AI Resilience Report forShoe Machine Operators and Tenders

If you're worried about robots taking over shoe factories, here's the honest picture: automation in footwear is real and speeding up, but it's mostly changing how people work rather than eliminating every job overnight. Artificial intelligence is being increasingly adopted across the footwear industry, with applications ranging from optimising design and production to managing the supply chain and creating smart footwear. On the production side, AI is being widely used to enable tasks such as cutting, sewing and component assembly to be carried out more quickly and precisely, and it is also being increasingly used in quality control and manufacturing processes, enabling real-time adjustments to be made on the factory floor.

A widely reported example is On Running's new LightSpray plant in Busan, South Korea ^[1], where robots build shoe uppers without manual assembly, and the company says the site will scale spray-on shoe output roughly 30-fold ^[2]. Smaller players are doing similar things — a Nevada startup called Summitz Footwear runs three robotic arms with advanced automation to make sneakers in Henderson ^[3]. Longtime machinery makers are augmenting operators rather than replacing them: more than 1,700 ABB robots are in operation in DESMA systems globally, delivering consistent high quality, reduced exposure to hazardous materials for workers, and more sustainable use of materials with less waste.

Automation also enables factories to run around the clock with no loss in performance. Many of the specific tasks in your job description — adjusting stitching, testing machines, inspecting finished shoes — are exactly the kinds of things AI vision systems and smart controls are starting to handle automatically.

Adoption is moving faster than it used to, but it's uneven. On the "speed it up" side, labor is getting harder to find and more expensive: robotics in footwear is advanced because it must constantly adapt to natural products, which vary greatly, and to new fashion trends, with at least two collections released per year, and companies that do not invest in technology within a certain period of time will not be able to produce in Europe because they will not have the labour force to perform even the most basic operations. Trade analysts describe the OEM model relying on "thousand-person assembly lines" as collapsing, being replaced by "smart units" equipped with AI vision and autonomous path compensation ^[4], driven by rising global labor costs and new EU sustainability rules.

On the "slow it down" side, shoes are tricky — leather stretches, styles change constantly, and each new model can require reprogramming robots, which is why the same World Footwear panel noted that "putting robots to work making cars is child's play compared to robots making shoes". That means the operators who learn to program, supervise, and troubleshoot these machines are becoming more valuable, not less. Human judgment for quality checks, craft skills for premium and custom shoes, and mechanical know-how for maintenance are all still in demand — so leaning into tech training is a smart, hopeful next step.