NASA Administrator Backs Moving AI Data Centers Into Earth Orbit
NASA Administrator Jared Isaacman said Wednesday that solar-powered data centers in Earth orbit could ease America's mounting conflicts over the land, water and grid capacity consumed by ground-based AI facilities. The proposal connects the space economy directly to the AI infrastructure boom at a moment when voters are pushing back on data center construction near their homes.
Isaacman framed orbital facilities as a way to draw on the sun's energy without competing for terrestrial resources. His comments arrive as public opposition to the data center boom intensifies. A Fox News poll this summer found 70% of voters oppose building AI data centers in their own area, while 79% said construction should slow to address environmental and community concerns rather than move quickly to maintain a competitive edge over China. Half of those opposed cited environmental issues, including energy and water use, pollution and noise, as their chief concern.
"Let's take our data centers, put them in Earth orbit, take advantage of that free fusion reactor that's out there for us and use that to ensure we do win the space race for sure, but the AI race, too," Isaacman said in an interview with Nexstar DC.
The concept carries engineering challenges. AI chips produce immense heat, and satellites would have to release it through large radiators. Operators would also need cheap, reliable launches, radiation-resistant hardware and laser links fast enough to connect thousands of computers spread across orbit.
Several companies are already pursuing the idea. Google has called Project Suncatcher a moonshot to place its TPU chips on solar-powered satellites linked by lasers, and plans to launch two prototype satellites by early 2027 to test its hardware in orbit and determine whether the satellites can share data fast enough for AI workloads. SpaceX is pursuing a more aggressive version. Its proposed AI1 satellite would stand about 98 feet tall, have a wingspan of roughly 246 feet and carry up to 175 kilowatts of average AI computers. SpaceX says it is building a Texas factory intended to produce thousands of the satellites as early as late 2027.
Smaller-scale tests are underway. Startup Starcloud launched a satellite carrying an Nvidia H100 chip in November and says it later ran a version of Google's Gemini model and trained a small language model in space. Starcloud plans its first commercial mission, Starcloud-2, for 2027. SpaceX has also asked the Federal Communications Commission for authority to deploy as many as 1 million orbital data-center satellites between 500 and 2,000 kilometers above Earth, using optical links to communicate with one another and with the Starlink network.
Isaacman presented the concept as a future direction worth exploring rather than a confirmed program. His framing ties the goals of winning the space race and the AI race together, positioning orbital computing as a solution to both a national competitiveness question and the local environmental objections now slowing terrestrial construction.
The FCC has accepted SpaceX's application for review but has not approved the constellation. Google's two prototype satellites are scheduled to launch by early 2027, SpaceX's Texas factory is targeting production as early as late 2027, and Starcloud's first commercial mission is planned for 2027.