Article Highlights:

  • Generative AI tools are becoming mainstream for travel planning.
  • Millennials and Gen Z lead adoption of AI-powered travel research.
  • Travelers increasingly trust AI-generated recommendations.
  • Hyper-personalized travel planning is becoming an expectation.
  • AI is transforming how travelers compare destinations and itineraries.

 

 

Artificial intelligence is reshaping global travel behavior in 2026. Travelers increasingly use generative AI tools such as ChatGPT to research destinations, build itineraries, compare accommodations and discover personalized experiences. According to Global Rescue survey results, 36% of travelers say they expect to use AI in some capacity when planning travel, whether to generate inspiration, narrow options or, in rare cases, make decisions on their behalf. A clear majority, however, remain cautious: 36% say they will not use AI for travel planning at all, while 25% plan to rely mostly on human recommendations.

“Travelers are interested in AI, but they are not ready to hand over control,” said Dan Richards, CEO of The Global Rescue Companies and a member of the US Travel and Tourism Advisory Board at the US Department of Commerce. “AI is viewed as a helpful assistant, not a trusted authority, particularly when safety, cost and risk are involved.”

Gender differences highlight varying levels of comfort with AI. Men are more likely than women to use AI as a decision-support tool, with 25% of men saying AI will help narrow options before they make final decisions, compared to 19% of women. Women are more inclined to avoid AI altogether, with 36% saying they will not use AI for travel planning, slightly higher than men at 35%. Women are also more likely to rely mostly on human recommendations (26%) versus 23% of men.

Younger travelers, however, are driving the AI travel transformation. Millennials and Gen Z, already highly comfortable with digital ecosystems, increasingly rely on AI-generated suggestions as part of everyday decision-making. AI offers travelers speed, customization and convenience. Instead of sorting through dozens of websites manually, travelers can generate tailored recommendations based on budget, interests, trip duration and personal preferences within seconds.

This has accelerated the demand for hyper-personalized travel experiences. Travelers increasingly expect travel brands and platforms to anticipate preferences and reduce planning friction. At the same time, AI has amplified traveler curiosity by helping people discover lesser-known destinations, off-peak travel opportunities and niche experiences that traditional search methods may overlook.

 

AI Is Rapidly Becoming Mainstream in Trip Planning, But Not Everywhere

AI tools are increasingly functioning as digital travel assistants rather than simple search engines. Travelers now use AI to compare visa requirements, build weather-sensitive itineraries, optimize transportation routes and even generate packing lists tailored to specific destinations.

The convenience of conversational travel planning has significantly lowered barriers to international travel research. Consumers who previously felt overwhelmed by logistics can now receive simplified, personalized guidance almost instantly.

Travel companies are responding by integrating AI into booking systems, loyalty programs and customer service platforms. Hotels increasingly use predictive technology to personalize offers, while airlines leverage AI for dynamic pricing and traveler communication.

Hyper-personalization is becoming one of the most important expectations shaping modern tourism. Travelers increasingly assume platforms will understand preferences, travel history and behavioral patterns.

AI adoption is also influencing destination marketing. Smaller tourism boards and emerging destinations can now compete more effectively for visibility because AI-generated recommendations are less dependent on traditional advertising dominance.

This democratization of travel discovery may significantly diversify future tourism flows.

AI-driven travel planning, however, also introduces new challenges. Travelers must still verify safety conditions, infrastructure quality and logistical realities that AI tools may oversimplify or misinterpret.

Geographic differences reveal distinct patterns in how travelers approach AI rather than differing levels of resistance. Non-US survey respondents show a stronger preference for human guidance, with 31% relying mostly on human recommendations compared to 22% of US travelers. US travelers are more inclined to use AI as a decision-support tool, with 24% saying AI will help narrow options before they make final decisions, more than double the 11% reported by non-US travelers.

As travelers rely more heavily on digital recommendations, trusted sources of security intelligence and medical information become increasingly valuable. AI reinforces the growing desire for efficiency. Travelers want seamless itinerary management, simplified booking processes and rapid answers to complex logistical questions. For many consumers, AI now functions as the first stage of travel inspiration, research and trip structuring.

The broader implication is clear: travel planning is rapidly becoming more conversational, personalized and technology-driven. Travelers increasingly expect instant, intelligent guidance that adapts to their preferences in real time, fundamentally changing how tourism decisions are made.

 

The Global Rescue Connection

As travelers increasingly rely on digital planning tools and explore unfamiliar destinations, access to reliable emergency support becomes even more important. Global Rescue provides field rescue, medical evacuation, security support and 24/7 advisory services that complement the growing independence enabled by AI-driven travel planning. Destination Reports help travelers validate risks, healthcare access and security conditions beyond what standard AI-generated itineraries typically provide.