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HR 9334 - 119

Workforce for AI Trust Act

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

Bill highlights

Votes, text signals, source context, and latest movement from this record.

House votes
None linked

No House roll call vote is attached to this bill yet.

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Source context
Linked data

8 sectors · spending context

Review context
Bill text
9
analyzed sections
1 deadlines 1 tax signals
Open stats
Latest action
Jun 25, 2026

Committee Consideration and Mark-up Session Held

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Bill Text Stats

9
Analyzed sections
N/A
Detected dollar total
1
Tax signals
1
Deadlines

Signal counts

Tax density 11.1%
Spending density 11.1%
Statutory Reference 16
Benefits 3
Privacy 2
Agency 1
Deadline 1
Spending 1
Tax 1

Top agencies

Secretary of Labor 1

Statutory references

15 U.S.C. 9451 3
15 U.S.C. 278h-1 2
15 U.S.C. 272 1
15 U.S.C. 272 1
15 U.S.C. 9401 1
15 U.S.C. 9401 1
15 U.S.C. 9441 1
29 U.S.C. 152 1

House Votes

No House roll call votes have been linked to this bill yet.

Timeline

Jun 25, 2026

Committee Consideration and Mark-up Session Held

Jun 25, 2026

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

Jun 18, 2026

Introduced in House

Jun 18, 2026

Introduced in House

Jun 18, 2026

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

Affected Sectors

How to read this

Sectors are deterministic matches from official Congress.gov data and cached bill text. They are source-derived signals, not conclusions about intent or economic effect.

Evidence matches count official fields, normalized subjects, cached text snippets, or extracted entities that matched the sector rules.

Impact is a bill-level rollup used for sorting and filtering. It is not an economic impact estimate.

Confidence is the strongest individual match score behind that sector.

Evidence snippets show why a sector matched and can repeat when Congress.gov repeats the same phrase across official fields.

Technology and data privacy
52 evidence matches
Impact 100% Confidence 84%

Advanced technology and technological innovations

Computers and information technology

Secretary of Labor 04. NIST activities to categorize the artificial intelligence workforce (a) In general The Director of the National Institute of Standards and Technology, in consultation with the Secretary of Labor, the Director of the N

Education
18 evidence matches
Impact 100% Confidence 88%

Higher education

Higher education

Education programs funding

Labor and employment
9 evidence matches
Impact 100% Confidence 82%

Secretary of Labor secretary of labor

Secretary of Labor secretary of labor

Secretary of Labor 04. NIST activities to categorize the artificial intelligence workforce (a) In general The Director of the National Institute of Standards and Technology, in consultation with the Secretary of Labor, the Director of the N

Telecom and broadband
3 evidence matches
Impact 98% Confidence 86%

Science, Technology, Communications

Science, Technology, Communications

Workforce for AI Trust Act Ordered to be Reported in the Nature of a Substitute (Amended) by the Yeas and Nays: 35 - 0. Science, Technology, Communications

Energy
5 evidence matches
Impact 94% Confidence 80%

ct for Fiscal Year 2021 ( Public Law 116–283 )) is amended by adding at the end the following new paragraph: (12) National laboratory The term National Laboratory has the meaning given such term in section 2 of the Energy Policy Act of 2005

ew paragraph: (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 ).. (b) Fellowships Subsection (e) of section 5401 of the National Artificia

15 U.S.C. 9451 in section 2 of the Energy Policy Act of 2005 ( 42 U.S.C. 15801 ).. (b) Fellowships Subsection (e) of section 5401 of the National Artificial Intelligence Initiative Act of 2020 ( 15 U.S.C. 9451 ) is amended— (1) in paragraph

Defense
4 evidence matches
Impact 93% Confidence 80%

amended by 020 ( 15 U.S.C. 9401; enacted as part of title LIV of division E of the William M. (Mac) Thornberry National Defense Authorization Act for Fiscal Year 2021 ( Public Law 116–283 )) is amended by adding at the end the following new

ificial Intelligence Initiative Act of 2020 ( 15 U.S.C. 9401; enacted as part of title LIV of division E of the William M. (Mac) Thornberry National Defense Authorization Act for Fiscal Year 2021 ( Public Law 116–283 )) is amended by adding

tificial Intelligence Initiative Act of 2020 (15 U.S.C. 9401; enacted as part of title LIV of division E of the William M. (Mac) Thornberry National Defense Authorization Act for Fiscal Year 2021 (Public Law 116-283)) is amended by adding a

