Investing in AI infrastructure seems very risky to me. With how short of a lifecycle computing hardware generally has, does it make sense to blow billions on hardware that will need to be replaced in a few years? AI companies have been burning billions on hardware. Will the costs of that hardware be covered by profits before the hardware lifecycle is up? That's a big gamble. We used to talk about AI as having no moat…
Once you can run a GPT5 level LLM locally on a device, it’s over. All this mighty infrastructure is no longer any more impressive than a top of the line 2013 Mac Pro in 2025. I think we’re 10 years away from that.
It gives me the chills, thinking about when it has 1000x cheaper ~GPU compute.