π‘ Tire Builders have a composite risk score of 55/100 (Frey-Osborne probability: 94%, GenAI exposure: 10/100). With 20,970 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Possible. Significant task automation is underway β workers should actively upskill.
With 20,970 workers and a median wage of $56K,tire builders represent a significant portion of the US workforce. Their GenAI exposure index is 10%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
55/100
Employment
20,970
Median Wage
$56K
GenAI Exposure
10%
β οΈ Top Risk Factors
Automated CNC programming and machine operation
Predictive maintenance reducing manual inspection roles
Cobots handling repetitive material handling tasks
Smart factory scheduling and production optimization
π‘οΈ Tasks AI Can't Easily Replace
Troubleshooting complex equipment malfunctions
Quality judgment requiring tactile and visual inspection
Handling non-standard materials and configurations
Coordinating workflow across diverse production teams
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
55% skills overlap Β· $106K median wage
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors
65% skills overlap Β· $62K median wage
Fabric and Apparel Patternmakers
74% skills overlap Β· $68K median wage
β Frequently Asked Questions
Will AI completely replace tire builders?
Possible. Significant task automation is underway β workers should actively upskill.
What is the AI risk score for tire builders?
Tire Builders have a composite AI automation risk score of 55 out of 100, classified as "Elevated".
How many tire builders are there in the US?
There are approximately 20,970 tire builders employed in the United States.
What do tire builders earn?
The median annual wage for tire builders is $56K.
What skills should tire builders develop?
Focus on tasks AI can't easily replicate: troubleshooting complex equipment malfunctions, quality judgment requiring tactile and visual inspection, handling non-standard materials and configurations, coordinating workflow across diverse production teams. These human-centric skills will become more valuable as routine tasks are automated.