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Singulariki

Craft Artists

Occupation · SOC 27-1012.00

Create or reproduce handmade objects for sale and exhibition using a variety of techniques, such as welding, weaving, pottery, and needlecraft.

Also called: Artist · Fiber Artist · Glass Artist · Textile Artist · Ceramic Artist · Decorative Arts Production Artist · Fine Craft Artist · Goldsmith · Hand-Weaver · Tapestry Artist · Art Objects Repairer · Artisan

Job family: Arts, Design, Entertainment, Sports, and Media Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-27-1012-00/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.

Often handed to AI

Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.

  • Create functional or decorative objects by hand, using a variety of methods and materials. · 0.6%
See how AI is used here →

Use as a copilot

Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.

  • Develop concepts or creative ideas for craft objects. · 4.0%
See collaboration patterns →

Keep a human in the loop

Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.

  • Confer with customers to assess customer needs or obtain feedback. · 98.5% need a human
  • Develop concepts or creative ideas for craft objects. · 98.2% need a human
  • Create functional or decorative objects by hand, using a variety of methods and materials. · 89.1% need a human
See the boundary tasks →

42nd-percentile task overlap — yet about 1,000 openings a year (+2.1% projected, BLS), and observed AI use leans 4240% copilot, not hand-off (AEI) . 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 20th -0.9
LLM task exposure, γ (OpenAI / Eloundou) Moderate 45th 0.5
AI assistant applicability (Microsoft) Moderate 66th 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.3), 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.

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

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 0.0 · 20th percentile among occupations · Low

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.

Create functional or decorative objects by hand, using a variety of methods and materials. 29.1%
Develop concepts or creative ideas for craft objects. 4.9%
Confer with customers to assess customer needs or obtain feedback. 0.4%
Develop designs using specialized computer software. 0.3%
Create prototypes or models of objects to be crafted. 0.2%
Research craft trends, venues, and customer buying patterns to inspire designs and marketing strategies. 0.2%

Job outlook

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

Outlook About average · +2.1% by 2034
Projected annual openings 1,000
Employment 2024 → 2034 11,600 → 11,900

“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 4 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.

22% mean task exposure (2025)
38th percentile of 427 placed occupations
−2 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Gallery, Museum and Library Technicians · 3433 37% Gradient 1
Visual Artists · 2651 21% Not exposed
Potters and Related Workers · 7314 18% Not exposed
Handicraft Workers in Wood, Basketry and Related Materials · 7317 14% 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.

Working with AI in this job

How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.

Augmentation vs. automation 42.4% working with AI · 35.6% handed to AI
Most common way people use AI here Iteration · you and AI go back and forth
Typical AI autonomy 4.0 / 5 · higher = AI acts more independently
Used for work (vs. personal / coursework) 13.1%

What people delegate to AI

The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.

Task How Usage
Develop concepts or creative ideas for craft objects. Iteration 4.0%
Confer with customers to assess customer needs or obtain feedback. none 2.0%
Create functional or decorative objects by hand, using a variety of methods and materials. Directive 0.6%

Where a human is still needed

Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.

Confer with customers to assess customer needs or obtain feedback. 98.5%
Develop concepts or creative ideas for craft objects. 98.2%
Create functional or decorative objects by hand, using a variety of methods and materials. 89.1%

What people most often hand AI here

Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.

  • Help me develop concepts or creative ideas for craft objects.

    From: Develop concepts or creative ideas for craft objects. · 4.0% of measured AI use · task iteration

  • Help me confer with customers to assess customer needs or obtain feedback.

    From: Confer with customers to assess customer needs or obtain feedback. · 2.0% of measured AI use · none

  • Help me create functional or decorative objects by hand, using a variety of methods and materials.

    From: Create functional or decorative objects by hand, using a variety of methods and materials. · 0.6% of measured AI use · directive

Tasks

All 15 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

Originality 4.1
Arm-Hand Steadiness 3.9
Finger Dexterity 3.9
Manual Dexterity 3.8
Near Vision 3.8
Fluency of Ideas 3.6
Visualization 3.6
Control Precision 3.1
Multilimb Coordination 3.1
Oral Comprehension 3.0
Written Comprehension 3.0
Oral Expression 3.0
Problem Sensitivity 3.0
Deductive Reasoning 3.0
Inductive Reasoning 3.0
Information Ordering 3.0
Category Flexibility 3.0
Visual Color Discrimination 3.0
Speech Recognition 3.0
Speech Clarity 3.0
Selective Attention 2.9

Knowledge

Design 3.9
Fine Arts 3.7
Sales and Marketing 3.6
English Language 3.3
Customer and Personal Service 3.3
Production and Processing 3.2
Communications and Media 2.8
Mechanical 2.8

Essential skills

Critical Thinking 3.1
Reading Comprehension 3.0
Active Listening 3.0
Speaking 3.0
Monitoring 3.0
Writing 2.8
Active Learning 2.8

Transferable skills

Social Perceptiveness 2.9
Judgment and Decision Making 2.9
Persuasion 2.8
Service Orientation 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
Facebook Web page creation and editing software Hot technology
DRAWSTITCH Artistic Sewing Suite Computer aided design CAD software
Electric Quilt Quilt Design Wizard Computer aided design CAD software
Email software Electronic mail software
Embroidery design software Computer aided design CAD software
Floriani MDQ My Decorative Quilter Computer aided design CAD software
John Hesselberth and Ron Roy GlazeMaster Analytical or scientific software
Pattern design software Computer aided design CAD software
Sales management software Point of sale POS software
SmugMug Flickr Graphics or photo imaging software
Twitter Instant messaging 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.

