I think that's one of the best use cases for AI in programming; exploring other approaches.

It's very time-consuming to play out how your codebase would look like if you had decided differently at the beginning of the project. So actually comparing different implementations is very expensive. This incentivizes people to stick to what they know works well. Maybe even more so when they have more experience, which means they really know this works very well, and they know what can go wrong otherwise.

Being able to generate code instantly helps a lot in this regard, although it still has to be checked for errors.