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The threat of AI disintermediating platforms like Booking.com is mitigated by immense operational complexity. AI firms are unlikely to want to manage global payment systems, customer service for bad travel experiences, and fragmented supplier relationships, just as Google previously avoided these challenges.
Dara Khosrowshahi argues that future travel innovation won't be in discovery, which LLMs will dominate. The real opportunity lies in creating AI agents for seamless booking and revolutionizing the "in-market" experience, such as eliminating physical hotel check-ins through mobile technology.
While AI agents could shift sales away from traditional retailers, companies with extensive physical infrastructure and forward-positioned inventory have a defense. AI agents prioritizing speed and efficiency for physical goods will likely still favor these established networks, preventing full disintermediation in the new agentic commerce landscape.
CEOs of platforms like ZocDoc and TaskRabbit are not worried about AI agent disruption. They believe the immense complexity of managing their real-world networks—like integrating with chaotic healthcare systems or vetting thousands of workers—is a defensible moat that pure software agents cannot easily replicate, giving them leverage over AI companies.
A key part of the Booking.com thesis was that Google would not truly enter the travel booking business. Google prefers earning advertising revenue and avoids the operational complexities of being a "merchant of record," running customer service, and dealing directly with a fragmented hotel market.
When a user's goal is purely transactional (e.g., booking a flight), they have little loyalty to the app's UI. AI agents can directly fulfill these tasks, making such apps obsolete because their primary value is intermediation, not a unique, loyalty-building experience.
The biggest hurdle for AI shopping agents isn't the AI, but the messy reality of retail logistics like product data and sales tax. While OpenAI focuses on the AI layer, Amazon's true advantage is its deeply entrenched commerce infrastructure, which is far harder for competitors to replicate.
The "DoorDash Problem" posits that AI agents could reduce service platforms like Uber and Airbnb to mere commodity providers. By abstracting away the user interface, agents eliminate crucial revenue streams like ads, loyalty programs, and upsells. This shifts the customer relationship to the AI, eroding the core business model of the App Store economy's biggest winners.
Fears of AI disintermediating platforms like Booking.com may be overblown. AI agents would need to replicate decades of user ratings, global payment infrastructure, and deep supplier relationships from scratch—a monumental task that makes it more likely incumbents will simply integrate AI themselves.
ZocDoc's CEO argues that because multiple AI agents (from Google, OpenAI, etc.) are competing for users, they must integrate with essential real-world services like ZocDoc, DoorDash, and Uber to be useful. This gives service platforms significant negotiating power they never had in Google's search monopoly era.
AI travel agents will likely focus on top-of-funnel search but will still need an aggregator like Amadeus to access complex, fragmented industry data. Amadeus's core IT backbone remains mission-critical in any AI-driven travel world, securing its position.