How over is it?

A mood ring wired to real instruments

AI exposure Transportation and material moving

Will AI replace cleaners of vehicles and equipment?

Cleaners of Vehicles and Equipment. US occupation 53-7061.

0.0%

of the time cleaners of vehicles and equipment spend on their work goes on tasks where AI is already being used to do that work.of cleaners of vehicles and equipment's working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for cleaners of vehicles and equipmentWhat cleaners of vehicles and equipment no longer do alone

O*NET lists 20 tasks for cleaners of vehicles and equipment. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

20 of the 20 tasks show no AI use at work in the data.

  • Apply paints, dyes, polishes, reconditioners, waxes, or masking materials to vehicles to preserve, protect, or restore color or condition.Core task
  • Clean and polish vehicle windows.Core task
  • Connect hoses or lines to pumps or other equipment.Core task
  • Drive vehicles to or from workshops or customers' workplaces or homes.Core task
  • Inspect parts, equipment, or vehicles for cleanliness, damage, and compliance with standards or regulations.Core task
  • Maintain inventories of supplies.Core task
Show the other 14
  • Mix cleaning solutions, abrasive compositions, or other compounds, according to formulas.Core task
  • Monitor operation of cleaning machines and stop machines or notify supervisors when malfunctions occur.Core task
  • Pre-soak or rinse machine parts, equipment, or vehicles by immersing objects in cleaning solutions or water, manually or using hoists.Core task
  • Press buttons to activate cleaning equipment or machines.Core task
  • Rinse objects and place them on drying racks or use cloth, squeegees, or air compressors to dry surfaces.Core task
  • Scrub, scrape, or spray machine parts, equipment, or vehicles, using scrapers, brushes, clothes, cleaners, disinfectants, insecticides, acid, abrasives, vacuums, or hoses.Core task
  • Sweep, shovel, or vacuum loose debris or salvageable scrap into containers and remove containers from work areas.Core task
  • Turn valves or disconnect hoses to eliminate water, cleaning solutions, or vapors from machinery or tanks.Core task
  • Turn valves or handles on equipment to regulate pressure or flow of water, air, steam, or abrasives from sprayer nozzles.Core task
  • Clean the plastic work inside cars, using paintbrushes.
  • Disassemble and reassemble machines or equipment or remove and reattach vehicle parts or trim, using hand tools.
  • Fit boot spoilers, side skirts, or mud flaps to cars.
  • Lubricate machinery, vehicles, or equipment or perform minor repairs or adjustments, using hand tools.
  • Transport materials, equipment, or supplies to or from work areas, using carts or hoists.

How that compares

Among the 44 transportation and material moving occupations, cleaners of vehicles and equipment rank 14. The group averages 0.6%, and its most exposed job is Passenger Attendants at 11.7%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Chemical Equipment Operators and Tenders 0.0%
  2. 346Chemical Plant and System Operators 0.0%
  3. 346Chiropractors 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.