Universities are making a consequential concession: allowing privately owned generative AI systems into the very processes through which students learn to read, write, reason, and exercise judgment. Their adoption is increasingly presented as inevitable. AI exists, so higher education must adapt. Under this logic, adoption is expected, while refusal requires an explanation. But technological availability is not educational justification. Before reorganizing teaching and learning around these systems, universities should answer the question that advocates of adoption too often avoid: Why should AI be there at all?

The language of inevitability obscures who is responsible. A recent Forbes headline declared, “MIT Says AI Is Forcing a Rethink of College Itself.” AI is not forcing universities to purchase licenses, revise courses, shift budgets, or surrender influence over educational infrastructure to private vendors. People make those decisions. They should have to explain and defend them. Who was consulted? What alternatives were considered? And whose interests are being served? California State University signed a $16.9 million OpenAI agreement in 2025. A statewide student leader said her association wasn’t consulted; officials cited an advisory committee with student and faculty members.