Planning a holiday used to involve multiple tabs, endless comparisons, screenshots of hotel prices, and hours spent deciding whether a destination was actually worth the budget. Today, much of that process is increasingly being handled through a single prompt.
“Plan a four-day trip to Kerala under Rs 40,000 with good food, less rain and family-friendly stays.”
That is now the kind of query travelers are typing into AI tools instead of opening ten browser windows. The travel industry has quietly become one of the strongest real-world use cases for generative AI, not because travelers are looking for futuristic experiences, but because planning a trip is already a complicated decision-making exercise.
The shift is now visible in the numbers. Adobe, which studied more than 8 million visits to U.S. travel and hospitality websites alongside a consumer survey, found that traffic from generative AI sources to travel sites rose 1,700% in February 2025 compared with July 2024. By July 2025, AI-driven traffic to travel platforms had surged 3,500% year on year. The same research found that 29% of consumers had already used AI for travel-related tasks, while 88% of those users said the experience improved their booking journey.
Another report by Deloitte showed similar movement. Its 2025 holiday travel survey found that the number of travelers expected to use generative AI for planning trips had risen to 24%, up from 16% in 2024 and just 8% in 2023.
The rapid rise of AI in travel does not necessarily mean people are allowing chatbots to book vacations independently. Instead, AI is slowly becoming the first layer of travel planning. It is helping users discover destinations, compare prices, build itineraries, manage disruptions, answer customer queries and even navigate airports. But the final transaction still largely happens on trusted travel platforms.
That balance between convenience and caution may define the next phase of AI adoption in tourism.
The trip now begins with conversation, not search
Travel is one of the few industries where AI can solve multiple consumer problems at once. A traveler searching for flights is rarely searching only for flights. They may also want nearby attractions, lower hotel prices, weather information, local transport options, restaurant suggestions and visa rules.
Traditional search breaks those tasks into separate steps. AI combines them into one interaction.
This is why conversational travel planning is expanding quickly across online travel platforms. Instead of filtering results manually, users are now describing intent in natural language.
Booking.com’s 2025 Global AI Sentiment Report, based on responses from more than 37,000 consumers across 33 countries, found that 89% of respondents wanted to use AI for future travel planning. The report also noted that travelers increasingly trusted AI assistants for recommendations more than social media influencers or travel bloggers.
Google has also moved deeper into AI-powered travel discovery. Through AI Mode and AI-generated travel planning features, the company has started integrating hotel data, flight recommendations, maps, reviews and real-time information into conversational responses. Google’s AI-powered Flight Deals feature has also expanded globally across multiple languages and markets.
For travel companies, the opportunity is not only about convenience. It is also about retaining users within their ecosystem for longer periods.
Adobe’s findings showed that travelers arriving at travel websites through AI-generated recommendations spent 36% more time on sites and had significantly lower bounce rates compared to regular users. That signals a change in consumer behavior. Travelers are no longer browsing randomly. They are arriving with more specific intent.
KAYAK CEO Steve Hafner recently described this transition as moving beyond “preset entry fields.” Instead of rigid filters, travelers are increasingly expecting platforms to understand context.
A traveler can now ask for “a quiet beach destination in September with short flights from Delhi and low humidity,” and receive structured suggestions instantly. That level of conversational filtering is changing expectations around how travel search should work.
AI is compressing the planning cycle
One of the clearest impacts of AI in travel is speed.
Tasks that previously took hours can now happen in minutes. AI tools are summarizing reviews, comparing itineraries, recommending activities and organizing schedules almost instantly.
Adobe’s travel study found that the most common uses of AI among travelers included research, destination inspiration, transportation planning, food recommendations, itinerary creation and budget management.
Deloitte’s findings suggested that AI-assisted planning is also influencing actual spending decisions. Among travelers using generative AI, 55% said restaurant recommendations led to real visits, while 46% said AI-influenced flight research affected bookings. Around 45% reported similar impact for accommodations.
The influence of AI is particularly visible among younger travelers who are already comfortable with conversational interfaces. But adoption is no longer limited to tech-savvy users.
In India, travel platforms are increasingly positioning AI as an accessibility tool rather than just a premium feature.
MakeMyTrip’s multilingual AI assistant, Myra, is one example of this shift. The company said the assistant was facilitating over 50,000 travel conversations daily after expanding support across Hindi, Bengali, Tamil, Telugu, Marathi, Malayalam, Kannada and English. More than 45% of these interactions reportedly came from Tier 2 and smaller cities.
The significance lies beyond the numbers. India’s travel market is heavily fragmented across languages and user comfort levels. Many consumers are more comfortable speaking than typing, and more comfortable using regional languages than navigating English-heavy interfaces.
AI allows travel platforms to reduce that friction.
Rajesh Magow, Group CEO of MakeMyTrip, has described the company’s focus as moving from “conversational inspiration” to “bookable outcomes.” That reflects a larger industry shift where AI is no longer being treated as a side feature but as part of the booking flow itself.
