// news · policy · industry2026-05-29source: domain-b / bipartisan policy center / global policy watch

AI power surge quietly pushes up US utility bills — CWIP rate-base inclusion shifts data-center buildout cost to ratepayers across multiple states

AI data-center power demand is pushing up US utility bills as multiple states approve Construction Work In Progress (CWIP) rate-base inclusion — a rate-design mechanism that lets utilities recover data-center grid-buildout costs from existing ratepayers during construction rather than after commercial operation. The policy decision shifts cost burden from data-center operators to residential and commercial ratepayers and is becoming a procurement-policy consideration for AI infrastructure siting.

The rate-design substance is the operational piece. CWIP rate-base inclusion is a public-utility-commission policy decision that determines whether utility infrastructure capital expenditure is recovered from customers during the construction phase (CWIP allowed) or only after the asset enters commercial operation (CWIP disallowed). For AI data-center grid-buildout — multi-hundred-million-dollar transmission upgrades, substation construction, generation interconnection — the choice of CWIP treatment determines whether ratepayers see the cost during the construction window or after the data-center revenue starts flowing. Multiple states approving CWIP for AI-data-center buildout shifts the cost-bearing party meaningfully.

The political-consequence is what makes the policy broadly consequential. NextEra Energy's $67B acquisition of Dominion Energy consolidates utility-side AI-grid-capacity at the same time the cost-recovery question is becoming politically visible. Residential and small-business ratepayers seeing utility-bill increases that are traceable to AI data-center buildout is the kind of issue that drives state-level political responses: rate cap proposals, AI-buildout-specific tariff design, or per-MW-fee structures on AI compute facilities. The procurement-policy consequence for hyperscalers is that AI-infrastructure siting decisions through 2026-2027 will increasingly factor in regulatory-political-risk of the destination state's PUC posture on cost-allocation.

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