The real moat in AI is not algorithms, not data, not even GPUs — it is electricity. Companies that own power generation capacity or have locked in long-term power purchase agreements will determine which AI companies can scale and which hit a wall. Vistra, Constellation Energy, and Southern Company own power generation assets that are becoming the most valuable real estate in AI infrastructure. Hyperscalers are signing 10-20 year power purchase agreements at premium rates because they cannot build AI data centers without guaranteed power supply. The thesis extends the Situational Awareness view: if power is the bottleneck, then power OWNERSHIP is the moat. GPU access is fungible — you can buy NVIDIA chips or AMD chips or use cloud providers. But a 500MW power contract in Virginia or Texas is not fungible. It is a scarce, location-specific asset that takes years to secure. This creates a new class of AI infrastructure company: not the compute layer, not the model layer, but the energy layer. These companies will extract rent from every AI workload that runs on their power for decades.
Sources rebuilt primary-first (catalogue II item 69): 3 primary, 1 secondary kept.
source: docs/plans/markets-work-catalogue-2026-09-07.md
