Will AI replace Makeup Artists, Theatrical and Performance?
Estimated risk score: 22 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (3 to 41).
For the occupation as a whole, from ratings of its 21 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 39-5091.00 · Personal Care and Service
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 2 of its 21 rated tasks. In O*NET’s words.
- Write makeup sheets and take photos to document specific looks and the products used to achieve the looks.
- Study production information, such as character descriptions, period settings, and situations, to determine makeup requirements.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 8 of its 21 rated tasks; the first 6 are shown. In O*NET’s words.
- Assess performers' skin type to ensure that makeup will not cause break-outs or skin irritations.
- Cleanse and tone the skin to prepare it for makeup application.
- Demonstrate products to clients, and provide instruction in makeup application.
- Provide performers with makeup removal assistance after performances have been completed.
- Select desired makeup shades from stock, or mix oil, grease, and coloring to achieve specific color effects.
- Confer with stage or motion picture officials and performers to determine desired effects.
What the job is
Apply makeup to performers to reflect period, setting, and situation of their role.
Also called: Makeup Artist (MUA), Special Effects Makeup Artist (Special Effects MUA), TV and Film Makeup Artist (Television and Film Makeup Artist), MUA, Body MUA, Lash Artist, Makeup Tech, Eyelash Tech.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate