In a survey by Kaspersky, 28% of respondents had cited using AI in travel planning, with higher usage among younger individuals.

Based on a survey conducted in the summer of 2025 involving responses from 3,000* individuals across 15 countries by cybersecurity firm Kaspersky, some findings on the use of AI in travel planning were shared with the media.

First, 72% of respondents had indicated they had used AI at least once, with usage rising to 88% among those under the age of 35. Respondents over the age of 54 had showed lower engagement, with 54% indicating they had used AI, and 20% indicating they had no interest in trying it.

Second, 76% of surveyed participants had cited research as their most common application of AI. This was followed by work-related purposes (45%) and studying (40%). Entertainment (39%) and general experimentation (39%) were tied next, while travel planning was selected by 28% of respondents.

Third, among respondents that had citing using AI for travel planning (840, or 28%), 96% had indicated satisfaction with their experience. Of these, 44% had selected “perfect” and 52% had selected “good” on the survey’s answer scale.

Other findings

The survey also found that:

  • 84% of respondents had indicated an intention to use AI in planning future trips.
  • 70% of respondents had cited using AI to identify events or activities such as excursions and tourist routes.
  • 66% of respondents had reported using AI to select accommodations.
  • 60% of respondents had indicated using AI to compile restaurant lists, and 58% to search for tickets.
  • 45% of respondents had cited using AI to book hotels, 43% for booking tickets, and 38% for restaurant reservations.
  • 45% reported using AI to seek assistance on visa or migration matters.

According to Vladislav Tushkanov, Group Manager, Kaspersky: “AI-powered services are becoming increasingly in-demand tools for solving a variety of tasks, including travel planning. However, we should still remember that the decision is ours to make.”

*from Argentina, Chile, China, Germany, India, Indonesia, Italy, Malaysia, Mexico, Saudi Arabia, South Africa, Spain, Turkey, the United Kingdom, and the United Arab Emirates. No other methodology details were disclosed.