Tire Builders
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Operate machines to build tires.
The occupation "Tire Builders" has an automation risk of 34.6%, which closely aligns with its base risk of 35.0%. This relatively moderate risk reflects a balance between tasks that can be easily automated and those requiring nuanced human involvement. The process of building and retreading tires incorporates both mechanizable steps and components that still demand a level of manual dexterity, spatial awareness, and adaptability that current automated systems find challenging. As tire manufacturing and retreading become more technologically advanced, partial automation is feasible, especially for routine and repetitive processes. However, the nature of some subtasks within the occupation ensures that full automation remains limited in the near term. The top three most automatable tasks for tire builders include building semi-raw rubber treads onto buffed tire casings to prepare for vulcanization, trimming excess rubber and imperfections during retreading, and filling cuts and holes in tires using hot rubber. These steps involve precision tasks that, while requiring attention to detail, follow predictable, standardized procedures. Automation technologies such as robotics, conveyor systems, and machine vision are well-suited for executing these actions repeatedly and consistently, improving throughput and quality control. As a result, these aspects of tire building face the highest risk of being replaced by future automation solutions. Conversely, the most resistant tasks involve actions such as pulling and aligning plies from supply racks, winding chafers and breakers onto plies, and operating pedal mechanisms to collapse drums. These activities often require adaptability, careful handling of materials, and a fine sense of timing and placement, which are difficult to replicate with machines. The bottleneck skill identified—originality at a low level (2.0%)—indicates that the creativity and adaptive reasoning required are present, but only to a limited extent. While these tasks are not highly creative, they nonetheless involve enough variability and manual finesse to resist replacement by current automation technologies, thus lowering the overall risk of automation for this occupation.