Impact of AI Commoditization on Travel Technology

Tripadvisor built the best discovery layer in travel history. AI made it worthless in 18 months. Airbnb had the same problem and called it an opportunity. Here's the difference. Tripadvisor just got hammered in their Q4 2025 earnings call (Feb 12, 2026). CEO Matt Goldberg admitted ongoing traffic declines from "the changing search landscape and the rise of AI overviews." Flyby visitors - the casual search traffic that fueled their discovery moat - are vanishing. Travelers ask ChatGPT instead of Googling, and it summarizes reviews, prices, and photos in seconds. Free. Instant. No clicks needed. Tripadvisor spent 20 years building the ultimate travel discovery layer. Now it's commoditized. They're pivoting hard: launching an AI-native MVP, integrating Viator into ChatGPT, chasing higher-revenue LLM traffic (even if it's small so far), and projecting SEO will drive less than 10% of Experiences bookings by end of 2026. Stock tanked, talks of strategic alternatives resurfaced. Contrast that with Airbnb's same-week earnings call. Brian Chesky called AI "the best thing that ever happened" to them. Why? Models are commoditized - ChatGPT, Gemini, Claude - everyone has access. But Airbnb doesn't just use them; they post-train on millions of interactions, 200M verified IDs (more than US passports), $100B+ payments, insurance on every stay, exclusive inventory, and a host app ecosystem no bot can copy overnight. Chatbot traffic? Converts higher than Google. It's top-of-funnel fuel, not a killer. They hired Meta's Llama builder as CTO to go AI-native: conversational search, trip planning, voice agents, all layered on real trust and fulfillment. The brutal truth for travel platforms: If your moat is pure discovery (reviews + aggregation), AI eats it alive. Tripadvisor is living proof. If your moat includes payments, verification, insurance, unique supply, and deep operational layers? AI supercharges you instead. Airbnb isn't scrambling. They're executing. For anyone in travel, tech, or platforms: Discovery is dying as the sole moat. Execution and trust are the new kings. Which side are you on - watching the shift or building through it? Drop your thoughts below.

Everyone is talking about AI as a growth lever. But if you actually read the 10-K filings from the largest travel companies, AI is framed first as a competitive threat. Expedia Group states that the rapid emergence of generative and agentic AI is likely to intensify competition. Booking.com warns that AI-powered platforms and new entrants could change how travelers search and book, increasing competitive pressure and potentially shifting demand. On the hotel side: Marriott Hotels flags that AI introduced by intermediaries can disrupt marketing and distribution, erode loyalty, and increase distribution costs. Choice Hotels International explicitly calls out AI-powered booking flows inside third-party apps that could divert bookings away from direct channels. Hilton notes that large language models entering travel booking could redirect demand and heighten cybersecurity exposure. IHG Hotels & Resorts acknowledges uncertainty around how guests will discover and interact with hotels in an AI-driven environment. Read that again. Every major player in travel is signaling the same structural shift: AI is becoming the new booking interface. It is about control of intent at the moment of decision. If the AI layer lives inside Booking or Expedia, demand concentrates there. If the AI layer lives inside Google, demand concentrates there. If the AI layer lives inside your own infrastructure, you intensify competition instead of absorbing margin pressure. That is the foundation of Agentic Hospitality Cloud. AI-native infrastructure that: • Connects directly to CRS, PMS, loyalty, and revenue systems • Makes hotel inventory machine-readable and surface agnostic • Executes booking, modifications, and cancellations in real time • Preserves brand authority at the moment of intent Booking and Expedia are investing heavily in agentic AI to intensify competition. Hotels can either fund that future through higher distribution costs, or build the capability themselves. AI will intensify competition. The only strategic question is whether you are participating in it or paying for it.

