It’s like saying a new apartment building is “profitable” because the monthly income covers the monthly running costs, but ignoring the giant mortgage that covers the cost of building the building. That thinking is a good way to go bankrupt in real estate and a good way to go bankrupt in AI.
Or that it’s all hearsay and no one has released financials yet?
That's the best possible interpretation of them.
The other possible interpretation is that they are manipulating the numbers (that they have to show to investors) and inference isn't actually profitable either. If they are not manipulating the numbers right now, both companies have a serious case of uncontrolled operational costs that they have to solve too.
Correct. Because a less charitable interpretation will squint at their marketing spend and wonder if they are just sweeping a lot of their expenses on categories they don't belong to make their business look less bonkers to those that prefer to not ask the ugly questions.
That's why it's so hard to get a residential mortgage, for example. It's more of a partnership, with more mutual vulnerability, than most people think. Same thing seems to be true here.
Given what happened with xAI’s excess capacity lease to Anthropic, and Meta’s noises about doing the same, seems likely that the demand for inference will continue to slope upwards for a while. If I’m Oracle, I’m not worried about being able to utilize the data centers I’ve built for some price, almost certainly a profitable one.
I’m guessing, though, that Oracle made their capital investments on assumptions of a higher price & return. Possibly because it wasn’t clear when these decisions were made how much competition OpenAI would have at the frontier.
I don’t think this math is all that hard. Capital markets have everything they need to start to figure it out, most especially a year or two of history to project forward.