Wildfire Intelligence Analyst

This is a projected career: analysts who pull together satellite images, weather models, sensors and AI forecasts to predict wildfires and guide the response. There is no government job code for it yet, but early versions of the work already exist, so some of this is evidence and some is projection.

The evidence: AI already does the first step, spotting fires. An Associated Press report from May 2026 describes AI smoke-detection cameras spreading across the West, with about 1,240 in California's ALERTCalifornia network and utilities in Arizona and Colorado adding well over 100 more between them. In several cases the AI has spotted fires before anyone called 911. But people stay in the loop. In the Arizona case, human analysts checked that the smoke was not cloud or dust before alerting the fire service, and the founder of ALERTCalifornia said human checking keeps false alarms low and trains the AI to get better. A RAND researcher told AP that even when AI spots a fire correctly, it doesn't tell anyone what to do next. One camera company's yearly price per camera includes 'fire risk analysis and 24/7 intelligence center' on top of the cameras.

Demand is the projection side. The Bureau of Labor Statistics says more frequent wildfires, and more people living near forests, mean conservation scientists and foresters will be needed to deal with them; it projects that group to grow 4% from 2025 to 2035. We expect some of that demand to land in analyst jobs like this one.

We keep this at 2 (Low). AI is taking over the watching and spotting, but it creates work for people who check its alerts and turn them into decisions, and the need is growing. What would change the score: if AI detection becomes accurate enough that agencies stop paying people to confirm alerts, the checking layer of this job, which is also its entry level, would shrink and this would move to 3.