50
/100

SOC 49-3093

Tire Repairers and Changers

ElevatedFrey/Osborne: 70.0%

Risk Score

โš ๏ธ

50/100

Elevated

US Employment

๐Ÿ‘ฅ

106,620

Total workers

Median Wage

๐Ÿ’ฐ

$37K

$30K โ€“ $49K

Projected Growth

๐Ÿ“ˆ

+5.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Tire Repairers and Changers face a risk score of 50/100 โ€” 6 points above the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $37K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 50/100, Tire Repairers and Changers faces moderate automation pressure. While tasks like robotic inspection of hard-to-reach equipment are increasingly handled by AI, the role retains significant human elements. The 106,620 workers in this occupation should focus on strengthening skills in working in confined, elevated, or hazardous spaces and diagnosing novel equipment failures through physical inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Tire Repairers and Changers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Robotic inspection of hard-to-reach equipment

2

Augmented reality-guided remote diagnostics

3

AI parts inventory and supply chain optimization

4

Predictive maintenance AI reducing reactive repair needs

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Diagnosing novel equipment failures through physical inspection

โœ“

Adapting repairs to non-standard or legacy equipment

โœ“

Customer communication about technical issues

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Raise vehicles, using hydraulic jacks.

โ€ข

Remount wheels onto vehicles.

โ€ข

Unbolt and remove wheels from vehicles, using lug wrenches or other hand or power tools.

โ€ข

Place wheels on balancing machines to determine counterweights required to balance wheels.

โ€ข

Identify tire size and ply and inflate tires accordingly.

๐Ÿ’ป Technology Skills

โ€ข

Accounting software

โ€ข

Spreadsheet software

โ€ข

Electronic mail software

โ€ข

Word processing software

โ€ข

Project management software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Customer and Personal Service

โ€ข

Administration and Management

โ€ข

Sales and Marketing

โ€ข

English Language

๐Ÿ“Š vs National Average

Median Wage$37K
$-9K

National avg: $46K

Risk Score50/100
+6

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth5.7%
+2.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K65%
Electrical Power-Line Installers and Repairers28$93K74%
Supervisors of Installation, Maintenance, and Repair Workers33$78K79%