Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
They fix and restore damaged cars by repairing dents, replacing parts, and making vehicles look like new again.
This role is stable
The career of Automotive Body and Related Repairers is considered "Stable" because most of the hands-on work, like pulling dents and welding, still relies heavily on human skills and craftsmanship. While AI helps with planning and estimating costs, the complex repair tasks require the expertise and problem-solving abilities that only skilled technicians can provide.
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Learn more about how you can thrive in this position
This role is stable
The career of Automotive Body and Related Repairers is considered "Stable" because most of the hands-on work, like pulling dents and welding, still relies heavily on human skills and craftsmanship. While AI helps with planning and estimating costs, the complex repair tasks require the expertise and problem-solving abilities that only skilled technicians can provide.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Auto Body Repairer
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
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 in the real world
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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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
Chain or clamp frames and sections to alignment machines that use hydraulic pressure to align damaged components.
Remove damaged panels, and identify the family and properties of the plastic used on a vehicle.
Remove upholstery, accessories, electrical window-and-seat-operating equipment, and trim to gain access to vehicle bodies and fenders.
Cut openings in vehicle bodies for the installation of customized windows, using templates and power shears or chisels.
File, grind, sand, and smooth filled or repaired surfaces, using power tools and hand tools.
Fit and weld replacement parts into place, using wrenches and welding equipment, and grind down welds to smooth them, using power grinders and other tools.
Clean work areas, using air hoses, to remove damaged material and discarded fiberglass strips used in repair procedures.
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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