AI exposure by occupation, O*NET 33-9099.02
Will AI replace Retail Loss Prevention Specialists?
Retail Loss Prevention Specialists: AI can already handle 3 of 21 tasks; the work mostly needs a standard-tier model.
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Every task, scored
The 21 tasks O*NET 30.3 lists for Retail Loss Prevention Specialists, from most to least exposed. 3 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Verify proper functioning of physical security systems, such as closed-circuit televisions, alarms, sensor tag systems, or locks. | Estimated | Standard | |
| Conduct employee background investigations and review reports with operational or human resources managers. | Estimated | Efficient | |
| Recommend methods to reduce potential financial fraud losses. | Estimated | Frontier | |
| Investigate known or suspected internal theft, external theft, or vendor fraud. | Estimated | Efficient | |
| Implement or monitor processes to reduce property or financial losses. | Estimated | Standard | |
| Identify and report merchandise or stock shortages. | Estimated | Standard | |
| Conduct store audits to identify problem areas or procedural deficiencies. | Estimated | Standard | |
| Monitor compliance with standard operating procedures for loss prevention, physical security, or risk management. | Estimated | Standard | |
| Perform covert surveillance of areas susceptible to loss, such loading docks, distribution centers, or warehouses. | Estimated | Standard | |
| Prepare written reports on investigations. | Estimated | Efficient | |
| Collaborate with law enforcement agencies to report or investigate crimes. | Estimated | Standard | |
| Testify in civil or criminal court proceedings. | Estimated | Standard | |
| Respond to critical incidents, such as catastrophic events, violent weather, or civil disorders. | Estimated | Efficient | |
| Direct work of contract security officers or other loss prevention agents. | Estimated | Frontier | |
| Coordinate with risk management, human resources, or other departments to assist in company programs, investigations, or training. | Estimated | Standard | |
| Recommend new or improved processes or equipment to reduce risk exposure. | Observed | Standard | |
| Train establishment personnel in loss prevention activities. | Estimated | Efficient | |
| Maintain documentation or reports on security-related incidents or investigations. | Estimated | Efficient | |
| Identify and report safety concerns to maintain a safe shopping and working environment. | Estimated | Efficient | |
| Inspect buildings, equipment, or access points to determine security risks. | Estimated | Efficient | |
| Apprehend shoplifters in accordance with guidelines. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 1 of 21 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 20 of 21. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A standard-tier model or lower covers 86% of the role's importance-weighted task work. 95% of the work is something AI can address at some tier, and 5% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 81,500
- Median annual wage
- $42,540
- Middle half of earners
- $35,420 to $54,910
- Projected change, 2024 to 2034
- +2.5%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Loss Prevention Managers 83% skill overlap, about 6 months to move Exposure41
- Security Guards 58% skill overlap, about 15 months to move Exposure29
- Security Management Specialists 57% skill overlap, about 16 months to move Exposure43
- Financial Risk Specialists 56% skill overlap, about 16 months to move Exposure58
- Private Detectives and Investigators 56% skill overlap, about 16 months to move Exposure41
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Retail Loss Prevention Specialists and AI
Will AI replace Retail Loss Prevention Specialists?
AI already handles 3 of the 21 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 48 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +2.5% from 2024 to 2034.
What is the AI exposure of Retail Loss Prevention Specialists?
48 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 1 of the 21 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 20 are estimated from each task's O*NET work activity.
Which Retail Loss Prevention Specialists tasks can AI already do?
The tasks with the highest exposure are: Verify proper functioning of physical security systems, such as closed-circuit televisions, alarms, sensor tag systems, or locks; Conduct employee background investigations and review reports with operational or human resources managers; Recommend methods to reduce potential financial fraud losses. They are the tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 86% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Retail Loss Prevention Specialists, and what do they earn?
81,500 people in the United States, with a median annual wage of $42,540 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +2.5% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Retail Loss Prevention Specialists. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/retail-loss-prevention-specialists
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