エグゼクティブ秘書・管理アシスタント
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
0.234
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
0.54
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13%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 11 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Prepare responses to correspondence containing routine inquiries.43-6011 | 0.133041.0 | 0.018617.3 |
Prepare invoices, reports, memos, letters, financial statements, and other documents, using word processing, spreadsheet, database, or presentation software.43-6011 | 0.077824.0 | 0.020318.9 |
Conduct research, compile data, and prepare papers for consideration and presentation by executives, committees, and boards of directors.43-6011 | 0.065420.2 | 0.036634.1 |
Review operating practices and procedures to determine whether improvements can be made in areas such as workflow, reporting procedures, or expenditures.43-6011 | 0.03199.8 | 0.011911.1 |
Make travel arrangements for executives.43-6011 | 0.00361.1 | 0.00474.4 |
Provide clerical support to other departments.43-6011 | 0.00361.1 | —0 |
Perform general office duties, such as ordering supplies, maintaining records management database systems, and performing basic bookkeeping work.43-6011 | 0.00300.9 | 0.00171.6 |
Attend meetings to record minutes.43-6011 | 0.00240.7 | 0.00242.2 |
Open, sort, and distribute incoming correspondence, including faxes and email.43-6011 | 0.00180.6 | 0.00696.4 |
Read and analyze incoming memos, submissions, and reports to determine their significance and plan their distribution.43-6011 | 0.00150.5 | 0.00272.5 |
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 |
|---|---|
Prepare invoices, reports, memos, letters, financial statements, and other documents, using word processing, spreadsheet, database, or presentation software.O*NET Task ID 2771 | 1.0 |
Read and analyze incoming memos, submissions, and reports to determine their significance and plan their distribution.O*NET Task ID 2772 | 1.0 |
Open, sort, and distribute incoming correspondence, including faxes and email.O*NET Task ID 2773 | 1.0 |
Prepare responses to correspondence containing routine inquiries.O*NET Task ID 2776 | 1.0 |
Compile, transcribe, and distribute minutes of meetings.O*NET Task ID 2781 | 1.0 |
Attend meetings to record minutes.O*NET Task ID 2782 | 1.0 |
Interpret administrative and operating policies and procedures for employees.O*NET Task ID 2788 | 1.0 |
Provide clerical support to other departments.O*NET Task ID 18577 | 1.0 |
Manage and maintain executives' schedules.O*NET Task ID 2770 | 0.5 |
File and retrieve corporate documents, records, and reports.O*NET Task ID 2774 | 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