Sponsors (19)
Official title: To require the Administrator of the Environmental Protection Agency to carry out a study on the environmental impacts of artificial intelligence data centers and associated energy infrastructure, to require the Director of the National Institute of Standards and Technology to convene a consortium on such environmental impacts, and to require the Administrator to develop a reporting system for the reporting of the environmental impacts of artificial intelligence, and for other purposes.
Introduced June 8, 2026 by Donald Sternoff Beyer · Last progress June 8, 2026
The bill increases transparency, standardized measurement, and planning tools to reduce AI data centers' environmental and health impacts—benefiting communities and enabling targeted policy—but does so by imposing new reporting, compliance, and administrative costs and raising proprietary/confidentiality concerns that could slow deployment or shift costs to consumers.
Residents and local governments near AI data centers will get public, standardized data on energy, water use, and pollution so communities can assess health risks and plan local protections.
Operators, researchers, and regulators will face requirements and incentives to adopt energy- and water-efficient models, better hardware management, renewable co‑location, and e-waste disclosure, reducing utility demand and emissions over time.
Researchers, industry, and smaller organizations gain standardized lifecycle measurement methods and open-source tools to compare AI systems' environmental impacts and lower barriers to independent analysis.
Owners/operators of large compute facilities, and potentially smaller developers, face substantial new compliance costs to collect, verify, and publish detailed environmental and lifecycle data that may be passed on to consumers.
A broad AI-system definition and the 50 MW threshold could pull more products and facilities into federal oversight than expected, creating uncertainty and compliance burdens for smaller developers and operators.
Releasing detailed facility locations, infrastructure, and measurement methods can raise proprietary, commercial confidentiality, and competitive concerns for operators and may provoke local opposition.
Based on analysis of 7 sections of legislative text.
Requires federal studies and standards and mandates annual public environmental-impact reports from large AI data centers (50 MW+), plus a NIST-led consortium to set measurement methods.
Requires federal study, standards, and public reporting about the environmental and energy impacts of large-scale artificial intelligence (AI) systems and data centers. The EPA, working with DOE, NIST, OSTP, Interior, and FERC, must produce a comprehensive study within one year; NIST must convene a stakeholder consortium to set measurement and reporting standards; and operators of AI data centers above a power threshold must submit annual environmental-impact reports to the EPA under newly prescribed requirements.