AI Resilience Report forElectrical and Electronic Equipment Assemblers

If you're worried about robots taking electronics assembly jobs, here's the honest picture: AI is already changing how the work gets done, but it's mostly helping assemblers rather than replacing them outright. The U.S. Bureau of Labor Statistics notes that modern manufacturing systems use robots, computers, and other technologies, and many physically difficult tasks, such as tightening massive bolts or moving heavy parts into position, have been automated or made easier through the use of power tools ^[1]. On the inspection side, AI-powered Automated Optical Inspection (AOI) can distinguish between a true defect and a false call with 99% accuracy, which catches mistakes faster than the human eye and lets workers focus on trickier assembly steps.

Still, a lot of the actual hands-on assembly is genuinely hard to automate. An executive at Alphabet's robotics company Intrinsic recently explained that in electronics assembly, where parts vary and positioning isn't perfect, tasks like cable handling or connector insertion are hard to automate reliably. The BLS adds that much of the small-scale production of electronic devices for aircraft, military systems, and medical equipment must be done by hand ^[1].

Newer "physical AI" — including humanoid robots — is starting to appear, but a Manufacturing Leadership Council survey reported by Manufacturing Dive ^[2] found only about 22% of manufacturers plan to use physical AI by 2027, including robotic dogs and humanoids to accomplish sorting, transporting and other tasks. As IPC President John Mitchell put it, AI won't replace us; AI will feel like a true partnership—one that's practical, intelligent, and, yes, a little more human.

Adoption is moving quickly in some areas and slowly in others. Pushing it forward: a real labor shortage and growing demand for U.S.-made electronics. The BLS projects ^[1] that electrical, electronic, and electromechanical assemblers are employed in fast-growing manufacturing industries, such as those that produce electric vehicle (EV) batteries and semiconductors, and as a result, demand for these workers is expected to increase.

The World Economic Forum's 2025 Future of Jobs data ^[3] projects that while 92 million jobs might be eliminated by 2030, 170 million new roles will be created because of AI, resulting in a net gain of 78 million.

Slowing adoption: traditional factory robots are pricey and rigid, and small-batch electronics (medical, aerospace, defense) need flexible human hands. Also, the BLS notes assemblers and fabricators are increasing efficiency by working alongside robots, also known as "collaborative robotics," which may reduce the demand for some assemblers, and new facilities likely will incorporate more automation technologies that may require workers to have high-level skills ^[1]. The best move for young people entering this field is to lean into upskilling — by engaging with the Global Electronics Association educational programs, companies can "upskill" their existing workforce to handle the complexities of 2026 manufacturing, which keeps you valuable as the tools evolve.