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 90 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Contribute to the development or implementation of business unit strategic and operating plans.11-9199 | 0.030025.0 | 0.01004.8 |
Discuss emerging compliance issues to ensure that management and employees are informed about compliance reporting systems, policies, and practices.11-9199 | 0.020016.7 | 0.01004.8 |
Advise internal management or business partners on the implementation or operation of compliance programs.11-9199 | 0.020016.7 | 0.00000.0 |
Review all regulatory agency submission materials to ensure timeliness, accuracy, comprehensiveness, or compliance with regulatory standards.11-9199 | 0.01008.3 | 0.150071.4 |
Review civil design, engineering, or construction technical documentation to ensure compliance with applicable government or industrial codes, standards, requirements, or regulations.11-9199 | 0.01008.3 | 0.030014.3 |
Provide regulatory guidance to departments or development project teams regarding design, development, evaluation, or marketing of products.11-9199 | 0.01008.3 | 0.01004.8 |
Prepare or assist in the preparation of applications for environmental, building, or other required permits.11-9199 | 0.01008.3 | 0.00000.0 |
Develop and maintain standard operating procedures or local working practices.11-9199 | 0.01008.3 | —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 |
|---|---|
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