70
/100

SOC 51-9071

Jewelers and Precious Stone and Metal Workers

High RiskFrey/Osborne: 95.0%

Risk Score

โš ๏ธ

70/100

High Risk

US Employment

๐Ÿ‘ฅ

23,420

Total workers

Median Wage

๐Ÿ’ฐ

$49K

$34K โ€“ $82K

Projected Growth

๐Ÿ“ˆ

-5.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

61/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Jewelers and Precious Stone and Metal Workers face a risk score of 70/100 โ€” 26 points above the national average of 44. With 61/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $49K ($3K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 70/100, Jewelers and Precious Stone and Metal Workers faces significant automation pressure. Key threats include ai coding assistants reducing developer demand and cobots handling repetitive material handling tasks. The 23,420 Americans in this role should actively develop skills in troubleshooting complex equipment malfunctions and quality judgment requiring tactile and visual inspection to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Jewelers and Precious Stone and Metal Workers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI coding assistants reducing developer demand

2

Cobots handling repetitive material handling tasks

3

Industrial robotics replacing manual assembly tasks

4

AI-generated written content replacing manual drafting

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Troubleshooting complex equipment malfunctions

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Setup and calibration of custom production runs

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Position stones and metal pieces, and set, mount, and secure items in place, using setting and hand tools.

โ€ข

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

โ€ข

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

โ€ข

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

โ€ข

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

๐Ÿ’ป Technology Skills

โ€ข

Graphics or photo imaging software

โ€ข

Computer aided design CAD software

โ€ข

Customer relationship management CRM software

โ€ข

Accounting software

โ€ข

Inventory management software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Production and Processing

โ€ข

Design

โ€ข

Mechanical

โ€ข

English Language

๐Ÿ“Š vs National Average

Median Wage$49K
+$3K

National avg: $46K

Risk Score70/100
+26

National avg: 44/100

GenAI Exposure61/100
+23

National avg: 38/100

Projected Growth-5.5%
-9.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K65%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K55%
Fabric and Apparel Patternmakers33$68K74%