The views expressed are those of the author and do not necessarily reflect the views of ASPA as an organization.
By Derrick Phillips
November 3, 2025

The fire service, a profession steeped in tradition and bravery, stands on the precipice of a technological revolution. Artificial intelligence (AI) and robotics are no longer the stuff of science fiction; they are rapidly becoming indispensable tools transforming how firefighters respond to emergencies, analyze data, and ensure community safety. This article explores the profound impact of AI-driven analytics and advanced robotics across various facets of modern firefighting.
AI-Fueled Analytics: A New Era of Data-Driven Firefighting
For decades, fire departments have collected vast amounts of data such as incident reports, response times, and demographic information. However, the sheer volume often made it challenging to extract actionable insights. AI, particularly through its analytical capabilities, is changing this, enabling fire departments to move beyond reactive responses to proactive strategies.
Descriptive Analytics: Understanding the Past
Descriptive analytics, powered by AI algorithms, focuses on summarizing historical data to understand past events and identify trends. For fire departments, this means analyzing years of incident reports to pinpoint common fire causes, frequently affected areas, and the times of day or year when certain types of emergencies are more prevalent. AI can quickly process and visualize this data, revealing patterns that human analysis might miss. For instance, an AI might highlight a surge in kitchen fires during specific holidays or an increase in brush fires in particular neighborhoods during dry spells. This understanding of “what happened” forms the foundation for more advanced analysis.
Diagnostic Analytics: Explaining Why it Happened
Building on descriptive insights, diagnostic analytics delves deeper to answer why certain events occurred. AI models can correlate various data points to uncover root causes. If descriptive analytics shows an increase in electrical fires in older buildings, diagnostic AI can then analyze maintenance records, building inspection data, and even weather patterns to determine contributing factors. It might identify aging wiring, a lack of regular inspections, or specific environmental conditions that exacerbate the risk. By understanding the why, fire departments can address underlying issues rather than merely responding to symptoms.
Predictive Analytics: Forecasting Future Risks
Perhaps the most transformative application of AI in the fire service is predictive analytics. This involves using historical data and machine learning algorithms to forecast future events and risks. AI models can predict the likelihood of fires in specific locations, estimate optimal resource allocation, and anticipate the severity of incidents based on real-time data like weather, building occupancy, and traffic conditions. Imagine a system that predicts a higher wildfire risk in a particular area days in advance due to high winds and low humidity, enabling the prepositioning of resources or targeted community alerts. Predictive AI can also forecast the impact of staffing changes, new building developments, or demographic shifts on emergency response needs, enabling proactive planning and resource optimization.
Prescriptive Analytics: Recommending Actions
The pinnacle of AI-driven analytics is prescriptive analytics, which goes beyond predicting what will happen to recommend concrete actions. Based on predictive insights, prescriptive AI can suggest the most effective strategies to mitigate risks, optimize resource deployment, and improve operational efficiency. For example, if predictive analytics forecasts a high risk of a structure fire in a particular district, prescriptive AI could recommend specific fire prevention campaigns, suggest adjusting response plans, or even advise pre-deploying specialized equipment to that area. During an active incident, prescriptive AI could analyze real-time data from sensors and drones to recommend optimal strategies for fire attack, victim rescue, or hazardous material containment, guiding incident commanders with data-backed decisions.
Robotics: Extending the Reach and Safety of Firefighters
While AI provides the intelligence, robotics offers the physical capability to execute tasks that are too dangerous, difficult, or time-consuming for firefighters. Robots are becoming invaluable assets, enhancing safety and operational effectiveness.
Search and Rescue Robotics
In collapsed buildings, unstable structures, or environments with extreme temperatures or toxic gases, traditional search-and-rescue operations are inherently dangerous. Robots equipped with thermal cameras, gas sensors, and high-definition optics can enter these hazardous environments, locate victims, and assess structural integrity without risking firefighters. Small, agile robots can navigate confined spaces, providing vital intelligence to response personnel and potentially saving precious time in life-or-death situations. Drones operating overhead can rapidly survey large disaster areas, identify hotspots, and guide responders to victims.
Firefighting Robotics
Robots are also stepping directly into the line of fire. Large, tracked or wheeled robots equipped with powerful nozzles can deliver water or foam into intense fires, particularly in industrial facilities, chemical plants, or situations where structural collapse is imminent. These robots can operate in conditions too hot or toxic for firefighters, suppressing fires from a safe distance. They can also ventilate structures, create fire breaks, or move heavy debris, augmenting firefighter efforts and significantly reducing exposure to hazards.
Hazardous Materials (HazMat) Response Robotics
Responding to hazardous materials incidents is inherently dangerous and requires specialized training and protective equipment. Robots designed for HazMat operations can significantly mitigate these risks. Equipped with an array of sensors, these robots can identify unknown chemicals, monitor air quality, detect radiation, and safely contain spills or leaks. They can approach compromised containers, take samples, and even perform minor repairs without exposing responders to toxic substances. This not only enhances HazMat team safety but also enables more rapid, precise intervention, minimizing environmental impact and public exposure.
The Future is Integrated
The true power of AI and robotics in the fire service lies in their integration. Imagine a scenario where predictive AI identifies a high-risk area, prompting the pre-deployment of a firefighting robot. When an incident occurs, drones provide real-time aerial views and thermal imaging, feeding data to a diagnostic AI that identifies the fire’s source and potential spread. A prescriptive AI then uses this information to guide the robot’s fire suppression efforts and direct firefighters. Search-and-rescue robots can then enter to locate victims, all coordinated by an intelligent system.
This interconnected ecosystem of AI and robotics promises a future where fire departments are more efficient, more effective, and, most importantly, safer. While technology will never replace the bravery and dedication of firefighters, it will empower them with unprecedented capabilities, ultimately leading to better outcomes for communities worldwide. The transformation is underway and the fire service is embracing a future where intelligence and automation are crucial allies in the fight against emergencies.
Author: Deputy Chief Derrick Phillips is a 31-year St. Louis Fire Department veteran, serving as Operations Chief for the A-Shift, Executive Officer, and the Office of Homeland Security Commander. He holds a Master of Arts in Security Studies from the Center for Homeland Defense and Security at the Naval Postgraduate School and a Master of Public Administration from Arkansas State University. Chief Phillips also holds the Chief Fire Officer designation through the Center for Public Safety Excellence and is a graduate of the IAFC Fire Service Executive Development Institute.
Disclaimer
The opinions expressed in this article are my own and are not the official position of my agency.
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