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Laundry and Dry-Cleaning Workers vs Cleaners of Vehicles and Equipment

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Laundry and Dry-Cleaning Workers and Cleaners of Vehicles and Equipment on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

Laundry and Dry-Cleaning Workers Cleaners of Vehicles and Equipment
Median pay · BLS OEWS
$33,800
$35,270
Employment · BLS OEWS
195,360
373,960
AI exposure (percentile) · task overlap, not automation
9th pct
7th pct

At a glance

Dimension Laundry and Dry-Cleaning Workers Cleaners of Vehicles and Equipment
Median pay $33,800 $35,270
Employment 195,360 373,960
Employment outlook (2024–34) · BLS projection About average (+5.4%) About average (+3.9%)
Annual openings · BLS projection 31,900 56,200
Typical education · O*NET Usually requires a high school diploma or GED, though some occupations may not. Usually requires a high school diploma or GED, though some occupations may not.
AI exposure · published exposure studies Low · 9th pct Low · 7th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 19th pct · 16% of tasks 3rd pct · 10% of tasks
Observed AI use · Anthropic Economic Index
Mostly remote-capable · Dingel–Neiman No No

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Shared: Arm-Hand Steadiness, Customer and Personal Service, Production and Processing, Active Listening, Monitoring, Oral Comprehension, Oral Expression, Manual Dexterity, Control Precision, Near Vision, Speech Recognition, English Language, Public Safety and Security, Speaking, Operations Monitoring, Time Management, Problem Sensitivity, Information Ordering, Finger Dexterity, Multilimb Coordination, Trunk Strength, Speech Clarity, Mathematics, Operation and Control, Deductive Reasoning, Inductive Reasoning, Category Flexibility, Administration and Management, Chemistry, Service Orientation.

Specific to Laundry and Dry-Cleaning Workers

  • Social Perceptiveness
  • Reading Comprehension
  • Critical Thinking
  • Judgment and Decision Making
  • Written Comprehension
  • Selective Attention
  • Visual Color Discrimination
  • Active Learning

Specific to Cleaners of Vehicles and Equipment

  • Extent Flexibility
  • Transportation
  • Quality Control Analysis
  • Stamina
  • Gross Body Coordination
  • Mechanical
  • Education and Training
  • Personnel and Human Resources

Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

Tools & technology

Shared: Operating system software , Data base user interface and query software .

Full profiles

This page is a summary. See the complete source-backed profile for Laundry and Dry-Cleaning Workers or Cleaners of Vehicles and Equipment — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

More comparisons

Related occupations you can place side by side on the same sourced scale.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Laundry and Dry-Cleaning Workers vs Cleaners of Vehicles and Equipment." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/laundry-and-dry-cleaning-workers-vs-cleaners-of-vehicles-and-equipment

APA

Singulariki. (2026). Laundry and Dry-Cleaning Workers vs Cleaners of Vehicles and Equipment. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/laundry-and-dry-cleaning-workers-vs-cleaners-of-vehicles-and-equipment

BibTeX
@misc{singulariki-laundry-and-dry-cleaning-workers-vs-cleaners-of-vehicles-and-equipment,
  title  = {Laundry and Dry-Cleaning Workers vs Cleaners of Vehicles and Equipment},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/laundry-and-dry-cleaning-workers-vs-cleaners-of-vehicles-and-equipment}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.