AI exposure by occupation, O*NET 53-7061.00

Will AI replace Cleaners of Vehicles and Equipment?

Cleaners of Vehicles and Equipment: AI does not yet handle any of the role's 20 tasks; most of the work is hands-on, and the part AI can address mostly needs a standard-tier model.

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Every task, scored

The 20 tasks O*NET 30.3 lists for Cleaners of Vehicles and Equipment, from most to least exposed. None reaches 60, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Inspect parts, equipment, or vehicles for cleanliness, damage, and compliance with standards or regulations. 20 Estimated Efficient 3.9
Maintain inventories of supplies. 20 Estimated Standard 3.7
Lubricate machinery, vehicles, or equipment or perform minor repairs or adjustments, using hand tools. 20 Estimated Efficient 3.5
Rinse objects and place them on drying racks or use cloth, squeegees, or air compressors to dry surfaces. 15 Estimated No tier 4.0
Apply paints, dyes, polishes, reconditioners, waxes, or masking materials to vehicles to preserve, protect, or restore color or condition. 15 Estimated No tier 4.0
Clean and polish vehicle windows. 15 Estimated No tier 3.9
Clean the plastic work inside cars, using paintbrushes. 15 Estimated No tier 3.9
Mix cleaning solutions, abrasive compositions, or other compounds, according to formulas. 15 Estimated No tier 3.7
Disassemble and reassemble machines or equipment or remove and reattach vehicle parts or trim, using hand tools. 15 Estimated No tier 3.7
Pre-soak or rinse machine parts, equipment, or vehicles by immersing objects in cleaning solutions or water, manually or using hoists. 15 Estimated No tier 3.7
Turn valves or disconnect hoses to eliminate water, cleaning solutions, or vapors from machinery or tanks. 15 Estimated No tier 3.6
Turn valves or handles on equipment to regulate pressure or flow of water, air, steam, or abrasives from sprayer nozzles. 15 Estimated No tier 3.6
Monitor operation of cleaning machines and stop machines or notify supervisors when malfunctions occur. 15 Estimated No tier 3.6
Press buttons to activate cleaning equipment or machines. 15 Estimated No tier 3.5
Connect hoses or lines to pumps or other equipment. 15 Estimated No tier 3.4
Transport materials, equipment, or supplies to or from work areas, using carts or hoists. 15 Estimated No tier 3.3
Fit boot spoilers, side skirts, or mud flaps to cars. 15 Estimated No tier 2.8
Scrub, scrape, or spray machine parts, equipment, or vehicles, using scrapers, brushes, clothes, cleaners, disinfectants, insecticides, acid, abrasives, vacuums, or hoses. 12 Estimated No tier 3.9
Sweep, shovel, or vacuum loose debris or salvageable scrap into containers and remove containers from work areas. 12 Estimated No tier 3.6
Drive vehicles to or from workshops or customers' workplaces or homes. 8 Estimated No tier 3.9

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 20 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 20 of 20. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 15% of the role's importance-weighted task work. 15% of the work is something AI can address at some tier, and 85% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
380,430
Median annual wage
$35,830
Middle half of earners
$30,420 to $41,040
Projected change, 2024 to 2034
+3.9%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Cleaners of Vehicles and Equipment and AI

Will AI replace Cleaners of Vehicles and Equipment?

Not on current evidence. None of the 20 tasks O*NET lists for this occupation reaches a task exposure of 60, the level at which JobRoute counts a task as handled by AI, and the role's importance-weighted exposure is 15 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears.

What is the AI exposure of Cleaners of Vehicles and Equipment?

15 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 20 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 20 are estimated from each task's O*NET work activity.

Which Cleaners of Vehicles and Equipment tasks can AI already do?

None reaches 60 yet. The most exposed task is: Inspect parts, equipment, or vehicles for cleanliness, damage, and compliance with standards or regulations, at 20 out of 100.

What AI model tier does this role need?

A standard-tier model or lower covers 15% of the role's importance-weighted task work, and 85% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Cleaners of Vehicles and Equipment, and what do they earn?

380,430 people in the United States, with a median annual wage of $35,830 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +3.9% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Cleaners of Vehicles and Equipment. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/cleaners-of-vehicles-and-equipment

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