1 00:00:02,240 --> 00:00:05,600 Speaker 1: From the heart of where innovation, money and power collive 2 00:00:06,360 --> 00:00:10,880 Speaker 1: in Silicon Valley and beyond. This is Bloomberg Technology with 3 00:00:10,920 --> 00:00:27,760 Speaker 1: Emily jay I remember the check in San Francisco, and 4 00:00:27,760 --> 00:00:31,200 Speaker 1: this is Bloomberg Technology coming up in the next hours. 5 00:00:31,520 --> 00:00:35,040 Speaker 1: Some of the world's most recognizable brands, from Apple to 6 00:00:35,080 --> 00:00:38,400 Speaker 1: Coca Cola, are being worn to pull advertising from Twitter, 7 00:00:38,440 --> 00:00:42,280 Speaker 1: depending on how Elon Musk moderates content or not. But 8 00:00:42,479 --> 00:00:44,960 Speaker 1: it's not just Twitter that has an ad problem. All 9 00:00:45,320 --> 00:00:48,400 Speaker 1: major social networks are re link from fewer AD dollars 10 00:00:48,680 --> 00:00:51,280 Speaker 1: will even go to social media in the future or 11 00:00:51,360 --> 00:00:55,480 Speaker 1: fleet to streaming we'll discuss. Plus Airbnb gets a reality 12 00:00:55,560 --> 00:00:58,400 Speaker 1: check as consumers shift away from higher cost rentals that 13 00:00:58,560 --> 00:01:01,840 Speaker 1: thrived in the pandemic. CEO Brian Chesky joins us to 14 00:01:01,880 --> 00:01:05,360 Speaker 1: talk about his outlook on travel and address those high 15 00:01:05,480 --> 00:01:09,039 Speaker 1: cleaning fees, and as tensions between the US and trying 16 00:01:09,040 --> 00:01:13,200 Speaker 1: to persist, how do businesses change their strategy? Plus where 17 00:01:13,400 --> 00:01:17,840 Speaker 1: is Jack mob? A former Ali Baba Exact will join us, 18 00:01:18,200 --> 00:01:21,560 Speaker 1: but first a little bit more about Twitter and advertising. 19 00:01:21,560 --> 00:01:24,280 Speaker 1: Elon Musk taking over Twitter at one of the most 20 00:01:24,319 --> 00:01:27,320 Speaker 1: precarious moments for big tech companies that have built massive 21 00:01:27,400 --> 00:01:32,120 Speaker 1: businesses based on ad revenue. Platforms we've taken for granted, 22 00:01:32,240 --> 00:01:36,559 Speaker 1: like Twitter, Facebook, Instagram have been free to users thanks 23 00:01:36,560 --> 00:01:39,479 Speaker 1: to those ads. But that I'm beginning to change and 24 00:01:39,560 --> 00:01:42,520 Speaker 1: could continue to change fast from where I want to 25 00:01:42,520 --> 00:01:45,760 Speaker 1: bring in Bloomberg's Kurt Wagner. Kurt, before we go any farther, 26 00:01:45,920 --> 00:01:50,240 Speaker 1: what's actually happening with Twitter's ad products right now? We've 27 00:01:50,400 --> 00:01:54,240 Speaker 1: there's been talk about a potential advertiser boycott elon musks, 28 00:01:54,280 --> 00:01:57,880 Speaker 1: but some ideas out there about a subscription. Where do 29 00:01:57,920 --> 00:02:00,960 Speaker 1: we stand right now? Yeah, I mean right now everything 30 00:02:01,040 --> 00:02:03,600 Speaker 1: is sort of where was, you know, last week, But 31 00:02:03,880 --> 00:02:07,000 Speaker 1: you just mentioned there's some looming things that could be 32 00:02:07,120 --> 00:02:11,960 Speaker 1: incredibly impactful. The first is this potential boycott, right like 33 00:02:12,000 --> 00:02:15,520 Speaker 1: this idea that advertisers are going to say, hey, we're 34 00:02:15,520 --> 00:02:17,800 Speaker 1: not going to spend money on this platform and unless 35 00:02:17,840 --> 00:02:21,239 Speaker 1: you do certain things around speech or or policing of speech. 36 00:02:21,280 --> 00:02:23,120 Speaker 1: And we saw that with Facebook a few years ago, 37 00:02:23,160 --> 00:02:26,000 Speaker 1: Emily you probably remember, and it was a big deal. 38 00:02:26,200 --> 00:02:29,000 Speaker 1: But Facebook was able to weather that storm um for 39 00:02:29,040 --> 00:02:30,560 Speaker 1: a couple of reasons, and one of them was that, 40 00:02:30,720 --> 00:02:32,679 Speaker 1: you know, they had Cheryl Stamberg out there talking to 41 00:02:32,720 --> 00:02:36,239 Speaker 1: advertisers and other senior leaders. Now all the senior leaders 42 00:02:36,240 --> 00:02:38,880 Speaker 1: that Twitter who would be having those conversations are gone. 43 00:02:39,080 --> 00:02:41,440 Speaker 1: And so that's why I feel like an advertising boycott 44 00:02:41,480 --> 00:02:44,400 Speaker 1: at Twitter could be kind of dicey um. If indeed 45 00:02:44,560 --> 00:02:47,000 Speaker 1: that is the route that some people go, which you know, 46 00:02:47,040 --> 00:02:48,600 Speaker 1: as we've seen they'd be willing to do it before, 47 00:02:48,600 --> 00:02:53,320 Speaker 1: I wouldn't be surprised if that something like that happens again. Meantime, 48 00:02:53,360 --> 00:02:55,919 Speaker 1: you know, Twitter is grappling with the fact that advertisers 49 00:02:56,120 --> 00:02:59,280 Speaker 1: are potentially going elsewhere in general, and also facing a 50 00:02:59,280 --> 00:03:03,919 Speaker 1: massive econom mic slowdown. How our advertisers thinking about whether 51 00:03:03,960 --> 00:03:07,000 Speaker 1: to spend their dollars on social media or look to 52 00:03:07,160 --> 00:03:12,079 Speaker 1: things like streaming. I mean, this sounds so obvious, but 53 00:03:12,240 --> 00:03:15,320 Speaker 1: if you're an advertiser, especially right now, when budgets are 54 00:03:15,320 --> 00:03:18,160 Speaker 1: a little bit tighter, when there's this massive inflation issue 55 00:03:18,200 --> 00:03:20,840 Speaker 1: that's going on, You're only going to spend money where 56 00:03:20,919 --> 00:03:23,320 Speaker 1: you can see a return on that investment, Right. So 57 00:03:23,680 --> 00:03:27,800 Speaker 1: that historically has been places like Google and Facebook, places 58 00:03:27,840 --> 00:03:31,160 Speaker 1: with really strong direct response businesses. Right. So I put 59 00:03:31,160 --> 00:03:34,000 Speaker 1: a dollar in and I know, with some you know, consistency, 60 00:03:34,000 --> 00:03:36,760 Speaker 1: I'm going to get a dollar fifty and sales out now. 61 00:03:37,120 --> 00:03:40,400 Speaker 1: Twitter is always been different than that. They've always specialized 62 00:03:40,400 --> 00:03:42,240 