How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is less exposed to automation, and the bigger shift looks near-term.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 0.5 to 24.5
Physical / roboticsrange 25.9 to 49.9
When the change is likely
Near-term, highlocal demand declining
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Act within the next 1 to 2 years
Displacement for this role is near-term. Start a concrete reskilling plan now, while you still have income and leverage.
2
Pivot toward Gem and Diamond Workers
It is skill-adjacent and less exposed (25.2 vs 38). A lateral move now beats a forced one later.
3
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
4
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Position stones and metal pieces, and set, mount, and secure items in place, using setting and hand tools.
37.9
Smooth soldered joints and rough spots, using hand files and emery paper, and polish smoothed areas with polishing wheels or buffing wire.
37.9
Create jewelry from materials such as gold, silver, platinum, and precious or semiprecious stones.
37.9
Make repairs, such as enlarging or reducing ring sizes, soldering pieces of jewelry together, and replacing broken clasps and mountings.
37.9
Clean and polish metal items and jewelry pieces, using jewelers' tools, polishing wheels, and chemical baths.
37.9
Cut and file pieces of jewelry such as rings, brooches, bracelets, and lockets.
37.9
Select and acquire metals and gems for designs.
100.0
Compute costs of labor and materials to determine production costs of products and articles.
37.9
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Select and acquire metals and gems for designs.
Local demand is declining
Task: Position stones and metal pieces, and set, mount, and secure items in place, using setting and hand tools.
Lower-risk adjacent roles
Gem and Diamond Workers
25.2
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Jewelers and Precious Stone and Metal Workers to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 12.5, robotics 37.9.
The timeline comes from the higher axis (37.9), shifted for local demand (declining), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.