AI Resilience Report forTire Builders

If you're a young person considering a career as a tire builder, here's the honest picture: many of the physical steps in tire building and retreading are being automated, but skilled humans are still needed to run the machines. A great real-world example is Michelin's TreadVision retread platform, which uses artificial intelligence, robotics and laser measurement to automate and standardize key steps in the retreading process. According to reporting from Transport Topics, Michelin says the technology tackles physically demanding tasks like repeatedly lifting heavy tires and reduces errors caused by fatigue or inconsistency during manual inspection ^[1].

At Continental's ContiLifeCycle retreading plant, this shift is already visible on the shop floor. Seven autonomous mobile robots have been transporting green tires around the plant since March 2025, freeing up employees for more skilled tasks such as machine setup and quality control. In the new hot-retreading workflow, a handling robot transfers the buffed tire carcass to the tire-building machine, where it is fitted with up to 18 kilograms of fresh rubber heated to about 100°C for the tread and sidewalls ^[2] — a task that lines up almost exactly with a tire builder's core job of applying semi-raw tread onto buffed casings.

Michelin's CEO recently told Modern Tire Dealer that the company is emphasizing innovation, including AI and automation, to enhance manufacturing processes like retreading with its TreadVision system ^[3].

Adoption is moving fast in tire plants, and there are a few big reasons. First, tire making is already highly automated because safety demands are strict. As one industry guide explains, the combination of chemical process complexity, precision assembly, and safety-critical quality requirements makes tire manufacturing one of the most automation-intensive industries in the world ^[4], which means adding AI to existing robots is a smaller leap than in less-automated fields.

Broader industry data backs this up: a PwC survey reported by Manufacturing Dive found that manufacturers expect the median share of operations using advanced technology to jump from 26% to 68% by 2030 ^[5].

Labor shortages and safety concerns are also pushing companies to invest. Repetitive lifting, hot rubber, and long shifts are tough on workers, so robots that handle those jobs are easier to justify. What could slow things down is cost — modern tire-building machines and vision systems are expensive — plus the need for skilled technicians who can program and maintain them.

The good news for young people: the humans running these smart machines are still very much in demand, and skills in mechanics, robotics, and quality control will keep you valuable as the shop floor evolves.