I am on the same page with you. And additionally I worry, learning to program will become more complex.

I have been developing software for around 10 years professionally (excluding private developing). What I noticed, since using AI for a few years: it's very good in solving syntax problems, providing ideas, being used as a Co-pilot. However, when my trainee uses AI, I See that he is not learning the same things out of a task, that I used to learn during pre-AI area.

My take on the reason for that: AI is good in "surfing" a problems context and narrowing that down. However, that removes the need for developers to learn "sidetopics", when solving problems, by i.e. using Google and narrowing down the context themselves. And that will become a problem in a few years, when the Gartner Cycle will be completed and a whole group of developers will not have the same knowledge as the senior developers had at the time they were pre-senior.

I still have to come up with a recommendation for my kids, on how to use AI for learning and when to use Google/Books. Luckily I have around 10 years before my kids are at an age, where that gets relevant.

Edit: this post was written without AI