Travel once began with a conversation. You called a travel agent, described where you wanted to go, waited for options, compared prices, collected printed tickets and hoped that every detail of the itinerary would fall into place. The internet changed that rhythm dramatically, and few companies were as closely associated with that transformation as Expedia. What began in 1996 as a division of Microsoft became one of the early platforms to let people research and book travel online, moving the travel-planning experience from the traditional agency desk to the personal computer.
Three decades later, the basic idea of booking travel online feels almost ordinary. Flights can be compared in seconds, hotel rooms can be reserved from a phone, itineraries can be shared with friends and changes can often be managed without speaking to an agent. Yet the bigger story is not simply that Expedia made travel bookings digital. It helped reshape the expectations surrounding travel itself: people began to expect choice, transparency, speed and control. Today, Expedia Group is attempting another transformation, this time using artificial intelligence to move beyond search and booking toward more personalized, conversational and increasingly automated journeys.
From Travel Agents to a Search Box
When Expedia.com launched in 1996, online travel was still a relatively unfamiliar concept. The company emerged from Microsoft with the ambition of using technology to give travelers greater control over their trips. Instead of relying entirely on a travel professional to assemble an itinerary, consumers could begin researching destinations, comparing travel options and making reservations themselves through the internet.
That shift may sound straightforward today, but it represented a major change in consumer behavior. Travel had traditionally involved fragmented information: airline schedules were in one place, hotel brochures somewhere else, and recommendations often depended on personal networks or travel agents. An online travel platform brought much of that information into a single digital environment. The traveller was no longer simply receiving an itinerary; they were actively building one.
This was the beginning of a broader online travel revolution. As internet adoption expanded, consumers became increasingly comfortable searching for flights and accommodation themselves. The travel industry gradually moved from a model based largely on personal assistance toward one in which digital discovery, comparison and self-service became central to the customer experience. Expedia’s early positioning was therefore about more than convenience. It reflected a fundamental change in who controlled the travel-planning process.
The Rise of the Online Travel Marketplace
Expedia’s evolution also coincided with a larger transformation in how travel products were distributed. Hotels, airlines, rental cars and activities could increasingly be discovered through digital platforms, creating a marketplace in which travelers could compare different options before committing to a purchase.
That comparison culture changed consumer expectations. Once people became accustomed to seeing multiple hotels, destinations and prices on the same screen, simply having an option was no longer enough. Travelers wanted to understand what they were getting, how much it would cost and whether another option might offer better value.
Over time, online travel platforms became more sophisticated. The experience moved from basic reservation functionality toward personalized recommendations, mobile applications, itinerary management, loyalty ecosystems and tools designed to support travelers before, during and after a trip. Expedia Group now describes its marketplace as spanning lodging, air, car rentals, activities and other travel products, reflecting how much broader the digital travel ecosystem has become since the company’s early days.
The smartphone accelerated this transformation again. Travel planning no longer needed to happen at a desktop computer weeks before departure. It could happen while sitting in an airport, walking through a new city or deciding what to do that evening. The booking platform increasingly became a travel companion rather than simply a digital reservation counter.
Travel Planning Became a Digital Experience
One of the most important changes brought by online travel platforms was the gradual disappearance of the boundary between inspiration and booking. A traveller might begin by looking at photographs of a destination, compare hotels, check flights, save activities and eventually make a reservation without ever leaving the same digital ecosystem.
Expedia’s Trip Planner illustrates this progression. Travelers can save destinations, hotels and activities, compare possibilities and collaborate with other people on a trip, while external bookings can also be imported. Expedia has also introduced AI-assisted itinerary-building capabilities designed to generate day-by-day recommendations based on a traveller’s plans and preferences.
This matters because modern travel decisions are rarely about one transaction. A vacation involves a chain of interconnected choices: where to go, when to travel, which flight to take, where to stay, what to see, where to eat and how to respond when something changes. The digital travel experience has increasingly tried to connect those decisions rather than treating each booking as an isolated purchase.
