But those discussions don't crest the hill because the "verified" work consistently either fails to be addressing a challenge that the skeptics encounter or has qualities that the skeptics can't imagine themselves possessing.
The reality is that we all approach our work differently and all carry different standards in what we accept in the work we produce.
It's clear that generative AI genuinely helps some people improve their work or ease their burden of producing it, but it should also be clear at this point that the people it doesn't seem to help are not being failed for lack of having learned about its use cases. We're 2+ years in and are saturated with the hype and with such examples. It's just not as universally useful as some people (for whatever reason) want to believe.