AI Is Becoming the New Gatekeeper in Travel Agentic AI is starting to change how travelers plan and book their trips. Assistants like ChatGPT can already manage the process end to end. A guest can ask for a hotel, receive a few curated options, and complete a booking without ever visiting a website. ➡️ The transaction still runs through platforms like Expedia, but the interface belongs to the AI. ➡️ OTAs are the first to feel the impact. ➡️ They are losing control of search, loyalty, and brand visibility. This is early. The shift is just beginning. But the implications are clear. ➡️ The power is moving upstream, to the system that handles the request. ➡️ Search Is Being Rewritten. HOTEL PIVOT: This shift does not stop with OTAs. It reaches every hotel that depends on visibility, relevance, and timing. If an AI assistant becomes the primary interface, then the hotel must be present in that interaction. If it is not, it is no longer part of the guest’s decision. Many teams are still building for a web-based journey. They are creating campaigns that assume the guest is browsing pages, reading reviews, clicking links. In reality, guests are starting to ask systems to choose for them. And the systems are doing exactly that. The hotel no longer controls how it is discovered. It must now prepare to be selected. FIVE ACTION STEPS FOR HOTEL COMMERCIAL TEAMS: 1️⃣ Start with AI awareness across your team Make sure your marketing, revenue, and sales leads understand how agentic AI operates. This is not about becoming technical. It is about knowing how systems interpret data and return results. 2️⃣ Structure your hotel content for machine readability Use schema markup and structured formats. Ensure your rates, amenities, and inventory can be indexed by AI systems that surface results to guests. 3️⃣ Make loyalty visible to AI assistants Integrate rewards, perks, and personalized preferences into systems that the assistant can access. If the AI cannot recognize your value, it cannot present it. 4️⃣ Create campaigns that align with AI-shaped journeys Use tools like AI-generated images and vibe marketing frameworks to scale content fast. Focus on clarity, consistency, and guest intent. Build assets that help both humans and machines understand who you serve. 5️⃣ Redefine what direct means in this new context Direct no longer just means bypassing OTAs. It means becoming part of the assistant’s logic and recommendation flow. That shift starts with clean data, clear messaging, and strong integration. This trend is early, but it is already reshaping the edge of the guest experience. Hotels that experiment now will be better prepared when the AI layer becomes the standard layer. If you want help increasing visibility, driving direct revenue, or building an AI-first workflow for your team, reach out.

OpenAI just quit the booking business. Expedia jumped 12%. Booking Holdings up 8%. The headline everyone ran: AI won't replace OTAs. Wrong read. OpenAI didn't fail. They confirmed exactly where generative AI hits its ceiling in travel. And where agentic AI will need to pick up. Google tried owning bookings from 2015 to 2022. "Book on Google." Killed it. OpenAI tried the same play. Same outcome. The pattern is clear. Generative AI captures discovery, not transactions. Agentic AI might close that gap. But only with the right data underneath. ChatGPT usage for travel research grew 124% in one year. But only 2% of travelers trust AI to book without human oversight. People browse inside AI. They buy through brands they trust. McKinsey calls this "selective delegation." From the new Skift + McKinsey report on agentic AI in travel. So the real question isn't who builds the best agent. It's whose data is clean, real-time, and structured enough for those agents to work with. Today, fewer than 15% of brands are built to show up in AI-generated answers. In hospitality, that number is probably lower. The companies that will define the next era of travel distribution aren't building agents. They're building the data layer agents depend on. Everyone asks, "When will AI book my trip?" Better question: Whose data will the agent trust enough to recommend?

Booking.com stock is falling rapidly. Is the AI revolution already knocking on its door? We might be witnessing the beginning of a structural shift in travel. For 20 years the model was simple: Guest → Google → OTA → Hotel But what happens when the journey becomes: Guest → AI Agent → Direct booking API → Hotel AI agents will soon: • Compare rates instantly across platforms • Bundle flights + stays + mobility • Personalize recommendations in seconds • Book automatically based on user preferences If search friction disappears, the traditional OTA moat weakens. The real risk for Booking.com isn’t that people stop traveling. The risk is losing control of the interface. That said, let’s not underestimate them. Booking still controls: • Massive global inventory • Payment infrastructure • Fraud systems • Reviews at scale • Hotel integrations worldwide AI agents will still need structured inventory and reliable APIs. And Booking is perfectly positioned to become the infrastructure layer powering those agents. The question is not whether AI changes travel. It will. The question is: Who owns demand in an AI-driven world? For operators (hotels, serviced apartments, hybrid living concepts), this is the moment to: • Strengthen direct booking • Own guest data • Invest in revenue tech • Integrate APIs properly • Use AI before it uses you AI won’t destroy travel platforms overnight. But it will compress margins, increase transparency and reward agility. Big changes are coming. Are we ready? #AI #TravelTech #Hospitality #RevenueManagement #OTA #Innovation #FutureOfTravel #PropTech

Over the past months - across several interviews and industry conversations, I’ve spoken about how AI is reshaping commercial strategy in hospitality. Not as a tool, but as a structural force changing where competition is decided. This article expands that thesis. Large language models, ranking systems, and emerging agentic interfaces are mediating the earliest stages of evaluation — translating intent into constraints, filtering alternatives, and constructing shortlists before a guest ever reaches a booking engine. This does not remove human choice. It relocates it. The competitive frontier is moving upstream. In the piece below, I introduce a framework I call Algorithmic Confidence — the likelihood that a machine will trust your enterprise enough to recommend it. It reframes performance around five structural determinants: ▶️ Product and policy codification ▶️ Data and identity coherence ▶️ Operational reliability ▶️ Reputation authority ▶️ Economic discipline Together, they shape whether an organization is statistically safe to surface. In AI-mediated markets, visibility is earned twice — first by machines, then by humans. If market access increasingly depends on machine-mediated trust, then enterprise design — not messaging — becomes the true lever of advantage. This is not a theoretical exercise. The framework is being implemented at Minor Hotels in collaboration with some of the most advanced organizations shaping travel technology today. The structural impact will become evident in the months ahead. Informed debate is welcome. #HospitalityStrategy #AIinTravel #CommercialArchitecture #DigitalTransformation #Leadership

For a decade we said “content is king.” In airlines, we meant it literally. Pricing and availability—that’s content. Distributed directly and through agencies. The foundation of airline commerce. That doesn’t stop being important. It’s just not enough. Scott Brinker at chiefmartec made the case last week that “context is gravity” in an expanding software universe. He’s talking about SaaS, but the principle lands harder in travel than anywhere. When AI agents become the interface—planning trips, comparing options, booking flights—they can get pricing and availability from anyone. That’s table stakes. What they can’t get from the old content world: What’s the state of the ticket? - Exchanged. - Partially flown. - Refunded. What’s the status of the flight attached to the booking? What entitlements does this member have? What seats are open, blocked or held on the seat map? That’s context. And it’s exactly what an airline’s API services should provide in an agentic world. Karyn Fernandes clued me into an important announcement last week: Sabre and Mindtrip just announced what they’re calling the industry’s first end-to-end agentic AI for travel. Conversational planning, booking and payment in one flow. The technology is interesting. The implication is what matters. If the AI agent becomes the next dominant distribution channel—one where the carrier doesn’t orchestrate anything, just has data and services available—who owns the relationship? The carrier that provides its context does. The one whose data layer is clean enough and independent enough that any agent—Sabre’s, OpenAI’s, Sierra, whoever’s next—can plug in and get the right answer. Not just fares. State. Status. Entitlements. The full picture. The carrier that outsourced all of that? They become fulfillment. We’ve been here before. We watched airlines cede pricing visibility to OTAs. We watched loyalty programs become commoditized because the data lived in someone else’s platform. Each time, the pattern was the same: the technology moved fast, and the organizations that didn’t own their content and context got defined by someone who did. This is why domain debt matters more than we think. Defining what context to expose, how to structure it, what business rules govern it—that’s not a technology problem. It’s a business strategy problem. And solving it requires people who understand the commercial operation deeply enough to make those calls. Not just AI expertise. Subject matter expertise. Content gets you to the table. Context keeps you in control. Making data work in an agentic world means owning the context—the data, the rules and the people who deeply understand all of it.