Speaker 1: in what's called brand advertising, right. It's the kind of 63 00:03:42,240 --> 00:03:43,800 Speaker 1: stuff you see around the super Bowl or on a 64 00:03:43,800 --> 00:03:47,200 Speaker 1: billboard or whatever that is not necessarily something that is 65 00:03:47,240 --> 00:03:49,520 Speaker 1: easy to measure for r O. I, it's not the 66 00:03:49,600 --> 00:03:51,880 Speaker 1: kind of thing that I think when uh, you know, 67 00:03:52,560 --> 00:03:55,120 Speaker 1: times are tough and money is that you want to 68 00:03:55,160 --> 00:03:56,600 Speaker 1: go spend a bunch of money on that. So I 69 00:03:56,600 --> 00:03:59,520 Speaker 1: do think, regardless of what's going on with Ellen, I 70 00:03:59,520 --> 00:04:01,520 Speaker 1: just think aending money on Twitter right now is probably 71 00:04:01,560 --> 00:04:04,320 Speaker 1: a tough you know, sell, just given the environment that 72 00:04:04,360 --> 00:04:09,200 Speaker 1: we're in economically. We heard a little bit from Kathy Would, 73 00:04:09,360 --> 00:04:13,320 Speaker 1: who seems excited about Elon Musk's plans per usual. Let's 74 00:04:13,320 --> 00:04:15,480 Speaker 1: take a quick listen to what she had to say 75 00:04:15,480 --> 00:04:20,680 Speaker 1: on Bloomberg earlier today. This subscription advertising model is a 76 00:04:20,800 --> 00:04:23,279 Speaker 1: very smart move if he goes in that direction. The 77 00:04:23,440 --> 00:04:26,720 Speaker 1: verification that little check is very important to people and 78 00:04:26,960 --> 00:04:32,640 Speaker 1: could help clean up the platform considerably. You know, it's 79 00:04:32,640 --> 00:04:35,320 Speaker 1: not surprising that someone like Kathy Would would be excited 80 00:04:35,320 --> 00:04:39,120 Speaker 1: about Elon Musk's plans, But you know, what do you 81 00:04:39,160 --> 00:04:42,520 Speaker 1: make of her support and whether you know there will 82 00:04:42,600 --> 00:04:46,760 Speaker 1: be a wave of advertisers and and people out there 83 00:04:46,880 --> 00:04:50,359 Speaker 1: who like what Ellen is doing. Yeah, I'm smiling, not 84 00:04:50,520 --> 00:04:54,760 Speaker 1: because you know, I I necessarily disagree that the blue 85 00:04:54,839 --> 00:04:58,120 Speaker 1: check has value. I'm just not sure that this idea 86 00:04:58,120 --> 00:04:59,800 Speaker 1: that it's going to clean up the service of FO 87 00:05:00,279 --> 00:05:02,200 Speaker 1: really makes a whole lot of sense. We've seen Elon 88 00:05:02,320 --> 00:05:04,719 Speaker 1: talk about this as well, right that, well, once I 89 00:05:04,760 --> 00:05:08,080 Speaker 1: start charging for the blue check, you know, bots won't 90 00:05:08,120 --> 00:05:09,839 Speaker 1: pay for the blue check, and then we'll know who's 91 00:05:09,920 --> 00:05:13,520 Speaker 1: real and who's not. Well, that implies, emily that regular 92 00:05:13,600 --> 00:05:15,880 Speaker 1: people are going to pay for a blue check mark 93 00:05:15,920 --> 00:05:19,000 Speaker 1: two and eight dollars a month. Uh, is not, you know, 94 00:05:19,600 --> 00:05:22,760 Speaker 1: necessarily something that people are willing to fork over for 95 00:05:23,000 --> 00:05:25,200 Speaker 1: you know, proven to Elon Muskata that they are a 96 00:05:25,279 --> 00:05:28,360 Speaker 1: human being. And so I'm curious to see how this works. 97 00:05:28,400 --> 00:05:31,320 Speaker 1: To me, it feels relatively rushed. Um, maybe there's more 98 00:05:31,400 --> 00:05:33,080 Speaker 1: nuanced to it that we just haven't learned yet, right 99 00:05:33,120 --> 00:05:35,120 Speaker 1: because a lot of this he's just conveying via his 100 00:05:35,160 --> 00:05:37,800 Speaker 1: own tweets. So perhaps there's a much broader plan that 101 00:05:37,839 --> 00:05:40,159 Speaker 1: we're just not seen. But at least on the surface, 102 00:05:40,200 --> 00:05:42,880 Speaker 1: I feel like this idea of you know, we're suddenly 103 00:05:42,880 --> 00:05:45,200 Speaker 1: gonna know who the humans are and who the bots 104 00:05:45,240 --> 00:05:47,440 Speaker 1: are because the humans are the ones who are gonna pay. 105 00:05:47,839 --> 00:05:50,479 Speaker 1: It just doesn't feel realistic when you have, you know, 106 00:05:50,560 --> 00:05:52,720 Speaker 1: hundreds of millions people on the service, Not that many 107 00:05:52,760 --> 00:05:54,960 Speaker 1: people are gonna want to pay for this? All right? 108 00:05:55,320 --> 00:05:59,480 Speaker 1: Uh so much more, tv D, Blueworks, Kart Wariner, thank you. 109 00:05:59,560 --> 00:06:02,799 Speaker 1: Of course, all of your reporting on Twitter will continue 110 00:06:02,839 --> 00:06:15,080 Speaker 1: to follow. Uh your stuff. Let's get back to earnings now, 111 00:06:15,160 --> 00:06:18,560 Speaker 1: with Airbnb reporting big revenue and net income numbers, but 112 00:06:18,640 --> 00:06:22,640 Speaker 1: shares falling after the company gave a disappointing outlook for 113 00:06:22,760 --> 00:06:26,560 Speaker 1: bookings in the fourth quarter, closing down more than I 114 00:06:26,600 --> 00:06:29,480 Speaker 1: want to bring in see O Brian Chesky to address 115 00:06:29,520 --> 00:06:32,000 Speaker 1: it all now, Brian, thank you as always for joining us. 116 00:06:32,080 --> 00:06:35,120 Speaker 1: So one point to billion in net income, two point 117 00:06:35,320 --> 00:06:38,960 Speaker 1: nine billion in revenue. These are big numbers, um, but 118 00:06:39,480 --> 00:06:44,039 Speaker 1: investors still pretty disappointed. What's your response to this big 119 00:06:44,080 --> 00:06:46,840 Speaker 1: stock plunge. I believe it's the biggest stock market job 120 00:06:46,920 --> 00:06:50,479 Speaker 1: for Airbnb since going public. Well, you know, I've tried 121 00:06:50,520 --> 00:06:52,919 Speaker 1: to make sure that we focus on what we can 122 00:06:53,000 --> 00:06:56,320 Speaker 1: deliver in your ami, we delivered a record quarter a 123 00:06:56,480 --> 00:06:59,440 Speaker 1: billion and a half of ibada, nearly a billion dollars 124 00:06:59,520 --> 00:07:02,480 Speaker 1: in freak ash flow, three point three billion dollars in 125 00:07:02,520 --> 00:07:05,039 Speaker 1: the trailing twelve months. I think that you know, people 126 00:07:05,080 --> 00:07:07,200 Speaker 1: in the world, this is a very uncertain time and 127 00:07:07,279 --> 00:07:10,520 Speaker 1: everyone's really looking for indications of what the future holds. 