“All of the United States currently uses only about half a terawatt of power on average,” Musk told Dwarkesh Patel in the Feb. 5 episode of the Cheeky Pint podcast.
“Imagine trying to build enough power plants to double that. People don’t realise how hard that actually is.”

‘Less than 36 months’
His concerns, he explained, center on the difficulty of scaling power generation quickly enough to support increasingly energy-hungry AI systems.
“My prediction is that by far the cheapest place to put AI will be space in 36 months or less, maybe 30 months,” he said. “Less than 36 months, mark my words.”
Musk, whose SpaceX is already working on a Mars colonization program, explained that current discussions around AI growth often underestimate the sheer physical demands of running advanced systems. Massive data centers, specialized hardware and cooling systems all require enormous and continuous energy supplies, something he believes Earth cannot expand fast enough.
Solar-powered AI
Solar panels placed in orbit receive constant sunlight and are not affected by weather, nighttime cycles or atmospheric interference.
“Solar cells are already very cheap, around 25 to 30 cents a watt in China,” Musk said. “Put them in space and it’s effectively 10 times cheaper because you don’t need batteries. Once launch costs drop, space becomes the most scalable place to generate AI, and it’s not even close.”
Harness sun
Musk, who in 2023 founded xAI, framed the issue in existential terms, suggesting that Earth’s inability to scale power infrastructure quickly enough could leave humanity technologically stranded while AI development continues elsewhere.
“You start thinking in terms of what percentage of the sun’s power you’re harnessing,” he said. “Then you realize you have to go to space. You can’t scale very much on Earth.”
Solar-powered data center
Roughly 15,000 satellites orbit Earth today, including more than 9,600 active Starlink satellites – all owned by Musk’s SpaceX. A one-million-satellite data center network would be unprecedented in scale.
Musk’s warning adds to growing concerns among experts about AI’s environmental and infrastructural footprint. As data centers multiply worldwide, their energy consumption has become a major issue for governments and utilities already struggling to meet climate and demand targets.