AI changes travel discovery

Distribution is one of the hottest topics in hospitality right now. The rapid growth of agentic AI has dramatically lowered the barriers to entry, enabling entrepreneurs and smaller teams to develop sophisticated booking and planning platforms using open-source frameworks and AI infrastructure. Industry data suggests that 90 per cent of tech startups fail, so while the market may appear frothy with activity, I suspect only a handful of products will emerge as genuine, long-term solutions. 

In the meantime, the creation of AI travel agents are at once disrupting and revolutionising the distribution landscape. OTAs and metasearch platforms have long dominated the customer journey, whereas the introduction of AI-powered travel assistants add an extra layer between hoteliers and guests. Instead of browsing multiple websites, travellers are increasingly relying on conversational agents to search, surface, compare, and in some instances, book a trip on the users behalf. 

Enter stage right Odessia – the AI travel agent launched by Sonder’s co-founder Francis Davidson. Here is an entrepreneur who has pivoted away from physical real estate assets into a digital offering, moving from landlords to the traveller, and from managing inventory to shaping how accommodation is discovered. Davidson certainly understands the challenges and complexities of hospitality operations better than most technology founders entering the travel space. Whether that translates into a sustainable competitive advantage remains to be seen. 

I’ve highlighted before that, if AI agents become a preferred route for trip planning and booking, hoteliers will need to optimise their listings for the algorithms that power these digital travel agents. According to the Odessia website, more than 2,000 luxury hotels and resorts are “coming soon” to the platform, joining as part of the Odessia Collection. It’s an early move to bypass the OTA interface entirely, presenting both an opportunity and challenge for independent hoteliers in terms of commission structure and content optimisation. 

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