You're not wrong, but there are levels to understanding.

For example, when studying maths or physics, it is very common to feel like you've understood everything, until you get to the exercises, and need to apply that understanding, and it's only then that you consolidate the knowledge and begin to truly understand in depth.

I like AI enhanced coding, but I do sometimes worry that we're not getting enough of that depth anymore.

Even at a basic level when asking the AI how to do something in a new language, sure it saves time, but I no longer have to manually scan documentation and get the incidental discovery of "oh, that function also exists, cool" which then sticks in my memory for later.

It's like using SparkNotes for classic novels, there's value in the friction of having to wrestle with the source material yourself. Whether that's more valuable than what the AI brings to the table I'm not sure yet.