State and local government
1 evidence matches
Impact 83% Confidence 78%

tion 2(5) of the National Labor Relations Act ( 29 U.S.C. 152(5) ), except that such term shall also include the following: (A) Any organization composed of labor organizations, such as a labor union federation or a State or municipal labor

Finance and banking
2 evidence matches
Impact 82% Confidence 73%

organization' means an organization described in section 501(c)(3) of the Internal Revenue Code of 1986 and exempt from tax under section 501(a) of such Code. ``(4) Technical standard.--The term `technical standard' has the meaning given su

organization means an organization described in section 501(c)(3) of the Internal Revenue Code of 1986 and exempt from tax under section 501(a) of such Code. (4) Technical standard The term technical standard has the meaning given such ter

CBO Cost Estimates

Official Congressional Budget Office cost estimate links associated with this bill through Congress.gov records.

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LawLinter stores the source link from Congress.gov and does not replace the CBO document. Use these cards as pointers for source review, not as independent fiscal advice.

CBO context shows source-attributed Congressional Budget Office cost estimates linked from official Congress.gov bill records. It is research context only; read the official CBO source document for assumptions, scope, and dates.

No CBO cost estimate is currently linked for this bill.

Existing agency spending context

Official USAspending.gov award records for agencies connected through bill-text agency signals. This helps show the existing agency spending landscape around the bill, not spending caused by the bill.

How to read this

USAspending records describe federal awards, grants, contracts, loans, direct payments, recipients, agencies, and dates reported through the official public spending system.

LawLinter links this context through agency names detected in bill text. That bridge is a research shortcut and should not be read as a legal or budget conclusion.

USAspending context shows official public award records for agencies connected through LawLinter bill-text agency signals. It is historical spending and award context only, not proof that this bill caused, authorized, required, or changed any award, grant, contract, payment, or program spending.

Agency sample by amount

Where the local sample is concentrated

$13.8B
Department of Labor $13.8B
579 sampled awards

Amounts reflect the local USAspending sample linked through agency text signals, not bill-caused spending.

Largest sampled awards

Award records in this context

DEPARTMENT OF LABOR NEW YORK $412.6M
grants · Department of Labor
DEPARTMENT OF LABOR NEW YORK $324.5M
grants · Department of Labor
DEPARTMENT OF LABOR & INDUSTRY PA $243.9M
grants · Department of Labor
DEPARTMENT OF LABOR NEW YORK $223.0M
grants · Department of Labor
DEPARTMENT OF LABOR NEW YORK $218.2M
grants · Department of Labor
MICHIGAN DEPARTMENT OF LABOR AND ECONOMIC OPPORTUNITY $212.9M
grants · Department of Labor

These bars summarize the visible sampled awards below so large awards are easier to scan.

