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Automotive Body Repairers

Construction, Maintenance & Repairlowaugment
Projected change (est.): ~+2%
Median Wage (est.): ~$52,480
Employment (est.): ~139K

Overall Exposure

16

2025 vs 2023

Theoretical Exposure

30

What AI could do

Observed Exposure

9

What AI actually does

Automation Risk Score

11

Displacement risk

3-Year Outlook (2025 → 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

16→28
+12

2025 → 2028 (estimated)

Theoretical Exposure

30→42
+12

2025 → 2028 (estimated)

Observed Exposure

9→18
+9

2025 → 2028 (estimated)

Automation Risk

11→20
+9

2025 → 2028 (estimated)

Exposure Metrics (2023 - 2028)

Task Breakdown

Repair dents and damaged panels
8%β 0
Use computerized frame measurement
35%β 0.5
Estimate repair costs and timelines
55%β 0.5

About This Occupation

If you work as a Automotive Body Repairers, AI is augmenting your role. Risk 11/100, exposure 16%.

ISCO-08 classification

Unit group 7231ILO official

Motor Vehicle Mechanics and Repairers

Definition

ILO original text (English)

Motor vehicle mechanics and repairers fit, install, maintain, service and repair engines and the mechanical and related equipment of passenger cars, delivery trucks, motorcycles and other motor vehicles.

Definition & vocabulary source

Source: International Labour Organization (ILO) — ISCO-08 Structure

License: ILO CC BY 4.0

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Official occupational information

  • ONET49-3021.00

    Automotive Body and Related Repairers

    Repair and refinish automotive vehicle bodies and straighten vehicle frames.

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  • ONET49-3023.00

    Automotive Service Technicians and Mechanics

    Diagnose, adjust, repair, or overhaul automotive vehicles.

    View original
  • ONET49-3031.00

    Bus and Truck Mechanics and Diesel Engine Specialists

    Diagnose, adjust, repair, or overhaul buses and trucks, or maintain and repair any type of diesel engines. Includes mechanics working primarily with automobile or marine diesel engines.

    View original

Source: O*NET 30.2, U.S. DOL/ETA

License: CC BY 4.0

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Frequently Asked Questions

With an automation risk score of 11%, Automotive Body Repairers has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.

Our estimated AI automation risk score for Automotive Body Repairers is 11% for 2025. Estimated overall AI exposure is 16%, with 30% theoretical exposure and 9% observed exposure. The estimated risk trend from 2023 to 2025 is 0 points. All of these are model-generated estimates, not measurements.

The tasks with the highest automation potential for Automotive Body Repairers are: Estimate repair costs and timelines (55%), Use computerized frame measurement (35%), Repair dents and damaged panels (8%). These rates are our own estimates of how much of each task current AI systems can handle. They are not measurements and are not taken from any external dataset.

We estimate a +2% employment change for Automotive Body Repairers between 2024 and 2034. This is our own estimate, not a figure published by the U.S. Bureau of Labor Statistics. Combined with an estimated overall AI exposure of 16%, this occupation faces both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Automotive Body Repairers should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.