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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

    0.434

    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

    0.57

    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7%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

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
Perform administrative support tasks, such as proofreading, transcribing handwritten information, or operating calculators or computers to work with pay records, invoices, balance sheets, or other documents.

O*NET Task ID 746

1.0
Analyze data to determine answers to questions from customers or members of the public.

O*NET Task ID 752

1.0
Calculate and quote rates for tours, stocks, insurance policies, or other products or services.

O*NET Task ID 756

1.0
Process and prepare memos, correspondence, travel vouchers, or other documents.

O*NET Task ID 758

1.0
Operate telephone switchboard to answer, screen, or forward calls, providing information, taking messages, or scheduling appointments.

O*NET Task ID 744

0.5
Receive payment and record receipts for services.

O*NET Task ID 745

0.5
Greet persons entering establishment, determine nature and purpose of visit, and direct or escort them to specific destinations.

O*NET Task ID 747

0.5
Hear and resolve complaints from customers or the public.

O*NET Task ID 748

0.5
File and maintain records.

O*NET Task ID 749

0.5
Transmit information or documents to customers, using computer, mail, or facsimile machine.

O*NET Task ID 750

0.5
Collect, sort, distribute, or prepare mail, messages, or courier deliveries.

O*NET Task ID 755

0.0
Conduct tours or deliver talks describing features of public facilities, such as a historic site or national park.

O*NET Task ID 761

0.0
Perform duties, such as taking care of plants or straightening magazines to maintain lobby or reception area.

O*NET Task ID 762

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

職業情報

この職業に関わる最近の変化

2026年3月: ILO confirms receptionists among occupations driving gender AI gap; 88% of countries analyzed show women face higher generative AI risks than men

[出典: ILO: Gen AI, Occupational Segregation and Gender Equality (Mar 2026)]

2026年3月: ILO: business administration and clerical support nearly twice as likely to be exposed to GenAI.

[出典: ILO Research Brief, March 2026]

2026年1月: Brookings study identifies 965,000 receptionists among workers with high AI exposure and low adaptive capacity. Vulnerability concentrated in smaller cities with shallow labor markets.

[出典: Brookings Institution — Measuring US workers capacity to adapt (2026-01)]

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.