United States 119th Congress Status: In Committee Bipartisan · 2 D · 1 R cosponsors

HR 9334 — Workforce for AI Trust Act

Last action — Ordered to be Reported in the Nature of a Substitute (Amended) by the Yeas and Nays: 35 - 0.

  1. ✓
    Introduced
  2. 2
    In Committee
  3. 3
    Passed House
  4. 4
    Passed Senate
  5. 5
    To Executive
  6. 6
    Enacted

This bill is in committee in the House. Introduced June 18, 2026. It must pass committee before a floor vote.

Next likely step: a committee vote, then a floor vote in the House.

Odds of enactment

Low chance

Based on the sponsor, cosponsors, and committee posture, this bill has a low chance of becoming law.

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A statistical estimate from our own model of past outcomes — an insight, not a guarantee. Policymaking is volatile.

Prognosis

Advancing 36% · moderate confidence

  • In Committee

    Current position in the legislative process.

  • 3 sponsors

    1 primary, 2 co-sponsors signed on.

  • Bipartisan support

    Sponsored across 2 parties (2 D · 1 R) — cross-party backing.

Based on stage, sponsorship breadth, committee status, recorded votes, and cross-state momentum — a description of the observable signals, not a prediction.

In plain language

The bill supports workforce development for artificial intelligence technologies.

The Workforce for AI Trust Act focuses on creating and improving job training and education programs for workers in the AI field. It aims to enhance the skills needed for emerging roles in artificial intelligence.

What this means for you
  • Workers: This means more opportunities for workers to gain skills and training in the expanding field of AI.

Summary

Workforce for AI Trust ActThis bill provides for various workforce development and research programs related to artificial intelligence (AI).For example, the bill authorizes the National Institute of Standards and Technology (NIST) to support education and workforce development activities to expand careers in the AI workforce. Further, the bill requires NIST to develop a common system for describing and classifying AI-related tasks, knowledge, and skills that can be used to develop job descriptions or competency areas (an AI workforce framework). NIST must develop guidelines for using the framework and take other steps to support external use (e.g., through outreach and dissemination to AI education programs).Separately, the National Science Foundation (NSF) may make awards through eligible institutions of higher education to support graduate and postdoctoral research fellowships across disciplines (including in social science and humanities) related to trustworthy AI. NSF may also make awards to support institutional workshops to advance the development and training of trustworthy AI systems.NSF must encourage the use of AI to accelerate work across NSF-supported fields, including by supporting (1) training for undergraduate and graduate students and postdoctoral researchers, (2) workshops on the application of trustworthy AI to new uses, and (3) supplements to existing research awards for applying AI to ongoing research.Further, NSF must generally ensure that merit review panels convened to evaluate AI-related proposals incorporate perspectives from diverse research disciplines (e.g., social science, ethics, and linguistics).

Bill Text

How this bill changes current law

9 changes Share ↗

Compared against current U.S. Code AI-generated reading aid — verify against the official bill.

The bill adds definitions, expands funding opportunities for interdisciplinary artificial intelligence fellowships, and enhances workforce development support related to artificial intelligence.

  • 15 U.S.C. 9401

    (12) National laboratory.--The term `National Laboratory' has the meaning given such term in section 2 of the Energy Policy Act of 2005 (42 U.S.C. 15801).

    Adds a definition for 'National Laboratory' referencing an existing law.

  • 15 U.S.C. 9451

    faculty → interdisciplinary artificial intelligence fellowships.

    Changes the title of a section to focus on interdisciplinary fellowships.

  • 15 U.S.C. 9451

    (D) Interdisciplinary artificial intelligence fellowships.--(i) In general.--The Director of the National Science Foundation may support graduate and postdoctoral research fellowships for students and postdoctoral researchers from across disciplines, including social science disciplines and the humanities, by making awards through eligible institutions of higher education for research and related activities related to the trustworthy design, development, training, deployment, evaluation, and understanding of artificial intelligence.

    Establishes a new fellowship program for diverse disciplines in AI research.