Agoda’s recent India findings also point in the same direction. According to the company, 33% of Indian travelers already use AI for travel planning, while 68% said they are likely to use it for their next trip. Recommendations for attractions, itineraries and destinations emerged as the most common use cases.
But travelers still do not fully trust AI
While AI is increasingly shaping the research phase of travel, the final booking decision remains tied to trust.
This is where the enthusiasm around AI becomes more measured.
Expedia Group’s 2026 AI Trust Gap study found that 53% of surveyed travelers were comfortable letting AI suggest travel options, and 40% were already using AI to help build itineraries. However, nearly two-thirds said they would not trust an AI assistant to independently make purchases or bookings on their behalf.
Only a small percentage said they were comfortable booking directly through AI platforms.
Xavi Amatriain, Expedia Group’s Chief AI and Data Officer, summarized the challenge directly when he said, “Travelers don’t have a technology problem with AI. They have a trust problem.”
That hesitation is understandable. Travel remains one of the most complicated categories in digital commerce. A single trip can involve multiple passengers, cancellation rules, baggage limits, visa requirements, seat preferences, airport transfers and fluctuating prices.
Consumers may trust AI to shortlist destinations, but they are still cautious about relying on it for high-stakes financial decisions.
Research by Amadeus supports this concern. In a study involving travelers across several markets including India, the company found that generative AI usage for travel planning had risen 64% year on year. Yet many respondents also reported problems with outdated information, inaccurate suggestions and recommendations that failed to match personal preferences.
That gap explains why AI currently works best as a co-pilot rather than a replacement for traditional booking systems.
Travelers still want reassurance from known brands, customer support systems and clear refund policies. AI may guide the journey, but brand trust still closes the transaction.
The bigger AI shift may happen after booking
The most visible AI tools today focus on planning and discovery. But the larger transformation may happen during the trip itself.
Travel companies are increasingly using AI behind the scenes to reduce operational friction. Airlines, hotels and airports are deploying AI for disruption management, customer service, delay prediction and real-time support.
SITA’s 2025 Air Transport IT Insights report found that 83% of airlines were already using AI for operational and passenger service functions, while more than half were using it to predict delays and disruptions.
Airports are also increasing investment in AI-led systems over the next two years.
For travelers, these changes may not always be visible, but the impact can still be significant. Faster rebooking during delays, improved baggage tracking, smoother airport navigation and quicker support responses are all becoming part of AI-assisted travel infrastructure.
Booking.com has already expanded AI beyond itinerary planning into customer service tools like AI Trip Support and AI Voice Support. Instead of functioning as standalone chatbots, these tools are now being embedded directly into booking and support journeys.
The industry is also moving toward more connected digital travel systems.
The International Air Transport Association’s 2025 passenger survey found that 78% of travelers wanted a single app that could combine travel documents, digital identity and loyalty information. Around half of surveyed travelers had already used biometric identification systems at airports.
AI becomes more useful in these environments because it works alongside connected travel data. A delayed flight can trigger hotel notifications, airport navigation updates and alternative transport suggestions automatically.
That is where the industry’s AI ambitions are heading: not toward flashy chatbot interactions alone, but toward invisible systems that reduce stress during travel.
Travel companies are now competing for AI visibility
The rise of conversational AI is also creating a new battle for visibility across the travel industry.
Earlier, online travel agencies competed for search rankings and app downloads. Now they are also competing to appear inside AI-generated recommendations.
This could reshape digital marketing strategies across tourism, hospitality and aviation.
If travelers increasingly rely on AI-generated summaries instead of scrolling through pages of search results, travel brands may need to rethink how they structure content, reviews and discovery systems.
Hotels, airlines and tourism boards are already experimenting with AI-friendly content formats, conversational customer support and predictive recommendations.
The shift may also influence influencer marketing and social media discovery. Booking.com’s survey suggested that travelers were beginning to trust AI-generated recommendations more than travel influencers in certain scenarios.
That does not mean influencers disappear from travel marketing. But it does suggest that AI is becoming another layer in how travel decisions are shaped.
For marketers, the challenge will be maintaining authenticity while adapting to AI-driven discovery systems.
The future of travel AI may be practical, not futuristic
Despite the rapid growth of AI tools across travel, the industry’s direction appears more practical than dramatic.
Most travelers are not looking for fully autonomous AI agents to control their vacations. They want tools that reduce complexity, save time and simplify decisions.
The current evidence suggests consumers are comfortable allowing AI to organize information, compare options and reduce friction. But they still want human oversight for payments, customer service and exceptions.
That balance is likely to define the next phase of travel technology.
The next trip may begin with an AI conversation instead of a search engine. The itinerary may be assembled through prompts. Airport navigation may rely on predictive systems. Customer support may start with AI before reaching a human agent.
But trust, reliability and accountability still remain central to travel decisions.
For now, AI is not replacing the travel industry. It is quietly reshaping how travelers move through it.
Disclaimer: All data points and statistics are attributed to published research studies and verified market research. All quotes are either sourced directly or attributed to public statements.