Secretarios y Asistentes Administrativos
Oficina y Apoyo AdministrativoExposición a la IA
- Fuente de datos: BLSPublicado: 2026-08
Muy 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
0.453
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
0.58
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 5% 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 3 tareas ocultasValues 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 |
|---|---|
Open, read, route, and distribute incoming mail or other materials and answer routine letters.O*NET Task ID 2794 | 1.0 |
Complete forms in accordance with company procedures.O*NET Task ID 2795 | 1.0 |
Review work done by others to check for correct spelling and grammar, ensure that company format policies are followed, and recommend revisions.O*NET Task ID 2797 | 1.0 |
Conduct searches to find needed information, using such sources as the Internet.O*NET Task ID 2805 | 1.0 |
Take dictation in shorthand or by machine and transcribe information.O*NET Task ID 2811 | 1.0 |
Use computers for various applications, such as database management or word processing.O*NET Task ID 20280 | 1.0 |
Create, maintain, and enter information into databases.O*NET Task ID 20281 | 1.0 |
Set up and manage paper or electronic filing systems, recording information, updating paperwork, or maintaining documents, such as attendance records, correspondence, or other material.O*NET Task ID 20282 | 1.0 |
Compose, type, and distribute meeting notes, routine correspondence, or reports, such as presentations or expense, statistical, or monthly reports.O*NET Task ID 20284 | 1.0 |
Develop or maintain internal or external company Web sites.O*NET Task ID 20288 | 1.0 |
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®, Eloundou et al. (2023): see full notices on the Credits page
Información ocupacional
Cambios recientes relacionados con esta ocupación
mar 2026: ILO occupational segregation report identifies secretaries among high-risk clerical roles with routine codifiable tasks; 16% automation risk in female-dominated occupations vs 3% male-dominated
[Fuente: ILO: Gen AI, Occupational Segregation and Gender Equality (Mar 2026)]mar 2026: ILO finds 88% of countries show women facing higher AI workplace risk; administrative roles among most exposed with 29% GenAI exposure in female-dominated occupations
[Fuente: ILO: Gen AI, Occupational Segregation and Gender Equality (Mar 2026)]mar 2026: ILO research brief (Mar 2026): female-dominated occupations, such as business administration and clerical support, are almost twice as likely to be exposed to generative AI as male-dominated ones (29% vs 16%), and face much higher automation risk (16% vs 3%).
[Fuente: ILO Research Brief, March 2026]These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.