AI in Manufacturing: Securing American Leadership in Manufacturing and the Next Generation of Technologies
Commerce, Trade and Consumer Protection
2025-02-12
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Source: Congress.gov
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Transcript
The committee will come to order. Good morning, everyone. The chairman recognizes himself for five minutes. First of all, I want to say happy birthday to one of our greatest presidents, not the greatest president we ever had, Abraham Lincoln. Today's the 12th, right? Yeah, absolutely. And then also, I want to make sure I remember this. One of my staffers has been with me about 10 years, including the internship. He's made me a better member and he's worked really hard on healthcare, but also this committee, this particular committee is assigned to me, my staffer for this committee. And I tell you what, he's made me a better member. and I want to congratulate him for all his work. His name is Jim, excuse me, Chris Jones, and he'll be going over to the other side. But you know what, not the Senate, but he deserves a lot of credit. I think we've done a lot in this committee, and I'll tell you what, we have terrific staff. But thank you very much, Chris, for all your hard work. Congratulations, and God bless you. All right. So good morning, everyone, and welcome to the first committee, the Commerce, Manufacturing, and Trade Subcommittee hearing of the 119th Congress. I'd like to express my sincere congratulations to my good friend, the Chair, Mr. Guthrie. on his appointment to the powerful Energy and Commerce Committee, the oldest standing legislative committee in the House, I don't care what ways and means says, and the best darn committee in Congress, by far.
I also want to thank the Chair for putting his faith in me to lead this important subcommittee, which has broad jurisdiction, over a great many important matters. This will be a busy Congress, and I'm excited to lay the groundwork to accomplish a robust legislative agenda. I would be remiss if I didn't identify and welcome to this wonderful panel the new members of the Energy and Commerce Committee. Mr. Bence from Oregon. Ms. Houchin from Indiana, we'll be working on COSA together. Mr. Fry from South Carolina. Ms. Lee from the great state of Florida, was a great friend of mine in Go Gators. And Mr. King from New Jersey. Mr. Evans from Colorado. And Mr. Goldman from Texas. Welcome, welcome. I also want to thank my very good friend, Russ Falter from the great state of Idaho. He'll be serving as my vice chair. He's going to do an outstanding job. So it's either Gus or Russ. That's what he says. So, and finally, it is good to be sitting next to my good friend, Ms. Schakowsky from Illinois. I'm greatly looking forward to working with you again and all the members on this particular subcommittee. Now onto the business at hand. I'm 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. We know generative AI is currently dominating the headlines for its specific use case of AI, such as how DeepSeek is capturing warranted attention with their collection of Americans' personal data and subsequently sharing it with the Chinese Communist Party.
But I think we must remember that generative AI, and of course, has some positive aspects, there's no question, but generative AI is only a specific use case of this technology. And AI's applications are much broader than what has claimed the spotlight recently. We have seen how AI applied to vehicles is paving the way for the next generation of vehicles that will drive themselves. I tell you what, it's very, very exciting, particularly with someone with disabilities such as myself. These autonomous vehicles promise to greatly improve auto safety. the most important thing, and provide vast mobility benefits to every American, including those with disabilities. We have also seen how the technology holds the power to completely revolutionize American manufacturing and bolster our supply chain. By integrating AI and machine learning into supply chain systems, we can better predict constraints and find potential weak points which can be used to prevent shocks that disrupt entire industries.
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