Asia’s travel economy is entering a new digital era as artificial intelligence transforms how visitors discover destinations, build itineraries and approach bookings.
China and India currently lead AI-assisted travel inspiration, with 44 per cent and 42 per cent of travellers using chat tools respectively. Meanwhile, 62 per cent of South Korean travellers say they are likely to use AI for their next trip.
Across Asia Pacific, 49 per cent of travellers use AI to discover destinations and travel ideas. Another 41 per cent gather reviews and recommendations, while 35 per cent use the technology to find local tours and activities.
However, the shift does not signal the disappearance of traditional travel agents. AI remains strongest during discovery and early planning. Human specialists retain an advantage when itineraries involve substantial costs, complicated connections, disruptions or individual requirements.
The emerging model is therefore hybrid. Algorithms reduce the research burden, while people provide judgement, reassurance and accountability.
China and India lead travel inspiration
China and India have become prominent markets for AI-powered travel discovery.
Their travellers also use social media, search engines and booking platforms extensively. Consequently, chat tools are joining an already diverse research process rather than replacing established channels completely.
India shows particularly strong future intent. Although 33 per cent of Indian travellers currently use AI for trip planning, 68 per cent expect to use it for their next journey.
Indian users are interested in several applications. Local attraction recommendations lead at 38 per cent, followed by personalised itineraries at 37 per cent. Destination suggestions, dining advice and budget management also attract demand.
Trust is relatively strong, with 53 per cent of Indian respondents expressing confidence in AI-generated travel information. Another 36 per cent remain neutral, leaving a smaller group that actively distrusts the technology.
South Korea embraces a hybrid approach
South Korea sits among Asia’s faster-moving AI travel markets, although confidence has not advanced at the same rate as usage.
While 62 per cent of South Korean travellers expect to use AI for their next trip, only 38 per cent trust the information it generates. Nearly half remain neutral.
This gap suggests that many travellers view AI as an assistant rather than a final authority. They may use it to compare destinations or draft an itinerary before checking recommendations elsewhere.
That behaviour gives tourism businesses an important signal. Hotels, airlines and attractions must make accurate information accessible to AI-driven discovery while maintaining trusted direct channels.
Clear room conditions, operating times, transport details and cancellation policies will become essential. Travellers must be able to verify an AI recommendation before spending money.
Southeast Asia accelerates adoption
Vietnam has recorded the region’s strongest future-use signal, with 81 per cent of surveyed travellers likely to use AI for their next journey.
However, only 28 per cent trust AI-generated information, while 59 per cent remain neutral. The contrast shows that willingness to experiment does not equal complete confidence.
Indonesia and Thailand each recorded 69 per cent future-use intent. Malaysia reached 59 per cent, demonstrating that adoption is spreading across Southeast Asia.
Thailand stands out for stronger trust, with 57 per cent of respondents expressing confidence in AI travel information. Its tourism authorities are also expanding digital visitor services, including AI-driven assistance through the Amazing Thailand application.
These tools could help destinations direct visitors towards emerging locations, local businesses and less crowded attractions. Personalised discovery may therefore support wider distribution of tourism revenue.
Japan reveals a more cautious market
Japan provides a counterweight to the rapid regional shift.
Only 29 per cent of Japanese travellers said they were likely to use AI for their next trip. Meanwhile, 44 per cent considered future use unlikely, and 20 per cent expressed distrust in AI-generated information.
Other research still indicates that Japanese travellers experiment with AI for destination discovery and overall planning. However, usage declines sharply when they reach flight booking.
The difference highlights why AI adoption cannot be measured through one number. Finding inspiration, preparing an itinerary and allowing software to influence a transaction involve different levels of risk and trust.
Travel companies move faster than consumers
Asia Pacific travel businesses are adopting AI rapidly. Around 79 per cent already use it, while 97 per cent plan future implementation.
Airlines, hotels and agencies are applying the technology to customer service, content, pricing and booking support. AI is therefore entering both the consumer journey and the systems operating behind it.
Booking tools can answer last-minute questions about prices, promotions and cancellation terms. This may reduce friction when customers hesitate before completing a reservation.
Nevertheless, accuracy will determine whether travellers accept deeper automation. Incorrect visa advice, outdated schedules or unclear conditions can quickly damage confidence.
Human agents retain the complex journeys
Traditional agents remain valuable for luxury holidays, corporate trips, disruption management and multi-country itineraries.
AI can generate choices quickly, but agents offer negotiation, specialist access and responsibility when plans fail. Their role may shift away from basic research towards solving expensive and emotionally important travel problems.
Travellers should use AI to explore possibilities but verify visas, safety requirements and operating information through official authorities and travel providers.
Asia’s transformation is therefore not a contest with one winner. The strongest travel model will combine AI’s speed with human expertise, giving travellers broader discovery while preserving trusted support when judgement matters most.
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