← Risk register SOC 53-7061 · reviewed 2026-08-11

Cleaners of Vehicles and Equipment

380,430 US workers · median $35,830/yr · Transportation

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.

10-year outlook: Employment holds up in interior detailing and mobile/fleet work but keeps thinning at fixed-site washes as automated tunnels and self-service bays expand, with wages staying low unless you sell a specialty service.

Score — 40/100 resistance

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 15 + 17 + 1 + 4 + 3 = 40.

Task resistance 15/20

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.

Embodiment 17/20

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.

Liability shield 1/20

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.

Trust premium 4/20

Anonymous artifact production. Fleet contracts and dealership prep work are awarded on price and turnaround time by a manager who never learns the washer's name, though a small tier of independent high-end detailers does build a repeat client book on reputation — that minority is what keeps this off the floor.

Judgment & accountability 3/20

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.

Confidence: high · reviewed 2026-08-11 · how scoring works

Tasks already automatable

What survives

Active moats: embodiment, physical-presence

How to future-proof this job

Training paths for your skill gaps: Structured problem solving partner link

Escape hatches — adjacent fields with better verdicts

Computed from U.S. Dept. of Labor O*NET skill profiles: high overlap with what you already do, materially higher resistance score.

Tree Trimmers and Pruners SAFE · 70/100 · you already have ~68% of the skill profile

Skills to close: Complex Problem Solving, Critical Thinking, Instructing, Coordination

Field report — do you do this job?

Has AI actually changed your work?

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

From people who do this job

Nobody has filed one yet. If you do this work, you know things the rubric can't see.

What has actually changed in your work?

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.