Nevertheless, the coincidence between the explanation of Altman and the MIT report reportedly made Tech -shares investors earlier this week, who have already looked at AI valuations for extraordinary heights. Palantir acts with 280 times forward income. During the DOT-COM peak mark the relationships from 30 to 40 times income bubble area.
The apparent contradiction in Altman's general message is remarkable. This is not how you would expect a tech director to talk when they believe that their industry is confronted with an approaching collapse. While he warns of a bubble, he is at the same time looking for a rating that would make OpenAi more worth more than Walmart or ExxonMobil – companies with actual profit. OpenAi reached $ 1 billion in monthly sales in July, but is reportedly on the way to an annual loss of $ 5 billion. So what's going on here?
Looking at Altman's statements over time reveals a potential strategy at multiple levels. He likes to talk big. In February 2024, he reportedly sought a daring $ 5 trillion – 7 trillion for AI -chip manufacturing – longer than the entire semiconductor industry – effective normalization of astronomical numbers in AI discussions.
By August 2025, while warning a bubble where someone will lose a “phenomenal amount”, he casually said that OpenAi would “spend trillions on data center construction” and “billions daily”. This causes urgency and is possible OpenAI is to insulate criticism – there is the bubble with the bubble while the infrastructure expenditure of his company is placed as different and necessary. When economists expressed their concern, Altman rejected them by saying: “Let's do our thing”, frame “Inlust-Biljoen-Dollar Investments as inevitable for human progress, while OpenAI's $ 500 billion appreciation almost seems to make reasonable comparison.
These double messages-catastrophic warnings combined with trillion-dollar ambitions-in-contradictory, but it is more logical when you consider the unique structure of today's AI market, which is absolutely the same with cash.
Another kind of bubble
The current AI investment cycle differs from earlier technological bubbles. In contrast to startups of the DOT-COM era that have burned out by venture capital without a path to profitability, the largest AI-investors Microsoft, Google, Meta and Amazon-Hundred Dollars generate annual profit from their core companies.
