Maquiadores
Artes, Design, Entretenimento e MídiaExposição à IA
- Fonte dos dados: BLSPublicado: 2026-08
Moderado· relativa
BaixoQuatro faixas relativasMuito altoValor por grupo ocupacional
Escala, base e fonte
Quatro faixas relativas (Baixo / Moderado / Alto / Muito alto)
831 ocupações detalhadas da tabela de projeções de emprego do BLS. O valor é atribuído por código da National Employment Matrix (NEM), pelo que as ocupações que partilham um código NEM recebem a mesma banda
- Fonte dos dados: AnthropicPublicado: 2026-03
0.000
0.000Intervalo dos valores aqui apresentados0.745Escala, base e fonte
Índice de exposição observada, 0–1 tal como publicado
Mapeado sobre tarefas O*NET
- Fonte dos dados: ILOPublicado: 2025
0.18
0.09Intervalo dos valores aqui apresentados0.70Valor por grupo ocupacional
Escala, base e fonte
Índice de exposição à IA generativa, 0–1 tal como publicado
Grupo de base CITP-08 — todas as ocupações com o mesmo código recebem este valor
Calculado por este site, não publicado pela OIT: das 1.012 ocupações que este site liga ao conjunto de dados da OIT, 90% atingem ou superam este valor.
Que tipo de valor esta fonte publica
A categoria de BLS é uma posição relativa, não um nível absoluto, e também não é uma medição de primeira mão: agrupa em quatro faixas as posições percentis da ocupação em vários estudos publicados. Não é uma previsão de emprego ou de salários, não é uma probabilidade de adoção e não distingue automação de aumento.
Task-level exposure
| Task | APIRaw / share % |
|---|---|
Confer with stage or motion picture officials and performers to determine desired effects.39-5091 | 0.00000.0 |
| Not observed on any surface — 21 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Duplicate work precisely to replicate characters' appearances on a daily basis. | —0 |
Establish budgets, and work within budgetary limits. | —0 |
Apply makeup to enhance or alter the appearance of people appearing in productions such as movies. | —0 |
Alter or maintain makeup during productions as necessary to compensate for lighting changes or to achieve continuity of effect. | —0 |
Select desired makeup shades from stock, or mix oil, grease, and coloring to achieve specific color effects. | —0 |
Cleanse and tone the skin to prepare it for makeup application. | —0 |
Assess performers' skin type to ensure that makeup will not cause break-outs or skin irritations. | —0 |
Analyze a script, noting events that affect each character's appearance, so that plans can be made for each scene. | —0 |
Requisition or acquire needed materials for special effects, including wigs, beards, and special cosmetics. | —0 |
Write makeup sheets and take photos to document specific looks and the products used to achieve the looks. | —0 |
Examine sketches, photographs, and plaster models to obtain desired character image depiction. | —0 |
Attach prostheses to performers and apply makeup to create special features or effects, such as scars, aging, or illness. | —0 |
Evaluate environmental characteristics, such as venue size and lighting plans, to determine makeup requirements. | —0 |
Design rubber or plastic prostheses that can be used to change performers' appearances. | —0 |
Create character drawings or models, based upon independent research, to augment period production files. | —0 |
Study production information, such as character descriptions, period settings, and situations, to determine makeup requirements. | —0 |
Provide performers with makeup removal assistance after performances have been completed. | —0 |
Demonstrate products to clients, and provide instruction in makeup application. | —0 |
Clean supplies such as makeup brushes. | —0 |
Advise hairdressers on the hairstyles required for character parts. | —0 |
Wash and reset wigs. | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Study production information, such as character descriptions, period settings, and situations, to determine makeup requirements.O*NET Task ID 14814 | 1.0 |
Duplicate work precisely to replicate characters' appearances on a daily basis.O*NET Task ID 14798 | 0.5 |
Establish budgets, and work within budgetary limits.O*NET Task ID 14799 | 0.5 |
Apply makeup to enhance or alter the appearance of people appearing in productions such as movies.O*NET Task ID 14800 | 0.5 |
Alter or maintain makeup during productions as necessary to compensate for lighting changes or to achieve continuity of effect.O*NET Task ID 14801 | 0.5 |
Analyze a script, noting events that affect each character's appearance, so that plans can be made for each scene.O*NET Task ID 14805 | 0.5 |
Write makeup sheets and take photos to document specific looks and the products used to achieve the looks.O*NET Task ID 14807 | 0.5 |
Examine sketches, photographs, and plaster models to obtain desired character image depiction.O*NET Task ID 14808 | 0.5 |
Attach prostheses to performers and apply makeup to create special features or effects, such as scars, aging, or illness.O*NET Task ID 14809 | 0.5 |
Evaluate environmental characteristics, such as venue size and lighting plans, to determine makeup requirements.O*NET Task ID 14810 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page