For decades, airline pilots have embodied technological mastery, responsibility, and composure. Yet, in the age of data and automation, this profession is undergoing an unprecedented transformation. Artificial intelligence, already ubiquitous in modern cockpits, is no longer limited to flight assistance: it is now establishing itself as a full-fledged decision-maker<\/strong>, capable of anticipating, analyzing, and adjusting flight paths in real time.<\/p>\n\n\n\n According tothe Airbus Global Market Forecast (2024)<\/strong>, 95% of commercial flights<\/strong> use an autopilot system for more than 80% of flight time<\/strong>1<\/a><\/sup>. The global market for artificial intelligence systems applied to aviation is expected to reach $9.8 billion by 2030<\/strong>, with an average annual growth rate of 17.5%<\/strong>2<\/a><\/sup>. At the same time,the EASA<\/strong> (European Union Aviation Safety Agency) estimates that 70% of airlines<\/strong> plan to integrate predictive AI solutions into their operations by 20303<\/a><\/sup>.<\/p>\n\n\n\n These figures reflect a major shift: management is evolving into a discipline of augmented supervision, where data and algorithms enhance human decision-making rather than replace it.<\/p>\n\n\n\n AI is being integrated into every stage of the flight, from takeoff to landing, including maintenance and training.<\/p>\n\n\n\nHow AI is being integrated into the cockpit and air traffic control<\/h2>\n\n\n\n
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