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Gem and Diamond Workers

Occupation · SOC 51-9071.06

Fabricate, finish, or evaluate the quality of gems and diamonds used in jewelry or industrial tools.

Also called: Diamond Cutter · Diamond Setter · Gemologist · Lapidarist · Diamond Grader · Diamond Picker · Diamond Polisher · Diamond Sawer · Facetor · Brilliandeer · Brilliandeer Lopper · Clarity Expert

Job family: Production Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-51-9071-06/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

39th-percentile task overlap — yet about 4,000 openings a year (-5.5% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 45th -0.2
LLM task exposure, γ (OpenAI / Eloundou) Moderate 42nd 0.5
AI assistant applicability (Microsoft) Moderate 35th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.2), and including AI-powered software (γ 0.5). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.

Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.9 · 89th percentile among occupations · High

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Declining · -5.5% by 2034
Projected annual openings 4,000
Employment 2024 → 2034 35,100 → 33,200

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

18% mean task exposure (2025)
26th percentile of 427 placed occupations
+3 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Jewellery and Precious Metal Workers · 7313 18% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 22 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Abilities

Near Vision 4.1
Finger Dexterity 3.6
Arm-Hand Steadiness 3.5
Visual Color Discrimination 3.4
Problem Sensitivity 3.3
Deductive Reasoning 3.1
Category Flexibility 3.1
Flexibility of Closure 3.1
Manual Dexterity 3.1
Control Precision 3.1
Oral Comprehension 3.0
Oral Expression 3.0
Information Ordering 3.0
Visualization 3.0
Selective Attention 3.0
Speech Recognition 3.0
Speech Clarity 3.0
Written Comprehension 2.9
Inductive Reasoning 2.9
Number Facility 2.9
Mathematical Reasoning 2.8
Perceptual Speed 2.8

Knowledge

Customer and Personal Service 3.6
Production and Processing 3.2
English Language 3.0
Mathematics 3.0
Sales and Marketing 3.0
Administration and Management 2.8

Transferable skills

Quality Control Analysis 3.4
Judgment and Decision Making 2.9
Social Perceptiveness 2.8
Service Orientation 2.8
Complex Problem Solving 2.8
Operations Monitoring 2.8

Essential skills

Active Listening 3.1
Speaking 3.1
Critical Thinking 3.0
Monitoring 3.0
Reading Comprehension 2.9
Mathematics 2.8

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Business accounting software Accounting software
Gem identification databases Data base user interface and query software
GemCad Computer aided design CAD software
Inventory tracking software Inventory management software
Jewelry design software Computer aided design CAD software
Spectrophotometer analysis software Analytical or scientific software
Web browser software Internet browser software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Indoors, Environmentally Controlled 4.9
Importance of Being Exact or Accurate 4.8
Face-to-Face Discussions with Individuals and Within Teams 4.8
Contact With Others 4.8
Spend Time Sitting 4.8
Telephone Conversations 4.7
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.6
Importance of Repeating Same Tasks 4.5
Written Letters and Memos 4.5
Deal With External Customers or the Public in General 4.4
Impact of Decisions on Co-workers or Company Results 4.4
Work With or Contribute to a Work Group or Team 4.3
E-Mail 4.3
Coordinate or Lead Others in Accomplishing Work Activities 4.2
Exposed to Contaminants 3.9
Spend Time Making Repetitive Motions 3.8
Time Pressure 3.7
Determine Tasks, Priorities and Goals 3.3
Frequency of Decision Making 3.3
Exposed to Hazardous Conditions 3.2
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.0
Conflict Situations 2.9
Freedom to Make Decisions 2.9
Physical Proximity 2.7
Degree of Automation 2.6
Health and Safety of Other Workers 2.2
Work Outcomes and Results of Other Workers 2.2
Dealing With Unpleasant, Angry, or Discourteous People 2.1
Exposed to Hazardous Equipment 2.1
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 2.0
Public Speaking 1.9
Level of Competition 1.8
In an Enclosed Vehicle or Operate Enclosed Equipment 1.7
Consequence of Error 1.5
Exposed to Minor Burns, Cuts, Bites, or Stings 1.4
Spend Time Standing 1.4
Pace Determined by Speed of Equipment 1.4
Spend Time Bending or Twisting Your Body 1.4
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.3
Exposed to Very Hot or Cold Temperatures 1.2

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Mechanic and Repair Technologies/Technicians , Visual and Performing Arts . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 57.9%
Bachelor's Degree 19.0%
Post-Secondary Certificate 15.2%
Less than a High School Diploma 8.0%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 5.5
Conventional 4.1
Investigative 3.1
Artistic 2.9
Enterprising 2.1

Work styles

Dependability 4.0
Attention to Detail 3.0
Cautiousness 2.5
Integrity 2.3

Interest areas

Physical Science 2.3
Engineering 2.0
Mathematics/Statistics 2.0
Physical/Manual Labor 2.0
Applied Arts and Design 1.8
Accounting 1.8
Mechanics/Electronics 1.8

Wages & employment

U.S. · annual wages (BLS OEWS)

$34k10th$38k25th$49kMedian$63k75th$82k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
35k202433k2034 (proj.)-5.5% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $33,890
25th percentile $38,030
Median (50th) $49,140
75th percentile $63,210
90th percentile $81,610
People employed 23,420

Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 51-9071), not for the specialty alone.

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Retail Trade · Sector 12,050 $50,340
Manufacturing · Sector 6,180 $46,180
Jewelry and Silverware Manufacturing · National industry 6,000 $46,130
Wholesale Trade · Sector 2,780 $58,120
Other Services (except Public Administration) · Sector 1,030 $48,250
Management of Companies and Enterprises · Sector 420 $70,410
Professional, Scientific, and Technical Services · Sector 410 $62,640
Finance and Insurance · Sector 190 $50,870
Temporary Help Services · National industry 40 $36,520
Health Care and Social Assistance · Sector $55,370

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Jewelry and Silverware Manufacturing · National industry 1982.99× 6,000
Retail Trade · Sector 5.09× 12,050
Manufacturing · Sector 3.19× 6,180
Wholesale Trade · Sector 3.03× 2,780
Other Services (except Public Administration) · Sector 1.53× 1,030
Management of Companies and Enterprises · Sector 0.98× 420
Professional, Scientific, and Technical Services · Sector 0.25× 410
Finance and Insurance · Sector 0.2× 190

Part of the Advanced Manufacturing career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Gem and Diamond Workers sits at the 39th percentile of AI task-overlap and the 31st percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Gem and Diamond Workers Cutters and Trimmers, Hand Grinding and Polishing Workers, Hand Molders, Shapers, and Casters, Except Metal and Plastic Tool and Die Makers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Gem and Diamond Workers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 26th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Gem and Diamond Workers show 39th-percentile AI task overlap — and about 4,000 annual U.S. openings

  • Gem and Diamond Workers rank in the 39th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 4,000 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be declining (-5.5%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $49,140, across about 23,420 U.S. workers.BLS OEWS (May 2024)
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Gem and Diamond Workers show 39th-percentile AI task overlap — and about 4,000 annual U.S. openings

• Gem and Diamond Workers rank in the 39th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 4,000 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be declining (-5.5%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $49,140, across about 23,420 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Gem and Diamond Workers". https://singulariki.com/roles/role-51-9071-06
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Gem and Diamond Workers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-51-9071-06

APA

Singulariki. (2026). Gem and Diamond Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-9071-06

BibTeX
@misc{singulariki-role-51-9071-06,
  title  = {Gem and Diamond Workers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-51-9071-06}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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