Who Is College Actually For? AI Cheating Has Forced the Question Into the Open

A New York Magazine piece declared this month that "everyone is cheating their way through college," and the education press didn't push back — it piled on. Bloomberg asked whether college retains any purpose in the age of ChatGPT. Slate mourned something it declined to call student skills, because skills wasn't quite the right word for what's gone. The New York Times ran a defense of proctoring tools that reads, in 2024, less like a policy argument than a rearguard action. These pieces weren't responding to each other, exactly — they were responding to the same unspoken recognition that the careful, institutional version of this conversation had expired, and everyone could finally say so.

The fracture isn't between those who think AI cheating is bad and those who don't. It's between people who think the thing being undermined is worth saving. The institutional press — the education trades, Fortune's workforce coverage, the Times op-ed section — frames AI cheating as a governance failure: a problem of detection thresholds, honor code language, and proctoring software that students hate and universities apparently need. The countercurrent running through The Free Press and The Bulwark goes the other direction entirely: let them use it, because what's being protected was already hollow. That's not a moderate position and the writers advancing it aren't treating it as one. On r/Teachers, the argument lands differently — not as philosophy but as fatigue. Teachers aren't debating whether AI undermines education's purpose; they're teaching in classrooms where the epistemological ground already shifted, and no administrator has acknowledged it yet. The quote from *Blood in the Machine* — "If AI is writing the work and AI is reading the work, do we even need to be there at all?" — circulated hard in that community because it named something real that no policy memo had touched.

What the Hollywood Reporter piece on elite private schools added, and what most of the coverage is avoiding, is class. AI cheating is not uniform. The schools redesigning their entire assessment philosophy around AI — oral exams, project-based portfolios, in-person defenses — are not the same schools buying Turnitin licenses and hoping for the best. The students with tutors who teach them to use Claude well are not the same students getting flagged by detection software for prose that scans as machine-written because English is their second language. The "let them cheat" argument has a certain libertarian elegance when you're at an institution that can afford to rebuild its pedagogy. It looks different from a community college with a forty-student composition class and no budget for redesign.

The enforcement camp believes school transmits skills and confers credentials — things worth protecting because they can be gamed. The "let them use it" camp believes school already failed at both, and AI just made the failure legible. What neither camp is saying out loud is that those two arguments aren't actually about AI. They were always about who school was designed to serve, and the students largely absent from the coverage — appearing mainly as anxious subjects of concern — already know the answer. They're just making their calculations accordingly.