AI Is Now Your Travel Agent Across Asia

Your Next Holiday Starts With a Prompt

Across Asia, travellers are handing their itineraries to AI. The Agoda 2026 Travel Outlook Report, released this month, found that 63% of Asian travellers plan to use AI tools on their next trip. In Vietnam, the figure hits 81%, the highest rate in the region. These are not early adopters tinkering with chatbots. They are mainstream consumers who expect AI to recommend restaurants, translate menus, and build day-by-day schedules before they even book a flight.

The shift is happening fast. A year ago, AI travel planning was a novelty. Now it is becoming the default way a significant chunk of the region's 700 million-plus internet users approach trip planning.

What Travellers Actually Want AI to Do

The Agoda report breaks down how Asian travellers want to use AI, and the answers are surprisingly practical. The top three uses are recommending local attractions, providing real-time language translation, and creating personalised itineraries. This is not about replacing travel agents with chatbots. It is about solving the specific friction points that make planning a trip across Asia's diverse, multilingual region genuinely difficult.

"It's clear that the travel landscape is evolving at an unprecedented pace, and Asian travelers are at the forefront of shaping global travel in 2026. We're seeing more travelers explore lesser-known local gems, seek out culinary experiences, and lean on AI to guide their journeys." - Omri Morgenshtern, CEO, Agoda

The trust numbers are encouraging too. According to Agoda's data, 44% of respondents trust AI-generated travel information, with another 46% neutral. Only 10% actively distrust it. For a technology that barely existed in this context two years ago, those numbers suggest a tipping point.

Vietnam Leads, But the Pattern Is Regional

Vietnam's 81% figure is striking, but the pattern extends across the region. Travellers in India, Indonesia, Thailand, Malaysia, and the Philippines all show strong appetite for AI-assisted travel planning. The common thread is practical: these are markets with young, mobile-first populations who are already comfortable using super-apps for everything from food delivery to banking. Adding trip planning to the AI toolkit is a natural extension.

The generational split matters too. Younger travellers, particularly those under 35, are far more likely to use AI for travel than older demographics. In markets where the median age is under 30, which includes much of Southeast Asia, AI travel tools are not competing with established habits. They are forming the first habits.

"Gen AI innovations in particular are rapidly enabling the transformation to more and better personalisation in the industry. Any page in this report is proof that it is an exciting time to be a travel tech company headquartered in Asia." - Omri Morgenshtern, CEO, Agoda

The Tools Travellers Are Using

The AI travel ecosystem in Asia is fragmented but growing. Agoda has embedded AI directly into its platform, using machine learning to personalise search results based on user preferences and past behaviour. Trip.com, the Ctrip-owned platform, launched an AI travel assistant that builds multi-city itineraries with real-time pricing. Google's Gemini models are being integrated into travel search, and standalone AI trip planners like Layla and Wonderplan are gaining traction in the region.

The real competition is not between these tools. It is between AI-first planning and the old model of scrolling through review sites, blog posts, and forum threads. For a generation that grew up swiping, typing a prompt and getting a complete itinerary in seconds is simply more natural.

AI Travel Use Case	Adoption Rate	Leading Markets
Local attraction recommendations	Highest demand	Vietnam, India, Thailand
Real-time language translation	Second highest	Japan, South Korea, Thailand
Personalised itinerary creation	Third highest	Vietnam, Indonesia, Philippines
Dining and restaurant suggestions	Growing	Japan, Thailand, Malaysia
Price comparison and deal finding	Established	India, Indonesia, Vietnam

What Could Go Wrong

AI travel planning is not without risk. Hallucinated recommendations are a real problem: AI suggesting restaurants that do not exist, hotels that closed years ago, or attractions with incorrect opening hours. In markets with less digital infrastructure, where business listings are unreliable or outdated, the hallucination problem is worse.

There is also a homogenisation risk. If every traveller in Hanoi asks an AI for restaurant recommendations, they will all end up at the same places. The very local gems that Agoda's CEO celebrates could be overwhelmed by AI-directed foot traffic, while genuinely hidden spots that lack a digital footprint remain invisible.

• AI itinerary tools struggle with real-time disruptions like weather, strikes, or sudden closures, which are common across the region
• Language translation accuracy varies significantly between well-resourced languages like Japanese and under-resourced ones like Khmer or Lao
• Privacy concerns around location data and travel preferences are growing, particularly in markets with weaker data protection laws
• Over-reliance on AI recommendations could reduce the serendipity that makes travel memorable

The Business Opportunity

For the travel industry, AI adoption among Asian consumers is both a threat and an opportunity. Online travel agencies like Agoda and Trip.com are embedding AI to increase engagement and conversion. Airlines including AirAsia and Singapore Airlines are testing AI-powered customer service agents. Hotel chains are experimenting with AI concierge tools.

The opportunity is in personalisation at scale. Asia's travel market is enormous and diverse, with wildly different preferences across countries, age groups, and travel styles. AI that can match a budget backpacker in Jakarta with the right guesthouse in Bali, while simultaneously planning a luxury wellness retreat for a couple from Seoul, is commercially powerful.

The AIinASIA View: We are watching the early stages of a fundamental shift in how Asian consumers plan and experience travel. The 63% adoption figure is remarkable for technology this young, but the more telling number is Vietnam's 81%. That is not experimentation. That is a new default behaviour forming in real time. The winners will be platforms that integrate AI deeply enough to handle the messy reality of Asian travel: multiple languages, unreliable listings, last-minute changes, and wildly different price sensitivities. The losers will be those who treat AI as a chatbot bolted onto a booking engine. This is now a personalisation arms race, and it will reshape the $400 billion Asian travel market within three years.

Which Asian country uses AI for travel planning the most?

Vietnam leads the region, with 81% of travellers likely to use AI for trip planning according to the Agoda 2026 Travel Outlook Report. The regional average across Asia is 63%, with India, Indonesia, Thailand, and the Philippines also showing strong adoption.

What do Asian travellers use AI for when planning trips?

The top three uses are recommending local attractions and activities, real-time language translation, and creating personalised itineraries. Dining recommendations and price comparison are also growing use cases across the region.

Can AI travel tools be trusted for accurate recommendations?

Trust is growing but not universal. Agoda's survey found 44% of travellers actively trust AI travel information and 46% are neutral. Hallucinated recommendations, such as non-existent restaurants or incorrect hours, remain a known problem, particularly in markets with less digital infrastructure.

Which AI travel tools are popular in Asia?

Major platforms include Agoda's built-in AI recommendations, Trip.com's AI travel assistant, Google's Gemini-powered travel search, and standalone planners like Layla and Wonderplan. Super-apps in specific markets are also integrating travel AI features.

Eight out of ten Vietnamese travellers are ready to let AI plan their holidays. Are you handing your next trip to a chatbot, or do you still trust your own instincts? Drop your take in the comments below.