Planning a holiday used to mean a combination of guidebooks, browser tabs, spreadsheets and recommendations from friends and family. Today, travellers have access to almost unlimited information, but having more information does not necessarily make planning a trip easier.
In fact, the opposite can often be true.
Search for the best hotels, restaurants or things to do in any major destination and you can quickly find yourself working through hundreds of options, trying to work out which recommendations are genuinely relevant to you. Add flights, transport, budgets, opening times and different people’s preferences into the equation and holiday planning can become a project in itself.
Artificial intelligence is beginning to change that.
Rather than simply helping people find information, AI has the potential to understand what a traveller is trying to achieve and turn a huge amount of information into something much more useful: a personalised holiday plan.
From Searching for Information to Getting Advice
One of the biggest changes AI brings to travel planning is the move away from traditional search.
A conventional search engine is designed to help you find information. An AI assistant can potentially help you interpret that information and apply it to your particular circumstances.
For example, a traveller might previously have searched for “best restaurants in Rome”, “things to do in Rome” and “Rome attractions for children” before manually piecing together the results.
With AI, they can instead describe the type of holiday they want and have a conversation about it.
They could explain that they are travelling with two children, have five days, want to see the major sights but don’t want every day to be packed, and have a particular budget for food and activities. The AI can then use those requirements as the basis for its suggestions.
The difference is subtle but important. The technology is no longer simply helping someone find information; it is helping them make decisions.
Building the Perfect Itinerary
Not every holiday needs a carefully planned itinerary. For some trips, the perfect schedule might simply be “eat, pool, eat, beach, repeat”. And sometimes, that’s exactly what you want from a holiday.
Other trips are a little more complicated.
Florida holidays, for example, can involve theme parks, water parks, shopping, restaurants, beaches and day trips, all spread across a surprisingly large area. Trying to fit everything in without spending half your holiday sitting in traffic requires a little more thought.
This is where AI could become particularly useful.
Rather than simply asking an AI tool to “plan my Florida holiday”, travellers can provide much more specific information: how many days they have, where they’re staying, which theme parks they want to visit, whether they have children, what they enjoy doing, and how much time they want to spend relaxing.
AI can then help build an itinerary around those preferences, suggesting which activities could be combined, where it makes sense to eat, when to schedule a rest day and how to avoid creating an exhausting sequence of early starts and late finishes.
The technology could also adapt the plan as circumstances change. A rainy day, a fully booked restaurant or a change of plans doesn’t necessarily mean starting again from scratch. An AI travel assistant could potentially reorganise the rest of the itinerary around the new circumstances while taking the traveller’s original preferences into account.
For more complex holidays, this could turn AI from a simple source of suggestions into something closer to a personal travel planner.
Personalisation Could Become the Biggest Advantage
Travel recommendations have traditionally been fairly generic.
A hotel might be described as “great for families”, for example, but what does that actually mean? Does it have interconnected rooms? A children’s pool? A kitchen? Is it close to the attractions? Does it offer the type of facilities that a particular family actually cares about?
AI can potentially take personal preferences much further.
Over time, a travel assistant could learn that a particular traveller prefers smaller hotels, avoids early morning flights, likes independent restaurants and wants at least one completely free day during a week-long trip.
Another traveller might prioritise luxury accommodation, direct flights and access to nightlife.
Instead of presenting both travellers with the same recommendations, an AI system could potentially filter and prioritise options based on what it knows about them.
This is where AI could make travel technology feel less like a search engine and more like a personal assistant.
AI Could Help With the Parts of Travel People Don’t Enjoy
There is another potentially significant application for AI: dealing with the administrative side of travel.
Comparing different combinations of flights and accommodation can be time-consuming. So can working out whether changing the dates by a day or two could significantly alter the price, or determining how different transport options affect the overall itinerary.
AI could potentially take on much of this work.
Instead of asking a traveller to search for every individual component, future travel platforms could allow them to describe the outcome they want and have technology identify suitable combinations.
For example, rather than searching separately for flights, accommodation and activities, a traveller could specify their destination, dates, budget and preferences and receive a selection of complete options.
The human still makes the final decision, but much of the legwork has already been done.
The Technology Still Needs to Know Its Limits
For all its potential, AI is not going to make traditional travel expertise irrelevant overnight.
Travel information changes constantly. Flight schedules change, attractions close, restaurants move or shut, hotels alter their facilities and prices can change from one minute to the next.
AI systems can also produce convincing answers that are incomplete or simply wrong.
That means the most useful travel AI is likely to be connected to reliable, up-to-date sources rather than relying entirely on information it has learned previously.
This distinction is particularly important when dealing with live information such as flight availability, hotel prices, opening hours or booking availability.
The future of AI-powered travel planning is therefore likely to involve a combination of artificial intelligence and real-time travel technology, rather than AI operating in isolation.
What Will the Future Holiday Planner Look Like?
The most interesting development may be the gradual disappearance of the traditional “search, compare and book” journey.
Instead, travellers could increasingly have a conversation with a digital travel assistant.
They might explain where they want to go, who they are travelling with, what they enjoy and how much they want to spend. The technology could then help create an itinerary, identify suitable flights and accommodation, make recommendations and potentially even assist with bookings.
The experience could continue after the booking has been made, too.
An AI assistant could remind travellers about important information, suggest activities around their existing plans, adapt itineraries when circumstances change and help answer questions during the trip itself.
That doesn’t mean technology will replace the excitement of discovering somewhere new. If anything, the opposite may happen.
By removing some of the time-consuming research and administration, AI could give people more time to concentrate on the parts of travel that actually matter: the experiences, the people and the destination itself.
The future of holiday planning may therefore be less about finding more information and more about making sense of the information we already have.
And as AI becomes better at understanding individual travellers, the traditional holiday search could gradually become something much more personal.
