コンプライアンスディレクター
経営AI露出度
- データ出典: BLS公表時点: 2026-08
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
0.069
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
0.36
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60%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 157 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Present investment information, such as product risks, fees, or fund performance statistics.11-9199 | 0.097022.7 | 0.02774.0 |
Analyze and evaluate security operations to identify risks or opportunities for improvement through auditing, review, or assessment.11-9199 | 0.045410.6 | 0.199128.6 |
Identify, investigate, or resolve security breaches.11-9199 | 0.04179.7 | 0.110415.9 |
Evaluate the potential of new product developments or market opportunities, according to factors such as business plans, technologies, or market potential.11-9199 | 0.03387.9 | 0.01091.6 |
Perform or evaluate research, such as detailed company or industry analyses, to inform financial forecasting, decision making, or valuation.11-9199 | 0.02245.2 | 0.03034.4 |
Develop or manage integrated security controls to ensure confidentiality, accountability, recoverability, or audit ability of sensitive information, proprietary information, or information technology resources.11-9199 | 0.02245.2 | 0.02343.4 |
Develop, recommend, or manage security procedures for operations or processes, such as security call centers, system acquisition, development, and maintenance, access control, program models, or reporting tools.11-9199 | 0.02084.9 | 0.02764.0 |
Identify potential for loss and develop strategies to eliminate it.11-9199 | 0.01964.6 | 0.01922.8 |
Assess risks to mitigate potential consequences of incidents and develop a plan to respond to incidents.11-9199 | 0.01633.8 | 0.02012.9 |
Monitor financial or operational performance of individual investments to ensure portfolios meet risk goals.11-9199 | 0.01293.0 | 0.01462.1 |
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 |
|---|---|
Review materials such as marketing literature or user manuals to ensure that regulatory agency requirements are met.O*NET Task ID 18038 | 1.0 |
Develop and maintain standard operating procedures or local working practices.O*NET Task ID 18042 | 1.0 |
Establish procedures or systems for publishing document submissions in hardcopy or electronic formats.O*NET Task ID 18043 | 1.0 |
Direct the preparation and submission of regulatory agency applications, reports, or correspondence.O*NET Task ID 18022 | 0.5 |
Formulate or implement regulatory affairs policies and procedures to ensure that regulatory compliance is maintained or enhanced.O*NET Task ID 18023 | 0.5 |
Provide regulatory guidance to departments or development project teams regarding design, development, evaluation, or marketing of products.O*NET Task ID 18024 | 0.5 |
Communicate regulatory information to multiple departments and ensure that information is interpreted correctly.O*NET Task ID 18025 | 0.5 |
Develop regulatory strategies and implementation plans for the preparation and submission of new products.O*NET Task ID 18026 | 0.5 |
Establish regulatory priorities or budgets and allocate resources and workloads.O*NET Task ID 18027 | 0.5 |
Implement or monitor complaint processing systems to ensure effective and timely resolution of all complaint investigations.O*NET Task ID 18028 | 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