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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
Tire Builders are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Tire building is "Somewhat Resilient" because while robots and AI are starting to take over repetitive tasks like moving tires around the factory floor, the hands-on, skilled work of actually building tires still requires human judgment and dexterity that machines can't fully replicate yet. The tricky nature of working with sticky rubber, different tire sizes, and tight safety standards makes full automation genuinely difficult — so humans aren't disappearing from this field anytime soon.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
Tire building is "Somewhat Resilient" because while robots and AI are starting to take over repetitive tasks like moving tires around the factory floor, the hands-on, skilled work of actually building tires still requires human judgment and dexterity that machines can't fully replicate yet. The tricky nature of working with sticky rubber, different tire sizes, and tight safety standards makes full automation genuinely difficult — so humans aren't disappearing from this field anytime soon.
Read full analysisAnalysis of Current AI Resilience
Tire Builders
Updated Quarterly • Last Update: 5/14/2026

If you're worried about robots replacing tire builders overnight — take a breath. The reality is that AI and robotics are slowly helping tire workers rather than wholesale replacing them. At Continental's plant in Hanover-Stöcken, seven autonomous mobile robots have been moving green tires across the facility since March 2025 [1], using sensors, 360-degree cameras and AI-based control.
According to coverage of the rollout, these robots take over repetitive transport tasks "allowing workers to focus on skilled activities such as machine setup and quality control" [2]. At industry-wide level, experts at Tire Technology International 2026 predict tire manufacturing "could use much less manual labor by 2040," [3] though fully autonomous "dark factories" remain a long-term goal. Tire makers are also using AI in design — for example, Bridgestone is strengthening AI tire development capacities with a driver-in-the-loop simulator [4].
For now, the drum-winding, pedal-pressing core of tire building is still mostly human, supplemented by smart logistics and AI quality inspection.

Adoption is accelerating but uneven. A recent Deloitte survey of 3,200 global business leaders found 58% already use "physical AI" in operations, with 80% planning to within two years [5]. Drivers include chronic labor shortages, ergonomic concerns (tires are heavy!), and falling robot prices.
But MIT Sloan notes that manufacturing AI projects tend to be "more individualized, with lower returns, and thus are more difficult to fund and execute" [6] than in other industries. Tire building specifically involves sticky rubber, varied sizes, and tight safety tolerances — and as a Rubber News editorial observed, AI is "inching its way" into tire technology with the future still unclear [7]. Human judgment for setup, troubleshooting and quality calls remains valuable, so skilled tire builders who learn to work alongside robots and read AI dashboards will be in strong demand for years to come.

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They create and assemble tires by cutting and shaping rubber, ensuring each tire is strong and ready for vehicles.
Median Wage
$55,580
Jobs (2024)
20,900
Growth (2024-34)
+2.3%
Annual Openings
2,500
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Measure tires to determine mold size requirements.
Clean and paint completed tires.
Roll camelbacks onto casings by hand, and cut camelbacks, using knives.
Wind chafers and breakers onto plies.
Brush or spray solvents onto plies to ensure adhesion, and repeat process as specified, alternating direction of each ply to strengthen tires.
Build semi-raw rubber treads onto buffed tire casings to prepare tires for vulcanization in recapping or retreading processes.
Place tires into molds for new tread.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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