The panel at Haaga-Helia’s Future of Aviation Seminar last week stayed with me longer than I expected.
Not because of the technology itself, but because of how we are choosing to think about it.
A lot of the discussion around AI in aviation, and in business more broadly, still circles around efficiency. Replacing tasks. Supporting decision making. Reducing headcount. Optimizing what already exists.
But that framing is too small.
AI, at its best, is not about doing the same things cheaper. It’s about making entirely new things possible.
And aviation is a perfect example of this.
Today, there is a massive untapped market across Europe and globally, demand that simply isn’t served. Not because people don’t need to travel, but because the traditional airline model cannot profitably serve them. Aircraft are too large, routes are built on prediction, and load factors are uncertain until it’s too late.
This is not a demand problem. It’s a model problem.
What AI enables,if we step back and look systemically, is a shift from prediction to certainty. From estimating demand to actually knowing it. From flying routes and hoping they fill, to building routes based on committed, understood demand from the start.
And when you know demand, a different system emerges.
You don’t ask ‘how do we fill this aircraft?’
You ask ‘what aircraft fits this demand?’
That shift sounds simple. It isn’t. It challenges decades of how aviation has been structured.
But it opens something much bigger.
A new layer of aviation, one where right-sized aircraft, known demand, and new technologies align to unlock markets that have always been there, just out of reach.
We are still early in this thinking. And it requires deep understanding of both the technology and the business to see where the real opportunities lie.
But one thing is clear:
The biggest impact of AI won’t come from optimizing the current system.
It will come from having the courage to redesign it.
Roope Kekäläinen
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