Medium AI Risk Average

Tire repairers and changers

SOC Code: 49-3093

Tire repairers and changers carries a 30% AI exposure score (Medium automation risk), with a median annual wage of $37,120 and +5.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 113,400 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
30% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+5.7%
2024–2034 (BLS)
+6,500 jobs
Median Annual Wage
$37,120
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

113,400
Employment 2024
119,900
Projected 2034
+5.7%
Change (%)
+6,500
Change (jobs)

Occupation Insight

Tire repairers and changers (SOC 49-3093) carries an AI exposure score of 30%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 113,400 workers in this occupation in 2024, and projects a +5.7% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $37,120, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Tire repairers and changers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Short-term on-the-job training

Top Tasks (O*NET)

  1. 1. Raise vehicles, using hydraulic jacks.
  2. 2. Remount wheels onto vehicles.
  3. 3. Unbolt and remove wheels from vehicles, using lug wrenches or other hand or power tools.
  4. 4. Place wheels on balancing machines to determine counterweights required to balance wheels.
  5. 5. Identify tire size and ply and inflate tires accordingly.
  6. 6. Replace valve stems and remove puncturing objects.
  7. 7. Hammer required counterweights onto rims of wheels.
  8. 8. Reassemble tires onto wheels.
  9. 9. Seal punctures in tubeless tires by inserting adhesive material and expanding rubber plugs into punctures, using hand tools.
  10. 10. Inspect tire casings for defects, such as holes or tears.

Key Skills Required

  • Active Listening
  • Speaking
  • Critical Thinking
  • Service Orientation
  • Time Management
  • Monitoring
  • Operations Monitoring
  • Troubleshooting
  • Repairing
  • Quality Control Analysis

Knowledge Areas

  • Mechanical
  • Customer and Personal Service
  • Administration and Management
  • Sales and Marketing
  • English Language
  • Public Safety and Security
  • Production and Processing
  • Transportation
  • Mathematics
  • Engineering and Technology

Frequently Asked Questions

Will AI replace Tire repairers and changers?

Tire repairers and changers has an AI exposure score of 30%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Tire repairers and changers?

According to BLS Employment Projections 2024-2034, Tire repairers and changers is projected to grow by 5.7% over the decade. Current employment stands at approximately 113,400 workers.

What skills are needed for Tire repairers and changers?

Key skills for Tire repairers and changers include Active Listening, Speaking, Critical Thinking, and others. Typical entry-level education is High school diploma or equivalent.

How much do Tire repairers and changers earn?

The median annual wage for Tire repairers and changers is $37,120, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Tire repairers and changers?

The typical entry-level education for Tire repairers and changers is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Short-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Tire repairers and changers?

Tire repairers and changers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.5
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Related

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial