the review fixes on codes as potential instrument, it should ensure that any implemented codes are subject to ongoing review and sunset clauses to ensure that they have not themselves resulted in a lessening of competition to consumers’ detriment.

Q30. Are there any other issues that you would like to raise?

Yes. In addition to the detailed responses above, we urge the Review to adopt a broader perspective on competition in New Zealand.

  • Broader Structural Barriers: Many significant anticompetitive effects in NZ stem from regulatory regimes beyond the Commerce Act—such as land use planning, occupational licensing, and permitting processes—that effectively create cartels.
  • Role of the Crown Exception: We urge the adoption of Ben Hamlin’s proposed modernisation of the Commerce Act to ensure that any SLC caused by regulatory regimes provided that exception are able to meet an ongoing public benefit
  • Legislative Reform Beyond Mergers: We recommend that the Review consider whether the Commerce Act should be broadened (or complemented by other legislative measures) to empower the Commerce Commission to assess and, if necessary, challenge statutory regimes that restrict competition. For example, issues in land use planning (as seen in recent zoning decisions) and licensing arrangements (e.g., for community pharmacies and universities) have substantial competitive impacts that deserve attention.

In short, while the Review’s focus on merger control and minor regulatory tweaks is welcome, we strongly advocate that it also address these larger, structural issues that currently impose significant anticompetitive constraints on New Zealand’s markets.

We also urge that, when considering alignment to Australia’s merger regime, the submission of Manne et al (2024) on Australia’s reforms be weighed carefully. It has raised serious concerns with Australia’s approach.[14]

[1] Jamieson, Debbie. 2024. “Moral and health-related objections dismissed: Wanaka McDonald’s hearing.” The Christchurch Press. 25 November. Available at https://www.stu?.co.nz/nz-news/360496928/moral-and-health- related-objections-dismissed-wanaka-mcdonalds-hearing

[2] Atkins, Helen, Lisa Mein and Robert Scott. 2025. “Decision of the Queenstown Lakes District Council, RM230874.” 12 February.

[3] Ternouth, Louise. 2024. “Community pharmacists afraid for future of business and patient care.” Radio New Zealand. 31 July. https://www.rnz.co.nz/news/national/523520/community-pharmacists-afraid-for-future-of- business-and-patient-care

[4] Hamlin, B. 2024. “Commerce (Modernised Exceptions) Amendment Bill 2024”. A draft Member’s Bill produced for the Competition Policy Institute of New Zealand’s 2024 workshop.

[5] NICOLAS PETIT, BIG TECH AND THE DIGITAL ECONOMY: THE MOLIGOPOLY SCENARIO (2020); see also Walid Chaiehoudj, On “Big Tech and the Digital Economy”: Interview with Professor Nicolas Petit, COMPETITION FORUM (11 Jan. 2021), https://competition-forum.com/on-big-tech-and-the-digital-economy-interview-with- professor-nicolas-petit.

[6] Merger Reform: A Faster, Stronger, and Simpler System for a More Competitive Economy, AUSTRALIAN GOVERNMENT, THE TREASURY 5 (10 Apr. 2024), https://treasury.gov.au/sites/default/?les/2024-05/p2024- 518262-merger-reforms-paper.pdf (“Merger Reform Paper”).

[7] See, generally, Brian Albrecht, Dirk Auer, Daniel J. Gilman, Gus Hurwitz, & Geo?rey A. Manne, Comments of the International Center for Law & Economics on Proposed Changes to the Premerger Noti?cation Rules, INT’L CTR LAW ECON. (27 Sept. 2023), https://laweconcenter.org/resources/comments-of-the-international-center- for-law-economics-on-proposed-changes-to-thepremerger-noti?cation-rules.

[8] See Jonathan B. Cohn, Edith Hotchkiss, & Erin Towery, Sources of Value Creation in Private Equity Buyouts of Private Firms, 26 REV. OF FIN. 257 (2022).

[9] See, e.g., Guidelines on the Assessment of Non-Horizontal Mergers Under the Council Regulation on the Control of Concentrations Between Undertakings, (2008/C 265/07), paras 11-13 (EU).

[10] Standard for Merger Review, OECD 6 at 16 (11 May 2010), https://www.oecd.org/daf/competition/45247537.pdf.

[11] Shanat Ganapati, Growing Oligopolies, Prices, Output, and Productivity, 13(3) AM. ECON. J. MICROECON. 309-327, 324 (Aug. 2021).

[12] Id, at 309.

[13] Sam Peltzman, Productivity, Prices and Productivity in Manufacturing: a Demsetzian Perspective, Coase- Sandor Working Paper Series in Law and Economics 917, (19 Jul. 2021).

[14] Manne, Geo?rey et al. 2024. “Comments of the International Center for Law & Economics: Reforming Mergers and Acquisitions – Exposure Draft”. 13 August. Available at https://laweconcenter.org/wp- content/uploads/2024/08/Comments-of-the-ICLE-Merger-Consultarion-AUS.pdf.

Regulatory Comments

Peru

Main Developments in Competition Law and Policy 2024 – Peru

In comparison to the year prior, 2024 may have seemed a quiet time for Peruvian competition law, but it was not without important developments. Heralded worldwide as the “year of elections,” 2024 brought changes to the Peruvian competition agency (the National Institute for the Defense of Competition and the Protection of Intellectual Property, or INDECOPI, after its Spanish acronym). Karin Cáceres, originally appointed to replace Julián Palacín as the institution’s president in 2023, resigned in April. Appointed in her place was Alberto Villanueva Eslava, a former member and president of the INDECOPI Court’s Specialized Chamber for Bankruptcy Proceedings. Villanueva has a more technical profile and more extensive knowledge of the institution, and his appointment was welcomed by several specialists.

Read the full piece here.

Popular Media (ICLE)

South Korea

US Trade Retaliation May Be the Consequence for Imitating the EU’s Digital Rulebook

In a tense meeting room last month in Brussels, U.S. trade negotiators leaned forward and delivered a pointed warning to their European counterparts: “Europe’s digital rules? They’re on the table—if the EU digs in, your exports face consequences.”

South Korea now stands on the same precipice. By moving forward with the proposed Online Platform Monopoly Act (OPMA) and reforms to the Monopoly Regulation and Fair Trade Act (MRFTA)—both modeled on the EU’s Digital Markets Act—Seoul risks not only hamstringing its digital ecosystem, but also drawing the ire of a U.S. administration determined to shield its tech champions.

Read the full piece here.

TOTM

The View from Korea: A TOTM Q&A with Dae Sik Hong

Our latest guest in Truth on the Market’s “Global Voices Forum” series is Dae Sik Hong, a professor of economic law at South Korea’s Sogang University Law School. We discuss the proposed Platform Competition Promotion Act, potential changes to South Korea’s Competition Act, recent interventions by the Korea Fair Trade Commission, and the near-term future for platform regulation in the country.

Read the full piece here.

TOTM

Fair Trade Act Amendments Would Create Flaws

South Korea recently abandoned plans for the Platform Competition Promotion Act (PCPA), legislation inspired by the European Union’s landmark Digital Markets Act (DMA), which aimed to establish strict competition rules for digital platforms such as Google, Apple, Amazon, and Meta. Instead, the Korea Fair Trade Commission (KFTC) and President Yoon Suk Yeol’s government have expressed support for amendments to the existing Fair Trade Act.

Read the full piece here.

Popular Media (ICLE)

Lessons from Korea’s Roller-Coaster Ride Toward Platform (Non)Regulation

The Korea Fair Trade Commission (KFTC), the nation’s competition authority, announced Sept. 9 that it had abandoned plans for comprehensive platform regulation modeled after the European Union’s Digital Markets Act (DMA) or Section 19a of Germany’s Competition Act. The proposed Korean regulation would have involved an ex-ante designation process, alongside stringent prohibitions. The KFTC noted that it would instead pursue amendments to Korea’s competition law, the Monopoly Regulation and Fair Trade Act (MRFTA), to better address platform-related issues within the traditional competition-law framework.

Read the full piece here.

TOTM

Comment of the International Center of Law & Economics Concerning the Proposed Amendments to Korea’s Merger Review Guidelines

Introduction

The International Center for Law & Economics (“ICLE”) is a nonprofit, nonpartisan, global research and policy center—based in Portland. Oregon, United States—founded to build the intellectual foundations for sensible, economically grounded policy. ICLE promotes the use of law & economics methodologies, and economic findings, to inform public policy. More specifically, ICLE and its affiliate scholars have written extensively about competition and merger policy and routinely engage with policymakers and academics across the globe on these issues.

On November 14, 2023, the Korea Fair Trade Commission (“KFTC”) announced a proposed amendment to its Merger Review Guidelines (“Guidelines”) (“Proposed Amendment”).[1] The Proposed Amendment introduces guidance around how the KFTC assesses mergers in the digital sector and is based on KFTC’s experience in digital merger assessment. We appreciate the opportunity to comment on some of the changes made by the Proposed Amendment.

In our view, the Proposed Amendment departs from established antitrust analytical framework and presume anti-competitive effect for mergers involving online platform businesses.

The amendments raise several important issues, but our comments focus on the eligibility criteria for fast-track review of mergers. Under the existing Merger Review Guidelines, conglomerate mergers involving non-complementary and non-substitutable products are eligible for a fast-track review. However, the Proposed Amendment precludes the applicability of such fast-track review process to transactions that involve online platforms acquiring targets that, in the immediately preceding year, either (i) reached a monthly average of 5 million users (about 10% of Korea’s population) with its products or services, or (ii) invested at least KRW 30 billion in R&D, indicating a high potential for innovation, as long as the merger meets the standard reporting requirements (where one party’s size is KRW 300 billion or more and other party’s size is KRW 30 billion or more).

These changes appear designed to catch certain startup acquisitions that would otherwise escape merger review because the target firm has little to no turnover or assets. In other words, the amendment adds a new threshold that aims to ensure potential “killer acquisitions” are reviewed by enforcers.

But while attempting to catch transactions that may harm consumers is commendable, it is important to understand the important tradeoffs that ensue. Policing mergers is not costless, and any change in merger policy should consider both the benefits and the costs. Agencies will need to devote time and resources to assess mergers that previously were waved through without review. In turn, absent significantly more resources, this will reduce the review time devoted to the most problematic deals. Looking outside the agency, it will also increase the cost of mergers for parties, thereby chilling all deals, even procompetitive deals.

Our comment analyzes these tradeoffs in more detail, ultimately concluding that lower merger-filing thresholds and fewer safe harbors may be inappropriate when viewed through the lens of the error-cost framework. Section I puts the Amendment in a global context, explaining the impetus for and weakness of attempts to bolster merger enforcement around the world. Section II outlines some of the implications of the error-cost framework for merger policy. Section III concludes by putting forward four questions that policymakers should ask themselves when they amend merger-enforcement law and policy.

I.        The Global Crackdown on Mergers

The antitrust policy world has fallen out of love with corporate mergers. After decades of relatively laissez-faire enforcement, spurred in part by the emergence of Chicago school of economics,[2] a growing number of policymakers and scholars are calling for tougher rules to curb corporate acquisitions. But these appeals are premature. There is currently little evidence to suggest that mergers systematically harm consumer welfare. More importantly, scholars fail to identify alternative institutional arrangements that could capture the anticompetitive mergers that evade prosecution without disproportionate false positives and administrative costs. Their proposals thus fail to meet the requirements of the error-cost framework.

Taking a step back, there are multiple reasons for the antitrust community’s about-face. These include concerns about rising market concentration,[3] labor-market monopsony power,[4] and of large corporations undermining the very fabric of democracy.[5] But of these numerous (mis)apprehensions, one has received the lion’s share of scholarly and political attention: a growing number of voices argue that existing merger rules fail to apprehend competitively significant mergers that either fall below existing merger-filing thresholds or affect innovation in ways that are, allegedly, ignored by current rules. For instance, Rohit Chopra, a former commissioner at the US Federal Trade Commission, asserted that too many transactions avoid antitrust scrutiny by falling through the cracks of HSR premerger notification thresholds. For instance, Rohit Chopra, a former commissioner at the U.S. Federal Trade Commission, asserted that too many transactions avoid antitrust scrutiny by falling through the cracks of the Hart-Scott-Rodino Act’s premerger-notification thresholds. As a result, Chopra claimed, “[t]he FTC ends up missing a large number of anticompetitive mergers every year.”[6]

These fears are particularly acute in the pharmaceutical and tech industries, where several high-profile academic articles and reports claim to have identified important gaps in current merger-enforcement rules, particularly with respect to acquisitions involving nascent and potential competitors.[7] Some of these gaps are purported to arise in situations that would normally appear to be procompetitive:

Established incumbents in spaces like tech, digital payments, internet, pharma and more have embarked on bids to acquire features, businesses and functionalities to shortcut the time and effort they would otherwise require for organic expansion. We have traditionally looked at these cases benignly, but it is now right to be much more cautious.[8]

As a result of these perceived deficiencies, scholars and enforcers have called for tougher rules, including the introduction of lower merger-filing thresholds—similar to what has been put forward in Korea’s proposed reform of its merger rules—and substantive changes, such as the inversion of the burden of proof when authorities review mergers and acquisitions in the digital-platform industry.[9] Meanwhile, and seemingly in response to the increased political and advocacy pressures around the issue, U.S. antitrust enforcers have recently undertaken several enforcement actions directly targeting such acquisitions.[10] Meanwhile, and seemingly in response to the increased political and advocacy pressures around the issue, U.S. antitrust enforcers have recently undertaken several enforcement actions that directly target such acquisitions.[11]

These proposals, however, tend to overlook the important tradeoffs that would ensue from attempts to decrease the number of false positives under existing merger rules and thresholds. While merger enforcement ought to be mindful of these possible theories of harm, the theories and evidence are not nearly as robust as many proponents suggest. Most importantly, there is insufficient basis to conclude that the costs of permitting the behavior they identify is greater than the costs would be of increasing enforcement to prohibit it.[12]

In this regard, two key strands of economic literature are routinely overlooked (or summarily dismissed) by critics of the status quo.

For a start, as Judge Frank Easterbrook argued in his pioneering work on The Limits of Antitrust, antitrust enforcement is anything but costless.[13] In the case of merger enforcement, not only is it expensive for agencies to detect anticompetitive deals but, more importantly, overbearing rules may deter beneficial merger activity that creates value for consumers. Indeed, not only are most mergers welfare-enhancing, but barriers to merger activity have been shown to significantly, and negatively, affect early company investment.[14]

Second, critics are mistaking the nature of causality. Scholars routinely surmise that incumbents use mergers to shield themselves from competition. Acquisitions are thus seen as a means to eliminate competition. But this overlooks an important alternative. It is at least plausible that incumbents’ superior managerial or other capabilities (i.e., what made them successful in the first place) make them the ideal purchasers for entrepreneurs and startup investors who are looking to sell.

This dynamic is likely to be amplified where the acquirer and acquiree operate in overlapping lines of business. In other words, competitive advantage, and the ability to profitably acquire other firms, might be caused by business acumen rather than exemplifying anticompetitive behavior. And significant and high-profile M&A activity involving would-be competitors may thus be the procompetitive byproduct of a well-managed business, rather than anticompetitive efforts to stifle competition.

Critics systematically overlook this possibility. Indeed, Henry Manne’s seminal work on Mergers and Market for Corporate Control[15]—the first to argue that mergers are a means of applying superior management practices to new assets—is almost never cited by contemporary researchers in this space. Our comments attempt to set the record straight.

With this in mind, we believe that calls to reform merger enforcement rules and procedures should be analyzed under the error-cost framework. With this in mind, we believe that calls to reform merger-enforcement rules and procedures should be analyzed under the error-cost framework. Accordingly, the challenge for policymakers is not merely to minimize type II errors (i.e., false acquittals), which have been a key area of focus for recent scholarship, but also type I errors (i.e., false convictions) and enforcement costs. This is particularly important in the field of merger enforcement, where authorities need to analyze vast numbers of transactions in extremely short periods of time.

In other words, while scholars have raised valid concerns, they have not suggested alternative institutional arrangements to address them that would lead to better overall outcomes. In other words, while scholars have raised valid concerns, they have not suggested alternative institutional arrangements to address those concerns that would lead to better overall outcomes. All legal enforcement systems are imperfect, and it is not enough to justify changes to the system that some imperfections can be identified.[16] Indeed, it could be that antitrust doctrine currently condones practices that harm innovation, but that there is no cost-effective way to reliably identify and deter this harmful conduct.

For instance, as we discuss below, a recent paper estimates that between 5.3% and 7.4% of pharmaceutical mergers are “killer acquisitions.”[17] But even if that is accurate, it suggests no tractable basis on which those acquisitions can be differentiated ex ante from the 92.6% to 94.7% that are presumed to be competitively neutral or procompetitive. A reformed system that overly deters these acquisitions in order to capture more of the problematic ones—which is presumably the purpose of the merger-related amendments in the 2023 Competition Act— is not necessarily an improvement.

Further, while many of the arguments suggesting that the current system is imperfect are well-taken, these claims of systemic problems are not always as robust as proponents suggest. This further weakens the case for policy reform, because any potential gains from such reforms are likely far less certain than they are often claimed to be.

II.      Antitrust and the Error-Cost Framework

Firms spend trillions of dollars globally every year on corporate mergers, acquisitions, and R&D investments.[18] Most of the time, these investments are benign, often leading to cost reductions, synergies, new or improved products, and lower prices for consumers.[19] For smaller firms, the possibility of being acquired can be vital to making a product worth developing.

There are also instances, however, when M&A activity enables firms to increase their market power and reduce output. Therein lies the fundamental challenge for antitrust authorities: among these myriad transactions, investments, and business decisions, is it possible to effectively sort the wheat from the chaff in a way that leads to net improvements in efficiency and competition, and ultimately consumer welfare? In more concrete terms, the question is: are there reasonable rules and standards that enforcers can use to filter out anticompetitive practices while allowing beneficial ones to follow their course? And if so, can this be done in a timely and cost-effective manner?[20]

A.      The Use of Filters in Antitrust

What might appear to be a herculean task has, in fact, been considerably streamlined, and vastly improved, by the emergence of the error-cost framework, itself a byproduct of pioneering advances in microeconomics and industrial organization.[21] This is “the economists’ way out.”[22] The error-cost framework is designed to enable authorities to focus their limited resources on that conduct most likely to have anticompetitive effects. In practice, this is done by applying several successive filters that separate potentially anticompetitive practices from ones that are likely innocuous.[23] Depending on this initial classification, practices are then submitted to varying levels of scrutiny, which may range from per se prohibitions to presumptive legality.[24]

Of the thousands of M&A transactions each year, only a few must be notified to antitrust authorities, and fewer still are subject to in-depth reviews.[25] For instance, in both the United States and the European Union, only deals that meet certain transaction values and/or revenue thresholds require merger notifications.[26] Accordingly, U.S. antitrust authorities receive somewhere in the vicinity of 2,000 merger filings per year, while the European Commission usually receives a few hundred.[27] Typically, less than 5% of these mergers are ultimately subjected to in-depth reviews.[28] These cases are selected by applying yet another set of filters that include: looking at the relationship between the merging firms (horizontal, vertical, conglomerate); calculating market shares and concentration ratios; and checking whether transactions fall within several recognized theories of harm.[29]

Similar filtering mechanisms apply to other forms of conduct. Incumbent firms routinely decide to enter adjacent markets, for instance, or to adopt strategies that might incidentally reduce competition in markets where they are already present. As with mergers, authorities and courts apply a series of filters/presumptions to home in on those practices most likely to cause anticompetitive harm.[30] Firms with low market shares are deemed less likely to possess market power (and thus, less likely to harm competition); vertical agreements are widely seen as being less problematic than horizontal ones; and vertical integration is widely regarded as procompetitive, absent other accompanying factors.[31]

This system is certainly not perfect; filtering cases in this manner inevitably lets some anticompetitive practices fall through the cracks. Indeed, the error-cost framework is premised on the recognition of this eventuality. Nevertheless, the strengths of this paradigm arguably outweigh its weaknesses. “If presumptions let some socially undesirable practices escape, the cost is bearable. . . . One cannot have the savings of decision by rule without accepting the costs of mistakes.”[32]

In most jurisdictions around the world, today’s competition merger-control apparatus is administrable,[33] somewhat predictable,[34] and—in the case of merger enforcement—it ensures that deals are reviewed in a relatively timely manner.[35]

The contours of this system have profound ramifications for substantive antitrust policy. Potential reforms need to account for the tradeoffs inherent to this vision of antitrust enforcement: between false positives and false negatives, between timeliness and thoroughness, and so on. Accordingly, the relevant policy question is not whether existing provisions allow certain categories of potentially harmful conduct to go unchallenged. Instead, policymakers should ask whether there is a better set of filters and heuristics that would enable authorities and courts to prevent previously unchallenged anticompetitive conduct without overburdening the system or disproportionately increasing false positives. In short, antitrust enforcers must avoid the so-called “nirvana fallacy” of believing that all errors can be eliminated, and existing policies should thus always be weighed against alternative institutional arrangements (as opposed to merely identifying instances where they lead to false negatives).[36]

B.      Calls for a Reform of Merger-Enforcement Rules and Thresholds

Against this backdrop, a growing body of economic literature has identified potential inadequacies in both the U.S. and EU merger-control regimes, as well as the antitrust rules that govern the business practices of digital platforms (notably, vertical integration and tying).[37] These critiques focus on ways in which incumbents might prevent nascent or potential rivals from introducing innovative new products and services that could disrupt their existing businesses. In short, this recent economic literature purports to show how incumbents might use their dominant market positions to reduce innovation.

For instance, recent empirical research purports to show that mergers of pharmaceutical companies with overlapping R&D pipelines result in higher project-termination rates, thus reducing innovation and, ultimately, price competition. These are referred to as “killer acquisitions.”[38] Others have argued that killer acquisitions also occur in the tech sector, although the empirical evidence offered to support this second claim is much weaker. In large part, this is because it does not differentiate between legitimate, efficient discontinuations of acquired products (such as the product being unsuccessful on the market, or the acquisition being done to hire the staff of the acquired firm) and the elimination of potential competitors.[39] Acquisitions of nascent and potential competitors undertaken with the intention of reducing competition have also been described as “killer acquisitions,” even if they do not involve their products being discontinued.[40]

Along similar lines, it is sometimes argued that large tech firms create so-called “kill zones” around their core businesses.[41] Similarly, some scholars assert that incumbent digital platforms might seek to foreclose rivals in adjacent markets by “copying” their products, or by using proprietary datasets that tilt the scales in their favor.[42]

All of these practices are said to harm innovation by deterring the incentives of competitors to invest in innovations that compete with incumbents. And the overarching theme of the above research is that existing antitrust doctrine is ill-equipped to handle these practices—or, at the very least, that antitrust law should be enforced more vigorously in these settings.

But while the above research identifies important and potentially harmful conduct that cannot be dismissed out of hand, it is important to recognize its inherent limitations when it comes to informing normative policy decisions. Indeed, there is a vast difference between identifying categories of conduct that sometimes harm consumers, on the one hand, and being able to isolate individual instances of anticompetitive behavior, on the other (and even then, it is important to distinguish conduct that harms consumers overall from conduct that merely harms certain parameters of competition while improving others. In other words, antitrust law should prohibit conduct when the category it belongs to is generally harmful to consumers and/or when harmful occurrences of that conduct can readily be distinguished[43]).

The above is merely a restatement of the error-cost framework, which highlights that the existence of false negatives is not a sufficient condition for increased intervention. The fact—if it can be proved—that there were some false negatives does not imply that there has been underenforcement with respect to the optimal level of enforcement. In other words, in the digital space, the argument can be made that an optimal merger policy on average leads to ex-post “underenforcement.” Moreover, even if the level of enforcement has been lower than optimal, one must be careful not to swing too far in the opposite direction, especially in high-tech industries. The chilling effect on innovation could be significant.[44] Instead, any change to the standards of government intervention that seeks to prevent more of these false negatives, with all the accompany tradeoffs and risks inherent to this enterprise, must ultimately increases social welfare overall.

Take the example of Google. It has acquired at least 270 companies over the last two decades.[45] It has been argued that some of these—such as Google’s acquisitions of YouTube, Waze, or DoubleClick—may have been anticompetitive. The real test for regulators, however, is whether they could reliably identify which of Google’s 270 acquisitions are actually anticompetitive and do so under a decision rule that causes less harm to consumers from false positives caused by the current (alleged) false negatives. If the anticompetitive mergers are such a tiny percentage of total mergers, and if identifying them a priori is difficult, then a precautionary-principle strategy that results in many false positives would likely not merit the benefits from blocking one or two anticompetitive mergers.

Indeed, but for Google and Facebook’s investments in YouTube and Instagram (to cite but two examples), it is far from clear that a mere “video-hosting service” or “photo-sharing app” would have grown into the robust competitor that advocates assume. Apart from the potential synergies arising from the combination of these products with the acquiring companies’ other products (for example, YouTube’s search and recommendation engines being developed by Google, the world’s leading internet-search company, or Instagram’s ad platform being integrated with Facebook’s), corporate control by the acquiring company may lead to these firms being better managed. This concept of M&A as creating a “market for corporate control” adds an important new dimension to the understanding of the tradeoffs involved.[46]

These anticompetitive theories of harm can thus be separated into three broad categories: (1) large incumbents have become so dominant in their primary markets that venture capitalists decline to fund startups that compete head-on, reducing potential competition; (2) these incumbents acquire potential competitors or non-competitor startups so as to reduce the competition along several dimensions, and (3) that incumbents purchase competitors to shut down their overlapping innovation pipelines (i.e., killer acquisitions).

III.    Concluding Remarks

With this in mind, applying the error-cost framework should lead policymakers to carefully consider the following questions when evaluating the merits and policy implications of economic research in this space:

  1. Do the papers advancing these theories identify categories of conduct that, on average, harm consumer welfare?
  2. If not, do the papers identify additional factors that would enable authorities to infer the existence of anticompetitive effects in individual cases?
  3. If so, would it be feasible for authorities to add these factors to their analysis (in terms of time and resources)?
  4. Finally, would prohibiting these practices at an individual or category level prevent efficiencies that would otherwise outweigh these anticompetitive harms? And could these efficiencies be analyzed on a case-by-case basis?

In addition to these error-cost-related questions, it is also necessary to question whether the results of these studies are relevant outside of the specific markets that they examine, and whether they give sufficient weight to countervailing procompetitive justifications.

All of this has profound ramifications for amendments to Korea’s competition law. Lowering merger-filing thresholds may be counterproductive if it means fewer enforcement resources are devoted to other, more important cases. To make matters worse, heightened merger-control rules may deter firms from merging in the first place. In short, we recommend that Korean policymakers carefully consider whether the possibility of catching an additional handful of anticompetitive mergers is worth the significant costs that would be incurred by the Korean economy.

[1] Korea Fair Trade Commission, Administrative notice of amendments to business combination review standards (Nov. 14, 2023), available at https://www.ftc.go.kr/www/selectReportUserView.do?key=10&rpttype=1&report_data_no=10291.

[2] See, e.g., Jonathan B Baker, Recent Developments in Economics That Challenge Chicago School Views, 58 Antitrust L.J. 655 (1989) (“Over the past fifteen years, the courts and enforcement agencies have created Robert Bork’s antitrust paradise. Antitrust has adopted the Chicago School’s efficiency analysis and the Chicago School’s conclusions about the effects of business practices.”). Note that, in many ways, the Chicago and late-Harvard views are somewhat similar when it comes to mergers—both schools of thought might thus have influenced this loosening of merger policy. See, e.g., Richard A Posner, The Chicago School of Antitrust Analysis, U. Penn. L. Rev. 937 (1979) (“The change in thinking that has been brought about by the Chicago school is nowhere more evident than in the area of vertical integration. Kaysen and Turner, writing in 1959, advocated for- bidding any vertical merger in which the acquiring firm had twenty percent or more of its market. Areeda and Turner, writing in 1978, express very little concern with anticompetitive effects from vertical integration. In fact, as between a rule of per se illegality for vertical integration by monopolists and a rule of per se legality, their preference is for the latter.”).

[3] See, e.g., Germán Gutiérrez & Thomas Philippon, Declining Competition and Investment in the U.S., NBER Working Paper 1 (2017) (“The U.S. business sector has under-invested relative to Tobin’s Q since the early 2000’s. We argue that declining competition is partly responsible for this phenomenon.”). Contra, Esteban Rossi-Hansberg, Pierre-Daniel Sarte & Nicholas Trachter, Diverging trends in national and local concentration, 35 NBER Macroeconomics Annual 1 (2021) (“Using US NETS data, we present evidence that the positive trend observed in national product-market concentration between 1990 and 2014 becomes a negative trend when we focus on measures of local concentration. We document diverging trends for several geographic definitions of local markets. SIC 8 industries with diverging trends are pervasive across sectors. In these industries, top firms have contributed to the amplification of both trends. When a top firm opens a plant, local concentration declines and remains lower for at least 7 years. Our findings, therefore, reconcile the increasing national role of large firms with falling local concentration, and a likely more competitive local environment.”).

[4] See, e.g., José Azar, Ioana Marinescu, Marshall Steinbaum & Bledi Taska, Concentration in U.S. labor markets: Evidence From Online Vacancy Data, 66 Labour Economics 101886 (2020) (“These indicators suggest that employer concentration is a meaningful measure of employer power in labor markets, that there is a high degree of employer power in labor markets, and also that it varies widely across occupations and geography.”).

