Travel Through the Lens of AI with with Booking.com CEO Glenn Fogel
Booking Holdings CEO Glenn Fogel discusses his journey from Priceline's early struggles to leading a global travel giant. He details Booking's strategic adoption of AI for agentic travel planning and customer service, exemplified by Priceline's 'Penny,' and its significant capital investment in technology. Fogel emphasizes continuous innovation over "moats" and shares insights on AI's impact on job displacement, advocating for proactive employee upskilling to navigate the rapidly changing technological landscape.
Glenn Fogel, CEO of Booking Holdings, offers profound insights into his career journey, the evolution of Priceline (now Booking Holdings), and the strategic integration of AI in the travel industry. He also delves into broader economic and societal implications of AI, particularly regarding job displacement and corporate strategy.
Glenn Fogel’s Career Trajectory and Priceline’s Resilience
Fogel recounts his unconventional path, starting from a Wharton finance degree, an early career as an IBM mainframe operator, then a Wall Street banker (where he was fired, learning invaluable lessons on empathetic employee separation), and a brief, unfulfilling stint as a trader at Morgan Stanley. He joined Priceline in late 1999/early 2000, just before the NASDAQ peak and subsequent dot-com bust. Priceline’s stock plummeted from an initial valuation of $15 billion to a few hundred million, eventually trading at $1 per share, necessitating a reverse split. Despite these challenges, Fogel remained, witnessing and contributing to the company’s growth from a $6 post-split share price to nearly $6,000, achieving a 1000x increase and transforming it into a $130-$180 billion global travel behemoth over 27 years. He emphasizes the daily necessity to “fight for a customer every day.”
Parallels Between Internet Boom and AI Wave
Fogel draws significant parallels between the dot-com era and the current AI wave, highlighting “speculative booms that create tremendous innovation.” He notes that while the scale of the current AI boom is much larger, history suggests many companies will likely fail, similar to the numerous internet IPOs of 1999-2000, where only a fraction survived. He cautions against general rules for exiting or continuing a venture, stressing that decisions depend on specific circumstances, confidence in future value, and core motivations—whether to build something impactful or solely pursue financial gain.
AI as a Transformative Tool in Travel
Initially, AI’s perceived disruptive potential led to market concerns for established travel companies. However, Fogel views AI not as a threat but as an “incredible beneficial tool” to enhance Booking Holdings’ mission: making travel easier, cheaper, and better for both travelers and partners. He cites OpenAI’s decision not to become a “merchant of record” as a sign that the initial disruption fears were overblown.
Agentic Travel Planning and Customer Service
Fogel highlights the frustration many experience with complex travel planning. He envisions AI-powered “personalized agents” that know everything about a user and can perform far more effectively than human travel agents, leveraging vast data and permutations. He provides a detailed example of using Priceline’s ‘Penny’ AI system to plan a highly complex family trip involving multiple destinations, varying passenger needs, and optimization for frequent flyer miles versus cash. Penny effectively navigated these complexities, asking clarifying questions and offering optimal solutions.
A critical advantage of AI in travel is its potential to manage disruptions. Fogel aims for a system that can predict and proactively address problems (weather, mechanical issues) before they impact the traveler, serving as a single point of contact to resolve cascading issues. Early adoption of Penny shows promising results, including monthly doubling of usage, increased conversion, faster booking paths, and reduced cancellations, though its impact on Booking’s massive scale is still nascent.
In customer service, AI has already yielded tangible benefits: a 10% reduction in cost per customer contact and increased customer satisfaction. AI eliminates waiting times and transfers, offering faster and more efficient problem resolution. Fogel acknowledges, however, the need to balance AI efficiency with the occasional customer desire for human interaction.
Capital Investment and “No Moat” Philosophy
Booking Holdings is investing over $700 million this year in technology, including AI, across various areas. Fogel articulates a clear capital allocation philosophy: prioritize reinvestment in the company for positive ROI, consider strategic acquisitions, and if neither provides optimal returns, hand cash back to shareholders through buybacks and dividends. He notes that Booking has repurchased approximately 40% of its outstanding shares over the last decade.
Despite Booking’s immense scale and assets—such as 8.6 million alternative accommodation listings globally (competitive with Airbnb and growing faster in recent years)—Fogel firmly believes “There is no such thing as a moat.” Competitive advantages are transient. Continuous innovation, developing new services, and deeply understanding partner needs are essential for long-term survival. He also underscores the significant complexity of the travel business, including a highly regulated global environment, which poses substantial barriers to new entrants who lack the scale and expertise to navigate such intricacies.
AI’s Societal Impact: Jobs and Upskilling
Fogel acknowledges that technological advancement has always led to job displacement, citing historical shifts from agrarian to industrial societies and contemporary examples like machine translation replacing human translators at Booking. His primary concern is the speed of current AI-driven change, which might outpace the creation of new jobs and the ability of the workforce to adapt. He empathizes with individuals like a 50-year-old truck driver facing automation, highlighting the potential for significant societal disruption if effective solutions are not found for retraining and re-skilling.
Booking Holdings actively addresses this internally by investing heavily in upskilling and AI literacy for its 25,000 employees. Fogel sees this as both a corporate responsibility and a strategic benefit, improving productivity and preparing employees for future roles. He expresses concern that a lack of thoughtful solutions could lead to a societal rejection of technology, putting nations at a disadvantage against competitors (e.g., China) who embrace it fully. He advocates for open and honest conversations about managing these transitions.
Public Perception of AI
Fogel observes that public perception of AI is complex and often influenced by how questions are framed. People generally embrace AI tools that offer personal benefits (e.g., ChatGPT for daily tasks), yet express apprehension when prompted about job loss or negative societal impacts. He advocates for a “level-headed” approach, fostering discussions on how AI can benefit society broadly and enable participation, rather than succumbing to “doomer” narratives or politically motivated fear-mongering.