The American Manufacturing Summit wraps up today in Chicago, and the conversations happening here reflect an industry at a genuine inflection point. Technology is advancing fast. Policy is shifting constantly. And the workforce challenge isn’t getting easier.
For those who couldn’t make it, here’s what’s defining the manufacturing landscape right now.
AI is everywhere, but most manufacturers aren’t ready for it.
98% of manufacturers are exploring or considering AI-driven automation, yet only 20% say they feel fully prepared to use it at scale. The gap isn’t ambition. It’s infrastructure. Companies with clean data and modern systems are making progress. Those without these foundations struggle to move beyond pilot projects. Meanwhile, the technology isn’t slowing down. By 2026, over 40% of manufacturers with a production scheduling system in place will upgrade it with AI-driven capabilities to start enabling autonomous processes.
Tariffs have created real pressure…and a reshoring reality check.
Trade deficits are shrinking and investment announcements are surging, but these measures reflect activity, not yet sustainable U.S. manufacturing capacity. Structural costs remain high, and nearly 500,000 manufacturing jobs remain unfilled because modern factories require digital, robotics, and AI skills that current training systems can’t supply at scale. Reshoring is a strategy. But without a workforce to support it, it’s also a risk.
The workforce crisis is structural, not cyclical.
By 2033, U.S. manufacturers may need as many as 3.8 million new workers. Researchers predict as many as 1.9 million jobs could remain unfilled if manufacturers are unable to address the skills and applicant gaps. The problem isn’t just headcount. The top concern for more than a third of manufacturing executives surveyed by Deloitte was equipping workers with the skills and knowledge they need to maximize the potential of smart manufacturing and operations.
Recruiting alone won’t close that gap. Attracting the next generation of manufacturing talent often starts with a reframe: lead with technology, not tradition. Pairing that with community college and vocational partnerships helps build the pipeline from the ground up. The manufacturers pulling ahead are treating workforce development as a competitive strategy, not an HR function.
Physical AI is coming to the plant floor—sooner than most expect.
About 22% of manufacturers plan to use physical AI by 2027, including robotic dogs and humanoids to accomplish sorting, transporting and other tasks. Early movers like Hyundai and Foxconn are already testing autonomous robots on production lines. This isn’t science fiction. It’s a capital planning conversation happening right now.
Cybersecurity is manufacturing’s fastest-growing blind spot.
Threat actors targeted manufacturers more than any other industry in 2025. As plants add connected equipment, IoT sensors, and AI-driven systems, the attack surface grows with every upgrade. Most manufacturers’ cybersecurity posture hasn’t kept pace with their technology investment.
The common thread across all of these challenges is people.
Technology sets the ceiling, but your workforce determines whether you actually reach it.
A “build, buy, or borrow” framework for workforce planning could help manufacturers remain agile: build talent most critical to core operations, buy external expertise that’s costly to develop internally, and borrow through temporary workers to meet fluctuating demand. The manufacturers that figure out how to move fluidly across all three will be the ones who scale.
Snelling works with manufacturers across the country to fill that gap, connecting plants with skilled, flexible talent across production, maintenance, and technical roles.
Learn more at snelling.com
