American manufacturing is at a crossroads. Record demand fueled by reshoring initiatives and clean energy investments clashes with a worsening skilled labor deficit.
Over 600,000 US factory jobs remained unfilled in 2024, with the National Association of Manufacturers warning that persistent shortages could cost $1 trillion annually in lost productivity by 2030. To make matters worse, it’s been estimated that about 10,000 baby boomers retire every day, which undoubtedly includes those with a lifetime of manufacturing experience.
The global talent shortage, projected at $8.5 trillion by Korn Ferry, is hitting the US hard, with 70% of manufacturers reporting moderate-to-severe workforce gaps. This deficit can stop production lines in their tracks, with downtime costing thousands in lost revenue per minute for manufacturers and even leading to shortages or higher prices for consumers.
The workforce multiplier
Enter technology. New applications for AI can address this gap by augmenting human expertise. Unlike conventional factory automation, which removes the need for people on certain tasks, these AI assistants collaborate with workers minute-to-minute, functioning as mentors accessible at any time. Industrial Copilot providers are even developing role-specific assistants for design, maintenance, and quality control. These assistants can solve an age-old problem in manufacturing: teaching.
Seasoned engineers might be able to “read machines’ thoughts” by knowing exactly what to do based on a complex error code. But it can take years for this type of hyper-specialized knowledge to be passed from one generation of engineers to the next. With AI, engineers can now use intuitive natural language queries to troubleshoot equipment live, allowing the copilot to answer their questions by drawing from manuals, real-time sensor data via IoT, and past failure patterns.
Accelerating America’s industrial priorities
Industrial AI technology shines in critical industries like electric vehicle manufacturing. These sectors present unique technological challenges that Industrial AI is poised to help solve, such as battery-testing systems, which are essential for US EV plants and require flawless quality assurance to meet strict safety standards.
Siemens
Before industrial copilots, engineers manually handled repetitive tasks like sensor configuration for battery discharge monitoring, compliance reporting for each inspection stage, and debugging machine control code. As a global leader of AI innovation, Siemens created industrial copilots designed specifically for engineering to automate these processes, which allow engineers to redirect their focus toward innovation and more complex problem-solving tasks.
As the director of digital factory solutions at thyssenkrupp, Marcel Pfeiffer, confirms: “The industrial copilot, especially for engineering, will help a lot to keep up with the pace of that game. In general, I’m convinced that AI copilots will become a game changer for the whole industry.”
The human advantage in the age of AI
The skilled labor shortage won’t vanish overnight. But with industrial copilots, expertise becomes scalable. Workers spend less time deciphering seldom-updated manuals and more time solving high-impact problems. Factories convert downtime into productive capacity, and US manufacturing builds resilience and efficiency, not by replacing people, but by enhancing them.
Through platforms like the Siemens Xcelerator marketplace, these solutions are rapidly becoming more accessible. Businesses can deploy purpose-built industrial AI alongside complementary digital tools — from simulation software incorporating digital twins to energy optimization systems on the factory or the grid scale — all integrated through an open ecosystem.
Siemens
As AI assistant technology advances, it’s revolutionizing manufacturing. New hires gain proficiency faster, seasoned engineers can dedicate their expertise to breakthrough innovations, and all workers are equipped with valuable new tools. This drives increased factory resilience, ensuring US production lines maintain a strong competitive advantage and continue to thrive.
See how industrial copilots from Siemens are bridging the skill gap with AI solutions.
This post was created by Siemens with Insider Studios.