128 00:07:11,080 --> 00:07:13,320 Speaker 1: Um We've tried to make very clear on the call 129 00:07:13,440 --> 00:07:15,920 Speaker 1: that we're actually feeling very confident about Q four. So 130 00:07:16,560 --> 00:07:19,600 Speaker 1: people are traveling, that's why results were really good in 131 00:07:19,680 --> 00:07:21,720 Speaker 1: Q three, and we're actually feeling really confident. I don't 132 00:07:21,720 --> 00:07:23,560 Speaker 1: want to make sure people know that. So let's hold 133 00:07:23,560 --> 00:07:26,920 Speaker 1: on in on this moderating of booking growth that you see. 134 00:07:27,080 --> 00:07:31,080 Speaker 1: If we are heading into a long term recession, who's 135 00:07:31,120 --> 00:07:33,680 Speaker 1: to say that that consumers aren't going to cut back 136 00:07:34,080 --> 00:07:36,960 Speaker 1: on travel or aren't going to choose to stay in cheaper, 137 00:07:37,160 --> 00:07:40,720 Speaker 1: closer places rather than splurge on that trip abroad, and 138 00:07:40,760 --> 00:07:43,520 Speaker 1: that that's going to add up for Airbnb. Well, this 139 00:07:43,600 --> 00:07:45,640 Speaker 1: is a great point, Emily. One of the things I 140 00:07:45,760 --> 00:07:47,200 Speaker 1: just say, though, is that one of the things we 141 00:07:47,360 --> 00:07:49,960 Speaker 1: learn in the pandemic is that we have a very 142 00:07:50,080 --> 00:07:54,920 Speaker 1: adaptable business model. For example, member recall in air bing 143 00:07:54,960 --> 00:07:58,400 Speaker 1: b was the first company to rebound in all of travel. 144 00:07:58,600 --> 00:08:00,400 Speaker 1: That's partly why we had such a six sus y 145 00:08:00,480 --> 00:08:02,280 Speaker 1: p O. And the reason why is we are a 146 00:08:02,360 --> 00:08:05,000 Speaker 1: more affordable option. We have never nearly every type of 147 00:08:05,000 --> 00:08:07,680 Speaker 1: space in nearly every community, so if people cut back 148 00:08:07,920 --> 00:08:10,880 Speaker 1: cross border travel, they might start working more from Airbnb. 149 00:08:11,040 --> 00:08:13,640 Speaker 1: So we found a very brasilient model and that's something 150 00:08:13,680 --> 00:08:17,720 Speaker 1: I'm feeling really confident about. Chris Bryant, are Bloomberg opinion columnist, 151 00:08:17,800 --> 00:08:20,920 Speaker 1: had an interesting take. He suggested, if Airbnb has a 152 00:08:21,000 --> 00:08:24,160 Speaker 1: problem is that you're making too much money, how do 153 00:08:24,240 --> 00:08:26,720 Speaker 1: you respond to that? No one whatever told us that 154 00:08:26,800 --> 00:08:28,640 Speaker 1: two and a half years ago we were losing two 155 00:08:28,960 --> 00:08:31,000 Speaker 1: d fifty million dollars a year in Evada, And of 156 00:08:31,080 --> 00:08:33,720 Speaker 1: course now we delivered a billion and a half dollars 157 00:08:33,800 --> 00:08:36,920 Speaker 1: in Evada in the quarter. You know, we are increasingly 158 00:08:37,080 --> 00:08:40,520 Speaker 1: investing more in the customer experience every year. The reason 159 00:08:40,559 --> 00:08:44,079 Speaker 1: we're getting more profitable is we're more efficient. We're incredibly disciplined. 160 00:08:44,120 --> 00:08:46,679 Speaker 1: We only have six thousand employees. We spent a lot 161 00:08:46,800 --> 00:08:49,480 Speaker 1: less on marketing than any other travel company of our 162 00:08:49,559 --> 00:08:52,520 Speaker 1: size in the online space. But you know, with air cover, 163 00:08:52,640 --> 00:08:55,600 Speaker 1: we're investing a lot more in the customer experience this year. 164 00:08:55,880 --> 00:08:57,839 Speaker 1: So we're going to continue to be more efficient, but 165 00:08:57,920 --> 00:09:00,720 Speaker 1: we're going to continue to deliver more more for customers. 166 00:09:00,840 --> 00:09:03,679 Speaker 1: And I also understand that people really care about value. 167 00:09:04,000 --> 00:09:06,120 Speaker 1: They want to make sure that Airbnb is still a 168 00:09:06,200 --> 00:09:08,720 Speaker 1: brand you can come to get a great value. We're 169 00:09:08,800 --> 00:09:11,400 Speaker 1: known for affordable travel, and I know that people are 170 00:09:11,440 --> 00:09:14,520 Speaker 1: really concerned about whether or not our our aerbans will 171 00:09:14,520 --> 00:09:16,800 Speaker 1: continue to be affordable, and they will be. We're going 172 00:09:16,840 --> 00:09:19,479 Speaker 1: to continue to focus and making sure our prices are competitive, 173 00:09:19,880 --> 00:09:21,880 Speaker 1: and so that's what we're focused on. So let's talk 174 00:09:21,880 --> 00:09:25,520 Speaker 1: about the transparency around pricing that you hinted at. I 175 00:09:25,600 --> 00:09:28,599 Speaker 1: think we've all had that feeling of looking at a 176 00:09:28,679 --> 00:09:31,400 Speaker 1: rental on Airbnb. Then we click all the way through 177 00:09:31,520 --> 00:09:33,960 Speaker 1: and and the price change is given, all the fees, 178 00:09:34,080 --> 00:09:36,719 Speaker 1: the cleaning fee, et cetera. What can we expect that 179 00:09:37,280 --> 00:09:41,000 Speaker 1: transparency to look like? Well, yeah, and I think there's 180 00:09:41,040 --> 00:09:44,600 Speaker 1: two things going on. The first is people, we want 181 00:09:44,640 --> 00:09:48,280 Speaker 1: people to understand our pricing not be surprised. The second 182 00:09:48,360 --> 00:09:49,959 Speaker 1: is we want to make sure that when they do 183 00:09:50,080 --> 00:09:51,880 Speaker 1: see the final price, they feel really good about the 184 00:09:51,920 --> 00:09:54,599 Speaker 1: final price and it's still a great value. So we 185 00:09:54,679 --> 00:09:57,560 Speaker 1: are working on updating some of the designs for our 186 00:09:57,600 --> 00:10:01,000 Speaker 1: platform to make everything even more intuitive, and we're gonna 187 00:10:01,000 --> 00:10:04,120 Speaker 1: have some updates very very soon, so stay tuned. Let's 188 00:10:04,160 --> 00:10:06,400 Speaker 1: talk a little bit about average daily rates. There's an 189 00:10:06,440 --> 00:10:08,520 Speaker 1: expectation those are going to come under pressure in the 190 00:10:08,600 --> 00:10:12,160 Speaker 1: next quarter given the strong dollar, if the bookings mix 191 00:10:12,520 --> 00:10:17,000 Speaker 1: shifts to potentially cheaper rentals. Can you give us some 192 00:10:17,160 --> 00:10:21,080 Speaker 1: insight on consumer preferences right now? What do consumers want 193 00:10:21,440 --> 00:10:25,839 Speaker 1: that you're seeing through the holiday season and we're not 194 00:10:25,960 --> 00:10:28,760 Speaker 1: seeing a major change. I mean, what I would say 195 00:10:28,880 --> 00:10:31,080 Speaker 1: is the reason that price per night on abomy has 196 00:10:31,080 --> 00:10:33,520 Speaker 1: gone up in the last couple of years is before 197 00:10:33,559 --> 00:10:37,120 Speaker 1: the pandemic, most people were using Airbnb to cross the 198 00:10:37,200 --> 00:10:39,599 Speaker 1: border and stay in a city and stay in a 199 00:10:39,679 --> 00:10:42,199 Speaker 1: one bedroom, two bedroom a place. Now a lot of 200 00:10:42,240 --> 00:10:44,880 Speaker 1: people are booking three, four or five bedroom homes and 201 00:10:44,920 --> 00:10:47,120 Speaker 1: they're doing it because they're going with their friends, their families, 202 00:10:47,160 --> 00:10:49,400 Speaker 1: their coworkers, or they're living in the house. And so 203 00:10:49,520 --> 00:10:52,200 Speaker 1: now the average duol rates higher because the homes are bigger. 204 00:10:52,920 --> 00:10:56,920 Speaker 1: What we think is when Asia recovers, that could moderate 205 00:10:57,000 --> 00:10:58,640 Speaker 1: price per night a little bit. But that's a good 206 00:10:58,720 --> 00:11:01,560 Speaker 1: thing because that will actually lead to a lot more 207 00:11:01,640 --> 00:11:04,840 Speaker 1: volume because you get an entire continent to be traveling 208 00:11:04,920 --> 00:11:06,520 Speaker 1: a lot more. And I do think you're gonna see 209 00:11:06,520 --> 00:11:09,600 Speaker 1: that grow. So we actually are expecting a pretty stable 210 00:11:09,800 --> 00:11:12,880 Speaker 1: average daily rate. We're not seeing major shifts and the 211 00:11:12,920 --> 00:11:16,160 Speaker 1: way people use air VnB just yet. Long term stays 212 00:11:16,160 --> 00:11:20,959 Speaker 1: still hugely popular. About of nights book give us some 213 00:11:21,120 --> 00:11:23,800 Speaker 1: insight on that trend, because I wonder, is it plateau 214 00:11:23,960 --> 00:11:25,959 Speaker 1: ing at all? Is it slowing down? I mean, is 215 00:11:26,000 --> 00:11:29,120 Speaker 1: the growth that you saw there over No? No, I 216 00:11:29,160 --> 00:11:32,000 Speaker 1: mean honestly, long term stays is still the fastest growing 217 00:11:32,120 --> 00:11:35,439 Speaker 1: segment by length of state on Airbnb. Now because the 218 00:11:35,520 --> 00:11:38,800 Speaker 1: short term states have recovered, it's now been stable at 219 00:11:40,160 --> 00:11:43,240 Speaker 1: I do expect in the coming years ahead, though, long 220 00:11:43,360 --> 00:11:46,559 Speaker 1: term stage will probably increasingly grow as a percentage of 221 00:11:46,640 --> 00:11:49,839 Speaker 1: a business. And the reason why is because increasingly, I 222 00:11:49,880 --> 00:11:53,120 Speaker 1: think more people are gonna be flexible, fewer people have leases. 223 00:11:53,120 --> 00:11:55,440 Speaker 1: I'm not saying no one will, I'm just saying enough 224 00:11:55,520 --> 00:11:57,760 Speaker 1: for this market to continue to grow. So this is 225 00:11:57,800 --> 00:12:00,880 Speaker 1: gonna be a huge new grows owth opportunity for us 226 00:12:00,920 --> 00:12:03,319 Speaker 1: in the coming years to come. It's so fascinating just 227 00:12:03,440 --> 00:12:06,000 Speaker 1: how much how people use Airbnb has changed just in 228 00:12:06,040 --> 00:12:08,000 Speaker 1: the last couple of years. Do you have any concern 229 00:12:08,080 --> 00:12:14,160 Speaker 1: that Airbnb is over reliant potentially on long term stays. No, because, um, 230 00:12:14,440 --> 00:12:15,800 Speaker 1: you know, we just got to make sure that each 231 00:12:15,840 --> 00:12:18,640 Speaker 1: segment is growing and the long term stays aren't really 232 00:12:18,679 --> 00:12:20,920 Speaker 1: coming at the cost of short term stays. So as 233 00:12:20,960 --> 00:12:23,240 Speaker 1: long as short term stays continue to grow, think of 234 00:12:23,280 --> 00:12:25,800 Speaker 1: it as another layer. It's kind of like Amazon sales 235 00:12:25,880 --> 00:12:28,960 Speaker 1: books and now they sell electronics, now they sell another category. 236 00:12:29,440 --> 00:12:32,240 Speaker 1: We don't think these categories will necessarily cannibalize. These are 237 00:12:32,280 --> 00:12:34,800 Speaker 1: really different use cases, and a lot of people are 238 00:12:34,800 --> 00:12:38,360 Speaker 1: coming Airbnb just to list monthly stays, so this I 239 00:12:38,440 --> 00:12:40,800 Speaker 1: think can open up a lot. I actually think monthly 240 00:12:40,880 --> 00:12:43,599 Speaker 1: stays can make short term stays more popular because some 241 00:12:43,800 --> 00:12:46,120 Speaker 1: people might book an air be for a long term 242 00:12:46,200 --> 00:12:48,520 Speaker 1: stay and say, hey, that wasn't so bad staying at 243 00:12:48,559 --> 00:12:50,680 Speaker 1: someone else's home. Maybe I'll do it for a short 244 00:12:50,760 --> 00:12:52,880 Speaker 1: term stay. So may actually have a way of bringing 245 00:12:52,960 --> 00:12:55,760 Speaker 1: more customers into Airbnb. That's at least what we what 246 00:12:55,840 --> 00:12:58,760 Speaker 1: our theory is interesting. You do have some analysts out 247 00:12:58,800 --> 00:13:01,439 Speaker 1: there who seem to be thinking Airbnb is priced too 248 00:13:01,520 --> 00:13:05,559 Speaker 1: high compared to some of your travel peers, especially if 249 00:13:06,000 --> 00:13:09,280 Speaker 1: the bookings mixes changing. What are your thoughts on that. 250 00:13:09,640 --> 00:13:11,599 Speaker 1: I mean, our gusts still tell us that Aaron