The End of Travel Websites as We Know Them: How Expedia Is Preparing for an AI-First World

The internet has rewritten the rules of travel three times in the past thirty years. First came the browser, democratizing access to flight schedules and hotel inventory. Then smartphones arrived, putting booking power in every pocket. Each wave promised to flatten the industry further—cutting friction, shrinking the role of middlemen, and pushing more of the experience into software.

But AI introduces a different possibility entirely.

What happens when people stop visiting travel websites at all?

Three Decades of Disruption—And What Comes Next

Few companies have lived through every phase of this evolution like Expedia Group. The company survived the rise of Google’s travel dominance, the collapse of desktop computing as the primary booking channel, the mobile revolution that reshaped consumer behavior, platform monopolies that squeezed margins, and a pandemic that froze global travel for two years.

For decades, Expedia controlled nearly the entire customer journey inside its own ecosystem: discovery, booking, loyalty programs, customer support, and payments. That walled garden approach worked because travelers had to come to Expedia to complete their bookings.

AI agents threaten to break that apart. They scatter pieces of the experience across chatbots, recommendation engines, and autonomous assistants that live outside any single travel platform. Instead of navigating Expedia.com, travelers might ask an AI assistant to compare flights, book a hotel, and handle changes—all without ever seeing a travel website.

The Microsoft Origins That Still Matter

Founded inside Microsoft in 1996 by Rich Barton, Expedia was built around a deceptively simple idea: ordinary people should be able to plan and book travel themselves without relying on agents or opaque reservation systems.

“I understood early that people love control,” Barton recently told Fast Company. “Expedia didn’t have business hours because the web never closes.”

The biggest hurdle back then wasn’t technical—it was psychological. Getting people to trust their credit cards on the internet required overcoming widespread skepticism about online security.

Barton sees AI producing a similar moment now. The challenge, he argues, is less about building better models than convincing users to embrace them.

“We’ve been here before,” Barton says. “Every single time, we worked through the fear and incorporated it into our lives, mostly for the better.”

That pattern matters. Each technological shift generated initial resistance, followed by gradual adoption, followed by transformation. AI is following the same trajectory.

The Mobile Pivot That Changed Everything

The major transition for Expedia came under former CEO Dara Khosrowshahi, who now runs Uber. Smartphones fundamentally changed how people booked trips—turning travel planning from a desktop activity into something that happened on couches, in coffee shops, and during commutes.

Expedia responded by consolidating scale. The company acquired Orbitz, Travelocity, and HomeAway (now Vrbo), building a portfolio that could compete with the growing influence of Google and Amazon in travel. Those acquisitions allowed Expedia to aggregate inventory, data, and loyalty programs—creating the moat that protected its business through the mobile era.

But the mobile playbook won’t work for AI. Aggregating inventory doesn’t matter if travelers never browse inventory in the traditional sense.

The Inspiration Gap Why Silicon Valley Gets It Wrong

Now comes yet another transition, one where travelers increasingly begin planning somewhere other than a travel site. They ask chatbots for hotel recommendations. They build itineraries through natural-language prompts. They use AI tools to compare destinations, prices, and routes.

But Expedia executives think much of Silicon Valley may be misunderstanding something important: generating inspiration is not the same thing as handling transactions.

“The future belongs to platforms that deliver trust, fulfillment, and accountability,” says Expedia CEO Ariane Gorin.

Her reasoning is grounded in data. “Two-thirds of our bookings come from people who come to Expedia with a specific trip already in mind,” Gorin notes. Inspiration is valuable, but conversion is where revenue lives.

What Trust Actually Means in an AI-Driven World

When a chatbot recommends a hotel, who takes responsibility if the booking goes wrong? When an AI assistant books a flight that gets canceled, who handles the rebooking? When prices change between recommendation and checkout, who eats the difference?

These aren’t theoretical concerns. They represent the fundamental tension between AI-generated convenience and the accountability that travelers expect.

Three Strategic Priorities for the AI Era

Expedia’s leadership has identified three areas where the company must evolve to survive the transition from a website-first to an AI-first world:

1. Ownership of the Transaction Layer

No matter where inspiration comes from, someone has to execute the booking. That means handling payments, managing inventory, processing cancellations, and resolving disputes. Expedia is betting that most AI companies won’t want to build this infrastructure—it’s costly, complex, and highly regulated.

“We process billions of dollars in transactions annually,” an Expedia executive noted. “That’s not something a chatbot startup can replicate overnight.”

2. Data Advantages That Stack Over Time

AI models improve with data, and Expedia sits on decades of booking behavior, pricing elasticity, and consumer preferences. This data allows the company to train models that understand travel patterns more deeply than general-purpose AI tools.

For example, an Expedia-trained AI might know that travelers who search for “budget-friendly beach hotels” in July tend to book properties within a specific price range, cancel at a predictable rate, and respond best to certain incentives.

3. Vertical Accountability

When something goes wrong with an Expedia booking, customers know whom to contact. That brand-level accountability is rare in the AI ecosystem. Chatbots can recommend trips, but they can’t call hotels to fix overbookings or refund customers when flights change.

The Playbook for Growth Teams

For B2B revenue teams watching this transformation, Expedia’s strategy offers a playbook for defending against AI-driven disintermediation:

Own the completion layer. If AI generates demand, make sure you own the transaction. Build APIs, partnerships, and integrations that let AI tools plug into your fulfillment infrastructure.

Invest in data moats. General AI models are commoditized. Industry-specific data is not. The more you know about your customers’ behavior, the harder it is for competitors—or AI companies—to replicate your value.

Become the trusted back end. Let others handle inspiration and discovery. Focus on becoming the platform that delivers reliability, accountability, and post-purchase support.

Build for headless distribution. The next generation of travel bookings might come through voice assistants, messaging apps, and contextual AI. If your systems can’t integrate with these channels, you’ll lose relevance.

What This Means for Revenue Teams

For B2B SaaS companies, the pattern is clear: AI is shifting value from front-end discovery to back-end fulfillment. The companies that survive will be those that own the transaction, not the interface.

That means:

• Sales teams should focus on integrations and partnerships that embed your product into AI-driven workflows
• Marketing teams should measure attribution across AI touchpoints, not just last-click website visits
• Product teams should build headless APIs that AI agents can consume programmatically
• Customer success should own the accountability layer that AI systems can’t replicate

Rich Barton’s insight from 1996 still holds: people want control. The difference is that in an AI world, control might mean handing off the busywork to an agent while retaining the authority to approve, cancel, or change.

The Bottom Line

Expedia has survived every major technology shift in travel because it adapted its business model without abandoning its core value proposition: making travel easier to plan, book, and manage.

The AI era will test that resilience. If travelers stop visiting travel websites, Expedia must become the invisible infrastructure behind the AI agents, chatbots, and assistants that replace them.

That means building trust into systems that have no website to trust. It means handling transactions that customers never see. And it means staying accountable for results that appear to come from somewhere else entirely.

The travel website isn’t dying tomorrow. But Expedia is already preparing for a future where it might not need one.