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Etchers and Engravers

Occupation · SOC 51-9194.00

Engrave or etch metal, wood, rubber, or other materials. Includes such workers as etcher-circuit processors, pantograph engravers, and silk screen etchers.

Also called: Chemical Engraver · Engraver · Etcher · Photo Engraver · Acid Etch Operator · Award Machine Operator · Electronic Engraver · Laser Engraver · Screen Making Technician · Wet Process Technician · Block Engraver · Bowling Ball Engraver

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-51-9194-00/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.

26th-percentile task overlap — yet about 900 openings a year (-0.7% 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.) Low 30th -0.6
LLM task exposure, γ (OpenAI / Eloundou) Low 30th 0.3
AI assistant applicability (Microsoft) Low 23rd 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.1), and including AI-powered software (γ 0.3). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

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 1.0 · 97th percentile among occupations · High

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Examine sketches, diagrams, samples, blueprints, or photographs to decide how designs are to be etched, cut, or engraved onto workpieces. 0.3%

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 · -0.7% by 2034
Projected annual openings 900
Employment 2024 → 2034 8,600 → 8,600

“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 2 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

21% mean task exposure (2025)
36th percentile of 427 placed occupations
−7 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Electrical and Electronic Equipment Assemblers · 8212 28% Minimal
Sign Writers, Decorative Painters, Engravers and Etchers · 7316 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 30 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).

Knowledge

Production and Processing 4.2
Customer and Personal Service 3.4
Mechanical 3.0
Design 3.0
Administration and Management 3.0
Mathematics 2.8
Computers and Electronics 2.8

Abilities

Near Vision 3.9
Arm-Hand Steadiness 3.8
Control Precision 3.8
Oral Comprehension 3.4
Oral Expression 3.3
Selective Attention 3.3
Manual Dexterity 3.3
Finger Dexterity 3.3
Problem Sensitivity 3.1
Visualization 3.1
Speech Recognition 3.1
Speech Clarity 3.1
Written Comprehension 3.0
Fluency of Ideas 3.0
Deductive Reasoning 3.0
Inductive Reasoning 3.0
Information Ordering 3.0
Category Flexibility 3.0
Perceptual Speed 2.9
Multilimb Coordination 2.9
Flexibility of Closure 2.8
Far Vision 2.8

Essential skills

Reading Comprehension 3.1
Monitoring 3.1
Active Listening 3.0
Speaking 3.0
Critical Thinking 3.0

Transferable skills

Operations Monitoring 3.1
Operation and Control 3.0
Quality Control Analysis 3.0
Judgment and Decision Making 2.9
Social Perceptiveness 2.8
Time Management 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
Microsoft Office software Office suite software Hot technology In demand
Adobe Illustrator Graphics or photo imaging software Hot technology
Microsoft Windows Operating system software Hot technology
Computer aided design and computer aided manufacturing CAD/CAM engraving software Computer aided design CAD and computer aided manufacturing CAM system
Corel CorelDraw Graphics Suite Graphics or photo imaging software
Delcam ArtCAM Express Computer aided manufacturing CAM software
Gravograph GravoStyle Computer aided manufacturing CAM software
Western Engravers Supply Vision EXPERT Computer aided manufacturing CAM 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.

Face-to-Face Discussions with Individuals and Within Teams 4.9
Importance of Being Exact or Accurate 4.4
Indoors, Environmentally Controlled 4.4
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.4
Exposed to Contaminants 4.3
Time Pressure 4.3
Determine Tasks, Priorities and Goals 4.2
Freedom to Make Decisions 4.1
Telephone Conversations 4.0
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.7
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.6
Contact With Others 3.4
Spend Time Standing 3.4
Work With or Contribute to a Work Group or Team 3.4
Importance of Repeating Same Tasks 3.4
E-Mail 3.3
Frequency of Decision Making 3.2
Coordinate or Lead Others in Accomplishing Work Activities 3.0
Consequence of Error 3.0
Spend Time Making Repetitive Motions 3.0
Health and Safety of Other Workers 3.0
Exposed to Hazardous Equipment 3.0
Impact of Decisions on Co-workers or Company Results 2.9
Physical Proximity 2.8
Work Outcomes and Results of Other Workers 2.8
Written Letters and Memos 2.8
Deal With External Customers or the Public in General 2.8
Spend Time Sitting 2.8
Pace Determined by Speed of Equipment 2.7
Exposed to Hazardous Conditions 2.6
Level of Competition 2.6
Spend Time Walking or Running 2.5
Spend Time Bending or Twisting Your Body 2.3
Degree of Automation 2.3
Dealing With Unpleasant, Angry, or Discourteous People 2.3
Exposed to Cramped Work Space, Awkward Positions 2.2
Exposed to Minor Burns, Cuts, Bites, or Stings 2.2
Exposed to Very Hot or Cold Temperatures 2.2
Indoors, Not Environmentally Controlled 2.1
Conflict Situations 2.0

