HR5332-119

In Committee

Liquid Cooling for AI Act of 2025

119th Congress Introduced Sep 11, 2025

Summary

What This Bill Does

The Liquid Cooling for AI Act is a study and standards-development bill for high-density AI data centers. Congress cites rapid data center electricity growth, AI and cloud computing load, limits of traditional air cooling, and the need for interoperable liquid-cooling subsystems such as coolant distribution units, secondary loops, manifolds, hoses, quick-disconnects, pumps, leak detection, corrosion control, instrumentation, and heat-reuse interfaces. Within 30 days, GAO must begin a review of liquid-cooling research and development needs and market, technological, and regulatory conditions affecting data center use. The review must evaluate costs and benefits for high-performance computing, avoided energy and transmission costs, increased compute capacity, performance, resiliency, cybersecurity, adoption trends, direct-to-chip versus immersion cooling, coolant options, reference architectures, waste-heat reuse, and failure scenarios. GAO must consult federal, state, local, private-sector, academic, and National Laboratory stakeholders and coordinate with a liquid-cooling industry organization designated jointly with the Energy Secretary. GAO must report to DOE and congressional committees within 90 days; DOE must assess the report within 180 days and recommend research and development on liquid cooling and heat reuse.

Who Benefits and How

AI data center operators benefit from a federal review of liquid-cooling architectures, failure modes, lifecycle costs, and heat-reuse opportunities. Liquid cooling technology companies benefit from consultation with GAO, DOE, National Laboratories, and a designated industry organization. Department of Energy program offices benefit from a report focused on AI facility cooling, federal deployment decisions, and R&D priorities. Congressional energy committees benefit from GAO findings on energy costs, compute capacity, cybersecurity, and infrastructure impacts.

Who Bears the Burden and How

GAO analysts must launch the review within 30 days and report within 90 days. Energy Department staff must jointly designate an industry organization and submit an assessment within 180 days after GAO reports. Liquid cooling industry organizations must coordinate stakeholder input if designated for the review. Data center operators may face scrutiny of cooling failures, leak mitigation, cybersecurity, resilience, and market adoption.

Key Provisions

  • Requires GAO to review liquid-cooling research, market, technology, and regulatory conditions for data centers.
  • Requires analysis of direct-to-chip cooling, immersion cooling, coolant options, heat reuse, failure scenarios, cybersecurity, and lifecycle cost.
  • Requires consultation with governments, private-sector experts, academia, National Laboratories, and a designated industry organization.
  • Requires a GAO report within 90 days and a DOE assessment within 180 days after receiving the report.

Evidence Chain:

This summary is generated from the full bill text using AI analysis. Expand "Detailed Analysis" below for identified beneficiaries/burden bearers with clause-level evidence links.

At a Glance

What This Bill Does

Requires GAO to review liquid-cooling research, market, technology, regulatory, cybersecurity, reliability, heat-reuse, and deployment issues for AI data centers, consult a designated industry organization, report within 90 days, and requires DOE to assess the report within 180 days.

Key Policy Areas

Energy, Artificial Intelligence, Data Centers

Primary Purpose

Requires GAO to review liquid-cooling research, market, technology, regulatory, cybersecurity, reliability, heat-reuse, and deployment issues for AI data centers, consult a designated industry organization, report within 90 days, and requires DOE to assess the report within 180 days.

Policy Domains

Energy Artificial Intelligence Data Centers

Resolution provisions

Identified Gains
  • AI data center operators
  • Liquid cooling technology companies
  • Department of Energy program offices
  • Congressional energy committees
Model: codex-gpt-5 | Version: bill_summary_v2 | Source: ih
AI data center operators: ,
Congressional energy committees: ,
Liquid cooling technology companies: ,
Department of Energy program offices: ,
Identified Costs
  • GAO analysts
  • Energy Department staff
  • Liquid cooling industry organizations
  • Data center operators
Model: codex-gpt-5 | Version: bill_summary_v2 | Source: ih
GAO analysts: ,
Data center operators: ,
Energy Department staff: ,
Liquid cooling industry organizations: ,

Legislative Progress

In Committee
Introduced Committee Passed
Sep 11, 2025

Mr. Obernolte (for himself and Mr. Gottheimer) introduced the following …

Sep 11, 2025

Referred to the Committee on Energy and Commerce, and in …

Sep 11, 2025

Introduced in House

Stakeholder Effects

cui bono?

How this legislation distributes effects. Mention counts reflect frequency, not effect magnitude.

Government
6 mentions across 2 clauses
+2 positive -4 negative

Department of Energy program offices, Energy Department staff, GAO analysts

Positive-direction: Department of Energy program offices

Negative-direction: Energy Department staff, GAO analysts

Data Centers
4 mentions across 2 clauses
+2 positive -2 negative

AI data center operators, Data center operators

Positive-direction: AI data center operators

Negative-direction: Data center operators

Technology
2 mentions across 2 clauses
+2 positive

Liquid cooling technology companies

2/3
sections analyzed
Full impact breakdown

Bill Structure & Actor Mappings

Who is "The Secretary" in each section?

Domains
Energy Artificial Intelligence Data Centers

We use a combination of our own taxonomy and classification in addition to large language models to assess meaning and potential beneficiaries. High confidence means strong textual evidence. Always verify with the original bill text.

Learn more about our methodology