b 251 00:13:11,880 --> 00:13:14,440 Speaker 1: is the best value. That being said, we do want 252 00:13:14,480 --> 00:13:18,400 Speaker 1: to make sure that as the economy slows down, our 253 00:13:18,559 --> 00:13:21,199 Speaker 1: value is even better. And we do know that hotels 254 00:13:21,280 --> 00:13:23,640 Speaker 1: are starting to lower prices, and we want to make 255 00:13:23,679 --> 00:13:26,280 Speaker 1: sure that our pricing is as dynamic. So what are 256 00:13:26,320 --> 00:13:28,599 Speaker 1: things we're doing is we're investing a lot more in 257 00:13:28,760 --> 00:13:31,600 Speaker 1: pricing tools for hosts so that they can have more 258 00:13:31,720 --> 00:13:34,640 Speaker 1: dynamic pricing. And if hotels lower rates and they want 259 00:13:34,679 --> 00:13:37,000 Speaker 1: to lower rates more competitive, they can do that. So 260 00:13:37,120 --> 00:13:39,480 Speaker 1: I still think we'll offer a great value, but there 261 00:13:39,600 --> 00:13:41,520 Speaker 1: is no question that there's a lot more we can 262 00:13:41,559 --> 00:13:43,400 Speaker 1: be doing on value, and that's something we're gonna be 263 00:13:43,480 --> 00:13:46,200 Speaker 1: really focused on over the next six months in time 264 00:13:46,240 --> 00:13:48,520 Speaker 1: for next travel season. So longer term, I don't you know, 265 00:13:48,600 --> 00:13:51,600 Speaker 1: obviously you've launched categories which I know you're really excited about. 266 00:13:51,720 --> 00:13:54,160 Speaker 1: Supply is going to be key. How do you see 267 00:13:54,240 --> 00:13:57,319 Speaker 1: growth in supply over the next two years compared to 268 00:13:57,360 --> 00:14:00,560 Speaker 1: the growth you saw on supply over the last two years, 269 00:14:00,640 --> 00:14:03,160 Speaker 1: And how do you convince all of these new would 270 00:14:03,240 --> 00:14:07,559 Speaker 1: be hosts to choose Airbnb first and only potentially. I 271 00:14:07,640 --> 00:14:09,959 Speaker 1: think it's a great question. Um well, let me say this. 272 00:14:10,200 --> 00:14:12,880 Speaker 1: Number One, I expect a lot more new supply over 273 00:14:12,960 --> 00:14:15,440 Speaker 1: the next two years than the last two years. Um. 274 00:14:15,480 --> 00:14:17,400 Speaker 1: The last two years actually been pretty hard because of 275 00:14:17,440 --> 00:14:20,520 Speaker 1: the pandemic. Not everyone wanted other people in their homes. 276 00:14:20,800 --> 00:14:22,640 Speaker 1: I think the next two years they're gonna be a 277 00:14:22,720 --> 00:14:25,960 Speaker 1: lot more interested for two reasons. Number One, the further 278 00:14:26,160 --> 00:14:28,680 Speaker 1: the pandemic is behind us, the less resident they are. 279 00:14:29,040 --> 00:14:32,280 Speaker 1: But more importantly, Emily, as you recall, we started during 280 00:14:32,320 --> 00:14:35,960 Speaker 1: two thousand eight Airbnb during the Great Recession, and during 281 00:14:36,000 --> 00:14:38,840 Speaker 1: the Great Recession a lot of people needed to make 282 00:14:38,960 --> 00:14:41,760 Speaker 1: extra money and they turned to Airbnb to host for 283 00:14:41,800 --> 00:14:44,160 Speaker 1: the first time. I think that's going to happen again. 284 00:14:44,520 --> 00:14:46,520 Speaker 1: And the final thing I'll say, I'm gonna give a 285 00:14:46,600 --> 00:14:51,440 Speaker 1: plug on November six at a a m. Eastern time. 286 00:14:51,680 --> 00:14:54,360 Speaker 1: We're gonna enveil a whole new, super easy way to 287 00:14:54,480 --> 00:14:57,360 Speaker 1: list your home on Airbnb, and I think that is 288 00:14:57,640 --> 00:15:00,360 Speaker 1: going to be a big driver of a lot. More so, 289 00:15:00,640 --> 00:15:02,760 Speaker 1: we have some really cool new products. They're going to 290 00:15:02,800 --> 00:15:05,040 Speaker 1: be launching in fewer than two weeks, and I think 291 00:15:05,080 --> 00:15:08,360 Speaker 1: that's going to add an acceleration. Alright, November sixteenth, we 292 00:15:08,480 --> 00:15:11,640 Speaker 1: will be watching. Last question. Airbnb was started in the 293 00:15:11,680 --> 00:15:15,320 Speaker 1: middle of the financial crisis. You obviously survived and thrived 294 00:15:15,400 --> 00:15:19,240 Speaker 1: ultimately in the pandemic. What's your strategy on costs through 295 00:15:19,320 --> 00:15:22,600 Speaker 1: this downturn? Are you considering M and A given all 296 00:15:22,720 --> 00:15:27,880 Speaker 1: that cash and potentially opportunistic or advantageous valuations out there, 297 00:15:28,120 --> 00:15:30,480 Speaker 1: you know, how are you mapping this out? Given we 298 00:15:30,600 --> 00:15:33,040 Speaker 1: could be in this for a couple of years. That's 299 00:15:33,040 --> 00:15:35,680 Speaker 1: a great question to um. Let me tell you a 300 00:15:35,760 --> 00:15:38,200 Speaker 1: really important lesson I learned in the pandemic. You know, 301 00:15:38,720 --> 00:15:43,280 Speaker 1: in between a February in in April of two thousand 302 00:15:43,560 --> 00:15:46,240 Speaker 1: and twenty, we were one of the first companies hit 303 00:15:46,280 --> 00:15:49,040 Speaker 1: by the pandemic. We lost eighty percent of our business 304 00:15:49,240 --> 00:15:51,840 Speaker 1: in eight weeks, and a thousand of us gone to 305 00:15:51,880 --> 00:15:54,560 Speaker 1: foxhol and we rebuilt the company fair ground up. And 306 00:15:54,640 --> 00:15:58,000 Speaker 1: the company we rebuilt was a much smaller, much leaner, 307 00:15:58,320 --> 00:16:01,160 Speaker 1: much more discipline company. The reason we did three billion 308 00:16:01,200 --> 00:16:03,400 Speaker 1: dollars in free cash the last twelve months is because 309 00:16:03,440 --> 00:16:05,920 Speaker 1: of that discipline and what I told the team is, 310 00:16:06,000 --> 00:16:08,600 Speaker 1: no matter how good the economy is, no matter how 311 00:16:08,720 --> 00:16:10,880 Speaker 1: bad the economy is, we are going to try to 312 00:16:11,040 --> 00:16:14,160 Speaker 1: not ever run the company differently because of the economy. 313 00:16:14,360 --> 00:16:17,400 Speaker 1: But you can only do that if you stay disciplined, right, 314 00:16:17,440 --> 00:16:19,600 Speaker 1: You don't ever want to have to get more disciplined. 