[5] See, e.g., Tim Wu, The Curse of Bigness: Antitrust in the New Gilded Age 9 (2018) (“We have managed to recreate both the economics and politics of a century ago—the first Gilded Age—and remain in grave danger of repeating more of the signature errors of the twentieth century. As that era has taught us, extreme economic concentration yields gross inequality and material suffering, feeding an appetite for nationalistic and extremist leadership. Yet, as if blind to the greatest lessons of the last century, we are going down the same path. If we learned one thing from the Gilded Age, it should have been this: The road to fascism and dictatorship is paved with failures of economic policy to serve the needs of the general public.”).

[6] Rohit Chopra, Statement of Commissioner Rohit Chopra, 85 Fed. Regis. 231, 77052 (2020) (“Adequate premerger reporting is a helpful tool used to halt anticompetitive transactions before too much damage is done. However, the usefulness of the HSR Act only goes so far. This is because many deals can quietly close without any notification and reporting, since only transactions above a certain size are reportable.”).

[7] See Collen Cunningham, Florian Ederer, & Song Ma, Killer Acquisitions, 129 J. Pol. Econ. 649 (2021); Sai Krishna Kamepalli, Raghuram Rajan & Luigi Zingales, Kill Zone, Nat’l Bureau of Econ. Research, Working Paper No. 27146 (2020); Digital Competition Expert Panel, Unlocking Digital Competition (2019), available at https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/785547/unlocking_digital_competition_furman_review_web.pdf; Stigler Center for the Study of the Economy and the State, Stigler Committee on Digital Platforms (2019), available at https://www.publicknowledge.org/wp-content/uploads/2019/09/Stigler-Committee-on-Digital-Platforms-Final-Report.pdf; Australian Competition & Consumer Commission, Digital Platforms Inquiry (2019), available at https://www.accc.gov.au/system/files/Digital%20platforms%20inquiry%20-%20final%20report.pdf. See also Jacques Cre?mer, Yves-Alexandre De Montjoye, Heike Schweitzer, Competition Policy For The Digital Era Final Report (2019), available at https://ec.europa.eu/competition/publications/reports/kd0419345enn.pdf [hereinafter “Crémer Report”].

[8] Cristina Caffarra, Gregory S. Crawford, & Tommaso Valletti, “How Tech Rolls”: Potential Competition and “Reverse” Killer Acquisitions, 2 Antitrust Chron. 1, 1 (2020).

[9] As far as jurisdictional thresholds are concerned, see, e.g., Crémer Report, supra note 7, at 10 (“Many of these acquisitions may escape the Commission’s jurisdiction because they take place when the start-ups do not yet generate sufficient turnover to meet the thresholds set out in the EUMR. This is because many digital startups attempt first to build a successful product and attract a large user base while sacrificing short-term profits; therefore, the competitive potential of such start-ups may not be reflected in their turnover. To fill this gap, some Member States have introduced alternative thresholds based on the value of the transaction, but their practical effects still have to be verified.”). As far as inverting the burden of proof is concerned, see, e.g., Crémer Report, supra note 7, at 11 (“The test proposed here would imply a heightened degree of control of acquisitions of small start-ups by dominant platforms and/or ecosystems, to be analysed as a possible strategy against partial user defection from the ecosystem. Where an acquisition is plausibly part of such a strategy, the notifying parties should bear the burden of showing that the adverse effects on competition are offset by merger-specific efficiencies.”).

[10] See FTC Press Release, FTC Sues to Block Procter & Gamble’s Acquisition of Billie, Inc. (Dec. 8, 2020), https://www.ftc.gov/news-events/press-releases/2020/12/ftc-sues-block-procter-gambles-acquisitionbillie-inc; DOJ Press Release, Justice Department Sues to Block Visa’s Proposed Acquisition of Plaid (Nov. 5, 2020), https://www.justice.gov/opa/pr/justice-department-sues-block-visas-proposedacquisition-plaid; FTC Press Release, FTC Files Suit to Block Edgewell Personal Care Company’s Acquisition of Harry’s, Inc. (Feb. 3, 2020), https://www.ftc.gov/news-events/press-releases/2020/02/ftcfiles-suit-block-edgewell-personal-care-companys-acquisition; FTC Press Release, FTC Challenges Illumina’s Proposed Acquisition of PacBio (Dec. 17, 2019), https://www.ftc.gov/newsevents/pressreleases/2019/12/ftc-challenges-illuminas-proposed-acquisition-pacbio; DOJ Press Release, Justice Department Sues to Block Sabre’s Acquisition of Farelogix (Aug. 20, 2019), https://www.justice.gov/opa/pr/justice-department-sues-block-sabres-acquisition-farelogix.

[11] See FTC Press Release, FTC Sues to Block Procter & Gamble’s Acquisition of Billie, Inc. (Dec. 8, 2020), https://www.ftc.gov/news-events/press-releases/2020/12/ftc-sues-block-procter-gambles-acquisitionbillie-inc; DOJ Press Release, Justice Department Sues to Block Visa’s Proposed Acquisition of Plaid (Nov. 5, 2020), https://www.justice.gov/opa/pr/justice-department-sues-block-visas-proposedacquisition-plaid; FTC Press Release, FTC Files Suit to Block Edgewell Personal Care Company’s Acquisition of Harry’s, Inc. (Feb. 3, 2020), https://www.ftc.gov/news-events/press-releases/2020/02/ftcfiles-suit-block-edgewell-personal-care-companys-acquisition; FTC Press Release, FTC Challenges Illumina’s Proposed Acquisition of PacBio (Dec. 17, 2019), https://www.ftc.gov/newsevents/pressreleases/2019/12/ftc-challenges-illuminas-proposed-acquisition-pacbio; DOJ Press Release, Justice Department Sues to Block Sabre’s Acquisition of Farelogix (Aug. 20, 2019), https://www.justice.gov/opa/pr/justice-department-sues-block-sabres-acquisition-farelogix.

[12] See, e.g., Prepared Remarks of Commissioner Noah Joshua Phillips, “Reasonably Capable? Applying Section 2 to Acquisitions of Nascent Competitors,” Antitrust in the Technology Sector: Policy Perspectives and Insights From the Enforcers Conference (Apr. 29, 2021), available at https://www.ftc.gov/system/files/documents/public_statements/1589524/reasonably_capable_-_acquisitions_of_nascent_competitors_4-29-2021_final_for_posting.pdf (“Some would-be reformers view M&A as fundamentally predatory and wish to “level the playing” field for smaller, less competitive, or more sympathetic businesses by throwing as much sand in the gears as possible. But their Harrison Bergeron vision of competition, handicapping successful businesses, will not so much level the field as tilt the scales dramatically in favor of the government, handing tremendous power to regulators, sapping American competitiveness, and hitting Americans in their pocketbooks.”).

[13] Frank H. Easterbrook, The Limits of Antitrust, 63 Tex. L. Rev. 1 (1984).

[14] For vertical mergers, the welfare-enhancing effects are well-established. See, e.g., Francine Lafontaine & Margaret Slade, Vertical Integration and Firm Boundaries: The Evidence, 45 J. Econ. Lit. 677 (2007) (“In spite of the lack of unified theory, over all a fairly clear empirical picture emerges. The data appear to be telling us that efficiency considerations overwhelm anticompetitive motives in most contexts. Furthermore, even when we limit attention to natural monopolies or tight oligopolies, the evidence of anticompetitive harm is not strong.”). See also, Global Antitrust Institute, Comment Letter on Federal Trade Commission’s Hearings on Competition and Consumer Protection in the 21st Century, Vertical Mergers 8–9, Geo. Mason Law & Econ. Research Paper No. 18-27 (2018), https://ssrn.com/abstract=3245940 (“In sum, these papers from 2009-2018 continue to support the conclusions from Lafontaine & Slade (2007) and Cooper et al. (2005) that consumers mostly benefit from vertical integration. While vertical integration can certainly foreclose rivals in theory, there is only limited empirical evidence supporting that finding in real markets. The results continue to suggest that the modern antitrust approach to vertical mergers 9 should reflect the empirical reality that vertical relationships are generally procompetitive.”). Along similar lines, empirical research casts doubt on the notion that antitrust merger enforcement (in marginal cases) raises consumer welfare. The effects of horizontal mergers are, empirically, less well-documented. See, e.g., Robert W Crandall & Clifford Winston, Does Antitrust Policy Improve Consumer Welfare? Assessing the Evidence, 17 J. Econ. Persp. 20 (2003) (“We can only conclude that efforts by antitrust authorities to block particular mergers or affect a merger’s outcome by allowing it only if certain conditions are met under a consent decree have not been found to increase consumer welfare in any systematic way, and in some instances the intervention may even have reduced consumer welfare.”). While there is some evidence that horizontal mergers can reduce consumer welfare, at least in the short run, see, for example, Gregory J. Werden, Andrew S. Joskow, & Richard L. Johnson, The Effects of Mergers on Price and Output: Two Case Studies from the Airline Industry, 12 Mgmt. Decis. Econ. 341 (1991), the long-run effects appear to be strongly positive. See, e.g., Dario Focarelli & Fabio Panetta, Are Mergers Beneficial to Consumers? Evidence from the Market for Bank Deposits, 93 Am. Econ. Rev. 1152, 1152 (2003) (“We find strong evidence that, although consolidation does generate adverse price changes, these are temporary. In the long run, efficiency gains dominate over the market power effect, leading to more favorable prices for consumers.”). See also generally Michael C. Jensen, Takeovers: Their Causes and Consequences, 2 J. Econ. Persp. 21 (1988). Some related literature similarly finds that horizontal merger enforcement has harmed consumers. See B. Espen Eckbo & Peggy Wier, Antimerger Policy Under the Hart-Scott-Rodino Act: A Reexamination of the Market Power Hypothesis, 28 J.L. & Econ. 119, 121 (1985) (“In sum, our results do not support the contention that enforcement of Section 7 has served the public interest. While it is possible that the government’s merger policy has deterred some anticompetitive mergers, the results indicate that it has also protected rival producers from facing increased competition due to efficient mergers.”); B. Espen Eckbo, Mergers and the Value of Antitrust Deterrence, 47 J. Finance 1005, 1027-28 (1992) (rejecting “the market concentration doctrine on samples of both U.S. and Canadian mergers. By implication, the results also reject the effective deterrence hypothesis. The evidence is, however, consistent with the alternative hypothesis that the horizontal mergers in either of the two countries were expected to generate productive efficiencies”). Regarding the effect of mergers on investment, see, e.g., Gordon M. Phillips & Alexei Zhdanov, Venture Capital Investments and Merger and Acquisition Activity Around the World, NBER Working Paper No. w24082 (Nov. 2017), available at https://ssrn.com/abstract=3082265 (“We examine the relation between venture capital (VC) investments and mergers and acquisitions (M&A) activity around the world. We find evidence of a strong positive association between VC investments and lagged M&A activity, consistent with the hypothesis that an active M&A market provides viable exit opportunities for VC companies and therefore incentivizes them to engage in more deals.”). And increased M&A activity in the pharmaceutical sector has not led to decreases in product approvals; rather, quite the opposite has happened. See, e.g., Barak Richman, Will Mitchell, Elena Vidal, & Kevin Schulman, Pharmaceutical M&A Activity: Effects on Prices, Innovation, and Competition, 48 Loyola U. Chi. L.J. 799 (2017) (“Our review of data measuring pharmaceutical innovation, however, tells a different story. First, even as merger activity in the United States increased over the past ten years, there has been a steady upward trend of FDA approvals of new molecular entities (“NMEs”) and new biological products (“BLAs”). Hence, the industry has been highly successful in bringing new products to the market.”).

[15] Henry G. Manne, Mergers and the Market for Corporate Control, 73 J. Pol. Econ. 110 (1965).

[16] See Harold Demsetz, Information and Efficiency: Another Viewpoint, 12 J.L. Econ. 1, 22 (1969) (“The view that now pervades much public policy economics implicitly presents the relevant choice as between an ideal norm and an existing “imperfect” institutional arrangement. This nirvana approach differs considerably from a comparative institution approach in which the relevant choice is between alternative real institutional arrangements.”).

[17] Cunningham et al., supra note 7, at 692 (“Given these assumptions and estimates, what would the fraction ν of pure killer acquisitions among transactions with overlap have to be to result in the lower development of acquisitions with overlap (13.4%)? Specifically, we solve the equation 13.4% = ν × 0 + (1 − ν) × 17.5% for ν which yields ν = 23.4%. Therefore, we estimate that 5.3% (= ν × 22.7%) of all acquisitions, or about 46 (= 5.3% × 856) acquisitions every year, are killer acquisitions. If instead we assume the non-killer acquisitions to have the same development likelihood as non-acquired projects (19.9%), we estimate that 7.4% of acquisitions, or 63 per year, are killer acquisitions.”).

[18] See Value of Mergers and Acquisitions (M&A) Worldwide from 1985 to 2020, Statista (Jan. 15, 2021), https://www.statista.com/statistics/267369/volume-of-mergers-and-acquisitions-worldwide. See Gross Domestic Spending on R&D, OECD (last visited Apr. 29, 2021) https://data.oecd.org/rd/gross-domestic-spending-on-r-d.htm.

[19] See supra note 14.

[20] Running the antitrust system is itself a cost to society.

[21] See, e.g., Olivier E. Williamson, Economies as an Antitrust Defense: The Welfare Tradeoffs, 58 Am. Econ. Rev. 18 (1968). See also, Easterbrook, supra note 13; Henry G. Manne, supra note 15; William M Landes & Richard A Posner, Market Power in Antitrust Cases, 94 Harv. L. Rev. 937 (1980).

[22] Easterbrook, id., at 14.

[23] See Easterbrook, id., at 17 (“The task, then, is to create simple rules that will filter the category of probably beneficial practices out of the legal system, leaving to assessment under the Rule of Reason only those with significant risks of competitive injury.”).

[24] Id. at 15 (“They should adopt some simple presumptions that structure antitrust inquiry. Strong presumptions would guide businesses in planning their affairs by making it possible for counsel to state that some things do not create risks of liability. They would reduce the costs of litigation by designating as dispositive particular topics capable of resolution.”).

[25] See Number of Merger and Acquisition Transactions Worldwide from 1985 to 2021, Statista (May 14, 2021), https://www.statista.com/statistics/267368/number-of-mergers-and-acquisitions-worldwide-since-2005.

[26] See 15 U.S.C. §18a (1976). See also, FTC Premerger Notification Office Staff, HSR Thresholds Adjustments and Reportability for 2020, FTC Competition Matters (Jan. 31, 2020), https://www.ftc.gov/news-events/blogs/competition-matters/2020/01/hsr-threshold-adjustments-reportability-2020. See also Council Regulation 139/2004, 2004 O.J. (L 24) 1, 22 (EC).

[27] See Federal Trade Comm’n & U.S. Dep’t of Justice, Hart-Scott-Rodino Annual Report Fiscal Year 2019 (2020), available at https://www.ftc.gov/system/files/documents/reports/federal-trade-commission-bureau-competition-department-justice-antitrust-division-hart-scott-rodino/p110014hsrannualreportfy2019_0.pdf. See also, European Commission, Merger Statistics, 21 September 1990 to 31 December 2020 (2021), available at https://ec.europa.eu/competition/mergers/statistics.pdf.

[28] See FTC and European Commission, id.

[29] See U.S. Dep’t of Justice & Fed. Trade Comm’n, Horizontal Merger Guidelines (2010), U.S. Dep’t of Justice & Fed. Trade Comm’n, Vertical Merger Guidelines (2020). See also Commission Guidelines on the Assessment of Non-Horizontal Mergers Under the Council Regulation on the Control of Concentrations Between Undertakings, 2008 O.J. (C 265) 6, 25.

[30] See Federal Trade Commission & U.S. Department of Justice, Antitrust Guidelines for the Licensing of Intellectual Property 15 (Jan. 12, 2017) (“The existence of a horizontal relationship between a licensor and its licensees does not, in itself, indicate that the arrangement is anticompetitive. Identification of such relationships is merely an aid in determining whether there may be anticompetitive effects arising from a licensing arrangement.”). See also European Commission, Communication from the Commission—Guidance on the Commission’s Enforcement Priorities in Applying Article 82 of the EC Treaty to Abusive Exclusionary Conduct by Dominant Undertakings, O.J. C. 45, 7–20 (Feb. 24, 2009).

[31] See Antitrust Guidelines for the Licensing of Intellectual Property, id. See also, Commission Guidelines on Vertical Restraints, 2010 O.J. (C 130) 1, 46, available at https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52010XC0519(04)&from=EN.

[32] Easterbrook, supra note 13, at 15.

[33] It requires only limited government resources to function, compared to, for example, a system that reviews every merger in detail.

[34] Companies can self-assess whether their mergers are likely to be struck down by authorities and adapt their investment decisions accordingly.

[35] Even in-depth merger investigations are typically concluded within months, rather than years.

[36] See Demsetz, supra note 16, at 1 (“The view that now pervades much public policy economics implicitly presents the relevant choice as between an ideal norm and an existing “imperfect” institutional arrangement. This nirvana approach differs considerably from a comparative institution approach in which the relevant choice is between alternative real institutional arrangements.”).

[37] See Cunningham et al., supra note 7; Zingales et al., supra note 7; Kevin A Bryan & Erik Hovenkamp, Antitrust Limits on Startup Acquisitions, 56 Rev. Indus. Org. 615 (2020); Mark A. Lemley & Andrew McCreary, Exit Strategy, Stanford Law and Economics Working Paper No. 542 (2020), available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3506919.

[38] See Cunningham et al., id. at 650 (“We argue that an incumbent firm may acquire an innovative target and terminate the development of the target’s innovations to preempt future competition. We call such acquisitions ‘killer acquisitions,’ as they eliminate potentially promising, yet likely competing, innovation.”).

[39] See, e.g., Axel Gautier & Joe Lamesch, Mergers in the Digital Economy, Info. Econ. & Pol’y (2000) (“There are three reasons to discontinue a product post-acquisition: the product is not as successful as expected, the acquisition was not motivated by the product itself but by the target’s assets or R&D effort, or by the elimination of a potential competitive threat. While our data does not enable us to screen between these explanations, the present analysis shows that most of the startups are killed in their infancy.”).

[40] John M. Yun, Potential Competition, Nascent Competitors, and Killer Acquisitions, in GAI Report on the Digital Economy (Ginsburg & Wright, eds. 2000).

[41] See Zingales et al. supra note 7.

[42] See, e.g., Kevin Caves & Hal Singer, When the Econometrician Shrugged: Identifying and Plugging Gaps in the Consumer-Welfare Standard, 26 Geo. Mason L. Rev. 396 (2018) (“Or imagine the platform was appropriating or “cloning” app functionality into its basic service. The only potential harm in this instance would be that independent edge providers would be encouraged to exit or discouraged from entering in future periods. In theory, edge providers might be discouraged to compete in the app space given what they perceive to be a slanted playing field.”).

[43] See, e.g., Eric Fruits, Justin (Gus) Hurwitz, Geoffrey A. Manne, Julian Morris, & Alec Stapp, Static and Dynamic Effects of Mergers: A Review of the Empirical Evidence in the Wireless Telecommunications Industry, OECD Directorate for Financial and Enterprise Affairs Competition Committee, Global Forum on Competition, DAF/COMP/GF(2019)13 (Dec. 6, 2019) at ¶ 61, available at https://one.oecd.org/document/DAF/COMP/GF(2019)13/en/pdf (“Studies that do not consider these [non-price] effects are incomplete for purposes of evaluating the mergers’ consumer welfare effects, and [are] all-too-easily used by advocates to misleadingly predict negative consumer outcomes. This is not necessarily a criticism of the studies themselves, which generally do not make comprehensive policy conclusions. The reality is that it is exceptionally difficult to comprehensively study even price effects, such that a well-conducted study of price effects alone is a valuable contribution to the literature. Nevertheless, in the context of evaluating prospective transactions, the results of such studies must be discounted to account for their exclusion of non-price effects.”).

[44] Luís Cabral, Merger Policy in Digital Industries, CEPR Discussion Paper No. DP14785 (May 2020) at 12, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3612854.

[45] See Carl Shapiro, Antitrust in the Time of Populism, 61 Int’l J. Indus. Org. 714 (2018).

[46] See Henry G. Manne, supra note 15.

Regulatory Comments

Turkey

The View from Turkey: A TOTM Q&A with Kerem Cem Sanli

How did you come to be interested in the regulation of digital markets?

I am a full-time professor in competition law at Bilgi University in Istanbul. I first became interested in the application of competition law in digital markets when a PhD student of mine, Cihan Dogan, wrote his PhD thesis on the topic in 2020. We later co-authored a book together (“Regulation of Digital Platforms in Turkish Law”). Ever since, I have been following these increasingly prominent issues closely.

Read the full piece here.

TOTM

United Kingdom

Competition Confusion in the UK

UK Member of Parliament (former Conservative Party Cabinet Minister) Kit Malthouse published an essay in CapX earlier this month titled “We need a competition revolution.” I, of course, completely agree that competition is vitally important to any economy, and the UK has been struggling with productivity and growth challenges that may be linked to competition issues. But as I read Malthouse’s piece, I found myself increasingly disillusioned.

Rather than take an evidence-based, market-oriented approach, Malthouse paints a dire picture of rampant monopolization across British industries: “we see the same pattern: a handful of dominant firms controlling vast swathes of the economy, shutting out competition and stifling innovation.”

Malthouse’s argument suffers from two fundamental problems: it is wrong on the evidence, and it is wrong on the economy theory. Besides that, it is not a bad piece.

Read the full piece here.

TOTM

ICLE Comments on the CMA’s Provisional Findings on the Cloud Services Market

Introduction

We appreciate the opportunity to respond to the Competition and Markets Authority’s (CMA) provisional findings in its investigation of the cloud-services market.[1] We urge the CMA not to finalize these findings in their current form, or at least to revise them, for the reasons set forth below.

As our comments explain, several aspects of the market and the analysis thereof warrant reconsideration. Among these, we would highlight that market concentration alone is a poor proxy for competitive harm; the cloud sector is characterized by dynamic competition and innovation that a static analysis overlooks; high profitability does not equate to an absence of competition in a contestable market; and the provisional concerns over egress fees and technical barriers may undervalue legitimate business justifications and competitive context. Finally, we caution that the proposed remedies—particularly, the choice to designate certain firms as holding strategic market status (SMS)—appear to be disproportionate and unsupported by the evidence, and potentially to harm the very competition and innovation the CMA seeks to protect.

I. Market Concentration Is Not a Reliable Proxy for Expected Competitive Harm

The CMA’s provisional report emphasizes the high concentration in UK cloud-infrastructure services—a “two-horse race” dominated by Amazon Web Services Inc. (AWS) and Microsoft Corp. Even if these presumptive market shares were accurate, concentration metrics are not by themselves evidence of competitive harm or consumer detriment. Market share and Herfindahl-Hirschman Index (HHI) figures offer, at best, a starting point for analysis, not a conclusion. High concentration can arise for pro-competitive reasons—e.g., a firm offering a superior product or greater efficiency—and market structure is not outcome-determinative. In other words, a concentrated market can still be vigorously competitive, and conversely, a less-concentrated market could be uncompetitive due to tacit coordination or other factors.

The assumption that “too much” concentration is harmful assumes both that a market’s structure is what determines economic outcomes, and that it is possible to know what the “right” amount of concentration is. As economists have understood since at least the 1970s (and despite an extremely vigorous, but futile, effort to show otherwise), market structure does not determine economic outcomes.[2]

Once perfect knowledge of technology and price is abandoned, [competitive intensity] may increase, decrease, or remain unchanged as the number of firms in the market is increased.… [I]t is presumptuous to conclude… that markets populated by fewer firms perform less well or offer competition that is less intense.[3]

This view is well-supported and is held by scholars across the political spectrum.[4] The absence of correlation between increased concentration and either anticompetitive causes or deleterious economic effects is also demonstrated by a recent influential empirical paper from Sharat Ganapati. Ganapati finds that the increase in industry concentration in U.S. non-manufacturing sectors between 1972 and 2012 was “related to an offsetting and positive force—these oligopolies are likely due to technical innovation or scale economies. [The] data suggests that national oligopolies are strongly correlated with innovations in productivity”.[5] In the end, Ganapati found, increased concentration resulted from beneficial growth in firm size in productive industries that “expand[s] real output and hold[s] down prices, raising consumer welfare, while maintaining or reducing [these firms’] workforces”.[6] Sam Peltzman’s research on increasing concentration in manufacturing finds that it has, on average, been associated with both increased productivity growth and widening margins of price over input costs. These two effects offset each other, leading to “trivial” net price effects.

Further, the presence of harmful effects in industries with increased concentration cannot be readily extrapolated to other industries. Thus, while some studies have plausibly shown that an increase in concentration in a particular case has led to higher prices (which has been found true in only a minority of the relevant literature), assuming the same result from an increase in concentration in other industries or other contexts is simply not justified:

The most plausible competitive or efficiency theory of any particular industry’s structure and business practices is as likely to be idiosyncratic to that industry as the most plausible strategic theory with market power.[7]

As Chad Syverson aptly summarized:

Perhaps the deepest conceptual problem with concentration as a measure of market power is that it is an outcome, not an immutable core determinant of how competitive an industry or market is… As a result, concentration is worse than just a noisy barometer of market power. Instead, we cannot even generally know which way the barometer is oriented.[8]

In other words, depending on the nature and dynamics of the market in question, competition may well be protected under conditions that preserve a certain number of competitors in the relevant market. But competition may also be protected under conditions in which a single winner takes all on the merits of their business.[9] It is reductive (and bad policy) to presume that a certain number of competitors is always and everywhere conducive to better economic outcomes, or indicative of anticompetitive harm.

None of this means that concentration measures have no use in competition policy. Instead, it demonstrates that market concentration is often unrelated to competition because it may arise from factors endogenous to each industry.

This body of literature suggests that the CMA should not presume harm to competition merely from AWS and Microsoft holding large market shares. Instead, the more pertinent question is whether those shares stem from exclusionary conduct or from superior efficiency, innovation, and investment.

II. Dynamic Competition in Cloud Services (A Static View Misses the Mark)

One misconception about cloud computing is that it is a novel technology dominated by the “big three” companies of Amazon, Google, and Microsoft, or even more narrowly in the CMA’s findings, as a “two-horse race” dominated by AWS and Microsoft. In fact, cloud computing is merely one component of information-technology (IT) services, which used to be provided exclusively on-premises. Investments in cloud computing still represent a small portion of global IT spending, with one report putting the total at 7%,[10] while another suggests it might be as much as 12%.[11] Whatever the precise figure, there clearly remains a sizeable opportunity for the sector to grow.

It is also important to remember that, before the advent of cloud computing, the IT landscape was dominated by an entirely different set of players, some of which—including IBM, Hewlett-Packard, and Oracle—remain prominent today. It is therefore critical to acknowledge that cloud services have not replaced these entities but have instead expanded the market and introduced new competitors and service offerings.

If we narrow our focus from all cloud-computing services to one of its three layers—such as infrastructure as a service (IaaS), we can see that the sector is teeming with competition. Numerous competitors—including Amazon, Google, Alibaba, Microsoft, IBM, OVHcloud, Digital Ocean, Oracle, Deutsche Telekom, Huawei, and others—all vie for consumers. According to industry reports, in 2021 alone, these competitors showcased remarkable growth, with Microsoft growing by 51%, Alibaba by 42%, Google by 64%, and Huawei by 56%.[12]

Amid this robust competition, the dominance of established players like AWS has been declining. According to Gartner data for IaaS, AWS’ market share dipped from 45% in 2019[13] to 39% in 2021,[14] signalling a continuing evolution in the industry’s competitive dynamics. If we expand the market and look at IaaS, platform as a service (PaaS), and hosted private-cloud services (a subset of IaaS), Amazon’s market share has been steady, while Microsoft and Google have made huge gains in the past few years (see Figure 1 below).[15]

FIGURE 1: Cloud Provider Share of Worldwide Revenues Trend (IaaS, PaaS, Hosted Private Cloud)

SOURCE: Synergy Research Group

This is exactly the sort of dynamics we would expect from a vibrant industry: some firms succeed in one part of the market but not in another, while precise market shares shift around.

It is important to note that these “shares” are for the broad, colloquial sense of “a market”, and not for a relevant market in the antitrust sense. But even assuming, for the sake of argument, that it was a relevant market, concentration would not appear to be a concern. According to Synergy Group’s Q1 2023 numbers for IaaS: Amazon had 32% market share, with Microsoft at 23%, Google at 10%, Alibaba at 4%, and IBM at 3%.[16]

If we consider all other firms in the market to be a single entity, the highest possible HHI for this market (a proxy for all cloud computing) would be 2,462. Even though that is a large overestimate of the true market concentration, it still produces an HHI that is in the “moderately concentrated” range, according to the 2010 U.S. Merger Guidelines,[17] although the CMA’s guidance puts that as “highly concentrated”.[18] If the remaining 28% of the market were divided up among 28 firms, the HHI would drop to 1,706. But neither of these figures account for the vast swath of IT spending that occurs outside the cloud, which suggests that competition in the market is far more vigorous than the HHI would imply.

These simple calculations differ slightly from the CMA’s, which suggest higher concentration. According to the CMA’s provisional findings, AWS held a market share of 40% to 50% in the IaaS segment, while Microsoft accounted for 30% to 40% and Google for 5% to 10%.[19] The highest possible HHI for this market—assuming all “other” providers were a single entity—would exceed 3,000, classifying the market as “highly concentrated” under the CMA’s guidelines.

By contrast, it is difficult even to conceive of the software-as-a-service (SaaS) layer of cloud computing as a “market” in any meaningful sense. SaaS comprises an extremely varied set of productivity and collaboration tools, such as Microsoft Office 365, Google Workspace (formerly G Suite), and Slack; content-management systems (CMS) like WordPress, Wix, and Squarespace; video-conferencing and communication platforms, such as Zoom, Microsoft Teams, and Slack; and cloud-gaming platforms like Microsoft xCloud and PlayStation Now. Like IaaS, SaaS has experienced dramatic expansion, with more than 30,000 providers in operation. Major players include most of the already-mentioned companies, as well as industry giants like Cisco, Dell, Salesforce, Databricks, Heroku, Snowflake, Adobe, and Atlassian, among others.

