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AI Didn’t Break Higher Education-It Exposed What Was Already Broken

Dr. Shlomo E Argamon

2026-01-06


AI didn’t create a crisis in higher education—it exposed one. This article examines how compliance replaced thinking and what AI reveals about real learning.

A split-screen image showing a cracked university facade; the left side represents

Let’s stop pretending AI is creating a crisis in higher education.



The crisis was already here.



For years, higher ed has drifted toward compliance over inquiry: grades over thinking, rubrics over exploration, “right answers” over intellectual risk. Students learned quickly that success meant submitting assignments that satisfy a template, not wrestling with ideas.



So when AI shows up and can produce acceptable submissions on demand, it doesn’t “disrupt” the system — it exposes it. If learning is just a sequence of boxes to tick, machines will always do it faster, cheaper, and more consistently than humans.



The problem isn’t that AI is replacing thinking.



It’s that we built an educational model where thinking was optional.



But here’s the upside: if AI automates the mechanical parts of schooling — the formulaic writing, the standardized responses, the administrative burdens — we have a chance to reclaim what higher ed abandoned:



  • Inquiry instead of compliance
  • Argument instead of recitation
  • Intellectual risk instead of performance
  • Competence instead of credentials

AI didn’t break higher education. It revealed how breakable it had become.

If institutions treat AI as a threat to be banned, they’ll double down on a model that was already intellectually hollow. If they treat it as a catalyst, they might rebuild an ecosystem where human thought matters again.



The real danger isn’t AI replacing students. It’s education pretending that submission is learning.


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