Assessment has to change too. Not another multiple-choice test. Portfolios, simulations, peer reviews—these measure how students think, not just what they remember. Some schools are already piloting AI-tuned feedback engines that personalize critique in real time.
A history professor at a midwestern university replaced her term paper with an alt-history portfolio: students could turn in a story, a dataset, a speculative map. AI was allowed—but only as a tool, never as the final voice. One student wrote a short story where Alan Turing defected and developed early AI for the USSR. The professor gave it a B+. “Smart. But you didn’t take a risk.”
“He was loyal—right up until the moment it mattered.”
Some schools are listening. Some aren’t. The gap is widening.
And a handful of schools are showing what this can look like. Minerva. Olin. Northeastern. ASU. Different models. Same shift. From content delivery to human development.
Because the risk isn’t just that students graduate unprepared. It’s that they graduate unemployable. We risk a generation carrying degrees employers no longer trust. Zombie credentials from schools that couldn’t adapt fast enough.
One admissions officer at a top-tier university said the quiet part out loud: “We know what we’re selling. Prestige, not preparation. But the clock’s ticking.”
Meanwhile, in a classroom with flickering lights and last year’s syllabus, a student opens her laptop and types the first sentence of a paper she knows an AI could write better, faster, and with fewer grammatical errors. She stares at the screen. Then closes it.
The mug on her desk is cold. She picks it up. Just a habit.
It was a gift from her sister, who dropped out last year after struggling through an accounting degree that had already been automated.
The mug was still there. Cold, like the voicemail. A reminder: not everything gets replaced.
Bibliography
1. McKinsey & Company. “Generative AI and the Future of Work in America.” McKinsey Global Institute, July 26, 2023. — Projects automation of 30% of U.S. work hours by 2030.
2. World Economic Forum. “Future of Jobs Report 2023.” April 2023. — Details how 44% of core skills are expected to shift by 2028.
3. Autor, David. Public talks and interviews, 2023. — MIT economist on education’s failure to keep pace with labor changes.
4. Li, Fei-Fei. Public remarks, Stanford HAI, 2022–2023. — Argues AI should be a universal literacy, not a niche field.
5. Mollick, Ethan. Substack and academic writing, 2023–2024. — Supports human-centric learning in the AI era.