grants · AA385462255A36

DEPARTMENT OF LABOR NEW YORK

Department of Labor
Award amount
$218,153,379

AWARD PURPOSE THE PURPOSE OF THE WIOA YOUTH GRANTS IS TO PROVIDE RESOURCES FOR LOCAL WORKFORCE DEVELOPMENT AREAS TO DELIVER COMPREHENSIVE YOUTH SERVICES THAT FOCUS ON ASSISTING OUT-OF- SCHOOL YOUTH AND IN-SCHOOL YOUTH, WITH ONE OR MORE BARRIERS TO EMPLOYMENT, PREPARE FOR EMPLOYMENT AND POSTSECONDARY EDUCATION OPPORTUNITIES; ATTAIN EDUCATIONAL AND/OR SKILLS TRAINING CREDENTIALS; AND SECURE EMPLOYMENT WITH CAREER/PROMOTIONAL OPPORTUNITIES. ACTIVITIES PERFORMED WIOA SPECIFIES THAT STATES PROVIDE RESOURCES FOR LOCAL WORKFORCE DEVELOPMENT AREAS TO ADMINISTER YOUTH SERVICES. LOCAL WORKFORCE DEVELOPMENT AREAS DELIVER COMPREHENSIVE YOUTH SERVICES TO OUT-OF-SCHOOL YOUTH AND IN-SCHOOL YOUTH. TRAINING SERVICES INCLUDE: TUTORING; ALTERNATIVE SECONDARY SCHOOL SERVICES; PAID AND UNPAID WORK EXPERIENCES, WHICH INCLUDE: SUMMER AND YEAR ROUND EMPLOYMENT OPPORTUNITIES, PRE-APPRENTICESHIP PROGRAMS, INTERNSHIPS AND JOB SHADOWING, AND ON-THE-JOB TRAINING; OCCUPATIONAL SKILL TRAINING; EDUCATION OFFERED CONCURRENTLY WITH WORKFORCE PREPARATION AND TRAINING; LEADERSHIP DEVELOPMENT OPPORTUNITIES; SUPPORTIVE SERVICES; MENTORING; FOLLOW-UP SERVICES; COMPREHENSIVE GUIDANCE AND COUNSELING; FINANCIAL LITERACY EDUCATION; ENTREPRENEURIAL SKILLS TRAINING; SERVICES THAT PROVIDE LABOR MARKET AND EMPLOYMENT INFORMATION; AND POSTSECONDARY EDUCATION AND TRAINING PREPARATION ACTIVITIES. DELIVERABLES THE WIOA YOUTH PROGRAM OUTCOMES ARE TO PROVIDE ACTIVITIES THAT LEAD TO THE ATTAINMENT OF A SECONDARY SCHOOL DIPLOMA OR RECOGNIZED POST-SECONDARY CREDENTIAL AND/OR EMPLOYMENT. INTENDED BENEFICIARY YOUTH, BETWEEN THE AGES OF 14 AND 24, WITH ONE OR MORE OF THE FOLLOWING CHARACTERISTICS: LOW-INCOME; BASIC SKILLS DEFICIENT; ENGLISH LANGUAGE LEARNER; JUSTICE SYSTEM INVOLVEMENT; HOMELESS; RUNAWAY; IN FOSTER CARE; PREGNANT OR PARENTING; INDIVIDUAL WITH A DISABILITY; OR WHO REQUIRES ADDITIONAL ASSISTANCE TO COMPLETE AN EDUCATIONAL PROGRAM. SUBRECIPIENT ACTIVITIES LOCAL WORKFORCE DEVELOPMENT AGENCIES DELIVER COMPREHENSIVE SERVICES TO OUT-OF-SCHOOL AND IN-SCHOOL YOUTH TO PREPARE THEM FOR POSTSECONDARY EDUCATION AND EMPLOYMENT. SOME OF THE TYPES OF SERVICE ACTIVITIES MAY INCLUDE BUT ARE NOT LIMITED TO: TUTORING; PAID AND UNPAID WORK EXPERIENCES, OCCUPATIONAL SKILL TRAINING, FOLLOW-UP SERVICES; AND COMPREHENSIVE GUIDANCE AND COUNSELING, AND SUPPORTIVE SERVICES.

View award profile Official USAspending source
grants · UI393392355A36

DEPARTMENT OF LABOR NEW YORK

Department of Labor
Award amount
$187,373,821

AWARD PURPOSE THE PURPOSE OF THIS GRANT IS TO ADMINISTER THE STATE'S UNEMPLOYMENT INSURANCE PROGRAM ACTIVITIES. ACTIVITIES PERFORMED FUNDING PROVIDED TO THE STATE IS FOR COSTS INCURRED FOR THE OPERATION OF THEIR UNEMPLOYMENT INSURANCE PROGRAM. THIS INCLUDES THE STATE'S UNEMPLOYMENT INSURANCE ADMINISTRATIVE WORKLOAD AND THEIR ABILITY TO PROCESS CLAIMS. THIS ALSO INCLUDES THE OPERATION OF THE STATE'S CLAIMANT SYSTEMS AS WELL AS STAFFING LEVELS AND OVERHEAD COSTS. DELIVERABLES THE STATE IS ABLE TO MAINTAIN OR IMPROVE LEVELS OF PERFORMANCE REGARDING THE TIMELINESS AND QUALITY OF PROCESSING UNEMPLOYMENT INSURANCE CLAIMS, AS WELL AS EFFECTIVELY HANDLE IMPROPER PAYMENTS. THE STATE'S ABILITY TO IDENTIFY FRAUDULENT CLAIMS AND REDUCE IMPROPER PAYMENT RATES IS MAINTAINED OR IMPROVED. INTENDED BENEFICIARY UNEMPLOYED CLAIMANTS. SUBRECIPIENT ACTIVITIES THE RECIPIENT DOES NOT INTEND TO SUBAWARD FUNDS.

