AI-driven pricing systems are replacing static fare rules at major carriers including Delta Air Lines, Virgin Atlantic, and Air Canada, with Asia-Pacific incumbents like Singapore Airlines, Cathay Pacific, and Qantas following the same path. These systems reprice seats continuously using real-time demand signals, competitor fares, and historical booking curves — narrowing the gap between the cheapest and most expensive seats on any given flight, particularly on high-demand routes to Tokyo, Sydney, and Bangkok. The last-minute bargain window that Western travelers have relied on for decades is closing on popular routes. Off-peak flights and shoulder-season dates are where the new deals will surface. Carriers are retiring the static pricing formulas that governed airfares for decades and replacing them with machine-learning systems that reprice seats around the clock. Industry coverage, including analysis from Air Gazette’s overview of AI dynamic pricing, identifies Delta, Virgin Atlantic, Lufthansa, and Air Canada among the carriers already running AI-based continuous repricing. These systems monitor remaining inventory, the pace of bookings against historical curves, competitor pricing, and real-time demand signals simultaneously — and they respond in near-real time. Bryan Terry, an analyst at Alton Aviation Consultancy in New York, has noted that the technology gives airlines better advance visibility into market conditions, allowing them to push fares higher when demand is strong and discount strategically on routes where seats aren’t moving. Traditional revenue management worked on fare classes — a fixed ladder of price buckets, with rules