I don't think it's necessarily worsening, it's just becoming more evident.

The way I conceptualize this is that there are two kinds of knowledge. The first is fundamental knowledge. If you learn what is computational complexity and how to use it, or what is linear algebra and why do we care, then you're left with something. The second is what I call "transient" knowledge (I made up the word). If you learn by heart the DOM manipulation methods you have to invoke to make a webpage shiny (or, let's be real, the API of some framework), or what is the difference between datetime and datetime2 in SQL Server 2017, then it looks like you know how to do stuff, but none of those things are fundamental to the way the underlying technologies work: they are mostly pieces of trivia that are the way they are because of historical happenstance rather than actual technical reasons.

To be effective at any given day job, one might need to learn a few pieces of knowledge of the second kind, but one should never confuse them for actual, real understanding. The problem is that the first kind can't be learned from youtube videos in increments of 15 minutes.

That's what LLMs are exposing, IMO. If you don't know what is the syntax for lambdas in C# or how to structure components in React, any LLM will give you perfectly working code. If your code crumbles to pieces because you didn't design your database correctly or you're doing useless computations, you won't even know what you don't know.

This transcends software development, by the way. We talk about how problem solving is a skill, but in my experience is more like physical form: if you don't keep yourself in shape, you won't be when you need it. I see this a lot in kids: the best ones are much smarter than I was at their age, the average struggles with long division.

A guy I work with calls transient knowledge "arcana," I've come to appreciate the concept. Now I'm aware of when I'm generating arcana for other people to learn :)