Can AI Replace Jewelers and Precious Stone and Metal Workers in 2026?

Lower exposure. AI could handle about 24% of today's jewelers and precious stone and metal workers tasks by 2036, and there is a 18% chance the number of jobs falls by a fifth or more. AI mostly assists people in this role.

See how not to be replaced

Timeline

Year2030

Tasks AI can do

13%

Headcount (2025 = 100)

Chance of 20%+ fewer jobs

11% 2030 · 18% 2036

One person could cover, 2036

~1 roles

Share of today's tasks AI can perform

Headcount index, 2025 = 100 (dashed line)

Your survival map

Not every part of your job is at the same risk. Tap a number to see what to do about each task.

Your human coreDo it with AIHand to AI

Tap a number on the map or a task below.

Lower-risk jobs that use similar skills

Stonemasons5% risk by 2036 Tile and Stone Setters6% risk by 2036 Terrazzo Workers and Finishers5% risk by 2036

Your plan

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Try an AI tool on one task you'd normally do by hand: "Compute costs of labor and materials in order to determine production costs of products and articles".Learn one AI tool well enough to show it in an interview, for: "Determine appraised values of diamonds and other gemstones based on price guides, market fluctuations, and stone grades and rarity".Get visibly better at your human core: "Position stones and metal pieces, and set, mount, and secure items in place, using setting and hand tools".Rewrite the top of your CV around judgment, people and decisions, not routine output.Read about a lower-risk move: Stonemasons.

Lower-risk jobs with similar tasks

Stonemasons — 5% chance of contraction by 2036
Tile and Stone Setters — 6% chance of contraction by 2036
Terrazzo Workers and Finishers — 5% chance of contraction by 2036

Similar occupations

Gem and Diamond Workers · Tool and Die Makers · Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic · Molders, Shapers, and Casters, Except Metal and Plastic

Based on 30 O*NET tasks for "Jewelers and Precious Stone and Metal Workers" (SOC 51-9071.00). LLM alone: 7% of tasks; with AI tools: 29%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10