Mostly Resilient

Last Update: 10/7/2026

AI Resilience Score for Vehicle/Equipment Cleaner:

53.0%

Median Score

Meaningful human contribution

High

Long-term employer demand

High

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Methodology and Scoring Rationale

To score how resilient vehicle and equipment cleaning is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For vehicle and equipment cleaning, seven of eight sources had data (only Anthropic was missing). Most agreed: AI Resilience Model, Microsoft, and OpenAI Signals all saw the hands-on physical work staying human, though Will Robots Take My Job flagged some automation risk, giving this role medium confidence. Strong demand keeps the score up, but low pay and mobility pull it down, landing here at "Mostly Resilient."

AI Resilience Report forCleaners of Vehicles and Equipment

$35,830 median salary•51,500 annual openings•SOC Code: 53-7061.00

Cleaners of Vehicles and Equipment are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.

Cleaning vehicles and equipment is labeled "Mostly Resilient" because the hands-on work, like scrubbing, waxing, and spotting missed details, still genuinely needs a human touch that robots and AI cannot fully replicate yet. AI is being adopted fast on the business side (things like scheduling, marketing, and security cameras), but the actual physical cleaning work remains yours to own.

Learn more about how you can thrive in this position

This role is mostly resilient

Cleaning vehicles and equipment is labeled "Mostly Resilient" because the hands-on work, like scrubbing, waxing, and spotting missed details, still genuinely needs a human touch that robots and AI cannot fully replicate yet. AI is being adopted fast on the business side (things like scheduling, marketing, and security cameras), but the actual physical cleaning work remains yours to own.

Read full analysis

Analysis of current AI resilience

Vehicle/Equipment Cleaner

Updated quarterly

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How can Vehicle/Equipment Cleaner prepare for AI?

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Latest AI news for Vehicle/Equipment Cleaner

These articles highlight how AI is reshaping the landscape for Cleaners of Vehicles and Equipment. For example, the piece on AI's impact in China shows that while some jobs may be marginalized, it emphasizes the importance of skills like problem-solving and communication, which remain valuable in an AI-driven world. The article about AI transforming the janitorial industry reveals that automation can lead to better working conditions, enhancing job satisfaction. Embracing these changes can help students develop AI resilience, ensuring they thrive in an evolving job market.

More Career Info

Career: Cleaners of Vehicles and Equipment

They clean and maintain vehicles and equipment by washing, polishing, and checking for damage to keep them in good condition and ready for use.

Employment & Wage Data

Median Wage

$35,830

Jobs (2025)

419,500

Growth (2025-35)

+3.9%

Annual Openings

51,500

Education

No formal educational credential

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

90% ResilienceSupplemental

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

2

88% ResilienceSupplemental

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

3

86% ResilienceSupplemental

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

4

85% ResilienceCore Task

Connect hoses or lines to pumps or other equipment.

5

84% ResilienceSupplemental

Clean the plastic work inside cars, using paintbrushes.

6

82% ResilienceCore Task

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

7

82% ResilienceCore Task

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

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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