It's a technology, not an artifical belief system to just disappear because people got tired of it.
Hype might go away, along with some of today's usages, but the fact that we know about the technology means it will stay in one fo or another.
Technologies fade away when they are no longer useful, cost/benefit ratio is too high or something better comes along.
It is question of when.
The technology of warfare evolved to better mechanisms, perhaps same with computing.
We might design organic brain extensions, so people just become smarter, making LLMs obsolete. (Brain-Bluetooth interface for additional cost)
What we currently have is a simulacrum of thought - albeit a good one.
Any technology is useful only in the sense that it helps us with solving the problems we are dealing with in that time. When we face issues that a pseudo-thought is not useful in tackling or worse is one of the causes - this will recede in the background.
Beyond that, the implicit assumption in the question is that thinking is the highest form of activity that is useful to us.
I don't know how my thoughts arise but thinking happens when I engage with them. I think what we look for is meaning in our lives and thinking helps us generate/achieve one, whether real or illusory.
Castles still exist as well, you just aren't invited to them (which was true for us peasants back in the day, too). Trump is still trying to get one built under the ruins of the East Wing, in fact.
The Juicero is here to stay! There’s no putting the genie back in the bottle.
The technology involved in Juicero (or Pets.com, or many others) didn't go away. We could rebuild them any time we wanted to. Those things went away because they weren't able to make enough money to be an ongoing business.
Will AI? That is at least an open question at this point. (I mean, in fairness, Amazon's was an open question for many years too.)
The tech isn't going anywhere. Is there a path to a sustainable business model that uses that tech?
You may have an answer to that question. Can you prove it to someone who doesn't already agree with your answer?
But I hear everyday, non-IT-sector people talking constantly about how they're using it, and that means there's a demand for it, and someone is going to supply it. I think a lot of anti-AI people think it's still equivalent to the PDA, and don't realize it's a smartphone already.
The other side is that "AI" is of course very very broad and isn't new, and e.g. medical vision models are making advancements that are having huge impacts on patient care already, especially around early cancer detection. Those aren't going away (and shouldn't), so there's still going to be a demand for the underlying technology and infrastructure to support it, even if LLMs stop being spammed everywhere.
The other thing which people seem not to understand is that you don't need a whole datacenter to RUN individual LLMs, you need it to train them, or to run them at scale for thousands of customers. A lot of the upper-mid-tier models that exist now can be run on a single (beefy) 4U server in your closet if you've got the GPUs to put in it. And people are running e.g. Deepseek V4 Pro FP4 locally. If you've got an actual server room, like at a university, you can run the full, un-quantized versions with ~2-4 servers.
Technology that is living in peoples' homes and businesses already is not going to just disappear. It's a lot less centralized than the market prevalence of OpenAI and Anthropic would lead you to believe.
"AI" as tech - the models, how to train them, etc. Isn't going to go anywhere short of a Library-of-Alexandria-type catastrophe. We know how to do it and it's useful, so why would we forget?
However, "AI" as the thing that is enveloping our culture - the slop everywhere, the mandates to use it at work regardless of its usefulness, the constant talk about it being the future, the machine-dominated future that's been promised/threatened by the heads of the labs - we do still have a chance to put that onto the scrapheap.