AI Resilience Report forFirst-Line Supervisors of Protective Service Workers, All Other

So far, there is little sign that “first-line supervisors” in protective services (such as security or police supervision) are being fully replaced by AI. Most AI tools in this field augment, rather than replace, human work. For example, many police departments now use AI-powered drones to scout crowds and crime scenes ^[1].

In one survey, about 1,500 U.S. police and sheriff’s agencies had adopted drones by 2024 ^[1]. Similarly, companies are testing humanoid robots for basic patrol duties – one deal sent walking robots to help guard a China–Vietnam border crossing ^[2]. In each case, robots handle simple tasks like patrolling perimeters or scanning travelers, not the nuanced decisions.

In fact, experts stress that machines alone can’t keep people safe: an AP Education report found that schools combining cameras and AI with human-led threat teams saw better results. One researcher warned that surveillance tech can give “an illusion of safety” unless trained staff are part of the solution ^{[3] [3]}. In short, automation tools (from video analytics to drones) are emerging, but they mainly assist supervisors – human leaders still do most of the planning, judgment, and face-to-face management that this job requires.

Adoption of AI in protective services could happen slowly or step-by-step. On one hand, agencies have strong incentives: chronic staff shortages and rising crime are encouraging new tech. Axios reports that police shortages have “fueled demand for tech” like AI drones that can map crime scenes or even deliver medical aid ^[1].

On the other hand, costs and concerns push back. High-end AI systems cost a lot and require training. Many local agencies are small – as the OECD notes, most police departments serve small areas and may stick to low-cost tools unless budgets rise ^{[1] [2]}.

Privacy and trust are also issues. Both the Axios and AP reports note that new surveillance tech raises questions about data use and false alarms ^{[1] [3]}. For example, one AI camera wrongly flagged a snack bag as a weapon, showing that mistakes can happen (put simply, AI is not perfect). 2025 guidance from researchers emphasizes that people won’t accept AI replacing guards unless rules ensure accuracy and ethics ^{[3] [1]}.

In sum, while some AI tools (drones, smart cameras, robots) are commercially* available for protective work, adoption will likely be gradual. Agencies will balance the economic gains against up-front costs and public trust. Human skills – clear judgment, leadership, and ethics – remain crucial, so supervisors will continue playing a central role despite new tools ^{[3] [1]}.