Reality Check is the term industry experts used at the 2026 edition of A World For Travel forum to describe the gap between what generative AI promises in travel planning and what is actually possible on the ground. During a panel discussion, professionals emphasized that producing personalized itineraries in seconds means little if those plans cannot be executed in real life.
AI’s Knowledge Gap
Myriam Younes, Managing Director for Partnerships and Advertising at ROME2RIO & OMIO, highlighted a key issue: AI systems tend to present idealized travel plans without acknowledging limitations. “There is a gap between the beautiful itinerary that AI will give you and what is really possible,” she said. “AI will always give you an answer. It won’t necessarily tell you ‘I don’t know.'”
This overconfidence leads users to build trips based on theoretical schedules that may not align with actual availability or operational constraints. For example, a ferry scheduled to run in November might not operate during that month, or a train service might require advance booking upon arrival at a station. These discrepancies force travelers to manually verify details across multiple platforms, reducing efficiency and increasing frustration.
Bridging Data Silos
To address this challenge, industry leaders are calling for tighter integration between AI tools and live mobility data sources. In many regions, particularly parts of Asia and Latin America, the fragmented nature of local transport networks makes it difficult to access up-to-date information. Bus routes, ferry timetables, and seasonal services often lack digital infrastructure, complicating efforts to feed accurate data into AI models.
Alibaba’s Fliggy platform offers one model for solving this problem. Its AI assistant connects directly to hotel and transportation databases, allowing users to describe their ideal trip, such as three days in Paris with a view of the Eiffel Tower, and receive verified pricing, real-time availability, and instant booking links. “We ensure we provide relevant information in the way customers want to access it,” noted Alastair Crossley, Global Head of Travel Solutions at AXA Partners.
The core takeaway from the panel was clear: AI functions best when embedded within existing customer journeys rather than treated as a standalone innovation. As Crossley concluded, “AI is not a strategy in itself for us. It’s a lever that helps us improve the continuous cycle of value delivered to the customer.”
Looking ahead, success in travel tech will depend less on flashy chatbots and more on aligning conversational interfaces with reliable backend systems.