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Laundry and Dry-Cleaning Workers vs Coating, Painting, and Spraying Machine Setters, Operators, and Tenders

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

A factual, source-backed comparison of Laundry and Dry-Cleaning Workers and Coating, Painting, and Spraying Machine Setters, Operators, and Tenders 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 Coating, Painting, and Spraying Machine Setters, Operators, and Tenders
Median pay · BLS OEWS
$33,800
$47,590
Employment · BLS OEWS
195,360
159,500
AI exposure (percentile) · task overlap, not automation
9th pct
11th pct

At a glance

Dimension Laundry and Dry-Cleaning Workers Coating, Painting, and Spraying Machine Setters, Operators, and Tenders
Median pay $33,800 $47,590
Employment 195,360 159,500
Employment outlook (2024–34) · BLS projection About average (+5.4%) About average (+0.7%)
Annual openings · BLS projection 31,900 15,800
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 · 11th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 19th pct · 16% of tasks
Observed AI use · Anthropic Economic Index
Mostly remote-capable · Dingel–Neiman 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, Monitoring, Oral Comprehension, Oral Expression, Manual Dexterity, Control Precision, Near Vision, Social Perceptiveness, Operations Monitoring, Time Management, Problem Sensitivity, Information Ordering, Finger Dexterity, Multilimb Coordination, Trunk Strength, Critical Thinking, Operation and Control, Deductive Reasoning, Inductive Reasoning, Category Flexibility, Selective Attention, Visual Color Discrimination, Coordination.

Specific to Laundry and Dry-Cleaning Workers

  • Customer and Personal Service
  • Production and Processing
  • Active Listening
  • Speech Recognition
  • English Language
  • Public Safety and Security
  • Speaking
  • Speech Clarity

Specific to Coating, Painting, and Spraying Machine Setters, Operators, and Tenders

  • Far Vision
  • Quality Control Analysis
  • Flexibility of Closure
  • Perceptual Speed
  • Visualization
  • Equipment Maintenance
  • Repairing
  • Dynamic Strength

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: Spreadsheet software , Office suite software , Word processing software , Electronic mail software .

Full profiles

This page is a summary. See the complete source-backed profile for Laundry and Dry-Cleaning Workers or Coating, Painting, and Spraying Machine Setters, Operators, and Tenders — 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 Coating, Painting, and Spraying Machine Setters, Operators, and Tenders." 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-coating-painting-and-spraying-machine-setters-operators-and-tenders

APA

Singulariki. (2026). Laundry and Dry-Cleaning Workers vs Coating, Painting, and Spraying Machine Setters, Operators, and Tenders. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/laundry-and-dry-cleaning-workers-vs-coating-painting-and-spraying-machine-setters-operators-and-tenders

BibTeX
@misc{singulariki-laundry-and-dry-cleaning-workers-vs-coating-painting-and-spraying-machine-setters-operators-and-tenders,
  title  = {Laundry and Dry-Cleaning Workers vs Coating, Painting, and Spraying Machine Setters, Operators, and Tenders},
  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-coating-painting-and-spraying-machine-setters-operators-and-tenders}
}

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