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Booking CEO Warns AI Job Displacement Could Trigger Technology Rejection and US Competitive Disadvantage

No Priors Podcast · Travel Through the Lens of AI with with Booking.com CEO Glenn Fogel · July 9, 2026
Booking CEO Warns AI Job Displacement Could Trigger Technology Rejection and US Competitive Disadvantage
No Priors Podcast
No Priors Podcast
Travel Through the Lens of AI with with Booking.com CEO Glenn Fogel
"I am concerned if we end up in a situation where people start rejecting technology because of fear, that will end up being bad for us as a society. And by the way, other parts of the world are not going to have that problem, and they will be disadvantaged, I assure you. We're not in China. They are not having that same thing about, oh, AI is bad and we shouldn't do it."
Fogel expressed concern that rapid AI-driven job losses, particularly for workers like 57-year-old truck drivers facing automation, could happen faster than retraining programs can address. He cited his own company's elimination of translation jobs over two decades and warned that China's embrace of AI could leave the US at a competitive disadvantage if American workers reject the technology out of fear rather than adapting to it.

About this episode

Glenn Fogel, CEO of Booking Holdings, joined hosts of No Priors to discuss his company's transformation from a near-bankruptcy during the dot-com crash to a $130 billion travel giant, and how AI is reshaping the industry. Fogel, who joined Priceline in 2000 when it was worth just a few hundred million dollars and trading at $1 per share, has witnessed the stock rise 1,000-fold over 27 years. The episode centered on Booking's aggressive AI investments and Fogel's contrarian view that no competitive moat exists in travel technology, despite the company controlling 8.6 million alternative accommodation listings globally and processing $186 billion in travel annually. Fogel revealed that Booking is investing over $700 million in AI this year, already achieving 10% reductions in customer service costs while improving satisfaction through tools like Priceline's Penny agentic assistant, which has doubled adoption monthly. He detailed using Penny himself to plan a complex family trip to Europe, demonstrating how AI can handle multi-city itineraries, frequent flyer mile optimization, and multi-cabin bookings. However, Fogel acknowledged critical unknowns around token economics, model selection, and true ROI at scale. The conversation also addressed OpenAI's abandoned travel checkout feature, regulatory complexity in global travel, and whether AI agents will disintermediate platforms like Booking. Fogel argued the company's value lies not just in inventory but in partner relationships, regulatory compliance infrastructure, and problem resolution capabilities that appear simple from outside but require thousands of employees. On broader AI implications, Fogel warned that job displacement could occur faster than retraining programs can address, citing his own company's elimination of translation jobs and expressing concern that technology rejection could disadvantage the US versus China. He emphasized continuous employee upskilling and questioned whether government retraining programs can effectively address the transition, while noting that consumer AI sentiment depends heavily on how questions are framed in surveys.

Key takeaways

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