Tutores

Educación y Formación

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

    0.408

    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

    0.33

    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 63% 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

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.

TaskβE1 + 0.5 × E2
Participate in training and development sessions to improve tutoring practices or learn new tutoring techniques.

O*NET Task ID 17023

1.0
Maintain records of students' assessment results, progress, feedback, or school performance, ensuring confidentiality of all records.

O*NET Task ID 17029

1.0
Develop teaching or training materials, such as handouts, study materials, or quizzes.

O*NET Task ID 17031

1.0
Schedule tutoring appointments with students or their parents.

O*NET Task ID 17020

0.5
Research or recommend textbooks, software, equipment, or other learning materials to complement tutoring.

O*NET Task ID 17021

0.5
Prepare and facilitate tutoring workshops, collaborative projects, or academic support sessions for small groups of students.

O*NET Task ID 17022

0.5
Monitor student performance or assist students in academic environments, such as classrooms, laboratories, or computing centers.

O*NET Task ID 17025

0.5
Review class material with students by discussing text, working solutions to problems, or reviewing worksheets or other assignments.

O*NET Task ID 17026

0.5
Provide feedback to students, using positive reinforcement techniques to encourage, motivate, or build confidence in students.

O*NET Task ID 17027

0.5
Prepare lesson plans or learning modules for tutoring sessions according to students' needs and goals.

O*NET Task ID 17028

0.5
Travel to students' homes, libraries, or schools to conduct tutoring sessions.

O*NET Task ID 17019

0.0
Organize tutoring environment to promote productivity and learning.

O*NET Task ID 17024

0.0

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: Anthropic Economic Index report (Mar 2026): on Claude.ai, only 12% of Tutor tasks use the top-tier Opus model, against 34% of Software Developer tasks; among paid users, 45% of educational tasks use Opus versus 55% of computer and math tasks. Coursework fell from 19% to 12% of Claude.ai conversations between November 2025 and February 2026, partly because of academic calendars.

[Fuente: Anthropic Economic Index (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.