AI companies need to ‘start generating some serious income’
Big Tech earnings have come and gone. Well, save for Nvidia (NVDA), which reports on Nov. 19. That aside, one key trend emerging from this quarter’s reports is that Wall Street largely likes what it’s seeing when it comes to AI, despite increased spending among hyperscalers.
Microsoft (MSFT), Google (GOOG, GOOGL), and Amazon (AMZN) each reported solid results last week on strong performances from their respective cloud businesses.
The only problem? Companies that use their cloud services, like OpenAI (OPAI.PVT), still aren’t making money.
“The big question that is still hanging over everybody’s head is … how does a company like OpenAI that says they’re going to spend $1.4 trillion, it’s losing billions of dollars a quarter, possibly going to pay for that,” TECHnalysis Research president and chief analyst Bob O’Donnell told Yahoo Finance.
“They’ve got to start generating some serious income. And that’s the part that has people kind of nervous.”
Amazon saw its AWS segment growth reaccelerate to 20.2%, a level CEO Andy Jassey said the company hasn’t seen since 2022.
Microsoft’s cloud revenue, which includes its Microsoft 365 Commercial cloud, Azure, Dynamics 365, and the commercial portion of LinkedIn, jumped 26% to $49.1 billion. Google’s cloud revenue rose 34% year over year to $15.1 billion.
Each company also said it is adding data center capacity as fast as it can to keep up with demand for AI tools, which will necessitate billions more in capital expenditures this year and into the next.
Amazon and Google parent Alphabet stock rose on the reports, while Microsoft stock fell. Still, analysts were positive on the results, pointing to an increase in deal backlogs and momentum for the companies’ AI businesses.
“Obviously, the overall numbers, particularly from the cloud guys who are offering AI infrastructure, were incredibly good, and they showed there continues to be robust growth,” O’Donnell said.
But the question remains: When will the AI developers start seeing the same kind of return on investment?
While AI infrastructure companies are posting massive numbers, the AI large language model companies are still burning through billions as they develop new models and revenue schemes.
And it’ll take quite some time before they begin to turn a profit. Take a look at OpenAI. It’s got commitments to spend upwards of $1 trillion to deploy the computing power it says it needs to run its AI services.
Brad Gerstner asked OpenAI CEO Sam Altman about the company’s ability to pay for its computing needs during an interview on his “Bg2” podcast, asking how a company with $13 billion in revenue can cover $1.4 trillion in spending commitments.

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