Furthermore, customers are not locked into a single provider in the way the static model assumes. In practice, businesses adopt multi-cloud and hybrid-cloud strategies to optimize cost, performance, and resilience. According to industry surveys, 70% of cloud-using companies rely on multiple cloud providers simultaneously.[20] This ability to “multi-home”—to spread workloads across AWS, Azure, Google Cloud, and others—mitigates the risk of any one provider holding customers captive.

The competitive dynamics extend beyond market share to innovations in the fundamental infrastructure. Cloud providers compete vigorously through custom silicon development, with companies investing heavily in proprietary chips optimized for specific workloads. This hardware-level competition drives performance improvements and cost efficiencies that benefit customers, while continuing to allow for multi-cloud strategies that prevent lock-in.[21]

Indeed, the ease of multi-homing and switching among providers indicates that compatibility issues and switching costs, while not zero, are not insurmountable barriers in practice. Many cloud services adhere to common standards (e.g., Linux environments, containerization, open-source databases), enabling customers to migrate or balance workloads flexibly. The CMA’s static analysis underestimates how these dynamic competitive pressures discipline even the largest providers. A cloud firm that attempts to raise prices or degrade quality risks encouraging its customers to shift more workloads to rivals—a process made easier by the industry’s interoperability tools and multi-cloud management practices.

In sum, the cloud-services market is dynamically competitive, with constant entry, expansion, and technological leaps. Market shares today do not guarantee market shares tomorrow. The CMA’s provisional findings, however, seem to give more weight to static concentration measures than to the “rapidly evolving cloud market” characterized by product differentiation, innovation, and new startups entering the fray. We urge the CMA to incorporate a dynamic analysis: one that recognizes the recent dramatic fall in prices for cloud services, alongside an explosion in offerings; the exponential growth of the SaaS layer, with tens of thousands of providers; and the ongoing race among firms to provide better, more specialized services. This dynamic competition is delivering real benefits to customers and is likely to continue to do so without heavy-handed intervention.

III. Profitability Above Cost of Capital Does Not Equate to a Lack of Competition

The provisional report notes that the leading providers (AWS and Microsoft) have returns on capital employed (ROCE) consistently above their weighted average cost of capital (WACC), implying sustained “excess” profits.[22] While this observation is factually correct, we caution against interpreting it as evidence of an enduring competition problem. Profitability alone—even robust profitability—is not proof of market power in a dynamic, contestable market. There are several reasons why a high ROCE versus WACC could be observed even in a competitive environment, especially in technology markets:

  1. Recovery of sunk investments: Cloud providers have invested tens of billions of dollars in data centres, network infrastructure, and R&D for new services. If they succeed in providing valued services, they must earn returns above the cost of capital to justify those risky, upfront investments. A period of returns above WACC can simply indicate that a firm is recouping its past investment and compensating for the risk undertaken, not that it faces no competition.
  2. Innovation and transient advantage: In a dynamic market, a firm that innovates successfully may enjoy a transient competitive advantage—a reward for innovation—until rivals catch up. Economic theory recognizes that competitive markets eventually drive profits toward the cost of capital, but it provides little guidance on how long profits might persist in dynamic industries in which economic profits are needed to induce firms to invest in risky innovation. In cloud services, new innovations (g., AI-as-a-service, advanced databases, edge computing) can generate returns for the innovator, but these returns invite entry or imitation, eroding the advantage over time.
  3. Contestable market pressures: Even if AWS and Microsoft currently earn large margins, the threat of entry or expansion can constrain their behaviour. Cloud computing has low customer lock-in (as noted, many customers multi-home) and enormous growth potential, which attracts ongoing entry by firms like Oracle, IBM, and niche players. In a contestable market, “deep-pocketed investors will finance entrants and compete away profits” if incumbents start earning monopoly rents.[23] The presence of high profits is as much a sign of a healthy, innovation-driven market as it is a cause for concern.

Crucially, there is no direct line from “ROCE > WACC” to “consumer harm”. Even the CMA’s past analyses have acknowledged that “a finding that ROCE is higher than the WACC is not in itself indicative of a competition problem” and that an innovative firm may earn higher returns for the period that it maintains a competitive edge.[24] We believe that principle applies here. The cloud market’s growth and falling prices suggest that high returns are a reward for efficiency and innovation, not the result of exploiting consumers. Notably, cloud customers (from startups to large enterprises) have seen tremendous value. In many cases, cloud services have reduced their IT costs or enabled new functionality that was not possible before. These consumer benefits are hard to square with a narrative of harm.

Finally, we note that the CMA’s reliance on a textbook ROCE vs. WACC analysis may be ill-suited for a rapidly evolving technology sector. Treating cloud firms’ profitability as one would a utility’s returns fails to reflect dynamic competition. Such an approach might be appropriate for mature industries like energy or water but is off the mark for a market driven by innovation and continual change. High accounting profits in cloud services should invite further inquiry, not presumptions about the presence of anticompetitive harms. The key question should be whether those profits are sustained by excluding competition or by delivering a superior service in a competitive race. The evidence favours the latter interpretation.

IV. Egress Fees and Technical Barriers in Context

The CMA’s provisional findings raise concerns that certain practices by the leading providers—notably, data-egress fees (charges for transferring data out of a cloud) and technical frictions—function as barriers to switching, thereby harming competition. We agree that switching costs deserve scrutiny but urge the CMA to consider the broader context and justifications for such practices, as well as the evidence that customers frequently mitigate switching costs through multi-cloud strategies.

Egress fees are often portrayed as “extraction” mechanisms to lock in customers, but they have a cost basis and a competitive function. Neither Amazon,[25] nor Google,[26] nor Microsoft[27] charge anything for data ingress (uploading data into the cloud)—even though accepting and storing incoming data is not free for them. Cloud providers instead recoup the costs of moving data through egress fees, including fees for moving within one provider or to somewhere else on the internet.

Beyond explicit egress charges for switching providers, policymakers may be concerned about other compatibility costs that could generate consumer lock-in. This is not a significant issue for pure data storage or computing power. The major cloud providers allow users to run programs on open-source Linux instances. As one moves further from the commodity-like products of storage and computing, however, the switching costs become more real, depending on which precise services customers use.

For example, for video editing, whether one is using editing software on one’s local machine or through cloud services, all the major editing software will input and output standardized files. If you are in the middle of an edit, however, that file format is often unique. Is that a switching cost? Probably not in any sense that is relevant to the CMA, but it is on par with the switching costs experienced once one enters a grocery store. The competitive pressures are to attract customers to enter the store, or to start using the software.

For less-trivial examples, one could worry about the costs to a large company of switching from one cloud SQL-database (part of the PaaS layer) provider to another—e.g., from Amazon RDS to Microsoft Azure. SQL itself is not “open source” in the way that a software application or operating system might be. There are, however, numerous database systems that utilize SQL, and many of these are open source. Examples include MySQL, PostgreSQL, and SQLite; all are open-source relational database-management systems that use SQL as their standard language. Conversely, there are also proprietary, closed-source database systems that use SQL, such as Microsoft SQL Server and Oracle Database. Again, no matter the system, changing providers is not as easy as flipping a light switch or dragging and dropping files on Google Drive.

Technical compatibility and data portability are also important considerations. The CMA’s provisional findings suggest that proprietary technologies and complex architectures can make it difficult for customers to switch between clouds, thus reinforcing incumbents’ market positions.[28] There is truth to the notion that moving a complex application from one cloud platform to another is not trivial. This must, however, be viewed within the proper context: switching core cloud functions is far easier than in the pre-cloud era, and many industry standards and open-source tools exist to minimize lock-in.

But we must always ask, compared to what? Changes to major IT operations have always been costly. Transferring substantial troves of data is costly, as noted above. That is why companies have dedicated, full-time IT staff to handle such issues. Putting something on the cloud does not magically make it free to do whatever one wants, but cloud computing does expand the number of choices for any product available to customers.

In the pre-cloud world, businesses running their own IT faced much higher switching costs—e.g., changing one’s internal IT architecture or migrating from one on-premises software vendor to another was often a multi-year project with huge costs. Cloud computing has, in many respects, lowered the barriers to switching by standardizing infrastructure and offering migration services. It is true that changing providers is not as easy as flipping a light switch, but it was never so simple in enterprise IT. The relevant question is whether today’s leading cloud firms impose unreasonable or anticompetitive barriers, beyond the inherent complexities of technology transitions.

While the above discussion frames such questions as an either/or decision, many users “multi-home” or use multiple providers. According to one survey, 70% of companies that use cloud providers use multiple providers.[29] This flexibility allows customers to cherry-pick services from various providers and assign different providers for distinct workloads. Such an approach inherently amplifies the level of competition in the cloud industry. Again, it is worth contrasting this with on-premises IT services. The apparent ease of multi-homing suggests that other compatibility issues are not a major hindrance to competitive pressures, and that there is still robust competition for consumers.

Finally, we suggest the CMA consider the business and innovation rationale behind proprietary technologies. Many of the features that differentiate cloud providers (and deliver value to customers) come from technical innovations that inherently are not carbon copies of each other’s offerings. One provider might offer an innovative AI toolkit or a unique database solution that others lack. These differences benefit customers (who can choose the service that best fits their needs), even where it means that switching those services might involve some retraining or data conversion. Over time, competing firms will tend to respond by developing similar capabilities or adopting interoperability standards once they emerge. Interventions in this area should be careful not to inadvertently stifle the incentive to develop improved cloud services. Mandating too much uniformity or zero switching costs could homogenize offerings and chill investment in differentiated features.

V. Proprietary Chips: A Dimension of Cloud Competition

The CMA’s provisional findings suggest that certain “technical barriers”, including proprietary hardware, may create switching costs that deter customers from migrating among cloud providers.[30] It also raises concerns that such features create the need for new skills in order to “plan, remap, rework and test workloads”.[31] As the CMA acknowledges elsewhere, however, “[t]his custom approach enables systems-level optimisation and hence lowering of costs”.[32] Where such differentiation occurs, it is just as likely a feature of competition, rather than an insurmountable lock-in mechanism.

Differentiated hardware, it should be noted, is not unique to cloud computing. It is, rather, a prevalent feature across a multitude of tech-driven industries. Industries ranging from consumer electronics to telecommunications routinely use proprietary chips to deliver enhanced functionality or efficiencies, rather than creating an insurmountable barrier that deters customers from switching. It is essential to recognize that, rather than invariably leading to anticompetitive outcomes, these hardware innovations spur rival firms to invest in research and development, aiming to keep pace with or surpass the latest performance benchmarks. Cloud customers, in turn, benefit from an ongoing arms race in which providers compete on metrics such as throughput, energy efficiency, and workload-optimized features. In other words, the existence of custom chips is often a manifestation of vigorous competition at the infrastructure level, rather than an indicator of insurmountable lock-in.

Moreover, multi-cloud and hybrid-cloud strategies undermine the assumption that proprietary chips create universal lock-in.[33] Enterprises often distribute workloads based on each provider’s relative strengths. For instance, a firm may run standard workloads on a general-purpose CPU platform, while allocating AI-training jobs to whichever provider currently offers the best GPU or specialized accelerator. Because these strategies are becoming the norm, proprietary chips serve as a competitive differentiator, rather than a blanket barrier. When one provider’s custom silicon proves superior or more cost-effective, businesses may place incremental workloads there, but they are not unavoidably trapped.

Finally, the dynamic, innovation-intensive nature of cloud computing further reduces the likelihood that proprietary hardware will entrench incumbents over the long run. As the CMA recognizes, cloud-service providers continually introduce new instance types and hardware generations.[34] Even if a particular chip confers a temporary advantage, competitors can respond by partnering with third-party chipmakers or creating their own designs. If any custom silicon fails to keep pace, customers can shift to a rival’s more advanced hardware. The result is a race to innovate, benefiting consumers in the form of faster compute times, lower costs, and better energy efficiency.

In short, while custom silicon may indeed make some forms of switching more complex, it is primarily a hallmark of competition, rather than an insurmountable lock-in mechanism. Restricting the use or development of proprietary chips could inadvertently stifle the very innovation that has propelled cloud computing forward. We encourage the CMA to distinguish carefully in its final report between hardware-led differentiation that intensifies rivalry and any proven, artificial barriers to customer mobility. A policy approach that conflates all proprietary hardware with anticompetitive lock-in risks undermining future innovation—potentially to the detriment of UK businesses that rely on the cloud’s evolving capabilities.

VI. Proportionality of Proposed Remedies

Most importantly, we urge the CMA to carefully evaluate whether the proposed remedies—in particular, designating certain providers as SMS under the Digital Markets, Competition and Consumers Act (DMCC) regime—are appropriate and proportionate to the issues identified. Even if one accepts that there are competition concerns in the UK cloud-services market, the remedies must be narrowly tailored and evidence-based. Imposing broad behavioural obligations or regulatory oversight via an SMS designation is a far-reaching step that could reshape the incentives in this dynamic sector.

We have two primary concerns regarding the provisional remedies:

  1. Risk of overregulation: Labelling AWS and Microsoft as having “strategic market status” would trigger a set of pro-competitive conduct requirements. While ensuring fair play is important, an SMS designation would effectively treat these firms as enduring gatekeepers of a market “tipped” in their favour. We question whether that characterization is fully justified in the cloud-services context. As discussed, the cloud market is still evolving, and today’s dominance might be eroded by tomorrow’s innovation. Heavy-handed regulation of the leading firms could inadvertently slow the very innovation and price competition that has benefitted customers. The multitude of service options and strategies available to consumers mean that cloud providers are not absolute gatekeepers in the way that, say, a monopoly telecom operator might be. Treating them as such could lead to onerous rules (g., strict controls on pricing, bundling, or interoperability) that may have unintended consequences. These could include raising compliance costs, discouraging experimentation with new business models, or even prompting providers to pull back from the UK market. Any remedy should be proportionate to demonstrated harms, not speculative ones.
  2. Targeted issues versus broad designation: The CMA’s own findings identify specific practices of concern—g., egress fees, certain discount structures, and potential software-licensing restrictions. If these are, indeed, problematic under a competition lens, targeted interventions might be possible without the need for an all-encompassing SMS designation. The principle of proportionality should lead the CMA to choose the least-intrusive remedy that effectively addresses the competitive concern. Given the robust competition and positive outcomes observed in cloud services (falling prices, expanding output, innovation), drastic measures like SMS designation appear difficult to justify.

It bears emphasizing that regulatory remedies are not without tradeoffs. An SMS designation and attendant rules could cement the positions of current leaders by making the market less attractive for challengers (who might prefer to compete in a lightly regulated environment). It could also constrain how the leading firms compete. For example, certain discounting practices or service integrations might be banned, even if they are beneficial to customers. We encourage the CMA to first consider less-interventionist approaches, allowing the market to self-correct or monitoring for a longer period, especially since cloud computing remains in a growth phase. Interventions into a market that is delivering a bright future of innovation and falling costs should be made only on compelling evidence of harm and with remedies likely to improve consumer welfare net of costs.

In summary, an SMS designation and similar measures under the DMCC are powerful tools intended for clear-cut cases of entrenched market power. The cloud-services market, in our view, does not present such a clear-cut case; it is competitive and evolving, not ossified. We respectfully submit that the CMA should either refrain from imposing the proposed SMS-based remedies or narrow their scope significantly. At minimum, before adopting such remedies, the CMA should ensure that the final report demonstrates, with rigorous evidence, that lighter-touch solutions would be insufficient and that the benefits of intervention outweigh the costs. As it stands, the provisional findings do not make that case convincingly.

[1] CMA Cloud Services Market Investigation Provisional Findings, Compet. Mark. Auth. (28 January 2025), [hereinafter: “CMA Provisional Findings”].

[2] See Harold Demsetz, Industry Structure, Market Rivalry, and Public Policy, 16 J.L. & Econ. 1 (1973).

[3] Harold Demsetz, The Intensity and Dimensionality of Competition, in Harold Demsetz, The Economics of The Business Firm: Seven Critical Commentaries 137, 140-41 (1995).

[4] See, e.g., Richard Schmalensee, Inter-Industry Studies of Structure and Performance, in 2 Handbook of Industrial Organization 951-1009 (Richard Schmalensee & Robert Willig, eds., 1989); William N. Evans, Luke M. Froeb, & Gregory J. Werden, Endogeneity in the Concentration-Price Relationship: Causes, Consequences, and Cures, 41 J. Indus. Econ. 431 (1993); Steven Berry, Market Structure and Competition, Redux, FTC Micro Conference (November 2017), available at https://www.ftc.gov/system/files/documents/public_events/1208143/22_-_steven_berry_keynote.pdf; Nathan Miller et al., On the Misuse of Regressions of Price on the HHI in Merger Review, 10 J. Antitrust Enforcement 248 (2022).

[5] Sharat Ganapati, Growing Oligopolies, Prices, Output, and Productivity, 13(3) Am. Econ. J. Microecon. 309-327, 324 (August 2021).

[6] Id., at 309.

[7] Timothy F. Bresnahan, Empirical Studies of Industries with Market Power, in Handbook of Industrial Organization, 1011, 1053-54 (Richard Schmalensee & Robert Willig, eds., 1989).

[8] Chad Syverson, Macroeconomics and Market Power: Context, Implications, and Open Questions, 33(3) J. Econ. Perspect. 23-43, 26 (2019).

[9] Nicolas Petit & Lazar Radic, The Necessity of the Consumer Welfare Standard in Antitrust Analysis, ProMarket (18 December 2023), https://www.promarket.org/2023/12/18/the-necessity-of-a-consumer-welfare-standard-in-antitrust-analysis.

[10] Bill Whyman, Secrets from Cloud Computing’s First Stage: An Action Agenda for Government and Industry, Inf. Technol. Innov. Found. (1 June 2021), https://itif.org/publications/2021/06/01/secrets-cloud-computings-first-stage-action-agenda-government-and-industry.

[11] Glenn Solomon, The Cloud Is Still a Multibillion-Dollar Opportunity. Here’s Why, Forbes (4 January 2023), https://www.forbes.com/sites/glennsolomon/2023/01/04/the-cloud-is-still-a-multibillion-dollar-opportunity-heres-why.

[12] Press Release, Gartner Says Worldwide IaaS Public Cloud Services Market Grew 41.4% in 2021, Gartner (2 June 2022), https://www.gartner.com/en/newsroom/press-releases/2022-06-02-gartner-says-worldwide-iaas-public-cloud-services-market-grew-41-percent-in-2021.

[13] Id.

[14] Id.

[15] Cloud Spending Growth Rate Slows But Q4 Still Up By $10 Billion from 2021; Microsoft Gains Market Share, Synergy Res. Group (6 February 2023), https://www.srgresearch.com/articles/cloud-spending-growth-rate-slows-but-q4-still-up-by-10-billion-from-2021-microsoft-gains-market-share.

[16] Felix Richter, Big Three Dominate the Global Cloud Market, Statista (28 April 2023), https://www.statista.com/chart/18819/worldwide-market-share-of-leading-cloud-infrastructure-service-providers.

[17] Horizontal Merger Guidelines, §5.3, U.S. Dep. Justice & Fed. Trade Comm. (2010).

[18] CC3 (Revised), Guidelines for Market Investigations: Their Role, Procedures, Assessment, and Remedies (CC3, Annex A, paragraph 7).

[19] CMA Provisional Findings, supra note 1 at Table 3.1.

[20] 2023 State of the Cloud Report, Flexera, https://info.flexera.com/CM-REPORT-State-of-the-Cloud#view-report (last visited 17 February 2025).

[21] See infra Section V.

[22] CMA Provisional Findings, supra note 1 at ¶ 3.246.

[23] Laurits Christensen et al., The Challenges of Using Return on Capital as an Indicator of Monopoly Power, Anal. Group (9 December 2020), https://www.analysisgroup.com/Insights/publishing/the-challenges-of-using-return-on-capital-as-an-indicator-of-monopoly-power.

[24] Online Platforms and Digital Advertising Market Study, Appendix D10, Compet. Mark. Auth. (1 July 2020), https://www.gov.uk/cma-cases/online-platforms-and-digital-advertising-market-study.

[25] Amazon S3 pricing, Amazon, https://aws.amazon.com/s3/pricing (last visited 13 February 2025).

[26] Bandwidth Pricing, Azure, https://azure.microsoft.com/en-us/pricing/details/bandwidth (last visited 13 February 2025).

[27] All Network Pricing, Google Cloud, https://cloud.google.com/vpc/network-pricing (last visited 13 February 2025).

[28] CMA Provisional Findings, supra note 1 at ¶ 8.51.

[29] 2023 State of the Cloud Report, Flexera, https://info.flexera.com/CM-REPORT-State-of-the-Cloud#view-report (last visited 15 June 2023).

[30] CMA Provisional Findings, supra note 1 at Ch. 5 (discussing technical barriers and proprietary technology as potential impediments to competition).

[31] Id. at ¶ 5.112.

[32] Id. at ¶ 3.397.

[33] Flexera, supra note 20.

[34] CMA Provisional Findings, supra note 1 at ¶ 3.399.

Regulatory Comments

ICLE Comments to UK CMA on Competition in Mobile Ecosystems

I. Introduction

The International Center for Law & Economics (ICLE) appreciates the opportunity to provide comments on the Competition and Markets Authority’s (CMA) investigations into Apple and Google’s mobile ecosystems.

While the CMA’s goal of promoting online competition is laudable, any interventions taken under the Digital Markets, Competition and Consumers Act (DMCC) should be grounded in robust empirical evidence and should consider the dynamic, rapidly evolving nature of the smartphone industry and its underlying markets. There is still a long way to go before the CMA concludes its investigation, but early signs suggest that these prominent features of the mobile industry are currently underappreciated. Indeed, the CMA’s invitation to comment explains that:

Apple and Google hold an effective duopoly in mobile ecosystems. Their control over these increasingly crucial ecosystems means both firms hold powerful positions and can unilaterally determine the ‘rules of the game’, making it difficult for rival businesses such as browsers or alternative app stores to compete.[1]

As our comments explain, however, competition in the mobile industry is far more intense than the CMA’s study recognizes. There are also growing reasons to believe that the costs of intervention are far more significant than is typically acknowledged. Given this, a fundamental change of course is required to ensure that any intervention delivers on the pro-growth agenda that has become a key priority of the UK government.[2]

Against this backdrop, our comments aim to highlight key competitive dynamics in mobile ecosystems, the importance of preserving incentives for innovation, and the need for clear policy objectives.

A. Competition in Mobile Ecosystems

Contrary to the CMA’s conclusion that Apple and Google operate as an entrenched duopoly, the mobile ecosystem is, in fact, characterized by vigorous competition. iOS and Android continuously innovate to differentiate themselves, with Apple prioritizing seamless integration and security, while Android offers openness and customization. This rivalry has resulted in significant advancements in user experience, security, and app-ecosystem development.

Additionally, robust competition is evident in the substantial user churn between iOS and Android. Studies show that up to 20% of users switch platforms within a given period, demonstrating a dynamic and contested market, rather than one suffering from “lock-in”. Data-portability measures, such as Apple’s “Move to iOS” and Google’s “Data Transfer Tool”, further reduce switching costs and enhance consumer choice.

B. The Unintended Consequences of Regulating Mobile Ecosystems

The CMA’s proposed interventions risk causing significant unintended consequences. Similar regulatory efforts in other jurisdictions—such as the European Union’s Digital Markets Act (DMA)—have demonstrated that well-meaning interventions can inadvertently reduce competition and degrade the consumer experience.

Mandated interoperability, for instance, can weaken platform security, exposing users to heightened risks of fraud and data breaches. Furthermore, enforced changes in platform operations, such as choice screens or restrictions on pre-installed applications, have often failed to meaningfully alter market dynamics, while imposing high compliance costs on businesses. Similarly, regulatory constraints on app-distribution models and monetization strategies could disrupt the delicate balance that sustains investment in mobile ecosystems.

In short, rather than imposing sweeping structural interventions, the CMA should adopt a cautious and evidence-based approach that recognizes the competitive and innovative nature of the mobile ecosystem. Overregulation risks distorting market incentives, reducing innovation, and harming consumers. Regulatory measures should be tailored to address demonstrable harms, without undermining the fundamental drivers of competition and technological progress in mobile ecosystems.

II. Strong Competition in Mobile Ecosystems

In its invitation to comment, the CMA explains there is “limited effective competition between iOS and Android”. According to the CMA, this is because there is differentiation between these two ecosystems and, partly as a result, users rarely switch from one operating system to the other. In the CMA’s own words:

The CMA has previously found that once people choose a mobile device, they rarely switch between operating systems.[3]

…The study found that there was limited effective competition between iOS and Android, given the segmentation of the supply of mobile devices and operating systems and that users rarely switch between iOS and Android devices.[4]

But this conclusion overlooks certain important aspects of competition in this space. To be more precise, the fact that few users move from one operating system to the other is not synonymous with a lack of competition. Indeed, as we explain below, modest churn rates—about 15-20%—can be consistent with large contestable market shares and intense competition. This is particularly true when the entry of new users is considered. In simple terms, intense competition is possible without the entire market being contestable, particularly if firms cannot discriminate between contestable and non-contestable users based on price.

Along similar lines, antitrust law & economics scholarship consistently finds that user switching (or the lack thereof) is not, in and of itself, indicative of intense competition (or its absence).[5] Given this, there is insufficient evidence that competition is absent in the smartphone industry, and that iOS and Android should be designated under the DMCC.

A. High Levels of User Churn

One of the most compelling indicators of competition between iOS and Android is the high rate of user churn between the platforms. Contrary to widely held belief, consumers frequently switch between iOS and Android, undermining the notion of ecosystem lock-in.

The CMA’s assertion that there is limited effective competition between iOS and Android rests on an assumption that brand loyalty prevents meaningful switching. The numbers, however, tell a different story. According to the latest data, only 35% of iOS users cite brand as the most important factor in their smartphone choice, compared to 16% for Android users.[6] While this suggests a higher brand attachment for iOS users, it does not imply the absence of competition. Instead, it highlights how consumer preferences are shaped by perceived quality and features. These are factors that both Apple and Android manufacturers actively refine in an effort to attract users.

Another critical aspect of competition is the ability to transfer data and apps across platforms. The CMA acknowledges that modern switching tools mitigate many of these concerns, with only 8% of switchers reporting dissatisfaction with the process.[7] While some barriers to switching may still exist, this is not the only factor that consumers consider.

The CMA’s data indicates that 31% of iOS users and 35% of Android users see no significant benefits in switching operating systems.[8] This does not, however, reflect direct unwillingness to switch, but rather user satisfaction with their current device. In fact, 11% of iOS users and 12% of Android users considered switching when purchasing a new smartphone but ultimately did not[9], demonstrating that competition remains a significant factor in consumer decision-making.

The CMA’s figures also show that iOS primarily targets the premium segment, accounting for 77% of smartphones sold for more than £300 in 2021, while Android holds 100% of the lower-end market (devices sold for £300 or less).[10] While the CMA suggests that iOS and Android largely operate in separate market segments, evidence suggests that competition extends beyond direct price comparisons.

Looking beyond the CMA’s market study, some of the best available data stems from the European Commission’s Google Android decision.[11] This data is now several years old and must therefore be taken with a pinch of salt, but it nonetheless paints a compelling picture of smartphone competition (that runs counter to the Commission’s ultimate conclusions).

According to the Commission’s own numbers, roughly 39% of all smartphone sales are contestable. This comprises both new users without prior brand loyalty (roughly 25% of purchases at the time, although this number is likely lower today), and roughly 20% of existing users who switch brands when they purchase new devices.[12] For context, these churn rates are in the same ballpark as other industries that cannot remotely be called anticompetitive, such as general retail, travel, and financial/credit services.[13]

This churn is facilitated by the constant evolution of features and pricing strategies. For instance, Apple’s introduction of more affordable iPhone models, such as the iPhone SE, has attracted price-sensitive Android users. Conversely, the proliferation of high-end Android devices with cutting-edge technology, like Samsung’s Galaxy series and Google’s Pixel phones, has drawn iOS users seeking alternative experiences. This fluidity underscores a vibrant competitive environment in which neither platform can afford complacency.[14] This contradicts any assumption that the operating system is irrelevant to consumer choices. Instead, it reflects an environment where firms aggressively compete to enhance user experience and retain customers.

In short, it is important to remember that there is some degree of brand loyalty in nearly all markets, and that this rarely constitutes an obstacle to inter-brand competition. The CMA’s study provides no benchmark against which to assess its claims. In other words, its market study merely shows that smartphone users exhibit some brand loyalty, not that they exhibit too much of it for competition to thrive.

B. Ease of Data Portability

The CMA’s Mobile Ecosystems study cites several factors that might prevent users from switching to new platforms. As the CMA puts it:

3.89 Evidence from market participants (including survey evidence) and our survey suggested that users face four categories of potential barriers to switching between mobile devices with different operating systems:

  • learning costs associated with switching mobile ecosystem;

  • transferring data and apps across devices;

  • managing subscriptions across devices; and

  • the availability and characteristics of Apple’s and Google’s first-party (ie developed and operated by Apple and Google) apps, services, and other devices.[15]

What this study does not reveal, however, is whether these minor inconveniences have a significant impact on user switching, or whether they merely represent a minor (and competitively irrelevant) departure from perfect competition. In other words, all markets present some minor frictions that may marginally reduce the intensity of competition—switching from one supermarket to another, for instance, implies learning costs to absorb the layout of the new store—but this does not mean these markets aren’t intensely competitive.

In that respect, there are important reasons to believe that competition between the two platforms is stronger than is typically recognized in competition policy circles. Ever since the first iPhone was introduced in 2007, each iteration of both companies’ operating systems has included features that could be found in previous version of the other:

Features like picture-in-picture, live voicemail, lock screen customization and live translation were all found on the Android operating system before eventually making their way to iOS. And though the use of widgets to customize your home screen was long held as a differentiator for Android, that feature too eventually found its way to iOS.

On the other hand, Android’s Nearby Share feature is remarkably similar to Apple’s AirDrop, and Android phones didn’t get features like “do not disturb” or the ability to take screenshots until some time after the iPhone had them.

Apple removed the 3.5mm headphone jack from the iPhone in September 2016, and I distinctly remember that at Google’s launch event for the Pixel the following month, chuckles went round the room when the exec on stage proclaimed, “Yes, it has a headphone jack.” Google itself went on to also ditch the headphone jack, with the Pixel 2.

…Rumors that Apple would remove the physical home button on the iPhone X were circling long before the phone was officially unveiled in September 2017. Are they the same rumors Samsung responded to when it “beat Apple to the punch” and removed the home button from its Galaxy S8 earlier that same year? Or did both sides simply arrive at such a big design decision independently?[16]

Another critical factor enhancing competition in mobile ecosystems is the ease of data portability. Both Apple and Google have made substantial efforts to simplify the process of transferring data between their platforms, thereby lowering switching costs for consumers. Apple’s “Move to iOS” app allows Android users to seamlessly transfer contacts, message history, photos, and even app data to their new iPhone.[17] Similarly, Google’s “Data Transfer Tool” facilitates the migration of data from iOS devices to Android smartphones with minimal friction.[18] Moreover, both Apple and Google have webpages that help users to switch from one platform to the other (see Figure 1).

FIGURE 1: Apple’s ‘Move from Android to iPhone’ Tutorial

SOURCE: Apple

This isn’t the only evidence that Apple and Google are engaged in fierce competition for potential users. Online comparisons of Android and iPhone abound.[19] Likewise, the business press often describes the fierce rivalry between Apple and Google.[20] And numerous academic studies have reached similar conclusions about the nature of their competition. Nicolas Petit refers to Apple and Google as “moligopolists”,[21] while David Evans has described their rivalry as “dynamic competition”.[22] Marshall Van Alstyne and his coauthors have analyzed the strategies that both Google and Apple have deployed to outcompete one another.[23]

Finally, both Apple and Google regularly file reports with securities regulators that cite the other firm as an important competitor (if not by name). For example, Apple has noted in its 10-K filing that:

The Company believes the availability of third-party software applications and services for its products depends in part on the developers’ perception and analysis of the relative benefits of developing, maintaining and upgrading such software and services for the Company’s products compared to competitors’ platforms, such as Android for smartphones and tablets and Windows for personal computers.[24]

While Google has noted in its 10-K:

We face competition from: Companies that design, manufacture, and market consumer electronics products, including businesses that have developed proprietary platforms.[25]

The upshot is that the competitive battle in which iOS and Android are engaged is marked by continuous advancements across multiple dimensions, including user-interface design, hardware integration, app-ecosystem quality, and security features. Apple’s iOS is known for its seamless integration with hardware, delivering a tightly controlled and optimized user experience. Conversely, Google’s Android offers a more open ecosystem, allowing for greater customization and a wider variety of device choices from multiple manufacturers.

These differing approaches and business models do not mean that Apple and Google fail to compete. To the contrary, those difference are a function of competition. As Randal Picker has explained in the context of the case initiated by the European Commission against Google Android:

Google undoubtedly wanted to support Android through its advertising business as that was its great competitive advantage. Embedding Google Search in Android is the natural way to do that. It meant that Android would come with a third-party payment mechanism built in and it meant that the price of Android handsets would presumably be lower given that the Android software itself would be free.

This is really the point of business model competition. Apple was being Apple: vertically integrated hardware and software. Did that with the Macintosh, did that with the iPhone. Microsoft was being Microsoft: it had dominated the OS market for the open IBM PC architecture and it hoped to do exactly that for mobile phones. There would be lots of handset makers, just as there were PC makers and Microsoft would make money off of phone OSs. Google was offering a different business model: lots of handset makers and advertising-supported software. The competition between Microsoft and Google was precisely over which way of paying for phone OS software would win.[26] [Emphasis added.]

These tools reflect the companies’ acknowledgment of consumer demand for flexibility and choice. By reducing barriers to switching, Apple and Google have created an environment where users can make platform decisions based on current preferences and needs, rather than be locked into a single ecosystem. This ease of mobility is a testament to the competitive pressures both platforms face, driving them to continuously enhance user experience and value propositions.

This combination of vigorous platform rivalry, significant user churn, and robust data-portability mechanisms paints a clear picture of a highly competitive mobile ecosystem. This competition not only fuels innovation but also ensures that consumers retain the ultimate power to choose the platform that best meets their evolving needs. Not only does this cut against arguments for designating both iOS and Android as strategic market status (SMS) players, but perhaps more importantly, it significantly tilts the cost-benefit analysis of regulatory intervention (which we discuss in the following section) toward a lighter-touch approach, as competition can be expected to discipline market players’ behaviour.

III. The Unintended Consequences of Regulating Mobile Ecosystems

The regulation of mobile ecosystems presents a complex set of tradeoffs. While regulatory interventions, such as enforcement of the DMCC, aim to promote competition and consumer choice, they also risk unintended consequences that could hinder innovation, reduce incentives to invest, and alter the fundamental dynamics of platform competition. Given this, it is important for the CMA to ensure that conduct requirements do not inadvertently and unnecessarily penalize consumers.

As we explain below, there are at least three important ways in which heavy-handed enforcement of the DMCC may do more harm than good. For a start, some of the conduct requirements contemplated by the CMA have been tried in other jurisdictions, and have failed to deliver benefits; second, enforcement may delay or prevent the deployment and integration of artificial-intelligence (AI) technologies into existing platforms; finally, it may nullify valuable product differentiation that currently enables consumers with diverse preferences to choose the type of platform they prefer, rather than having to settle for a one-size-fits-all design.

In recognizing these tradeoffs, regulators like the CMA can adopt a more nuanced approach that preserves the benefits of competition while addressing legitimate concerns in the digital marketplace. This is particularly true given the important competition between Android and iOS. Indeed, even if the CMA decides to designate these activities as SMS, the fierce competition between both platforms means any anticompetitive harms to consumers are likely to be small, and the benefits of regulatory intervention are thus less likely to outweigh the costs discussed below. In short, the risk of regulatory errors is great in markets where there is significant competition.

A. Interoperability, Choice Screens, and App-Store Fees

Regulatory interventions, even when well-intentioned, can lead to unintended consequences that may harm consumers and the broader market. The CMA should be vigilant in identifying and mitigating such risks. For example, regulations aimed at increasing competition by mandating interoperability or data-sharing requirements could inadvertently compromise user privacy and security. Similarly, policies designed to curb perceived anti-competitive behaviours might reduce the incentives for platforms to invest in innovative technologies and features.

Lessons from international jurisdictions, particularly the European Union’s Digital Markets Act (DMA), offer valuable insights into the potential pitfalls of overregulation. The DMA’s stringent requirements have led to significant compliance costs for companies and have sometimes resulted in reduced functionality and user experience. For instance, mandated changes in platform operations to ensure fairness have, in some cases, led to decreased efficiency and increased complexity for both developers and users.

As explained above, at least three of the potential interventions contemplated by the CMA appear to raise significant risks of unintended consequences. For a start, the CMA’s invitation to comment suggest that the authority is considering mandated interoperability to increase mobile competition, as well as the use of choice screens:

Potential measures could include: i. Requirements for Apple and Google not to restrict interoperability as required by third-party products and services (such as rival browsers, digital wallets and connected devices) to function effectively and compete with Apple’s and Google’s own products and services…

iii. Requirements for Apple and Google to make changes to choice architecture in factory settings or subsequent device settings; in order to enable users of mobile devices to make active and informed choices about the product or services they use and/or set as a ‘default’ service.[27]

As ICLE scholars have discussed in more detail elsewhere, such interventions are unlikely to deliver net benefits to UK consumers.[28] In comments submitted to the European Commission, we conclude that:

The forced interoperability proposed under Article 6(7) introduces significant risks to user security. Many of the features targeted for interoperability—such as devices’ NFC capabilities and wireless-file transfer functionalities like AirDrop—are integral to the iOS ecosystem’s security infrastructure. These features were designed with stringent safeguards to prevent unauthorized access and to ensure that users’ sensitive information remains protected. By mandating that third-party developers gain access to these APIs and functionalities, the Commission’s approach would create opportunities for exploitation by malicious actors.[29]

This is not just theoretical speculation. The Microsoft/CrowdStrike outage that kept airlines, hospitals, banks, and other businesses down for hours in July 2024, generating great disruption for thousands, appears to have been—at least in part—generated by an interoperability mandate.[30] Likewise, mandated interoperability may have a detrimental impact on device reliability and performance:

For example, allowing third-party applications to run in the background without adequate controls can significantly reduce battery life, as has been observed on competing platforms like Android. As one journalist put it: “Got the case of a quickly dying phone? It might be your background apps!” The issue arises because background activity consumes system resources, often without users’ awareness. And because users may be unable to attribute battery degradation to a specific application, developers may have weak incentives to minimize the energy their apps consume.[31]

The upshot is that mandated interoperability threatens to degrade aspects of the iOS and Android experiences that consumers value deeply.

Along similar lines, the choice screens contemplated by the CMA have been tried and tested in other jurisdictions, where they have systematically failed to deliver the outcomes desired by regulators. For example, the implementation of browser and search-engine choice screens for Android in Europe does not appear to have meaningfully affected competition or market shares for those services.

More fundamentally, there are serious doubts that default placement has the competitive significance that is typically ascribed to it. As Geoffrey Manne writes, commenting on the U.S. Google Search case and the European Commission’s Google Search proceedings:

With respect to the conclusion that the cost to users of choosing the non-default option is higher, that is inherently true, of course. But it is arguably trivially so…

Among other things (more of which are discussed below), it must be noted that, even when users are presented with a neutral option (e.g., a “choice screen”), they appear to make essentially the same choices as when presented with a default. In Europe, where Google has since 2020 implemented a search engine choice screen on Android following the EU’s 2018 antitrust decision against it, Google’s share of the search engine market has barely budged.

By the same token (at least when Google is the non-default) users are apparently quick to switch from a less-preferred default in order to get access to Google Search:

In a 2016 experiment, Mozilla switched the default GSE on both new and existing users from Google to Bing. By the twelfth day, Bing had kept only 42% of the search volume. After some additional time, those numbers dropped to 20– 35%….

It is exceedingly difficult to square these facts with the court’s conclusions on the functional irrelevance of non-default options.[32]

Finally, the CMA also contemplates interventions to boost app-store competition, either by forcing Apple to allow third-party app stores or by preventing Google from deploying revenue-sharing agreements that prevent fragmentation of the Android ecosystem:

Potential measures that may be appropriate to promote competition in relation to native app distribution could include:

  1. A requirement for Apple to allow alternative app stores to operate on iOS.

  2. A requirement that prevents Google from making revenue share payments in return for certain additional requirements in relation to the Play Store, e.g. setting the Play Store as the default app store and not preloading alternative app stores on devices.[33]

Beyond the security and reliability worries discussed above, these measures have the added harm that they target the monetization of today’s most successful mobile platforms, with two major consequences. The first is that these platforms can be expected to respond by resorting to inferior monetization strategies that penalize consumers and small developers. The second is that, even with these changes, weaker monetization will have a knock-on effect on the platforms’ incentives to innovate, leading to a worse mobile experience for users in the long term.

B. Integration of AI Services

A further concern is that the CMA should avoid policies that could hinder the integration of AI technologies. Indeed, overregulation could stifle the development and deployment of AI innovations, depriving consumers of the benefits of more intelligent, responsive, and personalized mobile experiences. Encouraging a regulatory environment that supports AI integration is essential to foster continued growth and innovation in the mobile ecosystem.

The CMA’s invitation to comment, however, suggests the authority may pursue policies that prevent incumbent tech firms from competing in this space, thereby preventing the product integrations discussed above and reducing competition in this highly dynamic space:

Overall, mobile operating systems, app stores, and browsers each act as a gateway between consumers and the businesses that want to reach them online. Apple and Google are both key gatekeepers to online content on mobile devices, because:

… Further, Apple and Google are in a position to control how new artificial intelligence (AI) services such as chatbots and personal assistants are integrated into their mobile operating systems.[34]

AI is being integrated into various aspects of mobile ecosystems, from predictive text and photo categorization to health monitoring and augmented-reality applications. Google’s AI-driven features, such as real-time language translation and adaptive battery management, highlight AI’s potential to improve usability and efficiency. Apple’s focus on on-device AI processing ensures user privacy, while delivering powerful features like facial recognition and intelligent photo sorting. Heavy-handed intervention threatens these valuable product integrations.

Another important fear is that, paradoxically, efforts to prevent incumbent platforms from competing freely in generative-AI markets may backfire and lead to less, not more, competition. Indeed, upstarts like OpenAI are currently acquiring a sizeable lead in generative AI.[35] While competition authorities might like to think that other startups will emerge and thrive in this space, it is important not to confuse those desires with reality. While there currently exists a vibrant AI-startup ecosystem, there is at least a case to be made that significant competition for today’s AI leaders will come from incumbent Web 2.0 platforms—although nothing is certain at this stage.

Policymakers, including the CMA, should beware not to stifle that competition on the misguided assumption that competitive pressure from large incumbents is somehow less valuable to consumers than that which originates from smaller firms. This is particularly relevant in the context of merger control.

C. The Importance of Differentiation

Differentiation between iOS and Android is a cornerstone of healthy competition in the mobile ecosystem. Each platform offers a distinct user experience, catering to diverse consumer preferences and fostering innovation through unique approaches to design and functionality. Apple’s iOS is renowned for its seamless integration with hardware, stringent privacy controls, and a curated app ecosystem that prioritizes quality and security. In contrast, Android’s open-source nature allows for extensive customization, a wide variety of device options, and greater flexibility for developers.

The CMA’s invitation to comment recognizes this much, acknowledging both that user satisfaction is high and that there is important differentiation between Android and iOS:

Mobile devices play a valuable role in people’s lives. Reported consumer satisfaction levels are high and this is in part due to substantial investment by Apple and Google and other device manufacturers, software developers and content providers over the years in bringing forward new features and updates to their products and services…[36]

The study found that the supply of mobile devices and operating systems was segmented into broadly two groups – higher-priced devices supplied with Apple’s iOS system and lower-priced devices sold with Google’s Android operating system.[37]

This differentiation not only enhances consumer choice but also drives each platform to innovate continuously. For example, Apple’s emphasis on privacy has pushed Android to introduce more robust privacy features, while Android’s customization capabilities have influenced iOS to offer more flexible user-interface options in recent updates. The unique strengths of each platform contribute to a dynamic competitive landscape that benefits consumers.

Regulatory interventions that aim to homogenize these platforms could undermine the very competition they seek to promote. The CMA’s policies should respect the distinct characteristics of both iOS and Android, ensuring that regulatory measures do not inadvertently force one platform to emulate the other. Preserving the diversity of approaches within the mobile ecosystem is essential to foster innovation and meet the varied needs of consumers. Indeed, as ICLE scholars put it in an amicus brief submitted to the U.S. Supreme Court in the Epic v Apple proceedings:

Centralized app distribution and Apple’s “walled garden” model (including IAP) increase interbrand competition because they are at the core of what differentiates Apple from Android, the other major competing platform. They play into Apple’s historical business model, which focuses on being user-friendly, reliable, safe, private, and secure. Even Epic recognized that Apple would lose its competitive advantage if it were to compromise its safety and security features. For Apple and its users, the touchstone of a good platform is not “openness,” but carefully curated selection and security, understood broadly as encompassing the removal of objectionable content, protection of privacy, and protection from “social engineering,” and the like. By contrast, Android’s bet is on the open platform model, which sacrifices some degree of security for the greater variety and customization associated with more open distribution. These are legitimate differences in product design and business philosophy.[38]

IV. Conclusion

The CMA’s investigation into Apple and Google’s mobile ecosystems raises important questions about competition and innovation in the digital economy. As our comments explain, however, the assumption that these ecosystems function as entrenched duopolies with limited competition is misguided. The mobile industry is characterized by dynamic competition, with continuous innovation, significant user choice, and considerable investment in platform development.

Rather than pursuing heavy-handed regulatory interventions that could distort incentives and hinder innovation, the CMA should adopt a cautious and evidence-based approach. Apple and Google compete vigorously, not just with each other but also with a broader landscape of technology firms, including manufacturers, service providers, and developers that operate across various segments of the mobile ecosystem. User-churn rates and the contestability of key market segments indicate that competition remains robust.

Interventions that force interoperability, restrict pre-installed applications, or mandate alternative app stores carry significant risks. Lessons from similar regulatory actions—such as the European Union’s Digital Markets Act—suggest that such measures often lead to unintended consequences, including degraded user experience, increased security risks, and reduced incentives for investment and innovation. In contrast, market-driven differentiation, where consumers can choose between Apple’s integrated approach and Google’s open ecosystem, provides a natural check on anticompetitive behaviour, while maximizing consumer choice.

Given the rapid pace of technological change and the evolving nature of digital markets, a prescriptive regulatory approach could stifle innovation and reduce the competitive benefits that users currently enjoy. Instead, the CMA should focus on clear and proportionate policy measures that address demonstrable harms without undermining the fundamental drivers of competition. The objective should not be to re-engineer these ecosystems, but to ensure that competition remains vibrant and that consumers continue to benefit from technological advancements and product differentiation.

In this context, we urge the CMA to approach its investigation with a view toward fostering innovation, preserving incentives for investment, and avoiding unnecessary regulatory burdens that could harm consumers, developers, and the broader digital economy. A well-calibrated approach—grounded in empirical evidence and mindful of the risks of intervention—will ensure that the UK’s digital markets remain competitive and dynamic in the years to come.

[1] Strategic Market Status Investigations into Apple’s and Google’s Mobile Ecosystems – Invitation to Comment, Compet. Mark. Auth. (23 January 23, 2025), at 11, available at https://assets.publishing.service.gov.uk/media/67911997cf977e4bf9a2f1aa/Invitation_to_comment.pdf (hereinafter ‘Invitation to Comment’).

[2] Keir Starmer, Prime Minister, United Kingdom, Speech at the International Investment Summit (14 October 2024), https://www.gov.uk/government/speeches/pm-international-investment-summit-speech-14-october-2024; Joe Pike, Starmer Asks UK Regulators for Ideas to Boost Growth, BBC (28 December 2024), https://www.bbc.com/news/articles/cy0n14ywzqpo.

[3] Invitation to Comment, supra note 1, at 10.

[4] Invitation to Comment, supra note 1, at 12.

[5] This is a corollary of the “cellophane” and “reverse cellophane” fallacies. See Luke Froeb & Gregory J. Werden, The Reverse Cellophane Fallacy in Market Delineation, 7 Rev. Ind. Org., 241-247 (1992).

[6] Mobile Ecosystems: Market Study Final Report, Compet. Mark. Auth. (10 June 2022), at 48 (hereinafter ‘Final Report’).

[7] Id. at 64

[8] Id. at 57

[9] Id. at 57

[10] Id. at 28

[11] See Commission Decision AT.40099 (Google Android), slip op., (18 July 2018).

[12] Dirk Auer, Making Sense of the Google Android Decision, Int’l Ctr. L. Econ. (25 February 2020), at 20, available at https://laweconcenter.org/wp-content/uploads/2020/02/Auer-Making-Sense-of-the-Google-Android-Decision-White-Paper.pdf.

[13] See, e.g., Raphael Bohne, Customer Churn Rate in the United States, by Industry, Statista (9 November 2024), https://www.statista.com/statistics/816735/customer-churn-rate-by-industry-us.

[14] Id.

[15] Final Report, supra note 6 at 57.

[16] Andrew Lanxon, Android vs. iPhone: 15 Years of Innovation Through Rivalry, CNET (24 April 2024),  https://www.cnet.com/tech/mobile/smartphone-showdown-15-years-of-android-vs-iphone.

[17] Move from Android to iPhone or iPad, Apple, https://support.apple.com/en-au/118670 (last visited 7 February 2025).

[18] Switch Is Easier than Ever, Android, https://www.android.com/switch-to-android (last visited 7 February 2025).

[19] See, e.g., Michael Muchmore & Gabriel Zamora, Android vs. iOS: Which Phone OS Really Is the Best?, PCMag (13 November 2024), https://www.pcmag.com/comparisons/android-vs-ios-which-mobile-os-is-best; Prakhar Khanna, iPhone Vs. Android – Which One Should You Get?, Forbes (16 February 2024), https://www.forbes.com/sites/technology/article/iphone-vs-android; Bartosz Szczygie?, iPhone vs Android Users: Key Differences in 2024, NetGuru (8 January 2025),  https://www.netguru.com/blog/iphone-vs-android-users-differences.

[20] See, e.g., Rhiannon Williams, Why Competition Between Apple and Google Is More Brutal than Ever, The Telegraph (29 September 2014), https://www.telegraph.co.uk/technology/google/11127694/Why-competition-betweenApple-and-Google-is-more-brutal-than-ever.html; Bianca DiSanto, Google vs. Apple: Why Their Competition Is Good for You, The Hoya (21 October 2016), https://thehoya.com/google-vs-apple-why-their-competition-is-good-for-you; Can Google or Huawei Stymie Apple’s March Towards $4trn?, The Economist (24 October 2024), https://www.economist.com/business/2024/10/24/can-google-or-huawei-stymie-apples-march-towards-4trn.

[21] Nicolas Petit, Big Tech & the Digital Economy. The Moligopoly Scenario (2020).

[22] David S. Evans, Why the Dynamics of Competition for Online Platforms Leads to Sleepless Nights But Not Sleepy Monopolies, SSRN (25 July 2017), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3009438.

[23] Marshall W. Van Alstyne et al., Pipelines, Platforms, and the New Rules of Strategy, Harv. Bus. Rev. (April 2016), at 1-9.

[24] Apple Inc., Annual Report (Form 10-K), at 1 (29 September 2018).

[25] Alphabet Inc., Annual Report (Form 10-K), at 5 (31 December 2017).

[26] Randal Picker, The European Commission Picks a Fight with Google Android over Business Models, ProMarket (23 July 2018), https://www.promarket.org/2018/07/23/european-commission-picks-fight-google-android-business-models.

[27] Invitation to Comment, supra note 1 at 27.

[28] Geoffrey A. Manne, Dirk Auer, & Mario A. Zúñiga, Comments of ICLE to Commission Consultation on Proposed Measures for Interoperability Between Apple’s iOS Operating System and Connected Devices, Int’l Ctr. L. Econ. (8 January 2025), https://laweconcenter.org/resources/comments-of-icle-to-commission-consultation-on-proposed-measures-for-interoperability-between-apples-ios-operating-system-and-connected-devices-dma-100203.

[29] Id. at 7

[30] Id. at 8

[31] Id. at 9

[32] Geoffrey A. Manne, A Critical Analysis of the Google Search Antitrust Decision, Int’l Ctr. L. Econ. (14 August 2014), at 16-17, available at https://laweconcenter.org/wp-content/uploads/2024/08/Manne-Google-Search-Decision-Analysis-2024-08-14.pdf.

[33] Invitation to Comment, supra note 1 at 24.

[34] Id. at 9

[35] See, e.g., Paul Baier, Estimated Market Share of Closed-Source LLM Models in 2024, GenAI Inisights (24 August 2024), https://gaiinsights.substack.com/p/estimated-market-share-of-closed.

[36] Invitation to Comment, supra note 1 at 10.

[37] Id. at 12

[38] Geoffrey A. Manne & Daniel G. Gilman, ICLE Amicus to US Supreme Court in Apple v Epic, Int’l Ctr. L. Econ. (27 October 2023), at 15-16, available at https://laweconcenter.org/wp-content/uploads/2023/11/ICLE-Amicus-Apple-v-Epic-SCt-10.27.23-FINAL.pdf.

Regulatory Comments

Five Key Lessons from Abroad for the UK CMA’s Google Search Probe

In the first investigation conducted under the new ex-ante regulatory framework established by the Digital Markets, Competition and Consumers Act (DMCC), the United Kingdom’s Competition and Markets Authority (CMA) is seeking to ascertain whether Google has “strategic market status” (SMS) in the search and search-advertising-services markets. The CMA is also tasked with weighing whether ex-ante remedies are needed to address potential anticompetitive harm caused by Google’s position.

In conducting this analysis, the CMA should build on other jurisdictions’ experience. The authority must carefully distinguish between conduct that is genuinely anticompetitive and harmful to consumers and conduct that—while not anticompetitive or harmful—conflicts with the CMA’s vision of how the online search market should be structured.

In defining the boundaries between “fair” and “unfair” or “informed” and “uninformed” choices, as well as between “competitive” and “anticompetitive” conduct, the CMA confronts a pivotal question: does it seek to enable market-driven outcomes or does it intend to impose its own? While it’s likely premature to assess the effectiveness of those interventions taken by other jurisdictions, the experience to-date does offer some clues as to where the line between regulators’ ambitions and consumer interests should be drawn.

Read the full piece here.

TOTM

ICLE Comments to Brazil’s CADE on Competition in Digital Ecosystems of Mobile Devices

I. Introduction

We are thankful for this opportunity to submit written comments to the Conselho Administrativo de Defesa Econômica’s (“CADE”) public hearing on “Competition in Digital Ecosystems of Mobile Devices (iOS and Android).”[1] The International Center for Law & Economics (“ICLE”) is a nonprofit, nonpartisan global research center founded with the goal of building the intellectual foundations for sensible, economically grounded policy. ICLE promotes the use of law & economics methodologies to inform public-policy debates and has longstanding expertise in the evaluation of competition law and policy. ICLE’s interest is to ensure that competition law remains grounded in clear rules, established precedent, a record of evidence, and sound economic analysis.

According to the hearing’s notice, CADE is conducting at least three investigations of “digital ecosystems”[2] in the wake of a “growing number of reports of violations of [Brazil’s] economic order related to digital ecosystems for mobile devices” that, together, warrant “allowing, through a hearing, society, economic agents, experts, academics, civil society organizations and other interested parties to present comments that they consider relevant for the ongoing informed decision-making by this competition authority.”[3]

Against this backdrop, our comments respectfully suggest careful consideration before enacting either sectoral regulation of digital “ecosystems”; specific reforms to competition law in Brazil that aim to deal with these ecosystems; or broad remedies that could affect the quality or affordability of such ecosystems.

We posit that competition among mobile-device operating systems is generally dynamic, competitive, and beneficial to consumers. The mobile ecosystem—where Apple’s iOS and Google’s Android are the dominant players—has experienced intense competition that has spurred innovation and benefited consumers. Contrary to claims of duopoly-induced stagnation, both platforms have continuously introduced groundbreaking features and improvements to their services.

Operating systems allow consumers to access digital services, which in turn help them to increase their productivity and enjoy relatively cheap access to information. While there are always potential competition issues and anticompetitive behavior in any market, the experience to-date in the operating-system market suggests that such issues are neither pervasive nor sufficiently unique to justify strict sui generis preemptive rules. Instead, existing antitrust law (Act No. 12,529/2011) is sufficient to address potential anticompetitive practices in digital markets. Furthermore, as demonstrated by recent cases and investigations, CADE has the necessary expertise and resources to manage these cases.

Of course, challenges do arise in applying antitrust laws to digital markets and to operating systems. For example, amid the fast-changing digital landscape, it can be difficult to define relevant markets and dominant positions in multisided-platform cases. The contours of the relevant market are not always clear, and the boundaries between the digital and nondigital world are sometimes overstated. Those challenges can, however, be properly addressed through the existing legal framework and with appropriate institutional reforms, such as equipping CADE with more resources to incorporate advanced, state-of-the-art technical expertise.

In devising alternate solutions to potential competition problems, it is important not to fall for the so-called “nirvana fallacy”—that is, comparing imperfect antitrust-enforcement systems against ideal regulations, as if they would be implemented in the real world perfectly and according to their purported goals.[4] All legal-enforcement systems are imperfect; that some imperfections can be identified is not sufficient to justify changes to the system.

In any case, any state intervention—whether it be regulation, antitrust enforcement, or the in-between “quasi-regulatory” approach—should operate under limiting principles, such as prioritizing consumer welfare,[5] and assessing the consumer impact of such interventions using clear metrics like price, output, and innovation. Interventions should also respect platform autonomy, ensuring that firms remain the primary designers of their own business models. Interventions should not stifle innovation, but rather encourage it across the digital ecosystem.[6] Blanket or per-se prohibitions on business practices like so-called “self-preferencing,” or mandated “interoperability” and/or access to platforms, will be likely to harm consumers, as these practices benefit consumers most of the time.[7]

II. Competition in Operating Systems

When competition authorities identify competition problems in the market for mobile-device operating systems, they typically assume that the entities that control these systems possess significant market power. This market power (“dominance” or “monopoly power”), they argue, enables these companies to exploit consumers or business users, leading to anticompetitive harms. For example, the UK’s Competition and Markets Authority (“CMA”) highlighted this concern in its request for comments on digital ecosystems:

Apple and Google hold an effective duopoly in mobile ecosystems. Their control over these increasingly crucial ecosystems means both firms hold powerful positions and can unilaterally determine the ‘rules of the game’, making it difficult for rival businesses such as browsers or alternative app stores to compete.[8]

Similarly, in the case initiated against Apple by Mercado Livre Brasil, CADE ruled in a preliminary-injunction decision that the relevant market is:

…composed solely and exclusively of the iOS operating system, a non-licensable operating system for mobile devices that presents itself as the central market for the entire iOS ecosystem. Accordingly, this SG defines the market of origin of the conduct as the market for the non-licensable mobile operating system iOS.[9]

Given that market definition, the only possible conclusion is that Apple has a monopoly over its own operating system. The problem with such conclusion, however, is that Apple (iOS) clearly competes with Google (Android) in the operating-system market for mobile devices. Even if these firms hold a duopoly in this market,[10] it is undeniable that the rivalry between them has been beneficial to consumers in terms of both quality and innovation. Since the first iPhone was introduced in 2007, each iteration of both companies’ operating systems has included features that could be found in previous versions of the other:

Features like picture-in-picture, live voicemail, lock screen customization and live translation were all found on the Android operating system before eventually making their way to iOS. And though the use of widgets to customize your home screen was long held as a differentiator for Android, that feature too eventually found its way to iOS.

On the other hand, Android’s Nearby Share feature is remarkably similar to Apple’s AirDrop, and Android phones didn’t get features like “do not disturb” or the ability to take screenshots until some time after the iPhone had them.

Apple removed the 3.5mm headphone jack from the iPhone in September 2016, and I distinctly remember that at Google’s launch event for the Pixel the following month, chuckles went round the room when the exec on stage proclaimed, “Yes, it has a headphone jack.” Google itself went on to also ditch the headphone jack, with the Pixel 2.

(…)

Rumors that Apple would remove the physical home button on the iPhone X were circling long before the phone was officially unveiled in September 2017. Are they the same rumors Samsung responded to when it “beat Apple to the punch” and removed the home button from its Galaxy S8 earlier that same year? Or did both sides simply arrive at such a big design decision independently?[11]

Consumers can readily find myriad comparisons of Android and iPhone devices online.[12] Moreover, both Apple and Google maintain webpages that offer to help users switch from one platform to the other (see Figure 1).[13] The business press has extensively covered the fierce rivalry between the two companies.[14] And numerous academic studies have reached similar conclusions about the nature of their competition. Nicolas Petit refers to Apple and Google as “moligopolists,”[15] while David Evans has described their rivalry as “dynamic competition.”[16] Marshall Van Alstyne and his coauthors have analyzed the strategies that both Google and Apple have deployed to outcompete one another.[17]

FIGURE 1: Apple’s ‘Move from Android to iPhone’ Tutorial

SOURCE: Apple

Finally, both Apple and Google regularly file reports with securities regulators that cite the other firm as an important competitor (if not by name). For example, Apple has noted in its 10-K filing that:

The Company believes the availability of third-party software applications and services for its products depends in part on the developers’ perception and analysis of the relative benefits of developing, maintaining and upgrading such software and services for the Company’s products compared to competitors’ platforms, such as Android for smartphones and tablets and Windows for personal computers.[18]

While Google has noted in its 10-K:

We face competition from: Companies that design, manufacture, and market consumer electronics products, including businesses that have developed proprietary platforms.[19]

The competitive landscape in which iOS and Android both seek to gain and retain market share has been marked by continuous advancements across multiple dimensions, including user-interface design, hardware integration, app-ecosystem quality, and security features. Apple’s iOS is known for its seamless integration with hardware, delivering a tightly controlled and optimized user experience. Conversely, Google’s Android offers a more open ecosystem, allowing for greater customization and a wider variety of device choices from multiple manufacturers. The fact that the companies have taken these differing approaches do not mean that Apple and Google are not direct competitors. Rather, these different business models decisions are themselves a function of competition. As Randal Picker has explained in the context of the case initiated by the European Commission against Google Android:

Google undoubtedly wanted to support Android through its advertising business as that was its great competitive advantage. Embedding Google Search in Android is the natural way to do that. It meant that Android would come with a third-party payment mechanism built in and it meant that the price of Android handsets would presumably be lower given that the Android software itself would be free.

This is really the point of business model competition. Apple was being Apple: vertically integrated hardware and software. Did that with the Macintosh, did that with the iPhone. Microsoft was being Microsoft: it had dominated the OS market for the open IBM PC architecture and it hoped to do exactly that for mobile phones. There would be lots of handset makers, just as there were PC makers and Microsoft would make money off of phone OSs. Google was offering a different business model: lots of handset makers and advertising-supported software. The competition between Microsoft and Google was precisely over which way of paying for phone OS software would win.[20] [Emphasis added.]

As we will address in Section III, state interventions (either in the form of regulation or competition-law remedies) that do not respect firms’ autonomy to remain the primary designers of their platforms and business models risk eroding this form of competition.

Arguments that both Apple and Google maintain “monopolies” over their own operating systems often focus on the role played by brand loyalty. But as Dirk Auer noted in a critique of the European Commission’s Google Android decision,[21] the data that the Commission used to support its findings can be read differently:

Take the claim that 82% of Android users stick with Android when they change phones (compared to 78% for Apple), and that 75% of new smartphones are sold to existing users. The Commission asserted, without further evidence, that these numbers prove there is little competition between Android and iOS.

But is this really so? In almost all markets consumers likely exhibit at least some loyalty to their preferred brand. At what point does this become an obstacle to interbrand competition? The Commission offered no benchmark mark against which to assess its claims.

And although inter-industry comparisons of churn rates should be taken with a pinch of salt, it is worth noting that the Commission’s implied 18% churn rate for Android is nothing out of the ordinary, including for industries that could not remotely be called anticompetitive.

To make matters worse, the Commission’s own claimed figures suggest that a large share of sales remained contestable (roughly 39%). Imagine that, every year, 100 devices are sold in Europe (75 to existing users and 25 to new users, according to the Commission’s figures). Imagine further that the installed base of users is split 76–24 in favor of Android. Under the figures cited by the Commission, it follows that at least 39% of these sales are contestable.[22] [Emphasis added.]

The purpose of defining relevant markets and measuring product substitutability is to gauge the potential for competitive discipline. Substitutability does not require that every Android user, or even most users, see Apple as a viable alternative, or vice versa. Rather, effective competitive pressure exists so long as a non-negligible segment of consumers would switch products due to price increases or diminished quality. An 18% potential switching rate is not negligible.

At this point, it is important to consider that operating systems are “two-sided platforms” that connect consumers and developers of applications and that create an important part of the value obtained from devices. This “two-sidedness” entails that one cannot consider prices or other impacts on one side of the market in isolation.[23] Even if consumers are “locked-in,” if developers can find substitutes for the platform, it is harder to conclude that that platform has monopoly power. The U.S. District Court for the Northern District of California acknowledged this in its Epic v. Apple ruling, noting that the availability of alternative distribution channels for Epic’s games indicated that iOS may not constitute a distinct relevant market:

Thus, at this stage of the litigation, and with the record before the Court, Apple’s relevant market definition is also plausible. As Apple correctly points out, alternative means exist to distribute Fortnite. Indeed, Epic Games expressly advertised the multiplatform nature of its product following its breach of the Apple terms and service. (“[The] party continues on PlayStation 4, Xbox One, Nintendo Switch, PC, Mac, GeForce Now, and through both the Epic Games app at epicgames.com and the Samsung Galaxy Store.”).) The multiplatform nature of Fortnite suggests that these other platforms and their digital distributions may be economic substitutes that should be considered in any “relevant market” definition because they are “reasonably interchangeable” when used “for the same purposes.” (dismissing antitrust claim when alleged relevant market ignored multiple ways of reaching consumers). “If competitors can reach the ultimate consumers of the product by employing existing or potential alternative channels of distribution, it is unclear whether such restrictions foreclose from competition any part of the relevant market.” [24] [Citations omitted.]

Finally, it is important to consider that consumers buy smartphones, not operating systems. In that vein, Apple and Android face competition from smartphone manufacturers like Samsung, Xiaomi, Huawei, or Oppo. Indeed, it has been widely reported that Chinese smartphone producers like Huawei, who have been working on their own operating systems.[25] These manufacturers often push the boundaries of hardware design with features that consumers care about—e.g., better cameras or foldable phones.[26] These companies constitute at least potential competition that could discipline Apple and Google, should they begin to rest on their laurels and reduce their quality or try to exploit their market power.

In sum, while the debate over competition in mobile operating systems often assumes that Apple and Google either constitute separate “monopolies” in different relevant markets or a single stagnant duopoly, market reality indicates something else. Both companies not only compete intensively with one another, but also face significant pressure for smartphone manufacturers.

III. ‘Solutions’ in Search of a Problem

Even well-intentioned regulatory interventions can lead to unintended consequences that may harm consumers and the broader market. CADE should be vigilant in identifying and mitigating such risks. For example, regulations intended to boost competition by mandating interoperability or data-sharing requirements could inadvertently compromise user privacy and security. Similarly, policies designed to curb perceived anticompetitive behaviors might dampen platforms’ incentives to invest in new features and technologies.

Lessons from international jurisdictions, particularly the European Union’s Digital Markets Act (“DMA”), offer valuable insights into the potential pitfalls of overregulation. The DMA’s stringent requirements have led to significant compliance costs for companies and have sometimes resulted in reduced functionality and a worse user experience. For instance, mandated changes to platform operations to ensure “fairness” have, in some cases, led to decreased efficiency and increased complexity for both developers and users.[27]

To avoid such outcomes, CADE should intervene in markets only after clear evidence of harm to consumers, and with appropriate and proportional remedies. CADE already has the proper legal and institutional tools to do that within the current legal regime.

To be sure, as in any market, competition problems may arise in digital markets (i.e., there may be incentives to behave anticompetitively or to engage in conduct that could have an anticompetitive effect). But any potential anticompetitive conduct can and should be addressed via the application of antitrust law, such as Law No. 12,529/2011. As Giuseppe Colangelo and Oscar Borgogno have argued:

… recent and ongoing antitrust investigations demonstrate that standard competition law still provides a flexible framework to scrutinize several practices sometimes described as new and peculiar to app stores.

This is particularly true in Europe, where the antitrust framework grants significant leeway to antitrust enforcers relative to the U.S. scenario, as illustrated by the recent Google Shopping decision.[28]

Indeed, the European Commission has initiated traditional competition-law complaints against Google that have included imposed fines,[29] while the UK CMA has settled cases with Amazon with negotiated remedies.[30] In the United States, both the Federal Trade Commission (“FTC”) and the U.S. Justice Department (“DOJ”), along with several states, have initiated cases against Google,[31] Facebook,[32] and Amazon.[33]

We believe that CADE should be able to address any potential competition issues in much the same way. CADE has already initiated investigations and cases related to alleged refusals to deal, self-preferencing, and discrimination against platforms like Google, Apple, Meta, Uber, Booking.com, Decolar.com, and Expedia—precisely the sorts of firms that would presumably be covered by any new digital markets regulation. A 2019 OECD peer review of Brazilian competition law found that “(w)hile competition law regimes in many emerging economies may still struggle to achieve enforcement goals, the Brazilian regime has largely been considered a success,”[34] adding that:

CADE is well-regarded within the competition practitioner community both nationally and internationally, the business community, and within the Government administration due to its technical capabilities. It is considered one of the most efficient public agencies in Brazil and its international standing as a leading competition authority both regionally and globally reinforces this domestic view that it is a model public agency.[35]

That should lay to rest any doubts that CADE has the institutional tools and technical expertise to deal digital-markets cases properly.

Moreover, based on the EU experience, there is a significant risk of double jeopardy when the boundaries of traditional competition law and ex-ante digital regulation become fuzzy. As Giuseppe Colangelo has observed, the DMA is based explicitly on the notion that competition law alone is insufficient to effectively address the challenges and systemic problems posed by the digital-platform economy.[36]

Indeed, the scope of antitrust law is limited to certain instances of market power (e.g., dominance on specific markets) and anticompetitive behavior more generally. Further, its enforcement occurs ex post and requires extensive investigation on a case-by-case basis of what are often complex fact sets. Therefore, proponents of ex-ante digital markets-regulation argue, traditional competition law may not effectively address the challenges to well-functioning markets posed by the conduct of gatekeepers, who are not necessarily “dominant” in competition-law terms. Regulatory regimes like the DMA thus forward a set of ex-ante obligations for online platforms designated as gatekeepers in order to serve as a complement to traditional antitrust rules. This also allows enforcers to dispense with the laborious process of defining relevant markets, proving dominance, and measuring market effects.

But despite claims that the DMA is not an instrument of competition law, and should therefore not affect how antitrust rules apply in digital markets, such regulatory regimes do appear to blur the lines between regulation and antitrust by mixing their respective features and goals. Indeed, the DMA shares the same aims and protects the same legal interests as competition law.

Further, the DMA’s list of prohibitions is effectively a synopsis of past and ongoing antitrust cases, such as Google Shopping (Case T-612/17), Apple (AT.40437) and Amazon (Cases AT.40462 and AT.40703). Acknowledging the continuum between competition law and the DMA, the European Competition Network (“ECN”) and some EU member states (self-anointed “friends of an effective DMA”) initially proposed empowering national competition authorities (“NCAs”) to enforce DMA obligations directly.[37]

Similarly, the prohibitions and obligations often contemplated by digital markets regulations could, in theory, all be imposed by CADE. In fact, CADE has investigated—and is still investigating—several large companies that would likely fall within the purview of any digital markets regulation, including Google, Apple, Meta, Uber, Booking.com, Decolar.com, Expedia and iFood. CADE’s past and current investigations of these companies covered various conduct that is also targeted by the DMA, such as refusals to deal, self-preferencing, and discrimination.[38] Existing competition law under Act 12.529/11 therefore clearly already captures such conduct.

The difference between the two regimes is that, while general antitrust law requires a showing of harm and exempts conduct that benefits consumers, sector-specific regulation—in principle—would not. But such shortcuts have a cost. Certain types of behavior often targeted by ex-ante digital market regulations are nevertheless capable of—or even central to—delivering significant procompetitive benefits. It would be unjustified and harmful to subject such conduct to per se prohibitions, or to reverse the burden of proof. Instead, this type of conduct should be approached neutrally, and examined on a case-by-case basis.[39]

In the months since the publication of the Ministry of Finance’s report on competition in digital markets,[40] the discussion in Brazil has shifted focus from ex-ante regulation to a “more flexible approach,” similar to past reforms in Japan or Germany, as well as the UK’s more recent Digital Markets, Competition and Consumers Act (“DMCC”). This “more flexible approach” is, in theory, better than ex-ante regulation, given that it would presumably require evidence of specific harms to competition and consumers before any intervention. It could therefore entail more tailored and narrow remedies.

There is, however, also the strong possibility that competition agencies—or, depending on the details of the final regulation, potentially other less-experienced authorities—may be granted extensive discretion to impose broad behavioral and structural remedies. Such broad remedies could inadvertently foreclose various kinds of pro-competitive or pro-consumer behavior.

For example, following its own market inquiry into “online intermediation platforms,” the South African Competition Commission in 2023 recommended that e-commerce firms segregate their retail divisions from any marketplace operations—a structural remedy more reasonable for markets prone to natural monopolies (such as water or electricity distribution) than for the highly competitive e-commerce market.[41]

Similarly, a market investigation unit at Mexico’s Comisión Federal de Competencia Económica (COFECE) has recommended that Amazon and Mercado Libre unbundle their streaming services and make their platforms “interoperable” with third-party logistics providers. These remedies will tend to harm rather than benefit consumers, as they would ban vertical integration that generally results in lower prices and better distribution. Moreover, such remedies may soon prove obsolete in the face of rapidly changing market dynamics.[42]

The UK CMA’s recent investigation of the internet-search market also reinforces our concern about this kind of “quasi-regulatory” approach. The CMA’s preliminary proposal (based solely on Google’s strategic market status—i.e., no specific harms had been proven) contemplates broad remedies that are, in fact, quite similar to those prescribed by the DMA. These include prohibiting self-preferencing, preventing cross-silo data transfers, and restricting the way Google uses the information it accesses from public websites to develop artificial-intelligence (AI) services.[43]

This degree of regulatory discretion is not simply a minor bug, particularly in countries without an outstanding record of upholding the rule of law. Brazil currently ranks 80th of 142 countries worldwide on that score, and 17th out of 32 countries in Latin America and the Caribbean.[44]

The Ministry of Finance’s report outlines the contours of the abovementioned regulatory regimes. Alas, it proceeds directly to its proposals without assessing their potential impact. The absence of such analysis should give CADE pause. The goal of making antitrust law more expeditious and effective can be achieved by providing agencies and courts with needed resources, as well as by streamlining procedures to address cases before market dynamics shift and render potential remedies ineffective.

Moreover, there is merit in the complexity of abuse-of-dominance cases. Because agencies need to allocate resources efficiently and intervene only in cases where challenged conduct genuinely poses a risk to competition, the slow and steady complexity of proving competition-law complaints essentially serves as a filter. The cost-benefit analysis involved in determining whether a particular business practice is anticompetitive allows agencies to better distinguish harmful conduct from potentially beneficial practices. In the end, traditional competition law is, in fact, both more flexible and more precise than the proposed “more flexible” approach.

IV. Conclusion

CADE’s investigation into Apple’s and Google’s mobile ecosystems raises important questions about competition and innovation in the digital economy. As our comments explain, however, the assumption that these ecosystems function as two monopolies, or an entrenched duopoly with limited competition, is misguided. The mobile industry is characterized by dynamic competition, with continuous innovation, significant user choice, and considerable investment in platform development.

Rather than pursuing heavy-handed regulatory interventions that could distort incentives and hinder innovation, CADE should adopt an evidence-based and cautious approach. Apple and Google compete vigorously, not just with each other but also with a broader landscape of technology firms—including manufacturers, service providers, and developers operating across various segments of the mobile ecosystem. User churn rates and the contestability of key market segments indicate that competition remains robust.

Interventions that force interoperability, restrict pre-installed applications, or mandate alternative app stores carry significant risks. Lessons from similar regulatory actions (particularly the DMA) suggest that such measures often lead to unintended consequences, including degraded user experience, increased security risks, and reduced incentives for investment and innovation. In contrast, market-driven differentiation, where consumers can choose between Apple’s integrated approach and Google’s open ecosystem, provides a natural check on anticompetitive behavior, while maximizing consumer choice.

Given the rapid pace of technological change and the evolving nature of digital markets, a prescriptive regulatory approach could stifle innovation and reduce the competitive benefits that users currently enjoy. Instead, policymakers and competition agencies should focus on clear and proportionate policy measures that address demonstrable harms without undermining the fundamental drivers of competition. The objective should not be to reengineer these ecosystems, but to ensure that competition remains vibrant and that consumers continue to benefit from technological advancements and product differentiation.

In this context, it is advisable to approach these markets with a view toward fostering innovation, preserving incentives for investment, and avoiding unnecessary regulatory burdens that could harm consumers, developers, and the broader digital economy. A well-calibrated approach—grounded in empirical evidence and mindful of the risks of intervention—will ensure that Brazil’s digital markets remain competitive and dynamic in the years to come.

[1] Audiência Pública – Concorrência em Ecossistemas Digitais de Dispositivos Móveis (iOS e Android), Conselho Administrativo de Defesa Econômica (Feb. 3, 2024), https://sei.cade.gov.br/sei/controlador_externo.php?acao=documento_conferir&codigo_verificador=1509889&codigo_crc=17F0A23B&hash_download=9ab49f9625968c225f8ebf22e5f1174d1f799be4d0585a22367aaa98e84dd9a43355a45b4ee109c31df834cfba0f8ea7f7eeb4ce360a25d3128a1ae751be3b25&visualizacao=1&id_orgao_acesso_externo=0.

[2] Administrative Inquiries No. 08700.002940/2019-76 (“Google Android case”) and 8700.009916/2024-25 (“Google Play Store case”), and Administrative Proceeding No. 08700.009531/2022-04 (“Apple App Store” case).

[3] CADE, supra note 1.

[4] See Harold Demsetz, Information and Efficiency: Another Viewpoint, 12 J.L. Econ. 1, 22 (1969), (“The view that now pervades much public policy economics implicitly presents the relevant choice as between an ideal norm and an existing “imperfect” institutional arrangement. This nirvana approach differs considerably from a comparative institution approach in which the relevant choice is between alternative real institutional arrangements.”).

[5] Brazilian Competition Law, Act 12.529/2011 considers the protection of free competition and consumers to be among its primary goals.

[6] For more detail on these operating principles, see Geoffrey A. Manne, Dirk Auer, Lazar Radic, & Mario A. Zúñiga, ICLE Comments on the CMA’s Draft Guidance for the UK’s Digital Markets Competition Regime, Int’l Ctr. L. Econ. (Jul. 12, 2024), https://laweconcenter.org/resources/icle-comments-on-the-cmas-draft-guidance-for-the-uks-digital-markets-competition-regime.

[7] Lazar Radic, Digital-Market Regulation: One Size Does Not Fit All, Truth Mark. (Apr. 17, 2023), https://truthonthemarket.com/2023/04/17/digital-market-regulation-one-size-does-not-fit-all.

[8] Invitation to Comment on Strategic Market Status Investigation into Apple and Google’s Mobile Ecosystem, Compet. Mark. Auth. (Jan. 23, 2025), at 11, https://connect.cma.gov.uk/invitation-to-comment-sms-investigations-into-apple-and-google-s-mobile-ecosystems.

[9] CADE Nota Técnica Nro. 63/2024/CGAA11/SGA1/SG/CADE (Dec. 12, 2024), https://sei.cade.gov.br/sei/modulos/pesquisa/md_pesq_documento_consulta_externa.php?HJ7F4wnIPj2Y8B7Bj80h1lskjh7ohC8yMfhLoDBLddZGjmDYkx3_EXIVLLLrA_C3ojklC750gYvLk4Wjzp2CQAzNjE5yiDgT6lb0_1xdyihsVVs3J1xFcXVJMWUJOcf9.

[10] It is important to note that a duopoly (or other highly concentrated market structure) is not inherently anticompetitive. Economic models and empirical research suggest that duopolies can reach a highly competitive equilibrium. See Erwin A. Blackstone, Larry F. Darby, & Joseph P. Fuhr Jr., The Case of Duopoly, 34 Regulation 3 (Winter 2011-2012), at 12, available at https://www.cato.org/sites/cato.org/files/serials/files/regulation/2012/6/v34n4-3.pdf. Frequently cited examples of competitive duopolies include Coca-Cola and Pepsi, or Airbus and Boeing.

[11] Andrew Lanxon, Android vs. iPhone: 15 Years of Innovation Through Rivalry, CNET (Apr. 24, 2024),  https://www.cnet.com/tech/mobile/smartphone-showdown-15-years-of-android-vs-iphone;

[12] See, e.g., Michael Muchmore & Gabriel Zamora, Android vs. iOS: Which Phone OS Really Is the Best?, PCMag (Nov. 13, 2024), https://www.pcmag.com/comparisons/android-vs-ios-which-mobile-os-is-best; Prakhar Khanna, iPhone Vs. Android – Which One Should You Get?, Forbes (Feb. 16, 2024), https://www.forbes.com/sites/technology/article/iphone-vs-android; Bartosz Szczygie?, iPhone vs Android Users: Key Differences in 2024, NetGuru (Jan. 8, 2025),  https://www.netguru.com/blog/iphone-vs-android-users-differences.

[13] Move from Android to iPhone or iPad, Apple, https://support.apple.com/en-au/118670 (last visited Feb. 7, 2025); Switch Is Easier than Ever, Android, https://www.android.com/switch-to-android (last visited Feb. 7, 2025).

[14] See, e.g., Rhiannon Williams, Why Competition Between Apple and Google Is More Brutal than Ever, The Telegraph (Sep. 29, 2014), https://www.telegraph.co.uk/technology/google/11127694/Why-competition-betweenApple-and-Google-is-more-brutal-than-ever.html; Bianca DiSanto, Google vs. Apple: Why Their Competition Is Good for You, The Hoya (Oct. 21, 2016), https://thehoya.com/google-vs-apple-why-their-competition-is-good-for-you; Can Google or Huawei Stymie Apple’s March Towards $4trn?, The Economist (Oct. 24, 2024), https://www.economist.com/business/2024/10/24/can-google-or-huawei-stymie-apples-march-towards-4trn.

[15] Nicolas Petit, Big Tech & the Digital Economy. The Moligopoly Scenario (2020).

[16] David S. Evans, Why the Dynamics of Competition for Online Platforms Leads to Sleepless Nights But Not Sleepy Monopolies, SSRN (Jul. 25, 2017), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3009438.

[17] Marshall W. Van Alstyne et al., Pipelines, Platforms, and the New Rules of Strategy, Harv. Bus. Rev. (Apr. 2016), at 1-9.

[18] Apple Inc., Annual Report (Form 10-K), at 1 (Sep. 29, 2018).

[19] Alphabet Inc., Annual Report (Form 10-K), at 5 (Dec. 31, 2017).

[20] Randal Picker, The European Commission Picks a Fight with Google Android over Business Models, ProMarket (Jul. 23, 2018), https://www.promarket.org/2018/07/23/european-commission-picks-fight-google-android-business-models.

[21] Dirk Auer, Making Sense of the Google Android Decision, Int’l Ctr. L. Econ. (Feb. 25, 2020), available at https://laweconcenter.org/wp-content/uploads/2020/02/Auer-Making-Sense-of-the-Google-Android-Decision-White-Paper.pdf.

[22] Id., at 20-21.

[23] David S. Evans & Michael Noel, Defining Antitrust Markets When Firms Operate Two-Sided Platforms, 3 Colum. Bus. L. Rev., 667 (2005).

[24] Epic Games v. Apple Inc., 493 F. Supp. 3d 817 (N.D. Cal. 2020).

[25] “Huawei Technologies Co.’s ambition in consumer devices over the past year has been to decouple from Alphabet Inc.’s Android software entirely, culminating with the December 2024 launch of its made-in-China HarmonyOS Next as part of the Mate 70 smartphone. It is the most substantial attempt at building a third mobile ecosystem outside of Apple Inc.’s iPhone empire and the Google-led Android confederation. It also builds on the company’s considerable reach, resources, and nearly a billion existing users in China. See, e.g., Huawei’s Google-Free Phones Are Making Real Progress, Bloomberg (Jan. 28, 2025), https://www.bloomberg.com/news/features/2025-01-28/huawei-harmonyos-next-review-new-phone-seeks-to-break-apple-google-dominance.

[26] Siladitya Ray, Apple Is No Longer The World’s Biggest Smartphone Maker By Volume—As Samsung Ships More Handsets In Q1, Forbes (Apr. 15, 2024), https://www.forbes.com/sites/siladityaray/2024/04/15/apple-is-no-longer-the-worlds-biggest-smartphone-maker-by-volume-as-samsung-ships-more-handsets-in-q1; William Langley & Gloria Li, China’s Smartphone Makers Head Upmarket in European Push, Financ. Times (Nov. 17, 2024), https://www.ft.com/content/a982abf2-9564-4a8c-b8df-9e614ecd2151.

[27] See Lazar Radic & Mario Zúñiga, ICLE Comments to the Brazilian Ministry of Finance on Competition in Digital Markets, Int’l Ctr. L. Econ. (May 2, 2024), https://laweconcenter.org/resources/icle-comments-to-the-brazilian-ministry-of-finance-on-competition-in-digital-markets.

[28] Giuseppe Colangelo & Oscar Borgogno, App Stores as Public Utilities?, Truth Mark. (Jan. 19, 2022), https://truthonthemarket.com/2022/01/19/app-stores-as-public-utilities.

[29] See, e.g., Antitrust Cases Against Google by the European Union, Wikipedia, https://en.wikipedia.org/wiki/Antitrust_cases_against_Google_by_the_European_Union (last visited Feb. 11, 2025).

[30] Amazon Online Retailer: Investigation into Anti-Competitive Practices, Compet. Mark. Auth. (Oct. 1, 2013), https://www.gov.uk/cma-cases/amazon-online-retailer-investigation-into-anti-competitive-practices.

[31] Press Release, Justice Department Sues Google for Monopolizing Digital Advertising Technologies, U.S. Dep’t Justice (Jan. 24, 2023), https://www.justice.gov/opa/pr/justice-department-sues-google-monopolizing-digital-advertising-technologies.

[32] See Amended Complaint, FTC v. Facebook, Inc., Case No.: 1:20-cv-03590-JEB (D.D.C. Sep. 8, 2021), https://www.ftc.gov/legal-library/browse/cases-proceedings/191-0134-facebook-inc-ftc-v.

[33] Press Release, FTC Sues Amazon for Illegally Maintaining Monopoly Power, Fed. Trade Comm. (Sep. 26, 2023), https://www.ftc.gov/news-events/news/press-releases/2023/09/ftc-sues-amazon-illegally-maintaining-monopoly-power.

[34] OECD Peer Reviews of Competition Law and Policy: Brazil (2019), at 18, www.oecd.org/daf/competition/oecd-peer-reviews-of-competition-law-and-policy-brazil-2019.htm.

[35] Id. at 24.

[36] Giuseppe Colangelo, The Digital Markets Act and EU Antitrust Enforcement: Double & Triple Jeopardy, Int’l Ctr. L. Econ. (Mar. 23, 2022), https://laweconcenter.org/resources/the-digital-markets-act-and-eu-antitrust-enforcement-double-triple-jeopardy.

[37] How National Competition Agencies Can Strengthen the DMA, Eur. Compet. Netw. (Jun. 22, 2021), available at https://ec.europa.eu/competition/ecn/DMA_joint_EU_NCAs_paper_21.06.2021.pdf.

