Coding with AI is kind of like obesity in modernity: having tons of resources is the goal, but once you get there, you end up in a system you're not really adapted to.

Personally, I don't care that much about org incentives (even though they obviously matter for what OP posted) but more about what it does to my thinking. For me, actually writing code is what slows my brain down, helps me understand the problem, and helps me generate new ideas. As soon as I hand off implementation to an LLM (even if I first write a spec or model it in TLA+) my understanding drops off pretty quickly.