TMNT

It’s mid-September. Which means even the very last summer returnees should now be back at their desks. The out-of-office replies have finally stopped multiplying. Temperatures are dropping. The summer mood has officially left the building. And suddenly, Q4 is almost here. That made us pause for a moment. How much meaningful technology progress has the travel industry actually delivered in 2026 so far? And perhaps more importantly: Where should the industry focus during the final months of the year?

Agentic AI could fundamentally change how travelers search for, compare, and eventually book flights. But the direction of that transformation remains highly uncertain. Will travelers trust AI agents enough to delegate real decisions and payments to them? And if they do, who will control the customer knowledge and data those agents need to make useful choices? To explore these questions, we ran a structured scenario-planning process over the past few months.

We need to talk more about robotics in aviation. How come? Across the broader startup ecosystem, investor appetite for robotics has grown rapidly. Venture capital funding in 2026 has already reached record levels, driven by advances in physical AI, falling hardware costs, and the growing pressure to automate physical work. One recent proof point comes from China.

Everyone is watching AI reshape travel discovery and booking through chatbots and increasingly capable AI assistants. The latest proof point: Expedia just acquired Berlin-based AI travel planner Layla to accelerate its AI-native trip-planning and booking strategy. Side note: We highlighted Layla as a promising AI play more than two and a half years ago. Consider this your occasional reminder that TNMT can help you spot important companies early. But back to the story.

This article was developed with significant research contributions by Hsiang Ting Huang, a Research and Intelligence Intern at Lufthansa Innovation Hub. The time before a flight departure remains one of travel’s most under-optimized moments. If you read our newsletter two weeks ago, you might remember our very scientific conclusion: most travelers waiting for boarding to begin are basically doing… nothing. Sure, some are doomscrolling.

This article was developed with significant research contributions by Hsiang Ting Huan, a Research and Intelligence Intern at Lufthansa Innovation Hub. Today’s analysis focuses on one specific step of the airport journey that has come under severe structural pressure in recent years. It is a step passengers increasingly associate with friction, uncertainty, and frustration.

The airline industry has spent the past few years moving from one pressure point to the next. Passenger demand came back after COVID, but not evenly across regions, routes, and customer segments. At the same time, cost pressure intensified, with airlines exposed to volatile fuel prices, rising labor costs, maintenance constraints, airport charges, and broader inflation across the aviation value chain.

The impact of AI on travel booking seems to be everyone’s favorite topic these days. Hardly a week goes by without a new hot take on what ChatGPT, Claude, Gemini, and co. will supposedly do to how people search, plan, and book travel in the future. Now, if you’re like us and prefer data over opinion, you’ve probably looked for answers to one of the most basic questions in the whole debate: How many travelers actually use AI tools for trip planning today? Sounds simple enough, right?

Long-time TNMT readers might remember that unicorn mappings used to be one of our favorite research perspectives. Why? Because few lenses reveal emerging shifts in Travel and Mobility Tech as clearly as looking at which technology startups cross the billion-dollar valuation mark. Unicorns are rarely random. They tend to emerge where investor conviction, technological momentum (or hype), and changing customer behavior suddenly align.

If you follow today’s business and tech narratives, one topic has quietly faded: climate. Five years ago, climate change was everywhere. On conference stages. In boardrooms. In investor decks. Today? Much less so. Here are two data angles that make this impossible to ignore. Take TED Talks, long a reliable mirror of what society cares about the most. Mentions of “climate change” peaked around 2020–2021, and have been declining ever since. At the same time, investor sentiment has shifted just as sharply.