“I wish Elon luck,” Altman said on the technology podcast “TBPN” released on May 13. He suggested underwater infrastructure may ultimately prove easier to build and cool than computing systems deployed in space.

“I feel like none of the ocean guys are working on ocean robotics are thinking about putting this in at the bottom of the ocean,” Altman said. “It feels easier than constructing space data centers.”

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The comments come as technology companies continue expanding AI infrastructure to support rapidly growing computing demand, according to media reports.

The Push Toward Orbital Computing

Orbital data centers are drawing renewed attention after the The Wall Street Journal recently reported that SpaceX and Google discussed space-based computing projects

The concept centers on placing compact computing systems in orbit, where companies could potentially avoid land constraints, permitting battles and some power-grid limitations tied to traditional data centers.

Google has explored prototype orbital systems tied to an initiative known as Project Suncatcher, which could involve launching small computing satellites by 2027, the company said in November.

Altman, however, suggested significant engineering and energy challenges remain. “The space is free. The land is free. You don’t run into the regulatory stuff,” he said on “TBPN.” He added that energy generation and infrastructure remain difficult challenges in extreme environments.

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AI Infrastructure Demand Keeps Rising

AI infrastructure has become one of the fastest-growing areas of technology investment as companies search for new ways to expand computing capacity for AI systems.

The demand has also fueled interest in alternative infrastructure models, including space-based computing projects tied to SpaceX’s long-term ambitions and a potential IPO, according to media reports.

The discussion on “TBPN”  highlights growing questions about where future AI infrastructure will ultimately be built as computing demand accelerates.

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Diversification Across AI And Space

Investment relationships between artificial intelligence and aerospace companies are becoming increasingly interconnected as major technology firms expand across sectors, according to Deloitte. 

As one example, Deloitte said the U.S. Department of Defense has awarded contracts to leading AI companies to accelerate adoption across critical defense missions, while overall U.S. aerospace and defense spending on AI is projected to grow 3.5 times by 2029.

“Everyone has diversified into every company at this point, basically,” Altman said on “TBPN”.

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