Administradores Educativos
GerenciaExposición 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
0.052
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
0.36
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 60% 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 29 tareas ocultas| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Counsel and provide guidance to students regarding personal, academic, vocational, or behavioral issues.11-9032 | 0.260053.1 | 0.020020.0 |
Teach classes or courses to students.11-9032 | 0.230046.9 | 0.050050.0 |
Evaluate curricula, teaching methods, and programs to determine their effectiveness, efficiency, and use, and to ensure compliance with federal, state, and local regulations. | —0 | 0.030030.0 |
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 |
|---|---|
Write articles, manuals, and other publications, and assist in the distribution of promotional literature about facilities and programs.O*NET Task ID 5230 | 1.0 |
Review and approve new programs, or recommend modifications to existing programs, submitting program proposals for school board approval as necessary.O*NET Task ID 5210 | 0.5 |
Prepare, maintain, or oversee the preparation and maintenance of attendance, activity, planning, or personnel reports and records.O*NET Task ID 5211 | 0.5 |
Prepare and submit budget requests and recommendations, or grant proposals to solicit program funding.O*NET Task ID 5213 | 0.5 |
Direct and coordinate school maintenance services and the use of school facilities.O*NET Task ID 5214 | 0.5 |
Advocate for new schools to be built, or for existing facilities to be repaired or remodeled.O*NET Task ID 5218 | 0.5 |
Plan and develop instructional methods and content for educational, vocational, or student activity programs.O*NET Task ID 5219 | 0.5 |
Develop partnerships with businesses, communities, and other organizations to help meet identified educational needs and to provide school-to-work programs.O*NET Task ID 5220 | 0.5 |
Direct and coordinate activities of teachers, administrators, and support staff at schools, public agencies, and institutions.O*NET Task ID 5221 | 0.5 |
Evaluate curricula, teaching methods, and programs to determine their effectiveness, efficiency, and use, and to ensure compliance with federal, state, and local regulations.O*NET Task ID 5222 | 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