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AI Air Traffic Control Crisis: Can Automation Solve Aviation's Staffing Shortage?

Financial Times Companies •
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At Gatwick's control tower, binoculars hang as a reminder that human eyes remain essential despite advanced aircraft technology. Air traffic control systems largely operate as they did in 1962, with paper strips still used across the US. Modern planes navigate with smartphone-level precision while ground operations rely on outdated methods.

Andrew Charlton of Aviation Advocacy warns that post-pandemic air travel growth will bring 'many, many more aircraft,' creating a potential crisis. Training controllers takes years and costs hundreds of thousands of pounds, with some failing tests or retiring early. Noam AI has developed an AI-based support system to process vast data and spot potential collisions before they happen.

National Air Traffic Services launched Project Bluebird to use digital twinning and machine learning for air traffic scenarios. The system could advise controllers with data-driven insights. However, Chinese research found controllers remain wary and unconfident about accepting AI-predicted strategies, questioning whether meaningful savings are possible.

Paul Hosmer of NATS emphasizes that humans will always be needed, stating we won't trust machines to guide aircraft in our lifetimes. Safety requires redundancy, especially as GPS jamming affects Polish pilots flying near conflict zones. Poland wisely kept conventional navigation aids alongside new technology, highlighting the need for backup systems when automation fails.