Energy: The Overlooked Force Powering the AI Explosion

Why cheap, abundant power—not just chips or models—will decide winners in the next decade

AI's hunger for electricity is reshaping global energy demand at a scale few appreciate. Massive data centers, GPU clusters, and inference at billions of queries per day require unprecedented power generation and storage. Batteries paired with renewables are emerging as the fastest path to unlocking grid capacity, while long-term visions point to space-based solar compute. Political and regulatory hurdles slow progress in the West, but the physics and economics favor rapid scaling—especially for integrated players.

Key Takeaways

• AI data centers consume city-level electricity; cooling alone can eat 40% of usage, with inference scaling to billions of daily queries driving even higher demand.

• Batteries + solar effectively double grid capacity by storing off-peak energy and discharging during peaks, bypassing the need for many new power plants or transmission lines.

• Tesla deployed 46.7 GWh of energy storage in 2025 (up ~50% year-over-year), with energy gross margins around 29-31%—far outpacing automotive margins.

• Battery costs have plummeted from over $1,000/kWh in 2010 to ~$115 today, following Wright's Law patterns of 20-30% cost drops per production doubling.

• Distributed home batteries (like Powerwalls) form virtual power plants, stabilizing grids and enabling resilience without centralized failures.

• Nuclear offers reliable baseload for AI, with co-location deals accelerating, but permitting delays (15-20 years) favor faster-deploy solar + storage.

• China leads in solar and battery rollout; the U.S. faces grid bottlenecks, NIMBY opposition, and regulatory delays.

• Space-based solar AI compute—enabled by low-cost launches, free cooling in vacuum, and constant sunlight—could become the lowest-cost path for massive inference in the coming years.

• The full ecosystem convergence: solar/batteries for power, rockets for deployment, AI for workloads, and satellite networks for connectivity.