315 00:16:19,880 --> 00:16:22,600 Speaker 1: So I said, we should be prepared for a storm. 316 00:16:22,920 --> 00:16:25,080 Speaker 1: Whenever it comes. We're not going to change the way 317 00:16:25,080 --> 00:16:27,640 Speaker 1: we're on the company. And because of that, beginning this year, 318 00:16:27,720 --> 00:16:30,560 Speaker 1: we were only, for example, forecasting hiring seven percent more 319 00:16:30,640 --> 00:16:33,160 Speaker 1: employees this year. When other tech comes, we're gonna hire. 320 00:16:34,840 --> 00:16:37,080 Speaker 1: Now they have to pull back. We're not pulling back. 321 00:16:37,120 --> 00:16:38,920 Speaker 1: In fact, we're not pulling on the brakes. We're gonna 322 00:16:38,960 --> 00:16:41,160 Speaker 1: step on the gas. But stepping the gas doesn't mean 323 00:16:41,200 --> 00:16:42,720 Speaker 1: we to spend a lot more money. It's just a 324 00:16:42,800 --> 00:16:45,760 Speaker 1: lot more velocity to be a speed innovation and taking 325 00:16:45,800 --> 00:16:48,840 Speaker 1: more market share. All right, Brian Chesky, we'll keep that 326 00:16:48,920 --> 00:16:51,600 Speaker 1: in mind. CEO of Airbnb, thanks for making the time today, Brian, 327 00:16:51,800 --> 00:16:54,200 Speaker 1: appreciate it. Thank you very much. We're gonna be right 328 00:16:54,200 --> 00:16:56,320 Speaker 1: back with more of Bloomberg Technology after this quick break. 329 00:16:56,440 --> 00:17:10,600 Speaker 1: This is Bloomberg. China is making moves that will severely 330 00:17:10,760 --> 00:17:14,320 Speaker 1: curtailed shipments in and out of the world's largest iPhone factory. 331 00:17:14,440 --> 00:17:17,320 Speaker 1: Beijing is imposing a seven day lockdown on the area 332 00:17:17,400 --> 00:17:20,760 Speaker 1: in Jung Joe, this after the number of COVID cases 333 00:17:20,800 --> 00:17:25,480 Speaker 1: in the city almost quadrupled from Monday to Tuesday. And 334 00:17:25,520 --> 00:17:28,399 Speaker 1: it's a profit in sales miss for Paramount Global, the 335 00:17:28,440 --> 00:17:32,080 Speaker 1: parent company of CBS, Nickelodeon, and MTV Networks, reporting earnings 336 00:17:32,160 --> 00:17:37,480 Speaker 1: and the big problem continuing weakness in advertising. Still, there's 337 00:17:37,520 --> 00:17:40,639 Speaker 1: been a turnaround in Paramounts Film Studio, with revenue up 338 00:17:40,720 --> 00:17:44,280 Speaker 1: for in the third quarter and Top Gun Maverick is 339 00:17:44,320 --> 00:17:48,720 Speaker 1: the highest grossing film so far this year. Meantime, Amazon 340 00:17:48,800 --> 00:17:51,440 Speaker 1: also feeling the heat on its ad business and it's 341 00:17:51,480 --> 00:17:53,800 Speaker 1: now taking more drastic measures to align expenses with a 342 00:17:53,840 --> 00:17:56,760 Speaker 1: slowdown in sales. So it's just telling Bloomberg that the 343 00:17:56,800 --> 00:18:00,560 Speaker 1: world's largest e commerce company is freezing staff level in 344 00:18:00,640 --> 00:18:04,400 Speaker 1: its profitable ads business. Amazon will continue to fill vacancies 345 00:18:04,440 --> 00:18:18,159 Speaker 1: in this unit, but won't create any new jobs. Welcome 346 00:18:18,160 --> 00:18:20,440 Speaker 1: back to bloomber Technology and Emily Chang in San Francisco. 347 00:18:21,000 --> 00:18:24,440 Speaker 1: The banking sector says people and businesses are paying more 348 00:18:24,480 --> 00:18:27,600 Speaker 1: and more in the wake of ransomware attacks. Banks reported 349 00:18:27,640 --> 00:18:31,040 Speaker 1: one point to billion dollars in ransomware payments last year alone, 350 00:18:31,520 --> 00:18:35,159 Speaker 1: nearly five times as much as and that is just 351 00:18:35,280 --> 00:18:37,679 Speaker 1: a taste of what Jeff Stone will explore with Bloomberg's 352 00:18:37,680 --> 00:18:41,840 Speaker 1: weekly cyber Bulletin newsletter, including exclusive coverage inside the world 353 00:18:41,880 --> 00:18:46,160 Speaker 1: of hackers and cyber espionage and how businesses are playing defense. 354 00:18:46,240 --> 00:18:48,679 Speaker 1: Jeff tell us more about cyber Bulletin and what your 355 00:18:48,720 --> 00:18:51,280 Speaker 1: goals are here. The goal here is to help people 356 00:18:51,359 --> 00:18:54,480 Speaker 1: understand emily that cybersecurity is a lot more than ones 357 00:18:54,560 --> 00:18:56,959 Speaker 1: and zeros in the latest big data breach, There's all 358 00:18:57,040 --> 00:19:00,320 Speaker 1: kinds of characters involved in this world now, cryptocurrency fraud 359 00:19:00,359 --> 00:19:02,840 Speaker 1: as part of this, disinformation as part of this, all 360 00:19:02,920 --> 00:19:07,080 Speaker 1: kinds of influence operations, and everyone trying to monetize data. 361 00:19:07,160 --> 00:19:08,840 Speaker 1: So that's what we're trying to explore here and really 362 00:19:08,880 --> 00:19:12,359 Speaker 1: help people understand how they can protect themselves more urgently. Now. 363 00:19:12,640 --> 00:19:15,960 Speaker 1: Cyber threats have been on the rise for a while. 364 00:19:16,480 --> 00:19:19,520 Speaker 1: Why now are you launching this? We're busier than ever. 365 00:19:19,720 --> 00:19:21,920 Speaker 1: Mostly we figured we'd take on one more project, but 366 00:19:21,960 --> 00:19:25,800 Speaker 1: basically since since the invasion of Ukraine really has highlighted Uh, 367 00:19:26,080 --> 00:19:28,680 Speaker 1: this big explosion of ransomware as you as you just 368 00:19:28,800 --> 00:19:32,360 Speaker 1: alluded to, UM, it is urgent for people to get 369 00:19:32,440 --> 00:19:36,280 Speaker 1: a better sense of really what these threats look like 370 00:19:36,720 --> 00:19:40,480 Speaker 1: and how to respond in cyberspace. Again, I think people 371 00:19:40,520 --> 00:19:43,399 Speaker 1: are used to this world of email scams and different 372 00:19:43,440 --> 00:19:46,400 Speaker 1: kinds of fraud through your apps that you're still trying 373 00:19:46,440 --> 00:19:48,200 Speaker 1: to get a handle on. But we're really going to 374 00:19:48,320 --> 00:19:51,320 Speaker 1: dig in and help people, um straighten out how to 375 00:19:51,359 --> 00:19:55,800 Speaker 1: protect themselves at a more urgent time than ever. All right, Bloomberg, 376 00:19:55,880 --> 00:19:59,000 Speaker 1: Jeff Stone. You can sign up for that weekly Bloomberg 377 00:19:59,080 --> 00:20:02,720 Speaker 1: cyber Bulletin newsletter at Bloomberg dot com. Thanks, Jeff. We'll 378 00:20:02,720 --> 00:20:05,920 Speaker 1: stay tuned well for more on the state of cybersecurity. 