Nonetheless, the coincidence between Altman’s assertion and the MIT report reportedly spooked tech inventory traders earlier within the week, who’ve already been watching AI valuations climb to extraordinary heights. Palantir trades at 280 occasions ahead earnings. Through the dot-com peak, ratios of 30 to 40 occasions earnings marked bubble territory.
The obvious contradiction in Altman’s general message is notable. This is not the way you’d anticipate a tech government to speak after they imagine their business faces imminent collapse. Whereas warning a couple of bubble, he is concurrently looking for a valuation that may make OpenAI value greater than Walmart or ExxonMobil—firms with precise earnings. OpenAI hit $1 billion in month-to-month income in July however is reportedly heading toward a $5 billion annual loss. So what is going on on right here?
Taking a look at Altman’s statements over time reveals a possible multi-level technique. He likes to speak large. In February 2024, he reportedly sought an audacious $5 trillion–7 trillion for AI chip fabrication—bigger than the whole semiconductor business—successfully normalizing astronomical numbers in AI discussions.
By August 2025, whereas warning of a bubble the place somebody will lose a “phenomenal sum of money,” he casually mentioned that OpenAI would “spend trillions on datacenter building” and serve “billions every day.” This creates urgency whereas probably insulating OpenAI from criticism—acknowledging the bubble exists whereas positioning his firm’s infrastructure spending as completely different and obligatory. When economists raised considerations, Altman dismissed them by saying, “Allow us to do our factor,” framing trillion-dollar investments as inevitable for human progress whereas making OpenAI’s $500 billion valuation appear nearly small by comparability.
This twin messaging—catastrophic warnings paired with trillion-dollar ambitions—might sound contradictory, nevertheless it makes extra sense when you think about the distinctive construction of right now’s AI market, which is totally flush with money.
A distinct type of bubble
The present AI funding cycle differs from earlier expertise bubbles. In contrast to dot-com period startups that burned by enterprise capital with no path to profitability, the most important AI traders—Microsoft, Google, Meta, and Amazon—generate lots of of billions of {dollars} in annual earnings from their core companies.
