A 5-year backlog on grid transformers just killed half of America's 2026 AI data centers. Sightline Climate tracked 12 GW of 2026 US data center capacity announced across 140 projects. Only 5 GW is actually under construction. 11 GW sits in the "announced" stage with no physical progress despite typical build times of 12-18 months. 25% of those projects haven't disclosed a power strategy at all. That last number is the tell. A quarter of "planned 2026 AI capacity" has no sourced answer to where the electrons come from. Call those projects what they are: vapor capex with a press release attached. Nvidia is shipping. The gating constraint is high-voltage transformers, switchgear, and grid-tie batteries. Pre-2020 lead time on a high-power transformer was 24-30 months. Today it stretches to 5 years. Electrical equipment is under 10% of total data center cost and 100% of the bottleneck. This breaks the standard analyst model. When a hyperscaler announces $50B of capex, the Street treats it as compute coming online in 18 months. If the transformer order wasn't placed in 2022, that money sits as commitment without capacity. You cannot pay for a transformer that doesn't exist yet. The winners under this regime are whoever locked in power purchase agreements and electrical equipment orders 3-4 years ago, before anyone was modeling hundreds of megawatts of inference load. Everyone else is waiting in line behind them. Second order is uglier. Hyperscalers buying $50B of GPUs that sit unpowered depreciate against Nvidia's annual cadence while paying carrying costs on empty data center shells. Every quarter dark is a quarter of compounding waste. The "we're 6 months from running out of compute" panic just became "we're 5 years from running out of transformers." Capital fixes one. Capital cannot manufacture a transformer.