There's a few comments here about how AI will revolutionize learning because it's personalized or lets users explore or whatever. That's fundamentally missing the point. College students who are using AI aren't using it to learn better, they're using it to learn _less_. The point of writing an essay isn't the essay itself, it's the process of writing the essay: research, organization, writing, etc. The point of doing math problems isn't to get the answer, it's to _do the work_ to find the answer. If you let AI do that, you're not learning better, you're learning worse.
Now, granted, AI can help with things students are passionate about. If you want to do gamedev you might be able to get an AI to walk you through making a game in Unity or Godot. But societally we've decided that school should be about instilling a wide variety of base knowledge that students may not care about: history, writing, calculus. The idea is that you don't know what you're going to need in your life, and it's best to have a broad foundation so that if you run into something that needs it you'll at least know where to start. 99% of the time developing CRUD apps you're not going to need to know that retrieving an item from an array is O(n), but when some sales manager goes in and adds 2 million items to the storefront and now loading a page takes 12 seconds and you can't remove all that junk because it's for an important sales meeting 30 minutes from now, it's helpful to know that you might be able to replace it with a hashmap that's O(1) instead. AI's fine for learning things you want to learn, but you _need_ to learn more than just what you _want_ to learn. If you passed your Data Structures and Algorithms class by copy/pasting all the homework questions into ChatGPT, are you going to remember what big-O notation even means in 5 years?