1 00:00:02,520 --> 00:00:07,360 Speaker 1: Bloomberg Audio Studios, podcasts, radio News. 2 00:00:07,760 --> 00:00:10,280 Speaker 2: Wall Street, weighing in on a strong quarter for Bookings. 3 00:00:10,320 --> 00:00:13,520 Speaker 2: Holdings City says that results show the outlook with a 4 00:00:13,680 --> 00:00:17,880 Speaker 2: broad strength. Evercore ISI says core trends remain solid despite 5 00:00:17,960 --> 00:00:21,520 Speaker 2: slightly softer profit guidance. The company also announcing eight twenty 6 00:00:21,520 --> 00:00:24,439 Speaker 2: five for one stock split. Let's get more details now 7 00:00:24,520 --> 00:00:28,080 Speaker 2: from the company CEO Glenn Fogel, who joins the program. Glenn, 8 00:00:28,120 --> 00:00:30,280 Speaker 2: great to see you, and look, the analysts said it there. 9 00:00:30,440 --> 00:00:32,479 Speaker 2: It was a strong earning, So maybe we need to 10 00:00:32,479 --> 00:00:34,720 Speaker 2: talk about the elephant in the room. Shares are down 11 00:00:34,800 --> 00:00:38,479 Speaker 2: eight percent. I can only imagine it's AI anxiety that 12 00:00:38,640 --> 00:00:42,120 Speaker 2: seems to continue to be souring a lot of companies 13 00:00:42,120 --> 00:00:44,120 Speaker 2: so far in the market these past couple of weeks. 14 00:00:44,560 --> 00:00:45,280 Speaker 1: What is your. 15 00:00:45,159 --> 00:00:49,040 Speaker 2: Response to concerns that AI is going to disrupt booking? 16 00:00:50,120 --> 00:00:53,199 Speaker 3: Well, first, thanks for having me, and I got to echo. 17 00:00:53,040 --> 00:00:55,040 Speaker 1: What you said. I mean last night coming out with 18 00:00:55,320 --> 00:00:57,440 Speaker 1: the numbers that we put out were just stellar. 19 00:00:58,000 --> 00:01:00,639 Speaker 3: The whole year has been even though the world's been 20 00:01:00,760 --> 00:01:04,320 Speaker 3: volatile and we've had all these economic issues, we still 21 00:01:04,360 --> 00:01:08,119 Speaker 3: power through accelerating each quarter and being able to come 22 00:01:08,160 --> 00:01:12,280 Speaker 3: in almost adjusted, if it's up almost ten billion dollars, 23 00:01:12,560 --> 00:01:15,840 Speaker 3: returning over eight of it to a billion to the shareholders. 24 00:01:16,080 --> 00:01:19,440 Speaker 3: This is just fantastic going well. And it's interesting too. 25 00:01:19,520 --> 00:01:21,520 Speaker 3: It's not like the world changed anything from what we 26 00:01:21,560 --> 00:01:24,240 Speaker 3: said last night that would cause people to be more 27 00:01:24,280 --> 00:01:26,520 Speaker 3: concerned about AI affecting our business. 28 00:01:26,520 --> 00:01:26,839 Speaker 1: Effect. 29 00:01:26,880 --> 00:01:30,479 Speaker 3: AI is a positive for our business. That's what's so interesting. 30 00:01:30,520 --> 00:01:32,960 Speaker 3: And I'm not sure anything I said that would have 31 00:01:33,120 --> 00:01:36,520 Speaker 3: caused anybody to think anything different, But clearly it's going 32 00:01:36,560 --> 00:01:38,680 Speaker 3: to take some time for this all to shake out 33 00:01:39,000 --> 00:01:42,839 Speaker 3: and people see the benefits that we are producing through AI. 34 00:01:43,319 --> 00:01:46,039 Speaker 2: Well, let's get to it, because the criticism maybe goes. 35 00:01:46,440 --> 00:01:49,640 Speaker 2: I can open up my Gemini or chat Ept or 36 00:01:49,640 --> 00:01:52,000 Speaker 2: whatever and have it booked for me at some point. 