行政アナリスト
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
0.186
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
0.43
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30%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 13 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Participate in the work of subordinates to facilitate productivity or to overcome difficult aspects of work.43-1011 | 0.182464.3 | 0.024127.2 |
Provide employees with guidance in handling difficult or complex problems or in resolving escalated complaints or disputes.43-1011 | 0.036512.9 | 0.014316.2 |
Resolve customer complaints or answer customers' questions regarding policies and procedures.43-1011 | 0.01224.3 | 0.023426.4 |
Compute figures such as balances, totals, or commissions.43-1011 | 0.00933.3 | —0 |
Research, compile, and prepare reports, manuals, correspondence, or other information required by management or governmental agencies.43-1011 | 0.00812.9 | —0 |
Evaluate employees' job performance and conformance to regulations and recommend appropriate personnel action.43-1011 | 0.00742.6 | 0.00172.0 |
Prepare and issue work schedules, deadlines, and duty assignments for office or administrative staff.43-1011 | 0.00431.5 | 0.00303.4 |
Recruit, interview, and select employees.43-1011 | 0.00351.2 | 0.00404.5 |
Analyze financial activities of establishments or departments and provide input into budget planning and preparation processes.43-1011 | 0.00341.2 | —0 |
Train or instruct employees in job duties or company policies or arrange for training to be provided.43-1011 | 0.00331.2 | 0.00222.4 |
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 |
|---|---|
Interpret and communicate work procedures and company policies to staff.O*NET Task ID 9712 | 1.0 |
Compute figures such as balances, totals, or commissions.O*NET Task ID 9715 | 1.0 |
Resolve customer complaints or answer customers' questions regarding policies and procedures.O*NET Task ID 9703 | 0.5 |
Supervise the work of office, administrative, or customer service employees to ensure adherence to quality standards, deadlines, and proper procedures, correcting errors or problems.O*NET Task ID 9704 | 0.5 |
Provide employees with guidance in handling difficult or complex problems or in resolving escalated complaints or disputes.O*NET Task ID 9705 | 0.5 |
Implement corporate or departmental policies, procedures, and service standards in conjunction with management.O*NET Task ID 9706 | 0.5 |
Train or instruct employees in job duties or company policies or arrange for training to be provided.O*NET Task ID 9708 | 0.5 |
Evaluate employees' job performance and conformance to regulations and recommend appropriate personnel action.O*NET Task ID 9709 | 0.5 |
Review records or reports pertaining to activities such as production, payroll, or shipping to verify details, monitor work activities, or evaluate performance.O*NET Task ID 9710 | 0.5 |
Recruit, interview, and select employees.O*NET Task ID 9711 | 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