AI Resilience Report forCoil Winders, Tapers, and Finishers

If you're worried about robots taking over coil winding jobs, here's the honest picture: most of the work is already being done by machines, and AI is making those machines smarter — but skilled humans are still in the loop. The global coil winding machine market is poised for a significant structural shift between 2026 and 2035, transitioning from a niche industrial equipment sector to a critical enabler of mass electrification. A recent industry analysis lists advancements in winding machine technology, such as IoT integration and AI-driven quality control ^[1] as primary demand drivers, alongside industrial automation trends pushing manufacturers to adopt automated winding solutions to improve consistency and reduce labor costs.

The clearest example of AI augmentation comes from electric vehicle motor production. German motor maker SciMo recently announced that the new winding line relies on robotic systems guided by a sophisticated software stack, rather than the conventional CNC-style machines that dominate the motor industry. These robots execute fine, force-controlled movements to place each fragile rectangular wire into the stator slots with more accuracy than skilled human technicians.

The company says it has gone from three weeks of hand-winding per stator to fully automated production ^[2], cutting winding labor costs in half. Smaller shops are catching up too — Wire and Cable Technology International reports that many still rely on disconnected systems, spreadsheets, printed work orders and manual reporting ^[3], and digital tools are now closing that gap by automating the work-order review and production-logging tasks that used to be done by hand.

Adoption is accelerating but uneven. A PwC survey of 443 industrial executives found that manufacturers are expecting to more than double their use of automation, artificial intelligence and other advanced technologies by 2030, with the median share of advanced technology adoption rising from 26% to 68% ^[4] over five years ^[5]. The strongest push comes from EV and renewable energy demand, which favors high-speed automated stator and transformer lines.

But several brakes are slowing things down. IndexBox flags high capital investment required for advanced automated winding systems, limiting adoption among small and medium-sized enterprises (SMEs) and technical complexity and skilled labor shortage for operating and maintaining high-precision CNC and automated winding systems. SciMo itself notes that a single SciMo stator is expected to take roughly six hours to wind, so robots haven't beaten humans on speed for every product yet.

Encouragingly, Deloitte's 2026 outlook stresses that more than 81% of task hours in manufacturing are expected to remain human-driven ^[6], and that skills that are uniquely human—such as creativity, collaboration, critical thinking, adaptability, and emotional intelligence—will remain essential. Workers who learn to set up, monitor, and troubleshoot smart winding machines will likely find themselves in higher demand, not lower.