The result is a subtle but important change in consumer behavior. Travelers are no longer simply asking, “Where can I book a hotel?” They are asking broader questions such as, “What should I do in Barcelona for four days?” or “Which destination works for my budget, interests and schedule?” That shift from transactional search to contextual planning is where artificial intelligence becomes particularly significant.
Enter AI: When Search Starts to Feel Like Conversation
Artificial intelligence is changing travel at the same moment it is changing search across the wider internet. Instead of entering a collection of keywords and manually sorting through results, travelers can increasingly describe what they want in natural language.
Imagine telling a travel assistant that you want a four-day European getaway, prefer boutique hotels, enjoy local food, dislike early mornings and want most attractions to be within walking distance. A conventional search engine would require multiple filters and separate searches. An AI-powered system can potentially interpret those preferences as a single travel brief.
Expedia Group has been developing this direction through several AI initiatives. In 2024, the company introduced Romie, an experimental AI travel assistant designed to help with planning, shopping, booking and changes during a trip. The concept was built around personalization, with Romie intended to learn travellers’ preferences and assist across different stages of the journey.
The significance of this approach is not that AI can generate a list of destinations. It is that travel planning can become more contextual. Instead of simply matching keywords to inventory, an intelligent system can attempt to understand the relationship between preferences, budget, timing, location and previous choices.
From Inspiration to an AI-Powered Itinerary
Expedia’s more recent AI strategy has expanded beyond its own traditional booking interface. In 2025, the company announced Expedia Trip Matching, an experience designed to turn travel-related Instagram Reels into personalized travel recommendations and itineraries. The concept reflects a major change in how people discover destinations: travel inspiration increasingly begins with social media rather than a dedicated travel search.
This creates an interesting bridge between content and commerce. A traveller might see a Reel featuring a coastal town, save it for later and eventually want to turn that inspiration into an actual trip. AI can potentially shorten the distance between those two moments by interpreting the content and connecting it with destinations, accommodation, activities and booking options.
The company has also explored integrations with AI platforms such as OpenAI’s Operator and Microsoft Copilot Actions, reflecting Expedia Group’s effort to make travel discovery accessible through channels beyond its traditional websites and apps.
This represents a deeper evolution in online travel. The question is no longer only whether a consumer visits Expedia to search for a trip. Increasingly, the question is whether Expedia’s travel inventory, data and booking capabilities can become part of wherever that consumer begins planning.
The Move From Recommendations to Intelligent Assistance
The next stage of AI-powered travel is more ambitious: moving from recommending what travelers could do to helping them actually manage what happens.
Expedia Group has described an emerging vision in which AI agents could assemble an end-to-end itinerary, consider factors such as flight performance and hotel accessibility, package travel experiences and respond when unexpected disruptions occur. In one example outlined by the company, an AI system could potentially adjust plans following a weather disruption rather than simply informing the traveller that something went wrong.
That distinction is important. Traditional recommendation systems answer questions. Agentic systems are designed to take actions. In travel, that could eventually mean an assistant that does more than say, “Here are five hotels.” It could understand the trip, make recommendations, help arrange bookings and assist with changes. Expedia’s AI vision therefore points toward a travel experience in which the technology increasingly handles the complexity behind the scenes while the traveller remains focused on the experience itself.
The Data Behind Personalization
AI-powered travel experiences depend on something travelers rarely see: enormous amounts of structured and unstructured information Expedia Group says it has more than 70 petabytes of historical and real-time travel data and that hundreds of AI model s across its ecosystem make more than 900 billion predictions each year. These systems can support personalization, search, fraud detection, partner services and other parts of the travel marketplace.
The importance of data becomes clearer when considering how complicated a travel decision can be. A hotel recommendation is not simply about location. It can involve price, dates, room type, guest reviews, amenities, neighbourhood, accessibility, previous preferences and countless other signals. The more accurately a system can understand those variables, the more relevant its recommendations can potentially become.
