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Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Task-level automation exposure for Makeup Artists, Theatrical and Performance: 22 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
22 of 22 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
2,340 people hold this job — size, not growth
Projected 2025–35
600 openings a year · BLS line item
BLS OEWS publishes 6 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$82,400 – $143,230
Highest medians
Lowest medians
State figures come from the 39-5091 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
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.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
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.
22 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
6 tasks
7 tasks
9 tasks
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 →Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
Clean and sanitize supplies, such as makeup brushes.
Replaced: Clean supplies such as makeup brushes.
Clean supplies such as makeup brushes.
physical manipulation — Tool cleaning is physical manipulation
Duplicate work precisely to replicate characters' appearances on a daily basis.
physical manipulation — Makeup application requires fine manual dexterity
Apply makeup to enhance or alter the appearance of people appearing in productions such as movies.
physical manipulation — Makeup application requires fine manual dexterity
Analyze a script, noting events that affect each character's appearance, so that plans can be made for each scene.
information retrieval — Extract requirements from production docs, human tailors
Alter or maintain makeup during productions as necessary to compensate for lighting changes or to achieve continuity of effect.
physical manipulation — Makeup application requires fine manual dexterity
Confer with stage or motion picture officials and performers to determine desired effects.
interpersonal — Live collaborative negotiation of production details needs human presence
Requisition or acquire needed materials for special effects, including wigs, beards, and special cosmetics.
decision support — Ordering via systems automatable; human approves spend
Study production information, such as character descriptions, period settings, and situations, to determine makeup requirements.
information retrieval — Extract requirements from production docs, human tailors
Establish budgets, and work within budgetary limits.
data analysis — Budget management aided by AI, human owns decisions
Select desired makeup shades from stock, or mix oil, grease, and coloring to achieve specific color effects.
physical manipulation — Makeup application requires fine manual dexterity
Write makeup sheets and take photos to document specific looks and the products used to achieve the looks.
text generation — Prepare operational reports from data
Assess performers' skin type to ensure that makeup will not cause break-outs or skin irritations.
visual inspection — Skin/hair assessment needs in-person visual and tactile exam
Attach prostheses to performers and apply makeup to create special features or effects, such as scars, aging, or illness.
physical manipulation — Makeup application requires fine manual dexterity
Examine sketches, photographs, and plaster models to obtain desired character image depiction.
information retrieval — Extract requirements from production docs, human tailors
Cleanse and tone the skin to prepare it for makeup application.
physical manipulation — Applying agents to hair and skin is hands-on care
Evaluate environmental characteristics, such as venue size and lighting plans, to determine makeup requirements.
information retrieval — Extract requirements from production docs, human tailors
Provide performers with makeup removal assistance after performances have been completed.
physical manipulation — Makeup application requires fine manual dexterity
Design rubber or plastic prostheses that can be used to change performers' appearances.
text generation — Costume concepts generated; physical fabrication human
Create character drawings or models, based upon independent research, to augment period production files.
text generation — Costume concepts generated; physical fabrication human
Demonstrate products to clients, and provide instruction in makeup application.
interpersonal — Hygiene teaching is interpersonal and situational
Advise hairdressers on the hairstyles required for character parts.
interpersonal — Live collaborative negotiation of production details needs human presence
Wash and reset wigs.
physical manipulation — Wig grooming needs fine manual dexterity
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
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
See the full method →Related Article
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