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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

    0.041

    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

    0.41

    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36%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
Receive messages or materials to be delivered, and information on recipients, such as names, addresses, telephone numbers, and delivery instructions, communicated via telephone, two-way radio, or in person.

O*NET Task ID 7013

1.0
Record information, such as items received and delivered and recipients' responses to messages.

O*NET Task ID 7018

1.0
Check with home offices after completed deliveries to confirm deliveries and collections and to receive instructions for other deliveries.

O*NET Task ID 7019

1.0
Use telephone to deliver verbal messages.

O*NET Task ID 7021

1.0
Plan and follow the most efficient routes for delivering goods.

O*NET Task ID 7014

0.5
Sort items to be delivered according to the delivery route.

O*NET Task ID 7016

0.5
Walk, ride bicycles, drive vehicles, or use public conveyances to reach destinations to deliver messages or materials.

O*NET Task ID 7010

0.0
Load vehicles with listed goods, ensuring goods are loaded correctly and taking precautions with hazardous goods.

O*NET Task ID 7011

0.0
Unload and sort items collected along delivery routes.

O*NET Task ID 7012

0.0
Deliver messages and items, such as newspapers, documents, and packages, between establishment departments and to other establishments and private homes.

O*NET Task ID 7015

0.0
Obtain signatures and payments, or arrange for recipients to make payments.

O*NET Task ID 7017

0.0
Perform routine maintenance on delivery vehicles, such as monitoring fluid levels and replenishing fuel.

O*NET Task ID 7020

0.0
Open, sort, and distribute incoming mail.

O*NET Task ID 7022

0.0
Perform general office or clerical work, such as filing materials, operating duplicating machines, or running errands.

O*NET Task ID 7023

0.0
Collect, seal, and stamp outgoing mail, using postage meters and envelope sealers.

O*NET Task ID 7024

0.0
Unload goods from large trucks, and load them onto smaller delivery vehicles.

O*NET Task ID 7025

0.0
Deliver and pick up medical records, lab specimens, and medications to and from hospitals and other medical facilities.

O*NET Task ID 20903

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