Sponsors (7)
The bill improves measurement, grid integration, and environmental accounting for data centers (including AI workloads) to aid planning and international interoperability, at the cost of modest federal funding and increased reporting/proprietary-security risks for operators.
State and federal researchers and policymakers gain standardized, more accurate methods to measure data center energy and water use, improving planning, forecasting, and policy decisions.
Data center operators and electric utilities get clearer best practices for accounting for behind‑/front‑of‑meter generation and temporal load profiles, enabling better grid integration and operational coordination.
Operators and researchers can explicitly measure AI training and inference workloads, helping quantify and manage the environmental impacts of large AI jobs.
Data center operators and researchers may face proprietary and security risks because collecting and sharing detailed facility and workload data increases exposure of sensitive operational information.
Private operators, especially smaller firms, may incur new compliance, reporting, or operational costs to meet data collection and sharing expectations.
Taxpayers and the federal budget shoulder an estimated ~$10 million per year for FY2027–FY2029 to fund NIST research and program administration.
Based on analysis of 2 sections of legislative text.
Authorizes NIST to run a research program to develop measurement methods and standards for data center energy and water use, including AI workloads, and funds it $10M/year for FY2027–FY2029.
Official title: To direct the Director of the National Institute of Standards and Technology to develop best practices for measuring data center energy use, study data availability for the purpose of improving energy demand forecasting capabilities, and for other purposes.
Introduced June 18, 2026 by Suhas Subramanyam · Last progress June 18, 2026
Requires NIST, working with the Department of Energy, to run a multi-year measurement research program to develop and improve technical standards, methods, metrics, and best practices for measuring energy and water use by data centers and compute workloads, explicitly including AI model training and inference. The bill funds NIST at $10 million per year for FY2027–FY2029, directs stakeholder engagement and international coordination, and requires briefings to relevant congressional committees at one and two years after enactment.