Painting, Coating, and Decorating Workers vs Plating Machine Setters, Operators, and Tenders, Metal and Plastic
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Painting, Coating, and Decorating Workers and Plating Machine Setters, Operators, and Tenders, Metal and Plastic 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 | Painting, Coating, and Decorating Workers | Plating Machine Setters, Operators, and Tenders, Metal and Plastic |
|---|---|---|
| Median pay | $40,860 | $41,600 |
| Employment | 8,470 | 31,510 |
| Employment outlook (2024–34) · BLS projection | About average (+1.4%) | Declining (-13.6%) |
| Annual openings · BLS projection | 800 | 2,500 |
| 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 · 23rd pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 29th pct · 18% of tasks | 31st pct · 19% of tasks |
| Observed AI use · Anthropic Economic Index | — | Automation-leaning (70.0%) |
| 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, Manual Dexterity, Production and Processing, Oral Comprehension, Oral Expression, Problem Sensitivity, Finger Dexterity, English Language, Active Listening, Monitoring, Coordination, Information Ordering, Speech Clarity, Customer and Personal Service, Reading Comprehension, Speaking, Critical Thinking, Deductive Reasoning, Inductive Reasoning, Time Management, Control Precision, Multilimb Coordination, Education and Training, Category Flexibility, Selective Attention, Design, Chemistry, Flexibility of Closure.
Specific to Painting, Coating, and Decorating Workers
- Visual Color Discrimination
- Social Perceptiveness
- Written Comprehension
- Speech Recognition
- Judgment and Decision Making
- Trunk Strength
- Service Orientation
- Extent Flexibility
Specific to Plating Machine Setters, Operators, and Tenders, Metal and Plastic
- Mathematics
- Mechanical
- Engineering and Technology
- Operations Monitoring
- Law and Government
- Operation and Control
- Public Safety and Security
- Transportation
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 .
Specific to Painting, Coating, and Decorating Workers
Specific to Plating Machine Setters, Operators, and Tenders, Metal and Plastic
Full profiles
This page is a summary. See the complete source-backed profile for Painting, Coating, and Decorating Workers or Plating Machine Setters, Operators, and Tenders, Metal and Plastic — 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.
- Painting, Coating, and Decorating Workers vs Coating, Painting, and Spraying Machine Setters, Operators, and Tenders
- Painting, Coating, and Decorating Workers vs Etchers and Engravers
- Painting, Coating, and Decorating Workers vs Painters, Construction and Maintenance
- Painting, Coating, and Decorating Workers vs Molders, Shapers, and Casters, Except Metal and Plastic
- Painting, Coating, and Decorating Workers vs Furniture Finishers
- Painting, Coating, and Decorating Workers vs Grinding and Polishing Workers, Hand
- Painting, Coating, and Decorating Workers vs Cutters and Trimmers, Hand
- Painting, Coating, and Decorating Workers vs Laundry and Dry-Cleaning Workers
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. "Painting, Coating, and Decorating Workers vs Plating Machine Setters, Operators, and Tenders, Metal and Plastic." 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/painting-coating-and-decorating-workers-vs-plating-machine-setters-operators-and-tenders-metal-and-plastic
Singulariki. (2026). Painting, Coating, and Decorating Workers vs Plating Machine Setters, Operators, and Tenders, Metal and Plastic. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/painting-coating-and-decorating-workers-vs-plating-machine-setters-operators-and-tenders-metal-and-plastic
@misc{singulariki-painting-coating-and-decorating-workers-vs-plating-machine-setters-operators-and-tenders-metal-and-plastic,
title = {Painting, Coating, and Decorating Workers vs Plating Machine Setters, Operators, and Tenders, Metal and Plastic},
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/painting-coating-and-decorating-workers-vs-plating-machine-setters-operators-and-tenders-metal-and-plastic}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.