Cientificos Atmosfericos

Ciencias de la Vida, Físicas y Sociales

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

    0.038

    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

    0.54

    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 13% 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 %
Interpret data, reports, maps, photographs, or charts to predict long- or short-range weather conditions, using computer models and knowledge of climate theory, physics, and mathematics.

19-2021

0.070858.5
Prepare weather reports or maps for analysis, distribution, or use in weather broadcasts, using computer graphics.

19-2021

0.016613.8
Gather data from sources such as surface or upper air stations, satellites, weather bureaus, or radar for use in meteorological reports or forecasts.

19-2021

0.00766.3
Prepare scientific atmospheric or climate reports, articles, or texts.

19-2021

0.00746.1
Conduct meteorological research into the processes or determinants of atmospheric phenomena, weather, or climate.

19-2021

0.00705.8
Apply meteorological knowledge to issues such as global warming, pollution control, or ozone depletion.

19-2021

0.00332.7
Design or develop new equipment or methods for meteorological data collection, remote sensing, or related applications.

19-2021

0.00272.2
Estimate or predict the effects of global warming over time for specific geographic regions.

19-2021

0.00221.8
Create visualizations to illustrate historical or future changes in the Earth's climate, using paleoclimate or climate geographic information systems (GIS) databases.

19-2021

0.00171.4
Analyze historical climate information, such as precipitation or temperature records, to help predict future weather or climate trends.

19-2021

0.00171.4
Not observed on any surface — 14 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.
Broadcast weather conditions, forecasts, or severe weather warnings to the public via television, radio, or the Internet or provide this information to the news media.
—0
Prepare forecasts or briefings to meet the needs of industry, business, government, or other groups.
—0
Measure wind, temperature, and humidity in the upper atmosphere, using weather balloons.
—0
Direct forecasting services at weather stations or at radio or television broadcasting facilities.
—0
Conduct numerical simulations of climate conditions to understand and predict global or regional weather patterns.
—0
Analyze climate data sets, using techniques such as geophysical fluid dynamics, data assimilation, or numerical modeling.
—0
Formulate predictions by interpreting environmental data, such as meteorological, atmospheric, oceanic, paleoclimate, climate, or related information.
—0
Perform managerial duties, such as creating work schedules, creating or implementing staff training, matching staff expertise to situations, or analyzing performance of offices.
—0
Consult with other offices, agencies, professionals, or researchers regarding the use and interpretation of climatological information for weather predictions and warnings.
—0
Develop or use mathematical or computer models for weather forecasting.
—0
Research the impact of industrial projects or pollution on climate, air quality, or weather phenomena.
—0
Collect air samples from planes or ships over land or sea to study atmospheric composition.
—0
Conduct wind assessment, integration, or validation studies.
—0
Teach college-level courses on topics such as atmospheric and space science, meteorology, or global climate change.
—0

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

Información ocupacional