View award profile Official USAspending source
grants · 25A55UI000111

DEPARTMENT OF LABOR NEW YORK

Department of Labor
Award amount
$177,608,375

PURPOSE: THE PURPOSE OF THIS GRANT IS TO ADMINISTER THE STATES UNEMPLOYMENT INSURANCE PROGRAM ACTIVITIES.ACTIVITIES TO BE PERFORMED FUNDING PROVIDED TO THE STATE IS FOR COSTS INCURRED FOR THE OPERATION OF THEIR UNEMPLOYMENT INSURANCE PROGRAM. THIS INCLUDES THE STATES UNEMPLOYMENT INSURANCE ADMINISTRATIVE WORKLOAD AND THEIR ABILITY TO PROCESS CLAIMS. THIS ALSO INCLUDES THE OPERATION OF THE STATES CLAIMANT SYSTEMS AS WELL AS STAFFING LEVELS AND OVERHEAD COSTS. EXPECTED OUTCOMES: THE STATE IS ABLE TO MAINTAIN OR IMPROVE LEVELS OF PERFORMANCE REGARDING THE TIMELINESS AND QUALITY OF PROCESSING UNEMPLOYMENT INSURANCE CLAIMS, AS WELL AS EFFECTIVELY HANDLE IMPROPER PAYMENTS. THE STATES ABILITY TO IDENTIFY FRAUDULENT CLAIMS AND REDUCE IMPROPER PAYMENT RATES IS MAINTAINED OR IMPROVED.INTENDED BENEFICIARIES: UNEMPLOYMENT COMPENSATION CLAIMANTS.SUBRECIPIENT ACTIVITIES: THE RECIPIENT DOES NOT INTEND TO SUBAWARD FUNDS.

View award profile Official USAspending source

Campaign Finance Context

Related FEC/OpenFEC campaign-finance records for lawmakers and candidates tied to this bill through source-attributed legislative relationships. These are not donations to the bill itself.

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They are not donations to this bill, spending on this bill, or proof that money influenced or caused sponsorship, cosponsorship, votes, or legislative outcomes.

If multiple linked lawmakers have FEC records, this section can show multiple candidate cards and separate sponsor/cosponsor rollups.

Campaign-finance context uses source-attributed FEC/OpenFEC records that are related or relevant to the displayed bill, lawmaker, candidate, committee, or legislative relationship through deterministic links. It is research context only, not proof of influence, causation, endorsement, or that money caused a sponsorship, vote, or legislative outcome.

No FEC/OpenFEC campaign-finance context is currently linked for this bill.

Lobbying Context

Related LDA.gov filings where public lobbying activity descriptions reference this bill. These records are source-attributed research context, not evidence of influence or causation.

How to read this

LDA filings are public lobbying disclosure records. LawLinter links them here only when the filing activity text contains an exact-looking reference to this bill.

A filing can mention many issues, clients, agencies, or bills. A match should be treated as a pointer for review, not as a conclusion about why legislation changed or how any lawmaker acted.

Lobbying context uses source-attributed LDA.gov records that appear related to this bill through bill references in public lobbying activity descriptions. It is research context only, not proof of influence, causation, endorsement, lobbying effectiveness, or legislative intent.

No LDA.gov lobbying disclosure context is currently linked for this bill.

Summary

00 Introduced in House Aug 24, 2026

Workforce for AI Trust Act This 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).

Sponsors

Craig, Angie
Cosponsor

Craig, Angie

Democratic · MN-2 · C001119

Joined Jul 22, 2026
Website
N/A
Phone
(202) 225-2271
Office
2052 Rayburn House Office Building

Amendments

No amendment records are currently available for this bill.
Compiled bill record. Bill pages combine Congress.gov source payloads, normalized relationships, cached text analysis, vote links, and deterministic sector/signal extraction. This is not an official government record or legal advice; use the official source link when accuracy matters.
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