Absolutely true. The oldest devs I work with are some of the most enthusiastic about using LLM chat to develop. Among the younger devs, they all seem to use it but the amount that can actually produce working code are few.

Now I get a lot of calls from team asking for help fixing some code they got from an AI.. Overall it is improving the code quality from the group, I no longer have to instruct people on basics to set up their approach/solution. Will admit there is a little difficulty dealing with pushback on my guidance because e.g. “well chatgpt said I should use this library” when the core SDK already supports something more recent than the AI was trained on

There is a young/old divide.

There was a similar divide in the 2000s when Google Search got ubiquitous and writing code got easier than ever. I know a lot of people quit to become 'managers' because they didn't want to fix code which most of the times was being copied from the internet and pasted. Similar arguments on correctness, verbosity and even future maintainability were made. Everybody knows how that went.

Millennials are just gradually turning into boomers as they enter their 40s.

I must be the exception! A big survey on this would be interesting to go from anecdotes to data.