The Federal Aviation Administration is turning to a large-scale AI program to address a nationwide air traffic control shortage by automating and optimizing traffic management. The program, called SMART (Strategic Management of Airspace, Routes, and Trajectories), is a cloud-based platform built to enhance existing FAA systems by ingesting airline schedules, weather data, airport capacity, airspace conditions, and operational constraints. Using those inputs, SMART predicts traffic flows, flags potential conflicts before they occur, and aims to streamline controller workflows so flights can be routed more safely and efficiently.
SMART is being procured from a company called Air Space Intelligence at a cost of roughly $875 million spread over 12 years, with an initial deployment in the Washington, D.C. metro area before wider rollout. The investment complements a separate FAA hiring initiative intended to eliminate staffing shortfalls and broader efforts to modernize aging air traffic infrastructure. The combined approach pairs workforce expansion with automation to reduce congestion and safety risk; SMART’s specifics - predictive modeling across multiple operational variables and cloud integration with legacy systems - are central to its potential impact.
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