Will AI replace Jewelers and Precious Stone and Metal Workers?
AI reaches little of this job’s work.
14/100
Low exposure
More exposed to AI than 25% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 23% of the work
What the job involves
Design, fabricate, adjust, repair, or appraise jewelry, gold, silver, other precious metals, or gems.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(6)
- Create jewelry from materials such as gold, silver, platinum, and precious or semiprecious stones.
- Record the weights and processing times of finished pieces.
- Compute costs of labor and materials to determine production costs of products and articles.
- Write or modify design specifications such as the metal contents and weights of items.
- Create new jewelry designs and modify existing designs, using computers as necessary.
and 1 more
Out of reach(24)
- Examine assembled or finished products to ensure conformance to specifications, using magnifying glasses or precision measuring instruments.
- 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.
- Cut and file pieces of jewelry such as rings, brooches, bracelets, and lockets.
- Shape and straighten damaged or twisted articles by hand or using pliers.
and 19 more
Also called
Jeweler · Silversmith · Jewelsmith · Gemologist · Goldsmith · Polisher · Stone Setter · Diamond Grader
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What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics