ロス防止マネージャー
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: OpenAI公表時点: 2023
0.368
0.000ここに掲載された値の範囲0.844尺度・母数・出典
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 154 件を表示| Task | Claude.aiRaw / share % |
|---|---|
Identify, investigate, or resolve security breaches.11-9199 | 0.096221.3 |
Present investment information, such as product risks, fees, or fund performance statistics.11-9199 | 0.046310.3 |
Analyze and evaluate security operations to identify risks or opportunities for improvement through auditing, review, or assessment.11-9199 | 0.04059.0 |
Identify potential for loss and develop strategies to eliminate it.11-9199 | 0.03016.7 |
Perform or evaluate research, such as detailed company or industry analyses, to inform financial forecasting, decision making, or valuation.11-9199 | 0.02906.4 |
Assess risks to mitigate potential consequences of incidents and develop a plan to respond to incidents.11-9199 | 0.02836.3 |
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 | 0.01773.9 |
Write or review security-related documents, such as incident reports, proposals, and tactical or strategic initiatives.11-9199 | 0.01683.7 |
Collect and analyze security data to determine security needs, security program goals, or program accomplishments.11-9199 | 0.01142.5 |
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 | 0.01012.2 |
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 |
|---|---|
Maintain databases such as bad check logs, reports on multiple offenders, and alarm activation lists.O*NET Task ID 15785 | 1.0 |
Maintain documentation of all loss prevention activity.O*NET Task ID 15796 | 1.0 |
Review loss prevention exception reports and cash discrepancies to ensure adherence to guidelines.O*NET Task ID 15781 | 0.5 |
Perform cash audits and deposit investigations to fully account for store cash.O*NET Task ID 15782 | 0.5 |
Provide recommendations and solutions in crisis situations such as workplace violence, protests, and demonstrations.O*NET Task ID 15783 | 0.5 |
Monitor and review paperwork procedures and systems to prevent error-related shortages.O*NET Task ID 15784 | 0.5 |
Direct installation of covert surveillance equipment, such as security cameras.O*NET Task ID 15787 | 0.5 |
Advise retail establishments on development of loss-investigation procedures.O*NET Task ID 15788 | 0.5 |
Verify correct use and maintenance of physical security systems, such as closed-circuit television, merchandise tags, and burglar alarms.O*NET Task ID 15790 | 0.5 |
Supervise surveillance, detection, or criminal processing related to theft and criminal cases.O*NET Task ID 15792 | 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