Estrategas de Contenido

Artes, Diseño, Entretenimiento y Medios

Exposición a la IA

  • Fuente de datos: BLSPublicado: 2026-08

    Muy alto· relativa

    BajoCuatro bandas relativasMuy alto

    Valor 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

    Conjunto de datos de origen (descarga XLSX)

  • Fuente de datos: AnthropicPublicado: 2026-03

    0.475

    0.000Rango de los valores aquí recogidos0.745
    Escala, base y fuente

    Índice de exposición observada, 0–1 tal como se publica

    Mapeado sobre tareas de O*NET

    Conjunto de datos de origen

  • Fuente de datos: ILOPublicado: 2025

    0.55

    0.09Rango de los valores aquí recogidos0.70

    Valor 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 12% alcanza o supera este valor.

    Conjunto de datos de origen

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

Solo tareas expuestas
TaskClaude.aiRaw / share %APIRaw / share %
Edit, standardize, or make changes to material prepared by other writers or establishment personnel.

27-3042

1.057780.70.179971.2
Organize material and complete writing assignment according to set standards regarding order, clarity, conciseness, style, and terminology.

27-3042

0.172113.10.044117.4
Review published materials and recommend revisions or changes in scope, format, content, and methods of reproduction and binding.

27-3042

0.04643.50.00512.0
Assist in laying out material for publication.

27-3042

0.01261.00.00552.2
Select photographs, drawings, sketches, diagrams, and charts to illustrate material.

27-3042

0.00900.70.00963.8
Analyze developments in specific field to determine need for revisions in previously published materials and development of new material.

27-3042

0.00820.60.00853.4
Develop or maintain online help documentation.

27-3042

0.00210.2—0
Arrange for typing, duplication, and distribution of material.

27-3042

0.00180.1—0
Not observed on any surface — 7 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.
Maintain records and files of work and revisions.
—0—0
Confer with customer representatives, vendors, plant executives, or publisher to establish technical specifications and to determine subject material to be developed for publication.
—0—0
Study drawings, specifications, mockups, and product samples to integrate and delineate technology, operating procedure, and production sequence and detail.
—0—0
Interview production and engineering personnel and read journals and other material to become familiar with product technologies and production methods.
—0—0
Observe production, developmental, and experimental activities to determine operating procedure and detail.
—0—0
Review manufacturer's and trade catalogs, drawings and other data relative to operation, maintenance, and service of equipment.
—0—0
Draw sketches to illustrate specified materials or assembly sequence.
—0—0

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

Información ocupacional

Cambios recientes relacionados con esta ocupación

mar 2026: Gupta & Kumar (arXiv, Mar 2026) give Market Research Analysts an Agentic Task Exposure (ATE) score of 0.43 by 2027 in the San Francisco Bay Area (Tier 1), rising to 0.47 by 2030. That crosses the moderate-risk threshold (0.35) in 2027, when Tier 2 metros (Seattle, Austin, Boston) have no crossings yet.

[Fuente: arXiv 2604.00186 (Gupta & Kumar, 2026)]

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