Nvidia is being used in every major AI data center, not just openai. But it's true that AI itself is not making profits, if that's what you mean. The big players are all making mega-investments hoping that, at some point, someone will figure out how to monetize it. OpenAI is interesting because it is by far the best known, but also the least stable in terms of financing. Contrast with Google, which invented modern AI and is so profitable in its other businesses that it is not only funding its AI ambitions with free cash, but it's also generating so much gross profit that it's paying a dividend even after the AI suck. If you're in the game of predicting the future, google and Microsoft have the war chest to fight this battle. OpenAI and xAI don't.
The question of how this gets monetized is still a massive one. There needs to be 10-20 times more revenue generated than currently. Is the consumer market going to be willing to pay $200/mo for AI, instead of $20. Seems unlikely. Is the corporate market going to be willing to spend $2K a month per user instead of $200? That's definitely more possible, but what would they be willing to spend that kind of money on? Not chatbots, which is a big percentage of the corporate market. And once that's removed then the remaining, higher value, use cases have other generate even more revenue.
So, are we looking at industry consolidation because it's already overbuilt for the use cases that can generate real value? Are we looking at a period of time where the industry has to learn to be vastly more efficient because the current level of services are needed, but can't be sustained with today's burn rate? Or is AI so valuable that the investments are justified and the industry will learn how to monetize them properly?
I have no idea.