Way before AI, the problem was very similar - universities do not teach practically useful stuff. Its been a permanent complaint about the education system, really, at least for the last 50 years.

AI just gave the students a way to dodge the slog.

But university was never intended to teach the bleeding edge. That would really be impossible in practice. Pre-phd, it is supposed to teach ways to efficiently attack a problem. you can take a bunch of "play courses", and succeeding at any of those requires pretty much only that one skill.

Nowadays, the challenge they face, is to keep teaching "problem attack methods" in a way that can't be trivialized by AI.

Though fundamentally, if you go to university, and evade learning the one thing you can learn there - thats your loss.