気候科学者

生命・物理・社会科学

AI露出度

  • データ出典: BLS公表時点: 2026-08

    非常に高い· 相対

    低い4段階の相対区分非常に高い

    職業群単位の値

    尺度・母数・出典

    4段階の相対区分(低い / 中程度 / 高い / 非常に高い)

    BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります

    出典データセット(XLSX ファイルのダウンロード)

  • データ出典: Anthropic公表時点: 2026-03

    0.038

    0.000ここに掲載された値の範囲0.745
    尺度・母数・出典

    観測エクスポージャー指数、公開されたまま0–1

    O*NETタスクへの対応づけが基準

    出典データセット

  • データ出典: ILO公表時点: 2025

    0.54

    0.09ここに掲載された値の範囲0.70

    職業群単位の値

    尺度・母数・出典

    生成AI露出度指数、公開されたまま0–1

    ISCO-08の職業小分類単位 — 同じコードの職業はすべて同じ値

    当サイトの算出であり、ILOが公表した数値ではありません。当サイトがILOデータセットに結び付けた職業1,012件のうち、この値以上のものは13%です。

    出典データセット

この出典がどのような性格の値か

BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。

Task-level exposure

露出のある作業のみ
TaskClaude.aiRaw / share %APIRaw / 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

0.020735.0—0
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

0.012120.40.004466.7
Conduct meteorological research into the processes or determinants of atmospheric phenomena, weather, or climate.

19-2021

0.007412.50.002233.3
Design or develop new equipment or methods for meteorological data collection, remote sensing, or related applications.

19-2021

0.00508.4—0
Prepare weather reports or maps for analysis, distribution, or use in weather broadcasts, using computer graphics.

19-2021

0.00447.4—0
Prepare scientific atmospheric or climate reports, articles, or texts.

19-2021

0.00427.1—0
Formulate predictions by interpreting environmental data, such as meteorological, atmospheric, oceanic, paleoclimate, climate, or related information.

19-2021

0.00203.4—0
Consult with other offices, agencies, professionals, or researchers regarding the use and interpretation of climatological information for weather predictions and warnings.

19-2021

0.00183.0—0
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.

19-2021

0.00162.7—0
Not observed on any surface — 15 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.
Prepare forecasts or briefings to meet the needs of industry, business, government, or other groups.
—0—0
Measure wind, temperature, and humidity in the upper atmosphere, using weather balloons.
—0—0
Direct forecasting services at weather stations or at radio or television broadcasting facilities.
—0—0
Conduct numerical simulations of climate conditions to understand and predict global or regional weather patterns.
—0—0
Analyze climate data sets, using techniques such as geophysical fluid dynamics, data assimilation, or numerical modeling.
—0—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—0
Analyze historical climate information, such as precipitation or temperature records, to help predict future weather or climate trends.
—0—0
Apply meteorological knowledge to issues such as global warming, pollution control, or ozone depletion.
—0—0
Develop or use mathematical or computer models for weather forecasting.
—0—0
Research the impact of industrial projects or pollution on climate, air quality, or weather phenomena.
—0—0
Collect air samples from planes or ships over land or sea to study atmospheric composition.
—0—0
Conduct wind assessment, integration, or validation studies.
—0—0
Create visualizations to illustrate historical or future changes in the Earth's climate, using paleoclimate or climate geographic information systems (GIS) databases.
—0—0
Estimate or predict the effects of global warming over time for specific geographic regions.
—0—0
Teach college-level courses on topics such as atmospheric and space science, meteorology, or global climate change.
—0—0

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

職業情報