The launch of generative AI travel agents introduces high-context natural-language search that returns a narrow set of highly relevant results rather than long lists of sponsored links, undermining Google’s 2010 metasearch auction model which favored scale and marketing budgets. Google may need to adapt its travel strategy by investing in AI capabilities or developing new partnership models to mitigate margin compression risks and maintain its competitive advantage in travel search advertising. AI-driven platforms could compress take rates and marketing efficiency for Google’s travel-related ad auctions, eroding its supply moat and posing a risk to its core search advertising revenues as direct booking channels become more competitive. Booking’s transition to a merchant model has left its EBITDA margins over 3% below 2015 levels, while Expedia’s pivot to B2B now constitutes more than one-third of revenue, illustrating how shifts in search models can materially affect profitability.