エコノミスト
生命・物理・社会科学AI露出度
- データ出典: BLS公表時点: '26.08
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
- データ出典: Anthropic公表時点: '26.03
0.242
0.000ここに掲載された値の範囲0.745尺度・母数・出典
- データ出典: ILO公表時点: '25
0.55
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12%です。
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
非表示の作業 19 件を表示| Task | Claude.aiRaw / share % |
|---|---|
Compile, analyze, and report data to explain economic phenomena and forecast market trends, applying mathematical models and statistical techniques.19-3011 | 0.119038.1 |
Provide advice and consultation on economic relationships to businesses, public and private agencies, and other employers.19-3011 | 0.053817.2 |
Write technical documents or academic articles to communicate study results or economic forecasts.19-3011 | 0.052916.9 |
Formulate recommendations, policies, or plans to solve economic problems or to interpret markets.19-3011 | 0.041313.2 |
Develop economic models, forecasts, or scenarios to predict future economic and environmental outcomes.19-3011 | 0.01414.5 |
Study economic and statistical data in area of specialization, such as finance, labor, or agriculture.19-3011 | 0.01254.0 |
Interpret indicators to ascertain the overall health of an environment.19-3011 | 0.00421.3 |
Conduct research on economic issues and disseminate research findings through technical reports or scientific articles in journals.19-3011 | 0.00421.3 |
Prepare and deliver presentations to communicate economic and environmental study results, to present policy recommendations, or to raise awareness of environmental consequences.19-3011 | 0.00351.1 |
Supervise research projects and students' study projects.19-3011 | 0.00260.8 |
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 |
|---|---|
Study economic and statistical data in area of specialization, such as finance, labor, or agriculture.O*NET Task ID 7536 | 0.5 |
Provide advice and consultation on economic relationships to businesses, public and private agencies, and other employers.O*NET Task ID 7537 | 0.5 |
Compile, analyze, and report data to explain economic phenomena and forecast market trends, applying mathematical models and statistical techniques.O*NET Task ID 7538 | 0.5 |
Formulate recommendations, policies, or plans to solve economic problems or to interpret markets.O*NET Task ID 7539 | 0.5 |
Develop economic guidelines and standards, and prepare points of view used in forecasting trends and formulating economic policy.O*NET Task ID 7540 | 0.5 |
Testify at regulatory or legislative hearings concerning the estimated effects of changes in legislation or public policy, and present recommendations based on cost-benefit analyses.O*NET Task ID 7541 | 0.5 |
Supervise research projects and students' study projects.O*NET Task ID 7542 | 0.5 |
Forecast production and consumption of renewable resources and supply, consumption, and depletion of non-renewable resources.O*NET Task ID 7543 | 0.5 |
Teach theories, principles, and methods of economics.O*NET Task ID 7544 | 0.5 |
Provide litigation support, such as writing reports for expert testimony or testifying as an expert witness.O*NET Task ID 20051 | 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
職業情報
この職業に関わる最近の変化
2026年3月: New blog post: economists face 60% exposure, 36% risk.
[出典: ACW Blog]