Artificial intelligence often suggests the same mainstream destinations, but there are ways to bypass this.
Modern AI services, which can assist with travel planning, have unexpectedly become a factor exacerbating the problem of overcrowding at popular tourist destinations. Analyzing their recommendations reveals a troubling trend: algorithms by default suggest the same popular destinations, creating a digital "herd" instinct effect.
The use of AI for trip planning is rapidly increasing, writes TechXplore. The number of users of such services has doubled over the past year, and one in five travelers aged 25-34 in the UK is already planning their vacation with the help of neural networks. The top 20 most visited countries in the world: where tourists are going.
AI systems act as amplifiers of existing trends: they analyze reviews, blogs, and hashtags from social media, presenting the most frequent queries as "optimal" options, while ignoring less promoted but equally interesting destinations. As a result, Paris, Venice, and Barcelona continue to dominate recommendations, even though these cities are already suffering from excessive tourist flow.
Experts suggest several methods to overcome algorithmic bias:
Smart queries. Instead of: "Best beaches in Europe," try: "Cities accessible by train but not found in guidebooks."
Seasonal approach. Ask AI about trips not during the tourist season. Example: "Italian lakes in October" instead of July.
Queries in local languages. Searching for "Blogs in Spanish about Asturias," "Agrotourism in Slovenia" can yield much more useful information than standard queries.
Consider using AI as a starting point rather than a final authority. Guidebooks, information in local media, and conversations with locals provide the unpredictability that makes travel unforgettable.
Next time you ask ChatGPT where to go, do it a little differently. Challenge it, debate with it, and use its capabilities to find something new — otherwise, you risk choosing the same mundane route as everyone else.
