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We are in urgent need of air traffic controllers — might AI help fill the void?

Air traffic control has found its way back into the spotlight. Following a breakdown on May 9 that interrupted communication systems at Newark Liberty International Airport, the situation raised concerns over the ability to manage numerous flights safely in the air above.

Scott Kirby, the CEO of United Airlines, has voiced serious concerns about ongoing traffic management issues at airports, which have been persistent for years. United Airlines also announced reductions in its flight schedule from Newark airport.

Air traffic control systems depend on technologies like radar and satellites to track aircraft. While radio communications and radar were integrated into air traffic management back in the 1930s and 1940s, respectively, they remain crucial today. Yet, as flight volumes increase, the existing communication methods are becoming more strained.

This issue was recognized two decades ago, prompting Congress to enact laws like the Vision 100 – Century of Aviation Reauthorization Act in 2003, which aimed to modernize air traffic systems through initiatives like NextGen. Following that, efforts such as the FAA Modernization and Reform Act of 2012 and the FAA Reauthorization Act of 2024 aimed to further advance air traffic control systems.

Recent proposals by the FAA indicate significant changes are on the horizon, although they may take years to realize.

Despite historical attempts to improve the system, challenges persist. The incident at Newark was less about a shortage of personnel and more about a breakdown in the system itself. The aftermath, including air traffic controllers taking trauma leave, only intensified an already existing talent shortage.

The Federal Aviation Administration (FAA) is tasked with hiring and training air traffic controllers, who oversee around 45,000 flights daily in the U.S. Given the critical nature of their roles, finding and filling these positions has become more challenging. The FAA has since sought to offer incentives aimed at retaining qualified controllers and boosting recruitment, particularly from former military personnel, though these are more long-term solutions.

The FAA currently reports a shortage of about 3,000 air traffic controllers, with standards for becoming one being quite stringent. Applicants must be U.S. citizens under 31 and meet strict medical and security criteria; only about 10% of applicants make it to the training stage. With their pivotal role in air safety, there’s hesitation to relax these qualifications.

Simply adding more air traffic controllers won’t resolve the underlying issues, as evidenced by the Newark incident. There’s a clear need for a full overhaul of the air traffic control system and its corresponding technology.

Air traffic controllers are responsible for managing flights across the national airspace, which can be a complex task. Here, AI could theoretically assist. While it can’t replace human controllers, AI can help streamline processes and potentially mitigate risks associated with runway incursions, a concern that has been relatively stable in recent years.

In 2024, there were 1,758 runway incursions, averaging about 146 per month. Fortunately, most of these incidents are minor, but the potential for improvement through AI support shouldn’t be overlooked.

While increasing the number of air traffic controllers is vital, it’s equally important to upgrade the systems they operate within. As our airspace gets busier and the demand for flights rises, simply scaling existing operations won’t suffice. The Newark disruption could happen at any airport, impacting many others as airlines connect their flight networks.

This moment calls for a reevaluation of how AI can enhance the effectiveness of air traffic control.

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