Three Ways AI Is Reshaping the Travel Stack in June 2025 From Booking to Boarding

Just last week, we published our joint deep-dive report with Microsoft, "Can AI and the Right Data Rewrite the Rules of Airline Performance?" and the timing couldn’t have been better.

Since then, a wave of new AI-powered innovations has hit the aviation sector, revealing how fast the space is moving from theory to real-world implementation.

So this month’s edition zooms in on AI’s growing impact across the travel journey, from the front end of travel discovery and booking, all the way through to back-end airport and airline operations. And we’re not just talking about incremental updates. Some of these launches point to deep structural shifts in how the industry will function going forward.

Let’s get into it.

Innovation #1: Google Unveils AI Mode: A Critical Shift in Travel Search and Booking?

Announced at the 2025 I/O Developer Conference at the end of May, Google’s new AI Mode may be the most consequential AI development in travel this year, even though it hasn’t fully launched yet. Google CEO Sundar Pichai positioned it as a fundamental reinvention of how users interact with search, one that blends natural language queries, deep personalization, and agentic booking capabilities into a single interface.

The key takeaway: This isn't just a smarter search bar. It clearly suggests a full-on transformation of travel discovery and booking as we know it.

Some industry observers have gone so far as to call this “the biggest transformation” since the dawn of online booking. And for good reason. AI Mode threatens to disrupt the travel funnel as we know it, displacing OTAs, flattening SEO, and bringing booking closer to the search experience than ever before.

Here is how it (likely) works:

  • Users can soon type (or verbally express) complex, multi-layered prompts like: “Plan a five-day food and museum trip to London for three friends who like quirky neighborhoods.”
  • The AI understands the context, preferences, and constraints, and generates personalized results instantly. Importantly, a new dedicated AI search tab and chat interface replace the traditional “top 10 blue links” with a single, generated summary of what Google deems the most accurate and relevant answer.
  • Users can also link Google apps like Gmail and Docs to give the system access to past travel plans, preferences, or contextual information, fueling even deeper, real-time personalization.
  • Through Project Mariner and the Gemini API, Google’s AI will then take actions on your behalf (even though the concrete specs are still unclear), such as booking a restaurant, buying tickets, or soon, reserving flights and hotels, without ever leaving the search interface.

Why does this innovation stand out?

Quite obviously, this is not a simple UI tweak. It’s a rewrite of the trillion-dollar global e-commerce stack, and travel is one of the first battlegrounds.

  • For travel brands, being “searchable” is no longer enough. In the AI-first funnel, the question becomes: Is your product structured and authoritative enough for Google’s AI to recommend?
  • It collapses the booking funnel as Google is finally positioning itself to capture transaction value directly, after decades of handing it off to intermediaries. That changes the game for OTAs, metasearch engines, and even airline.coms.
  • It’s hyper-personalized and action-oriented: By fusing user context, live inventory data, and agentic tools, Google is creating an intelligent travel assistant, not just a discovery engine.

The rollout is expected to begin this summer. While some uncertainties remain, such as agent verification, fraud controls, and supplier onboarding, the strategic direction is clear.

And if Google does follow through, the impact on the industry will be profound. Airlines and travel tech platforms should begin preparing now.

June OAG Radar Visual 1

Innovation #2: iGA Istanbul Airport Goes All-In on Smart Operations

While most of Google's AI-enabled travel features are still on the horizon, others are already live and operating at remarkable scale. One standout is iGA Istanbul Airport, which has committed to one of the most comprehensive smart airport implementations globally.

What exactly is iGA Istanbul Airport doing?

The airport has rolled out a full suite of AI and smart technologies to simultaneously ensure more stable operations and a seamless passenger experience. The initiatives span nearly every aspect of the airport’s ecosystem, including:

  • An AI-powered chatbot with advanced natural language processing to assist travelers.
  • Over 7,000 iBeacon devices enabling precise indoor navigation throughout the terminal.
  • An advanced Airport Operations Center (APOC) designed for real-time coordination across all key airport stakeholders.
  • AI-driven crowd analytics to monitor and manage passenger flow across terminals.
  • RFID baggage tracking across a 42-kilometer conveyor belt system for more accurate and reliable handling.

Why does this innovation stand out?

This isn’t just a flashy tech showcase. It’s arguably a blueprint for the future of large-scale airport operations (keep in mind: iGA handles over 1,400 daily flights and more than 80 million passengers annually as the second most connected airport in the world).

  • First, it’s a reminder that AI in aviation is already here and working. We explored this shift in our recent joint research with Microsoft, and iGA’s case brings it vividly to life.
  • Second, iGA is proving that AI can solve real-world challenges at the airport level, helping manage complex infrastructure and logistics while also elevating the passenger journey, from smoother wayfinding to faster baggage handling and more responsive assistance.

As airports around the world look to modernize aging infrastructure, iGA Istanbul sets a powerful benchmark: a smart, scalable, and traveler-centric approach to airport ops.

June OAG Radar Visual 2

Innovation #3: British Airways Uses Digital Twins to Tackle the Industry’s Delay Crisis

While much of the aviation industry continues to struggle with stubbornly high delay rates, especially at major hubs, British Airways is showing that real progress is possible.

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The carrier has reduced its delay rate at Heathrow Airport (measured as flights delayed by at least 60 minutes) from 12% earlier this year to just 8% today, clearly outperforming its peers at one of the world’s busiest airports.

What exactly is British Airways doing?

At the heart of BA’s punctuality gains lies a powerful use of digital twin technology. Working with UK-based Emu Analytics, British Airways has implemented a real-time operational intelligence platform as part of its Mission Control Center to improve one of the most overlooked but critical components of hub operations: aircraft towing.

At a complex hub like London Heathrow, aircraft frequently need to be repositioned across the airfield, from engineering hangars to gates or between remote stands. These movements must be tightly choreographed to avoid knock-on delays, and that’s where BA’s new digital twin platform comes in.

Emu’s powered Mission Control gives BA real-time tracking of every aircraft on the ground, enabling the airline to:

  • Monitor towing operations down to the second.
  • Identify bottlenecks and delay hotspots.
  • Perform trend analysis and feed insights into future planning.
  • Optimize towing movements based on operational data.

Why does this innovation stand out?

BA’s improved towing coordination may be happening behind the scenes, but its impact is very real for passengers: smoother turnarounds, more on-time departures, and less terminal congestion.

This development is significant for three key reasons:

  • As our latest On-Time Performance Airline Ranking shows, many of the world’s largest carriers at major hubs are failing to achieve top-tier punctuality. BA’s progress at Heathrow offers a rare example of meaningful, data-driven improvement.
  • The success of this initiative highlights how British Airways’ broader £7 billion technology investment, including its 100+ in-house data scientists and AI-powered forecasting tools, is beginning to deliver tangible operational gains.
  • Travelers may never notice the aircraft towing operation, but they certainly benefit from the downstream effects: fewer missed connections, more predictable schedules, and less time stuck on the tarmac.

In a world where most airline tech investments remain invisible or ambiguous in their payoff, BA is offering a rare, measurable success story.

June OAG Radar Visual 3

This wraps up our June edition.

With AI fast becoming a strategic lever across every layer of the travel stack, it’s clear the pace of innovation isn’t slowing down.

We’ll continue tracking how these developments are rewriting the rules of the game in aviation.

And if you need a refresher on just how far AI has already come in our industry, don’t forget to check out our latest AI in Aviation primer, released in collaboration with Microsoft.