Sam Altman thinks the AI industry might be building too many data centers. The OpenAI CEO warned in a recent podcast interview that a compute oversupply could emerge within the next two to three years, potentially upending the massive infrastructure bets being placed by the world’s largest tech companies. The case for too much compute Altman laid out several scenarios that could tip the balance from scarcity to surplus. The big ones: AI models becoming dramatically more efficient, the cost of intelligence per unit dropping sharply, abundant cheap energy coming online, and breakthroughs that let models run locally instead of in massive data centers. In his words, a compute glut “will likely happen for sure” within two to three years, or possibly on a longer timeline of five to six years. That’s a wide range, but the confidence in the direction is notable. One training run at OpenAI recently consumed as much compute as the company’s entire previous footprint, according to Altman. That sounds like demand is exploding. But the flip side is that if models learn to do the same work with a fraction of the resources, all those shiny new data centers become very expensive paperweights. The ...
Sam Altman warns of potential compute oversupply within 2 years
1 hour ago
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