Siemens' CTO says AI can help address the U.S. manufacturing industry's big skills gap
Briefly

The U.S. manufacturing sector is struggling to attract skilled workers, with the average tenure of manufacturing employees dropping from 20 years in 2019 to just 3 years in 2023. Many workers entering this sector lack sufficient skills, further complicating efforts to restore manufacturing jobs in America. Siemens has initiated a pilot program utilizing AI to support engineering teams, allowing workers to troubleshoot manufacturing issues more effectively. This AI tool can assist in reducing machine downtime, translating to significant time and cost savings for factories.
Peter Koerte, the chief technology officer and chief strategy officer at Siemens AG, points to research that shows that the average tenure of a U.S. manufacturing worker has slipped from 20 years in 2019 to just 3 years in 2023.
'Which means that most of the people that you find-and in particular if we want to bring back manufacturing to the United States-they're unskilled,' says Koerte. 'Because nobody wants to have a factory job.'
This year, the company expanded the effort by launching an industrial foundational model that was specifically designed for industrial applications.
Read at Fortune
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