Expedia’s 2025 global impact reporting also describes a machine-learning personalization engine designed to tailor search results to individual traveller preferences, alongside AI-based fraud detection systems.
In other words, the AI transformation is not limited to the chatbot travelers see on a screen. Much of it happens underneath the interface, influencing how inventory is organized, how recommendations are generated and how travel businesses manage their operations.
But AI Cannot Remove the Human Question of Trust
For all the excitement surrounding AI travel planning, there is an important reality: travelers still care deeply about trust. Expedia Group’s 2026 research into the AI trust gap found that travelers were more comfortable using AI for suggestions than allowing it to make purchases on their behalf. The study surveyed travelers in the United States, United Kingdom and India and reported that 53% were comfortable with AI suggesting options, while 66% said they would not trust AI to buy or book something for them.
That hesitation makes sense. A restaurant recommendation can be corrected. A poor hotel choice can be frustrating. But an incorrect flight booking, missed connection or expensive cancellation can have much bigger consequences.
Expedia itself also acknowledges that its AI tools generate machine-produced responses and that recommendations may incorporate publicly available information whose accuracy has not necessarily been verified by Expedia.
The future of AI-powered travel, therefore, is unlikely to be defined simply by how much automation companies can introduce. It will also depend on how effectively they combine automation with transparency, safeguards and human support.
Expedia’s Bigger Transformation: From Booking Platform to Travel Intelligence
Looking back, Expedia’s journey can be understood as a series of technological shifts. The first was moving travel research and reservations online. The next was making that experience mobile, personalized and increasingly connected. Now the company is exploring a world in which artificial intelligence can understand a traveller’s intent and help coordinate the journey around it.
That is a significant evolution from the original online booking model. In the 1990s, the breakthrough was giving consumers access to travel inventory through a computer. Today, the challenge is making millions of possible combinations feel understandable and relevant to an individual traveller.
The strongest version of this future is not necessarily a world in which people stop making travel decisions. Instead, it could be a world in which technology removes much of the administrative work surrounding those decisions. Travelers could spend less time comparing dozens of tabs and more time deciding what kind of experience they actually want.
Expedia’s own description of its current direction emphasizes the combination of advanced technology and human expertise, alongside proactive support and safeguards.
The Future of Travel May Be Less About Booking and More About Orchestration
The most interesting part of Expedia’s story is that the company is no longer competing only in the traditional definition of online travel booking. Travel is becoming an interconnected digital journey in which inspiration, planning, discovery, purchasing and customer service increasingly overlap.
AI has the potential to make that journey feel more personal. A traveller may not need to know exactly which hotel they want before beginning the search. They may simply describe the kind of experience they want, and the system can help translate that idea into practical choices.
That does not mean the travel agent disappears, nor does it mean every traveller will want an AI assistant managing their vacation. Expedia’s own research shows that trust remains a significant consideration, while the company continues to position human expertise alongside technology.
What has changed is the role technology can play. Expedia began by helping people book trips online. It evolved into a broader marketplace for travel discovery and reservations. Now it is working toward something more ambitious: an intelligent travel ecosystem capable of understanding context, anticipating needs and helping travelers navigate complexity.
The journey from a Microsoft startup in 1996 to an AI-driven travel technology company in 2026 mirrors the transformation of travel itself. The first digital revolution put the world of travel on a screen. The next one put it in a smartphone. The emerging AI revolution could make that screen feel less like a search engine and more like a conversation with a highly informed travel assistant.
And perhaps that is the real story behind Expedia’s evolution. The company did not simply change how people book travel. It helped change what travelers expect technology to do for them. The next chapter will be about whether AI can turn those expectations into journeys that are not only faster and more personalized, but also trustworthy enough to become an everyday part of how the world travels.
Affiliate Disclosure: This article may contain affiliate links. If you purchase a product or sign up for a service through one of these links, we may earn a commission at no additional cost to you. Our reviews and opinions are based on our editorial assessment and are not influenced solely by affiliate compensation.
