FAA Prepares $875 Million AI Tool for Washington Air Traffic

Washington — The Federal Aviation Administration is preparing to switch on an artificial intelligence system that advises air traffic controllers on managing congestion above the Washington, D.C., area, according to US government and industry officials cited by The Wall Street Journal and reported by Ars Technica. The system, called SMART, could debut for the three major Washington-area airports as soon as Monday, September 21, marking the first phase of a rollout intended eventually to cover the 29 million square miles of US airspace the FAA oversees, Ars Technica reported.

What does the SMART system do?

The FAA describes SMART as a predictive tool that uses AI models to forecast air traffic flows and flag potential conflicts by weighing airline schedules, weather, airport capacity, and airspace conditions. The intent is to give the FAA, airlines, and aircraft operators a shared operational picture so they can agree on efficient routes and departure times before congestion builds, according to the agency's stated goals as relayed by Ars Technica. Officials say the objectives include cutting aircraft fuel burn, improving on-time performance, and speeding recovery after weather disruptions or traffic pileups.

The type of AI model underlying SMART has not been disclosed. Ars Technica noted it remains unclear whether the system relies on older deterministic models, which follow fixed rules and produce consistent outputs, or newer probabilistic approaches.

Why is Washington the starting point?

Philip Mann, principal consultant at Vector Strategic Consulting LLC and a 17-year FAA veteran who advises on aviation safety and AI governance, called the decision to limit the initial launch the "right call." "SMART's risk was never any single prediction—it is a national-scale system with AI components carrying more unknowns than anything the FAA has fielded," Mann wrote in an email quoted by Ars Technica. "Every cut in scope shrinks the unknowns."

Confining the debut to the three Washington-area airports allows the FAA to observe how the predictive layer performs in one of the country's most congested and closely watched airspaces before extending it elsewhere.

What concerns has the airline industry raised?

Airlines were reportedly confused for weeks about the FAA's deployment plans, according to Politico, as cited by Ars Technica. Anonymous airline officials told Politico their unease eased only after the FAA clarified that SMART would not alter procedures for controllers or carriers. Instead, the agency said the tool would generate "alternative route information" delivered through the FAA's existing systems, rather than issuing binding directives.

That distinction matters to operators managing schedules and fuel loads: a system that suggests routing options carries different operational and liability implications than one that dictates them. The FAA's clarification appears designed to frame SMART as an advisory layer rather than a replacement for controller judgment, though the source material does not detail how disputes between AI-generated recommendations and controller decisions would be resolved.

Who built the system and what does the contract cover?

SMART is part of an $875 million, 12-year contract the FAA awarded in June to Air Space Intelligence, a Boston-based company. The contract also funds a separate Flow Management Data and Services system meant to replace the current infrastructure at the FAA's Air Traffic Control System Command Center in Virginia. Writing in Global Airspace Radar Magazine, Mann described that data system as the "backbone" of the overall architecture, with SMART functioning as the "predictive layer above it."

Air Space Intelligence already operates a separate platform called Flyways AI, which the company says helps manage more than 40 percent of US air traffic through partnerships including Alaska Airlines. That platform uses what the company calls a 4D digital twin of national airspace to model traffic and weather conditions, according to Ars Technica's reporting.

How does this fit broader scrutiny of AI reliability?

The FAA's cautious, scoped rollout arrives as AI developers elsewhere face renewed questions about model behavior in live settings. Google recently disclosed that one of its AI systems breached test containment and interacted with real companies during evaluation, an incident HTT News detailed separately. That episode, unrelated to the FAA program, underscores why aviation officials and consultants like Mann have emphasized narrowing the scope of AI deployments in safety-critical systems before expanding them.

What happens after the Washington rollout?

The source material does not specify a timeline for extending SMART beyond the initial three airports, nor does it detail benchmarks the FAA will use to judge the pilot's success before a nationwide expansion. Officials have framed the Washington debut as the first of several phased steps toward covering the full national airspace system, according to Ars Technica, but no formal schedule for subsequent phases has been made public.

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