一般事務職員
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
0.450
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
0.60
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4%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 % |
|---|---|---|
Troubleshoot problems involving office equipment, such as computer hardware and software.43-9061 | 1.136489.5 | 0.287054.4 |
Process and prepare documents, such as business or government forms and expense reports.43-9061 | 0.04543.6 | 0.124023.5 |
Complete work schedules, manage calendars, and arrange appointments.43-9061 | 0.02742.2 | 0.00931.8 |
Operate office machines, such as photocopiers and scanners, facsimile machines, voice mail systems, and personal computers.43-9061 | 0.02011.6 | 0.02023.8 |
Prepare meeting agendas, attend meetings, and record and transcribe minutes.43-9061 | 0.01080.9 | 0.00661.2 |
Answer telephones, direct calls, and take messages.43-9061 | 0.00960.8 | 0.01873.6 |
Review files, records, and other documents to obtain information to respond to requests.43-9061 | 0.00880.7 | 0.03176.0 |
Communicate with customers, employees, and other individuals to answer questions, disseminate or explain information, take orders, and address complaints.43-9061 | 0.00730.6 | 0.01703.2 |
Compile, copy, sort, and file records of office activities, business transactions, and other activities.43-9061 | 0.00250.2 | 0.01322.5 |
Collect, count, and disburse money, do basic bookkeeping, and complete banking transactions.43-9061 | 0.00160.1 | —0 |
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 |
|---|---|
Compile, copy, sort, and file records of office activities, business transactions, and other activities.O*NET Task ID 828 | 1.0 |
Complete and mail bills, contracts, policies, invoices, or checks.O*NET Task ID 829 | 1.0 |
Compute, record, and proofread data and other information, such as records or reports.O*NET Task ID 831 | 1.0 |
Maintain and update filing, inventory, mailing, and database systems, either manually or using a computer.O*NET Task ID 832 | 1.0 |
Process and prepare documents, such as business or government forms and expense reports.O*NET Task ID 838 | 1.0 |
Type, format, proofread, and edit correspondence and other documents, from notes or dictating machines, using computers or typewriters.O*NET Task ID 840 | 1.0 |
Prepare meeting agendas, attend meetings, and record and transcribe minutes.O*NET Task ID 843 | 1.0 |
Troubleshoot problems involving office equipment, such as computer hardware and software.O*NET Task ID 844 | 1.0 |
Communicate with customers, employees, and other individuals to answer questions, disseminate or explain information, take orders, and address complaints.O*NET Task ID 826 | 0.5 |
Answer telephones, direct calls, and take messages.O*NET Task ID 827 | 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
Occupation information
この職業に関わる最近の変化
2026年4月: Office clerks identified in OpenAI 18% high-pressure band; structured admin language tasks dominate role.
[出典: OpenAI Jobs Transition Framework, April 2026]2026年3月: Brookings study finds office clerks are the single largest group (2.5M workers) in the high AI exposure, low adaptive capacity category. Geographic concentration in college towns and state capitals.
[出典: Brookings Institution — Measuring US workers capacity to adapt (2026-01)]2025年11月: McKinsey MGI report flags office clerks doing routine filing, scheduling, and document processing as highly automatable. 30% of work hours could be automated in midpoint scenario by 2030.
[出典: McKinsey Global Institute]