1. What happens to your existing hardware investments when NVidia releases new hardware that allows buyers to run the same models at a fraction of the cost in energy times? IMHO performance-per-Watt is going to be the only significant metric here. Yes, your existing hardware will still work but efficiency is going to be the name of the game;
2. How are you going to deal with the threat of open weight models that can be run locally and/or or cloud GPU infrastructure? We already have relatively affordable hardware (ie Mac Studios) that can run models as large as 500B-1T parameters with 3-4 bit quantization. That's only going to get better; and
3. The only use cases for AI really are:
a) Raising prices;
b) Cutting costs, particularly labor; and
c) Military applications such as targeting and autonomous drone and missile operation.
A society where even 20% of people end up unemployed is one that catastrophically fails.