379 00:20:05,960 --> 00:20:07,920 Speaker 1: I want to bring in Christopher Alberg, the CEO of 380 00:20:08,000 --> 00:20:12,000 Speaker 1: the cybersecurity firm Recorded Future, which is actively tracking the 381 00:20:12,080 --> 00:20:16,399 Speaker 1: cybersecurity threat level in Ukraine. Uh, Chris, give us the 382 00:20:16,560 --> 00:20:20,159 Speaker 1: latest there. You've been involved for for several months. Now, 383 00:20:20,480 --> 00:20:22,920 Speaker 1: tell us what you're most worried about at this time, 384 00:20:23,240 --> 00:20:26,240 Speaker 1: you know, it's it's really interesting. We started basically we 385 00:20:26,320 --> 00:20:28,359 Speaker 1: had worked a little bit with one particular part of 386 00:20:28,359 --> 00:20:31,399 Speaker 1: the Ukrainian government, their national search on the morning of 387 00:20:31,560 --> 00:20:34,760 Speaker 1: the four February, we sort of stood up publicly can 388 00:20:34,840 --> 00:20:37,200 Speaker 1: check out our nice tweet on that, and said, look, 389 00:20:37,280 --> 00:20:39,479 Speaker 1: we would get behind these guys and and help them 390 00:20:39,520 --> 00:20:41,680 Speaker 1: in every every in any way we can. And so 391 00:20:41,800 --> 00:20:44,440 Speaker 1: now our our intelligence platform is in the hands of 392 00:20:44,560 --> 00:20:49,040 Speaker 1: seven agencies over there, and look, it's it's been interesting, 393 00:20:49,480 --> 00:20:51,760 Speaker 1: uh AT. In the lead up of the war, there 394 00:20:51,840 --> 00:20:54,680 Speaker 1: was a whole bunch of Russian activity at the very 395 00:20:54,800 --> 00:20:58,640 Speaker 1: sort of crossover into the war. They killed a bunch 396 00:20:58,640 --> 00:21:02,440 Speaker 1: of communications and infrastructure. The Russians has taken a part 397 00:21:02,480 --> 00:21:05,000 Speaker 1: a bunch of systems. They have certainly been running a 398 00:21:05,040 --> 00:21:11,240 Speaker 1: whole bunch of destructive malware campaigns against uh called Ukrainian power, 399 00:21:11,320 --> 00:21:15,080 Speaker 1: infrastructure and the like ongoingly. What's actually been very impressive 400 00:21:15,240 --> 00:21:19,119 Speaker 1: is how the Ukrainians, together with foreign firms and foreign 401 00:21:19,320 --> 00:21:22,760 Speaker 1: intelligence agencies and help people helping them, have been able 402 00:21:22,800 --> 00:21:26,639 Speaker 1: to withstand this. That's actually the most impressive. But the 403 00:21:26,720 --> 00:21:29,800 Speaker 1: dear Russians are ongoingly going at it, and we may 404 00:21:29,880 --> 00:21:32,040 Speaker 1: not hear too much about it because office is as 405 00:21:32,160 --> 00:21:34,440 Speaker 1: much as when bullets and the like fly in the air, 406 00:21:34,800 --> 00:21:36,760 Speaker 1: a lot of other things may go to the back. 407 00:21:37,000 --> 00:21:40,520 Speaker 1: But it's it's full full speed head there. For sure. 408 00:21:41,000 --> 00:21:45,800 Speaker 1: You've been donating software g political intelligence to Ukrainian agencies. 409 00:21:45,880 --> 00:21:48,600 Speaker 1: How long are you prepared to do this for no 410 00:21:49,200 --> 00:21:52,440 Speaker 1: no ending, no ending to that. We we came out 411 00:21:52,520 --> 00:21:55,240 Speaker 1: and said we would go in all in and and 412 00:21:55,359 --> 00:21:58,280 Speaker 1: try to help them in every way we could. We 413 00:21:58,359 --> 00:22:01,440 Speaker 1: announced the big hiring initiative or hiring another hundred people 414 00:22:01,800 --> 00:22:05,520 Speaker 1: in Ukraine. We're sort of to your point. We've given 415 00:22:05,600 --> 00:22:09,560 Speaker 1: them software and access to our intelligence cloud in seven 416 00:22:09,640 --> 00:22:12,560 Speaker 1: different agencies and they're using it to to go at 417 00:22:12,880 --> 00:22:16,800 Speaker 1: cyber attacks, disinformation and helping on the battlefield. We think 418 00:22:16,840 --> 00:22:19,200 Speaker 1: it's been quite impactful. You know, obviously we can only 419 00:22:19,280 --> 00:22:22,080 Speaker 1: do our little part, but we will do it as 420 00:22:22,160 --> 00:22:24,440 Speaker 1: long as it can, as we as we can and 421 00:22:24,760 --> 00:22:26,960 Speaker 1: help them in every way they can. They need to 422 00:22:27,359 --> 00:22:29,920 Speaker 1: to be able to help them basically crush the Russians, 423 00:22:30,000 --> 00:22:31,959 Speaker 1: because that's I think what this is all about. If 424 00:22:32,000 --> 00:22:34,920 Speaker 1: I'm slightly blunt, are We've got some big midterm elections 425 00:22:34,960 --> 00:22:37,560 Speaker 1: coming up in the United States? How would you rate 426 00:22:37,640 --> 00:22:40,680 Speaker 1: the cyber threat level more broadly and what are you 427 00:22:40,800 --> 00:22:44,000 Speaker 1: most concerned about when it comes to these upcoming elections? 