H.R.9183 — A Bill Directing the EPA to Study the Environmental Impacts of AI Data Centers and Associated Energy Infrastructure
H.R.9183, introduced in the U.S. House during the 119th Congress, would require the Environmental Protection Agency (EPA) to study the environmental impacts of data centers used for artificial intelligence and the energy infrastructure that supports them.
Bill overview (primary data)
- Bill numberH.R. 9183
- TypeHouse Bill
- Congress119th Congress
- Latest actionReferred 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）
Key points
- A House bill (H.R.9183, 119th Congress) that would direct the EPA to study the environmental impacts of AI data centers and associated energy infrastructure.
- The official title calls for carrying out a study; it does not by its terms impose direct regulations or numerical standards.
- The context is growing attention to the energy, water, and emissions footprint associated with the expansion of AI (general background).
- Referred to the House Committee on Science, Space, and Technology and the Committee on Energy and Commerce on June 8, 2026.
- Referral to committee is the entry point of consideration; substance and status may change as the bill advances.
Data centers that power AI services run heavy computations continuously, drawing large amounts of electricity and using water to cool their servers. Depending on how that electricity is generated, they can also contribute to greenhouse gas emissions. This bill's aim, as reflected in its official title, is to have the EPA — the federal agency responsible for air, water, and waste and other environmental matters — study the environmental impacts of these AI data centers along with the "associated energy infrastructure," such as the power generation and transmission that supply them. The title calls for carrying out a study; it does not, by its terms, set specific regulations or numerical targets.
The backdrop is the recent surge in demand for AI. Training and running generative AI and large models require substantial computing resources, and new and expanded data centers are being built in many locations to meet that demand. This has raised interest, across both policy and industry, in how local electricity demand, water use, and generation-related emissions may be affected. The bill can be understood as a step toward first gathering the facts through a study by a public agency before drawing conclusions on these questions.
The measure was referred to two committees on June 8, 2026, and consideration is only beginning. Bills can change in substance and status as they move through the legislative process, and what is described here reflects the purpose and status as of referral. The specific scope and methods of the study cannot be determined from the available information, so this explainer does not speculate about those details.
Why it matters
Because this bill is at the stage of calling for a study, it does not currently impose new obligations on companies. Still, for operators involved in data centers, AI infrastructure, and electricity or water use, it signals growing attention to environmental impacts and the value of public fact-finding. Since the substance may change as the bill is considered, it can be useful to anticipate stronger expectations around environmental considerations and disclosure in plans for siting, power procurement, water use, and emissions.
FAQ
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Sources (primary)
Source: Congress.gov (Library of Congress; U.S. legislative materials, public domain). Links go to the official site.
- Congress.gov (bill page, original)
- H.R. 9183（119th Congress）