BETA
Updated: May 19
BETA
Updated: May 19
CLOSE
The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
Navigate your career with your free AI Career Coach. Research-backed, designed with career experts.
The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Not Very Resilient
Last Update: 5/19/2026
Your role’s AI Resilience Score is
28.1%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forJewelers and Precious Stone and Metal Workers
Jewelers and Precious Stone and Metal Workers are less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Jewelry work gets a "Not Very Resilient" label mainly because some of its most common tasks — like gemstone grading, design drafting, and polishing — are already being taken over or significantly sped up by AI and robotics, and the BLS projects a 5% drop in jeweler jobs by 2034. Repetitive tasks like analyzing diamonds all day are exactly the kind of work AI handles well, and big gem labs are already replacing those roles with machine-learning software.
Read full analysisLearn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is not very resilient
Jewelry work gets a "Not Very Resilient" label mainly because some of its most common tasks — like gemstone grading, design drafting, and polishing — are already being taken over or significantly sped up by AI and robotics, and the BLS projects a 5% drop in jeweler jobs by 2034. Repetitive tasks like analyzing diamonds all day are exactly the kind of work AI handles well, and big gem labs are already replacing those roles with machine-learning software.
Read full analysisAnalysis of Current AI Resilience
Jewelers & Metal Workers
Updated Quarterly • Last Update: 5/14/2026
How is AI changing Jewelers & Metal Workers jobs?
If you love making jewelry, there's good news: AI is changing the field, but it's mostly speeding up boring or repetitive tasks rather than replacing skilled hands. The biggest shift is in gemstone grading. At a 2025 CIBJO panel, Sarine Technologies CEO David Block told JCK that AI will likely take over diamond grading because graders do "the same action, all day" [1], and Gübelin Gem Lab's managing director described software that now tells scientists "this stone must not be heated with 98.3% confidence," freeing experts to do field work, research, and mentoring.
The International Gem Society explains that modern labs already use spectrophotometers, 3D mapping, and machine-learning algorithms to analyze thousands of diamonds [2], yet still rely on humans to spot new treatments, synthetics, and unfamiliar materials.
On the design side, MJSA's CreAItive Edge article reports that generative AI is "transforming the creative process," giving jewelers new ways to inspire and refine designs [3]—often turning sketches into 3D CAD models in minutes. However, the bench tasks with low automation scores—resizing rings, soldering, engraving, repositioning stones—still demand a steady, trained human hand.
Sources
How fast is AI adoption growing for Jewelers & Metal Workers?
Adoption will probably be uneven. The U.S. Bureau of Labor Statistics projects a 5% decline in jeweler employment from 2024 to 2034, citing 3D printing and robotic polishing alongside rising imports [4]. Big gem labs can afford pricey AI systems, while smaller labs worry they'll be priced out as AI lowers costs for larger competitors [2].
Cultural acceptance also slows full automation: at the 2026 Jewelers Mutual retreat, JCK reported speakers insisting "AI cannot replace presence, trust, taste, story, emotion, and craft" [1], and National Jeweler columnist Emmanuel Raheb argues that "AI is not replacing jewelers; it's replacing outdated digital habits" [5]. Expect fast AI uptake in gem labs, design software, and marketing, but slower change at the workbench—where your creativity and craftsmanship stay valuable.
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
More Career Info
Career: Jewelers and Precious Stone and Metal Workers
They create and repair jewelry by shaping metals and setting precious stones to design beautiful pieces.
Parent Careers
Employment & Wage Data
Median Wage
$49,140
Jobs (2024)
35,100
Growth (2024-34)
-5.5%
Annual Openings
4,000
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Mark, engrave, or emboss designs on metal pieces such as castings, wire, or jewelry, following specifications.
2
Trim gates and sharp points from cast parts, using band saws.
3
Make repairs, such as enlarging or reducing ring sizes, soldering pieces of jewelry together, and replacing broken clasps and mountings.
4
Position stones and metal pieces, and set, mount, and secure items in place, using setting and hand tools.
5
Alter existing jewelry mountings in order to reposition jewels or to adjust mountings.
6
Weigh, mix, and melt metal alloys or materials needed for jewelry models.
7
Weigh completed items to determine weights and record any deviations.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web
The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.