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事務・管理サポート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
- データ出典: Anthropic公表時点: 2026-03
0.385
0.000ここに掲載された値の範囲0.745尺度・母数・出典
- データ出典: ILO公表時点: 2025
0.55
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12%です。
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
非表示の作業 9 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Compile, record, and code results or data from interview or survey, using computer or specified form.43-4111 | 0.026254.5 | 0.373278.1 |
Identify and report problems in obtaining valid data.43-4111 | 0.013628.3 | 0.055711.7 |
Ask questions in accordance with instructions to obtain various specified information, such as person's name, address, age, religious preference, or state of residency.43-4111 | 0.005210.8 | 0.03176.6 |
Collect and analyze data, such as studying old records, tallying the number of outpatients entering each day or week, or participating in federal, state, or local population surveys as a Census Enumerator.43-4111 | 0.00163.3 | 0.01172.5 |
Assist individuals in filling out applications or questionnaires.43-4111 | 0.00153.1 | —0 |
Perform patient services, such as answering the telephone or assisting patients with financial or medical questions. | —0 | 0.00280.6 |
Ensure payment for services by verifying benefits with the person's insurance provider or working out financing options. | —0 | 0.00260.5 |
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.
| Task | βE1 + 0.5 × E2 |
|---|---|
Ask questions in accordance with instructions to obtain various specified information, such as person's name, address, age, religious preference, or state of residency.O*NET Task ID 2627 | 1.0 |
Identify and resolve inconsistencies in interviewees' responses by means of appropriate questioning or explanation.O*NET Task ID 2628 | 1.0 |
Compile, record, and code results or data from interview or survey, using computer or specified form.O*NET Task ID 2629 | 1.0 |
Review data obtained from interview for completeness and accuracy.O*NET Task ID 2630 | 1.0 |
Assist individuals in filling out applications or questionnaires.O*NET Task ID 2632 | 1.0 |
Identify and report problems in obtaining valid data.O*NET Task ID 2634 | 1.0 |
Explain survey objectives and procedures to interviewees and interpret survey questions to help interviewees' comprehension.O*NET Task ID 2635 | 1.0 |
Prepare reports to provide answers in response to specific problems.O*NET Task ID 2637 | 1.0 |
Ensure payment for services by verifying benefits with the person's insurance provider or working out financing options.O*NET Task ID 2633 | 0.5 |
Perform patient services, such as answering the telephone or assisting patients with financial or medical questions.O*NET Task ID 2636 | 0.5 |
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page