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Booking CFO: Even AI hyperscalers don't know ROI

Booking CFO: Even AI hyperscalers don't know ROI

3 Key Points

  1. What happened

    At the Fortune AIQ Summit, Booking Holdings CFO Ewout Steenbergen said hyperscalers spending hundreds of billions on large language models don't really know what their ROI will be.

  2. Why it matters

    For companies that use these models rather than build them, the payoffs come only when processes are redesigned end to end and costs stay controlled, Steenbergen said.

  3. What to watch

    Booking's early AI gains are modest and mostly internal, so the outcome hinges on whether token spending keeps falling per merge request as more processes are rebuilt.

WHO IT HITSThis lands on CFOs and IT budget owners at companies that buy AI models rather than build them, who face the same ROI question Steenbergen raised. It also matters to engineering leaders tracking cost per unit of code produced.

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Context & Analysis

Steenbergen's remarks came at the Fortune AIQ Summit at the New York Stock Exchange, in a conversation with Fortune senior writer Sheryl Estrada. He framed the past two years as a period of experimentation and said the next phase means rebuilding processes from a white sheet. Customer service went first, and the company has since pointed to early signs in its Q2 numbers: connected trip transactions grew at a low-double-digit rate at Booking.com, merchant bookings reached about 73% of gross bookings, and Level 2 and Level 3 Genius members made up more than 30% of active customers. On the customer side, he said on the company's Q2 call in August that referrals from large language models, paid and unpaid, were under 1% of total room nights.

The company's public pitch is that AI will make travel easier for customers and its marketing cheaper. Steenbergen said AI won't change how travel fundamentally happens, only the experience, calling it the connected trip. Travelers visit about five platforms on average before booking, and about one-third of Booking's customers arrive through paid channels that cost the company $8 billion to $9 billion a year. He said the bigger opportunity is growth rather than cost, with AI potentially making Booking a much more high-frequency business through proactive suggestions when plans change.

Steenbergen also described his own setup: an AI coach, plus two agents, one a strategic thought partner for board presentations and one a critical equity research agent for earnings prep. The reading here is that Booking's AI story is still mostly about internal efficiency, and the customer-facing gains he cited remain modest, with limited data. Whether the growth case materializes may depend on how quickly the connected trip moves from early signals to a larger share of transactions.

FAQ
What results has Booking seen from AI so far?
Customer service costs are slightly down while bookings are up at a high-single-digit rate, so cost per booking has fallen by a lot. Customer satisfaction also rose at the same time.
How does Booking keep its AI spending in check?
It uses what Steenbergen called effective model cost routing, sending simple tasks to basic and open-source models and complex ones to more expensive models. Engineering groups are measured on total IT cost per merge request.
How are Booking's engineers using AI?
Steenbergen said Booking's roughly 9,000 engineers are getting about 30% more code into production, counting only merge requests that pass testing and quality control.
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Also reported by Fortune AI

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