How Will AI Reshape Aviation?

The start of the new year is a good time to reflect on the big-picture trends that will reshape aviation in 2026. Top of the list is artificial intelligence. AI is rapidly changing the way we design and operate airports. It's also redefining how we interact with our customers.

With all the hype out there (data centers on Mars!), it can be tough to focus on practical use cases that are actually relevant for our industry. This article highlights a few of them — as well as the risks.

What are the opportunities?

For airports, key opportunities include:

Runway capacity. AI-driven runway management systems can shorten taxi and pushback times, thereby cutting costs, delays, and emissions. That’s a win-win-win for passengers, airlines, and the environment. These efficiency gains are especially powerful at congested hubs like Seattle, enabling airports to eke out more runway capacity from existing infrastructure.

Commercial revenue. AI is fueling a boom in data centers—and many are being built around airports. Site selectors view airports as compatible operating environments, thanks to their height and security restrictions, and distance to residential areas. For airports, data centers present an emerging real estate opportunity: offering a new use case for out-of-the-way plots that are otherwise tough to commercialize.

Staffing. Some folks see AI as a job killer. One recent study reckons that airport headcounts will decline by 15-25% in the next 5 years. Admin and middle-management are most at risk; manual labor and strategy roles seem safe (for now). For airports, the news isn't all bad. Many are struggling to fill vacant positions; AI can help pick up some of that slack. It can also benefit smaller hubs: while many have ambitious plans, low headcounts often limit their ability to deliver. By deploying AI co-pilots, these rising stars can boost staff capacity while also branching into new activities.

What about the risks?

For all the upsides, AI undoubtedly presents new risks. To name just a few:

Cybersecurity. The more we embed technology into airport operations, the greater the risk of malicious attacks. In the current geopolitical climate, airports are an easy target: inflicting mass disruption at little cost to the attacker. Low cyber awareness and an overreliance on a handful of suppliers amplify these risks. Recent incidents in Berlin, Brussels, and London highlight the urgent need to invest in IT redundancies and offline contingency plans.

AI vs. AI. Tenders are a good way to publicize an airport's priority projects — and to test bidders’ ability to deliver. Tenders also signal commitment: preparing one takes time and effort, typically unpaid. That’s why firms are selective about what they bid on—until AI came along. Thanks to AI, firms can bid on a limitless number of projects, churning out pitches that highlight their expertise, whether real or imagined. Airports can likewise use AI to draft RFPs and score submissions. But if AI is in charge of writing and evaluating tender documents, the process becomes meaningless: it’s basically AI talking to AI. For airports, this will force a major rethink about how to tender out projects and select suppliers.

Bad data. By providing airports with quicker and cheaper access to data, AI can improve decision-making across the board: from masterplanning to marketing, and everything in between. Given the right data, AI can model the financial costs of building a new concessions area, optimize passenger flows to drive sales, and draft the commercial terms for future tenants. But what if the data is wrong? AI cheerfully offers all sorts of data-driven insights—but many are based on info that is outdated, miscalculated, or fictional. To make things worse, humans are highly susceptible to automation bias: trusting AI even when it’s wrong, and when it contradicts reliable sources of information. Left unchecked, the potential for costly mistakes is huge.

Final thought

AI is set to disrupt the aviation industry—and this brief overview barely scratches the surface. Among its many impacts, AI will fundamentally redefine our relationship with our customers. Increasingly, consumers are turning to AI for travel advice: where to go, how to get there, and what to do while they’re there. Moving forward, will airports and airlines continue to market directly to passengers—or will they focus instead on the AI co-pilots that drive passengers’ spending habits?

That’s a question for another time. Happy new year, everyone!

Special thanks to Thomas Barta, Maria Krylova, Antoine Picon, and Samer Tirhi.