Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Models
Occupation · SOC 41-9012.00
Model garments or other apparel and accessories for prospective buyers at fashion shows, private showings, or retail establishments. May pose for photos to be used in magazines or advertisements. May pose as subject for paintings, sculptures, and other types of artistic expression.
Also called: Art Model · Artist's Model · Figure Model · Model · Art Class Model · Fine Arts Model · Life Drawing Model · Nude Model · Studio Model · Undraped Artist Model · Agent Model · Character Impersonator
Job family: Sales and Related Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-41-9012-00/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.
Market signal
Independent published positions, read together — not a forecast.
- Declining employment outlook (-0.5% by 2034)
- 1,200 openings/yr
- High AI exposure
- Median pay $89,990/yr
- Can largely be done remotely (teleworkable)
- 2013 flagged this for computerization (97th); today's AI task-overlap is comparatively low (47th)
47th-percentile task overlap — yet about 1,200 openings a year (-0.5% 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.) Low | 13th | -1.1 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 34th | 0.3 | |
| AI assistant applicability (Microsoft) High | 96th | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.2), 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.
Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.
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.
| Pose for artists and photographers. | 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 | Declining · -0.5% by 2034 |
| Projected annual openings | 1,200 |
| Employment 2024 → 2034 | 6,700 → 6,700 |
“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.
Models sits at the 46th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
25% mean task exposure (2025)
46th percentile of 427 placed occupations
+16 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Fashion and Other Models · 5241 | 25% | 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 14 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Record rates of pay and durations of jobs on vouchers. Supplemental · importance 4.6
- Pose for artists and photographers, with or without clothes. Core · importance 4.4
- Gather information from agents concerning the pay, dates, times, provisions, and lengths of jobs. Supplemental · importance 4.1
- Report job completions to agencies and obtain information about future appointments. Supplemental · importance 4.0
- Assemble and maintain portfolios, print composite cards, and travel to go-sees to obtain jobs. Supplemental · importance 3.7
- Pose as directed, or strike suitable interpretive poses for promoting and selling merchandise or fashions during appearances, filming, or photo sessions. Supplemental · importance 3.6
- Follow strict routines of diet, sleep, and exercise to maintain appearance. Supplemental · importance 3.3
- Apply makeup to face and style hair to enhance appearance, considering such factors as color, camera techniques, and facial features. Supplemental · importance 3.1
- Work closely with photographers, fashion coordinators, directors, producers, stylists, make-up artists, other models, and clients to produce the desired looks, and to finish photo shoots on schedule. Supplemental · importance 3.0
- Dress in sample or completed garments, and select accessories. Supplemental · importance 2.5
- Make many quick changes backstage during fashion shows and yet maintain poised appearance before audiences. Supplemental
- Promote products and services in television commercials, on film, or in videos. Supplemental
- Stand, turn, and walk to demonstrate features of garments for observers at fashion shows, private showings, and retail establishments. Supplemental
- Wear character costumes and impersonate characters portrayed to amuse children and adults. Supplemental
Work activities
- Gather information about work conditions or locations.
- Participate in physical training to maintain fitness.
- Prepare financial documents, reports, or budgets.
- Identify job or employment opportunities.
- Report information to managers or other personnel.
- Arrange artwork, products, or props.
- Drive passenger vehicles.
- Model cosmetics, clothing, or accessories.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Transferable skills
| Social Perceptiveness | 2.9 | |
| Coordination | 2.6 | |
| Time Management | 2.5 | |
| Judgment and Decision Making | 2.1 | |
| Persuasion | 2.0 | |
| Negotiation | 2.0 |
Abilities
| Oral Comprehension | 2.9 | |
| Oral Expression | 2.8 | |
| Trunk Strength | 2.8 | |
| Gross Body Coordination | 2.8 | |
| Gross Body Equilibrium | 2.8 | |
| Speech Recognition | 2.8 | |
| Speech Clarity | 2.8 | |
| Selective Attention | 2.6 | |
| Multilimb Coordination | 2.6 | |
| Extent Flexibility | 2.6 | |
| Originality | 2.5 | |
| Written Expression | 2.4 | |
| Category Flexibility | 2.4 | |
| Near Vision | 2.4 | |
| Written Comprehension | 2.3 | |
| Fluency of Ideas | 2.3 | |
| Problem Sensitivity | 2.3 | |
| Inductive Reasoning | 2.3 | |
| Stamina | 2.3 | |
| Far Vision | 2.3 | |
| Visual Color Discrimination | 2.3 | |
| Information Ordering | 2.1 | |
| Visualization | 2.1 | |
| Time Sharing | 2.1 | |
| Deductive Reasoning | 2.0 | |
| Dynamic Strength | 2.0 |
Essential skills
| Active Listening | 2.8 | |
| Speaking | 2.8 | |
| Critical Thinking | 2.6 | |
| Reading Comprehension | 2.5 | |
| Writing | 2.0 |
Knowledge
| Customer and Personal Service | 2.7 | |
| English Language | 2.5 | |
| Fine Arts | 2.4 |
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 | |
|---|---|---|
| Apple iOS | Operating system software | Hot technology |
| Apple Safari | Internet browser software | Hot technology |
| Web page creation and editing software | Hot technology | |
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Office software | Office suite software | Hot technology |
| Microsoft PowerPoint | Presentation software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Instant messaging software | ||
| Web page creation and editing software | ||
| Tumblr | Web page creation and editing software | |
| Instant messaging software | ||
| Web browser software | Internet browser software | |
| YouTube | Video creation and editing 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.
