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Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Will AI Replace Models?
Task-level automation exposure for Models: 10 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
25%
weighted task index
10 of 10 tasks scored
Median Salary
$48,470 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Low
3,780 people hold this job — size, not growth
Projected 2025–35
-2.1%
employment change
700 openings a year · BLS line item
Pay by state
BLS OEWS publishes 16 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$15,080 – $109,910
Highest medians
Arizona $109,910
New York $107,280
New Jersey $60,520
California $57,400
Illinois $53,280
Lowest medians
Georgia $15,080
Missouri $34,610
New Hampshire $39,890
Nebraska $41,600
Ohio $42,550
State figures come from the 41-9012 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 25%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 18%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 0%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 12%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 7/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
10 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 22%
2 tasks
Medium exposure (≥ 35%) 10%
1 tasks
Low exposure (below 35%) 68%
7 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#23931 · Core · 5% automatable
Pose for artists and photographers.
physical manipulation — Physical modeling presence is the work
Model cosmetics, clothing, or accessories.
#13217 · Supplemental · 78% automatable
Record rates of pay and durations of jobs on vouchers.
data analysis — Reports and budgets drafted; human owns assumptions
Prepare financial documents, reports, or budgets.
#13215 · Supplemental · 45% automatable
Gather information from agents concerning the pay, dates, times, provisions, and lengths of jobs.
situated mobility — Work conditions require physical site assessment
Gather information about work conditions or locations.
#13218 · Supplemental · 74% automatable
Report job completions to agencies and obtain information about future appointments.
information retrieval — AI searches job listings and matches opportunities
Identify job or employment opportunities. Report information to managers or other personnel.
#13219 · Supplemental · 8% automatable
Assemble and maintain portfolios, print composite cards, and travel to go-sees to obtain jobs.
situated mobility — Driving passenger vehicles needs real-world control
Arrange artwork, products, or props. Drive passenger vehicles.
#13225 · Supplemental · 5% automatable
Pose as directed, or strike suitable interpretive poses for promoting and selling merchandise or fashions during appearances, filming, or photo sessions.
physical manipulation — Physical modeling presence is the work
Model cosmetics, clothing, or accessories.
#13216 · Supplemental · 2% automatable
Follow strict routines of diet, sleep, and exercise to maintain appearance.
situated mobility — Physical training requires a human body
Participate in physical training to maintain fitness.
#13221 · Supplemental · 5% automatable
Apply makeup to face and style hair to enhance appearance, considering such factors as color, camera techniques, and facial features.
physical manipulation — Physical modeling presence is the work
Model cosmetics, clothing, or accessories.
#13220 · Supplemental · 5% automatable
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.
physical manipulation — Physical modeling presence is the work
Model cosmetics, clothing, or accessories.
#13226 · Supplemental · 5% automatable
Dress in sample or completed garments, and select accessories.
physical manipulation — Physical modeling presence is the work
Model cosmetics, clothing, or accessories.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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