FAA Rolls Out AI Project to Cut Flight Delays While Keeping Human Controllers in Charge
The Federal Aviation Administration is launching an urgent new artificial intelligence initiative aimed at reducing flight delays and easing the workload on air traffic controllers without replacing their critical decision-making role.
The project, called Strategic Management of Airspace Routing Trajectories (SMART), is spearheaded by FAA Administrator Bryan Bedford and targets the growing complexity and congestion of U.S. airspace. Officials confirmed the initiative is designed to anticipate traffic issues days or weeks in advance and smooth air traffic flows, especially for scenarios like severe weather disruptions across regions such as the Southeast.
AI to Predict Traffic, Not Manage Safety-Critical Decisions
Unlike concerns that AI might sideline controllers, companies involved emphasize that SMART will not handle safety-critical functions. Instead, it focuses on proactive management, such as adjusting scheduled departure times to prevent congestion before it happens.
Todd Donovan, Thales’s vice president for airspace mobility solutions, noted SMART “is really about organizing the demand on the airspace and airport to avoid unexpected congestion.” He added the system could help prevent “two aircraft being in conflict” by making small upstream adjustments, like minor speed changes 30 minutes earlier, so controllers face fewer urgent conflicts.
The FAA invited technology firms Thales, Air Space Intelligence, and Palantir to compete in this invitation-only challenge to lead SMART. Palantir declined to comment. The FAA plans to award a contract soon and begin an operational demonstration by September 2026, with further validation through the rest of the year.
Reducing Controller Stress and Flight Delays Nationwide
Workload relief for the FAA’s nearly 11,000 certified air traffic controllers is a key driver. The union representing them, the National Air Traffic Controllers Association (NATCA), has not issued a formal statement but supports upgrades to outdated technology.
“Am I gonna replace a controller and have AI manage the airspace? Hell no, that’s not gonna happen,” Donovan said, directly addressing controller concerns.
SMART will integrate with current FAA systems to predict traffic bottlenecks and adjust flows well before flights reach controller jurisdictions. For example, in anticipation of a thunderstorm over a major airport, SMART could signal airlines to space out departures early, preventing cascading delays and holding patterns that frustrate pilots and passengers alike.
FAA’s AI Vision: From “Gridlock” to Smooth Skies
Bedford likened current U.S. airspace to “Los Angeles gridlock,” highlighting the daily struggle controllers face with conflicts, delays, and cancellations. SMART aims to transform this by moving air traffic management from reactive to predictive.
Phillip Buckendorf, CEO of Air Space Intelligence, explained, “You want to basically predict flight trajectories based on schedules weeks in advance, then adjust flight-by-flight with AI on the day of travel,” increasing both efficiency and safety.
The FAA currently funds SMART through piecemeal budget efforts rather than a dedicated line item, which could limit scale. Still, the early proof-of-concept phase is ending, and the agency is gearing up for the next operational phase.
What This Means for Alabama and Travelers Nationwide
Southeastern states, including Alabama, are among regions where weather often disrupts flights. A smarter, AI-driven system to anticipate these disruptions would benefit travelers by reducing delays and cancellations during storms or busy holiday periods.
As SMART moves toward deployment, Alabama airports and airlines could see improved traffic flow and shortened delays, easing the strain on pilots, controllers, and passengers alike.
The rollout also signals a broader national push to modernize aviation infrastructure, a critical goal as U.S. air travel rebounds and grows more complex each year.
Next Steps
FAA officials promise a transparent process as the project moves forward, with operational demonstrations expected to start in September 2026. Industry watchers and travelers should prepare for gradual improvements in air traffic management driven by AI — still under human supervision — that could reshape how American skies are managed for decades.
