Key Takeaways
- •The subcommittee acknowledged AI's transformative impact on workplaces, with bipartisan agreement on the need for balanced policy that protects workers while fostering innovation and economic growth.
- •Witness Sharfuddin (Mercatus Center) highlighted that current federal labor statistics are inadequate for tracking AI's task-level impact on jobs, urging Congress to close these data gaps.
- •Rep. Scott (Democratic-VA-3) pressed Witness Kelley (Littler Mendelson P.C.) on how discrimination via AI could be proven under existing laws if the EEOC is not pursuing disparate impact cases.
- •Republicans, like Witness Kelley, emphasized that existing laws are sufficient and new regulations could stifle innovation, while Democrats, like Rep. Lee (Democratic-PA-12), called for new federal guardrails and stronger enforcement to protect workers.
- •The committee committed to continued work on AI policy, stressing the need for better data collection and thoughtful regulations to ensure American workers and businesses benefit from AI adoption.
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Hearing Analysis
Overview
On February 3, 2026, the House Education and the Workforce Subcommittee on Health, Employment, Labor, and Pensions held a hearing titled “Building an AI-Ready America: Adopting AI at Work.” Chaired by Rep. Rick Allen (R-GA-12), the hearing examined the integration of artificial intelligence (AI) into the American workplace, focusing on its potential to boost productivity, the adequacy of existing labor laws, and the necessity of protecting worker privacy and civil rights. Ranking Member Mark DeSaulnier (D-CA-10) emphasized the need for a balanced approach that prevents AI from becoming a tool for worker exploitation or invasive surveillance.
Key Testimony
The witness testimony presented a dichotomy between the promise of technological innovation and the risks of automated management. Mr. Bradford Kelley, a shareholder at Littler Mendelson P.C. and former official at the Equal Employment Opportunity Commission (EEOC), argued that the United States already possesses a technology-neutral legal framework—including the National Labor Relations Act (NLRA) and Title VII of the Civil Rights Act—capable of addressing AI-related misconduct. He cautioned against "regulating in haste," citing the Colorado AI Act and New York City’s AI law as examples of flawed or ineffective legislation. Conversely, Ms. Tanya Goldman, a fellow at Workshop and former Department of Labor (DOL) official, testified that workers are already experiencing harms from algorithmic management, such as wage suppression and unsafe work paces. She advocated for federal guardrails, including transparency requirements and "human-in-the-loop" mandates for significant employment decisions.
Industry Impact
Economic impacts and data collection were central themes. Ms. Revana Sharfuddin, a research fellow at the Mercatus Center at George Mason University, highlighted a critical "blind spot" in federal statistics. She noted that while AI is unlikely to eliminate entire occupations, it is rapidly transforming specific tasks within those jobs. She urged Congress to direct the Bureau of Labor Statistics (BLS) and the Census Bureau to implement an AI supplement to the Current Population Survey (CPS) to track these shifts. Mr. David Walton, a partner at Fisher Phillips, invoked "Jevons’ Paradox" to argue that AI would likely increase total employment by making resources more efficient and lowering costs, much like the internet and spreadsheets did in previous decades.
Policy Proposals
Several specific policy proposals and legislative items were discussed. Rep. John Mannion (D-NY-22) highlighted his bipartisan "Immersive Technology for the American Workforce Act," which seeks to integrate AI and virtual reality into job training. Rep. Suzanne Bonamici (D-OR-1) discussed the "No Robot Bosses Act" (H.R. 6371), aimed at preventing fully automated personnel decisions, and the "Stop Spying Bosses Act," which targets invasive workplace surveillance. Rep. Summer Lee (D-PA-12) advocated for the "AI Civil Rights Act" and the "Eliminating Bias Act" to ensure accountability and transparency in algorithmic tools.
