Fire agencies in the United States are testing AI-powered drones designed to detect and suppress wildfires before they can spread, aiming to close the gap between a small ignition and firefighters arriving on scene. CAL FIRE has trialled autonomous suppression drones developed by Seneca in California, while separate teams competing in the $11 million XPRIZE Wildfire competition tested rival autonomous systems in remote Alaskan terrain. The push reflects growing concern about wildfire severity, as officials look to technology that can respond to fires while they are still small and more manageable.

The urgency behind these trials stems from worsening wildfire conditions across the western United States, with NOAA attributing part of the increase in fire size and intensity to human-caused warming, and researchers linking rising temperatures to longer wildfire seasons. The tests come amid a separate strain on traditional firefighting resources, with emergency calls to fire services reportedly tripling and staffing described as being at crisis levels. Developers hope autonomous drones could eventually be deployed to remote or hard-to-reach areas to identify and douse fires before they require large-scale human intervention.