Programming

AI is good at more than just generating stubs, filling in enum fields, etc. I wouldn't say it's good at stuff beyond just "boilerplate" - it's good at stuff that is not difficult but also isn't so regular that it's possible to automate using traditional tools like IDEs.

Writing tests is a good example. It's not great at writing tests, but it is definitely better than the average developer when you take the probability of them writing tests in the first place into account.

Another example would be writing good error context messages (e.g. .with_context() in Rust). Again, I could write better ones than it does. But like most developers there's a pretty high chance that I won't bother at all. You also can't automate this with an IDE.

I'm not saying you have to use AI, but if you don't you're pointlessly slowing yourself down. That probably won't matter to lots of people - I mean I still see people wasting time searching for symbols instead of just using a proper IDE with go-to-definition.