People will be able to buy those used GPUs cheap and run small local LLMs perhaps. A 10 year old computer today won't do state of the art games or run models, but is entirely acceptable for moderate computing use.
Maybe; I find it unlikely though, because unlike CPUs, there's a large difference in compute/watt in subsequent generations of GPUs.[1]
I would imagine that, from an economics PoV, the payback for using a newer generation GPU over a previous generation GPU in terms of energy usage is going to be on the order of months, not years, so anyone needing compute for more than a month or two would save money by buying a new one at knockdown prices (because the market collapsed) than by getting old ones for free (because the market collapsed).
[1] Or maybe I am wrong about this - maybe each new generation is only slightly better than the previous one
That's not really how SaaS works these days. It will be a "cheap" subscription or expensive and focused on enterprise. Both those require maintance costs, which ruin the point of "cheap and small run LLM's".
And they sure aren't going to sell local copies. They'd rather go down with their ship than risk hackers dissecting the black box.
People will locally run the open models which are freely released, just like they do today with Llama and Whisper.
Most of the AI SaaS companies won't be around to have anything to say about it, because they will be casualties of the bust that will follow the boom. There will be a few survivors with really excellent models, and some people will pay for those, while many others simply use the good-enough freely available ones.
That's hard to know from this vantage point in the present.
Who knows what ideas will spring forth when there are all these AI-capable data-centers sitting out there on the cheap.
You still have to pay for power to run them. A lot of power. It won't be that cheap.
> I think that will happen here.
Why? The rail network, road network and fiber network that was laid could be used for decades after their original investors went bust.
The current datacenters full of AI compute can't really be used for anything else if AI companies go bust.
That's the problem with investing in compute infrastructure - you need to have a plan to use it all up in the next 5 years, because after that you wouldn't even be able to give it away.