37 00:01:52,120 --> 00:01:54,960 Speaker 2: You know, my entire trip a hotel, of flight and cars. 38 00:01:54,960 --> 00:01:57,080 Speaker 2: So why would I need booking holdings in any of 39 00:01:57,120 --> 00:01:59,720 Speaker 2: the companies under your umbrella? Glenn? What would be your 40 00:01:59,720 --> 00:02:00,600 Speaker 2: rep to that? 41 00:02:01,680 --> 00:02:03,760 Speaker 3: Well, we don't have the time to go through all 42 00:02:03,800 --> 00:02:06,160 Speaker 3: the reasons, and there are a lot why that is 43 00:02:06,200 --> 00:02:08,960 Speaker 3: not the way the world is going to be. But 44 00:02:09,080 --> 00:02:11,840 Speaker 3: I will say that here's an example of a path 45 00:02:12,520 --> 00:02:14,880 Speaker 3: in the past where people have tried that. Look at Google, 46 00:02:15,280 --> 00:02:18,799 Speaker 3: enormous company, very big, at the top of the travel funnel, 47 00:02:18,840 --> 00:02:21,200 Speaker 3: peole going to Google first trying to figure out what 48 00:02:21,240 --> 00:02:22,720 Speaker 3: they wanted, and Google try. 49 00:02:22,800 --> 00:02:26,320 Speaker 1: They actually did do this thing called book on Google, and. 50 00:02:26,280 --> 00:02:29,080 Speaker 3: Then they pulled back from that want because this is 51 00:02:29,120 --> 00:02:31,760 Speaker 3: a lot more complex than one would think. I mean, 52 00:02:31,800 --> 00:02:34,480 Speaker 3: the supplier proposition that we deal with. We deal with 53 00:02:34,520 --> 00:02:38,600 Speaker 3: over four million properties globally, and it's not all they 54 00:02:38,720 --> 00:02:41,760 Speaker 3: just put in the prices and the availability of This 55 00:02:41,880 --> 00:02:43,520 Speaker 3: is some of the connectivity you got to work with 56 00:02:43,720 --> 00:02:46,959 Speaker 3: day by day, and it's working with these managers of 57 00:02:47,040 --> 00:02:49,760 Speaker 3: these properties in terms of what should they be putting 58 00:02:49,800 --> 00:02:52,440 Speaker 3: out in terms of sales, in terms of geo prices, 59 00:02:52,520 --> 00:02:53,440 Speaker 3: mobile prices. 60 00:02:53,639 --> 00:02:55,440 Speaker 1: We have our loyalty program genius. 61 00:02:55,480 --> 00:02:58,840 Speaker 3: I mean, we talked last night about about mid sixty 62 00:02:58,840 --> 00:03:01,560 Speaker 3: percent of the people are coming to us direct and 63 00:03:01,600 --> 00:03:04,720 Speaker 3: when we have those AI tools, we're making even better 64 00:03:04,880 --> 00:03:07,240 Speaker 3: so you can do your entire trip. It's not just 65 00:03:07,320 --> 00:03:10,160 Speaker 3: the hotel, it's the flight, it's the ground, transport data, 66 00:03:09,919 --> 00:03:13,040 Speaker 3: and it's attractions. What you do putting that all together, 67 00:03:13,120 --> 00:03:16,120 Speaker 3: stitching together with AI produces a much better thing. 68 00:03:16,360 --> 00:03:18,720 Speaker 1: And then the customer service and the trust that will 69 00:03:18,760 --> 00:03:21,960 Speaker 1: acts be done right. And that's really complicated stuff that 70 00:03:22,120 --> 00:03:23,200 Speaker 1: we do so well. 71 00:03:23,440 --> 00:03:26,080 Speaker 3: And by the way, you tell me Gemini or Chat 72 00:03:26,120 --> 00:03:28,320 Speaker 3: TVT you're going to do this will have fun with 73 00:03:28,400 --> 00:03:32,000 Speaker 3: the merchant of record issues and regulations. I mean, if 74 00:03:32,000 --> 00:03:33,880 Speaker 3: you go to Europe, all the issues you have to 75 00:03:33,919 --> 00:03:35,400 Speaker 3: deal with in terms of making sure. 76 00:03:35,320 --> 00:03:37,520 Speaker 1: You're doing this within the regulatory framework. 77 00:03:37,920 --> 00:03:41,240 Speaker 4: I do not believe that the tech companies, and this 78 00:03:41,360 --> 00:03:44,200 Speaker 4: is proved by Google when they see how difficult is 79 00:03:44,440 --> 00:03:47,480 Speaker 4: how much you need boots on the ground to say, 80 00:03:47,520 --> 00:03:49,880 Speaker 4: you know, we can make a lot more money on advertising, 81 00:03:49,920 --> 00:03:51,520 Speaker 4: which is what Google does. 82 00:03:51,520 --> 00:03:53,120 Speaker 1: And together we need a lot of money. 83 00:03:53,360 --> 00:03:56,160 Speaker 3: Now we're doing it with CHATGBT where we are one 84 00:03:56,160 --> 00:03:58,880 Speaker 3: of the first people in we're putting in advertisements at 85 00:03:58,880 --> 00:04:01,920 Speaker 3: the bottom of the results that come out of JIGBT. 86 00:04:02,520 --> 00:04:04,040 Speaker 1: Perhaps they will move into. 87 00:04:03,840 --> 00:04:06,360 Speaker 3: More a Google way in terms of using an auction 88 00:04:07,480 --> 00:04:09,800 Speaker 3: method for advertising, which go to be wonderful for us 89 00:04:09,840 --> 00:04:10,640 Speaker 3: and good for them. 90 00:04:11,000 --> 00:04:11,960 Speaker 1: We'll see what happens. 91 00:04:12,000 --> 00:04:14,160 Speaker 3: By the idea that people are going to be going 92 00:04:14,200 --> 00:04:17,039 Speaker 3: to a large language model and doing their booking and 93 00:04:17,080 --> 00:04:19,080 Speaker 3: it's all going to work fine and no problems. 94 00:04:19,400 --> 00:04:21,680 Speaker 1: I do not believe that's the way the world's going 95 00:04:21,720 --> 00:04:22,080 Speaker 1: to work. 96 00:04:22,400 --> 00:04:24,800 Speaker 2: Glenn. I got to say, I really do feel for you. 97 00:04:24,880 --> 00:04:26,720 Speaker 2: I mean, it's a lot of CEOs in your position 98 00:04:26,800 --> 00:04:28,679 Speaker 2: that are having to deal with this that a market 99 00:04:28,720 --> 00:04:31,680 Speaker 2: that's just like throwing everything out with the bathwater because 100 00:04:31,680 --> 00:04:33,840 Speaker 2: they don't know how things are going to look. I'm 101 00:04:33,880 --> 00:04:37,360 Speaker 2: curious from your end, what has it been like to onboard, 102 00:04:37,480 --> 00:04:40,840 Speaker 2: to hire to find AI talent that can guide booking 103 00:04:41,200 --> 00:04:44,920 Speaker 2: into this next era? Because all of this feels relatively new. 104 00:04:45,320 --> 00:04:47,960 Speaker 2: How difficult or maybe easy is it to get a 105 00:04:48,000 --> 00:04:52,120 Speaker 2: handle of how you reshape booking to incorporate some of 106 00:04:52,160 --> 00:04:53,520 Speaker 2: these AI tools. 107 00:04:54,240 --> 00:04:54,440 Speaker 1: Yeah. 108 00:04:54,480 --> 00:04:56,840 Speaker 3: So I'm in the company now twenty six years. This 109 00:04:56,920 --> 00:04:59,920 Speaker 3: is my tenth year is CEO. And yet look, take 110 00:05:00,040 --> 00:05:03,400 Speaker 3: knowledge has been changing over these core cour of a 111 00:05:03,480 --> 00:05:05,880 Speaker 3: centry and trying to get the right people, the good 112 00:05:05,920 --> 00:05:07,039 Speaker 3: talent to be able to do that. 113 00:05:07,040 --> 00:05:09,080 Speaker 1: That's been done for a quarter of a century, been 114 00:05:09,080 --> 00:05:09,520 Speaker 1: doing that. 115 00:05:09,800 --> 00:05:11,880 Speaker 3: It's no different now than it was in the past. 116 00:05:11,880 --> 00:05:13,839 Speaker 3: And by the way, we started with AI more than 117 00:05:13,839 --> 00:05:17,400 Speaker 3: a dozen years ago. Man machine learning models that were 118 00:05:17,440 --> 00:05:19,960 Speaker 3: being used to make sure you saw the best properties. 119 00:05:20,360 --> 00:05:24,279 Speaker 3: That's AI and now generative sure, it's you know, you 120 00:05:24,320 --> 00:05:25,920 Speaker 3: got to find the right people. But I'll tell you 121 00:05:26,000 --> 00:05:28,920 Speaker 3: we're not. We're not researchers doing the top end, and 122 00:05:28,960 --> 00:05:31,919 Speaker 3: we're certainly not spending hundreds of billions of dollars to 123 00:05:31,960 --> 00:05:35,520 Speaker 3: build how new models like some of the frontier players are. 124 00:05:35,760 --> 00:05:40,960 Speaker 3: We're using those models that doesn't require quite the same talent. 125 00:05:41,080 --> 00:05:43,120 Speaker 1: That are using and trying to come out with these 126 00:05:43,160 --> 00:05:44,480 Speaker 1: new one full models. 127 00:05:44,520 --> 00:05:46,120 Speaker 2: And if I can just jump in because we're running 128 00:05:46,120 --> 00:05:47,520 Speaker 2: out of time and I don't want to only ask 129 00:05:47,560 --> 00:05:49,400 Speaker 2: you about AI, I want to ask you about other 130 00:05:49,440 --> 00:05:52,359 Speaker 2: things too. How is your customer right now? What is 131 00:05:52,400 --> 00:05:54,360 Speaker 2: the strength? What is the willingness of people not just 132 00:05:54,400 --> 00:05:56,919 Speaker 2: to book vacations and book all the things that go 133 00:05:57,040 --> 00:05:59,360 Speaker 2: with it, but also spend on those. 134 00:06:00,200 --> 00:06:03,640 Speaker 3: Yeah, no people want to spend is certainly the higher 135 00:06:03,760 --> 00:06:07,400 Speaker 3: ends of the economic strata. People are definitely spending usets 136 00:06:07,400 --> 00:06:09,479 Speaker 3: in our numbers. So we came out with what the 137 00:06:09,520 --> 00:06:13,080 Speaker 3: guides that looks good and we definitely see assuming there 138 00:06:13,120 --> 00:06:16,320 Speaker 3: are no macro events that happen, we assume that people 139 00:06:16,320 --> 00:06:17,800 Speaker 3: are going to continue to do what they did in 140 00:06:17,880 --> 00:06:20,720 Speaker 3: twenty twenty five, which is help explore the world. That's 141 00:06:20,760 --> 00:06:24,360 Speaker 3: our mission making it easier for everybody experience the world. 142 00:06:24,520 --> 00:06:26,720 Speaker 3: And I'll tell you it's a wonderful time right now 143 00:06:26,839 --> 00:06:29,159 Speaker 3: for travel because it's not the excitement and going out 144 00:06:29,200 --> 00:06:31,680 Speaker 3: by using AI and all these new technologies. 145 00:06:31,880 --> 00:06:33,960 Speaker 2: Glenn, thank you so much for joining this morning. We 146 00:06:34,000 --> 00:06:37,160 Speaker 2: appreciate your time. Glenn Foegel, the CEO of Booking Holdings,