How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Smooth soldered joints and rough spots, using hand files and emery paper, and polish smoothed areas with polishing wheels or buffing wire.75
- Create jewelry from materials such as gold, silver, platinum, and precious or semiprecious stones.75
- Shape and straighten damaged or twisted articles by hand or using pliers.75
- Write or modify design specifications such as the metal contents and weights of items.75
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Cut and file pieces of jewelry such as rings, brooches, bracelets, and lockets.01
- Grade stones based on their color, perfection, and quality of cut.02
- Make repairs, such as enlarging or reducing ring sizes, soldering pieces of jewelry together, and replacing broken clasps and mountings.03
- Examine assembled or finished products to ensure conformance to specifications, using magnifying glasses or precision measuring instruments.04
- Pierce and cut open designs in ornamentation, using hand drills and scroll saws.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Gem and Diamond Workers
Closely related work
Compare these careers →Etchers and Engravers
Closely related work
Compare these careers →Grinding and Polishing Workers, Hand
Closely related work
Compare these careers →Stone Cutters and Carvers, Manufacturing
Related work
Compare these careers →Shoe and Leather Workers and Repairers
Related work
Compare these careers →Tool and Die Makers
Related work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