[38] For a detailed overview of CADE’s decisions in digital platforms and payments services, see Mercados de Plataformas Digitais, Cadernos de Cade (Aug. 2023), available at https://cdn.cade.gov.br/Portal/centrais-de-conteudo/publicacoes/estudos-economicos/cadernos-do-cade/Caderno_Plataformas-Digitais_Atualizado_29.08.pdf.

[39] See Geoffrey A. Manne, Against the Vertical Discrimination Presumption, Concurrences (May 2020), https://www.concurrences.com/en/review/numeros/no-2-2020/editorial/foreword; see also Dirk Auer, Matthew Lesh, & Lazar Radic, Digital Overload: How the Digital Markets, Competition and Consumers Bill’s Sweeping New Powers Threaten Britain’s Economy, 4 IEA Perspectives 16-21 (2023), available at https://iea.org.uk/wp-content/uploads/2023/09/Perspectives_4_Digital-overload_web.pdf.

[40] Ministério da Fazenda Apresenta Propostas para Aprimorar a Defesa da Concorrência No Ambiente de Plataformas Digitais, Ministério da Fazenda (Oct. 10, 2024), https://www.gov.br/fazenda/pt-br/assuntos/noticias/2024/outubro/ministerio-da-fazenda-apresenta-propostas-para-aprimorar-a-defesa-da-concorrencia-no-ambiente-de-plataformas-digitais.

[41] Online Intermediation Platforms Market Inquiry. Summary of Final Report and Remedial Actions, S. Afr. Compet. Comm. (Jul. 2023), available at https://www.compcom.co.za/wp-content/uploads/2023/07/CC_OIPMI-Summary-of-Findings-and-Remedial-action.pdf.

[42] See Geoffrey A. Manne & Mario A. Zúñiga, ICLE Comments on the COFECE Report on Marketplace Competition in Mexico, Int’l Ctr. L. Econ. (Apr. 23, 2024), https://laweconcenter.org/resources/icle-comments-on-the-cofece-report-on-marketplace-competition-in-mexico.

[43] Strategic Market Status Investigation into Google’s General Search and Search Advertising Services. Invitation to Comment, (Jan. 14, 2025), available at https://assets.publishing.service.gov.uk/media/678524823ef063b15dca0f04/Invitation_to_Comment.pdf; see also Geoffrey A. Manne, Brian Albrecht, Dirk Auer, Lazar Radic, & Mario A. Zúñiga, ICLE Comments to CMA’s SMS Investigation into Google’s General Search and Search-Advertising Services, Int’l Ctr. L. Econ. (Feb. 3, 2025), https://laweconcenter.org/resources/icle-comments-to-cmas-sms-investigation-into-googles-general-search-and-search-advertising-services.

[44] WJP Rule of Law Index. Brazil 2024 Overall Index Score, World Justice Proj., https://worldjusticeproject.org/rule-of-law-index/country/2024/Brazil (last visited Feb. 10, 2025).

Regulatory Comments

The View from the United Kingdom: A TOTM Q&A with John Fingleton

What is the UK doing in the field of digital-market regulation, and what do you think it is achieving?

There are probably four areas to consider.

The first is that the UK’s jurisdiction on mergers increased with Brexit. The UK is not subject to the same turnover threshold as under European law, and this enables it to call in a wider range of deals. It has also been able to look at different theories of harm in digital markets. It has done that in probably more than 10 cases where it examined issues like potential competition, vertical exclusion, etc.

Read the full piece here.

TOTM

ICLE Comments to UK Competition and Markets Authority on AI Partnerships

Executive Summary

We thank the Competition and Markets Authority (CMA) for this invitation to comment (ITC) on partnerships and other arrangements involving artificial intelligence (AI).[1] The International Center for Law & Economics (ICLE) is a nonprofit, nonpartisan global research and policy center founded with the goal of building the intellectual foundations for sensible, economically grounded policy. ICLE promotes the use of law & economics methodologies to inform public-policy debates and has longstanding expertise in the evaluation of competition law and policy. ICLE’s interest is to ensure that competition law remains grounded in clear rules, established precedent, a record of evidence, and sound economic analysis.

In our comments, we express concern that policymakers’ current concerns about competition in AI industries may be unwarranted. This is particularly true of the notion that incumbent digital platforms may use strategic partnerships with AI firms to insulate themselves from competition, including the three transactions that are central to the current ITC:

  1. Amazon’s partnership with Anthropic;
  2. Microsoft’s partnership with Mistral AI; and,
  3. Microsoft’s hiring of former Inflection AI employees (including, notably, founder Mustafa Suleyman) and related arrangements with the company.

Indeed, publicly available information suggests these transactions may not warrant merger-control investigation, let alone the heightened scrutiny that comes with potential Phase II proceedings. At the very least, given the AI industry’s competitive landscape, there is little to suggest these transactions merit closer scrutiny than similar deals in other sectors.

Overenforcement in the field of generative AI paradoxically could engender the very harms that policymakers currently seek to avert. As we explain in greater detail below, preventing so-called “big tech” firms from competing in these markets (for example, by threatening competition intervention as soon as they build strategic relationships with AI startups) may thwart an important source of competition needed to keep today’s leading generative-AI firms in check. In short, competition in AI markets is important[2], but trying naïvely to hold incumbent (in adjacent markets) tech firms back out of misguided fears they will come to dominate this space is likely to do more harm than good.

At a more granular level, there are important reasons to believe these agreements will have no negative impact on competition and they may, in fact, benefit consumers—e.g., by enabling those startups to raise capital and deploy their services at an even larger scale. In other words, they do not bear any of the prima facie traits of “killer acquisitions” or even of the acquisition of “nascent potential competitors”.[3]

Most importantly, these partnerships all involve the acquisition of minority stakes that do not entail any change of control over the target companies. Amazon, for instance, will not have “ownership control” of Anthropic. The precise amount of shares acquired has not been made public, but a reported investment of $4 billion in a company valued at $18.4 billion does not give Amazon a majority stake or sufficient voting rights to control the company or its competitive strategy. [4] It has also been reported that the deal will not give Amazon any seats on the Anthropic board or special voting rights (such as the power to veto some decisions).[5] There is thus little reason to believe Amazon has acquired indirect or de facto control over Anthropic.

Microsoft’s investment in Mistral AI is even smaller, in both absolute and relative terms. Microsoft is reportedly investing only $16 million in a company valued at $2.1 billion.[6] This represents less than 1% of Mistral’s equity, making it all but impossible for Microsoft to exert any significant control or influence over Mistral AI’s competitive strategy. Likewise, there have been no reports of Microsoft acquiring seats on Mistral AI’s board or special voting rights. We can therefore be confident that the deal will not affect competition in AI markets.

Much of the same applies to Microsoft’s dealings with Inflection AI. Microsoft hired two of the company’s three founders (which currently does not fall under the scope of merger laws), and also paid $620 million for nonexclusive rights to sell access to the Inflection AI model through its Azure Cloud.[7] Admittedly, the latter could entail (depending on deal’s specifics) some limited control over Inflection AI’s competitive strategy, but there is currently no evidence to suggest this will be the case.

Finally, none of these deals entails any competitively significant behavioral commitments from the target companies. There are no reports of exclusivity agreements or other commitments that would restrict third parties’ access to these firms’ underlying AI models. Again, this means the deals are extremely unlikely to negatively impact the competitive landscape in these markets.

At a more macro level, how the CMA deals with these proposed partnerships could have important ramifications for the UK economy. On the one hand, competition authorities (including the CMA) may be tempted to avoid the mistakes they arguably made during the formative years of what have become today’s largest online platforms.[8] The argument is that tougher enforcement may have reduced the high levels of concentration we see in these markets (the counterpoint is that these markets present features that naturally lead to relatively high levels of concentration and that this concentration benefits consumers in several ways[9]).

Unfortunately, this urge to curtail false negatives may come at the expense of judicial errors that hobble the UK economy. Discussing the EU’s AI Act during a recent interview, French President Emmanuel Macron implicitly suggested the UK is in a unique position to attract AI (and other tech) investments away from the European Union. In his words:

We can decide to regulate much faster and much stronger than our major competitors. But we will regulate things that we will no longer produce or invent. This is never a good idea…

When I look at France, it is probably the first country in terms of artificial intelligence in continental Europe. We are neck and neck with the British. They will not have this regulation on foundational models. But above all, we are all very far behind the Chinese and the Americans. [10]

To capitalise on this opportunity, however, the UK must foster a fertile environment for startup activity. The CMA’s approach to merger review in the AI industry is a small, but important, part of this picture. Looking at AI partnerships in an even-handed manner would signal a commitment to evidence-based policymaking that creates legal certainty for startups. For instance, sound merger-review principles would assure founders that corporate acquisition will remain a viable exit strategy in all but exceptional circumstances.

Of course, none of this is to say that established competition-law principles should play second fiddle to broader geopolitical ambitions. It does, however, suggest that the cost of false positives is particularly high in key industries like AI.

In short, how the CMA approaches these AI partnerships is of pivotal importance for both UK competition policy and the country’s broader economic ambitions. The CMA should therefore look at these partnerships with an open mind, despite the important political and reputational pressure to be seen as “doing something” in this cutting-edge industry. Generative AI is already changing the ways that many firms do business and improving employee productivity in many industries.[11] The technology is also increasingly useful in the field of scientific research, where it has enabled new complex models that expand scientists’ reach.[12] And while sensible enforcement is of vital importance to maintain competition and consumer welfare, it must be grounded in empirical evidence.

In the remainder of these comments, we will discuss the assumptions that underpin calls for heightened competition scrutiny in AI industries, and explain why they are unfounded. The big picture is that AI markets have grown rapidly, and new players are thriving. This would suggest that competition is intense. If incumbent firms could easily leverage their dominance into burgeoning generative-AI markets, we would not have seen the growth of such AI “unicorns” as OpenAI, Midjourney, and Anthropic, to name but a few. Furthermore, AI platforms developed by incumbent data collectors—such as Meta’s Llama or Google’s Bard, recently relaunched as Gemini—have struggled to gain traction. Of course, this is not to say that competition enforcers shouldn’t care about generative AI markets, but rather that there is currently no apparent need for increased competition scrutiny in these markets.

The comments proceed as follows. Section I summarises recent calls for competition intervention in generative-AI markets. Section II argues that many of these calls are underpinned by fears of data-related incumbency advantages (often referred to as “data-network effects”), including in the context of mergers. Section III explains why these effects are unlikely to play a meaningful role in generative-AI markets. Section IV concludes by offering five key takeaways to help policymakers better weigh the tradeoffs inherent to competition intervention (including merger control) in generative-AI markets.

I. Calls for Intervention in AI Markets

It was once (and frequently) said that Google’s “data monopoly” was unassailable: “If ‘big data’ is the oil of the information economy, Google has Standard Oil-like monopoly dominance—and uses that control to maintain its dominant position”.[13] Similar claims of data dominance have been attached to nearly all large online platforms, including Facebook (Meta), Amazon, and Uber.[14]

While some of these claims continue even today (for example, “big data” is a key component of the U.S. Justice Department’s (DOJ) Google Search and adtech antitrust suits),[15] a shiny new data target has emerged in the form of generative artificial intelligence (AI). The launch of ChatGPT in November 2022, as well as the advent of AI image-generation services like Midjourney and Dall-E, have dramatically expanded the public’s conception of what is—and what might be—possible to achieve with generative-AI technologies built on massive datasets.

While these services remain both in the early stages of mainstream adoption and in the throes of rapid, unpredictable technological evolution, they nevertheless already appear to be on the radar of competition policymakers around the world. Several antitrust enforcers appear to believe that, by acting now, they can avoid the “mistakes” that were purportedly made during the formative years of Web 2.0.[16] These mistakes, critics assert, include failing to appreciate the centrality of data in online markets, as well as letting mergers go unchecked and allowing early movers to entrench their market positions.[17] As Lina Khan, chair of the U.S. Federal Trade Commission (FTC), put it: “we are still reeling from the concentration that resulted from Web 2.0, and we don’t want to repeat the mis-steps of the past with AI”.[18]

This response from the competition-policy world is deeply troubling. Rather than engage in critical self-assessment and adopt an appropriately restrained stance, the enforcement community appears to be champing at the bit. Rather than assessing their prior assumptions based on the current technological moment, enforcers’ top priority appears to be figuring out how to rapidly and almost reflexively deploy existing competition tools to address the presumed competitive failures presented by generative AI.[19]

It is increasingly common for competition enforcers to argue that so-called “data-network effects” serve not only to entrench incumbents in those markets where the data is collected, but also to confer similar, self-reinforcing benefits in adjacent markets. Several enforcers have, for example, prevented large online platforms from acquiring smaller firms in adjacent markets, citing the risk that they could use their vast access to data to extend their dominance into these new markets.[20]

They have also launched consultations to ascertain the role that data plays in AI competition. For instance, in an ongoing consultation, the European Commission asks: “What is the role of data and what are its relevant characteristics for the provision of generative AI systems and/or components, including AI models?”[21] Unsurprisingly, the FTC has likewise been bullish about the risks posed by incumbents’ access to data. In comments submitted to the U.S. Copyright Office, for example, the FTC argued that:

The rapid development and deployment of AI also poses potential risks to competition. The rising importance of AI to the economy may further lock in the market dominance of large incumbent technology firms. These powerful, vertically integrated incumbents control many of the inputs necessary for the effective development and deployment of AI tools, including cloud-based or local computing power and access to large stores of training data. These dominant technology companies may have the incentive to use their control over these inputs to unlawfully entrench their market positions in AI and related markets, including digital content markets.[22]

Certainly, it stands to reason that the largest online platforms—including Alphabet, Meta, Apple, and Amazon—should have a meaningful advantage in the burgeoning markets for generative-AI services. After all, it is widely recognised that data is an essential input for generative AI.[23] This competitive advantage should be all the more significant, given that these firms have been at the forefront of AI technology for more than a decade. Over this period, Google’s DeepMind and AlphaGo and Meta’s NLLB-200 have routinely made headlines.[24] Apple and Amazon also have vast experience with AI assistants, and all of these firms use AI technology throughout their platforms.[25]

Contrary to what one might expect, however, the tech giants have, to date, been largely unable to leverage their vast data troves of data to outcompete startups like OpenAI and Midjourney. At the time of writing, OpenAI’s ChatGPT appears to be, by far, the most successful chatbot,[26] despite the large tech platforms’ apparent access to far more (and more up-to-date) data.

In these comments, we suggest that there are important lessons to glean from these developments, if only enforcers would stop to reflect. The meteoric rise of consumer-facing AI services should offer competition enforcers and policymakers an opportunity for introspection. As we explain, the rapid emergence of generative-AI technology may undercut many core assumptions of today’s competition-policy debates, which have focused largely on the rueful after-effects of the purported failure of 20th-century antitrust to address the allegedly manifest harms of 21st-century technology. These include the notions that data advantages constitute barriers to entry and can be leveraged to project dominance into adjacent markets; that scale itself is a market failure to be addressed by enforcers; and that the use of consumer data is inherently harmful to those consumers.

II. Data-Network Effects Theory and Enforcement

Proponents of more extensive intervention by competition enforcers into digital markets often cite data-network effects as a source of competitive advantage and barrier to entry (though terms like “economies of scale and scope” may offer more precision).[27] The crux of the argument is that “the collection and use of data creates a feedback loop of more data, which ultimately insulates incumbent platforms from entrants who, but for their data disadvantage, might offer a better product”.[28] This self-reinforcing cycle purportedly leads to market domination by a single firm. Thus, it is argued, e.g., that Google’s “ever-expanding control of user personal data, and that data’s critical value to online advertisers, creates an insurmountable barrier to entry for new competition”.[29]

But it is important to note the conceptual problems these claims face. Because data can be used to improve products’ quality and/or to subsidise their use, treating the possession of data as an entry barrier suggests that any product improvement or price reduction made by an incumbent could be a problematic entry barrier to any new entrant. This is tantamount to an argument that competition itself is a cognizable barrier to entry. Of course, it would be a curious approach to antitrust if competition were treated as a problem, as it would imply that firms should under-compete—i.e., should forego consumer-welfare enhancements—in order to inculcate a greater number of firms in a given market, simply for its own sake.[30]

Meanwhile, actual economic studies of data-network effects have been few and far between, with scant empirical evidence to support the theory.[31] Andrei Hagiu and Julian Wright’s theoretical paper offers perhaps the most comprehensive treatment of the topic to date.[32] The authors ultimately conclude that data-network effects can be of differing magnitudes and have varying effects on firms’ incumbency advantage.[33] They cite Grammarly (an AI writing-assistance tool) as a potential example: “As users make corrections to the suggestions offered by Grammarly, its language experts and artificial intelligence can use this feedback to continue to improve its future recommendations for all users”.[34]

This is echoed by other economists who contend that “[t]he algorithmic analysis of user data and information might increase incumbency advantages, creating lock-in effects among users and making them more reluctant to join an entrant platform”.[35] Crucially, some scholars take this logic a step further, arguing that platforms may use data from their “origin markets” in order to enter and dominate adjacent ones:

First, as we already mentioned, data collected in the origin market can be used, once the enveloper has entered the target market, to provide products more efficiently in the target market. Second, data collected in the origin market can be used to reduce the asymmetric information to which an entrant is typically subject when deciding to invest (for example, in R&D) to enter a new market. For instance, a search engine could be able to predict new trends from consumer searches and therefore face less uncertainty in product design.[36]

This possibility is also implicit in Hagiu and Wright’s paper.[37] Indeed, the authors’ theoretical model rests on an important distinction between within-user data advantages (that is, having access to more data about a given user) and across-user data advantages (information gleaned from having access to a wider user base). In both cases, there is an implicit assumption that platforms may use data from one service to gain an advantage in another market (because what matters is information about aggregate or individual user preferences, regardless of its origin).

Our review of the economic evidence suggests that several scholars have, with varying degrees of certainty, raised the possibility that incumbents may leverage data advantages to stifle competitors in their primary market or in adjacent ones (be it via merger or organic growth). As we explain below, however, there is ultimately little evidence to support such claims. Policymakers have, however, been keenly receptive to these limited theoretical findings, basing multiple decisions on these theories, often with little consideration given to the caveats that accompany them.[38]

Indeed, it is remarkable that, in its section on “[t]he data advantage for incumbents”, the “Furman Report” created for the UK government cited only two empirical economic studies, and they offer directly contradictory conclusions with respect to the question of the strength of data advantages.[39] Nevertheless, the Furman Report concludes that data “may confer a form of unmatchable advantage on the incumbent business, making successful rivalry less likely”,[40] and adopts without reservation “convincing” evidence from non-economists that have no apparent empirical basis.[41]

In the Google/Fitbit merger proceedings, the European Commission found that the combination of data from Google services with that of Fitbit devices would reduce competition in advertising markets:

Giving [sic] the large amount of data already used for advertising purposes that Google holds, the increase in Google’s data collection capabilities, which goes beyond the mere number of active users for which Fitbit has been collecting data so far, the Transaction is likely to have a negative impact on the development of an unfettered competition in the markets for online advertising.[42]

As a result, the Commission cleared the merger on the condition that Google refrain from using data from Fitbit devices for its advertising platform.[43] The Commission also appears likely to focus on similar issues in its ongoing investigation of Microsoft’s investment into OpenAI.[44]

Along similar lines, in its complaint to enjoin Meta’s purchase of Within Unlimited—makers of the virtual-reality (VR) fitness app Supernatural—the FTC relied on, among other things, the fact that Meta could leverage its data about VR-user behavior to inform its decisions and potentially outcompete rival VR-fitness apps: “Meta’s control over the Quest platform also gives it unique access to VR user data, which it uses to inform strategic decisions”.[45]

The DOJ’s twin cases against Google also implicate data leveraging and data barriers to entry. The agency’s adtech complaint charges that “Google intentionally exploited its massive trove of user data to further entrench its monopoly across the digital advertising industry”.[46] Similarly, in its Google Search complaint, the agency argues that:

Google’s anticompetitive practices are especially pernicious because they deny rivals scale to compete effectively. General search services, search advertising, and general search text advertising require complex algorithms that are constantly learning which organic results and ads best respond to user queries; the volume, variety, and velocity of data accelerates the automated learning of search and search advertising algorithms.[47]

Finally, updated merger guidelines published in recent years by several competition enforcers cite the acquisition of data as a potential source of competition concerns. For instance, the FTC and DOJ’s 2023 guidelines state that “acquiring data that helps facilitate matching, sorting, or prediction services may enable the platform to weaken rival platforms by denying them that data”.[48] Likewise, the CMA itself warns against incumbents acquiring firms in order to obtain their data and foreclose other rivals:

Incentive to foreclose rivals…

7.19(e) Particularly in complex and dynamic markets, firms may not focus on short term margins but may pursue other objectives to maximise their long-run profitability, which the CMA may consider. This may include… obtaining access to customer data….[49]

In short, competition authorities around the globe have been taking an increasingly aggressive stance on data-network effects. Among the ways this has manifested is in enforcement decisions based on fears that data collected by one platform might confer a decisive competitive advantage in adjacent markets. Unfortunately, these concerns rest on little to no empirical evidence, either in the economic literature or the underlying case records.

III. Data-Incumbency Advantages in Generative-AI Markets

Given the assertions detailed in the previous section, it would be reasonable to assume that firms such as Google, Meta, and Amazon should be in pole position to dominate the burgeoning market for generative AI. After all, these firms have not only been at the forefront of the field for the better part of a decade, but they also have access to vast troves of data, the likes of which their rivals could only dream when they launched their own services. Thus, the authors of the Furman Report caution that “to the degree that the next technological revolution centres around artificial intelligence and machine learning, then the companies most able to take advantage of it may well be the existing large companies because of the importance of data for the successful use of these tools”.[50]

To date, however, this is not how things have unfolded—although it bears noting these markets remain in flux and the competitive landscape is susceptible to change. The first significantly successful generative-AI service was arguably not from either Meta—which had been working on chatbots for years and had access to, arguably, the world’s largest database of actual chats—or Google. Instead, the breakthrough came from a previously unknown firm called OpenAI.

OpenAI’s ChatGPT service currently holds an estimated 60% of the market (though reliable numbers are somewhat elusive).[51] It broke the record for the fastest online service to reach 100 million users (in only a couple of months), more than four times faster than previous record holder TikTok.[52] Based on Google Trends data, ChatGPT is nine times more popular worldwide than Google’s own Bard service, and 14 times more popular in the United States.[53] In April 2023, ChatGPT reportedly registered 206.7 million unique visitors, compared to 19.5 million for Google’s Bard.[54] In short, at the time we are writing, ChatGPT appears to be the most popular chatbot. The entry of large players such as Google Bard or Meta AI appear to have had little effect thus far on its market position.[55]

The picture is similar in the field of AI-image generation. As of August 2023, Midjourney, Dall-E, and Stable Diffusion appear to be the three market leaders in terms of user visits.[56] This is despite competition from the likes of Google and Meta, who arguably have access to unparalleled image and video databases by virtue of their primary platform activities.[57]

This raises several crucial questions: how have these AI upstarts managed to be so successful, and is their success just a flash in the pan before Web 2.0 giants catch up and overthrow them? While we cannot answer either of these questions dispositively, we offer what we believe to be some relevant observations concerning the role and value of data in digital markets.

A first important observation is that empirical studies suggest that data exhibits diminishing marginal returns. In other words, past a certain point, acquiring more data does not confer a meaningful edge to the acquiring firm. As Catherine Tucker put it following a review of the literature: “Empirically there is little evidence of economies of scale and scope in digital data in the instances where one would expect to find them”.[58]

Likewise, following a survey of the empirical literature on this topic, Geoffrey Manne and Dirk Auer conclude that:

Available evidence suggests that claims of “extreme” returns to scale in the tech sector are greatly overblown. Not only are the largest expenditures of digital platforms unlikely to become proportionally less important as output increases, but empirical research strongly suggests that even data does not give rise to increasing returns to scale, despite routinely being cited as the source of this effect.[59]

In other words, being the firm with the most data appears to be far less important than having enough data. Moreover, this lower bar may be accessible to far more firms than one might initially think possible. Furthermore, obtaining sufficient data could become easier still—that is, the volume of required data could become even smaller—with technological progress. For instance, synthetic data may provide an adequate substitute to real-world data,[60] or may even outperform real-world data.[61] As Thibault Schrepel and Alex Pentland surmise:

[A]dvances in computer science and analytics are making the amount of data less relevant every day. In recent months, important technological advances have allowed companies with small data sets to compete with larger ones.[62]

Indeed, past a certain threshold, acquiring more data might not meaningfully improve a service, where other improvements (such as better training methods or data curation) could have a large impact. In fact, there is some evidence that excessive data impedes a service’s ability to generate results appropriate for a given query: “[S]uperior model performance can often be achieved with smaller, high-quality datasets than massive, uncurated ones. Data curation ensures that training datasets are devoid of noise, irrelevant instances, and duplications, thus maximizing the efficiency of every training iteration”.[63]

Consider, for instance, a user who wants to generate an image of a basketball. Using a model trained on an indiscriminate range and number of public photos in which a basketball appears surrounded by copious other image data, the user may end up with an inordinately noisy result. By contrast, a model trained with a better method on fewer, more carefully selected images could readily yield far superior results.[64] In one important example:

[t]he model’s performance is particularly remarkable, given its small size. “This is not a large language model trained on the whole Internet; this is a relatively small transformer trained for these tasks,” says Armando Solar-Lezama, a computer scientist at the Massachusetts Institute of Technology, who was not involved in the new study…. The finding implies that instead of just shoving ever more training data into machine-learning models, a complementary strategy might be to offer AI algorithms the equivalent of a focused linguistics or algebra class.[65]

Platforms’ current efforts are thus focused on improving the mathematical and logical reasoning of large language models (LLMs), rather than maximizing training datasets.[66]

Two points stand out. The first is that firms like OpenAI rely largely on publicly available datasets—such as GSM8K—to train their LLMs.[67] Second, the real challenge to create cutting-edge AI is not so much in collecting data, but rather in creating innovative AI-training processes and architectures:

[B]uilding a truly general reasoning engine will require a more fundamental architectural innovation. What’s needed is a way for language models to learn new abstractions that go beyond their training data and have these evolving abstractions influence the model’s choices as it explores the space of possible solutions.

We know this is possible because the human brain does it. But it might be a while before OpenAI, DeepMind, or anyone else figures out how to do it in silicon.[68]

Furthermore, it is worth noting that the data most relevant to startups in a given market may not be those held by large incumbent platforms in other markets, but rather data specific to the market in which the startup is active or, even better, to the given problem it is attempting to solve:

As Andres Lerner has argued, if you wanted to start a travel business, the data from Kayak or Priceline would be far more relevant. Or if you wanted to start a ride-sharing business, data from cab companies would be more useful than the broad, market-cross-cutting profiles Google and Facebook have. Consider companies like Uber, Lyft and Sidecar that had no customer data when they began to challenge established cab companies that did possess such data. If data were really so significant, they could never have competed successfully. But Uber, Lyft and Sidecar have been able to effectively compete because they built products that users wanted to use—they came up with an idea for a better mousetrap. The data they have accrued came after they innovated, entered the market and mounted their successful challenges—not before.[69]

The bottom line is that data is not the be-all and end-all that many in competition circles make it out to be. While data often may confer marginal benefits, there is little sense that these benefits are ultimately decisive.[70] As a result, incumbent platforms’ access to vast numbers of users and troves of data in their primary markets might only marginally affect their competitiveness in AI markets.

A related observation is that firms’ capabilities and other features of their products arguably play a more important role than the data they own.[71] Examples of this abound in digital markets. Google overthrew Yahoo in search, despite initially having access to far fewer users and far less data; Google and Apple overcame Microsoft in the smartphone operating system market, despite having comparatively tiny ecosystems (at the time) to leverage; and TikTok rose to prominence despite intense competition from incumbents like Instagram, which had much larger user bases. In each of these cases, important product-design decisions (such as the PageRank algorithm, recognizing the specific needs of mobile users,[72] and TikTok’s clever algorithm) appear to have played a far more significant role than initial user and data endowments (or lack thereof).

All of this suggests that the early success of OpenAI likely has more to do with its engineering decisions than with what data it did or did not possess. Going forward, OpenAI and its rivals’ ability to offer and monetise compelling stores offering custom versions of their generative-AI technology will arguably play a much larger role than (and contribute to) their ownership of data.[73] In other words, the ultimate challenge is arguably to create a valuable platform, of which data ownership is a consequence, but not a cause.

It is also important to note that, in those instances where it is valuable, data does not just fall from the sky. Instead, it is through smart business and engineering decisions that firms can generate valuable information (which does not necessarily correlate with owning more data).

For instance, OpenAI’s success with ChatGPT is often attributed to its more efficient algorithms and training models, which arguably have enabled the service to improve more rapidly than its rivals.[74] Likewise, the ability of firms like Meta and Google to generate valuable data for advertising arguably depends more on design decisions that elicit the right data from users, rather than the raw number of users in their networks.

Put differently, setting up a business so as to extract and organise the right information is more important than simply owning vast troves of data.[75] Even in those instances where high-quality data is an essential parameter of competition, it does not follow that having vaster databases or more users on a platform necessarily leads to better information for the platform.

Indeed, if data ownership consistently conferred a significant competitive advantage, these new firms would not be where they are today. This does not, of course, mean that data is worthless. Rather, it means that competition authorities should not assume that the mere possession of data is a dispositive competitive advantage, absent compelling empirical evidence to support such a finding. In this light, the current wave of decisions and competition-policy pronouncements that rely on data-related theories of harm are premature.

