Mostly Resilient

Last Update: 4/23/2026

Your role’s AI Resilience Score is

60.0%

Median Score

Meaningful human contribution

High

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

AI Resilience Report forAutomotive Body and Related Repairers

Automotive Body and Related Repairers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Automotive body repair is labeled as "Mostly Resilient" because the core tasks like pulling dents, welding, and aligning frames still require skilled human hands. While AI can help with planning and estimates, the hands-on nature of the work and the need for craftsmanship and problem-solving protect it from full automation.

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This role is mostly resilient

Automotive body repair is labeled as "Mostly Resilient" because the core tasks like pulling dents, welding, and aligning frames still require skilled human hands. While AI can help with planning and estimates, the hands-on nature of the work and the need for craftsmanship and problem-solving protect it from full automation.

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Analysis of Current AI Resilience

Auto Body Repairer

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

How is AI changing Auto Body Repairer jobs?

Today’s collision shops already use some smart tools, but almost all hands-on work is still done by people. For example, insurers and tech companies use AI programs to look at photos of a damaged car and suggest repair parts and costs [1]. But pulling dents, welding panels, clamping frames and other bodywork remain manual.

As one industry source notes, “we’re not quite at the point where robots will be completing welds on the shop floor” [2]. In practice, technicians still use hammers, clamps and alignment machines to fix pits and straighten frames. Some startups and researchers imagine future tools — like drive-through scanners that automatically measure damage [3] or robotic arms that push and pull out dents [3] — but these ideas are mostly in testing.

In summary, today’s AI in body shops helps with planning and estimates, while core repair tasks (dent removal, panel fitting, upholstery removal, etc.) still rely on skilled humans [2] [1].

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AI Adoption

How fast is AI adoption growing for Auto Body Repairer?

AI and robots could change body repair over time, but uptake will likely be gradual. Many shops are small businesses, so very expensive robots or large software systems are hard to buy. Technicians earn around $24.36/hour on average [4], so paying skilled workers is still cheaper than buying multi-million-dollar machines for one task.

At the same time, the collision industry actually has a talent shortage: experts say the U.S. will need around a million new auto and collision technicians in the next few years [5] [5]. This shortage makes shops eager for anything that saves time, but also means they value existing staff and training. Many customers also prefer dealing with a real person; one study found 34% of people want human contact rather than a fully automated service [1].

Regulations and safety standards (for example, following manufacturer repair guides) also favor human oversight. In short, shops see benefits in AI for things like faster estimates or parts ordering, but complex fixes still need people. The industry is watching technology closely, and while change may come slowly, human skills like problem-solving and craftsmanship will remain important [1] [4].

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More Career Info

Career: Automotive Body and Related Repairers

They fix and restore damaged cars by repairing dents, replacing parts, and making vehicles look like new again.

Employment & Wage Data

Median Wage

$51,680

Jobs (2024)

172,600

Growth (2024-34)

+1.6%

Annual Openings

14,600

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

95% ResilienceCore Task

Cut and tape plastic separating film to outside repair areas to avoid damaging surrounding surfaces during repair procedure and remove tape and wash surfaces after repairs are complete.

2

95% ResilienceCore Task

Remove damaged panels, and identify the family and properties of the plastic used on a vehicle.

3

94% ResilienceCore Task

Remove damaged sections of vehicles using metal-cutting guns, air grinders and wrenches, and install replacement parts using wrenches or welding equipment.

4

94% ResilienceCore Task

Position dolly blocks against surfaces of dented areas and beat opposite surfaces to remove dents, using hammers.

5

94% ResilienceCore Task

Remove upholstery, accessories, electrical window-and-seat-operating equipment, and trim to gain access to vehicle bodies and fenders.

6

94% ResilienceCore Task

Fit and secure windows, vinyl roofs, and metal trim to vehicle bodies, using caulking guns, adhesive brushes, and mallets.

7

93% ResilienceCore Task

Sand body areas to be painted and cover bumpers, windows, and trim with masking tape or paper to protect them from the paint.

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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