⑤ What Truly Frightens Me

Everything I've written so far has been about the quality of education. What works in LABA, why it fails in the lecture hall, and why the structural barriers are so hard to move. These are real problems. But if I'm being honest, what frightens me most is something else entirely. Declining educational quality is not new. It's not even news.

To explain what does frighten me, I need to start further back than you might expect. Why did universities exist in the first place?

The medieval university was born out of scarcity. Books were rare. Experts were few. If you wanted access to structured knowledge, you had to physically travel to where the scholars were. The university was where knowledge lived.

Over the centuries, universities accumulated functions far beyond knowledge delivery. Experts who provided context and guided learning. Peers who sharpened your thinking through argument. Credentials that society trusted. Networks that lasted a lifetime. The university became more than a school. It became a place where people grew, and where social mobility was, however imperfectly, made possible.

But at some point, universities began narrowing. They focused increasingly on knowledge delivery alone. Professors were consumed by research and lecturing. Close contact with students shrank. The large lecture became the default format. The other functions were expensive and hard to measure, so they were gradually deprioritized. Universities weren't alone in this. Society never seriously asked what universities were for. In education systems built on rote memorization and test preparation, the fundamental question of what education is supposed to accomplish was rarely posed at all.

Even before AI, critics noticed. "Universities don't teach practical skills." "A degree is a signal, not proof of ability." "You can learn everything online; why pay tuition?" When MOOCs arrived, some predicted the end of the university. But those predictions didn't materialize. Online lectures couldn't replace universities, because people sensed, even if they couldn't articulate it, that universities were doing more than delivering knowledge.

AI changed this calculus fundamentally. MOOCs made the same lecture available to more people. They didn't change the learning experience itself. AI is different. It adapts to each student's level. It responds to questions instantly. It personalizes learning paths. If MOOCs widened the university's front door, AI walked in and took over much of what was happening inside; not just knowledge delivery, but the work of designing what to learn, in what order, and at what pace.

So what is left for the university to do?

If universities had maintained their other functions, the answer would be clear. Even with AI handling knowledge delivery, there would be something only universities could provide. But universities hadn't done this particularly well. In a society that always equated knowledge delivery with education, losing the knowledge delivery role to AI has forced an uncomfortable question: what, exactly, remains?

The erosion of the university's reason to exist is alarming enough on its own. But what truly frightens me is a larger by-product of this erosion. In the void left by a university that has lost its footing, a new kind of inequality is forming.

Here is what that void looks like in my classroom. Large lectures were bad education. I've spent several essays arguing this. But bad as they were, they performed a function nobody noticed: they gave everyone the same thing. Strong students couldn't rise much above the average, and weak students couldn't fall much below it. The ceiling was low, but the floor held. It wasn't excellence. It was a leveling mechanism, and it worked.

AI has dismantled that mechanism. Students who use AI well rise without limit. Those with clear goals and the ability to wield AI as a tool grow at speeds that were previously unimaginable. Meanwhile, students who don't sit in the same lecture hall as before. The floor hasn't moved. The ceiling has blown off. In my classes, students from the same department, same year, same course are living in different worlds by the end of the semester.

My own lab is part of this. LABA selects four students per semester. Those four grow explosively, and I won't pretend it isn't deeply rewarding to watch. But the remaining hundreds sit in seventy-person lecture halls, unchanged. I am running an experiment designed to improve education, and it is simultaneously widening the gap. The more energy a professor pours into small-group teaching, the greater the distance between the few who benefit and the many who don't. The only thing that can resolve this paradox is systemic change. As I described in the previous essay, the system is moving in the opposite direction.

The real crisis in higher education is not declining quality. It is that universities are losing their reason to exist, and in the process, standing powerless before the inequality that AI is creating. Where the leveling mechanism of large lectures once stood, AI is creating new social fractures.

Looking back, the problems I've described in this series may all stem from a single confusion: treating the delivery of knowledge and the education of a person as the same thing. The next essay is about the most dangerous illusion this confusion produces. The conclusion, I should warn, is the opposite of what most people expect.