Travel anxiety may soon become a relic of the past as artificial intelligence promises to streamline the travel experience, albeit with a hint of predictability. Two global travel platforms, Rome2Rio and its German parent, Omio, are set to launch applications integrated with OpenAI, aiming to provide their combined 900 million weekly users access to comprehensive routes, pricing, and transport options worldwide.
The new apps will function within ChatGPT, allowing users to effortlessly search, compare, and plan journeys that encompass trains, buses, flights, ferries, and other transport modes. Instead of navigating multiple booking sites to piece together a travel itinerary, users can simply ask, “What’s the fastest and cheapest route from Rome to Florence this Saturday?” and receive all necessary information in a single conversation.
According to research by Rome2Rio, one in three travelers is already utilizing AI to assist in trip planning, often consulting the technology even before selecting a destination. Although AI is not infallible and can generate inaccurate information—often referred to as “hallucination”—the travel companies emphasize that they rely on live data, not AI-generated estimates. “There’s a real train, there’s a real bus, a ferry—and it’s all connected via API, deep technical integrations,” said Naren Shaam, founder and CEO of Omio, in an interview with Euronews Next. “Anything built off of that is real content.”
This technology aims to mitigate AI hallucination by drawing from a verified inventory rather than approximating travel information. Moreover, AI can enhance the travel experience by providing timely updates about disruptions and suggesting alternative routes. “If there is a disruption on a line, we should, in theory, send you a message saying, ‘Hey, there’s likely a disruption. Here are a couple of alternate options to consider,'” Shaam explained, noting that while last-minute changes may incur higher costs, the objective is to make travel “a lot more transparent and help customers make sound decisions.”
Despite the benefits of AI in travel planning, there are concerns that widespread usage could exacerbate the over-tourism issue in already popular destinations. The question arises: will an algorithm diminish the allure of travel by leading users to the most common routes and tourist traps, rather than allowing for serendipitous discoveries? AI systems tend to be trained on existing popularity data, which may result in reinforcing established travel patterns, nudging users towards the same routes that dominate internet searches.
Shaam acknowledges this risk but argues that AI can also facilitate greater discovery. “AI can empower people to discover more routes,” he asserted. “You have to trigger more questions for it to go deeper into context to give more unique itineraries.” Unlike a traditional search bar, conversational AI invites follow-up questions, potentially guiding users from inquiries about accommodations in Madrid to exploring other parts of Spain.
Furthermore, Shaam believes that AI-driven exploration could help distribute tourism more evenly, directing travelers to secondary destinations rather than overcrowded major cities. “If you go to Spain and you’re not only going to Madrid and Barcelona, but Seville, Granada, Bilbao—those are two, two-and-a-half hour train journeys,” he said. “If AI can make that trip happen, it’s good for local ecosystems too.”
At this point, Omio positions AI as a logistical tool designed to simplify travel planning while preserving the spirit of adventure. As these technologies evolve, they may redefine not just how we travel, but also where we choose to go, opening up new opportunities for exploration and reducing the strain on popular tourist hotspots.
See also
AI Transforms Health Care Workflows, Elevating Patient Care and Outcomes
Tamil Nadu’s Anbil Mahesh Seeks Exemption for In-Service Teachers from TET Requirements
Top AI Note-Taking Apps of 2026: Boost Productivity with 95% Accurate Transcriptions
Machine Learning Tools Transform Materials Discovery, Enhancing Semiconductor Efficiency
