How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Apply makeup to enhance or alter the appearance of people appearing in productions such as movies.76
- Alter or maintain makeup during productions as necessary to compensate for lighting changes or to achieve continuity of effect.76
- Duplicate work precisely to replicate characters' appearances on a daily basis.76
- Select desired makeup shades from stock, or mix oil, grease, and coloring to achieve specific color effects.76
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Cleanse and tone the skin to prepare it for makeup application.01
- Examine sketches, photographs, and plaster models to obtain desired character image depiction.02
- Apply makeup to enhance or alter the appearance of people appearing in productions such as movies.03
- Alter or maintain makeup during productions as necessary to compensate for lighting changes or to achieve continuity of effect.04
- Duplicate work precisely to replicate characters' appearances on a daily basis.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Costume Attendants
Closely related work
Compare these careers →Fine Artists, Including Painters, Sculptors, and Illustrators
Related work
Compare these careers →Fashion Designers
Related work
Compare these careers →Special Effects Artists and Animators
Shares some work
Compare these careers →Photographers
Shares some work
Compare these careers →Jewelers and Precious Stone and Metal Workers
Shares some work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
