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AI露出度

  • データ出典: BLS公表時点: 2026-08

    中程度· 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

    0.000

    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

    0.36

    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60%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
Write reports of findings and recommendations and advise farmers, growers, or processors of corrective action to be taken.

O*NET Task ID 14851

1.0
Compare product recipes with government-approved formulas or recipes to determine acceptability.

O*NET Task ID 14864

1.0
Interpret and enforce government acts and regulations and explain required standards to agricultural workers.

O*NET Task ID 14850

0.5
Label and seal graded products and issue official grading certificates.

O*NET Task ID 14857

0.5
Set standards for the production of meat or poultry products or for food ingredients, additives, or compounds used to prepare or package products.

O*NET Task ID 14859

0.5
Inquire about pesticides or chemicals to which animals may have been exposed.

O*NET Task ID 14861

0.5
Set labeling standards and approve labels for meat or poultry products.

O*NET Task ID 14862

0.5
Examine, weigh, and measure commodities, such as poultry, eggs, meat, or seafood to certify qualities, grades, and weights.

O*NET Task ID 14863

0.5
Review and monitor foreign product inspection systems in countries of origin to ensure equivalence to the U.S. system.

O*NET Task ID 14865

0.5
Provide consultative services in areas such as equipment or product evaluation, plant construction or layout, or food safety systems.

O*NET Task ID 14866

0.5
Inspect agricultural commodities or related operations, as well as fish or logging operations, for compliance with laws and regulations governing health, quality, and safety.

O*NET Task ID 14846

0.0
Inspect or test horticultural products or livestock to detect harmful diseases, chemical residues, or infestations and to determine the quality of products or animals.

O*NET Task ID 14847

0.0
Verify that transportation and handling procedures meet regulatory requirements.

O*NET Task ID 14848

0.0
Collect samples from animals, plants, or products and route them to laboratories for microbiological assessment, ingredient verification, or other testing.

O*NET Task ID 14849

0.0
Inspect the cleanliness and practices of establishment employees.

O*NET Task ID 14852

0.0
Monitor the operations and sanitary conditions of slaughtering or meat processing plants.

O*NET Task ID 14853

0.0
Inspect food products and processing procedures to determine whether products are safe to eat.

O*NET Task ID 14854

0.0
Take emergency actions, such as closing production facilities, if product safety is compromised.

O*NET Task ID 14855

0.0
Monitor the grading performed by company employees to verify conformance to standards.

O*NET Task ID 14856

0.0
Direct or monitor the quarantine and treatment or destruction of plants or plant products.

O*NET Task ID 14860

0.0
Testify in legal proceedings.

O*NET Task ID 14868

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