56% of travelers are willing to discover new, off-the-beaten-path destinations and experiences in an effort to get off the beaten track, and 48% would trust artificial intelligence (AI) to plan the trip for them , as a recent survey by Booking.com finds.
By adopting Genetic Artificial Intelligence, travelers have a unique opportunity to identify experiences that are more aligned with this intent to seek the unknown—a significant shift away from relying on traditional search methods and specifics.
In this direction, Booking.com’s AI Trip Planner, with its creative conversations, which capture the true intention of the travelers’ search, is the ideal “tool”.
However, as Booking.com points out, “pros” looking for “beach destinations” may find accommodation in Italy, Portugal or Greece, but this may not meet their expectations for something more adventurous or spectacular.
But creative conversational prompts like: “Show me beach houses in Italian cities that are less crowded with tourists and more popular with locals” or “Create a two-week trip to Japan with nature attractions that are kid-friendly” will “unlock” more personalized results, bringing to the surface unique proposals and satisfying needs, which are usually not served by traditional search filters.
“Consumers are increasingly comfortable with GenAI doing the ‘heavy lifting’ of travel discovery and planning, especially when they see how much time it saves compared to traditional methods,” said Joe Futty, VP of Product Marketplace at Booking.com.
The research profile
The “Travel Predictions 2024” survey was conducted on behalf of Booking.com among a sample of adults who intend to travel for business or pleasure in the next 12-24 months.
In total, 27,730 people from 33 countries and destinations participated – namely 1008 from Argentina, 1012 from Australia, 505 from Austria, 1001 from Belgium, 1002 from Brazil, 1009 from Canada, 1009 from China, 1002 from Colombia, 508 from Croatia, 504 from Denmark, 1011 from France, 1011 from Germany, 1016 from Hong Kong, 1004 from India, 510 from Ireland, 504 from Israel, 1014 from Italy, 1004 from Japan, 1009 from Mexico, 1014 from the Netherlands, 1015 from New Zealand, 500 from Portugal, 502 from Singapore, 1010 from South Korea, 1009 from Spain, 502 from Sweden, 507 from Switzerland, 504 from Taiwan, 1003 from Thailand, 502 from the United Arab Emirates, 1007 from the United Kingdom, 1005 from the USA and 1007 from Vietnam.
Respondents completed an online survey in July 2023.
