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Congress Introduces Bipartisan AI Talent Act to Modernize Federal Hiring

Sponsors say a statute offers a durable fix that helps agencies compete with industry.

Overview

  • Introduced Dec. 10 in both chambers by Rep. Sara Jacobs with Sens. Andy Kim and Jon Husted, the bill has House co-sponsors Jay Obernolte, Shontel Brown and Pat Fallon and now awaits committee consideration.
  • The proposal would create AI and tech talent teams inside agencies and a centralized Office of Personnel Management unit to lead pooled hiring, training and shared resources.
  • Agencies would shift to skills-based hiring using validated technical assessments and cross-government "shared certificates" to verify applicants’ proficiency.
  • The legislation calls for phasing out automated self-assessments over five years to improve candidate evaluation.
  • The measure can extend its model to other high-need roles such as cybersecurity, IT and data science, and it has endorsements from groups including the Bipartisan Policy Center and Encode AI.