Sam Altman warns of an AI “bubble” amid $500B OpenAI push

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OpenAI CEO Sam Altman told reporters that investors are “overexcited” about AI and that “someone will lose a phenomenal amount of money,” even as OpenAI pursues a secondary share sale valuing the company at $500 billion. According to Ars Technica, his remarks echoed comparisons to the dot-com era and arrived alongside sweeping projections about data center spending and ChatGPT’s reach.

Warnings meet record valuations

Altman said investors are currently overexcited about AI, likening today’s market to the 1990s dot-com cycle. His comments came as OpenAI negotiates a share sale at a $500 billion valuation, up from $300 billion months earlier, per CNBC cited by Ars Technica. He also said OpenAI would spend “trillions of dollars on data center construction in the not very distant future” and that ChatGPT will serve “billions of people a day,” as reported by Wired.

Ars Technica noted that Altman’s warning landed just before Fortune covered MIT research finding that 95 percent of enterprise AI pilots fail to deliver rapid revenue acceleration. The study examined 300 deployments, surveyed 350 employees, and included 150 leader interviews. Fortune summarized the core issue as a “learning gap” for tools and organizations, with purchased AI tools succeeding 67 percent of the time and internally built systems succeeding far less often.

Market jitters and bold spending

Ars Technica reported that the timing of Altman’s comments and the MIT report reportedly spooked some tech investors already watching lofty AI valuations. It also highlighted an apparent contradiction: while cautioning about a bubble, Altman is pursuing a valuation that would exceed large, profitable companies, even as OpenAI reportedly heads toward a significant annual loss despite high monthly revenue.

A different kind of bubble dynamic

Ars Technica framed today’s AI cycle as structurally different from the dot-com era because leading backers like Microsoft, Google, Meta, and Amazon generate substantial profits and can fund AI efforts over longer periods. A Citi analyst told CNBC that, unlike previous bubbles, these firms have “very solid earnings” and strong cash flow, potentially allowing a slower deflation rather than a sudden crash.

Amid competitive pressure from Google, Meta, and Anthropic, Altman remains optimistic about AI’s long-term impact despite enterprise hurdles and a messy GPT-5 launch noted by Ars Technica. “The value created by AI for society will be tremendous,” he told reporters, while acknowledging that some investors may get “very burnt.”

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