If anything it's underhyped, in that the technology will be foundational to how we do work and sort through tremendous data volumes in the future. The pushback

If anything it's underhyped, in that the technology will be foundational to how we do work and sort through tremendous data volumes in the future. The pushback is simply that these giant companies haven't found any clear way to monetize primary LLMs as a service-- and they won't, because open-source models are improving at a breakneck pace and hardware requirements (and thus cost) is dropping due to community development. Ultimately I don't see those primary LLMaaS offerings being particularly profitable. Secondary LLM applications are a completely different matter. For example, LLMs acting as medical scribes, sitting in your doctor's office and filling out your chart, handling a job that formerly required a skilled human. That sort of thing will make tons of money. It just probably won't use Azure/Amazon/Google LLMs to do it.