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House subcommittee hears how AI could reshape U.S. manufacturing, amid concerns about federal uncertainty
Summary
Witnesses told the House Energy and Commerce subcommittee that industrial AI can boost productivity, safety and supply‑chain resilience — but members and witnesses warned that recent federal funding freezes, trade and data‑access disputes could slow investment and planning.
Chairman Bill Bilirakis, chair of the House Energy and Commerce Subcommittee on Commerce, Manufacturing, and Trade, opened the Feb. 12 hearing saying he was “excited to kick this Congress off with an educational hearing examining the state of American manufacturing and how it can be revolutionized with the use of artificial intelligence.” The panel heard testimony from industry and academic witnesses on how AI is being used now in factories and supply chains, and on what federal policy could do to accelerate adoption while managing risks.
The hearing’s witnesses — Jason Oxman, president and CEO of the Information Technology Industry Council (ITI); Elizabeth Reynolds, professor of the practice at MIT; Jeff Kinder, executive vice president for product development and manufacturing solutions at Autodesk; and Barbara Humpton, president and CEO of Siemens USA — described a set of use cases that subcommittee members said could help U.S. manufacturers lower costs, reduce downtime, and improve worker safety.
"AI means increased efficiency, productivity, safety, and innovation," Jason Oxman told the committee, and he urged policies that support tax incentives, workforce training, broader access to federal datasets and…
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