AI is revolutionizing aviation by making it safer, more efficient, and fundamentally greener. Thanks to extensive sensor data collected from aircraft, machine-learning models can now predict maintenance issues before they become serious, reducing downtime and preventing costly breakdowns. This predictive capability not only saves money but also extends the lifespan of critical components.
AI is also tackling fuel waste. By analyzing large datasets, researchers have realized that planes are often over-refueled because traditional calculations don’t account for last-minute changes before takeoff. AI models help optimize the amount of fuel an aircraft carries, cutting unnecessary weight, lowering costs, and reducing CO₂ emissions.
Food waste on flights is another target for AI. A system called “Tray Tracker” uses cameras to monitor leftover food after service, combines that data with route information and passenger feedback, and helps airlines refine portion sizes and menu choices. This way, airlines throw away less food and reduce both cost and environmental impact.
Despite these powerful tools, humans remain at the core of decision-making. AI provides insights and flags anomalies, but engineers and airline staff still make the final calls. This partnership between AI and human expertise is paving the way for a more sustainable future in aviation.
