Congress Targets Data Center Resource Use
Coverage from Representative Suhas Subramanyam, Water Education Foundation, and others
Articles
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Active Days
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The Topic

U.S. lawmakers are advancing several proposals to improve how data centers, particularly large AI facilities, measure and disclose electricity and water use. The measures would involve NIST, the Department of Energy, and the Environmental Protection Agency in developing standards or reports, while other proposals address efficiency requirements and tax benefits. The activity reflects growing concern that inconsistent resource data is complicating grid planning, water management, permitting, and local decisions, especially in Texas and other water-stressed areas.
First Article: 05/22/26
Latest Article: 07/23/26
Summary
- H.R. 9372 passed the House Science, Space, and Technology Committee 34-1 and would have NIST and DOE develop data center energy and water measurement standards.
- The POWER Act would require DOE and EPA to report on water use, grid connections, and connection costs for certain large or expedited-permit data centers.
- S. 5054 would require data center operators to report electricity and water use while removing bonus depreciation for AI data centers; it remains at an early legislative stage.
- A House appropriations amendment would direct DOE toward improving data center water and energy efficiency, signaling bipartisan congressional attention to resource impacts.
- The proposals seek more consistent information for electricity forecasting, infrastructure planning, siting, and public oversight.
- Texas is a prominent pressure point because of rapid data center interest, drought conditions, grid constraints, water availability concerns, and local project disputes.
History
The story has advanced from general congressional interest to specific legislative movement, led by a committee-approved House bill and a new appropriations amendment. The biggest shift is that federal action is now more concrete, with multiple proposals converging on standardized data and efficiency requirements for AI data centers.
The story has broadened from a single federal reporting push into a wider package of legislative efforts tying data center disclosures to tax treatment, efficiency standards, and permitting oversight. It also moves from general concern about resource use to concrete committee action and multiple sponsors shaping standardized measurement rules.
