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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
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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Learn more about how you can thrive in this position
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.
Read full analysisAnalysis of Current AI Resilience
Auto Body Repairer
Updated Quarterly • Last Update: 2/17/2026

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].

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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They fix and restore damaged cars by repairing dents, replacing parts, and making vehicles look like new again.
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
AI-generated estimates of task resilience over the next 3 years
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.
Remove damaged panels, and identify the family and properties of the plastic used on a vehicle.
Remove damaged sections of vehicles using metal-cutting guns, air grinders and wrenches, and install replacement parts using wrenches or welding equipment.
Position dolly blocks against surfaces of dented areas and beat opposite surfaces to remove dents, using hammers.
Remove upholstery, accessories, electrical window-and-seat-operating equipment, and trim to gain access to vehicle bodies and fenders.
Fit and secure windows, vinyl roofs, and metal trim to vehicle bodies, using caulking guns, adhesive brushes, and mallets.
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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