事務アシスタント
事務・管理サポートAI露出度
- データ出典: BLS公表時点: '26.08
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: '26.03
0.453
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: '25
0.58
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5%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 18 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Conduct searches to find needed information, using such sources as the Internet.43-6014 | 0.415235.6 | 0.264719.6 |
Use computers for various applications, such as database management or word processing.43-6014 | 0.398834.2 | 0.534439.7 |
Develop or maintain internal or external company Web sites.43-6014 | 0.194016.6 | 0.256719.0 |
Create, maintain, and enter information into databases.43-6014 | 0.04243.6 | 0.141010.5 |
Answer telephones and give information to callers, take messages, or transfer calls to appropriate individuals.43-6014 | 0.03483.0 | 0.05334.0 |
Greet visitors or callers and handle their inquiries or direct them to the appropriate persons according to their needs.43-6014 | 0.02712.3 | 0.02942.2 |
Arrange conference, meeting, or travel reservations for office personnel.43-6014 | 0.01411.2 | 0.00250.2 |
Compose, type, and distribute meeting notes, routine correspondence, or reports, such as presentations or expense, statistical, or monthly reports.43-6014 | 0.01301.1 | 0.00180.1 |
Provide services to customers, such as order placement or account information.43-6014 | 0.01141.0 | 0.01691.3 |
Schedule and confirm appointments for clients, customers, or supervisors.43-6014 | 0.00690.6 | 0.04503.3 |
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 |
|---|---|
Open, read, route, and distribute incoming mail or other materials and answer routine letters.O*NET Task ID 2794 | 1.0 |
Complete forms in accordance with company procedures.O*NET Task ID 2795 | 1.0 |
Review work done by others to check for correct spelling and grammar, ensure that company format policies are followed, and recommend revisions.O*NET Task ID 2797 | 1.0 |
Conduct searches to find needed information, using such sources as the Internet.O*NET Task ID 2805 | 1.0 |
Take dictation in shorthand or by machine and transcribe information.O*NET Task ID 2811 | 1.0 |
Use computers for various applications, such as database management or word processing.O*NET Task ID 20280 | 1.0 |
Create, maintain, and enter information into databases.O*NET Task ID 20281 | 1.0 |
Set up and manage paper or electronic filing systems, recording information, updating paperwork, or maintaining documents, such as attendance records, correspondence, or other material.O*NET Task ID 20282 | 1.0 |
Compose, type, and distribute meeting notes, routine correspondence, or reports, such as presentations or expense, statistical, or monthly reports.O*NET Task ID 20284 | 1.0 |
Develop or maintain internal or external company Web sites.O*NET Task ID 20288 | 1.0 |
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
この職業に関わる最近の変化
2026年4月: NBER survey of 6,000 executives: 69% use AI but 90% report zero employment impact. Executives predict -0.7% employment decline over next 3 years.
[出典: NBER Working Paper 34836]2026年4月: Brookings 2024 flags office/admin support (19M US workers, majority female) as among the five highest-exposure occupation families to generative AI. Over 50% of daily tasks are exposure-scored as assistable or replaceable by current LLMs.
[出典: Brookings 2024 — Generative AI, the American worker]2026年4月: OpenAI framework flags administrative assistants in office/administrative high-risk band; ChatGPT usage in this category is roughly 3x the average.
[出典: OpenAI Jobs Transition Framework, April 2026]