Could AI data centres be moved to outer space?

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🗞️ Driving the news: As AI-driven data centres consume soaring amounts of electricity and water, some propose building them in space. But physics, cost, and orbital congestion suggest the idea is far less practical than it sounds

🔭 The context: AI’s growing resource footprint
• By 2028, AI servers alone could use as much electricity as 22% of US households
• Large terrestrial data centres consume millions of gallons of water per day for evaporative cooling
• Rising electricity demand could drive up power prices and increase fossil fuel generation
• Community pushback against new data centres is growing over water use, grid strain, and local environmental impact

🌍 Why it matters for the planet: Space is not a cooling shortcut
• In space, cooling can only happen through radiation, which is far less efficient than air or water-based cooling
• As computing systems scale up, volume (heat generation) increases faster than surface area (heat dissipation)
• A modest 1-megawatt space data centre would require nearly 980 square meters of radiating surface area
• Existing AI facilities on Earth often use 100 to 1,000 megawatts, making orbital cooling infrastructure exponentially larger and more expensive
• Additional risks include satellite collisions, orbital debris, radiation damage, and costly maintenance

⏭️ What’s next: Swarms instead of superstructures?
• Proponents now envision swarms of small satellites rather than massive orbiting data hubs
• SpaceX has reportedly sought permission to deploy up to 1 million AI-enabled satellites
• However, low Earth orbit already contains around 10,000 active satellites and roughly 10,000 metric tons of debris
• Scaling space-based computing could heighten risks of cascading orbital collisions (Kessler syndrome)

📈 One stat: By 2028, AI servers could consume as much electricity as 22% of all US households, underscoring the urgency of solving data centre sustainability on Earth.

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