AI's social license is written in the utility tariff: who pays when forecasts fail?
krishnan · x · 2026-10-25
krishnan's five-part thread argues the real question about AI data centers isn't how much power they use, but who pays when demand forecasts are wrong.
- Data centers arrive faster than plants and transmission lines; requested capacity can exceed actual use, and someone still pays for the steel.
- More data centers don't automatically mean higher household bills: big steady customers spread fixed costs, but local bottlenecks raise prices — spare capacity and tariff design decide which wins.
- Policy test: make AI developers carry the forecast risk they create via upfront interconnection payments, minimum demand commitments, and paying for flexible load — households shouldn't finance speculative compute.
Related event: AI Data Center Power Debate: Who Pays When Forecasts Fail(2 posts)→
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