Overview
The hearing touched on various industries, with notable mentions of the creative arts, warehousing, and healthcare. Rep. Lucy McBath (D-GA-6) raised concerns about "theft" of likeness and voice in the entertainment industry, citing agreements made by unions such as IATSE, SAG-AFTRA, and the Writers Guild of America (WGA) to protect human labor from generative AI. Ms. Goldman and Mr. Walton also discussed the impact on the nursing profession, specifically regarding AI tools used to detect burnout versus those used to set variable gig-work wages. Other organizations mentioned included Amazon, which was cited for injuries related to automated processing speeds, and the Communications Workers of America (CWA), which has negotiated protections against excessive monitoring in call centers.
Partisan dynamics were evident in the debate over regulatory philosophy. Republican members, including Rep. Tim Walberg (R-MI-5) and Rep. Burgess Owens (R-UT-4), expressed concern that overregulation would allow global competitors like China to outpace the U.S. They were particularly critical of a 2022 memorandum from the NLRB General Counsel, Jennifer Abruzzo, which they characterized as a "Halloween scare" that presumptively deemed many AI tools unlawful. Democratic members focused on the power imbalance between corporations and workers, arguing that existing agencies like the EEOC and the DOL’s Wage and Hour Division are too underfunded to police the "black box" of AI without new, specific authorities.
Industry Impact
Notable exchanges included a discussion between Rep. DeSaulnier and Ms. Goldman regarding "ghost jobs"—fraudulent job postings used by algorithms to collect data—and the cognitive impact of predictive algorithms on the future workforce. Additionally, Rep. Robert Scott (D-VA-3) questioned how disparate impact discrimination could be proven if AI systems remain opaque and federal enforcement capacity is diminished. Mr. Kelley responded that existing "commissioner charges" at the EEOC remain a viable path for enforcement, though he maintained that AI often reduces human subjectivity and bias.
Overview
The hearing concluded with a consensus on the importance of transparency, though members disagreed on whether that transparency should be achieved through voluntary employer "buy-in" or mandatory federal regulation. Chairman Allen noted that the record would remain open for 14 days for additional statements, including a submitted statement from Workday regarding AI and the workforce. No specific deadlines for follow-up legislation were set, but the subcommittee signaled an ongoing commitment to monitoring BLS data and the evolving role of the NLRA in the digital age.
Transcript
[Gavel sounds.] The subcommittee on Health, Employment, Labor, and Pensions will come to order. I note that a quorum is present. Without objection, the chair is authorized to call a recess at any time. Today's hearing will examine how artificial intelligence, or AI as we all know, is reshaping American workplaces and what that means for job creators and employees. AI is no longer science fiction. It is here and it is significantly transforming industries and workplaces. Optimistically, this technology may boost productivity, empower workers, and put the American dream within reach for more Americans. In my neighboring district, the Port of Savannah has invested more than $4.5 billion in infrastructure to support its supply chain operations, an investment that has made it the fastest growing port in the U.S. on the U.S. East and Gulf Coast. But as AI becomes more common in the workplace and fuels American innovation, we must ensure that workers are protected as well. To build an AI-ready America, we must first understand AI technologies themselves, how employers are using these tools, and the potential risk that AI adoption poses to workers. We want to help American workers and job creators compete and succeed in an AI-driven economy. Today's hearing is a strong step in that direction. Today we will discuss how the National Labor Relations Act can continue to protect workers' rights and promote stable relationships between employees and management in the age of AI. As AI adoption grows, labor laws and their enforcement should strike the right balance between protecting workers and allowing innovation to spur job creation and business growth. This hearing will also discuss the critical role of data collection to gain understanding of AI's impact on workers. The Bureau of Labor Statistics, BLS, plays an important role in tracking workforce trends, and it can help inform how AI is changing the modern workforce. Leveraging BLS insights will help us identify the challenges ahead and allow us to make evidence-based policy decisions. While technology can make our workplaces better, trust and transparency always benefits the workplace. Employers protect rights, strengthen morale, and build trust when they communicate openly about how AI is deployed in the workplace. That trust is essential for a competitive workforce and strengthens the ties between workers and job creators. The bottom line is that AI can create a lot of opportunities without compromising fairness or safety. We appreciate the insights our witnesses will offer about how we can ensure that innovation serves people and not the other way around. With that, I yield to the ranking member for an opening statement.
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