Jobs › Protective Service
AI exposure report
Will AI replace Retail Loss Prevention Specialists?
Some of your tasks will be automated. People who use AI will have the edge.
Task exposure to today's AI
Moderate exposure
This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.
Get your personal scoreWill AI replace Retail Loss Prevention Specialists?
Not entirely. Today's AI tools can take on about 34% of the typical work in this occupation, mostly: maintain documentation or reports on security-related incidents or investigations. The parts that stay human include: Perform covert surveillance of areas susceptible to loss, such loading docks, distribution centers, or warehouses.; Investigate known or suspected internal theft, external theft, or vendor fraud.; Implement or monitor processes to reduce property or financial losses..
People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.
Which tasks AI can take on
The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.
+ 15 more tasks (45% of the week) in the full test.
Your human edge
- Perform covert surveillance of areas susceptible to loss, such loading docks, distribution centers, or warehouses.
- Investigate known or suspected internal theft, external theft, or vendor fraud.
- Implement or monitor processes to reduce property or financial losses.
AI tools to try
ChatGPT / Claude for reports and summariesVideo analytics and alerting systemsTranscription toolsRelated roles
A 3-phase AI learning plan
Phase 1
Faster reports
- Incident reports drafted from your notes with AI, checked by you.
- Summaries of long documents and procedures.
- Follow rules on personal and sensitive data.
Project
Use AI to draft 10 incident reports from your anonymised field notes, time each against your manual average, and log how many facts you had to correct.Phase 2
Working with AI systems
- How video analytics and alerting systems work, and where they fail.
- False alarms and bias: when to trust and when to check.
- Clear handover between system alerts and human decisions.
Project
Track two weeks of video analytics and EAS alerts, classify each as true or false hit, and write a one-page rule on which alert types warrant human review first.Phase 3
Specialise
- Training in security technology or analysis.
- Procedures that combine AI tools with human judgment.
- Mentor newer colleagues.
Project
Build a combined AI-plus-human store audit checklist, pilot it in 3 departments, and coach one new colleague through a full audit using it.