Sponsors (2)
The resolution pushes large AI-serving data centers to pay for targeted grid upgrades—helping protect local reliability and household bills—while risking cost‑shifting to other ratepayers and concentrating investments in data‑center regions at the expense of broader equity.
Homeowners and small-business owners would face fewer surprise electricity rate increases because large AI-serving data centers would be required to fund dedicated grid upgrades, reducing upward pressure on residential and small‑business bills.
Utilities and local residents would see improved local grid reliability during scarcity events because large data centers would be obligated to fund backup generation and delivery capacity.
State governments and utilities would get clearer, targeted signals about rapidly rising data‑center electricity use, helping DOE and regulators plan transmission upgrades where demand is concentrated.
Taxpayers and homeowners could face higher costs if large firms secure separate rate deals that reduce bargaining leverage for other ratepayers, shifting costs onto remaining customers and jurisdictions.
Small businesses, customers, and investors could bear higher charges because requiring companies to pay for infrastructure regardless of actual use (pay‑whether‑used) transfers planning and financial risk to companies and ultimately to their customers or investors.
Rural and other non‑data‑center communities could be deprioritized for grid investments, creating local equity and environmental‑justice concerns if upgrades are expedited primarily where large data center clusters exist.
Based on analysis of 1 section of legislative text.
States findings on growing data-center electricity use and records a private pledge by major cloud firms to accept separate rates and pay for generation/delivery capacity whether or not they consume the power.
Introduced March 25, 2026 by Richard Lynn Scott · Last progress March 25, 2026
States findings that U.S. data centers used roughly 183 terawatt-hours in 2024 (over 4% of U.S. electricity) and could grow to about 12% by 2028 as AI workloads expand. Notes that current utility cost-recovery spreads transmission and distribution costs across all ratepayers, creating local rate pressures where data centers cluster, and records a private Ratepayer Protection Pledge by major cloud and AI firms to accept separate rate arrangements and to pay for generation and delivery capacity whether they actually consume the power.