EXPOSED
Almost nothing here is text or screen work, so language AI barely touches the job — washing, waxing, vacuuming interiors, steam-cleaning heavy equipment and detailing wheel wells all require hands in awkward physical spaces. The real threat is old-fashioned mechanization: tunnel washes, automated undercarriage sprayers and self-service bays already absorb the high-volume exterior work, and AI-driven scheduling and payment kiosks strip out the attendant roles around them. What resists is interior detailing, paint correction, and cleaning irregular fleet and construction equipment, where every unit is shaped differently and machines can't reach.
Roughly flat across the period, with year-to-year wobble.
Median pay $25,800 → $35,830 +11.1% 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
+3.9% 410,100 → 426,200 on the projections basis
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +3.9% more of these jobs by 2034. Demand for the output is growing faster than the work is being automated away — the mechanism BLS gives for software developers, and the combination people most often misread as an error.
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.
~56,200 openings a year on average, including replacing people who leave.
WiperTalcerWasherCleanerFlusherScraperSteamerDetailerPlatemanPolisherSalvagerCar DryerCar WiperSimonizerBus WasherCan WasherCar CarderCar CooperCar WasherNet WasherPan WasherSoapstonerSterilizerTub Washer
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Reaching under a bulldozer track to steam off caked mud, extracting pet hair from seat seams and hand-polishing a clearcoat without burning through it are tasks no tunnel-wash gantry performs — 15 rather than 18 because the highest-volume part of the trade, exterior sedan washing, has already been mechanized for decades.
Hands-on in uncontrolled environments The work is done kneeling on wet concrete, in outdoor lots in July heat and January cold, handling pressure wands at 1,500+ PSI and solvent chemicals inside unventilated cabs — 17 rather than 20 only because a share of the workforce operates inside a fixed bay rather than roadside or on a job site.
No licence, no signature requirement No state licence gates vehicle washing; you can start Monday with no credential, and if a wand strips trim or a wheel-acid etches a rim the shop's insurance and the owner absorb it, not you.
Executes defined procedures on defined inputs Chemical selection, wash sequence and dry-time are set by the shop's SOP and product labels; the discretion is limited to spotting a scratch before you start and flagging it, not deciding what happens next.
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 (15/20 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 (1/20) is whether the law requires a licensed human to sign. Trust premium (4/20) is whether buyers specifically pay for a person. Judgment and accountability (3/20) 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 8 of this occupation's 40 points (20%).
Embodiment (17/20) 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.
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 54/100, still EXPOSED.
High-end detailing already sells the human: ceramic-coating and paint-correction warranties from brands like Gtechniq or XPEL are only honored when applied by a named accredited installer, so the buyer is paying for a specific person's hands. Expansion of installer-accreditation warranty models raises this.
Tunnel and automated-bay systems absorb the remaining volume exterior work, leaving the occupation defined by interior extraction, paint correction, odor/biohazard remediation and odd-shaped equipment — tasks no gantry reaches. This is a genuine two-tier job and the routine tier is already being stripped out.
Environmental permitting could bite harder: EPA/state stormwater rules (NPDES) plus local ordinances already require wash-water containment, and OSHA-regulated confined-space and respirator rules apply to tanker and rail-car interior cleaning. If mobile detailing operators are pushed into named-permit-holder or certified-technician regimes (as some California and Washington municipalities have moved toward), a specific human's certification is attached to each job.
Aviation and rail cleaning where the cleaner's inspection is part of the safety chain — biohazard and infectious-material decontamination protocols, or IATA/airline cabin release sign-offs — makes the worker the person who decides an asset is fit to return to service.
Growth in EV and ADAS fleets makes cleaning a sensor-aware task: manufacturer service bulletins (e.g. Tesla, Rivian) already restrict pressure washing near camera housings, radar and HV connectors, forcing hand work in confined, variable geometry rather than machine passes.
The limit. Even with all of these, the bulk of the 380k workforce is high-volume car wash and fleet labor where wages, turnover and mechanization set the ceiling; the licensed, warranty-backed detailing tier is a small minority of the SOC and cannot lift the occupation-level score far.
| New York-Newark-Jersey City, NY-NJ | 19,280 | $41,540 +16% |
| Los Angeles-Long Beach-Anaheim, CA | 15,950 | $37,540 +5% |
| Chicago-Naperville-Elgin, IL-IN | 12,030 | $36,580 +2% |
| Dallas-Fort Worth-Arlington, TX | 9,970 | $31,350 -13% |
| Houston-Pasadena-The Woodlands, TX | 9,020 | $29,650 -17% |
| Atlanta-Sandy Springs-Roswell, GA | 7,040 | $31,690 -12% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 6,880 | $34,310 -4% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 5,680 | $35,160 -2% |
| Grand Island, NE | 460 | $50,320 +40% |
| Decatur, IL | 150 | $49,370 +38% |
| St. Joseph, MO-KS | 430 | $49,140 +37% |
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 40. 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.