SpaceX shopping for xAI gained’t make AI in house occur rapidly, regardless of what Elon Musk proclaims
Elon Musk has added another line to his history of technological predictions that sail far beyond optimistic and into the delusional. As part of announcing the acquisition of his xAI company by (the also Musk-run) SpaceX, he declared that not only was space ideal as a cheap location for running AI servers, but that it would happen faster than most kitchen renovations on Earth.
“My estimate is that within 2 to 3 years, the lowest cost way to generate AI compute will be in space,” Musk wrote in the announcement. ” This cost-efficiency alone will enable innovative companies to forge ahead in training their AI models and processing data at unprecedented speeds and scales, accelerating breakthroughs in our understanding of physics and the invention of technologies to benefit humanity.”
But a grand, interplanetary vision isn’t the same thing as a realistic business plan – especially not one that delivers within 36 months. The infrastructure isn’t ready. Merging an AI company with a rocket company doesn’t fast-forward the Earth’s rotation. If you believe Musk will have AI data centers in orbit before 2030, I’ve got a used Tesla humanoid robot to sell you.
Imaginary booster rockets
Space offers uninterrupted solar radiation, ambient cold for thermal dissipation, and the ultimate perk for remote work: zero zoning restrictions. Musk’s point isn’t entirely unfounded. Data centers are energy-devouring creatures, sucking up power, land, and water, and sparking political battles.
Meanwhile, in orbit, you’re above the clouds and below the radar. No utility bills. No water rights battles. There are many reasons to be intrigued by orbital compute. But there are many more to be skeptical of its imminent arrival.
Even assuming record-setting rocket launch schedules that are all successful, getting mass to orbit still isn’t cheap. Launching a full data center’s worth of equipment into space, with radiation shielding, thermal management, fault tolerance, and redundancy, is not something that can be done affordably in any timeline under a decade. And that assumes zero maintenance or upgrades. Terrestrial centers swap out dead GPUs like old lightbulbs. Up there, your only hope is robotic servicing or tons of redundancy.
And all that sunlight energy comes with plenty of less enticing radiation. Cosmic rays, solar flares, and the general hostility of space are not side issues. They’re central to why most satellites are hardened, expensive, and decades behind in chip design. GPUs built for inference and training are fragile. They aren’t designed to float above the Van Allen belt.
Not to mention the space trash. Putting thousands of compute satellites into low-Earth orbit could cause a cascade of collisions. SpaceX is already dominant in orbital traffic. Layering a second orbital network of AI computers could raise significant regulatory and environmental backlash, even wittout constant danger of crashes.
Decades, not years
As a long-term plan, space data centers could be a great option. They could offload pressure from power grids, avoid zoning fights, and scale globally without boiling local lakes. The physics aren’t impossible, but the equations translate to complex, difficult, expensive engineering. Three years for a functioning AI data center in orbit is not serious, and people who say it will happen shouldn’t be taken seriously.
Not because people don’t want to make the orbiting AI data centers happen, but because large-scale infrastructure, especially in space, requires patience, iteration, and a willingness to admit when Earth is still the better option. Admitting mistakes and backing down from grandiose fever dreams are not habits for Musk. But, like his robots, his fleet of self-driving cars, and his video game prowess, the orbiting AI centers are laughable nonsense. Give the project to real engineers and ask them about a real timeline, and we’ll see how the first satellites are doing in a decade or so.
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