Determine Tasks, Priorities and Goals 4.6
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.5
E-Mail 4.4
Freedom to Make Decisions 4.4
Indoors, Environmentally Controlled 3.8
Importance of Being Exact or Accurate 3.8
Spend Time Making Repetitive Motions 3.6
Spend Time Sitting 3.6
Level of Competition 3.4
Telephone Conversations 3.4
Deal With External Customers or the Public in General 3.3
Face-to-Face Discussions with Individuals and Within Teams 3.1
Importance of Repeating Same Tasks 3.0
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 2.9
Written Letters and Memos 2.8
Exposed to Contaminants 2.7
Time Pressure 2.6
Contact With Others 2.6
Spend Time Standing 2.5
Frequency of Decision Making 2.4
Impact of Decisions on Co-workers or Company Results 2.4
Exposed to Minor Burns, Cuts, Bites, or Stings 2.4
Health and Safety of Other Workers 2.2
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.1
Public Speaking 2.1
Exposed to Hazardous Equipment 2.0
Work Outcomes and Results of Other Workers 2.0
Dealing With Unpleasant, Angry, or Discourteous People 2.0
Physical Proximity 2.0
Work With or Contribute to a Work Group or Team 1.9
Exposed to Hazardous Conditions 1.9
Indoors, Not Environmentally Controlled 1.9
Conflict Situations 1.8
Consequence of Error 1.8
Coordinate or Lead Others in Accomplishing Work Activities 1.7
Spend Time Bending or Twisting Your Body 1.6
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 1.6
Outdoors, Under Cover 1.6
Outdoors, Exposed to All Weather Conditions 1.5
Degree of Automation 1.5

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
No formal educational credential · 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: 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 26.1%
Post-Secondary Certificate 26.1%
Less than a High School Diploma 17.4%
Some College Courses 17.4%
Bachelor's Degree 8.7%
Post-Baccalaureate Certificate 4.3%

Interests & work styles

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

Interest areas

Applied Arts and Design 6.7
Visual Arts 5.5
Physical/Manual Labor 4.3
Construction/Woodwork 3.3
Marketing/Advertising 2.6
Sales 2.5
Personal Service 2.1
Public Speaking 1.8
Mechanics/Electronics 1.7

Career interests (Holland / RIASEC)

Artistic 5.9
Realistic 5.9
Enterprising 2.9
Conventional 2.7
Investigative 1.9

Work styles

Innovation 2.5
Attention to Detail 2.3

Wages & employment

U.S. · annual wages (BLS OEWS)

$23k10th$31k25th$38kMedian$52k75th$66k90th
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.
12k202412k2034 (proj.)+2.1% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $22,620
25th percentile $31,350
Median (50th) $38,480
75th percentile $52,070
90th percentile $65,850
People employed 4,370

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
Arts, Entertainment, and Recreation · Sector 1,720 $44,540
Retail Trade · Sector 1,210 $34,590
Manufacturing · Sector 480 $36,430
Information · Sector 200 $92,720
Wholesale Trade · Sector 130 $34,880
Theater Companies and Dinner Theaters · National industry 120 $60,720
Administrative and Support and Waste Management and Remediation Services · Sector 40 $81,690
Temporary Help Services · National industry 40 $81,690
Construction · Sector — $47,310
Professional, Scientific, and Technical Services · Sector — $64,800
Educational Services · Sector — $48,790
Health Care and Social Assistance · Sector — $21,840

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
Theater Companies and Dinner Theaters · National industry 58.49× 120
Arts, Entertainment, and Recreation · Sector 22.97× 1,720
Retail Trade · Sector 2.74× 1,210
Information · Sector 2.43× 200
Manufacturing · Sector 1.33× 480
Wholesale Trade · Sector 0.76× 130

Part of the Arts, Entertainment, & Design career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Craft Artists sits at the 42nd percentile of AI task-overlap and the 11th 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 Craft Artists Painting, Coating, and Decorating Workers Potters, Manufacturing Sewers, Hand Patternmakers, Wood Jewelers and Precious Stone and Metal Workers Fabric and Apparel Patternmakers Fine Artists, Including Painters, Sculptors, and Illustrators Fashion Designers 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 Craft Artists — 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.

Adjacent roles

Occupations O*NET rates as related — the nearby moves on the map.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 38th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Craft Artists show 42nd-percentile AI task overlap — and about 1,000 annual U.S. openings

  • Craft Artists rank in the 42nd 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 1,000 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 about average (+2.1%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $38,480, across about 4,370 U.S. workers.BLS OEWS (May 2024)
  • Of the AI use actually observed for this work, 42% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Craft Artists show 42nd-percentile AI task overlap — and about 1,000 annual U.S. openings

• Craft Artists rank in the 42nd 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 1,000 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 about average (+2.1%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $38,480, across about 4,370 U.S. workers. (BLS OEWS (May 2024))
• Of the AI use actually observed for this work, 42% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2)

Source: Singulariki — "Craft Artists". https://singulariki.com/roles/role-27-1012-00
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. "Craft Artists." 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-27-1012-00

APA

Singulariki. (2026). Craft Artists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-27-1012-00

BibTeX 
@misc{singulariki-role-27-1012-00,
  title  = {Craft Artists},
  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-27-1012-00}
}

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

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