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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

    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: '26.03

    0.667

    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: '25

    0.52

    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15%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 %
Identify, compile, abstract, and code patient data, using standard classification systems.

29-2071

0.017620.8
Prepare statistical reports, narrative reports, or graphic presentations of information, such as tumor registry data for use by hospital staff, researchers, or other users.

29-2071

0.012114.3
Transcribe medical reports.

29-2071

0.009911.7
Review records for completeness, accuracy, and compliance with regulations.

29-2071

0.009311.0
Consult classification manuals to locate information about disease processes.

29-2071

0.009110.8
Compile and maintain patients' medical records to document condition and treatment and to provide data for research or cost control and care improvement efforts.

29-2071

0.00657.6
Develop in-service educational materials.

29-2071

0.00536.3
Enter data, such as demographic characteristics, history and extent of disease, diagnostic procedures, or treatment into computer.

29-2071

0.00394.6
Plan, develop, maintain, or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information.

29-2071

0.00344.0
Resolve or clarify codes or diagnoses with conflicting, missing, or unclear information by consulting with doctors or others or by participating in the coding team's regular meetings.

29-2071

0.00303.5
Not observed on any surface — 8 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.
Protect the security of medical records to ensure that confidentiality is maintained.
0
Process patient admission or discharge documents.
0
Release information to persons or agencies according to regulations.
0
Manage the department or supervise clerical workers, directing or controlling activities of personnel in the medical records department.
0
Train medical records staff.
0
Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software.
0
Post medical insurance billings.
0
Process and prepare business or government forms.
0

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

Occupation information

この職業に関わる最近の変化

2026年4月: ATE 0.36 by 2026 in SF Bay Tier 1 — the earliest crossover within healthcare support category. By 2030, 57.9% of healthcare support occupations in Tier 1 cross moderate-risk threshold.

[出典: arXiv 2604.00186 (Gupta & Kumar, 2026)]

2026年3月: Published blog post: highest-risk healthcare support role. Automation risk 62%, medical coding 70% automated.

[出典: AI Changing Work Blog]