IV. Five Key Takeaways: Reconceptualizing the Role of Data in Generative-AI Competition

As we explain above, data network effects are not the source of barriers to entry that they are sometimes made out to be. The picture is far more nuanced. Indeed, as economist Andres Lerner demonstrated almost a decade ago (and the assessment is only truer today):

Although the collection of user data is generally valuable for online providers, the conclusion that such benefits of user data lead to significant returns to scale and to the entrenchment of dominant online platforms is based on unsupported assumptions. Although, in theory, control of an “essential” input can lead to the exclusion of rivals, a careful analysis of real-world evidence indicates that such concerns are unwarranted for many online businesses that have been the focus of the “big data” debate.[76]

While data can be an important part of the competitive landscape, incumbents’ data advantages are far less pronounced than today’s policymakers commonly assume. In that respect, five main lessons emerge:

  1. Data can be (very) valuable, but beyond a certain threshold, those benefits tend to diminish. In other words, having the most data is less important than having enough;
  2. The ability to generate valuable information does not depend on the number of users or the amount of data a platform has previously acquired;
  3. The most important datasets are not always proprietary;
  4. Technological advances and platforms’ engineering decisions affect their ability to generate valuable information, and this effect swamps effects stemming from the amount of data they own; and
  5. How platforms use data is arguably more important than what data or how much data they own.

These lessons have important ramifications for policy debates over the competitive implications of data in technologically evolving areas.

First, it is not surprising that startups, rather than incumbents, have taken an early lead in generative AI (and in Web 2.0 before it). After all, if data-incumbency advantages are small or even nonexistent, then smaller and more nimble players may have an edge over established tech platforms. This is all the more likely given that, despite significant efforts, the biggest tech platforms were unable to offer compelling generative-AI chatbots and image-generation services before the emergence of ChatGPT, Dall-E, Midjourney, etc.

This failure suggests that, in a process akin to Clayton Christensen’s “innovator’s dilemma”,[77] something about the incumbent platforms’ existing services and capabilities was holding them back in those markets. Of course, this does not necessarily mean that those same services or capabilities could not become an advantage when the generative-AI market starts addressing issues of monetisation and scale.[78] But it does mean that assumptions about a firm’s market power based on its possession of data are off the mark.

Another important implication is that, paradoxically, policymakers’ efforts to prevent Web 2.0 platforms from competing freely in generative-AI markets may ultimately backfire and lead to less, not more, competition. Indeed, OpenAI is currently acquiring a sizeable lead in generative AI. While competition authorities might like to think that other startups will emerge and thrive in this space, it is important not to confuse desires with reality. While there currently exists a vibrant AI-startup ecosystem, there is at least a case to be made that the most significant competition for today’s AI leaders will come from incumbent Web 2.0 platforms—although nothing is certain at this stage.

Policymakers should beware not to stifle that competition on the misguided assumption that competitive pressure from large incumbents is somehow less valuable to consumers than that which originates from smaller firms. This is particularly relevant in the context of merger control. An acquisition (or an “acqui-hire”) by a “big tech” company does not only, in principle, entail a minor risk to harm competition (it is not a horizontal merger[79]) but could create a stronger competitor to the current market leaders.

Finally, even if there were a competition-related market failure to be addressed in the field of generative AI (which is anything but clear), the remedies under contemplation may do more harm than good. Some of the solutions that have been put forward have highly ambiguous effects on consumer welfare. Scholars have shown that, e.g., mandated data sharing—a solution championed by EU policymakers, among others—may sometimes dampen competition in generative-AI markets.[80] This is also true of legislation like the General Data Protection Regulation (GDPR), which makes it harder for firms to acquire more data about consumers—assuming such data is, indeed, useful to generative-AI services.[81]

In sum, it is a flawed understanding of the economics and practical consequences of large agglomerations of data that lead competition authorities to believe that data-incumbency advantages are likely to harm competition in generative AI markets—or even in the data-intensive Web 2.0 markets that preceded them. Indeed, competition or regulatory intervention to “correct” data barriers and data network and scale effects is liable to do more harm than good.

 

[1] CMA Seeks Views on AI Partnerships and Other Arrangements, Competition and Markets Authority (24 Apr. 2024), https://www.gov.uk/government/news/cma-seeks-views-on-ai-partnerships-and-other-arrangements.

[2] AI, of course, is not a market (at least not a relevant antitrust market). Within the realm of what is being called “AI”, companies can offer myriad products and services, and specific relevant markets would need to be defined before assessing harm to competition in specific cases.

[3] OECD, Start-ups, Killer Acquisitions and Merger Control (2020), available at https://web-archive.oecd.org/2020-10-16/566931-start-ups-killer-acquisitions-and-merger-control-2020.pdf.

[4] Kate Rooney & Hayden Field, Amazon Spends $2.75 Billion on AI Startup Anthropic in Its Largest Venture Investment Yet, CNBC (27 Mar. 2024), https://www.cnbc.com/2024/03/27/amazon-spends-2point7b-on-startup-anthropic-in-largest-venture-investment.html.

[5] Id.

[6] Tom Warren, Microsoft Partners with Mistral in Second AI Deal Beyond OpenAI, The Verge (26 Feb. 2024), https://www.theverge.com/2024/2/26/24083510/microsoft-mistral-partnership-deal-azure-ai.

[7] Mark Sullivan, Microsoft’s Inflection AI Grab Likely Cost More Than $1 Billion, Says An Insider (Exclusive), Fast Company  (26 Mar. 2024), https://www.fastcompany.com/91069182/microsoft-inflection-ai-exclusive; see also, Mustafa Suleyman, DeepMind and Inflection Co-Founder, Joins Microsoft to Lead Copilot, Microsoft Corporate Blogs (19 Mar. 2024), https://blogs.microsoft.com/blog/2024/03/19/mustafa-suleyman-deepmind-and-inflection-co-founder-joins-microsoft-to-lead-copilot; Krystal Hu & Harshita Mary Varghese, Microsoft Pays Inflection $ 650 Mln in Licensing Deal While Poaching Top Talent, Source Says, Reuters (21 Mar. 2024), https://www.reuters.com/technology/microsoft-agreed-pay-inflection-650-mln-while-hiring-its-staff-information-2024-03-21; The New Inflection: An Important Change to How We’ll Work, Inflection (Mar. 19, 2024), https://inflection.ai/the-new-inflection; Julie Bort, Here’s How Microsoft Is Providing a ‘Good Outcome’ for Inflection AI VCs, as Reid Hoffman Promised, Tech Crunch (21 Mar. 2024), https://techcrunch.com/2024/03/21/microsoft-inflection-ai-investors-reid-hoffman-bill-gates.

[8] See Rana Foroohar, The Great US-Europe Antitrust Divide, Financial Times (5 Feb. 2024), https://www.ft.com/content/065a2f93-dc1e-410c-ba9d-73c930cedc14 (quoting FTC Chair Lina Khan “we are still reeling from the concentration that resulted from Web 2.0, and we don’t want to repeat the mis-steps of the past with AI”).

[9] See, e.g., Geoffrey Manne & Dirk Auer, Antitrust Dystopia and Antitrust Nostalgia: Alarmist Theories of Harm in Digital Markets and Their Origins, 28 Geo. Mason L. Rev. 1279, 1294 (2021). (“But while these increasing returns can cause markets to become more concentrated, they also imply that it is often more efficient to have a single firm serve the entire market. For instance, to a first approximation, network effects, which are one potential source of increasing returns, imply that it is more valuable-not just to the platform, but to the users themselves-for all users to be present on the same network or platform. In other words, fragmentation—de-concentration—may be more of a problem than monopoly in markets that exhibit network effects and increasing returns to scale. Given this, it is far from clear that antitrust authorities should try to prevent consolidation in markets that exhibit such characteristics, nor is it self-evident that these markets somehow produce less consumer surplus than markets that do not exhibit such increasing returns”.)

[10] Javier Espinoza & Leila Abboud, EU’s New AI Act Risks Hampering Innovation, Warns Emmanuel Macron, Financial Times (11 Dec. 2023), https://www.ft.com/content/9339d104-7b0c-42b8-9316-72226dd4e4c0.

[11] See, e.g., Michael Chui, et al., The Economic Potential of Generative AI: The Next Productivity Frontier, McKinsey (14 Jun. 2023), https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-AI-the-next-productivity-frontier.

[12] See, e.g., Zhuoran Qiao, Weili Nie, Arash Vahdat, Thomas F. Miller III, & Animashree Anandkumar, State-Specific Protein–Ligand Complex Structure Prediction with a Multiscale Deep Generative Model, 6 Nature Machine Intelligence, 195-208 (2024); see also Jaemin Seo, Sang Kyeun Kim, Azarakhsh Jalalvand, Rory Conlin, Andrew Rothstein, Joseph Abbate, Keith Erickson, Josiah Wai, Ricardo Shousha, & Egemen Kolemen, Avoiding Fusion Plasma Tearing Instability with Deep Reinforcement Learning, 626 Nature, 746-751 (2024).

[13] Nathan Newman, Taking on Google’s Monopoly Means Regulating Its Control of User Data, Huffington Post (24 Sep. 2013), http://www.huffingtonpost.com/nathan-newman/taking-on-googlesmonopol_b_3980799.html.

[14] See, e.g., Lina Khan & K. Sabeel Rahman, Restoring Competition in the U.S. Economy, in Untamed: How to Check Corporate, Financial, and Monopoly Power (Nell Abernathy, Mike Konczal, & Kathryn Milani, eds., 2016), at 23 (“From Amazon to Google to Uber, there is a new form of economic power on display, distinct from conventional monopolies and oligopolies…, leverag[ing] data, algorithms, and internet-based technologies… in ways that could operate invisibly and anticompetitively”.); Mark Weinstein, I Changed My Mind—Facebook Is a Monopoly, Wall St. J. (1 Oct. 2021), https://www.wsj.com/articles/facebook-is-monopoly-metaverse-users-advertising-platforms-competition-mewe-big-tech-11633104247 (“[T]he glue that holds it all together is Facebook’s monopoly over data…. Facebook’s data troves give it unrivaled knowledge about people, governments—and its competitors”.).

[15] See, generally, Abigail Slater, Why “Big Data” Is a Big Deal, The Reg. Rev. (6 Nov. 2023), https://www.theregreview.org/2023/11/06/slater-why-big-data-is-a-big-deal; Amended Complaint at ¶36, United States v. Google, 1:20-cv-03010- (D.D.C. 2020); Complaint at ¶37, United States v. Google, 1:23-cv-00108 (E.D. Va. 2023), https://www.justice.gov/opa/pr/justice-department-sues-google-monopolizing-digital-advertising-technologies (“Google intentionally exploited its massive trove of user data to further entrench its monopoly across the digital advertising industry”.).

[16] See, e.g., Press Release, Commission Launches Calls for Contributions on Competition in Virtual Worlds and Generative AI, European Commission (9 Jan. 2024), https://ec.europa.eu/commission/presscorner/detail/en/IP_24_85; Krysten Crawford, FTC’s Lina Khan Warns Big Tech over AI, SIEPR (3 Nov. 2020), https://siepr.stanford.edu/news/ftcs-lina-khan-warns-big-tech-over-ai (“Federal Trade Commission Chair Lina Khan delivered a sharp warning to the technology industry in a speech at Stanford on Thursday: Antitrust enforcers are watching what you do in the race to profit from artificial intelligence”.) (emphasis added).

[17] See, e.g., John M. Newman, Antitrust in Digital Markets, 72 Vand. L. Rev. 1497, 1501 (2019) (“[T]he status quo has frequently failed in this vital area, and it continues to do so with alarming regularity. The laissez-faire approach advocated for by scholars and adopted by courts and enforcers has allowed potentially massive harms to go unchecked”.); Bertin Martins, Are New EU Data Market Regulations Coherent and Efficient?, Bruegel Working Paper 21/23 (2023), https://www.bruegel.org/working-paper/are-new-eu-data-market-regulations-coherent-and-efficient (“Technical restrictions on access to and re-use of data may result in failures in data markets and data-driven services markets”.); Valéria Faure-Muntian, Competitive Dysfunction: Why Competition Law Is Failing in a Digital World, The Forum Network (24 Feb. 2021), https://www.oecd-forum.org/posts/competitive-dysfunction-why-competition-law-is-failing-in-a-digital-world.

[18] See Foroohar, supra note 8.

[19] See, e.g., Press Release, European Commission, supra note 16.

[20] See infra, Section II. Commentators have also made similar claims; see, e.g., Ganesh Sitaram & Tejas N. Narechania, It’s Time for the Government to Regulate AI. Here’s How, Politico (15 Jan. 2024) (“All that cloud computing power is used to train foundation models by having them “learn” from incomprehensibly huge quantities of data. Unsurprisingly, the entities that own these massive computing resources are also the companies that dominate model development. Google has Bard, Meta has LLaMa. Amazon recently invested $4 billion into one of OpenAI’s leading competitors, Anthropic. And Microsoft has a 49 percent ownership stake in OpenAI — giving it extraordinary influence, as the recent board struggles over Sam Altman’s role as CEO showed”.).

[21] Press Release, European Commission, supra note 16.

[22] Comment of U.S. Federal Trade Commission to the U.S. Copyright Office, Artificial Intelligence and Copyright, Docket No. 2023-6 (30 Oct. 2023), at 4, https://www.ftc.gov/legal-library/browse/advocacy-filings/comment-federal-trade-commission-artificial-intelligence-copyright (emphasis added).

[23] See, e.g., Joe Caserta, Holger Harreis, Kayvaun Rowshankish, Nikhil Srinidhi, & Asin Tavakoli, The Data Dividend: Fueling Generative AI, McKinsey Digital (15 Sep. 2023), https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-data-dividend-fueling-generative-ai (“Your data and its underlying foundations are the determining factors to what’s possible with generative AI”.).

[24] See, e.g., Tim Keary, Google DeepMind’s Achievements and Breakthroughs in AI Research, Techopedia (11 Aug. 2023), https://www.techopedia.com/google-deepminds-achievements-and-breakthroughs-in-ai-research; See, e.g., Will Douglas Heaven, Google DeepMind Used a Large Language Model to Solve an Unsolved Math Problem, MIT Technology Review (14 Dec. 2023), https://www.technologyreview.com/2023/12/14/1085318/google-deepmind-large-language-model-solve-unsolvable-math-problem-cap-set; see also, A Decade of Advancing the State-of-the-Art in AI Through Open Research, Meta (30 Nov. 2023), https://about.fb.com/news/2023/11/decade-of-advancing-ai-through-open-research; see also, 200 Languages Within a Single AI Model: A Breakthrough in High-Quality Machine Translation, Meta, https://ai.meta.com/blog/nllb-200-high-quality-machine-translation (last visited 18 Jan. 2023).

[25] See, e.g., Jennifer Allen, 10 Years of Siri: The History of Apple’s Voice Assistant, Tech Radar (4 Oct. 2021), https://www.techradar.com/news/siri-10-year-anniversary; see also Evan Selleck, How Apple Is Already Using Machine Learning and AI in iOS, Apple Insider (20 Nov. 2023), https://appleinsider.com/articles/23/09/02/how-apple-is-already-using-machine-learning-and-ai-in-ios; see also, Kathleen Walch, The Twenty Year History Of AI At Amazon, Forbes (19 July 2019), https://www.forbes.com/sites/cognitiveworld/2019/07/19/the-twenty-year-history-of-ai-at-amazon.

[26] See infra Section III.

[27] See, e.g., Cédric Argenton & Jens Prüfer, Search Engine Competition with Network Externalities, 8 J. Comp. L. & Econ. 73, 74 (2012).

[28] John M. Yun, The Role of Big Data in Antitrust, in The Global Antitrust Institute Report on the Digital Economy (Joshua D. Wright & Douglas H. Ginsburg, eds., 11 Nov. 2020) at 233, https://gaidigitalreport.com/2020/08/25/big-data-and-barriers-to-entry/#_ftnref50; see also, e.g., Robert Wayne Gregory, Ola Henfridsson, Evgeny Kaganer, & Harris Kyriakou, The Role of Artificial Intelligence and Data Network Effects for Creating User Value, 46 Acad. of Mgmt. Rev. 534 (2020), final pre-print version at 4, http://wrap.warwick.ac.uk/134220) (“A platform exhibits data network effects if, the more that the platform learns from the data it collects on users, the more valuable the platform becomes to each user”.); see also, Karl Schmedders, José Parra-Moyano, & Michael Wade, Why Data Aggregation Laws Could be the Answer to Big Tech Dominance, Silicon Republic (6 Feb. 2024), https://www.siliconrepublic.com/enterprise/data-ai-aggregation-laws-regulation-big-tech-dominance-competition-antitrust-imd.

[29] Nathan Newman, Search, Antitrust, and the Economics of the Control of User Data, 31 Yale J. Reg. 401, 409 (2014) (emphasis added); see also id. at 420 & 423 (“While there are a number of network effects that come into play with Google, [“its intimate knowledge of its users contained in its vast databases of user personal data”] is likely the most important one in terms of entrenching the company’s monopoly in search advertising…. Google’s overwhelming control of user data… might make its dominance nearly unchallengeable”.).

[30] See also Yun, supra note 28 at 229 (“[I]nvestments in big data can create competitive distance between a firm and its rivals, including potential entrants, but this distance is the result of a competitive desire to improve one’s product”.).

[31] For a review of the literature on increasing returns to scale in data (this topic is broader than data-network effects) see Geoffrey Manne & Dirk Auer, Antitrust Dystopia and Antitrust Nostalgia: Alarmist Theories of Harm in Digital Markets and Their Origins, 28 Geo Mason L. Rev. 1281, 1344 (2021).

[32] Andrei Hagiu & Julian Wright, Data-Enabled Learning, Network Effects, and Competitive Advantage, 54 RAND J. Econ. 638 (2023).

[33] Id. at 639. The authors conclude that “Data-enabled learning would seem to give incumbent firms a competitive advantage. But how strong is this advantage and how does it differ from that obtained from more traditional mechanisms…”.

[34] Id.

[35] Bruno Jullien & Wilfried Sand-Zantman, The Economics of Platforms: A Theory Guide for Competition Policy, 54 Info. Econ. & Pol’y 10080, 101031 (2021).

[36] Daniele Condorelli & Jorge Padilla, Harnessing Platform Envelopment in the Digital World, 16 J. Comp. L. & Pol’y 143, 167 (2020).

[37] See Hagiu & Wright, supra note 32.

[38] For a summary of these limitations, see generally Catherine Tucker, Network Effects and Market Power: What Have We Learned in the Last Decade?, Antitrust (2018) at 72, available at https://sites.bu.edu/tpri/files/2018/07/tucker-network-effects-antitrust2018.pdf; see also Manne & Auer, supra note 31, at 1330.

[39] See Jason Furman, Diane Coyle, Amelia Fletcher, Derek McAuley, & Philip Marsden (Dig. Competition Expert Panel), Unlocking Digital Competition (2019) at 32-35 (“Furman Report”), available at https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/785547/unlocking_digital_competition_furman_review_web.pdf.

[40] Id. at 34.

[41] Id. at 35. To its credit, it should be noted, the Furman Report does counsel caution before mandating access to data as a remedy to promote competition. See id. at 75. That said, the Furman Report maintains that such a remedy should certainly be on the table because “the evidence suggests that large data holdings are at the heart of the potential for some platform markets to be dominated by single players and for that dominance to be entrenched in a way that lessens the potential for competition for the market”. Id. In fact, the evidence does not show this.

[42] Case COMP/M.9660 — Google/Fitbit, Commission Decision (17 Dec. 2020) (Summary at O.J. (C 194) 7), available at https://ec.europa.eu/competition/mergers/cases1/202120/m9660_3314_3.pdf at 455.

[43] Id. at 896.

[44] See Natasha Lomas, EU Checking if Microsoft’s OpenAI Investment Falls Under Merger Rules, TechCrunch (9 Jan. 2024), https://techcrunch.com/2024/01/09/openai-microsoft-eu-merger-rules.

[45] Amended Complaint at 11, Meta/Zuckerberg/Within, Fed. Trade Comm’n. (2022) (No. 605837), available at https://www.ftc.gov/system/files/ftc_gov/pdf/D09411%20-%20AMENDED%20COMPLAINT%20FILED%20BY%20COUNSEL%20SUPPORTING%20THE%20COMPLAINT%20-%20PUBLIC%20%281%29_0.pdf.

[46] Amended Complaint (D.D.C), supra note 15 at ¶37.

[47] Amended Complaint (E.D. Va), supra note 15 at ¶8.

[48] Merger Guidelines, US Dep’t of Justice & Fed. Trade Comm’n (2023) at 25, available at https://www.ftc.gov/system/files/ftc_gov/pdf/2023_merger_guidelines_final_12.18.2023.pdf.

[49] Merger Assessment Guidelines, Competition and Mkts. Auth (2021) at  ¶7.19(e), available at https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1051823/MAGs_for_publication_2021_–_.pdf.

[50] Furman Report, supra note 39, at ¶4.

[51] See, e.g., Chris Westfall, New Research Shows ChatGPT Reigns Supreme in AI Tool Sector, Forbes (16 Nov. 2023), https://www.forbes.com/sites/chriswestfall/2023/11/16/new-research-shows-chatgpt-reigns-supreme-in-ai-tool-sector/?sh=7de5de250e9c.

[52] See Krystal Hu, ChatGPT Sets Record for Fastest-Growing User Base, Reuters (2 Feb. 2023), https://www.reuters.com/technology/chatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01; Google: The AI Race Is On, App Economy Insights (7 Feb. 2023), https://www.appeconomyinsights.com/p/google-the-ai-race-is-on.

[53] See Google Trends, https://trends.google.com/trends/explore?date=today%205-y&q=%2Fg%2F11khcfz0y2,%2Fg%2F11ts49p01g&hl=en (last visited 12 Jan. 2024) and https://trends.google.com/trends/explore?date=today%205-y&geo=US&q=%2Fg%2F11khcfz0y2,%2Fg%2F11ts49p01g&hl=en (last visited 12 Jan. 2024).

[54] See David F. Carr, As ChatGPT Growth Flattened in May, Google Bard Rose 187%, Similarweb Blog (5 Jun. 2023), https://www.similarweb.com/blog/insights/ai-news/chatgpt-bard.

[55] See Press Release, Introducing New AI Experiences Across Our Family of Apps and Devices, Meta (27 Sep. 2023), https://about.fb.com/news/2023/09/introducing-ai-powered-assistants-characters-and-creative-tools; Sundar Pichai, An Important Next Step on Our AI Journey, Google Keyword Blog (Feb. 6, 2023), https://blog.google/technology/ai/bard-google-ai-search-updates.

[56] See Ion Prodan, 14 Million Users: Midjourney’s Statistical Success, Yon (Aug. 19, 2023), https://yon.fun/midjourney-statistics; see also Andrew Wilson, Midjourney Statistics: Users, Polls, & Growth [Oct 2023], ApproachableAI (13 Oct. 2023), https://approachableai.com/midjourney-statistics.

[57] See Hema Budaraju, New Ways to Get Inspired with Generative AI in Search, Google Keyword Blog (12 Oct. 2023), https://blog.google/products/search/google-search-generative-ai-october-update; Imagine with Meta AI, Meta (last visited Jan. 12, 2024), https://imagine.meta.com.

[58] Catherine Tucker, Digital Data, Platforms and the Usual [Antitrust] Suspects: Network Effects, Switching Costs, Essential Facility, 54 Rev. Indus. Org. 683, 686 (2019).

[59] Manne & Auer, supra note 31, at 1345.

[60] See, e.g., Stefanie Koperniak, Artificial Data Give the Same Results as Real Data—Without Compromising Privacy, MIT News (3 Mar. 2017), https://news.mit.edu/2017/artificial-data-give-same-results-as-real-data-0303 (“[Authors] describe a machine learning system that automatically creates synthetic data—with the goal of enabling data science efforts that, due to a lack of access to real data, may have otherwise not left the ground. While the use of authentic data can cause significant privacy concerns, this synthetic data is completely different from that produced by real users—but can still be used to develop and test data science algorithms and models”.).

[61] See, e.g., Rachel Gordon, Synthetic Imagery Sets New Bar in AI Training Efficiency, MIT News (20 Nov. 2023), https://news.mit.edu/2023/synthetic-imagery-sets-new-bar-ai-training-efficiency-1120 (“By using synthetic images to train machine learning models, a team of scientists recently surpassed results obtained from traditional ‘real-image’ training methods.).

[62] Thibault Schrepel & Alex ‘Sandy’ Pentland, Competition Between AI Foundation Models: Dynamics and Policy Recommendations, MIT Connection Science Working Paper (Jun. 2023), at 8.

[63] Igor Susmelj, Optimizing Generative AI: The Role of Data Curation, Lightly (last visited 15 Jan. 2024), https://www.lightly.ai/post/optimizing-generative-ai-the-role-of-data-curation.

[64] See, e.g., Xiaoliang Dai, et al., Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack, ArXiv (27 Sep. 2023) at 1, https://ar5iv.labs.arxiv.org/html/2309.15807 (“[S]upervised fine-tuning with a set of surprisingly small but extremely visually appealing images can significantly improve the generation quality”.); see also, Hu Xu, et al., Demystifying CLIP Data, ArXiv (28 Sep. 2023), https://arxiv.org/abs/2309.16671.

[65] Lauren Leffer, New Training Method Helps AI Generalize like People Do, Sci. Am. (26 Oct. 2023), https://www.scientificamerican.com/article/new-training-method-helps-ai-generalize-like-people-do (discussing Brendan M. Lake & Marco Baroni, Human-Like Systematic Generalization Through a Meta-Learning Neural Network, 623 Nature 115 (2023)).

[66] Timothy B. Lee, The Real Research Behind the Wild Rumors about OpenAI’s Q* Project, Ars Technica (Dec. 8, 2023), https://arstechnica.com/ai/2023/12/the-real-research-behind-the-wild-rumors-about-openais-q-project.

[67] Id.; see also GSM8K, Papers with Code (last visited 18 Jan. 2023), available at https://paperswithcode.com/dataset/gsm8k; MATH Dataset, GitHub (last visited 18 Jan. 2024), available at https://github.com/hendrycks/math.

[68] Lee, supra note 66.

[69] Geoffrey Manne & Ben Sperry, Debunking the Myth of a Data Barrier to Entry for Online Services, Truth on the Market (26 Mar. 2015), https://truthonthemarket.com/2015/03/26/debunking-the-myth-of-a-data-barrier-to-entry-for-online-services (citing Andres V. Lerner, The Role of ‘Big Data’ in Online Platform Competition (26 Aug. 2014), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2482780.).

[70] See Catherine Tucker, Digital Data as an Essential Facility: Control, CPI Antitrust Chron. (Feb. 2020), at 11 (“[U]ltimately the value of data is not the raw manifestation of the data itself, but the ability of a firm to use this data as an input to insight”.).

[71] Or, as John Yun put it, data is only a small component of digital firms’ production function. See Yun, supra note 28, at 235 (“Second, while no one would seriously dispute that having more data is better than having less, the idea of a data-driven network effect is focused too narrowly on a single factor improving quality. As mentioned in supra Section I.A, there are a variety of factors that enter a firm’s production function to improve quality”.).

[72] Luxia Le, The Real Reason Windows Phone Failed Spectacularly, History–Computer (8 Aug. 2023), https://history-computer.com/the-real-reason-windows-phone-failed-spectacularly.

[73] Introducing the GPT Store, Open AI (Jan. 10, 2024), https://openai.com/blog/introducing-the-gpt-store.

[74] See Michael Schade, How ChatGPT and Our Language Models are Developed, OpenAI, https://help.openai.com/en/articles/7842364-how-chatgpt-and-our-language-models-are-developed; Sreejani Bhattacharyya, Interesting Innovations from OpenAI in 2021, AIM (1 Jan. 2022), https://analyticsindiamag.com/interesting-innovations-from-openai-in-2021; Danny Hernadez & Tom B. Brown, Measuring the Algorithmic Efficiency of Neural Networks, ArXiv (8 May 2020), https://arxiv.org/abs/2005.04305.

[75] See Yun, supra note 28 at 235 (“Even if data is primarily responsible for a platform’s quality improvements, these improvements do not simply materialize with the presence of more data—which differentiates the idea of data-driven network effects from direct network effects. A firm needs to intentionally transform raw, collected data into something that provides analytical insights. This transformation involves costs including those associated with data storage, organization, and analytics, which moves the idea of collecting more data away from a strict network effect to more of a ‘data opportunity.’”).

[76] Lerner, supra note 69, at 4-5 (emphasis added).

[77] See Clayton M. Christensen, The Innovator’s Dilemma: When New Technologies Cause Great Firms to Fail (2013).

[78] See David J. Teece, Dynamic Capabilities and Strategic Management: Organizing for Innovation and Growth (2009).

[79] Antitrust merger enforcement has long assumed that horizontal mergers are more likely to cause problems for consumers than the latter. See: Geoffrey A. Manne, Dirk Auer, Brian Albrecht, Eric Fruits, Daniel J. Gilman, & Lazar Radic, Comments of the International Center for Law and Economics on the FTC & DOJ Draft Merger Guidelines, (18 Sep. 2023), https://laweconcenter.org/resources/comments-of-the-international-center-for-law-and-economics-on-the-ftc-doj-draft-merger-guidelines.

[80] See Hagiu & Wright, supra note 32, at 32 (“We use our dynamic framework to explore how data sharing works: we find that it in-creases consumer surplus when one firm is sufficiently far ahead of the other by making the laggard more competitive, but it decreases consumer surplus when the firms are sufficiently evenly matched by making firms compete less aggressively, which in our model means subsidizing consumers less”.); see also Lerner, supra note 69.

