FAA tests $12 billion AI system to predict flight delays weeks in advance

If you’ve been feeling like flying has become increasingly unpredictable lately, it’s not just your imagination. Delays add up. The schedule feels tight. One storm can send ripples across the country.

Now, the federal government wants to use artificial intelligence to get ahead of these problems.

The Federal Aviation Administration is testing a new system designed to predict crowds weeks before they occur. The idea is simple. Fixing your schedule early will reduce the chance of problems later.

But thinking about how it works and who’s building it raises some real questions.

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Sean Duffy proposes big plan to upgrade air traffic control systems and use AI to find ‘hotspots’

What is the SMART system?

This project will be advanced by Strategic Management of Airspace Routing Trajectories (SMART). U.S. Transportation Secretary Sean Duffy said the software analyzes flight patterns far in advance. You can also suggest small schedule changes, like moving your flight forward by 5 or 10 minutes. Those small changes may seem small. Still, it could ease bottlenecks in crowded airspace across thousands of flights.

Sean Duffy: America’s air traffic system needs urgent upgrades

Duffy said the system could allow planners to catch problems weeks in advance and smooth out schedules before delays pile up.

This commitment comes at a significant cost. Officials estimate the AI ​​system could cost about $12 billion, part of a broader push to modernize the nation’s air traffic control infrastructure that has received tens of billions of dollars in federal funding.

Who is building this AI?

The government is working with private companies that bring data and aviation experience. Three major companies are involved:

• Palantir Technologies
• Thales SA
• Airspace information

Each is competing to shape the SMART system. Palantir Technologies has already confirmed that it is working with the Federal Aviation Administration to provide analytical tools to improve aviation safety and efficiency.

Major airlines expand passenger testing to halt flights to prevent connection mistakes

Why authorities claim this will reduce delays

Air travel is subject to tight timing. If one flight is delayed, dozens more can be disrupted. SMART proponents believe that AI can recognize patterns that humans might otherwise miss.

For example, you can determine that certain routes tend to be congested at certain times of the year. That way, you might be able to adjust your schedule before tickets go on sale. Such foresight can reduce last-minute delays and smooth out your travel days. At least, that’s the promise.

Concerns about incorporating AI into systems

There’s a catch. AI doesn’t always work the way people expect. Errors can occur on these systems. In some cases, they can confidently produce false outputs, a problem researchers call hallucinations, which is especially dangerous when real planes and real schedules are involved.

The FAA’s record on modernization also gives some experts pause. The last major overhaul, a program called NextGen, cost about $36 billion over about 20 years and had only about 16% of the expected benefits, according to a federal watchdog report. SMART is now entering the same high-stakes environment, with billions of dollars in funding and pressure to deliver tangible results.

Duffy emphasized that the system supports human controllers, rather than replacing them. However, AI-driven scheduling can shape decisions that affect thousands of flights at once, and if something goes wrong with the system, the impact can spread far beyond a single gate.

AI robot assists travelers at San Jose Airport

what this means for you

Once this system is in place, you may notice changes without knowing why. Flights may be subject to minor changes prior to booking. Departure times may appear to be more spread out. Some routes may feel more predictable. This may result in less delay at the gate.

At the same time, we rely on AI-driven systems to support behind-the-scenes decision-making. When it works well, your trip will be smooth. If you miss something, the ripple effects can extend to the traveler.

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Cart important points

Air travel is always a balancing act. Weather, staffing, and demand all collide in real time. Adding AI to the mix can provide new foresight. It may also introduce new layers of risk. Technology is advancing rapidly. The stakes here are high. So the real test is whether you can do it consistently in a system where small mistakes can quickly cascade.

Would you fly with more confidence if an AI helped you plan your trip? Or would you prefer a human to remain in full control of the system? Email us. cyberguy.com

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