Booking.com's chief business officer uses AI models to conduct competitive analysis that would normally take days, leveraging tools like Anthropic's Claude to break down how rivals approach strategic problems. The company is also actively managing AI costs by tracking total token spending and developing better visibility tools for teams, framing the challenge similarly to how large enterprises managed cloud spending in prior years.
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Booking.com's chief business officer James Waters uses AI models (Claude, Gemini, ChatGPT) to analyze how competitors and tech companies approach strategic problems — work that would take days to do manually. The company also tracks total AI token spending and is developing better visibility tools for product teams to monitor what they spend on AI.
Why it matters
For large travel platforms, AI spending is becoming a material cost that requires disciplined management, similar to cloud infrastructure budgets. Waters said the key is ensuring token investment generates proportional business value; if spending and value creation fall out of sync, costs can spiral quickly without proper oversight.
What to watch
Booking.com is working to give product teams clearer visibility into their AI token usage and is prioritizing cheaper models for simpler tasks. Waters noted the company does not currently see token spending as a risk of losing control, but acknowledges that without intentional management, "the scale of spend will go up much quicker."
Booking.com's approach to AI reflects a broader shift in how large technology companies are operationalizing generative AI beyond pilots. Waters' use of Claude for competitive research exemplifies a practical internal application: synthesizing large volumes of data from rivals' public-facing properties (customer review systems, feature implementations) in a fraction of the time a human analyst would need. The company has also embedded AI into customer-facing services through AI agents for trip research and planning, and partnerships like direct booking within Claude conversations, positioning AI as both an internal efficiency tool and a customer product differentiator.
The emphasis on token spending discipline suggests that Booking.com, like other hyperscalers such as Uber, is beginning to face real budget constraints as AI tool usage scales. Waters' framing of AI cost management as analogous to cloud spending from 12–18 months prior is telling: it implies the industry expects similar maturation cycles, where initial exploration gives way to cost discipline. His statement that "the problem is, if those two things don't run together" (referring to token spend and value generation) underscores the central tension: companies must justify AI investment not by usage volume, but by measurable business outcome. The absence of urgency in his comments ("I don't think this is a fear for us at this moment") suggests Booking.com believes it has sufficient scale and pricing power to absorb AI costs as long as the underlying business case is sound — a luxury not all companies may possess.
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