AI Talent Act
- Bill Number
- H.R. 6573
- Origin Chamber
- House
- Congress
- 119th Congress, Session 1
- Policy Area
- Government Operations and Politics
- Status
- Introduced
- Latest Action
- 2025-12-10: Referred to the House Committee on Oversight and Government Reform.
- Last Updated
- 2026-01-07T17:06:42Z
AI-Generated Summary
Purpose of the Legislation
The AI Talent Act (H.R. 6573) aims to enhance the federal government's ability to hire skilled professionals in technology and artificial intelligence (AI) roles. It focuses on streamlining competitive service hiring processes—meaning the standard merit-based system for most federal jobs—by creating specialized teams and improving assessment tools to attract and select top talent more efficiently.
Key Provisions
- Agency Talent Teams: Federal agencies can form one or more "technology and AI talent teams" at the agency or component level. These teams include roles like certificate coordinators (who manage lists of qualified candidates), recruiters, assessment experts, subject matter experts (professionals with deep knowledge in the field), and support staff for AI governance, innovation, and risk management.
- Duties: Teams assist in hiring for tech and AI positions by improving job exams, drafting job announcements, sharing lists of qualified candidates, and using expert-led processes to fill competitive service roles.
- Agencies can also create guidance for other high-need hiring areas, and the Office of Personnel Management (OPM, the federal agency overseeing civil service rules) can expand its own hiring support team to promote best practices like "pooled hiring" (grouping candidates for multiple agencies).
- OPM-Led Federal Talent Team: OPM's Director can establish a government-wide team to support agency efforts, focusing on:
- Pooled hiring across agencies for tech and AI roles.
- Providing training and developing tech platforms for hiring.
- Ensuring best practices, leading recruitment drives, creating technical tests, and sharing candidate lists and resumes under existing federal hiring laws (5 U.S.C. §§ 3318(b) and 3319(c)).
- OPM can also form teams for other urgent hiring needs and expand its hiring experience team for rapid or large-scale recruitment, starting with AI-related roles.
- Technical Assessments: For tech and AI job exams in competitive service:
- Experts (with relevant job knowledge) can partner with human resources to create and administer custom assessments tailored to the position, used to qualify candidates or rank them under category rating (a system grouping applicants by qualifications).
- Assessments can be shared between agencies with controls to protect materials, and receiving agencies can adapt them if they meet federal regulations (5 C.F.R. Part 300).
- OPM must create an online platform for sharing and customizing these assessments, where users can rate content for usefulness (OPM won't validate quality itself).
- Agencies should use existing tools like the USA Hire platform when possible.
- Definitions:
- Agency: Refers to major executive branch departments listed in federal budget laws (31 U.S.C. § 901(b)).
- Examination: A job test allowing candidates to show skills through assessments, including expert-reviewed resume checks based on job analysis (a study of required duties). Starting 5 years after enactment, exams cannot mainly rely on self-assessments from automated tools unless waived.
- Waivers for Self-Assessments: An agency's Chief Human Capital Officer (top HR leader) can allow limited use of automated self-assessments by justifying it in a report to OPM. OPM provides guidance, posts waivers publicly, and they only take effect after posting.
- Examining Agency: OPM or agencies delegated hiring exam authority.
- Subject Matter Expert: A designated employee or official with position-specific knowledge to help build and run assessments.
- Technical Assessment: Job-related tests (e.g., interviews, work exercises, coding tests, or industry-standard evaluations) based on job analysis and relevant to the role.
Significant Changes to Existing Law
- Introduces new structures like agency-specific and government-wide talent teams, which did not exist before, to centralize and specialize tech/AI hiring support.
- Expands OPM's role in creating sharing platforms and promoting pooled hiring, building on but not replacing current laws like 5 U.S.C. §§ 1104, 3318, and 3319.
- Modifies examination rules by defining them more rigorously and limiting over-reliance on automated self-assessments after 5 years (with waiver options), promoting expert involvement to ensure fairness and relevance— a shift from potentially less rigorous automated methods.
- Allows broader sharing and customization of assessments while maintaining regulatory compliance, enhancing flexibility without altering core merit principles.
Potential Impacts
- On Government Agencies: Streamlines hiring for critical tech and AI roles, potentially reducing vacancies and improving efficiency in areas like AI governance and innovation. Agencies gain tools for faster, pooled recruitment, but must invest in teams and platforms.
- On Citizens: Benefits job seekers with tech/AI skills by offering clearer pathways to federal jobs through better exams and shared candidate pools, making the process more accessible and merit-focused. It may increase competition for these roles but ensures assessments are job-relevant.
- On International Relations: Minimal direct impact, though better AI talent could indirectly strengthen U.S. government capabilities in global tech policy and cybersecurity.
Main Stakeholders Affected
- Federal Agencies: Especially those with tech/AI needs (e.g., defense, intelligence, and innovation-focused departments), who will form teams and use new tools.
- OPM and HR Professionals: Gain expanded responsibilities for oversight, training, and platform management; hiring managers benefit from simplified processes.
- Tech and AI Job Applicants: Primary beneficiaries through improved, expert-driven hiring that values demonstrated skills over self-reported ones.
- Subject Matter Experts: Federal employees or officials tasked with developing assessments, potentially increasing their workload but providing opportunities to shape hiring.
Notable Legal, Constitutional, or Political Implications
- Legal: Reinforces merit-based civil service principles under Title 5 of the U.S. Code by emphasizing job analysis and expert input, reducing risks of biased or ineffective automated hiring. Waiver process adds accountability via public reporting, aligning with transparency requirements.
- Constitutional: Supports Article II executive hiring powers while upholding the merit system established by the Pendleton Act (1883), ensuring appointments are based on qualifications rather than politics.
- Political: Could face bipartisan support for modernizing federal workforce amid AI growth, but implementation costs and OPM's expanded role might spark oversight debates in Congress. No major controversies evident, as it focuses on efficiency without altering core employment rights.
This summary was generated by AI and may contain inaccuracies. Refer to the official source document for the authoritative text.
Sponsor
Cosponsors (3)
Rep. Obernolte, Jay [R-CA-23], Rep. Brown, Shontel M. [D-OH-11], Rep. Fallon, Pat [R-TX-4]
Recent Actions
- 2025-12-10: Referred to the House Committee on Oversight and Government Reform.
- 2025-12-10: Introduced in House
- 2025-12-10: Introduced in House
Bill Versions
- AI Talent Act — issued 2025-12-10 — PDF (11 pages)