When Will AI Replace Responsables de la prévention des pertes ?

The impact on Loss Prevention Managers is unfolding rapidly. While specific dates for early, mid, and late-stage disruption are not yet defined, the trend is clear: AI is poised to significantly alter the landscape. The vulnerability score of 0/100 indicates an immediate and severe threat, meaning changes are likely to begin sooner rather than later.

The early phase of AI's impact will see the automation of routine monitoring and basic investigation tasks. Junior loss prevention specialists and those focused on repetitive report reviews will be the first to experience these shifts as AI systems become more integrated into daily operations.

The mid-phase transformation will involve more complex analytical tasks and decision-making processes. As AI excels in pattern recognition, which constitutes 70-80% of the current LP manager workload, the scope of automation will expand, requiring a fundamental shift in the remaining human roles.

Junior loss prevention specialists and those primarily engaged in routine monitoring, basic report review, and initial investigations face the most immediate impact. Their roles involve tasks that AI can perform with increasing efficiency and accuracy, leading to potential staff reductions.

While the executive summary doesn't explicitly detail safe roles or salary increases, the implication is that roles requiring complex strategic decision-making, advanced human interaction, and exception handling will be more resilient. These may involve higher-level management or specialized investigative functions.

To navigate this disruption, Loss Prevention Managers must adapt. Focus on developing skills that complement AI, such as strategic oversight, advanced data interpretation, and managing human-AI collaboration. Upskilling in areas like AI system management and complex problem-solving will be crucial.

Leverage AI-powered surveillance systems like Veesion, Everseen, and StopLift to enhance your capabilities. Understand how predictive analytics platforms can identify high-risk transactions and behaviors, allowing you to focus on higher-value tasks rather than routine monitoring.