https://www.gartner.com/en/newsroom/press-releases/2023-08-16-gartner-places-generative-ai-on-the-peak-of-inflated-expectations-on-the-2023-hype-cycle-for-emerging-technologies

This is old news. What it implies is that we should be deep into the trough of disillusionment. We see this borne out in the NVIDIA stock price which is flat for 3 months. Likewise for MSFT. There is a related question about whether or not we are in a bubble for AI in the broader stock market. The money that drove the bubble thus far, and the market in general, came from Microsoft and Google and Amazon. They have very deep pockets and should be able to keep it all going for a while. A simple Google search for "AI Bubble" comes up with report after report stating that the ROI will be smaller than is warranted in the investment so far and all the hype.

Deloitte came out with a report about generative this summer

https://www2.deloitte.com/us/en/pages/consulting/articles/state-of-generative-ai-in-enterprise.html

In it, they are saying that generative in the enterprise has to embed deeply into the org. It should lead to productivity and efficiency. Right from the opening statement, they are saying that a human-centric approach is necessary.

Given all this, I believe that the true use of generative in the enterprise is decision support. This is a term that comes from healthcare, which is an industry my startup has been focused on for years. It is, perhaps, the most conservative industry. That decision support is the right choice now makes sense, since it is the conservative industries that start to become intersted in the trough of disillusionment. However, they will have high requirements in terms of hallucination, accuracy, reasoning, data security, and cost. Startups doing generative right now should be trying to hit those requirements.