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Painting, Coating, and Decorating Workers vs Furniture Finishers

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

A factual, source-backed comparison of Painting, Coating, and Decorating Workers and Furniture Finishers 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.”

Painting, Coating, and Decorating Workers Furniture Finishers
Median pay · BLS OEWS
$40,860
$42,530
Employment · BLS OEWS
8,470
14,230
AI exposure (percentile) · task overlap, not automation
25th pct
22nd pct

At a glance

Dimension Painting, Coating, and Decorating Workers Furniture Finishers
Median pay $40,860 $42,530
Employment 8,470 14,230
Employment outlook (2024–34) · BLS projection About average (+1.4%) Declining (-3.3%)
Annual openings · BLS projection 800 2,000
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 · 25th pct Low · 22nd pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 29th pct · 18% of tasks 20th pct · 16% of tasks
Observed AI use · Anthropic Economic Index
Mostly remote-capable · Dingel–Neiman Yes 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: Near Vision, Arm-Hand Steadiness, Visual Color Discrimination, Manual Dexterity, Production and Processing, Oral Comprehension, Oral Expression, Problem Sensitivity, Finger Dexterity, Active Listening, Monitoring, Coordination, Written Comprehension, Information Ordering, Speaking, Critical Thinking, Deductive Reasoning, Inductive Reasoning, Speech Recognition, Time Management, Control Precision, Multilimb Coordination, Judgment and Decision Making, Category Flexibility, Selective Attention, Trunk Strength, Design, Service Orientation, Originality, Flexibility of Closure.

Specific to Painting, Coating, and Decorating Workers

  • English Language
  • Social Perceptiveness
  • Speech Clarity
  • Customer and Personal Service
  • Reading Comprehension
  • Education and Training
  • Extent Flexibility
  • Chemistry

Specific to Furniture Finishers

  • Visualization
  • Static Strength
  • Dynamic Strength
  • Mechanical
  • Operations Monitoring
  • Perceptual Speed
  • Far Vision
  • Complex Problem Solving

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: Office suite software .

Full profiles

This page is a summary. See the complete source-backed profile for Painting, Coating, and Decorating Workers or Furniture Finishers — 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. "Painting, Coating, and Decorating Workers vs Furniture Finishers." 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/painting-coating-and-decorating-workers-vs-furniture-finishers

APA

Singulariki. (2026). Painting, Coating, and Decorating Workers vs Furniture Finishers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/painting-coating-and-decorating-workers-vs-furniture-finishers

BibTeX
@misc{singulariki-painting-coating-and-decorating-workers-vs-furniture-finishers,
  title  = {Painting, Coating, and Decorating Workers vs Furniture Finishers},
  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/painting-coating-and-decorating-workers-vs-furniture-finishers}
}

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