  • 15 U.S.C. 9451

    (4) Artificial intelligence skills-based training across the national science foundation.--The Director of the National Science Foundation shall seek to encourage the application of artificial intelligence systems to accelerate scientific discovery and technology development across all fields of STEM supported by the Foundation...

    Introduces new provisions for skills-based training in artificial intelligence across STEM fields.

  • 15 U.S.C. 9451

    (3) Workshops.--The Director of the National Science Foundation may make awards for the development and hosting of intra- or inter-institutional workshops to facilitate the growth of multidisciplinary teams that can advance the development and training of trustworthy artificial intelligence systems.

    Adds the ability to fund workshops aimed at developing multidisciplinary teams in AI.

  • 15 U.S.C. 9451

    (g) Peer Review Panels.--As practicable and appropriate, the Director of the National Science Foundation shall ensure any merit review panel convened to evaluate a proposal related to artificial intelligence systems research and related activities integrates perspectives from multiple and diverse research disciplines, including researchers from social science, technology ethics, normative ethics, legal, and linguistic disciplines.

    Establishes a requirement for diverse perspectives in AI research proposal reviews.

  • 15 U.S.C. 272

    (14) to provide industry, government, and research, nonprofit, and educational institutions with workforce frameworks for critical and emerging technologies...

    Enhances the NIST's responsibilities to include developing workforce frameworks for emerging technologies.

  • 15 U.S.C. 278h-1

    (3) support education and workforce development activities to expand the artificial intelligence workforce...

    Introduces a mandate for NIST to support workforce development in AI governance.

  • 15 U.S.C. 9441 et seq.

    NIST ACTIVITIES TO CATEGORIZE THE ARTIFICIAL INTELLIGENCE WORKFORCE.

    Creates a new section focused on NIST's activities regarding the artificial intelligence workforce.

Action History

  1. Introduced in House

  2. Introduced in House

  3. Referred to the House Committee on Science, Space, and Technology.

  4. Committee Consideration and Mark-up Session Held

  5. Ordered to be Reported in the Nature of a Substitute (Amended) by the Yeas and Nays: 35 - 0.

Sponsors

Sponsorship breakdown

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1 sponsors · 2 co-sponsors · 544 not signed on

Sponsors (1)

Co-sponsors (2)

Not signed on (544)

544 members have not signed on to this bill.

Show all 544 →

"Not signed on" means a member has not sponsored or co-sponsored this bill — it does not imply opposition. Members flagged Voted No have a recorded No vote on this bill.

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Subjects

labor technology
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Frequently asked questions

What does HR 9334 do?
Workforce for AI Trust ActThis bill provides for various workforce development and research programs related to artificial intelligence (AI).For example, the bill authorizes the National Institute of Standards and Technology (NIST) to support education and workforce development activities to expand careers in the AI workforce. Further, the bill requires NIST to develop a common system for describing and classifying AI-related tasks, knowledge, and skills that can be used to develop job descriptions or competency areas (an AI workforce framework). NIST must develop guidelines for using the framework and take other steps to support external use (e.g., through outreach and dissemination to AI education programs).Separately, the National Science Foundation (NSF) may make awards through eligible institutions of higher education to support graduate and postdoctoral research fellowships across disciplines (including in social science and humanities) related to trustworthy AI. NSF may also make awards to support institutional workshops to advance the development and training of trustworthy AI systems.NSF must encourage the use of AI to accelerate work across NSF-supported fields, including by supporting (1) training for undergraduate and graduate students and postdoctoral researchers, (2) workshops on the application of trustworthy AI to new uses, and (3) supplements to existing research awards for applying AI to ongoing research.Further, NSF must generally ensure that merit review panels convened to evaluate AI-related proposals incorporate perspectives from diverse research disciplines (e.g., social science, ethics, and linguistics).
Who sponsors HR 9334?
HR 9334 is sponsored by Lofgren, Zoe (Democratic), Lucas, Frank D. (Republican), and Craig, Angie (Democratic).
What is the current status of HR 9334?
This bill is in committee in the House. Introduced June 18, 2026. It must pass committee before a floor vote.
Where can I track HR 9334?
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