Will AI replace Jewelers and Precious Stone and Metal Workers?
Estimated risk score: 22 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (3 to 41).
For the occupation as a whole, from ratings of its 30 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-9071.00 · Production
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 4 of its 30 rated tasks; the first 3 are shown. In O*NET’s words.
- Determine appraised values of diamonds and other gemstones based on price guides, market fluctuations, and stone grades and rarity.
- Record the weights and processing times of finished pieces.
- Write or modify design specifications such as the metal contents and weights of items.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 21 of its 30 rated tasks; the first 6 are shown. In O*NET’s words.
- Clean and polish metal items and jewelry pieces, using jewelers' tools, polishing wheels, and chemical baths.
- Construct preliminary models of wax, metal, clay, or plaster, and form sample castings in molds.
- 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.
- Cut designs in molds or other materials to be used as models in the fabrication of metal and jewelry products.
- Design and fabricate molds, models, and machine accessories, and modify hand tools used to cast metal and jewelry pieces.
What the job is
Design, fabricate, adjust, repair, or appraise jewelry, gold, silver, other precious metals, or gems.
Also called: Jeweler, Bench Jeweler, Arborer, Pronger, Gem Tech, Pewterer, Bead Maker, Goldbeater.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate