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Jul 9, 2026 · 41m · no-priors

Travel Through the Lens of AI with with Booking.com CEO Glenn Fogel

Glenn Fogel · 28m spoken Elad Gil · 8m spoken
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Booking Holdings CEO Glenn Fogel discusses the realities of AI integration in the travel industry, contrasting modern AI hype with the dot-com bubble while outlining strategies for building resilient competitive moats, disciplined capital allocation, and navigating workforce transitions.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The hosts hold 21.2% of the talking time here. How this is scored →

The hosts as informed peer 4.3 Guest teaching 2.6 Guest disagreement 1.4 The hosts pushing back 0.7
05100:0015:0030:000:43–7:32 · The hosts as informed peer 1/10 Glenn Fogel's Career Journey to Booking Holdings Elad opens with an invitation for Glenn to share his career trajectory. Glenn narrates his path from Wharton and IT operations to Wall Street, getting fired, writing a novel, and joining Priceline right at the dot-com peak.7:32–11:33 · The hosts as informed peer 6/10 Dot-Com Parallels, Market Cycles, and Founder Exit Decisions Elad displays strong historical market knowledge by citing precise dot-com IPO numbers and survival rates to question current AI valuations. Glenn responds by noting that speculative bubbles are a recurring historical phenomenon and declines to provide blanket exit advice.11:34–20:15 · The hosts as informed peer 5/10 AI in Travel: Agents, Concierge Services, and Operational Realities Elad brings up Silicon Valley's agentic AI thesis and OpenAI's abandoned travel checkout experiment. Glenn explains that outsiders consistently underestimate the operational friction and merchant-of-record complexity in travel.20:15–26:09 · The hosts as informed peer 6/10 AI Economics, Customer Service Efficiency, and Capital Allocation Elad references specific financial disclosures including customer service cost reductions and capital return numbers. Glenn gently clarifies that Booking's tech investment budget is approximately $700M across broader modernization rather than purely AI.26:09–30:26 · The hosts as informed peer 5/10 Competitive Moats, Alternative Accommodations, and Industry Complexity When Elad suggests Booking's massive inventory acts as a durable moat, Glenn pushes back against the premise, declaring that moats do not exist against innovation. Glenn schools prospective entrants on the unseen regulatory hurdles and partner relationship management required at scale.30:26–34:05 · The hosts as informed peer 2/10 Life Purpose, Philosophy, and Choosing Meaningful Paths Elad asks a reflective question regarding personal purpose and how Glenn measures a successful life. Glenn shares his philosophy on intentional decision-making and avoiding passive career drift.34:06–40:44 · The hosts as informed peer 5/10 The Impact of AI on the Workforce and Society Glenn highlights real-world workforce displacement using Booking's past translation teams and expresses concern about retraining older workers. Elad adds nuance by explaining how biased survey design artificially polarizes public sentiment on AI.0:43–7:32 · Guest teaching 0/10 Glenn Fogel's Career Journey to Booking Holdings Elad opens with an invitation for Glenn to share his career trajectory. Glenn narrates his path from Wharton and IT operations to Wall Street, getting fired, writing a novel, and joining Priceline right at the dot-com peak.7:32–11:33 · Guest teaching 1/10 Dot-Com Parallels, Market Cycles, and Founder Exit Decisions Elad displays strong historical market knowledge by citing precise dot-com IPO numbers and survival rates to question current AI valuations. Glenn responds by noting that speculative bubbles are a recurring historical phenomenon and declines to provide blanket exit advice.11:34–20:15 · Guest teaching 4/10 AI in Travel: Agents, Concierge Services, and Operational Realities Elad brings up Silicon Valley's agentic AI thesis and OpenAI's abandoned travel checkout experiment. Glenn explains that outsiders consistently underestimate the operational friction and merchant-of-record complexity in travel.20:15–26:09 · Guest teaching 3/10 AI Economics, Customer Service Efficiency, and Capital Allocation Elad references specific financial disclosures including customer service cost reductions and capital return numbers. Glenn gently clarifies that Booking's tech investment budget is approximately $700M across broader modernization rather than purely AI.26:09–30:26 · Guest teaching 6/10 Competitive Moats, Alternative Accommodations, and Industry Complexity When Elad suggests Booking's massive inventory acts as a durable moat, Glenn pushes back against the premise, declaring that moats do not exist against innovation. Glenn schools prospective entrants on the unseen regulatory hurdles and partner relationship management required at scale.30:26–34:05 · Guest teaching 1/10 Life Purpose, Philosophy, and Choosing Meaningful Paths Elad asks a reflective question regarding personal purpose and how Glenn measures a successful life. Glenn shares his philosophy on intentional decision-making and avoiding passive career drift.34:06–40:44 · Guest teaching 3/10 The Impact of AI on the Workforce and Society Glenn highlights real-world workforce displacement using Booking's past translation teams and expresses concern about retraining older workers. Elad adds nuance by explaining how biased survey design artificially polarizes public sentiment on AI.0:43–7:32 · Guest disagreement 0/10 Glenn Fogel's Career Journey to Booking Holdings Elad opens with an invitation for Glenn to share his career trajectory. Glenn narrates his path from Wharton and IT operations to Wall Street, getting fired, writing a novel, and joining Priceline right at the dot-com peak.7:32–11:33 · Guest disagreement 1/10 Dot-Com Parallels, Market Cycles, and Founder Exit Decisions Elad displays strong historical market knowledge by citing precise dot-com IPO numbers and survival rates to question current AI valuations. Glenn responds by noting that speculative bubbles are a recurring historical phenomenon and declines to provide blanket exit advice.11:34–20:15 · Guest disagreement 2/10 AI in Travel: Agents, Concierge Services, and Operational Realities Elad brings up Silicon Valley's agentic AI thesis and OpenAI's abandoned travel checkout experiment. Glenn explains that outsiders consistently underestimate the operational friction and merchant-of-record complexity in travel.20:15–26:09 · Guest disagreement 2/10 AI Economics, Customer Service Efficiency, and Capital Allocation Elad references specific financial disclosures including customer service cost reductions and capital return numbers. Glenn gently clarifies that Booking's tech investment budget is approximately $700M across broader modernization rather than purely AI.26:09–30:26 · Guest disagreement 4/10 Competitive Moats, Alternative Accommodations, and Industry Complexity When Elad suggests Booking's massive inventory acts as a durable moat, Glenn pushes back against the premise, declaring that moats do not exist against innovation. Glenn schools prospective entrants on the unseen regulatory hurdles and partner relationship management required at scale.30:26–34:05 · Guest disagreement 0/10 Life Purpose, Philosophy, and Choosing Meaningful Paths Elad asks a reflective question regarding personal purpose and how Glenn measures a successful life. Glenn shares his philosophy on intentional decision-making and avoiding passive career drift.34:06–40:44 · Guest disagreement 1/10 The Impact of AI on the Workforce and Society Glenn highlights real-world workforce displacement using Booking's past translation teams and expresses concern about retraining older workers. Elad adds nuance by explaining how biased survey design artificially polarizes public sentiment on AI.0:43–7:32 · The hosts pushing back 0/10 Glenn Fogel's Career Journey to Booking Holdings Elad opens with an invitation for Glenn to share his career trajectory. Glenn narrates his path from Wharton and IT operations to Wall Street, getting fired, writing a novel, and joining Priceline right at the dot-com peak.7:32–11:33 · The hosts pushing back 1/10 Dot-Com Parallels, Market Cycles, and Founder Exit Decisions Elad displays strong historical market knowledge by citing precise dot-com IPO numbers and survival rates to question current AI valuations. Glenn responds by noting that speculative bubbles are a recurring historical phenomenon and declines to provide blanket exit advice.11:34–20:15 · The hosts pushing back 1/10 AI in Travel: Agents, Concierge Services, and Operational Realities Elad brings up Silicon Valley's agentic AI thesis and OpenAI's abandoned travel checkout experiment. Glenn explains that outsiders consistently underestimate the operational friction and merchant-of-record complexity in travel.20:15–26:09 · The hosts pushing back 1/10 AI Economics, Customer Service Efficiency, and Capital Allocation Elad references specific financial disclosures including customer service cost reductions and capital return numbers. Glenn gently clarifies that Booking's tech investment budget is approximately $700M across broader modernization rather than purely AI.26:09–30:26 · The hosts pushing back 1/10 Competitive Moats, Alternative Accommodations, and Industry Complexity When Elad suggests Booking's massive inventory acts as a durable moat, Glenn pushes back against the premise, declaring that moats do not exist against innovation. Glenn schools prospective entrants on the unseen regulatory hurdles and partner relationship management required at scale.30:26–34:05 · The hosts pushing back 0/10 Life Purpose, Philosophy, and Choosing Meaningful Paths Elad asks a reflective question regarding personal purpose and how Glenn measures a successful life. Glenn shares his philosophy on intentional decision-making and avoiding passive career drift.34:06–40:44 · The hosts pushing back 1/10 The Impact of AI on the Workforce and Society Glenn highlights real-world workforce displacement using Booking's past translation teams and expresses concern about retraining older workers. Elad adds nuance by explaining how biased survey design artificially polarizes public sentiment on AI.

speaking balance: gold is the hosts, purple is the guest (3 minute bins)

0:00 · the hosts 29.9% · guest 70.1%0:00 · the hosts 29.9% · guest 70.1%3:00 · the hosts 0% · guest 100%3:00 · the hosts 0% · guest 100%6:00 · the hosts 34% · guest 66%6:00 · the hosts 34% · guest 66%9:00 · the hosts 30.6% · guest 69.4%9:00 · the hosts 30.6% · guest 69.4%12:00 · the hosts 33.3% · guest 66.7%12:00 · the hosts 33.3% · guest 66.7%15:00 · the hosts 12.7% · guest 87.3%15:00 · the hosts 12.7% · guest 87.3%18:00 · the hosts 21.4% · guest 78.6%18:00 · the hosts 21.4% · guest 78.6%21:00 · the hosts 12.8% · guest 87.2%21:00 · the hosts 12.8% · guest 87.2%24:00 · the hosts 33.7% · guest 66.3%24:00 · the hosts 33.7% · guest 66.3%27:00 · the hosts 0% · guest 100%27:00 · the hosts 0% · guest 100%30:00 · the hosts 39.5% · guest 60.5%30:00 · the hosts 39.5% · guest 60.5%33:00 · the hosts 5.8% · guest 94.2%33:00 · the hosts 5.8% · guest 94.2%36:00 · the hosts 2% · guest 98%36:00 · the hosts 2% · guest 98%39:00 · the hosts 52.2% · guest 47.8%39:00 · the hosts 52.2% · guest 47.8%
Sharpest disagreement ▶ 27:50 Glenn forcefully rejects the idea of business moats

Glenn rejects Elad's suggestion that Booking's listing scale is a protected moat, asserting that no company is ever shielded from innovation.

 Hardest push from the hosts ▶ 39:15 Elad challenges the narrative of public anti-AI sentiment

Elad deconstructs the prevailing media narrative of AI doom by citing survey data that demonstrates sentiment depends heavily on how questions are framed.

 Biggest teaching moment ▶ 29:05 Glenn schools tech entrants on travel industry complexity

Glenn warns tech startups that inventory aggregation is easy compared to managing complex global regulations and partner relationship infrastructure.

 The host holds their own ▶ 8:36 Elad cites dot-com IPO survival data against AI valuations

Elad demonstrates domain expertise by citing the specific failure rate of 1,500 dot-com era IPOs to challenge the sustainability of non-revenue AI valuations.
the scores for every segment, with the reasoning behind each
ChapterTopicThe hosts as informed peerGuest teachingGuest disagreementThe hosts pushing backWhy
Glenn Fogel's Career Journey to Booking Holdings 1000 Elad opens with an invitation for Glenn to share his career trajectory. Glenn narrates his path from Wharton and IT operations to Wall Street, getting fired, writing a novel, and joining Priceline right at the dot-com peak.
Dot-Com Parallels, Market Cycles, and Founder Exit Decisions 6111 Elad displays strong historical market knowledge by citing precise dot-com IPO numbers and survival rates to question current AI valuations. Glenn responds by noting that speculative bubbles are a recurring historical phenomenon and declines to provide blanket exit advice.
AI in Travel: Agents, Concierge Services, and Operational Realities 5421 Elad brings up Silicon Valley's agentic AI thesis and OpenAI's abandoned travel checkout experiment. Glenn explains that outsiders consistently underestimate the operational friction and merchant-of-record complexity in travel.
AI Economics, Customer Service Efficiency, and Capital Allocation 6321 Elad references specific financial disclosures including customer service cost reductions and capital return numbers. Glenn gently clarifies that Booking's tech investment budget is approximately $700M across broader modernization rather than purely AI.
Competitive Moats, Alternative Accommodations, and Industry Complexity 5641 When Elad suggests Booking's massive inventory acts as a durable moat, Glenn pushes back against the premise, declaring that moats do not exist against innovation. Glenn schools prospective entrants on the unseen regulatory hurdles and partner relationship management required at scale.
Life Purpose, Philosophy, and Choosing Meaningful Paths 2100 Elad asks a reflective question regarding personal purpose and how Glenn measures a successful life. Glenn shares his philosophy on intentional decision-making and avoiding passive career drift.
The Impact of AI on the Workforce and Society 5311 Glenn highlights real-world workforce displacement using Booking's past translation teams and expresses concern about retraining older workers. Elad adds nuance by explaining how biased survey design artificially polarizes public sentiment on AI.

Statements from this episode (10)

Prediction Not checkable as stated
Fogel: Current AI Boom Will Cause Substantial Disappointment and Financial Losses
“So, I don't know, but I think this is not new, and there'll be a great deal of disappointment. There'll be a lot of people who are going to lose a lot of money, of course.”
Glenn Fogel Jul 9, 2026 ▶ 9:41
Disclosure
Booking CEO aims for AI that predicts and fixes travel disruptions proactively
“My goal is to have a system that actually, we are able to predict well enough what the problem will be before it happens. And so just changing things.”
Glenn Fogel Jul 9, 2026 ▶ 19:25
Assertion Supported
Gil: Priceline's Penny AI tool adoption doubled monthly with higher conversion
“Penny Adoption, which again is this agentic tool that you'd built for Priceline, has doubled every month for the past few months, and it's generated a lift in conversion plus faster search, shorter path to booking, lower cancellation, you know, higher customer…”
Elad Gil Jul 9, 2026 ▶ 19:43
Assertion Supported
Fogel: Booking Holdings processed $186B in travel and 1B room nights
“You know, last year we did a hundred and eighty six billion dollars with the travel, right? That's a lot of travel, ok? You know, we did a billion of room nights.”
Glenn Fogel Jul 9, 2026 ▶ 20:33
Assertion Supported
Fogel: Booking Holdings repurchased roughly 40% of shares over 12 years
“You know, I really am very proud of the fact that over the last, let's say, dozen years or so, we've bought back approximately 40% of the outstanding share.”
Glenn Fogel Jul 9, 2026 ▶ 24:58
Assertion Supported
Fogel: Booking's alternative rental room nights are 75% of Airbnb's
“When you look at our total amount of transactions, our room night for alternative accommodation, you see that we are approximately three quarters the size of Airbnb, and that's just our alternative accommodation area, the whole much bigger hotel business on to…”
Glenn Fogel Jul 9, 2026 ▶ 27:21
Assertion Supported
Fogel: Booking has grown faster than Airbnb in alternative rentals for 5 years
“For the last five years, we've grown faster than Airbnb in the alternative accommodation area. We do like to like. We've been growing faster the last five years.”
Glenn Fogel Jul 9, 2026 ▶ 27:38
Assertion Not checkable as stated
Booking CEO: Machine translation eliminated all human translation jobs at Booking
“Now we have machine translations. All those jobs are gone. There's nobody doing that. That's, all those jobs disappear.”
Glenn Fogel Jul 9, 2026 ▶ 35:20
Opinion
Fogel: Government job retraining programs have failed over past 50 years
“Retraining by governments over the last 50 years really hasn't worked out so well. So I'm not sure that's the right way to go either.”
Glenn Fogel Jul 9, 2026 ▶ 38:20
Assertion Not checkable as stated
Fogel: China is not experiencing anti-AI sentiment like the West
“I assure you, when in China, they're not having that same thing about, oh, AI is bad, and we shouldn't do it. That is not what's happening there.”
Glenn Fogel Jul 9, 2026 ▶ 38:47
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