Let me see if I got this right: Because use cases for LLMs have to be resilient to hallucinations, large data centers will fall out of favor for smaller, cheaper deployments at the cost of accuracy. And once you have a business that is categorizing relevant data, you will gradually move away from black box LLMs and towards ML on the edge to cut costs and also at the cost of accuracy.