I’m in a similar boat, though I’ve found some solace in that AI development (for me at least) has also made other kinds of work more enjoyable. Previously, since I enjoyed programming, problem solving, and learning more than the end product, I tried to work on projects where I would learn as much as possible which had interesting problems to solve that would make me a better software engineer.

Now I can work on much larger and much more challenging projects where I care more about the end result than learning little details.

Something has certainly been lost, but I’ve at least gained something else in return. I can also do use an empirical approach now, like testing whether a big change would be beneficial without having to map it out and try to estimate the effect. This has made what I try to work on more research-like than engineering-like; I’m trying to figure out if something is possible rather than how to best implement something I know is possible.

I still worry that soon there won’t be any way to contribute economically, that the machine will eventually be better at everything, but this is a much broader problem than just software or even engineering.