𝗧𝗵𝗲 𝗺𝗼𝘀𝘁 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗔𝗜 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 𝘁𝗵𝗲 𝘁𝗿𝗮𝘃𝗲𝗹 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝘁𝗵𝗶𝘀 𝘆𝗲𝗮𝗿 𝗱𝗶𝗱𝗻’𝘁 𝗰𝗼𝗺𝗲 𝗳𝗿𝗼𝗺 𝗮 𝘁𝗿𝗮𝘃𝗲𝗹 𝗼𝗿 𝗵𝗼𝘁𝗲𝗹 𝗰𝗼𝗺𝗽𝗮𝗻𝘆. 𝗔𝗻𝗱 𝗶𝘁 𝗱𝗶𝗱𝗻’𝘁 𝗵𝗮𝗽𝗽𝗲𝗻 𝗮𝘁 𝗮 𝗰𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲. Over the past two years we’ve seen an explosion of: • AI for travel conferences • AI strategy webinars • AI transformation panels • AI consultants publishing thought leadership But here’s the uncomfortable reality: Most of the real AI disruption in travel won’t come from presentations about AI. It will come from platforms that 𝗯𝗶𝗹𝗹𝗶𝗼𝗻𝘀 of travelers already use every day. And one of the biggest just made its move. For the first time in more than a decade, Google has rolled out a major redesign of Maps and introduced “Ask Maps,” a Gemini powered conversational interface. At first glance, it looks like a helpful chatbot. But step back and the bigger shift becomes clear. Google Maps is evolving from a navigation tool into an agentic travel planning platform. Travelers can now ask things like: • “Plan a 10-day trip through Italy focused on food and small towns.” • “Design a luxury resort itinerary in the Caribbean.” • “Build a pre- and post-cruise experience around Barcelona.” And the AI assembles recommendations using Google’s enormous dataset of: • places • reviews • photos • geographic context • behavioral signals from billions of travelers But the real breakthrough may be this: The system learns continuously. Every interaction helps Ask Maps understand a traveler’s preferences, over time, the AI builds a living preference profile that improves recommendations trip after trip. And here’s the line the industry should pay attention to: The AI that helps plan the trip may ultimately control what gets discovered. Because Google Maps is already used by well over a billion people every month during travel and local discovery. 𝗡𝗼𝘄 𝗶𝗺𝗮𝗴𝗶𝗻𝗲 𝘁𝗵𝗮𝘁 𝘀𝗰𝗮𝗹𝗲 𝗽𝗮𝗶𝗿𝗲𝗱 𝘄𝗶𝘁𝗵 𝗔𝗜 𝘁𝗵𝗮𝘁 𝗵𝗲𝗹𝗽𝘀 𝗽𝗹𝗮𝗻 𝘁𝗵𝗲 𝗲𝗻𝘁𝗶𝗿𝗲 𝗷𝗼𝘂𝗿𝗻𝗲𝘆. That has big implications for hotels, cruise lines, resorts, and destinations. Travel discovery has shifted from: Search → websites → booking platforms to Conversation → AI recommendation → itinerary creation It’s about who helps the traveler plan the trip in the first place. And if Google Maps becomes that planning layer, it may quietly become one of the most powerful distribution and discovery platforms in travel. So while the travel industry has spent the last two years talking about AI… Google 𝗷𝘂𝘀𝘁 𝗲𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗶𝘁 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗶𝗻𝘁𝗼 𝗮 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝘂𝘀𝗲𝗱 𝗯𝘆 𝗯𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗼𝗳 𝘁𝗿𝗮𝘃𝗲𝗹𝗲𝗿𝘀. Sometimes the biggest disruption doesn’t come from a panel discussion. It comes from a product update. Curious how others in travel, hospitality, cruise, and destination marketing are thinking about this. We are entering the era of AI-native travel planning.