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Preface: I work in AI, and on LLM's and compositional models.
None, frankly. Where AI will be helpful to the general public is in providing tooling to make annoying tasks (somewhat) easier. They'll be an assisting technology, rather than one that can replace people. Sadly, many CEO's, including the one where I work, either outright lie or are misled into believing that AI is solving many real-world problems, when in reality there is very little or zero tangible involvement.
There are two areas where (I think) AI will actually be really useful:
Healthcare, particularly in diagnostics. There is some cool research here, and while I am far removed from this, I've worked with some interns that moved on to do really cool stuff in this space. The benefit is that hallucinations can actually fill in gaps, or potentially push towards checking other symptoms in a conversational way.
Assisting those with additional needs. IMO, this is where LLM's could be really useful. They can summarize huge sums of text into braille/speech, they can provide social cues for someone that struggles to focus/interact, and one surprising area where they've been considered to be great (in a sad but also happy way) is in making people that rely on voice assistants feel less lonely.
In both of these areas you could argue that a LLM might replace a role, although maybe not a job. Sadly, the other side to this is in the American executive mindset of "increasing productivity". AI isn't a push towards removing jobs entirely, but squeezing more productivity out of workers to enable the reduction of labor. It's why many technological advancements are both praised and feared, because we've long reached a point where productivity is as high as it has ever been, but with jobs getting harder, pay becoming worse and worse, and execs becoming more and more powerful.
I was super nervous AI would replace me, a programmer. So i spent a long time learning, hosting, running, and coding with models, and man did I learn a lot, and you're spot on. They're really cool, but practical applications vs standard ML models are fairly limited. Even the investors are learning that right now, that everything was pure hype and now we're finding out what companies are actually using AI well.