Could Earth’s power supply already be insufficient for AI?
Elon Musk has proposed a very bold plan: sending AI computers into space.
According to him, SpaceX is preparing to co-design a space-based AI computer called StarMind with NVIDIA, with launches potentially beginning as early as the third quarter of 2027.
Even more surprising, this isn’t starting entirely from scratch.
Musk said SpaceX has already tested satellites equipped with NVIDIA GPUs, and recently launched a satellite carrying a Google TPU. The hardware has been operating well in space.
But why does he think AI needs to go into space?
The answer is electricity.
Musk gave a startling example:
Suppose AI computing power increases electricity demand by about 200 GW each year in the future. The U.S. power grid might struggle to handle it.
For comparison, the average power consumption in the United States is about 500 GW, while peak demand is around 1.2 TW.
In other words, if AI adds a sustained 200 GW of power load each year, that would be equivalent to adding about 40% of current average U.S. electricity consumption annually.
This is only a hypothetical scenario proposed by Musk; it does not mean AI is already consuming this much additional electricity every year.
He expects StarMind’s initial launches to begin in the third quarter of 2027, with deployments gradually increasing in 2028 and potentially reaching a much larger scale in 2029.
However, space-based AI computers still face many challenges.
These include how to dissipate heat, how to transmit large amounts of data back to Earth, satellite lifespans, and the enormous costs of launches and maintenance.
These problems haven’t all been solved simply because GPUs or TPUs can operate in orbit.
But this direction reflects an important trend:
The core of future AI competition may not just be who has the best models or the most chips, but who can secure enough energy to keep computing power running continuously.
If space-based data centers become a reality, the AI infrastructure industry could see a completely different competitive landscape.
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