Patrick Viceriat, president of the Association francophone des experts du tourisme, is advising travelers to use artificial intelligence to plan their summer vacations [1].
This shift in planning strategy comes as travelers seek to balance the desire for leisure with rising costs and professional obligations. By leveraging AI, vacationers can identify destinations that are more affordable and geographically closer to home, reducing both travel expenses and carbon footprints.
Viceriat said that the capabilities of AI can help users navigate the complexities of modern travel [1]. He said users should use these tools to find regions that are less expensive than traditional tourist hotspots [1]. This approach allows travelers to tailor their trips to specific budget constraints and work-related requirements, ensuring that time off does not conflict with professional duties [2].
"Il faut utiliser l'IA, partir moins loin, opter pour des régions moins coûteuses…" Viceriat said [1].
The strategy emphasizes a transition toward "slow travel" and local exploration. Rather than relying on traditional travel agencies or static brochures, AI can analyze real-time data to suggest hidden gems that offer similar experiences to popular destinations but at a fraction of the cost [1].
For many in France, the ability to integrate work constraints into a travel itinerary is a primary concern. AI tools can optimize schedules and suggest locations with the necessary infrastructure to support hybrid work models, while still providing a restorative vacation experience [2].
“"Il faut utiliser l'IA, partir moins loin, opter pour des régions moins coûteuses…"”
The recommendation to use AI for travel planning reflects a broader trend toward 'conscious tourism.' By moving away from over-saturated tourist hubs and utilizing data-driven tools to find cheaper, closer alternatives, travelers can mitigate the impact of inflation and environmental concerns while maintaining their quality of life.
