Lawmakers and experts debate workforce disruption, call for upskilling and targeted training
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Committee members and witnesses discussed job displacement risks from AI and potential policy responses including expanded STEM education, apprenticeships, on‑the‑job retraining and barriers to labor mobility.
Members described job losses already occurring and asked witnesses what Congress should do to help workers adapt as AI is adopted across industries.
Ranking Member Brown and several members recounted constituents and students who are having difficulty obtaining work; Brown said recent job losses are “not theoretical.” Witnesses proposed a mix of policy responses. Kinsey Fabrizio recommended increased investment in STEM education, workforce reskilling and apprenticeships and said CTA is participating in an education pledge. “Workers will be given new tools if they use AI properly,” Fabrizio said, adding that AI can augment worker productivity.
Samuel Hammond suggested reducing barriers such as occupational licensing and focusing on on‑the‑job training; he said he was “relatively optimistic” in the short run because displaced workers may be adaptable. Dr. Nicole Turner Lee emphasized equitable access to training, AI literacy across K‑20 education, and protecting vulnerable communities from widening disparities. Turner Lee said immigrants and university research are central to maintaining U.S. innovation and warned that “policies that restrict immigration may threaten our innovation capabilities.”
Committee members pressed specifics about which jobs are most at risk and how to assist those in blue‑collar trades. Representatives argued for trade‑school investment and apprenticeships; witnesses agreed on the need for targeted programs but said evidence on net job gains versus losses remains uncertain.
No legislation was enacted at the hearing. Members indicated they will continue exploring workforce policies and oversight of industry transitions.
