There are a number of problems with LLM-type AI being rushed in this fast. It can take jobs where the occasional massive screw-up does not matter much. Callcenters are probably one of those. The second one is that there are still not enough real applications that would generate profit and the number of failures is rising, while the number of successes is not. Hence this thing has gotten way too large and basically must collapse and the only question is when. Also, many are in denial and think they have a success, when really, they have a failure.
This could, for example, lead to a scenario where a lot of the workforce gets replaced (10% would be a lot) and then LLMs go away or become massively more expensive because the flood of investor money has run dry. Another one is LLMs finally find enough useful use-cases to justify the expenses of running and maintaining them, but the mistakes they make eliminate all profits by expensive lawsuits being won. And some more like that.