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
- No formal educational credential · 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: Business, Management, Marketing, and Related 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 | 76.3% | |
| Less than a High School Diploma | 17.4% | |
| Bachelor's Degree | 3.9% | |
| Some College Courses | 2.4% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Artistic | 6.9 | |
| Realistic | 5.0 | |
| Enterprising | 3.7 | |
| Social | 2.5 | |
| Conventional | 2.3 |
Interest areas
| Applied Arts and Design | 4.7 | |
| Visual Arts | 4.4 | |
| Marketing/Advertising | 4.1 | |
| Performing Arts | 3.8 | |
| Media | 2.6 | |
| Sales | 2.0 | |
| Public Speaking | 1.9 | |
| Personal Service | 1.6 | |
| Physical/Manual Labor | 1.6 |
Work styles
| Self-Confidence | 2.3 | |
| Social Orientation | 1.9 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $38,010 |
| 25th percentile | $45,760 |
| Median (50th) | $89,990 |
| 75th percentile | $89,990 |
| 90th percentile | $124,380 |
| People employed | 5,350 |
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 |
|---|---|---|
| Educational Services · Sector | 1,210 | $43,310 |
| Health Care and Social Assistance · Sector | 560 | $46,870 |
| Information · Sector | 390 | $124,380 |
| Professional, Scientific, and Technical Services · Sector | 140 | $64,820 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 140 | — |
| Wholesale Trade · Sector | — | $57,600 |
| Retail Trade · Sector | — | $43,670 |
| Management of Companies and Enterprises · Sector | — | $53,220 |
| Arts, Entertainment, and Recreation · Sector | — | $89,990 |
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 |
|---|---|---|
| Information · Sector | 3.87× | 390 |
| Educational Services · Sector | 2.56× | 1,210 |
| Health Care and Social Assistance · Sector | 0.7× | 560 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 0.45× | 140 |
| Professional, Scientific, and Technical Services · Sector | 0.37× | 140 |
Related occupations
Part of the Arts, Entertainment, & Design career cluster.
- Fine Artists, Including Painters, Sculptors, and Illustrators · 27-1013.00 Compare →
- Makeup Artists, Theatrical and Performance · 39-5091.00 Compare →
- Photographers · 27-4021.00 Compare →
- Costume Attendants · 39-3092.00 Compare →
- Craft Artists · 27-1012.00 Compare →
- Camera Operators, Television, Video, and Film · 27-4031.00 Compare →
- Demonstrators and Product Promoters · 41-9011.00 Compare →
- Fashion Designers · 27-1022.00 Compare →
- Actors · 27-2011.00 Compare →
- Dancers · 27-2031.00 Compare →
- Talent Directors · 27-2012.04 Compare →
- Merchandise Displayers and Window Trimmers · 27-1026.00 Compare →
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 Models — 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.
- No formal educational credential · typical entry level
- Job zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed · preparation tier
- Business, Management, Marketing, and Related Support Services · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 46th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Models show 47th-percentile AI task overlap — and about 1,200 annual U.S. openings
- Models rank in the 47th 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 1,200 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 (-0.5%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $89,990, across about 5,350 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Models show 47th-percentile AI task overlap — and about 1,200 annual U.S. openings • Models rank in the 47th 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 1,200 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 (-0.5%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $89,990, across about 5,350 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Models". https://singulariki.com/roles/role-41-9012-00 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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Models." 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-41-9012-00
APA
Singulariki. (2026). Models. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-41-9012-00
BibTeX
@misc{singulariki-role-41-9012-00,
title = {Models},
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-41-9012-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.