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
0.453
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: 2025
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
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.
| 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 |
Order and dispense supplies.O*NET Task ID 2804 | 0.0 |
Supervise other clerical staff and provide training and orientation to new staff.O*NET Task ID 2814 | 0.0 |
Operate office equipment, such as fax machines, copiers, or phone systems and arrange for repairs when equipment malfunctions.O*NET Task ID 20283 | 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
この職業に関わる最近の変化
2026年3月: ILO occupational segregation report identifies secretaries among high-risk clerical roles with routine codifiable tasks; 16% automation risk in female-dominated occupations vs 3% male-dominated
[出典: ILO: Gen AI, Occupational Segregation and Gender Equality (Mar 2026)]2026年3月: ILO finds 88% of countries show women facing higher AI workplace risk; administrative roles among most exposed with 29% GenAI exposure in female-dominated occupations
[出典: ILO: Gen AI, Occupational Segregation and Gender Equality (Mar 2026)]2026年3月: ILO research brief (Mar 2026): female-dominated occupations, such as business administration and clerical support, are almost twice as likely to be exposed to generative AI as male-dominated ones (29% vs 16%), and face much higher automation risk (16% vs 3%).
[出典: ILO Research Brief, March 2026]These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.