This article explores why behind-the-meter power is becoming the critical bottleneck solution for AI data centers.

The piece walks through why the legacy grid struggles with explosive AI load growth, why interconnection studies and permitting create multi-year delays, and why gas turbines are an imperfect fallback despite their baseload profile. It frames the AI power market as shifting from a capital-scarce regime to a permission-scarce regime, where time-to-power, regulatory simplicity, and deployability matter more than headline efficiency. It also explains why compute scarcity makes every month of delay economically brutal.

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