Verlustpraevention-Spezialisten
SchutzdiensteKI-Exposition
- Datenquelle: BLSVeröffentlicht: 2026-08
Mittel· relativ
NiedrigVier relative BänderSehr hochWert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Vier relative Bänder (Niedrig / Mittel / Hoch / Sehr hoch)
831 detaillierte Berufe in der BLS-Beschäftigungsprojektionstabelle. Der Wert wird je Code der National Employment Matrix (NEM) vergeben, daher erhalten Berufe mit demselben NEM-Code dasselbe Band
- Datenquelle: AnthropicVeröffentlicht: 2026-03
0.057
0.000Spannweite der hier geführten Werte0.745Skala, Bezugsmenge und Quelle
Index der beobachteten Exposition, 0–1 wie veröffentlicht
Auf O*NET-Aufgaben abgebildet
- Datenquelle: ILOVeröffentlicht: 2025
0.20
0.09Spannweite der hier geführten Werte0.70Wert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Index der Exposition gegenüber generativer KI, 0–1 wie veröffentlicht
ISCO-08-Berufsgattung — alle Berufe mit demselben Code erhalten diesen Wert
Von dieser Website berechnet, nicht von der IAO veröffentlicht: Von den 1.012 Berufen, die diese Website mit dem IAO-Datensatz verknüpft, erreichen oder übertreffen 86% diesen Wert.
Welche Art von Wert diese Quelle veröffentlicht
Die Kategorie von BLS ist ein relativer Rang und kein absolutes Niveau, und sie ist keine eigene Messung: Sie fasst die Perzentilränge des Berufs aus mehreren veröffentlichten Studien in vier Bänder zusammen. Sie ist weder eine Beschäftigungs- oder Lohnprognose noch eine Einführungswahrscheinlichkeit und unterscheidet nicht zwischen Automatisierung und Augmentierung.
Task-level exposure
Nur exponierte Aufgaben| Task | Claude.aiRaw / share % |
|---|---|
Implement or monitor processes to reduce property or financial losses.33-9099 | 0.010353.4 |
Prepare written reports on investigations.33-9099 | 0.004221.6 |
Investigate known or suspected internal theft, external theft, or vendor fraud.33-9099 | 0.002613.5 |
Recommend methods to reduce potential financial fraud losses.33-9099 | 0.002211.5 |
| Not observed on any surface — 17 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Collaborate with law enforcement agencies to report or investigate crimes. | —0 |
Conduct store audits to identify problem areas or procedural deficiencies. | —0 |
Direct work of contract security officers or other loss prevention agents. | —0 |
Identify and report merchandise or stock shortages. | —0 |
Inspect buildings, equipment, or access points to determine security risks. | —0 |
Maintain documentation or reports on security-related incidents or investigations. | —0 |
Monitor compliance with standard operating procedures for loss prevention, physical security, or risk management. | —0 |
Perform covert surveillance of areas susceptible to loss, such loading docks, distribution centers, or warehouses. | —0 |
Recommend new or improved processes or equipment to reduce risk exposure. | —0 |
Train establishment personnel in loss prevention activities. | —0 |
Verify proper functioning of physical security systems, such as closed-circuit televisions, alarms, sensor tag systems, or locks. | —0 |
Testify in civil or criminal court proceedings. | —0 |
Apprehend shoplifters in accordance with guidelines. | —0 |
Coordinate with risk management, human resources, or other departments to assist in company programs, investigations, or training. | —0 |
Identify and report safety concerns to maintain a safe shopping and working environment. | —0 |
Respond to critical incidents, such as catastrophic events, violent weather, or civil disorders. | —0 |
Conduct employee background investigations and review reports with operational or human resources managers. | —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 |
|---|---|
Maintain documentation or reports on security-related incidents or investigations.O*NET Task ID 17567 | 1.0 |
Prepare written reports on investigations.O*NET Task ID 17570 | 1.0 |
Implement or monitor processes to reduce property or financial losses.O*NET Task ID 17560 | 0.5 |
Investigate known or suspected internal theft, external theft, or vendor fraud.O*NET Task ID 17561 | 0.5 |
Collaborate with law enforcement agencies to report or investigate crimes.O*NET Task ID 17562 | 0.5 |
Conduct store audits to identify problem areas or procedural deficiencies.O*NET Task ID 17563 | 0.5 |
Identify and report merchandise or stock shortages.O*NET Task ID 17565 | 0.5 |
Inspect buildings, equipment, or access points to determine security risks.O*NET Task ID 17566 | 0.5 |
Monitor compliance with standard operating procedures for loss prevention, physical security, or risk management.O*NET Task ID 17568 | 0.5 |
Recommend new or improved processes or equipment to reduce risk exposure.O*NET Task ID 17571 | 0.5 |
Direct work of contract security officers or other loss prevention agents.O*NET Task ID 17564 | 0.0 |
Perform covert surveillance of areas susceptible to loss, such loading docks, distribution centers, or warehouses.O*NET Task ID 17569 | 0.0 |
Train establishment personnel in loss prevention activities.O*NET Task ID 17572 | 0.0 |
Verify proper functioning of physical security systems, such as closed-circuit televisions, alarms, sensor tag systems, or locks.O*NET Task ID 17573 | 0.0 |
Testify in civil or criminal court proceedings.O*NET Task ID 17574 | 0.0 |
Apprehend shoplifters in accordance with guidelines.O*NET Task ID 17575 | 0.0 |
Respond to critical incidents, such as catastrophic events, violent weather, or civil disorders.O*NET Task ID 17580 | 0.0 |
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