Beyond codegen, it seems to me that the resolution to this paradox is that ChatGPT is a very popular toy in peoples' home life, but a lot of those very same people are wise enough to not use it for enterprise applications. Or, if they foolishly trusted Satya Nadella, LLM-assisted work eventually blew up in their face and they stopped using it. So gen AI is quite popular, but badly falls short of tech's aspirations.

I hate generative AI and refuse to use it, but I hear of people using it all the time in low-stakes contexts:

1) recipes (the cookies might suck but they won't be poisonous)

2) low-quality infotainment (NotebookLM)

3) OpenAI proudly celebrating that horrible Studio Ghibli crap - unlike dishonest math benchmark scores, garish slop on demand actually brings in customers!

4) ChatGPT boyfriend scams :( https://news.ycombinator.com/item?id=42710976

And I've also heard of people using it at work and being severely criticized:

1) ChatGPT-drafted license agreements that the executives would never agree to

2) summarizing documents you were too lazy to read and missing crucial context

3) coworkers being personally offended (or superiors being angry) about a ChatGPT email

Programmers and bottom-barrel creatives have the only reliable success with LLMs if there's real money at stake. Then there are notably but low-margin use cases like dyslexia assistance, Be My Eyes, etc. For everyone else, it's just a nifty doo-dad.