FAA Launches SMART AI to Tackle Flight Delays

The Federal Aviation Administration has begun rolling out a new artificial intelligence platform known as SMART, designed to predict airspace bottlenecks and cut flight delays before passengers ever reach the gate.

What SMART Is and How It Works

The tool, formally called Strategic Management of Airspace, Routes and Trajectories, or SMART, is a cloud-based decision support platform that sits on top of the United States air traffic management system. Public documentation from the Transportation Department describes it as a way to centralize and analyze information that has historically been scattered across multiple systems, phone calls and manual planning processes.

According to FAA fact sheets and recent coverage, SMART draws on roughly 200 separate data streams, ranging from detailed airline schedules and flight plans to real-time weather radar, airport runway and gate capacity, traffic flow constraints, and even controller staffing metrics. Its AI models continuously process these inputs to forecast where demand for airspace and runway time will exceed capacity hours in advance, and to identify patterns that typically lead to knock-on delays across the network.

Instead of intervening while aircraft are already queued on taxiways or circling in holding patterns, SMART is built to operate in the strategic layer of traffic management. The platform proposes schedule adjustments, reroutes and use of alternative airports before problems materialize, giving the FAA’s Air Traffic Control System Command Center and airline operations teams a longer planning horizon to smooth the day’s traffic.

FAA materials emphasize that SMART is advisory and does not directly control aircraft or replace existing safety systems. Human air traffic managers remain responsible for safety-critical decisions, while SMART supplies predictions and scenario analyses intended to make those decisions more consistent and less reactive.

First Stop: Washington’s Congested Airspace

The first operational deployment of SMART is taking place in the busy airspace around Washington, DC, covering Ronald Reagan Washington National Airport, Washington Dulles International Airport and Baltimore/Washington International Thurgood Marshall Airport. Reports indicate that the rollout window began in mid to late September 2026, following months of testing and integration work.

The region’s complex mix of commercial traffic, government flights and weather-driven congestion makes it a natural proving ground. Publicly available briefings describe the initial phase as an “operational demonstration,” with the FAA and its industry partners using Washington’s airspace to validate the system’s predictive capabilities and refine how SMART’s recommendations are incorporated into existing traffic flow tools.

Travelers using the three Washington area airports in the coming months are unlikely to see SMART referenced on departure boards. Any changes will appear indirectly, through tweaks to departure times, rebalancing of flights between airports, or earlier decisions to reroute traffic around forecast storms that might previously have caused cascading delays later in the day.

Federal transportation officials have indicated that the Washington deployment will inform a planned nationwide expansion. If the AI platform performs as expected, additional metropolitan areas with chronic congestion are likely candidates for subsequent phases, although specific airports and timelines have not yet been formally detailed.

An $875 Million Bet on AI for Air Traffic

The rollout of SMART follows a major contract award earlier in 2026. In June, the FAA selected San Francisco based software firm Air Space Intelligence for a 12 year, 875 million dollar program to provide SMART and a broader suite of Flow Management Data and Services that support the Air Traffic Control System Command Center.

Public contracting records and agency announcements describe SMART as an enhancement to an existing modernization effort, not a standalone system. The platform is intended to integrate with the command center’s current flow management tools, which already help determine when to implement ground delay programs, how to meter arrivals into overburdened airports, and when to reroute traffic around constraints such as closed airspace or severe storms.

Congressional budget documents and the FAA’s National Aviation Research Plan have, in recent years, highlighted AI-enabled decision support as a priority for cutting delays and making more efficient use of limited airspace and runway capacity. SMART is one of the first large scale, operational manifestations of that strategy, backed by a multi year funding stream and a formal acquisition program rather than a small pilot project.

For airlines, the financial stakes are significant. Industry assessments routinely place the cost of delays and cancellations in the billions of dollars annually when considering fuel burn, crew time, passenger rebooking and disrupted aircraft rotations. If SMART can reduce even a small percentage of systemic delay minutes, the savings across the network could be substantial.

What It Could Mean for Travelers

From a passenger perspective, SMART’s success will be measured less in technical milestones and more in whether it leads to fewer missed connections, shorter tarmac waits and more predictable travel days. The system is designed to tackle a persistent problem in US aviation: the way early morning constraints and scheduling mismatches can create “built in” delays that ripple through the day’s flights.

FAA materials describe the goal of having “zero delays at the start of the day,” by adjusting schedules and routes in advance so that first wave departures push back on time and encounter fewer airborne bottlenecks. Once morning operations start smoothly, later flights are less likely to inherit compounded delays from earlier disruptions, making it easier for airlines to recover from weather or equipment issues.

SMART’s forecasts may also allow airlines and the FAA to make earlier, more targeted decisions about which flights to delay or reroute when capacity is constrained. For travelers, that could translate into receiving notice of an adjusted departure time or alternative routing hours earlier than they would today, providing more opportunity to change connections, adjust plans or choose different flights.

However, published commentary from industry observers underscores that the tool will not prevent all delays. Weather, aircraft maintenance, and airport construction will continue to affect the system. The hope is that AI driven planning will make those disruptions less chaotic and more evenly distributed, rather than eliminating them entirely.

Questions on Oversight, Safety and Airline Buy-In

The introduction of AI into such a central aviation function has drawn close scrutiny from lawmakers, airline executives and labor groups. Congressional committees have previously directed the FAA to develop clear certification and oversight frameworks for AI and machine learning tools used in traffic management, with particular attention to how they affect aggregate delay and the equitable distribution of delays among airspace users.

Public reporting indicates that airlines engaged in extensive discussions with the FAA ahead of the SMART rollout, seeking clarity on how aggressively the system would be used and how its recommendations might affect cancellations, reroutes and on time performance metrics. Some industry executives expressed concern that early versions of the tool could recommend more aggressive preemptive schedule cuts in order to avoid later congestion, a tradeoff that could be disruptive for carriers and passengers if not carefully calibrated.

In response to these concerns, agency materials and public briefings stress that SMART’s role is confined to strategic planning and that it does not alter safety margins or the legal authority of air traffic controllers. Human controllers continue to manage day to day separation of aircraft, and any schedule or routing changes are implemented through established traffic management programs that already exist within the system.

Experts following the rollout note that the Washington deployment will serve as an important test of how well the FAA can balance innovation with transparency. Detailed post-implementation analyses of delay patterns, combined with ongoing feedback from airlines, controllers and passenger groups, are expected to guide both technical refinements to SMART’s algorithms and policy decisions about how widely and intensively the tool should be used across the national airspace system.