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

What to study: Communications Technologies/Technicians and Support Services . 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 53.9%
Less than a High School Diploma 32.7%
Associate's Degree (or other 2-year degree) 12.7%
Post-Secondary Certificate 0.8%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 6.5
Artistic 3.8
Conventional 3.4
Investigative 2.5
Social 1.4

Interest areas

Applied Arts and Design 3.4
Visual Arts 3.2
Physical/Manual Labor 3.2
Engineering 2.6
Mechanics/Electronics 2.3
Construction/Woodwork 2.3
Transportation/Machine Operation 1.3
Physical Science 1.3

Work styles

Attention to Detail 2.8
Dependability 2.1
Cautiousness 2.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$30k10th$36k25th$40kMedian$49k75th$60k90th
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.
9k20249k2034 (proj.)-0.7% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $29,530
25th percentile $35,650
Median (50th) $40,450
75th percentile $48,510
90th percentile $60,430
People employed 8,390

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
Manufacturing · Sector 4,480 $42,400
Retail Trade · Sector 3,060 $36,610
Jewelry and Silverware Manufacturing · National industry 480 $39,350
Professional, Scientific, and Technical Services · Sector 430 $46,730
Wholesale Trade · Sector 180 $47,170
Engineering Services · National industry 170 $47,320
Administrative and Support and Waste Management and Remediation Services · Sector 100 $37,210
Temporary Help Services · National industry 90 $37,030
Sporting Goods Retailers · National industry 80 $33,690
Machine Shops · National industry 60 $43,850

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 442.83× 480
Manufacturing · Sector 6.45× 4,480
Retail Trade · Sector 3.61× 3,060
Engineering Services · National industry 2.7× 170
Professional, Scientific, and Technical Services · Sector 0.73× 430
Wholesale Trade · Sector 0.55× 180
Administrative and Support and Waste Management and Remediation Services · Sector 0.2× 100

Part of the Advanced Manufacturing and Arts, Entertainment, & Design career clusters.

Exposure quadrant: AI task-overlap percentile vs Median pay Etchers and Engravers sits at the 26th percentile of AI task-overlap and the 14th 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 Etchers and Engravers Molders, Shapers, and Casters, Except Metal and Plastic Tool Grinders, Filers, and Sharpeners Tool and Die Makers Patternmakers, Metal and Plastic Prepress Technicians and Workers 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 Etchers and Engravers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Etchers and Engravers show 26th-percentile AI task overlap — and about 900 annual U.S. openings

  • Etchers and Engravers rank in the 26th percentile (Low 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 900 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 (-0.7%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $40,450, across about 8,390 U.S. workers.BLS OEWS (May 2024)
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Etchers and Engravers show 26th-percentile AI task overlap — and about 900 annual U.S. openings

• Etchers and Engravers rank in the 26th percentile (Low 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 900 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 (-0.7%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $40,450, across about 8,390 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Etchers and Engravers". https://singulariki.com/roles/role-51-9194-00
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. "Etchers and Engravers." 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; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); 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-51-9194-00

APA

Singulariki. (2026). Etchers and Engravers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-9194-00

BibTeX
@misc{singulariki-role-51-9194-00,
  title  = {Etchers and Engravers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); 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-51-9194-00}
}

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

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