Known as Smart—an acronym for Strategic Management of Airspace, Routes and Trajectories—the software acts as a predictive layer over existing management infrastructure. Developed by the firm Air Space Intelligence, the system processes variables ranging from shifting weather patterns and airport capacity to airline schedules and airspace constraints. By identifying potential traffic conflicts in advance, the FAA hopes to streamline workflows that have become increasingly strained under current staffing levels.
FAA bets $875 million on AI to solve air traffic bottlenecks
Facing a persistent shortage of air traffic controllers, the Federal Aviation Administration is deploying a high-stakes digital solution. The agency has committed $875 million to a cloud-based AI platform designed to automate complex routing decisions and predict congestion before it creates hazards for aircraft across the national airspace.
The 12-year contract marks a significant shift toward automated oversight, with the initial rollout scheduled for the Washington, D.C., metropolitan area. This move complements the agency’s broader modernization agenda and a recent hiring initiative aimed at addressing the acute personnel gaps that have plagued the sector for years. The success of this AI integration will determine how quickly the agency expands the technology to other high-traffic regions across the country.
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