Jewelers and Precious Stone and Metal 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 Jewelers and Precious Stone and Metal 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.”
At a glance
| Dimension | Jewelers and Precious Stone and Metal Workers | Painting, Coating, and Decorating Workers |
|---|---|---|
| Median pay | $49,140 | $40,860 |
| Employment | 23,420 | 8,470 |
| Employment outlook (2024–34) · BLS projection | Declining (-5.5%) | About average (+1.4%) |
| Annual openings · BLS projection | 4,000 | 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 · 35th pct | Low · 25th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 26th pct · 18% 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: Customer and Personal Service, Design, Near Vision, Production and Processing, Administration and Management, Finger Dexterity, Arm-Hand Steadiness, Oral Comprehension, Active Listening, Oral Expression, Originality, Category Flexibility, Education and Training, Speaking, Critical Thinking, Problem Sensitivity, Deductive Reasoning, Information Ordering, Visual Color Discrimination, Speech Recognition, Speech Clarity, Social Perceptiveness, Coordination, Judgment and Decision Making, Written Comprehension, Inductive Reasoning, Manual Dexterity, Control Precision, English Language.
Specific to Jewelers and Precious Stone and Metal Workers
- Sales and Marketing
- Mechanical
- Administrative
- Engineering and Technology
- Mathematics
- Visualization
- Fine Arts
- Economics and Accounting
Specific to Painting, Coating, and Decorating Workers
- Monitoring
- Reading Comprehension
- Time Management
- Multilimb Coordination
- Selective Attention
- Trunk Strength
- Service Orientation
- Extent Flexibility
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 .
Specific to Jewelers and Precious Stone and Metal Workers
Specific to Painting, Coating, and Decorating Workers
Full profiles
This page is a summary. See the complete source-backed profile for Jewelers and Precious Stone and Metal 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.
- Jewelers and Precious Stone and Metal Workers vs Gem and Diamond Workers
- Jewelers and Precious Stone and Metal Workers vs Etchers and Engravers
- Jewelers and Precious Stone and Metal Workers vs Grinding and Polishing Workers, Hand
- Jewelers and Precious Stone and Metal Workers vs Molders, Shapers, and Casters, Except Metal and Plastic
- Jewelers and Precious Stone and Metal Workers vs Craft Artists
- Jewelers and Precious Stone and Metal Workers vs Stone Cutters and Carvers, Manufacturing
- Jewelers and Precious Stone and Metal Workers vs Shoe and Leather Workers and Repairers
- Jewelers and Precious Stone and Metal Workers vs Sewers, Hand
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. "Jewelers and Precious Stone and Metal 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; 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/jewelers-and-precious-stone-and-metal-workers-vs-painting-coating-and-decorating-workers
Singulariki. (2026). Jewelers and Precious Stone and Metal Workers vs Painting, Coating, and Decorating Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/jewelers-and-precious-stone-and-metal-workers-vs-painting-coating-and-decorating-workers
@misc{singulariki-jewelers-and-precious-stone-and-metal-workers-vs-painting-coating-and-decorating-workers,
title = {Jewelers and Precious Stone and Metal 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; 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/jewelers-and-precious-stone-and-metal-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.