[81] See, e.g., Hagiu & Wright, id. (“We also use our model to highlight an unintended consequence of privacy policies. If such policies reduce the rate at which firms can extract useful data from consumers, they will tend to increase the incumbent’s competitive advantage, reflecting that the entrant has more scope for new learning and so is affected more by such a policy”.); Jian Jia, Ginger Zhe Jin, & Liad Wagman, The Short-Run Effects of the General Data Protection Regulation on Technology Venture Investment, 40 Marketing Sci. 593 (2021) (finding GDPR reduced investment in new and emerging technology firms, particularly in data-related ventures); James Campbell, Avi Goldfarb, & Catherine Tucker, Privacy Regulation and Market Structure, 24 J. Econ. & Mgmt. Strat. 47 (2015) (“Consequently, rather than increasing competition, the nature of transaction costs implied by privacy regulation suggests that privacy regulation may be anti-competitive”.).

Regulatory Comments

Comments to UK Information Commissioner’s Office on ‘Pay or Consent’

I thank the ICO for the opportunity to submit comments on “pay or consent.” My focus will be on the question of how to deal with consent to personal data processing needed to fund the provision of a service that does not fit the legal basis of contractual necessity.[1]

Personalised Advertising: Contractual Necessity or Consent?

Under the GDPR, personal data may only be processed if one of the lawful bases from Article 6 applies. They include, in particular, consent, contractual necessity, and legitimate interests. When processing is necessary for the performance of a contract (Article 6(1)(b)), then that is the basis on which the controller should rely. One may think that if data processing (e.g., for targeting ads) is necessary to fund a free-of-charge service, that should count as contractual necessity. I am unaware of data protection authorities disputing this in principle, but there is a tendency to interpret contractual necessity narrowly.[2] Notably, the EDPB decided in December 2022 that Facebook and Instagram shouldn’t have relied on that ground for personalisation of advertising.[3] Subsequently, the EDPB decided that Meta should also not rely on the legitimate interests basis.[4]

The adoption of a narrow interpretation of contractual necessity created an interpretative puzzle. If we set aside the legitimate interests basis under Article 6(1)(f)), in many commercial contexts, we are only left with consent as an option (Article 6(1)(a)). This is especially true where consent is required not due to the GDPR but under national laws implementing the ePrivacy Directive (Directive 2002/58/EC), including the UK Privacy and Electronic Communications Regulations (PECR). That is, for solutions like cookies or browser storage. Importantly, though, these are not always needed for personalised advertising. Perhaps the biggest puzzle is how to deal with consent to processing needed to fund the provision of a service that does not fit the narrow interpretation of contractual necessity.

Consent, as we know from Articles 4(11) and 7(4) GDPR, must be “freely given.” In addition, Recital 42 states that: “Consent should not be regarded as freely given if the data subject has no genuine or free choice or is unable to refuse or withdraw consent without detriment.” The EDPB provided self-contradictory guidance by first saying that withdrawing consent should “not lead to any costs for the data subjects,” but soon after adding that the GDPR “does not preclude all incentives” for consenting.[5]

Despite some differences, at least the Austrian, Danish, French, German (DSK), and Spanish data protection authorities generally acknowledge that paid alternatives to consent may be lawful.[6] Notably, the Norwegian Privacy Board—in a Gridnr appeal—also explicitly allowed that possibility.[7] I discuss below the conditions those authorities focus on in their assessment of “pay or consent” implementations.

The CJEU and ‘Necessity’ to Charge ‘An Appropriate Fee’

In its Meta decision from July 2023, the EU Court of Justice weighed in, though in the context of third-party-collected data, by saying that if that kind of data processing by Meta does not fall under contractual necessity, then:

(…) those users must be free to refuse individually, in the context of the contractual process, to give their consent to particular data processing operations not necessary for the performance of the contract, without being obliged to refrain entirely from using the service offered by the online social network operator, which means that those users are to be offered, if necessary for an appropriate fee, an equivalent alternative not accompanied by such data processing operations.[8]

Intentionally or not, the Court highlighted the interpretative problem stemming from a narrow interpretation of contractual necessity. The Court said that even if processing does not fall under contractual necessity, it may still be “necessary” to charge data subjects “an appropriate fee” if they refuse to consent. Disappointing some activists, the Court did not endorse the EDPB’s first comment I cited (that refusal to consent should not come with “any costs”).

Even though the Court did not explain this further, we can speculate that the Court was not willing to accept the view that all business models simply have to be adjusted to a maximally prohibitive interpretation of the GDPR. The Court may have attempted to save the GDPR from a likely political backlash to an attempt to use the GDPR to deny Europeans a choice of free-of-charge services funded by personalised advertising. Perhaps, the Court also noted that other EU laws rely on the GDPR’s definition of consent (e.g., the Digital Markets Act) and that this gives an additional reason to be very cautious in interpreting this concept in ways that are not in line with current expectations.

Remaining Questions

Several questions will likely be particularly important for future assessments of “pay or consent” implementations under the GDPR and ePrivacy/PECRs. The following list may not be exhaustive but aims to identify the main issues.

How Specific Should the Choice Be?

The extent to which service providers batch consent to processing for different purposes, especially if users cannot (in a “second step”) adjust consent more granularly, is likely to be questioned. This is problematic because giving users complete freedom to adjust their consent could also defeat the purpose of having a paid alternative.

In a different kind of bundling, service providers may make the paid alternative to consent more attractive by adding incentives like access to additional content or the absence of ads (including non-personalised ads). On the one hand, this means that service providers incentivise users not to consent, making consent less attractive. This could be seen as reducing the pressure to consent and making the choice more likely to be freely given. On the other hand, a more attractive paid option could be more costly for the service provider and thus require a higher price.

What Is an ‘Appropriate’ Price?

The pricing question is a potential landmine for data protection authorities, who are decidedly ill-suited to deal with it. Just to show one aspect of the complexity: setting as a benchmark the service’s historical average revenue per user (ARPU) from (personalised) advertising may be misleading. Users are not identical. Wealthier, less price-sensitive users, who may be more likely to pay for a no-ads option, are also worth more to advertisers. Hence, the loss of income from advertising may be higher than just “old ARPU multiplied by the number of users on a no-ads tier,” suggesting a need to charge the paying users more than historical ARPU merely to retain the same level of revenue. Crucially, the situation will likely be dynamic due to subscription “churn” (users canceling their subscriptions) and other market factors. The economic results of the “pay or consent” scheme may continue to change, and setting the price level will always involve business judgment based on predictions and intuition.

Some authorities may be tempted to approach the issue from the perspective of users’ willingness to pay, but this also raises many issues. First, the idea of price regulation by privacy authorities, capping prices at a level defined by the authorities’ view of what is acceptable to a user, may face jurisdictional scrutiny. Second, taking users’ willingness to pay as a benchmark implicitly assumes a legally protected entitlement to access the service for a price they like. In other words, to assume that users are entitled to specific private services, like social media services.[9] This is not something that can be simply assumed; it would require a robust argument—and arguably constitute a legal change that is appropriate only for the political, legislative process.

Imbalance

Recital 43 of the GDPR explains that consent may not be free when there is “a clear imbalance between the data subject and the controller.” In the Meta decision, the EU Court of Justice admitted the possibility of such an imbalance between a business with a dominant position, as understood in competition law, and its customers.[10] This, too, may be a difficult issue for data protection authorities to deal with, both for expertise and competence reasons.

The Scale of Processing and Impact on Users

Distinct from market power (dominance), though sometimes conflated with it, are the issues of the scale of processing and its impact on users. An online service provider, e.g., a newspaper publisher, may have relatively little market power but may be using a personalised advertising framework (e.g., an RTB scheme facilitated by third parties[11]) that is very large in scale and with more potential for a negative impact on users than an advertising system internal to a large online platform. A large online platform can offer personalised advertising to its business customers (advertisers) while sharing little or no information about who the ads are being shown to. Large platforms have economic incentives to keep user data securely within the platform’s “walled garden,” not sharing it with outsiders. Smaller publishers participate in open advertising schemes (RTB), where user data is shared more widely with advertisers and other participants.

Given the integration of smaller publishers in such open advertising schemes, an attempt by data protection authorities to set a different standard for consent just for large platforms may fail as based on an arbitrary distinction. In other words, however attractive it may seem for the authorities to target Meta without targeting the more politically powerful legacy media, this may not be an option.

[1] The comments below build on my ‘“Pay or consent:” Personalized ads, the rules and what’s next’ (IAPP, 20 November 2023) < https://iapp.org/news/a/pay-or-consent-personalized-ads-the-rules-and-whats-next/ >.

[2] On this issue, I highly recommend the article by Professor Martin Nettesheim on ‘Data Protection in Contractual Relationships (Art. 6 (1) (b) GDPR)’ (May 2023) < https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4427134 >.

[3] https://www.edpb.europa.eu/news/news/2023/facebook-and-instagram-decisions-important-impact-use-personal-data-behavioural_en

[4] https://www.edpb.europa.eu/news/news/2023/edpb-urgent-binding-decision-processing-personal-data-behavioural-advertising-meta_en

[5] https://www.edpb.europa.eu/sites/default/files/files/file1/edpb_guidelines_202005_consent_en.pdf

[6] David Pfau, ‘PUR models: Status quo on the European market’ (BVDW, October 2023) < https://iabeurope.eu/knowledge_hub/bvdws-comprehensive-market-overview-pur-models-in-europe-legal-framework-and-future-prospects-in-english/ >; for the view of the Spanish authority, see ??https://www.aepd.es/prensa-y-comunicacion/notas-de-prensa/aepd-actualiza-guia-cookies-para-adaptarla-a-nuevas-directrices-cepd

[7] https://www.personvernnemnda.no/pvn-2022-22

[8] https://curia.europa.eu/juris/document/document.jsf?mode=lst&pageIndex=1&docid=276478&part=1&doclang=EN&text=&dir=&occ=first&cid=163129

[9] See also Peter Caddock, ‘Op-ed: “Pay or data” has its reasons – even if you disagree’, https://www.linkedin.com/pulse/op-ed-pay-data-has-its-reasons-even-you-disagree-peter-craddock

[10] See para [149]. This is also referenced in the Joint EDPB-EDPS contribution to the public consultation on the draft template relating to the description of consumer profiling techniques (Art.15 DMA) (September 2023), page 14.

[11] https://en.wikipedia.org/wiki/Real-time_bidding

Regulatory Comments

Lazar Radic on the UK’s Digital Markets Bill

ICLE Senior Scholar Lazar Radic joined Institute of Economic Affairs (IEA) Director of Public Policy and Communications Matthew Lesh on the IEA Podcast to discuss the new joint ICLE-IEA paper “Digital Overload: How the Digital Markets, Competition and Consumers Bill’s Sweeping New Powers Threaten Britain’s Economy.” Video of the full podcast is embedded below.

Presentations & Interviews

The Digital Competition and Consumers Bill Threatens to Wrap UK Tech in Red Tape

The UK has long prided itself as an attractive destination for investors and a hub for innovation. This is no small part due to the country’s sensible and proportionate, evidence-based approach to regulation, which focuses on correcting market failures. But a new bill currently in Parliament risks undermining Britain’s status as a regulatory role model, as well as Rishi Sunak’s ambition to turn the UK into a “science and technology superpower.” The Digital Competition and Consumers Bill (DMCC) takes its inspiration from the EU’s Digital Markets Act. The DMCC would give the Competition and Market Authority’s (CMA) expansive new powers to prohibit or compel conduct in digital markets, with potentially far-reaching implications for consumers, investment, innovation, and the country’s overall competitiveness.

Read the full piece here.

Popular Media (ICLE)

DIGITAL OVERLOAD: How the Digital Markets, Competition and Consumers Bill’s Sweeping New Powers Threaten Britain’s Economy

Summary

  • The Digital Markets, Competition and Consumers Bill (DMCC or ‘the Bill’) endows the UK’s Competition and Markets Authority (CMA) with extensive new powers to tackle alleged anticompetitive practices in digital markets.
  • The CMA will be able to both prohibit or require a wide array of conduct at an incipient stage and impose far-reaching remedies with limited accountability or consideration of consumer benefits.
  • The DMCC’s powers are defined broadly, meaning the CMA will have significant discretion to direct the development of digital markets; this is unlike the European Union’s Digital Markets Act, which, although still far-reaching, contains more clearly defined thresholds, requirements and prohibitions.
  • The CMA will be able to designate any large company satisfying certain criteria and undertaking ‘digital activity’ as having Strategic Market Status (SMS). That could bring hundreds of companies into the scope of the regime, empowering the CMA to exert substantial control over broad swaths of the economy over time.
  • The DMCC empowers the CMA to take crucial decisions at every step of the process—g., in designating relevant activities, imposing conduct requirements and pro-competition interventions, investigating breaches, adjudicating wrongdoing and imposing significant fines — without full merits review.
  • It will only be possible to challenge the CMA on process grounds under the judicial-review standard, giving it great power.
  • The DMCC ignores important tradeoffs inherent to the proposed prohibitions and obligations, such as the privacy and security implications of requiring ‘interoperability’ or the convenience to users of ‘self-preferencing’.
  • The ‘final offer mechanism’ backstop enforcement power marks a fundamental incursion on freedom of contract for private businesses, which could find themselves required to accept unfavourable terms in relation to third parties. The CMA will be asked to arbitrate commercial conflicts between large digital firms and their competitors, leading to a significant risk of rent-seeking behaviour by third parties, regulatory capture, and politicised decision-making.
  • The regime will undermine investment in the UK digital sector, and associated innovation, because of the risk of cumbersome, unclear and ever-changing rules—along with a lack of accountability. New features could be delayed or not introduced for British users as firms seek to minimise the risk of falling afoul of the new regime and incurring hefty fines and stringent remedies. The UK’s position as a ‘science and technology superpower’ will thus be undermined.

Introduction

The Digital Markets, Competition and Consumers Bill (DMCC), introduced into parliament in April 2023, is the UK government’s response to alleged anticompetitive practices in digital markets.[1] But in its current form, the Bill threatens to do more harm than good.

In this paper we address Part 1 of the Bill, which concerns its provisions on digital markets.[2] In this area, the government’s underlying concern is that network effects, economies of scale and the accumulation of user data have led to the creation of monolithic technology giants that can exercise market power in ways that lead to higher prices and poor outcomes for consumers, and furthermore, that their power is entrenched, in the sense that their market position is very hard for new entrants to challenge. Advocates of the legislation believe that new regulatory powers are necessary to address these competition issues. The particular point that digital companies are heavily entrenched has been questioned elsewhere, for example by Baye and Prince (2020: 1287). They argue that technology markets are highly dynamic and that, while it may be tempting for policymakers to intervene in an attempt to remedy an immediate concern, history suggests that competition often permits new and superior technologies to supplant entrenched ones. This paper, however, is more narrowly focused on the DMCC, the powers it gives to regulators, the lack of procedural protections, and the issues this raises for the UK economy.

Part 1 of the DMCC will:

  1. empower the CMA to designate companies as having ‘strategic market status’ (SMS) with respect to designated digital activities;
  2. allow the CMA to design bespoke ‘conduct requirements’ for each SMS firm, dictating important aspects of the operation of its service, how customers are treated, and relations with other businesses in relation to designated activities (g., preventing a search engine from prioritizing its services in results);
  3. allow the CMA to undertake what are presumed to be pro-competition interventions (g., requiring open data sharing);
  4. mandate transparency in relation to mergers;
  5. equip the CMA with extensive enforcement powers, including the imposition of large fines and a ‘final offer mechanism,’ as a backstop enforcement tool.

In practice, it endows the CMA, acting through the newly created Digital Markets Unit (DMU), with extensive new powers to categorically prohibit certain types of conduct at an incipient stage and impose far-reaching remedies with limited consideration of countervailing consumer benefits.

The CMA will also be able to take crucial decisions at every step of the process—e.g., in designating relevant activities, imposing conduct requirements and pro-competition interventions, investigating breaches, adjudicating wrongdoing and imposing significant fines—without full merits review. It will only be possible to challenge the decision-making on process grounds under the judicial review standard. In simple terms, courts will not assess whether the CMA was ‘right’, but whether the correct procedures were followed.

In addition, the procedural safeguards contemplated by the Bill may enable overenforcement in ways that hurt consumers. In practical terms, this could mean new products will not be developed in the UK and that new features could be delayed or not introduced for British users, as firms seek to minimise the risk of falling afoul of the new regime and incurring hefty fines and stringent remedies. This could, in turn, deter post-Brexit investment in the British economy and damage job creation in high-tech industries.

Granting extreme executive powers without sufficient oversight marks a departure in British governance from the rule of law in favour of expansive regulatory discretion, which is ill-advised on both principled—i.e., respect for the rule of law as a guiding democratic principle—and practical grounds.

To avoid turning the UK into a ‘tech turn-off’, it is vital that the DMCC be revised to narrow the CMA’s discretion and that meaningful procedural guardrails are incorporated to counterbalance its far-reaching powers. Absent this, the damage caused to the British economy may be hard to reverse.

[1] These issues were outlined in the government’s Digital Competition Expert Panel, also known as the Furman (2019) report, and the consultation on a new pro-competition regime for digital markets (DCMS and BEIS 2022).

[2] Shalchi and Mirza-Davies (2023) describe Part 2, and Conway, Fairbairn, and Pyper (2023) describe Parts 3-6.

Scholarship (ICLE)

Judge Ginsburg: On the Proposed Digital Markets Unit and the UK’s Competition and Markets Authority

Thank you, Victoria, for the invitation to respond to Mr. Coscelli and his proposal for a legislatively founded Digital Markets Unit. Mr. Coscelli is one of the most talented, successful, and creative heads a competition agency has ever had. In the case of the DMU [ed., Digital Markets Unit], however, I think he has let hope triumph over experience and prudence. This is often the case with proposals for governmental reform: Indeed, it has a name, the Nirvana Fallacy, which comes from comparing the imperfectly functioning marketplace with the perfectly functioning government agency. Everything we know about the regulation of competition tells us the unintended consequences may dwarf the intended benefits and the result may be a less, not more, competitive economy. The precautionary principle counsels skepticism about such a major and inherently risky intervention.

Read the full piece here.

TOTM

BETTER TOGETHER: THE PROCOMPETITIVE EFFECTS OF MERGERS IN TECH

Executive Summary

The British government is consulting on whether to lower the burden of proof needed by the Competition and Markets Authority (CMA) to block mergers and acquisitions involving large tech companies that have been deemed as having strategic market status (SMS) in some activity. This is likely to include companies like Google and Facebook, but the scope may grow over time.

Under the current regime, the CMA uses a two-step process. At Phase 1, the CMA assesses whether or not a deal has a ‘realistic prospect of a substantial lessening of competition’. If so, the merger is referred to Phase 2, where it is assessed in depth by an independent panel, and remedied or blocked if it is deemed to carry a greater than 50 per cent chance of substantially lessening competition.

The reforms proposed by the government would stop any deal involving a SMS firm that creates a ‘realistic prospect’ of reducing competition. This has been defined by courts as being a ‘greater than fanciful’ chance.

In practice, this could amount to a de facto ban on acquisitions by Big Tech firms in the UK, and any others designated as having strategic market status.

Mergers and acquisitions are normally good or neutral for competition, and there is little evidence that the bulk of SMS firms’ mergers have harmed competition.

Although the static benefits of mergers are widely acknowledged, the dynamic benefits are less well-understood. We highlight four key ways in which mergers and acquisitions can enhance competition by increasing dynamic efficiency:

Acquisition is a key route to exit for entrepreneurs

  • Startup formation and venture capital investment is extremely sensitive to the availability of exits, the vast majority of which are through acquisition as opposed to listing on a stock market. In the US, more than half (58%) of startup founders expect to be acquired at some point.
  • According to data provider Beauhurst, only nine equity-backed startups exited through IPO in 2019. By contrast, eight British equity-backed startups were acquired last year by Microsoft, Google, Facebook, Amazon, and Apple alone.
  • Cross-country studies find that restrictions on takeovers can have strong negative effects on VC activity. Countries that pass pro-takeover laws see a 40-50% growth in VC activity compared to others.
  • Nine out of ten UK VCs believe that the ability to be acquired is ‘very important’ to the health of Britain’s startup ecosystem. Half of those surveyed said they would ‘significantly reduce’ the amount they invested if the ability to exit through M&A was restricted.

Acquisitions enable a ‘market for corporate control’

  • M&A allows companies with specific skills, such as navigating regulatory processes or scaling products, to acquire startups and unlock value that would otherwise not be realised in the absence of a takeover.

Acquisitions can reduce transaction costs between complementary products

  • M&A can encourage the development of complementary products that might not be able to find a market without the ability to be bought and integrated by an incumbent.
  • In the presence of network effects or high switching costs, takeovers can be a way to allow incremental improvements to be developed and added to incumbent products that would not be sufficiently attractive to compete users away from the product by themselves.

Acquisitions can support inter-platform competition

  • Competition in digital markets often takes place between digital platforms that have a strong position in one market and move into another market, sometimes using their advantage in the original market to gain a foothold in the new one. This often involves them moving into markets that are currently dominated by another digital platform, increasing competition faced by these companies.
  • Acquisitions can accelerate this kind of inter-platform competition. Instead of starting from scratch, platforms can use mergers to gain a foothold in the new market, and do so more rapidly and perhaps more effectively than if they had to develop the product in-house.
  • There are many examples of this kind of behaviour: Google’s acquisition of Android increased competition faced by Apple’s iPhone; Apple’s acquisition of Beats by Dre increased competition faced by Spotify; Walmart’s acquisition of Jet increased competition faced by Amazon in e-commerce; myriad acquisitions by Google, Amazon, and Microsoft in cloud computing have strengthened the competition each of those face from each other.

The UK risks becoming a global outlier

  • There is a serious risk that the US and EU do not follow suit on merger regulation. Although the EU’s Digital Markets Act is highly restrictive in some ways, it does not propose any changes to the EU’s standards of merger control besides changes to notification thresholds.
  • It is also unlikely that the US will follow suit. Although a bill has been brought forward in Congress, it may struggle to pass without bipartisan support. In the last Congress, between 2019 and 2020, only 2% of the 16,601 pieces of legislation that were introduced were ultimately passed into law.

The Government’s theories of harm caused by tech mergers are under-evidenced, hard to action, and do not require a change in the burden of proof to be effectively incorporated into the CMA’s merger review process.

The Government should instead consider a more moderate approach that retains the balance of probabilities approach, but that attempts to drive competition by supporting startups and entrepreneurs, and gives the CMA the tools it needs to do the best job it can within the existing burden of proof.

  • To support startups, the government should: streamline venture capital tax breaks such as EIS and SEIS, lift the EMI caps to £100M and 500 employees to make it easier for scale-ups to attract world-class talent, and implement reforms to the pensions charge cap to unlock more of the £1tn capital in Defined Contribution pension schemes for investment in startups.
  • The CMA should be better equipped to challenge deals that are potentially anti-competitive with lower and mandatory notification thresholds for SMS firms, alongside additional resourcing to bring the cases it believes may threaten competition.
  • Most importantly, any new SMS mergers regime should be limited to the activities given SMS designation, not the firms as a whole, to avoid limiting the use of M&A to increase inter-platform competition.

Read the full white paper here.

Scholarship (ICLE)

Conflicting Missions: The Risks of the Digital Markets Unit to Competition and Innovation

[This briefing paper was a joint publication of The Entrepreneurs Network and the International Center for Law & Economics.]

At the end of 2020, the UK government announced plans to create a Digital Markets Unit (DMU) charged with implementing an ex ante regulatory regime for certain digital platforms. Following the recommendations of the Digital Markets Taskforce, led by the Competition and Markets Authority (CMA), this DMU would serve as the de facto regulator of large tech companies that had been designated as having “strategic market status” (SMS). Accordingly, the DMU was formally established within the CMA in April 2021, although Parliament will need to legislate to give it the powers proposed by the Digital Markets Taskforce. That authorization is likely to come in 2022. Until then, the DMU will prepare draft codes of conduct, and potentially conduct further analysis to add more firms to its remit (so far, only Google and Facebook have been proposed as firms to be regulated, following the CMA’s Digital Advertising Market Study).

This announcement followed several official reviews claiming that some digital markets are not working properly because of the dominance of a few platforms. Based on these reports, the DMU would be given powers to designate dominant platforms as having “substantial, entrenched market power in at least one digital activity, providing the firm with a strategic position”, which would lead to their being given the SMS designation. This would make platforms subject to a bespoke code of conduct, potential procompetitive interventions (PCIs), and increased scrutiny of their merger and product expansion decisions.

At first glance, none of these powers may appear novel. Codes of conduct have been used in other sectors, such as groceries and energy markets, and PCIs were part of the package of remedies in the CMA’s 2015 retail banking market review.

But these interventions were limited to a small number of clearly delineated sectors, firms, activities, or products. By contrast, the DMU’s remit will cover all “digital markets”. This is an already large and growing proportion of the UK economy that comprises many different activities, from digital advertising and e-commerce to online search, social media, and news publishing (among others). And it increasingly encompasses markets like taxis, groceries, entertainment, and other sectors that are becoming significantly “digitalised”. What may seem to be a focused mandate now is, over the coming decades, likely to grow to encompass more and more of the economy.

The DMU will thus combine the powers and operating structure of a narrow sector regulator with a cross-sector purview that is much closer to the CMA’s economy-wide reach. And it will do so for one of the most vitally important parts of the economy, where entrepreneurialism is central and where misguided regulation of incumbents may have systemic effects. The implications of this—creating a de facto regulator with goals that are often conflicting, with powers that lack many of the checks and balances that the CMA usually faces, and with a remit that could be as broad as the economy itself have been given little scrutiny so far, with some assuming the DMU’s scope is much narrower and more focused than it really is.

Proponents might view this level of ambition as fit for the challenge presented by digital markets, where strong competition is vital and where markets may naturally gravitate toward a small number of large competitors. And given the broad variety of activities undertaken by digital platforms and the rapidity of technological change, they may argue that an effective regulator needs both a broad remit and extensive powers to act quickly. But there are also clear costs and risks in creating such a powerful new agency, and these have not yet been widely appreciated by many with an interest in economic policy in Britain.

To get the measure of those costs and risks, this paper evaluates the challenges that the DMU will face as a novel regulator tackling firms with complex and highly differentiated business models, whose actions have distinct effects in several markets and startup ecosystems. It focuses on the structure and goals of the DMU, the first pillar of its powers—the codes of conduct it is expected to write and enforce—and the checks and balances that the CMA’s proposals lack. The other two pillars of its powers—procompetitive interventions and changes to the mergers regime—are just as important substantively, but require further consideration in a future paper. We do discuss one element of the mergers proposals below, however, given its importance to startups.

Section 1 sets out the main findings of several official reviews that preceded the announcement of the DMU.

Section 2 summarises the duty and powers that the Digital Markets Taskforce proposes to give to this new regulator.

Section 3 considers the problems of operationalising the DMU’s primary duty, given its vague objectives and different constituencies. Without a clear vision for what success looks like and how to manage the trade-offs involved, the DMU could easily become a hindrance to competition and innovation, instead of a positive force. The number of firms subject to SMS designation, and the consequent interventions, could steadily increase without improving consumer outcomes, because there would be no straightforward way to decide whether regulation worked.

Further, because the determinants of innovation for any given firm or in any given market are so poorly understood, the heightened scrutiny of SMS firms contemplated by the Digital Markets Taskforce’s recommendations could inadvertently chill innovation, both by SMS firms themselves, as well as by small firms and startups, whose venture capital may depend in part on their prospects of being acquired by an incumbent.

Moreover, in its current proposed form, the DMU could influence the activities of companies beyond those found to have market power. This could create major barriers to inter-platform competition — a key part of competition in platform markets, as platforms vie with each other to keep users within their ecosystem and attract new ones. And, if it makes it harder for smaller firms to be acquired, it could reduce both the founding of, and investment in startups in the UK.

Because SMS firms will only be able to contest designations and the associated interventions via judicial review, there is also a bias in favour of intervention built in to the DMU’s design. Lacking meaningful checks and balances, the DMU’s mistakes could go uncorrected for years, further weakening innovation, competition, and startup formation in the UK to the detriment of consumers and the British economy itself.

All of these could combine to create significant unseen costs for British consumers, which go ignored and uncorrected even as they worsen consumer welfare and weaken competition and innovation in the markets the DMU is supposed to be working to improve.

Section 4 evaluates the Taskforce’s proposed participative approach. We consider existing models of conduct-based regulation in the UK, finding that these precedents have generally had much narrower goals and remits than those of the DMU, and that they therefore constitute a poor template for the new regulator. Where existing conduct-based regulation has had a broader remit, such as with the Financial Conduct Authority, it has been criticised by firms as unclear and unpredictable and by other stakeholders as ineffective. We also consider in this section whether co-regulation—mixing statutory objectives with private governance—might best achieve the government’s purpose for the DMU, given the need to optimise across many different margins and the difficulty of doing so from the top.

Section 5 concludes with high-level recommendations to help ensure that the DMU actually serves to promote competition and innovation in UK digital markets. Before moving forward, the government should focus the DMU on the CMA’s core objective, which is to promote competition for the benefit of British consumers. And it should be clear that the codes of conduct it is charged with drafting and enforcing should be done only to promote competition, not to regulate the conduct of incumbents for the purpose of promoting other social goals that may conflict with the goal of promoting competition.

The government should also narrow the scope and extent of the DMU’s powers so that it promotes competition in the specific markets in which it has determined a firm has “strategic market status”, and does not grow into a bloated regulator of these companies’ other activities in competitive markets, or of the wider economy wherever “digitalisation” is taking place. The DMU should be genuinely participative, allowing stakeholders to actively assist in decision-making instead of just offering advice. It should give special consideration to startups, and to the effects of its behaviour on entrepreneurs’ and venture capitalists’ incentives to start and fund a business. Finally, it should allow for appeals on the merits to allow the DMU to be held accountable by courts for its decisions.

Read the full briefing paper here.

Scholarship (ICLE)