Cleaners of Vehicles and Equipment

Transportation & Material Moving

AI exposure

  • Data source: BLSPublished: 2026-08

    Low· relative

    LowFour relative bandsVery high

    Group-level value

    Scale, basis and source

    Four relative bands (Low / Moderate / High / Very high)

    831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.000

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: 2025

    0.09

    0.09Range of values carried here0.70

    Group-level value

    Scale, basis and source

    Generative AI exposure index, 0–1 as published

    ISCO-08 unit group — every occupation sharing the code gets this value

    Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 100% score at or above this value.

    Source dataset

What kind of figure this source publishes

The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.

Task-level exposure

Exposed tasks only
TaskClaude.aiRaw / share %
Collect and test samples of cleaning solutions or vapors.

53-7061

0.0025100.0
Not observed on any surface — 20 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states.
Inspect parts, equipment, or vehicles for cleanliness, damage, and compliance with standards or regulations.
—0
Scrub, scrape, or spray machine parts, equipment, or vehicles, using scrapers, brushes, clothes, cleaners, disinfectants, insecticides, acid, abrasives, vacuums, or hoses.
—0
Mix cleaning solutions, abrasive compositions, or other compounds, according to formulas.
—0
Press buttons to activate cleaning equipment or machines.
—0
Clean and polish vehicle windows.
—0
Rinse objects and place them on drying racks or use cloth, squeegees, or air compressors to dry surfaces.
—0
Turn valves or handles on equipment to regulate pressure or flow of water, air, steam, or abrasives from sprayer nozzles.
—0
Monitor operation of cleaning machines and stop machines or notify supervisors when malfunctions occur.
—0
Disassemble and reassemble machines or equipment or remove and reattach vehicle parts or trim, using hand tools.
—0
Maintain inventories of supplies.
—0
Apply paints, dyes, polishes, reconditioners, waxes, or masking materials to vehicles to preserve, protect, or restore color or condition.
—0
Turn valves or disconnect hoses to eliminate water, cleaning solutions, or vapors from machinery or tanks.
—0
Sweep, shovel, or vacuum loose debris or salvageable scrap into containers and remove containers from work areas.
—0
Drive vehicles to or from workshops or customers' workplaces or homes.
—0
Pre-soak or rinse machine parts, equipment, or vehicles by immersing objects in cleaning solutions or water, manually or using hoists.
—0
Lubricate machinery, vehicles, or equipment or perform minor repairs or adjustments, using hand tools.
—0
Connect hoses or lines to pumps or other equipment.
—0
Transport materials, equipment, or supplies to or from work areas, using carts or hoists.
—0
Clean the plastic work inside cars, using paintbrushes.
—0
Fit boot spoilers, side skirts, or mud flaps to cars.
—0

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

Occupation information