Automotive Body and Related Repairers
Automotive Body and Related Repairers — AI exposure, safer roles, and a pivot plan.
Also known as: Auto Body Man · Auto Body Detailer · Auto Body Mechanic · Auto Body Repairer · Auto Body Repairman · Auto Body Customizer
This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.
Most exposed tasks
Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.
No strongly automatable task in the current data release.
Augmentable tasks
Work where AI assists rather than replaces — the productivity frontier of this role.
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File, grind, sand, and smooth filled or repaired surfaces, using power tools and hand tools.38
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Chain or clamp frames and sections to alignment machines that use hydraulic pressure to align damaged components.36
Most durable tasks
Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.
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Replace damaged glass on vehicles.18
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Inspect repaired vehicles for proper functioning, completion of work, dimensional accuracy, and overall appearance of paint job, and test-drive vehicles to ensure proper alignment and handling.20
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Remove damaged panels, and identify the family and properties of the plastic used on a vehicle.23
Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.
What this means
A score of 28 puts Automotive Body and Related Repairers in the least-exposed quarter of analyzed occupations. In practice, exposure this level is about the mix: 0 of 20 analyzed tasks lean automatable, 2 augmentable, and 18 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.
One next move: lean into the durable core above and adopt AI on the routine remainder before it becomes a mandate.
Lower-exposure adjacent roles
No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.
Labor-market context
- $54,890median wage
- 149,310employed
- 14,600annual openings
- +1.6%projected growth
Context only — labor statistics are not inputs to the exposure score. See methodology.
Your week probably doesn’t match the average
This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.
Personalize my result — $9Related roles
Adjacent by skills or family — no exposure claim implied.
FAQ — Automotive Body and Related Repairers
- What does a score of 28 mean for a Automotive Body and Related Repairers?
- It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 28 on a 0–100 exposure scale — in the least-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
- Which tasks in this role are most exposed to AI?
- This role has no strongly automatable task in the current data release.
- Which parts of this job are most durable?
- The most durable responsibilities are: Replace damaged glass on vehicles; Inspect repaired vehicles for proper functioning, completion of work, dimensional accuracy, and overall appearance of paint job, and test-drive vehicles to ensure proper alignment and handling; Remove damaged panels, and identify the family and properties of the plastic used on a vehicle. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
- Is this score personalized to me?
- No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.
Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology