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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

    0.21

    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82%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
Complete and maintain time and attendance forms and inventory lists.

O*NET Task ID 2388

1.0
Evaluate staff performance, recording evaluations on appropriate forms.

O*NET Task ID 2398

1.0
Document individuals' progress toward meeting their treatment goals.

O*NET Task ID 21011

1.0
Manage the daily operations of recreational facilities.

O*NET Task ID 2382

0.5
Evaluate recreation areas, facilities, and services to determine if they are producing desired results.

O*NET Task ID 2387

0.5
Schedule maintenance and use of facilities.

O*NET Task ID 2392

0.5
Oversee the purchase, planning, design, construction, and upkeep of recreation facilities and areas.

O*NET Task ID 2399

0.5
Assess the needs and interests of individuals and groups and plan activities accordingly, given the available equipment or facilities.

O*NET Task ID 21010

0.5
Develop treatment goals for individuals based on their assessments.

O*NET Task ID 21012

0.5
Enforce rules and regulations of recreational facilities to maintain discipline and ensure safety.

O*NET Task ID 2380

0.0
Organize, lead, and promote interest in recreational activities, such as arts, crafts, sports, games, camping, and hobbies.

O*NET Task ID 2381

0.0
Administer first aid according to prescribed procedures and notify emergency medical personnel when necessary.

O*NET Task ID 2383

0.0
Greet new arrivals to activities, introducing them to other participants, explaining facility rules, and encouraging participation.

O*NET Task ID 2385

0.0
Explain principles, techniques, and safety procedures to participants in recreational activities and demonstrate use of materials and equipment.

O*NET Task ID 2386

0.0
Confer with management to discuss and resolve participant complaints.

O*NET Task ID 2389

0.0
Supervise and coordinate the work activities of personnel, such as training staff members and assigning work duties.

O*NET Task ID 2390

0.0
Meet and collaborate with agency personnel, community organizations, and other professional personnel to plan balanced recreational programs for participants.

O*NET Task ID 2391

0.0
Direct special activities or events, such as aquatics, gymnastics, or performing arts.

O*NET Task ID 2393

0.0
Meet with staff to discuss rules, regulations, and work-related problems.

O*NET Task ID 2394

0.0
Provide for entertainment and set up related decorations and equipment.

O*NET Task ID 2395

0.0
Encourage participants to develop their own activities and leadership skills through group discussions.

O*NET Task ID 2396

0.0
Serve as liaison between park or recreation administrators and activity instructors.

O*NET Task ID 2397

0.0
Conduct individual in-room visits with residents.

O*NET Task ID 18557

0.0
Take residents on community outings.

O*NET Task ID 18558

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

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