I don't know if there's a correlation between the groups as you say, but I will add some contradictory anecdata.

I started learning to program at about the same age I learned to read, so since the late 80s. While I was finishing secondary school, I figured out from first principles (and then wrote) a crude 3D wireframe engine in Acorn BASIC, and then a simple ray caster in REALbasic, while also learning C on classic Mac OS. At university I learned Java, and when I graduated I later taught myself ObjC and swift. One of my jobs, picked up a bit of C++ while there; another, Python. I have too many side projects to keep track of.

Even though I recognise the flaws and errors of LLM generated code, I still find the code from the better models a lot better[0] than a significant fraction of the humans I've worked with. Also don't miss having a coworker who is annoyingly self-righteous or opinionated about what "good" looks like[1].

[0] The worse models are barely on the level of autocomplete — autocomplete is fine, but the worst models I've tried aren't even that.

[1] I appreciate that nobody on the outside can tell if me confidently disagreeing with someone else puts me in the same category as I'm describing. To give a random example to illustrate: one of the people I'm thinking of thought they were a good C++ programmer but hadn't heard of any part of the STL or C++ exceptions and wasn't curious to learn when I brought them up, did a lot of copy-pasting to avoid subclassing, asserted some process couldn't possibly be improved a few hours before I turned it from O(n^2) to O(n), and there were no unit tests. They thought their code was beyond reproach, and would not listen to anyone (not just me) who did in fact reproach it.

> They thought their code was beyond reproach, and would not listen to anyone (not just me) who did in fact reproach it.

With an attitude like this, they would suck as a colleague regardless of profession.