Will AI replace Cleaners of Vehicles and Equipment?
Transportation and Material Moving · O*NET 53-7061.00
Task exposure index for this occupation
Averaged across the week, this work sits at the low end of the exposure scale — most of it is not the kind current systems do well. O*NET breaks Cleaners of Vehicles and Equipment into 18 distinct work activities. Weighted by how much of the week each one takes, 0% of the job sits at or above the threshold where current systems can do the task end to end. The single largest contributor is "Control pumps or pumping equipment", which scores 30 and takes roughly 10% of the week. That is the average for the job title. It is not a measurement of any particular person’s week, and the difference between the two is usually larger than the difference between job titles.
Model v1.2 · activity indices last updated 18 August 2026
What this occupation does
Wash or otherwise clean vehicles, machinery, and other equipment. Use such materials as water, cleaning agents, brushes, cloths, and hoses.
The most exposed parts of the job
Scored 0–100 on how completely a current system could perform the activity.
- Monitor engine operation or functioning.52
About 2% of a typical week
- Acquire supplies or equipment.52
About 5% of a typical week
- Report vehicle or equipment malfunctions.40
About 2% of a typical week
- Inspect motor vehicles.34
About 7% of a typical week
- Control pumps or pumping equipment.30
About 10% of a typical week
The least exposed parts
The same scale. These are the activities current systems handle worst.
- Install parts, assemblies, or attachments in transportation or material handling equipment.5
About 4% of a typical week
- Clean facilities or work areas.5
About 2% of a typical week
- Clean vehicles or vehicle components.5
About 24% of a typical week
- Clean machinery or equipment.5
About 6% of a typical week
- Move materials, equipment, or supplies.14
About 4% of a typical week
How far off the rest is
Of those 18 activities, 0 can be performed by systems available today and 15 are outside what current approaches do at all. The remaining 3 sit in between — demonstrated in research or in narrow products, but not something you can hand over whole. We do not put dates on that middle group, because nobody can.
Compared with similar occupations
The nearest scoring roles in Transportation and Material Moving.
- Cleaners of Vehicles and Equipment (this page)18
- Ambulance Drivers and Attendants, Except Emergency Medical Technicians18
- Industrial Truck and Tractor Operators17
- Hoist and Winch Operators20
Why your own number is different
Two people with the title "Cleaners of Vehicles and Equipment" can spend their weeks on almost entirely different parts of this list, and the parts they choose move the number far more than the title does. Who signs off when the work is wrong, whether the job needs you physically present, and how fast you have picked up the tools all change it again — and none of that is in an occupation average.
The assessment asks you to divide your own week across these activities and answer fourteen questions about the parts of the job an occupation average cannot see. It takes six to nine minutes.
Score my own roleFree to take. The full report is a paid subscription — the price and its terms are on the pricing section, before you start.
Questions
Will AI replace Cleaners of Vehicles and Equipment?
We do not answer that, because nobody can. What is measurable is how much of the work is already doable by machine: for Cleaners of Vehicles and Equipment, about 0% of a typical week, across 18 activities. The other 100% is not, and what happens to the job depends on things this index does not contain — cost, regulation, who carries the liability, and what the people doing it decide to do next.
What part of this job is most exposed?
"Monitor engine operation or functioning" — it scores 52 out of 100 on task automatability and takes roughly 2% of the week.
What part is least exposed?
"Install parts, assemblies, or attachments in transportation or material handling equipment", at 5 out of 100. Work like that is where the hours you protect tend to be worth the most.
Where do these numbers come from?
The activity list and the time weights come from O*NET 30.3, the US Department of Labor's occupational database. The exposure score for each activity is ours, from a published model — the weights, the priors and the limitations are all on the methodology page. No language model is involved in the arithmetic.
Does this apply to my job?
Only roughly. This is the average for the title, and the number that matters is the one for the week you actually work. The assessment asks you to divide your own time across these activities and answer fourteen questions about accountability, the parts of the job that need you specifically, and how fast you have adapted. That produces a different number, and usually a more useful one.
The full model — the weights, the priors and what it cannot see — is on the methodology page.