Artistas Conceptuales
Artes, Diseño, Entretenimiento y MediosExposición a la IA
- Fuente de datos: BLSPublicado: 2026-08
Alto· relativa
BajoCuatro bandas relativasMuy altoValor por grupo ocupacional
Escala, base y fuente
Cuatro bandas relativas (Bajo / Moderado / Alto / Muy alto)
831 ocupaciones detalladas de la tabla de proyecciones de empleo de BLS. El valor se asigna por código de la National Employment Matrix (NEM), de modo que las ocupaciones que comparten un código NEM reciben la misma banda
- Fuente de datos: AnthropicPublicado: 2026-03
0.356
0.000Rango de los valores aquí recogidos0.745Escala, base y fuente
Índice de exposición observada, 0–1 tal como se publica
Mapeado sobre tareas de O*NET
- Fuente de datos: ILOPublicado: 2025
0.21
0.09Rango de los valores aquí recogidos0.70Valor por grupo ocupacional
Escala, base y fuente
Índice de exposición a la IA generativa, 0–1 tal como se publica
Grupo primario de la CIUO-08 — todas las ocupaciones con ese código reciben este valor
Calculado por este sitio, no publicado por la OIT: de las 1012 ocupaciones que este sitio vincula al conjunto de datos de la OIT, un 82% alcanza o supera este valor.
Qué tipo de cifra publica esta fuente
La categoría de BLS es un rango relativo, no un nivel absoluto, y tampoco es una medición de primera mano: agrupa en cuatro bandas los rangos percentiles de la ocupación en varios estudios publicados. No es una previsión de empleo ni de salarios, no es una probabilidad de adopción y no distingue entre automatización y aumento.
Task-level exposure
Ver 26 tareas ocultas| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Integrate and develop visual elements, such as line, space, mass, color, and perspective, to produce desired effects, such as the illustration of ideas, emotions, or moods.27-1013 | 0.130086.7 | 0.2100100.0 |
Develop project budgets for approval, estimating time lines and material costs.27-1013 | 0.020013.3 | 0.00000.0 |
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 |
|---|---|
Use materials such as pens and ink, watercolors, charcoal, oil, or computer software to create artwork.O*NET Task ID 10989 | 0.5 |
Integrate and develop visual elements, such as line, space, mass, color, and perspective, to produce desired effects, such as the illustration of ideas, emotions, or moods.O*NET Task ID 10990 | 0.5 |
Confer with clients, editors, writers, art directors, and other interested parties regarding the nature and content of artwork to be produced.O*NET Task ID 10991 | 0.5 |
Submit preliminary or finished artwork or project plans to clients for approval, incorporating changes as necessary.O*NET Task ID 10992 | 0.5 |
Maintain portfolios of artistic work to demonstrate styles, interests, and abilities.O*NET Task ID 10993 | 0.5 |
Create finished art work as decoration, or to elucidate or substitute for spoken or written messages.O*NET Task ID 10994 | 0.5 |
Monitor events, trends, and other circumstances, research specific subject areas, attend art exhibitions, and read art publications to develop ideas and keep current on art world activities.O*NET Task ID 10996 | 0.5 |
Study different techniques to learn how to apply them to artistic endeavors.O*NET Task ID 10997 | 0.5 |
Render drawings, illustrations, and sketches of buildings, manufactured products, or models, working from sketches, blueprints, memory, models, or reference materials.O*NET Task ID 10998 | 0.5 |
Create sketches, profiles, or likenesses of posed subjects or photographs, using any combination of freehand drawing, mechanical assembly kits, and computer imaging.O*NET Task ID 10999 | 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