AI Is About to Start Managing Your Flight — Here’s What That Really Means

A new AI-driven overhaul of America’s air traffic control system promises to catch congestion before it happens — sometimes months in advance. The ambition is real, but so is the question of whether the timeline can hold.

For decades, the American flying experience has been shaped by a system built to react: a storm rolls through Chicago, a runway closes in Newark, and the disruption ripples outward across the country for the rest of the day. The FAA’s answer, backed by an $875 million, 12-year contract awarded to Boston-based Air Space Intelligence, is to stop reacting and start predicting.

The agency’s two new platforms — Flow Management Data and Services (FMDS) and Strategic Management of Airspace, Routes and Trajectories (SMART) — are designed to fold every relevant data stream into a single system that can flag a bottleneck weeks or months before a passenger ever reaches the gate.

The mechanics matter here. FMDS becomes the new backbone of the FAA’s Air Traffic Control System Command Center, pulling together flight plans, airline schedules and live position data to map traffic flow across the entire national airspace. SMART sits on top of that, using the same data to recommend routing and departure adjustments to controllers before aircraft ever leave the ground.

In practice, that means the FAA could work with airlines in advance to thin scheduling at predictable pressure points — Newark during the winter holidays, or the airspace around Oshkosh, Wisconsin during the AirVenture air show — rather than absorbing the resulting congestion in real time. Philip Mann, a National Airspace System consultant who spent 17 years at the FAA, put it plainly: travelers should expect fewer delays if the system performs as designed, and the delays that do occur should stay more localized instead of cascading across the network.

Whether that improves the experience of flying is, in the near term, a more layered question than the FAA’s own messaging suggests. Better prediction cuts both ways — Mann noted that in some cases, the system may simply prevent airlines from scheduling flights into windows the airspace can’t handle, which could mean fewer available departures at the margins even as overall reliability improves.

Margaret Wallace, a former Air Force air traffic controller who now teaches at the Florida Institute of Technology, expects the tools to meaningfully reduce manual workload for controllers and improve real-time rerouting around storms and turbulence — a tangible safety and comfort benefit, separate from delay statistics altogether.

The larger uncertainty is timing. SMART is due for its first operational trial this fall, with full implementation targeted before the end of 2028 — a deadline that happens to coincide with the end of the current presidential term. Analysts, including Mann, describe themselves as optimistic about the technology itself but openly skeptical that a system this complex, threaded through safety-critical infrastructure, can be fully deployed on a schedule set by politics rather than engineering.

ASI’s case for confidence rests on the fact that its underlying platform isn’t experimental — it already supports a meaningful share of U.S. domestic flight routing for major carriers, which is a genuinely different starting point than the usual government software overhaul.

For travelers, the honest read is this: the direction is sound, the technology is not vaporware, and the potential upside — a system that manages weather and congestion proactively rather than absorbing it after the fact — is real. But anyone budgeting on materially fewer delays by 2028 is, for now, buying into a timeline that even its own advocates treat with caution.

Amanda O’Brien is the creator and editor of The Boutique Adventurer. She has visited 80 countries and is a member of the British Guild of Travel Writers as well as the IFTWTA. She is passionate about wine had has just completed Level 3 of the WSET. Born in Australia, she lives in London.