Gini Loh System Tools

AI Automation Index

Will AI Replace Cleaners of Vehicles and Equipment?

Task-level automation exposure for Cleaners of Vehicles and Equipment: 20 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

14% weighted task index

20 of 20 tasks scored

Median Salary

$35,830 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Very High

380,430 people hold this job — size, not growth

Projected 2025–35

+3.9% employment change

51,500 openings a year · BLS line item

Pay by state

BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$21,890 – $42,710

Highest medians

District of Columbia $42,710
Alaska $40,210
Washington $40,070
Colorado $39,610
Vermont $39,530

Lowest medians

Puerto Rico $21,890
Guam $21,980
Louisiana $27,600
Virgin Islands $28,290
Mississippi $28,640

State figures come from the 53-7061 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 14%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 84%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 0%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 0%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 19/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

20 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 5%

1 tasks

Medium exposure (≥ 35%) 5%

1 tasks

Low exposure (below 35%) 90%

18 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#4997 · Core · 5% automatable

Rinse objects and place them on drying racks or use cloth, squeegees, or air compressors to dry surfaces.

physical manipulation — Hands-on washing of vehicle surfaces and parts

Clean vehicles or vehicle components.
#5006 · Core · 10% automatable

Apply paints, dyes, polishes, reconditioners, waxes, or masking materials to vehicles to preserve, protect, or restore color or condition.

physical manipulation — Applying finishes requires hands-on coating work

Apply protective or decorative finishes to workpieces or products.
#4996 · Core · 5% automatable

Clean and polish vehicle windows.

physical manipulation — Hands-on washing of vehicle surfaces and parts

Clean vehicles or vehicle components.
#4998 · Core · 10% automatable

Drive vehicles to or from workshops or customers' workplaces or homes.

situated mobility — Driving passenger vehicles needs real-world control

Drive passenger vehicles.
#4993 · Core · 8% automatable

Scrub, scrape, or spray machine parts, equipment, or vehicles, using scrapers, brushes, clothes, cleaners, disinfectants, insecticides, acid, abrasives, vacuums, or hoses.

physical manipulation — Machinery cleaning requires hands-on work

Clean machinery or equipment. Clean vehicles or vehicle components.
#4992 · Core · 20% automatable

Inspect parts, equipment, or vehicles for cleanliness, damage, and compliance with standards or regulations.

visual inspection — Vehicle inspection is physical on-site work

Inspect motor vehicles.
#4994 · Core · 12% automatable

Mix cleaning solutions, abrasive compositions, or other compounds, according to formulas.

physical manipulation — Physical handling of substances in workspace

Mix substances or compounds needed for work activities.
#5005 · Core · 68% automatable

Maintain inventories of supplies.

decision support — Acquisition workflow aided; human commits resources

Acquire supplies or equipment.
#5000 · Core · 8% automatable

Pre-soak or rinse machine parts, equipment, or vehicles by immersing objects in cleaning solutions or water, manually or using hoists.

physical manipulation — Machinery cleaning requires hands-on work

Clean machinery or equipment. Clean vehicles or vehicle components.
#5007 · Core · 15% automatable

Turn valves or disconnect hoses to eliminate water, cleaning solutions, or vapors from machinery or tanks.

physical manipulation — Physical control of pumping equipment

Control pumps or pumping equipment.
#4999 · Core · 15% automatable

Turn valves or handles on equipment to regulate pressure or flow of water, air, steam, or abrasives from sprayer nozzles.

physical manipulation — Physical control of pumping equipment

Control pumps or pumping equipment.
#5008 · Core · 4% automatable

Sweep, shovel, or vacuum loose debris or salvageable scrap into containers and remove containers from work areas.

physical manipulation — Physical cleaning of facilities and work areas

Clean facilities or work areas. Remove debris or damaged materials. Shovel materials.
#5002 · Core · 45% automatable

Monitor operation of cleaning machines and stop machines or notify supervisors when malfunctions occur.

text generation — Reporting malfunctions is structured information relay

Monitor engine operation or functioning. Report vehicle or equipment malfunctions.
#4995 · Core · 15% automatable

Press buttons to activate cleaning equipment or machines.

physical manipulation — Hands-on control of industrial machinery in unstructured settings

Operate industrial equipment.
#5004 · Core · 10% automatable

Connect hoses or lines to pumps or other equipment.

physical manipulation — Connecting hoses requires physical fitting

Connect hoses to equipment or machinery.
#5011 · Supplemental · 5% automatable

Clean the plastic work inside cars, using paintbrushes.

physical manipulation — Hands-on washing of vehicle surfaces and parts

Clean vehicles or vehicle components.
#5003 · Supplemental · 5% automatable

Disassemble and reassemble machines or equipment or remove and reattach vehicle parts or trim, using hand tools.

physical manipulation — Installing parts requires hands-on mechanical work

Install parts, assemblies, or attachments in transportation or material handling equipment.
#5001 · Supplemental · 8% automatable

Lubricate machinery, vehicles, or equipment or perform minor repairs or adjustments, using hand tools.

physical manipulation — Physical vehicle maintenance work

Maintain vehicles in good working condition.
#5009 · Supplemental · 8% automatable

Transport materials, equipment, or supplies to or from work areas, using carts or hoists.

physical manipulation — Manual moving of materials and supplies

Move materials, equipment, or supplies.
#5012 · Supplemental · 5% automatable

Fit boot spoilers, side skirts, or mud flaps to cars.

physical manipulation — Installing parts requires hands-on mechanical work

Install parts, assemblies, or attachments in transportation or material handling equipment.
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Community Sentiment

Do you agree?

Do you agree with the AI automation risk score calculated for this occupation?

Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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