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.
Sponsor
Full profile: /officials/B001292
Source: Congress.gov · FEC
Cosponsors (1)
Members who have signed on to support this bill since introduction. Source: Congress.gov.
Latest Action
The most recent step in the bill's legislative path. Committee Activity below shows referrals and reports; the full action-by-action history including floor proceedings lives at Congress.gov →
Referred to the Committee on Science, Space, and Technology, and in addition to the Committee on Energy and Commerce, for a period to be subsequently determined by the Speaker, in each case for consideration of such provisions as fall within the jurisdiction of the committee concerned.
2026-06-08
Source: Congress.gov
Committee Activity
Currently in
- House Committee on Energy and CommerceReferred To · 2026-06-08
- House Committee on Science, Space, and TechnologyReferred To · 2026-06-08
Plain-English Summary
The EPA would study how artificial intelligence data centers and their power plants affect the environment, while the National Institute of Standards and Technology would bring together experts to discuss these impacts. The EPA would also create a system for companies to report how much energy and resources their AI operations use and what environmental damage they cause. This affects tech companies running AI services, energy providers, and communities near data centers.
AI-assisted summary generated from the official bill metadata (title, subjects, actions) sourced from Congress.gov. Cached and reviewed. Always verify against the official text linked below.
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