# Jewelers and Precious Stone and Metal Workers

> Design, fabricate, adjust, repair, or appraise jewelry, gold, silver, other precious metals, or gems.

- **SOC code:** 51-9071.00
- **Canonical URL:** https://singulariki.com/roles/role-51-9071-00
- **Also known as:** Bench Jeweler, Goldsmith, Jeweler, Silversmith, Appraiser, Artisan Jeweler, Caster, Gemologist
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Clean and polish metal items and jewelry pieces, using jewelers' tools, polishing wheels, and chemical baths.
- Smooth soldered joints and rough spots, using hand files and emery paper, and polish smoothed areas with polishing wheels or buffing wire.
- Create jewelry from materials such as gold, silver, platinum, and precious or semiprecious stones.
- Cut and file pieces of jewelry such as rings, brooches, bracelets, and lockets.
- Examine assembled or finished products to ensure conformance to specifications, using magnifying glasses or precision measuring instruments.
- Make repairs, such as enlarging or reducing ring sizes, soldering pieces of jewelry together, and replacing broken clasps and mountings.
- Compute costs of labor and materials to determine production costs of products and articles.
- Position stones and metal pieces, and set, mount, and secure items in place, using setting and hand tools.
- Grade stones based on their color, perfection, and quality of cut.
- Select and acquire metals and gems for designs.
- Buy and sell jewelry, or serve as agents between buyers and sellers.
- Shape and straighten damaged or twisted articles by hand or using pliers.

**Emerging tasks** (O*NET):
- Measure, cut, and file pieces of jewelry, such as rings, brooches, bracelets, and lockets.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Design _(knowledge)_
- Near Vision _(ability)_
- Production and Processing _(knowledge)_
- Sales and Marketing _(knowledge)_
- Administration and Management _(knowledge)_
- Finger Dexterity _(ability)_
- Arm-Hand Steadiness _(ability)_
- Mechanical _(knowledge)_
- Oral Comprehension _(ability)_
- Administrative _(knowledge)_
- Engineering and Technology _(knowledge)_

**Skills in demand:**
- Finger Dexterity _(Common Skill)_
- Mathematics _(Common Skill)_
- Visualization _(Specialized Skill)_
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Adobe Photoshop _(Specialized Skill)_

**Tools & technology:**
- Adobe Illustrator _(hot technology)_
- Adobe Photoshop _(hot technology)_
- Intuit QuickBooks _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft Word _(hot technology)_
- Computer assisted jewelry design CAD software
- Customer information databases
- Inventory tracking software
- Jewelry store point of sale POS software
- Metal designing software
- Retail management software

## AI exposure & outlook

- **AI task-overlap index:** 35th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 45th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 31st percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 35th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 89th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -5.5% growth (Declining); 4k annual openings; 35.1k → 33.2k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $49,140; 23,420 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-51-9071-00_