Latest action: 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.
Referred to one or more standing committees for review, hearings, and possible markup.
Specific committees not parsed from action data.
The committee may hold hearings, amend the bill, or let it die without action.
Next: Reported
Full chamber floor — Speaker / Majority Leader controls scheduling
Requires study of how artificial intelligence affects the environment.
The problem
AI systems use significant electricity and resources, but the environmental impact is not well understood or measured by the government.
The proposal
The bill directs federal agencies to research and report on how AI development and operation affects energy use, water consumption, and emissions.
The impact
AI companies, tech industry, environmental agencies, and policymakers would need to track and report environmental data related to artificial intelligence.
The bill would create comprehensive data on how much energy, water, and resources AI systems actually use. This information helps lawmakers and companies make informed decisions about AI development.
Detailed research provides a foundation for future laws that could reduce AI's environmental harm. Policymakers can set evidence-based standards instead of guessing.
Requiring measurement and reporting encourages tech companies to develop more energy-efficient AI systems. Public accountability can drive innovation in cleaner technologies.
Companies would spend money conducting studies and gathering environmental data. These compliance costs could be passed to consumers through higher prices.
Extensive reporting requirements and monitoring could slow development of new AI applications. Companies might hesitate to expand AI services while complying with environmental rules.
Government agencies may lack expertise and resources to properly study complex AI environmental impacts. Research quality depends on adequate funding and staffing.
Generated by AI from the bill text. Not a prediction and not legal or policy advice. The percentage is the model's own rating of each item — self-reported, and not a measure of how accurate it is.
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Individual contributions, grouped by employer · FEC
Where their individual donors work · 2026 cycle
Money from people who work there, not from the company. Not tied to this bill.
Itemized individual contributions via FEC, grouped by the employer each contributor self-reported. Companies and unions cannot contribute to federal candidates from their treasuries, so these totals are money from people who work at an employer — never from the organization itself. They are campaign contributions covering a full election cycle and are not connected to this bill.
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