The rapid ascent of generative artificial intelligence has brought the global travel industry to a critical strategic crossroads. For decades, online travel agencies (OTAs) and hospitality brands have operated within a relatively stable digital ecosystem dominated by search engine marketing, metasearch optimization, and direct-to-consumer mobile applications. However, the emergence of "agentic" AI—platforms powered by artificial intelligence that do not merely answer queries but actively execute complex tasks on behalf of users—is disrupting this established order.
At the center of this technological shift is a fundamental dilemma that every travel company with a direct sales channel must confront: when a powerful new third-party platform gains rapid traction among consumers, do you integrate your inventory and risk losing direct control over the customer relationship, or do you opt out to protect your brand ecosystem, risking digital invisibility?
Speaking at the Skift Global Forum in a featured session moderated by Skift’s Dennis Schaal, Expedia Group CEO Ariane Gorin addressed this high-stakes challenge head-on. Gorin revealed that Expedia has chosen engagement over isolation, confirming that the travel giant will participate in Meta’s Muse, a newly launched AI agent that has quickly captured the industry’s attention.
The decision highlights a broader, highly experimental strategy at Expedia. Rather than waiting for a clear winner to emerge in the generative AI race, the company is actively collaborating with the world’s leading technology pioneers, including Google, OpenAI, Anthropic, and Meta. As Gorin explained, the fast-moving nature of the technology demands an active presence: "You want to be at the table as discussions evolve."
The "Instant Hit" of Meta Muse and the Push for Agentic Travel
To understand Expedia’s decision to join Meta’s Muse, one must look at the rapid velocity of the platform’s adoption. Just two weeks after its public debut, the Wall Street Journal declared Muse an "instant hit." Built upon Meta’s massive social and messaging ecosystem, Muse represents a significant leap forward from the static chatbots of the past decade. It operates as an agentic AI, meaning it can synthesize user preferences, browse real-time travel inventory, suggest highly personalized itineraries, and ultimately facilitate the booking process through natural language conversations.
For a distribution powerhouse like Expedia, a platform like Muse represents both an extraordinary opportunity and a structural challenge. On one hand, Meta’s enormous global reach across Instagram, WhatsApp, and Facebook provides an unparalleled funnel for consumer inspiration and intent. On the other hand, allowing an AI agent to act as the intermediary between the traveler and Expedia’s booking engine threatens to dilute the direct customer relationship that OTAs have spent billions of dollars cultivating.
Gorin’s decision to integrate with Muse suggests that Expedia views the risk of omission as far greater than the risk of participation. In the consumer internet economy, platforms that successfully capture user attention during the discovery phase of a journey inevitably control the downstream transaction. By ensuring that Expedia’s vast inventory of flights, hotels, vacation rentals, and car rentals is deeply integrated into Muse from day one, the company positions itself as the transaction engine behind Meta’s user interface.
The Strategic Tug-of-War: Direct Channels vs. Third-Party AI Agents
The tension between maintaining a proprietary direct channel and leveraging third-party aggregators is not new to the travel industry. Two decades ago, the rise of search engines like Google forced hotels and airlines to decide whether to pay for traffic or focus exclusively on direct bookings. Later, the rise of metasearch engines like Kayak and Trivago introduced a similar friction.
However, agentic AI raises the stakes of this traditional conflict. Unlike a traditional search engine, which presents a user with a list of blue links and redirects them to a brand’s website to complete a purchase, an AI agent aims to handle the entire transaction within its own conversational interface. If a consumer can plan, customize, and book a multi-city European vacation entirely inside a WhatsApp chat powered by Meta Muse, the traditional OTA website risks becoming an invisible backend utility.
Traditional Search Flow:
User Query -> Search Engine (Google) -> Blue Links -> OTA Website (Expedia) -> Direct Booking
Agentic AI Flow:
User Query -> AI Agent (Meta Muse) -> Conversational Planning -> Backend API (Expedia) -> In-App BookingDuring her discussion with Schaal, Gorin acknowledged these dynamics but emphasized that the current era of AI development requires flexibility and experimentation rather than rigid defensive postures. By taking a case-by-case approach, Expedia can evaluate how different platforms handle user data, brand attribution, and customer service handoffs.
This experimental mindset is critical because the economics of AI-driven travel distribution remain entirely unwritten. How will referral fees be structured? Who owns the customer profile when a booking is made via an AI agent? How will customer service issues be resolved when a flight is canceled? By participating in the early stages of platforms like Muse, Expedia can actively help shape the answers to these industry-defining questions.
