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Laundry and Dry-Cleaning Workers vs Painting, Coating, and Decorating Workers

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

A factual, source-backed comparison of Laundry and Dry-Cleaning Workers and Painting, Coating, and Decorating Workers 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 Painting, Coating, and Decorating Workers
Median pay · BLS OEWS
$33,800
$40,860
Employment · BLS OEWS
195,360
8,470
AI exposure (percentile) · task overlap, not automation
9th pct
25th pct

At a glance

Dimension Laundry and Dry-Cleaning Workers Painting, Coating, and Decorating Workers
Median pay $33,800 $40,860
Employment 195,360 8,470
Employment outlook (2024–34) · BLS projection About average (+5.4%) About average (+1.4%)
Annual openings · BLS projection 31,900 800
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 · 25th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 19th pct · 16% of tasks 29th pct · 18% of tasks
Observed AI use · Anthropic Economic Index — —
Mostly remote-capable · Dingel–Neiman No Yes

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, Speaking, Social Perceptiveness, Time Management, Problem Sensitivity, Information Ordering, Finger Dexterity, Multilimb Coordination, Trunk Strength, Speech Clarity, Reading Comprehension, Critical Thinking, Judgment and Decision Making, Written Comprehension, Deductive Reasoning, Inductive Reasoning, Category Flexibility, Selective Attention, Visual Color Discrimination, Administration and Management, Coordination, Chemistry, Service Orientation.

Specific to Laundry and Dry-Cleaning Workers

  • Public Safety and Security
  • Operations Monitoring
  • Mathematics
  • Operation and Control
  • Active Learning
  • Instructing

Specific to Painting, Coating, and Decorating Workers

  • Education and Training
  • Design
  • Extent Flexibility
  • Writing
  • Originality
  • Flexibility of Closure

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 .

Specific to Laundry and Dry-Cleaning Workers

Specific to Painting, Coating, and Decorating Workers

Full profiles

This page is a summary. See the complete source-backed profile for Laundry and Dry-Cleaning Workers or Painting, Coating, and Decorating Workers — 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 Painting, Coating, and Decorating Workers." 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-painting-coating-and-decorating-workers

APA

Singulariki. (2026). Laundry and Dry-Cleaning Workers vs Painting, Coating, and Decorating Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/laundry-and-dry-cleaning-workers-vs-painting-coating-and-decorating-workers

BibTeX 
@misc{singulariki-laundry-and-dry-cleaning-workers-vs-painting-coating-and-decorating-workers,
  title  = {Laundry and Dry-Cleaning Workers vs Painting, Coating, and Decorating Workers},
  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-painting-coating-and-decorating-workers}
}

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