AI Resilience Report forRetail Loss Prevention Specialists

If you're worried about AI taking over loss prevention work, here's the honest picture: AI is changing the job a lot, but it's mostly handling the watching-and-flagging parts, not the human judgment parts. At the NRF 2026 retail conference, experts said computer vision technology, which uses AI to process visual information from video feeds such as store surveillance cameras, will play a key role in loss prevention, and AI-enabled cameras can keep an eye on an entire store, alerting personnel to issues in real time. One benchmark study of 18,000+ U.S. retail locations found that 62.4% of high-priority security events were resolved without police dispatch when interactive remote video monitoring was deployed, and 95% of alarm events were identified as false alarms through live video verification.

AI is also writing first-draft reports — advanced non-emergency reporting tools now leverage conversational AI to guide users through submissions using natural language, and the system processes the conversation and asks clarifying questions to compile a complete and compliant report.

Still, humans matter. A Loss Prevention Media analysis stresses that detecting potential theft is not the same as proving that theft has occurred, and AI flags potential incidents while human experts validate what actually occurred — meaning apprehensions, legal coordination, and investigations remain human work.

Adoption is moving fast because the financial pain is huge: customer theft cost retailers a record £2.2bn in 2023/24, while overall spending on prevention reached £1.8bn. Retailers are also planning bigger AI budgets — more than three-quarters (77%) of retailers allocate 5% or less of their technology budget to AI, but 39% anticipate AI will account for more than 10% of their tech spend within three years. What slows things down?

Cost (57%), model accuracy (57%) and workforce expertise gaps (55%) top the list of internal concerns, and nearly three-quarters (71%) worry about consumer class actions — false accusations and bias are real legal risks. That's why broader analysts believe AI will reshape more jobs than it replaces ^[1]. For young people eyeing this field, the takeaway is hopeful: skills in investigation, ethics, de-escalation, and working with AI tools will be more valuable than ever.