This is only a problem in a world where we spend no time to optimize these models like we are doing today where we just throw more power at them rather than engineering them to be…better. Look at how China is doing AI - their more limited resources in this regard have forced them to invest in LLM models that work on more modest hardware with much less necessary power. This is necessarily the direction this development must continue to make it a viable product for the average person to engage with without the need for an oppressive mega corporation footing the infrastructure bill (and poisoning the surrounding population at the same time).

Edit: I’ll add that I am broadly not in favor of AI as a whole but the tech is here and has novel use cases. Making the models more efficient is a necessary step towards seeing this tech’s true usefulness be actualized.