The only risk is that 8k hardware gizmo is worthless in 9 months. Saw it happen a few times in mainframes, by the time the packing slip was printed the hardware was worthless to the purchaser because PC hardware could do about the same job but the profits would roll into IBM for another 3 to 15 years.
That might be a real risk for things like cryptocurrency mining, where being able to do something faster than others determines whether the money spent on electricity is less than the value you get out of it, but it probably isn't realistic for generative AI. Either the hardware is big enough to run your model or it isn't. If it is, then it won't just suddenly become worthless unless you decide that you absolutely have to have a larger model for some reason.
And if that does happen, then it becomes a resource allocation question, deciding whether to spend developer resources to find ways to tune smaller models more so that you get good enough results or spend money to replace the hardware and sell or rent the old hardware to someone who can still use it. After all, it isn't as though hardware becomes worthless just because it no longer meets your needs.
You'll always be able to get bigger, faster hardware in five years. That's not a good reason not to own the means of production. You either own the means of production and you're in the owner class or you don't and you're in the worker class, and having a bunch of companies in the worker class really isn't sustainable.