The AI Question Universities Can't Postpone
Nearly every student uses it. Almost no campus has decided what that means. Behind the policy debate is a harder question about what college is actually for.
Two years ago, generative AI was a curiosity on American campuses, the kind of thing professors warned each other about over coffee. Today it is so embedded in college life that asking whether students use it has stopped being an interesting question. They do. Almost all of them.
A 2025 survey by the Digital Education Council found that 86 percent of students worldwide use AI in their studies, with more than half using it weekly. A separate UK study put the figure at 92 percent, up from 66 percent a year earlier. In the United States, Inside Higher Ed reported in mid-2025 that 65 percent of students reach for a chatbot every week. Another survey found that 88 percent of students had used AI on a test or assignment in 2025, compared with just over half a year before. The exact number depends on who is counting, but the trend line is vertical.
The technology has moved faster than the institutions trying to absorb it. As of spring 2025, only 28 percent of American colleges and universities had a formal policy on student use of AI. Another third said they were still developing one. Nearly a third of students said they did not know when they were allowed to use the tools in class. Some professors prohibit them, some require them, and some say nothing at all, leaving students to read the room.
For supporters, the picture is one of overdue modernization. AI tutors do not get tired, do not run out of office hours, and can rephrase a concept until a struggling student finally hears it. Adaptive platforms can spot a student falling behind weeks before a midterm reveals the problem. Universities including Arizona State, the University of Texas at Austin, Columbia, and the entire California State University system have struck deals with OpenAI to put ChatGPT in the hands of every student. Three out of four college-aged Americans say they want to use AI in their education and careers, and roughly half of recent graduates report they do not feel they have enough AI skill for the jobs they are applying to. By this reading, a college that refuses to engage with AI is a college failing to prepare its students for the economy they are graduating into.
For skeptics, the picture is darker. The same surveys that show booming adoption also show that 60 percent of college students believe AI is diminishing the value of a degree. More than half describe using it on assignments as a form of cheating, even as they keep using it. Researchers studying students who lean heavily on the tools without guidance report weaker writing skills, less original thinking, and a growing dependence that resembles the way calculators once eroded mental arithmetic. The American Association of University Professors has warned that AI is being absorbed into teaching and research with minimal oversight. The worry is not only that students will cheat. It is that students who never wrestled with a difficult paragraph, who never sat in front of a blank page and worked their way out, will leave college without the kind of mind a college education was supposed to build.
A strange middle ground has emerged in the meantime. Even students who do not use AI describe a kind of unease, what some have called a constant surveillance over their writing. They edit their drafts to sound less polished, less coherent, more identifiably human, because they know their professors are watching for the opposite. Faculty, in turn, hesitate to accuse anyone, because detection software is unreliable and the cost of a false accusation is high. Trust on both sides of the seminar table is thinner than it used to be.
What the technology actually does to learning may depend less on the technology and more on how it is used. AI can help a student think harder, or it can spare them from thinking at all. The evidence suggests both are happening, often inside the same classroom, sometimes inside the same student. The institutions that have responded most thoughtfully have not banned the tools and have not embraced them uncritically. They have tried to teach students to argue with AI, to fact-check it, to treat it as a sparring partner rather than a ghostwriter. That is harder than writing a policy.
The deeper question the technology forces is one universities have spent a long time not asking. What is a college education actually meant to produce? If the answer is a credential, AI is mostly a shortcut, and the credential will eventually mean less. If the answer is a mind capable of doing the work the credential implies, then the question of how, and how much, to lean on the machine is the most important one being argued on American campuses right now.
Most campuses are not yet ready to argue it. The students, in the meantime, have already decided.