Makeup Artists, Theatrical and Performance vs Painting, Coating, and Decorating Workers
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Makeup Artists, Theatrical and Performance 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.”
At a glance
| Dimension | Makeup Artists, Theatrical and Performance | Painting, Coating, and Decorating Workers |
|---|---|---|
| Median pay | $50,280 | $40,860 |
| Employment | 3,320 | 8,470 |
| Employment outlook (2024–34) · BLS projection | Growing fast (+8.1%) | About average (+1.4%) |
| Annual openings · BLS projection | 1,100 | 800 |
| Typical education · O*NET | Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. | Usually requires a high school diploma or GED, though some occupations may not. |
| AI exposure · published exposure studies | Moderate · 43rd pct | Low · 25th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 29th pct · 18% of tasks | 29th pct · 18% of tasks |
| Observed AI use · Anthropic Economic Index | — | — |
| Mostly remote-capable · Dingel–Neiman | Yes | 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: Customer and Personal Service, Near Vision, English Language, Oral Comprehension, Oral Expression, Arm-Hand Steadiness, Visual Color Discrimination, Speaking, Finger Dexterity, Reading Comprehension, Manual Dexterity, Active Listening, Written Comprehension, Originality, Design, Problem Sensitivity, Information Ordering, Selective Attention, Speech Recognition, Critical Thinking, Judgment and Decision Making, Deductive Reasoning, Category Flexibility, Monitoring, Coordination, Speech Clarity, Social Perceptiveness, Service Orientation, Time Management, Inductive Reasoning, Administration and Management.
Specific to Makeup Artists, Theatrical and Performance
- Fine Arts
- Visualization
- Fluency of Ideas
- Communications and Media
- Active Learning
- Written Expression
- Far Vision
- Complex Problem Solving
Specific to Painting, Coating, and Decorating Workers
- Production and Processing
- Control Precision
- Multilimb Coordination
- Education and Training
- Trunk Strength
- Extent Flexibility
- Chemistry
- Writing
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: Graphics or photo imaging software , Spreadsheet software , Office suite software .
Specific to Makeup Artists, Theatrical and Performance
Specific to Painting, Coating, and Decorating Workers
Full profiles
This page is a summary. See the complete source-backed profile for Makeup Artists, Theatrical and Performance 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.
- Makeup Artists, Theatrical and Performance vs Hairdressers, Hairstylists, and Cosmetologists
- Makeup Artists, Theatrical and Performance vs Skincare Specialists
- Makeup Artists, Theatrical and Performance vs Costume Attendants
- Makeup Artists, Theatrical and Performance vs Manicurists and Pedicurists
- Makeup Artists, Theatrical and Performance vs Fine Artists, Including Painters, Sculptors, and Illustrators
- Makeup Artists, Theatrical and Performance vs Shampooers
- Makeup Artists, Theatrical and Performance vs Barbers
- Makeup Artists, Theatrical and Performance vs Craft Artists
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Makeup Artists, Theatrical and Performance 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; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); 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/makeup-artists-theatrical-and-performance-vs-painting-coating-and-decorating-workers
Singulariki. (2026). Makeup Artists, Theatrical and Performance vs Painting, Coating, and Decorating Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/makeup-artists-theatrical-and-performance-vs-painting-coating-and-decorating-workers
@misc{singulariki-makeup-artists-theatrical-and-performance-vs-painting-coating-and-decorating-workers,
title = {Makeup Artists, Theatrical and Performance 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; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); 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/makeup-artists-theatrical-and-performance-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.