The lucky dip of stumbling on a cheap seat on a popular flight is starting to disappear. Airlines are handing their pricing to artificial intelligence, and on busy routes that mostly means one thing: higher fares.
For decades, carriers have priced seats with analysts and rules of thumb. A typical approach would raise fares by 20 percent once a flight is a quarter full. AI replaces those spreadsheets with models that weigh dozens of variables in real time and adjust continuously to demand, according to industry reporting.
The effect is to shrink the pricing gaps that once let travellers find bargains. Airlines from Delta to Virgin Atlantic are adopting these tools to squeeze more revenue from every flight. They sell fewer seats below what they expect passengers to pay, and they pack planes closer to capacity.
How airline pricing has evolved
Revenue management has been a part of aviation for more than half a century. In the 1970s and 1980s, early yield management systems were developed to help carriers decide how many seats to sell at each fare level. Those systems were constrained by computing power and relied heavily on historical booking patterns. Today's AI models are very different. They can process real-time data from booking engines, competitor websites, fuel prices, weather forecasts, economic indicators, social media sentiment and even major geopolitical events.
The transition to AI has been gradual but is accelerating. Legacy pricing engines often update fares a few times a day or week. Newer systems can adjust thousands of fares every few minutes. This speed gives airlines much tighter control over supply and demand. On popular business routes, where planes are already full, the model will often set prices higher for last-minute bookings and for seats near the end of the sales window.
Cheaper too, sometimes
It is not all bad for flyers. The same models can cut fares on quieter routes to fill otherwise empty seats, so off-peak and low-demand flights may become cheaper. On a route with weak demand, lowering the price can attract more passengers and improve the airline's overall yield.
Bryan Terry of Alton Aviation Consultancy said consumers should expect airlines to become smarter about pricing. He noted that carriers will exploit their new capability to raise fares where possible and cut prices where they have room to stimulate demand. Whether that helps travellers in the long run is contested. One analyst said booking early or smart can still beat the average fare. Critics counter that airlines run on thin margins and will use ever-sharper tools to lift average fares and fill more seats.
The secret sauce
Israeli startup Fetcherr is one of the firms driving the shift. Its platform is used by nearly a dozen carriers, including Canada's WestJet and Brazil's Azul. During recent Middle East disruptions, it repriced flights worldwide in response to oil swings, cancellations and shifting demand.
Co-founder Uri Yerushalmi said their models analyse dozens if not hundreds of classes of variables to come up with fares. He said this is only possible now because of AI. The company says it lifts revenue mainly by filling more seats, not by raising ticket prices. That is a crucial nuance for passengers: higher load factors can matter more in an airline's financial results than a small increase in the average fare.
Extracting value after purchase
AI is also extracting value even after a traveller buys a ticket. Volantio's software, used by Japan Airlines, spots passengers who might swap a busy flight for a voucher. It then resells the freed-up seat to a last-minute business traveller for $1,000. The same tools are moving through hotels and booking sites, so the technology is spreading beyond airlines.
These post-booking systems have become more sophisticated in recent years. They can identify which travellers are likely to be flexible and make them an offer before the flight becomes completely full. The airline then has a chance to capture a much higher fare from someone who needs to travel immediately. In effect, AI is helping airlines manage not only upfront pricing but also inventory after the initial sale.
The surveillance pricing worry
The bigger fear is where this goes next: fares aimed at each traveller's highest willingness to pay, what analysts bluntly call the pain point. Consumer advocates and US lawmakers have warned that airlines could use generative AI for surveillance pricing, charging different people different fares for the same seat based on data such as browsing history or income.
That is no longer purely hypothetical. The US Federal Trade Commission has opened a civil investigation into whether airlines use individualised data profiles to push up prices, according to an aviation publication. Some states have moved first. Maryland passed a Protection from Predatory Pricing Act. Regulators in other countries are circling too, after cases such as China's Trip.com fine.
The companies say they are not there yet. Delta, which declined to comment, has publicly denied setting fares using personal information. Fetcherr says its models use aggregated market data. Volantio says its offers are not personalised. Still, consumer groups argue that the underlying data collection practices deserve closer scrutiny, especially as generative AI becomes easier to deploy.
What travellers can do
For travellers, the shift means bargain hunting is changing but not impossible. Flexibility with dates and destinations becomes more valuable. Loyalty programmes, points and vouchers may provide useful buffers. At the same time, passengers should expect more price variation, with fares moving up and down in response to real-time conditions.
Privacy advocates urge consumers to be aware of how much data they share when searching for flights. Using incognito mode, clearing cookies, or comparing across platforms are common tips, though their effectiveness is debated. What is clear is that airlines have more information than ever before, and they are putting it to work.
For now, the squeeze is about the aggregate, not the individual. As AI keeps reshaping what consumers pay across travel and beyond, the old trick of hunting for a hidden bargain fare is quietly getting harder.