SOC 51-9071

Jewelers and Precious Stone and Metal Workers AI displacement risk

Soldering settings, setting stones, and repairing heirlooms is precision handwork at the bench. CAD design tools and 3D printing assist custom design; the bench craft, appraisal trust, and repair judgment stay manual.

Exposure30

Share and intensity of work current AI systems can materially affect.

Automation15%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandLow

Casting and mass jewelry production are automated, but repair, custom work, and appraisal require hands and trust. Customers leave irreplaceable items with people, not machines.

Distribution

Where Jewelers and Precious Stone and Metal Workers sits across 620 tracked roles

Jewelers and Precious Stone and Metal Workers · 20050100

Displacement pressure 20 — higher than 23% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

30 O*NET task statements matched to SOC 51-9071. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $52,540 (May 2025, US national). The latest BLS row matched SOC 51-9071.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Jewelers and Precious Stone and Metal Workers

SOC 51-9071 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 20/100 role score and are not an occupation forecast.

Modest change

+1.1% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

+5.9% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

+33.6% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Jewelers and Precious Stone and Metal Workers

The current evidence import matched 30 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks30
SOC51-9071
  • Core task / ID 23624

    Clean and polish metal items and jewelry pieces, using jewelers' tools, polishing wheels, and chemical baths.

  • Core task / ID 23621

    Smooth soldered joints and rough spots, using hand files and emery paper, and polish smoothed areas with polishing wheels or buffing wire.

  • Core task / ID 23622

    Create jewelry from materials such as gold, silver, platinum, and precious or semiprecious stones.

  • Core task / ID 23625

    Cut and file pieces of jewelry such as rings, brooches, bracelets, and lockets.

  • Core task / ID 23628

    Examine assembled or finished products to ensure conformance to specifications, using magnifying glasses or precision measuring instruments.

  • Core task / ID 23623

    Make repairs, such as enlarging or reducing ring sizes, soldering pieces of jewelry together, and replacing broken clasps and mountings.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

physical

Repair and fabricate jewelry by hand

Exposure 18, automation 7%, augmentation 32%.

O*NET evidence: Design and fabricate molds, models, and machine accessories, and modify hand tools used... (ID 23644)

physical

Set stones and solder components

Exposure 16, automation 6%, augmentation 26%.

O*NET evidence: Position stones and metal pieces, and set, mount, and secure items in place, using sett... (ID 23620)

analytical

Appraise and evaluate pieces

Exposure 38, automation 17%, augmentation 58%.

social

Design custom pieces with clients

Exposure 44, automation 22%, augmentation 66%.

O*NET evidence: Mark, engrave, or emboss designs on metal pieces such as castings, wire, or jewelry, fo... (ID 23642)

TaskExposureAutomationAugmentation
Repair and fabricate jewelry by hand187%32%
Set stones and solder components166%26%
Appraise and evaluate pieces3817%58%
Design custom pieces with clients4422%66%

Transition pathways

Adjacent moves that preserve existing skills

credentialed transition

Graduate Gemologist

Training horizon: 6-12 months. Skill overlap 58. Wage preservation signal 116.

  • Complete GIA certification
  • Practice stone grading
  • Build appraisal documentation skills
Low
role redesign

Custom Jewelry Designer

Training horizon: 3-6 months. Skill overlap 66. Wage preservation signal 114.

  • Master CAD jewelry design
  • Build a custom portfolio
  • Direct 3D-printed casting workflows
Low

Comparison guides

Compare the next move before you commit

What the AI risk score means for Jewelers and Precious Stone and Metal Workers

The displacement pressure score for Jewelers and Precious Stone and Metal Workers is 20. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Design custom pieces with clients carries 22% automation pressure, while Design custom pieces with clients carries 66% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $52,540 (May 2025, US national). Employment context: Precision bench craft with repair and custom demand. Typical education: On-the-job training or technical program.

Wage vulnerability is 62, while transition feasibility is 60. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • Low displacement pressure
  • Custom and repair work persist
  • CAD and printing assist design

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Jewelers and Precious Stone and Metal Workers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

Bench technique

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Stone setting technique

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

Appraisal and evaluation

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

Client consultation

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to Graduate Gemologist, such as complete gia certification.
  3. By 90 days, compare internal openings and external postings for Graduate Gemologist or Custom Jewelry Designer and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Jewelers and Precious Stone and Metal Workers

Will AI replace Jewelers and Precious Stone and Metal Workers?

Soldering settings, setting stones, and repairing heirlooms is precision handwork at the bench. CAD design tools and 3D printing assist custom design; the bench craft, appraisal trust, and repair judgment stay manual. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Jewelers and Precious Stone and Metal Workers work are most exposed to AI?

Design custom pieces with clients and Appraise and evaluate pieces show the strongest automation pressure in this model. Design custom pieces with clients and Appraise and evaluate pieces are better treated as AI-augmented work.

What should Jewelers and Precious Stone and Metal Workers learn next?

Start with Bench technique, Stone setting technique, Appraisal and evaluation. The most practical adjacent paths in this model are Graduate Gemologist and Custom Jewelry Designer.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail