The People Deciding AI's Role in Schools Aren't the Ones Who Have to Live With It

A European trade union document — circulating on Bluesky with almost no engagement — asked a question that no keynote speaker at a Brookings education conference would touch: on what terms are universities actually entering relationships with proprietary AI systems, and what do they surrender in the process? One like. The question it raises is sharper than anything in the policy briefs, the Google press releases, or the April webinar series on AI research methods. It's not asking whether AI belongs in education. That argument ended when procurement offices moved faster than curriculum committees. It's asking who negotiated the contract, and whether the people who signed it will ever sit in the rooms where the consequences land.

They won't. That gap — between decision-makers and consequence-bearers — runs through nearly every story feeding the current surge in AI-in-education conversation. A researcher circulates surveillance concerns about "mental health" apps deployed in government schools. Someone on Bluesky posts that no one who genuinely cares about education thinks classrooms need more technology, naming both "tech scammers" and a former teachers' union president in the same sentence, as if the two have become interchangeable. These aren't abstract policy critiques. They're betrayal narratives — the specific grief of people who believed institutions were protecting something and are watching those institutions monetize the access instead.

The sharpest version of that grief came from a Bluesky post about a theater student submitting an AI-written tabletop RPG scenario. The poster is specific: a theater director, using AI for creative work, in a classroom. The word they reach for isn't "disappointing" or "frustrating." It's "revulsion." That precision matters. Revulsion is a bodily response. It signals that something felt like a violation, not just a mistake — and it tells you that for at least some people in these classrooms, AI submissions have moved from an academic integrity question into a moral one.

None of the optimistic institutional activity — the Google commitment to medical training, the keynotes, the webinar series — is generating that kind of language. It's generating the language of innovation, transformation, investment. Those two vocabularies are now so far apart that they describe what feels like different realities. They are different realities: one experienced by the people making decisions, the other by the people living with them. The institutional conversation will keep getting louder and better-resourced. The personal one will keep being more honest. What's worth watching isn't which side wins — it's what gets decided while one side holds all the microphones.