Who Reads? AI, Authorship, and the Collective Conversation

Debates about artificial intelligence and writing tend to begin with authorship. Is a student cheating if she uses a language model to draft a paper? Should a scholar disclose that a model rewrote a paragraph? Is an author less of an author if a machine suggested the words? These are reasonable questions, and institutions will have to answer them. But I increasingly think they focus on the wrong end of the exchange.

My claim in this essay is twofold. First, AI’s capacity to lower the cost of producing language is, on balance, a good thing. It can open the collective intellectual conversation to people whom the old costs of writing kept out. Second, precisely because production is becoming cheap, the pressing question is no longer who writes, but who reads. What is at stake is not just the flow of information, but our participation in a shared human conversation. Writing that no one reads isn’t in a conversation at all. Adapting to AI will require changes in how we write, but it will require even larger changes in how we read.