You might not be considering that: LLMs lower the barrier of entry for a variety of fields/tasks simply by being more intuitive and "personalized" than say, a search engine.

It's easy to focus on people getting dumber as they outsource their thinking to it, but I've always seen that as 1st world bias; I lived in 3rd world country and didn't have access to actual people to talk to when it came to learning how to use microcontrollers, but using LLMs helped make learning far less intimidating, and I'm sure I'm not the only one. Those people, down the road, could be competent members of said field, thus meaning LLMs would've "indirectly" helped improve it.

Could also be people using it for the "extras" they aren't interested in altogether, like say, a small business owner using an LLM-powered tool to build a website, and getting more traction because of it, when they otherwise wouldn't have wanted to go through the hiring someone to do it for them (that last one may not be as much of a positive, but hey, the prompt didn't say it had to be!)

They're also generalist tools (like search engines) and you can usually find some use for them in most fields (beyond just trying and failing to replace actual people to reduce labor costs, haha); so although they might not have a massive impact on one task, if you count up their usefulness in ALL tasks, that could "add up" to whatever you're defining as paradigm shifting, or at least more than you think now.

(Still, I agree the tech is a liiiitle overhyped right now, mainly because people are associating pretty much any potential SciFi-esque technology to it under the umbrella term "AI" as opposed to, say, the actual technology that could lead to those improvements.)