S3269-119

In Committee

Liquid Cooling for AI Act of 2025

119th Congress Introduced Nov 20, 2025

Analysis under review: This bill has generated analysis that may be too generic or incomplete. Clause-level evidence remains available below.

Summary

What This Bill Does

Requires GAO and DOE to review liquid cooling deployment for AI and data centers, identify research and market needs, and provide recommendations on standards, best practices, and research priorities.

Who Benefits and How

Data center, AI infrastructure, and energy stakeholders gain a federal assessment of liquid cooling adoption, R&D needs, and best practices.

Who Bears the Burden and How

GAO, DOE, and participating stakeholders must conduct the review, support an advisory committee, and prepare formal reports and recommendations.

Key Provisions

  • Finds that liquid cooling is increasingly important for AI and high-density data center workloads.
  • Requires a GAO review covering R&D needs, costs, benefits, market conditions, standards, and best practices.
  • Requires a DOE assessment and recommendations after receiving the GAO report.

Evidence Chain:

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

At a Glance

What This Bill Does

Requires GAO and DOE to review liquid cooling deployment for AI and data centers, identify research and market needs, and provide recommendations on standards, best practices, and research priorities.

Key Policy Areas

Technology, Energy, Government Operations

Primary Purpose

Requires GAO and DOE to review liquid cooling deployment for AI and data centers, identify research and market needs, and provide recommendations on standards, best practices, and research priorities.

Policy Domains

Technology Energy Government Operations

Main Provisions

Identified Gains
Contextual inference, no direct clause citation
  • Data center and AI infrastructure operators
  • Federal policymakers planning AI-related energy and infrastructure strategy
Model: codex-gpt-5 | Version: bill_summary_v2 | Source: is

Contextual inference, no direct clause citation

Identified Costs
Contextual inference, no direct clause citation
  • GAO and DOE officials conducting the review
Model: codex-gpt-5 | Version: bill_summary_v2 | Source: is

Contextual inference, no direct clause citation

Legislative Progress

In Committee
Introduced Committee Passed
Apr 15, 2026

Committee on Energy and Natural Resources Subcommittee on Energy. Hearings …

Nov 20, 2025

Mr. McCormick (for himself, Mr. Coons, Mr. Budd, and Mr. …

Nov 20, 2025

Read twice and referred to the Committee on Energy and …

Nov 20, 2025

Introduced in Senate

Stakeholder Effects

cui bono?

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

Federal Administration
1 mention across 1 clause
-1 negative

GAO and Department of Energy officials conducting the review

1/2
sections analyzed
Full impact breakdown

Bill Structure & Actor Mappings

Who is "The Secretary" in each section?

Domains
Technology Energy Government Operations

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