Will AI replace Retail Loss Prevention Specialists?
Estimated risk score: 48 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (29 to 67).
For the occupation as a whole, from ratings of its 21 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 33-9099.02 · Protective Service
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 3 of its 21 rated tasks. In O*NET’s words.
- Maintain documentation or reports on security-related incidents or investigations.
- Prepare written reports on investigations.
- Identify and report merchandise or stock shortages.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 7 of its 21 rated tasks; the first 6 are shown. In O*NET’s words.
- Apprehend shoplifters in accordance with guidelines.
- Direct work of contract security officers or other loss prevention agents.
- Perform covert surveillance of areas susceptible to loss, such loading docks, distribution centers, or warehouses.
- Respond to critical incidents, such as catastrophic events, violent weather, or civil disorders.
- Testify in civil or criminal court proceedings.
- Train establishment personnel in loss prevention activities.
What the job is
Implement procedures and systems to prevent merchandise loss. Conduct audits and investigations of employee activity. May assist in developing policies, procedures, and systems for safeguarding assets.
Also called: Loss Prevention Associate (LPA), APA, LPA, Security Ambassador, Loss Prevention Guard, Asset Protection Agent, Loss Control Field Rep, Asset Protection Greeter.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate