Specialistes en Prevention des Pertes
Services de ProtectionExposition à l'IA
- Source des données: BLSPublié: 2026-08
Modérée· relative
FaibleQuatre bandes relativesTrès élevéeValeur par groupe professionnel
Échelle, base et source
Quatre bandes relatives (Faible / Modérée / Élevée / Très élevée)
831 métiers détaillés du tableau des projections d'emploi du BLS. La valeur est attribuée par code de la National Employment Matrix (NEM), si bien que les métiers partageant un code NEM reçoivent la même bande
- Source des données: AnthropicPublié: 2026-03
0.057
0.000Étendue des valeurs présentées ici0.745Échelle, base et source
- Source des données: ILOPublié: 2025
0.20
0.09Étendue des valeurs présentées ici0.70Valeur par groupe professionnel
Échelle, base et source
Indice d'exposition à l'IA générative, 0–1 tel que publié
Groupe de base CITP-08 — tous les métiers partageant le code reçoivent cette valeur
Calculé par ce site, non publié par l'OIT : sur les 1 012 professions que ce site relie au jeu de données de l'OIT, 86% atteignent ou dépassent cette valeur.
Quelle est la nature de la valeur publiée par cette source
La catégorie BLS est un rang relatif et non un niveau absolu, et ce n'est pas une mesure de première main : elle regroupe en quatre bandes les rangs centiles du métier dans plusieurs études publiées. Ce n'est ni une prévision d'emploi ou de salaire, ni une probabilité d'adoption, et elle ne distingue pas automatisation et augmentation.
Task-level exposure
Tâches exposées uniquement| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Identify and report safety concerns to maintain a safe shopping and working environment.33-9099 | 0.005141.9 | 0.003029.2 |
Implement or monitor processes to reduce property or financial losses.33-9099 | 0.004738.5 | 0.002019.8 |
Prepare written reports on investigations.33-9099 | 0.002419.7 | —0 |
Monitor compliance with standard operating procedures for loss prevention, physical security, or risk management. | —0 | 0.005251.0 |
| 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. | ||
Investigate known or suspected internal theft, external theft, or vendor fraud. | —0 | —0 |
Collaborate with law enforcement agencies to report or investigate crimes. | —0 | —0 |
Conduct store audits to identify problem areas or procedural deficiencies. | —0 | —0 |
Direct work of contract security officers or other loss prevention agents. | —0 | —0 |
Identify and report merchandise or stock shortages. | —0 | —0 |
Inspect buildings, equipment, or access points to determine security risks. | —0 | —0 |
Maintain documentation or reports on security-related incidents or investigations. | —0 | —0 |
Perform covert surveillance of areas susceptible to loss, such loading docks, distribution centers, or warehouses. | —0 | —0 |
Recommend new or improved processes or equipment to reduce risk exposure. | —0 | —0 |
Train establishment personnel in loss prevention activities. | —0 | —0 |
Verify proper functioning of physical security systems, such as closed-circuit televisions, alarms, sensor tag systems, or locks. | —0 | —0 |
Testify in civil or criminal court proceedings. | —0 | —0 |
Apprehend shoplifters in accordance with guidelines. | —0 | —0 |
Coordinate with risk management, human resources, or other departments to assist in company programs, investigations, or training. | —0 | —0 |
Recommend methods to reduce potential financial fraud losses. | —0 | —0 |
Respond to critical incidents, such as catastrophic events, violent weather, or civil disorders. | —0 | —0 |
Conduct employee background investigations and review reports with operational or human resources managers. | —0 | —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