to leave a comment.

▲ Photo: AI-generated image
Ahead of a long holiday, many people have likely experienced the exhaustion of trying to plan a trip, ending up with dozens of browser tabs open. The process of refreshing price comparison sites to find the cheapest flights, opening map apps to calculate travel times between accommodations and attractions, and sifting through blogs and social media to find reliable restaurants can wear a person out even before the trip begins.
However, when asked recently, an AI assistant was told, "Plan a 3-night, 4-day Fukuoka hot spring trip for my parents in the first week of October. Keep travel routes within a 15-minute walk and set everything up, including accommodation, just before booking, to match a total budget of 2.5 million won." In less than a minute, a perfect customized itinerary and optimal booking links appeared.
Recently, as collaboration between major global tech companies and online travel platforms (OTAs) accelerates, generative AI, which previously only provided text responses, is evolving into 'autonomous travel agents' that handle actual travel bookings and execution. Leading companies like Google and OpenAI are expanding direct data linkages with global airlines, major hotel booking networks, and local mobility services. AI has reached a level where it can comprehensively consider real-time seat availability, room vacancy rates, and even seasonal weather forecasts to assemble personalized travel packages for users in real time.
This technological shift brings significant convenience to modern people's leisure and consumption lifestyles. In the past, one had to either use professional travel agency packages or endure days of search labor, but now, a personalized independent travel itinerary can be completed with just a few conversations.
In particular, in the fintech and blockchain industries, AI travel assistants are proposing stablecoin debit cards or digital wallet-linked payments advantageous for local currency transactions to reduce currency exchange fees during overseas travel, and are continuing practical experiments to link mobile decentralized identifiers (DIDs), which have no risk of loss, with check-ins.
However, behind the impressive execution capabilities of AI assistants, there are 'financial risks' that consumers must be aware of. The most common pitfalls are 'non-refundable policies and hidden additional costs.'
To meet the entered budget conditions, AI tends to prioritize seemingly cheapest options such as 'non-refundable' policies, rooms without breakfast, or low-cost airline tickets that exclude baggage fees. If a schedule changes due to personal circumstances or a flight is canceled due to adverse local weather, consumers might have to bear cancellation fees amounting to hundreds of thousands of won.
Therefore, the most important consumer habit when using an AI travel assistant is 'manual re-examination of booking conditions.' While you can fully entrust AI with the arduous tasks of itinerary planning, route optimization, and searching for the lowest prices, on the screen just before payment approval, you must personally verify with your own eyes the 'free cancellation deadline,' 'whether local payment taxes are included,' and 'checked baggage regulations.'
By taming a smart AI assistant to escape tiresome search labor, but by holding the final safety pin to protect your wallet yourself, you can truly enjoy a comfortable vacation.
Newsletter
Get key news delivered to your email every morning
to leave a comment.