Ingenieros de Busqueda

Informática y Matemáticas

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

    0.288

    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

    0.53

    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 14% 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

Ver 9 tareas ocultas
TaskClaude.aiRaw / share %APIRaw / share %
Modify existing software to correct errors, adapt it to new hardware, or upgrade interfaces and improve performance.

15-1252

0.200057.10.340073.9
Prepare reports or correspondence concerning project specifications, activities, or status.

15-1252

0.050014.30.02004.3
Consult with customers or other departments on project status, proposals, or technical issues, such as software system design or maintenance.

15-1252

0.040011.40.02004.3
Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system.

15-1252

0.03008.60.03006.5
Analyze user needs and software requirements to determine feasibility of design within time and cost constraints.

15-1252

0.01002.90.02004.3
Store, retrieve, and manipulate data for analysis of system capabilities and requirements.

15-1252

0.01002.90.02004.3
Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design.

15-1252

0.01002.90.00000.0
Obtain and evaluate information on factors such as reporting formats required, costs, or security needs to determine hardware configuration.
—00.01002.2

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

jul 2026: ADP/Stanford linked postings-payroll study of ~7,000 IT workers (2019-2025) prices tasks separately within IT jobs. Advising others on the design or use of technologies is among 8 higher-wage activities; five tasks lost compensation value in 2023-2025 vs 2019-2022, including "develop models of systems, processes, or products." Effect sizes were not published.

[Fuente: ADP Research / Stanford Digital Economy Lab, Unbundling Jobs (July 2026)]

mar 2026: EIG (Mar 2026) argues the weakness in young adults' labor market is about age, not education: young workers of all education levels lag the rest of the labor market, which does not fit the media narrative of AI displacing computer science majors and entry-level graduates.

[Fuente: EIG: AI and Young-Adult Jobs (March 2026)]

mar 2026: Brookings (Mar 2026) says research on AI and the labor market is still in its first inning, and studies disagree: ADP payroll data show employment fell more for young workers in high-AI-exposure occupations, while CPS data show unemployment rose less for workers in more exposed occupations.

[Fuente: Brookings Institution]

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.