AI exposure by occupation, O*NET 11-9199.08
Will AI replace Loss Prevention Managers?
Loss Prevention Managers: AI can already handle 8 of 27 tasks; the work mostly needs a frontier-tier model.
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Every task, scored
The 27 tasks O*NET 30.3 lists for Loss Prevention Managers, from most to least exposed. 8 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Verify correct use and maintenance of physical security systems, such as closed-circuit television, merchandise tags, and burglar alarms. | Estimated | Standard | |
| Review loss prevention exception reports and cash discrepancies to ensure adherence to guidelines. | Estimated | Standard | |
| Assess security needs across locations to ensure proper deployment of loss prevention resources, such as staff and technology. | Estimated | Frontier | |
| Monitor and review paperwork procedures and systems to prevent error-related shortages. | Estimated | Frontier | |
| Provide recommendations and solutions in crisis situations such as workplace violence, protests, and demonstrations. | Estimated | Frontier | |
| Advise retail managers on compliance with applicable codes, laws, regulations, or standards. | Estimated | Frontier | |
| Recommend improvements in loss prevention programs, staffing, scheduling, or training. | Estimated | Frontier | |
| Advise retail establishments on development of loss-investigation procedures. | Estimated | Frontier | |
| Coordinate or conduct internal investigations of problems such as employee theft and violations of corporate loss prevention policies. | Estimated | Efficient | |
| Identify potential for loss and develop strategies to eliminate it. | Estimated | Standard | |
| Develop and maintain partnerships with federal, state, or local law enforcement agencies or members of the retail loss prevention community. | Estimated | Standard | |
| Coordinate theft and fraud investigations involving career criminals or organized group activities. | Estimated | Frontier | |
| Train loss prevention staff, retail managers, or store employees on loss control and prevention measures. | Estimated | Efficient | |
| Hire or supervise loss prevention staff. | Estimated | Standard | |
| Perform or direct inventory investigations in response to shrink results outside of acceptable ranges. | Estimated | Efficient | |
| Monitor compliance to operational, safety, or inventory control procedures, including physical security standards. | Estimated | Efficient | |
| Visit stores to ensure compliance with company policies and procedures. | Estimated | Efficient | |
| Analyze retail data to identify current or emerging trends in theft or fraud. | Estimated | Efficient | |
| Direct loss prevention audit programs including target store audits, maintenance audits, safety audits, or electronic article surveillance (EAS) audits. | Estimated | Efficient | |
| Collaborate with law enforcement to investigate and solve external theft or fraud cases. | Estimated | Efficient | |
| Supervise surveillance, detection, or criminal processing related to theft and criminal cases. | Estimated | Standard | |
| Perform cash audits and deposit investigations to fully account for store cash. | Estimated | Efficient | |
| Administer systems and programs to reduce loss, maintain inventory control, or increase safety. | Estimated | Standard | |
| Maintain documentation of all loss prevention activity. | Estimated | Efficient | |
| Direct installation of covert surveillance equipment, such as security cameras. | Estimated | Standard | |
| Maintain databases such as bad check logs, reports on multiple offenders, and alarm activation lists. | Estimated | Standard | |
| Investigate or interview individuals suspected of shoplifting or internal theft. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 27 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 27 of 27. 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 frontier-tier model or lower covers 96% of the role's importance-weighted task work. 96% of the work is something AI can address at some tier, and 4% 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
- 622,190
- Median annual wage
- $141,900
- Middle half of earners
- $102,880 to $186,300
- Projected change, 2024 to 2034
- +4.5%
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.
- Retail Loss Prevention Specialists 83% skill overlap, about 6 months to move Exposure48
- Security Managers 64% skill overlap, about 13 months to move Exposure54
- Compliance Managers 58% skill overlap, about 15 months to move Exposure57
- Purchasing Managers 58% skill overlap, about 15 months to move Exposure63
- First-Line Supervisors of Security Workers 56% skill overlap, about 16 months to move Exposure35
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Loss Prevention Managers and AI
Will AI replace Loss Prevention Managers?
AI already handles 8 of the 27 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 41 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 +4.5% from 2024 to 2034.
What is the AI exposure of Loss Prevention Managers?
41 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. 0 of the 27 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 27 are estimated from each task's O*NET work activity.
Which Loss Prevention Managers tasks can AI already do?
The tasks with the highest exposure are: Verify correct use and maintenance of physical security systems, such as closed-circuit television, merchandise tags, and burglar alarms; Review loss prevention exception reports and cash discrepancies to ensure adherence to guidelines; Assess security needs across locations to ensure proper deployment of loss prevention resources, such as staff and technology. They are three of the 8 tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 96% 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 Loss Prevention Managers, and what do they earn?
622,190 people in the United States, with a median annual wage of $141,900 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +4.5% 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: Loss Prevention Managers. 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/loss-prevention-managers
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