Force 1: The End of Easy Terrestrial Scaling for AI
The first driver is a collision with physical limits on Earth. The voracious appetite of Artificial Intelligence for computation and energy is outstripping the capacity of our terrestrial infrastructure.
The AI Energy Crisis For decades, the tech industry relied on Moore's Law to deliver more performance-per-watt. That era is over. Today, training a single large AI model can consume over 500 MWh of electricity. This has led to a data center building boom that is straining power grids globally, creating a direct economic incentive to find a more efficient operating environment.
The Physics of Space Orbit offers a solution rooted in fundamental physics. The two largest operational expenditures for a terrestrial data center are power and cooling. Space provides both for free. Satellites can access continuous, 24/7 solar radiation, and passively radiate waste heat into the cold vacuum of space.
