EXPOSED
Pulling dents, replacing quarter panels, welding and riveting mixed-material structures, blending paint under a booth light — none of that is text or screen work, and no robot on the market can do it on a uniquely crumpled car. What AI is already eating is the paperwork half of the job: photo-based damage estimating, insurance claim documentation, parts ordering, and repair-time calculation. The modal worker survives on hands; the estimator-heavy tier of this occupation is the part under real pressure.
Roughly flat across the period, with year-to-year wobble.
Median pay $43,580 → $54,890 +0.8% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+1.6%
Percentage only. The projection counts a different population from the 149,310 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Growing, and only partly exposed
The BLS expects +1.6% more of these jobs by 2034, and at 65/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~14,600 openings a year on average, including replacing people who leave.
Body ManFrame ManBody SanderBody WorkerMetal BumperMetal WorkerPanel BeaterAuto Body ManBody MechanicFender WorkerLeak RepairerTrim MechanicAuto RebuilderCar CustomizerCar RefinisherAuto RefinisherBody SpecialistFender MechanicFender RepairerRattle RepairerShop TechnicianSqueak RepairerAuto Body WorkerBody Shop Worker
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Sectioning a rail to OEM position, straightening a unibody on a pull frame with tram gauges, squeeze-type resistance spot welding boron steel, and hand-blending a three-stage pearl into a half-panel are all one-off jobs on a car crumpled in a way no other car ever was — hence 17 rather than a full 20, since the estimating, blueprinting and parts-sourcing side of your day is already being done off a phone photo.
Hands-on in uncontrolled environments You work inside the wreck: kneeling in a floorpan, reaching behind an apron with a stud welder, sanding overhead, moving between the frame rack, the welding bay and a downdraft booth in a respirator — 19 because there is essentially no part of the repair itself that happens sitting down.
Certification preferred, not legally required No state licenses body repairers; I-CAR Platinum, ASE B2-B5 and OEM certifications (Honda, Ford aluminum, GM) get the shop on a direct-repair or certified-collision list and can be contractually required for structural welds, but the comeback and the liability land on the shop's garage-keepers policy, not on a personal license you could lose.
Meaningful discretion Deciding repair-versus-replace on a rail, whether a pull has work-hardened metal past safe limits, and reading the OEM procedure that forbids heat on UHSS are calls that decide whether the car crushes correctly in the next collision — 13 rather than higher because those calls are increasingly constrained by written OEM repair procedures and insurer approval on the estimate.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (17/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (6/20) is whether the law requires a licensed human to sign. Trust premium (10/20) is whether buyers specifically pay for a person. Judgment and accountability (13/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 29 of this occupation's 65 points (45%).
Embodiment (19/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
No occupation passed every test: close enough to automotive body and related repairers on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.
The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.
Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:
That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 79/100 — SAFE.
Repair-vs-replace and total-loss calls on high-strength steel, aluminum and carbon structures already sit with the technician against an AI photo estimate; if OEM position statements (Honda, Toyota, Ford already publish sectioning restrictions) become contractually binding on shops, the technician who overrides an AI estimate owns the call and its consequences explicitly.
Task-mix shift: if photo-estimating and claim documentation are fully automated, the residual job is the non-routine tier — disassembly-based discovery of hidden damage, mixed-material joining decisions, and EV battery-pack damage assessment (high-voltage disable/inspection now requires specific training and is not photo-assessable). The estimator tier shrinking raises the average resistance of what remains, without any new law.
ADAS calibration and structural repair documentation becoming a legally attributable sign-off: several states and insurers already reference OEM repair procedures as the standard of care, and I-CAR/ASE certification is increasingly named in insurer DRP contracts. A state statute or board rule requiring a named certified technician to certify that ADAS sensor recalibration and structural welds on a repaired vehicle meet OEM spec — with personal exposure in a subsequent-crash suit — would move this materially. Watch: post-repair inspection statutes, Seebachan v. John Eagle Collision-style verdicts spreading, and Right-to-Appraisal/OEM-procedure bills in TX, LA, RI.
Narrow route only: OEM-certified collision networks (Tesla, Rivian, Porsche, Mercedes approved-shop lists) let some shops charge for certified human work, and consumer steering-protection laws let owners pick the shop. This attaches to the shop brand more than the individual repairer, so the premium is thin and partly captured by the employer.
The limit. Embodiment is already near maximum and cannot rise further; the exposure here is concentrated in the estimating/paperwork tier, so the realistic ceiling is roughly the mid-70s and comes almost entirely from liability and sign-off rules around ADAS and structural certification, not from any change in what machines can physically do.
| New York-Newark-Jersey City, NY-NJ | 8,150 | $57,920 +6% |
| Chicago-Naperville-Elgin, IL-IN | 4,450 | $52,040 -5% |
| Los Angeles-Long Beach-Anaheim, CA | 4,270 | $67,090 +22% |
| Dallas-Fort Worth-Arlington, TX | 4,080 | $57,280 +4% |
| Houston-Pasadena-The Woodlands, TX | 3,410 | $56,060 +2% |
| Atlanta-Sandy Springs-Roswell, GA | 2,690 | $55,690 +1% |
| San Francisco-Oakland-Fremont, CA | 2,680 | $76,740 +40% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 2,660 | $59,000 +7% |
| Hinesville, GA | 30 | $81,790 +49% |
| Santa Rosa-Petaluma, CA | 260 | $78,060 +42% |
| San Jose-Sunnyvale-Santa Clara, CA | 610 | $76,800 +40% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 65. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.