Inside Expedia’s Multi-Front AI Strategy
Expedia’s partnership with Meta is not an isolated bet. Gorin revealed that the company has deployed dedicated teams to engage concurrently with the major powerhouses of the generative AI landscape: Google, OpenAI, Anthropic, and Meta.
This diversified approach serves as a strategic hedge against an uncertain future. Each of these technology giants approaches generative AI from a distinct angle, offering unique advantages to a travel partner:
- Google: As the undisputed starting point for global travel searches, Google’s integration of generative AI into its core search experience (via Gemini and Search Generative Experience) is of paramount importance to Expedia. Maintaining visibility in Google’s evolving search layouts is vital for organic and paid traffic.
- OpenAI: Through its ChatGPT platform, OpenAI has pioneered consumer-facing conversational AI. Expedia was an early adopter of ChatGPT plugins, and continuing to collaborate with OpenAI allows Expedia to study how users interact with pure-play AI assistants when planning travel.
- Anthropic: Known for its focus on safety, steerability, and deep contextual understanding, Anthropic’s Claude models offer powerful capabilities for processing complex, unstructured travel data and powering sophisticated customer service agents.
- Meta: With its unparalleled social footprint and messaging dominance through WhatsApp and Messenger, Meta provides the ideal environment for conversational, social-driven travel discovery and commerce.
By dedicating engineering and business development resources to all four of these players, Expedia avoids the risk of tethering its fortunes to a single ecosystem. It also ensures that no matter which platform wins the favor of the consumer, Expedia’s inventory, pricing algorithms, and booking capabilities will be deeply embedded in their systems.
The Transition to the Gorin Era: Tech Consolidation Meets Market Innovation
The strategic agility described by Gorin at the Skift Global Forum is the direct result of a multi-year technology transformation within Expedia Group. To appreciate how Expedia can deploy multiple teams to collaborate with different AI giants simultaneously, one must look at the company’s recent operational history.
Under the leadership of Gorin’s predecessor, Peter Kern, Expedia undertook a massive, highly complex migration to unify its disparate brand architectures. Historically, brands like Expedia, Hotels.com, and Vrbo operated on separate technology stacks, databases, and loyalty programs. This fragmentation meant that an innovation developed for one brand could not easily be deployed to another.
The consolidation process, though operationally disruptive, successfully created a single, unified front-end and back-end platform. It also paved the way for the launch of One Key, a unified loyalty program spanning Expedia, Hotels.com, and Vrbo.
When Ariane Gorin assumed the role of CEO in May 2024, she inherited a company that had finished its heavy internal restructuring and was ready to shift its focus outward. Gorin, who previously ran Expedia Partner Solutions—the company’s highly successful B2B division—brought a deep understanding of APIs, third-party distribution, and partner relationships to the chief executive office.
Under her leadership, Expedia is leveraging its unified technology stack to connect with external AI platforms at unprecedented speed. Because the company’s inventory and data pipelines are now centralized, Expedia can expose a single, robust set of APIs to partners like Meta, OpenAI, and Google, allowing for rapid deployment and iteration across multiple AI frontends.
Navigating the Unknown: A Playbook for the Wider Travel Ecosystem
The insights shared by Gorin at the Skift Global Forum offer a valuable blueprint for other players in the travel ecosystem, from major airlines and global hotel chains to boutique operators and localized tour agencies.
For many travel executives, the sheer pace of AI development has induced a state of analysis paralysis. The fear of making a costly mistake on a platform that might become obsolete in a year often leads to inaction. Gorin’s perspective challenges this cautious approach. The core takeaway for any travel company observing the growth of agentic AI is clear: you do not need to know exactly where the technology will land to understand that you must monitor and engage with it at every step of the journey.
In a rapidly changing digital landscape, waiting for perfect clarity is a high-risk strategy. By the time a platform’s dominant position is universally acknowledged, the early adopters have already optimized their integrations, secured favorable commercial terms, and captured the initial wave of customer loyalty.
For Expedia, being "at the table" means actively experimenting with how AI agents interpret natural language requests, how they match traveler intent with inventory, and how they handle the friction points of booking. These learnings are invaluable, feeding directly back into Expedia’s own direct-channel applications and AI assistant, Romie.
Ultimately, the rise of agentic AI platforms like Meta’s Muse does not signal the death of the direct travel channel. Rather, it redefines the direct channel’s role. In this new paradigm, success will belong to companies that can master a dual strategy: building highly personalized, high-retention direct experiences on their own apps, while simultaneously serving as the trusted, high-performance transaction engines for the AI assistants of the future. By embracing Meta’s Muse and actively collaborating with the architects of the AI revolution, Expedia is positioning itself to do both.