428 00:22:44,920 --> 00:22:47,360 Speaker 1: So I would say that it's interesting that there's sort 429 00:22:47,359 --> 00:22:50,159 Speaker 1: of the broad sort of set of disinformation activity around 430 00:22:50,240 --> 00:22:53,080 Speaker 1: that is ongoing, and it's sort of at the same 431 00:22:53,200 --> 00:22:55,879 Speaker 1: level as we saw in I think there's been a 432 00:22:55,960 --> 00:22:58,200 Speaker 1: lot of good work done by the U. S. Government 433 00:22:58,280 --> 00:23:01,040 Speaker 1: as a lot of other sort of of firms, whether 434 00:23:01,119 --> 00:23:03,280 Speaker 1: it's the social media firms and people sort of on 435 00:23:03,440 --> 00:23:05,640 Speaker 1: top of that in terms of sort of fighting back 436 00:23:05,880 --> 00:23:09,000 Speaker 1: on some of this. The Russians are still there by 437 00:23:09,200 --> 00:23:12,960 Speaker 1: no no question. I lay the Internet Research Agency in 438 00:23:13,000 --> 00:23:15,960 Speaker 1: Saint Petersburg. They're still trying to go at it, targeting 439 00:23:16,040 --> 00:23:18,520 Speaker 1: maybe a little bit sort of very targeted audiences that 440 00:23:18,640 --> 00:23:21,200 Speaker 1: they can come at. They obviously are quite busy on 441 00:23:21,280 --> 00:23:25,440 Speaker 1: the home front. The Iranians have also been pretty busy 442 00:23:25,520 --> 00:23:27,760 Speaker 1: on the home front, so maybe not not as much 443 00:23:27,960 --> 00:23:30,480 Speaker 1: we we could all have read over the last couple 444 00:23:30,480 --> 00:23:32,800 Speaker 1: of days about some interesting things with the Chinese are 445 00:23:32,840 --> 00:23:35,359 Speaker 1: going at it. So there are threats there, but I 446 00:23:35,480 --> 00:23:37,440 Speaker 1: think we're will be in good shape. The election is 447 00:23:37,480 --> 00:23:39,680 Speaker 1: gonna be safe. It's gonna be a good election. And 448 00:23:39,960 --> 00:23:42,679 Speaker 1: and even though these guys are trying, I think we're 449 00:23:42,720 --> 00:23:47,480 Speaker 1: doing better. So what's keeping you up at night right now? 450 00:23:47,720 --> 00:23:51,480 Speaker 1: That we're not talking about enough. So I think it's 451 00:23:51,600 --> 00:23:54,280 Speaker 1: you because obviously you know you've heard it in Jeff 452 00:23:54,440 --> 00:23:57,040 Speaker 1: sort of point here just now. There's plenty of cyber 453 00:23:57,080 --> 00:23:59,840 Speaker 1: activity and it's not great. But I think we haven't 454 00:24:00,040 --> 00:24:02,280 Speaker 1: been really sorted yet. I like to say that over 455 00:24:02,320 --> 00:24:04,800 Speaker 1: the last twenty five years, the world of sort of 456 00:24:04,920 --> 00:24:08,960 Speaker 1: slowly migrated onto the Internet. Uh, next twenty five years, 457 00:24:09,600 --> 00:24:11,920 Speaker 1: the Internet is sort of where it starts and the 458 00:24:12,040 --> 00:24:15,359 Speaker 1: world ends up being a reflection of the Internet. Whether 459 00:24:15,480 --> 00:24:20,960 Speaker 1: it's world power or business, or currency or money or identity, 460 00:24:21,240 --> 00:24:23,280 Speaker 1: it all is going to emerge out of the Internet. 461 00:24:23,680 --> 00:24:26,479 Speaker 1: And in that world, we better have our act together. 462 00:24:26,920 --> 00:24:29,719 Speaker 1: We think that is an incredible opportunity to build an 463 00:24:29,720 --> 00:24:32,520 Speaker 1: intelligence company. We want to be the Bloomberg of cyber 464 00:24:32,560 --> 00:24:34,960 Speaker 1: if you want. But in that but the world better 465 00:24:35,040 --> 00:24:38,399 Speaker 1: habits act together because the this Internet centric world is 466 00:24:38,800 --> 00:24:41,880 Speaker 1: going to be quite wild, and so we better all 467 00:24:42,160 --> 00:24:45,719 Speaker 1: be all be ready for a ride. I wonder how 468 00:24:45,840 --> 00:24:48,239 Speaker 1: you think about, you know, Elon Musk taking over at 469 00:24:48,280 --> 00:24:52,480 Speaker 1: Twitter potentially having a more open minded approach to to 470 00:24:52,680 --> 00:24:57,000 Speaker 1: content moderation. Does the world to have its act together? 471 00:24:58,960 --> 00:25:02,760 Speaker 1: So so dangerous subject to get into. I think he'll 472 00:25:02,800 --> 00:25:06,240 Speaker 1: do good with it. I'm sort of a very positive person, 473 00:25:06,600 --> 00:25:08,840 Speaker 1: even though I maybe sound a little bit scared there before. 474 00:25:09,280 --> 00:25:12,639 Speaker 1: I think he will have new smart ways to go 475 00:25:12,720 --> 00:25:16,320 Speaker 1: out condom moderation. Uh you know so, so I'm an 476 00:25:16,359 --> 00:25:19,159 Speaker 1: optimist about that. But you know, and if he screws 477 00:25:19,200 --> 00:25:22,000 Speaker 1: it up, the dangerous part or not dangerous dangerous part 478 00:25:22,080 --> 00:25:25,960 Speaker 1: for him is that these are pretty fleeting sort of audiences. 479 00:25:26,040 --> 00:25:28,680 Speaker 1: They'll go anywhere else. And and you know, actually maybe 480 00:25:28,840 --> 00:25:31,280 Speaker 1: one danger here is that if he doesn't handle this 481 00:25:31,440 --> 00:25:34,560 Speaker 1: one well, we might see too much of this audience 482 00:25:34,640 --> 00:25:37,040 Speaker 1: going over in the hands of TikTok. And to be honest, 483 00:25:37,080 --> 00:25:39,720 Speaker 1: I'd much rather have Ill and Musk run a great 484 00:25:39,760 --> 00:25:42,760 Speaker 1: platform or even maybe not such a great platform here 485 00:25:42,760 --> 00:25:46,480 Speaker 1: in the United States than having our sort of upcoming 486 00:25:46,560 --> 00:25:50,320 Speaker 1: generations living their social life on TikTok. I take to 487 00:25:50,760 --> 00:25:53,760 Speaker 1: take take Twitter over that any day. And why is that? 488 00:25:54,400 --> 00:25:57,600 Speaker 1: Because I think if our dear Chinese friends are controlling 489 00:25:57,680 --> 00:26:00,600 Speaker 1: the information flow on TikTok, when they're that sort of 490 00:26:00,680 --> 00:26:04,399 Speaker 1: controlling the news flow, being able to intercept communications on 491 00:26:04,560 --> 00:26:07,959 Speaker 1: that in that sort of you know, much too too 492 00:26:08,040 --> 00:26:11,800 Speaker 1: much control in the hands of the Chinese government to 493 00:26:11,960 --> 00:26:14,359 Speaker 1: be Frank or Chinese intelligence, and he said, not a 494 00:26:14,440 --> 00:26:18,320 Speaker 1: good thing. All right, Well, appreciate you navigating waiting into 495 00:26:18,400 --> 00:26:22,280 Speaker 1: some tricky territory with ask Christopher Allberg, CEO of Recorded Future, 496 00:26:22,359 --> 00:26:25,280 Speaker 1: thank you for sharing your thoughts here. We'll have to 497 00:26:25,359 --> 00:26:28,680 Speaker 1: have you back soon. Coming up the line between traditional 498 00:26:28,760 --> 00:26:32,600 Speaker 1: finance and de centralized finance, getting blurb, We're going to 499 00:26:32,640 --> 00:26:35,760 Speaker 1: talk a little bit more about how next this is Bloomberg. 500 00:26:51,720 --> 00:26:54,920 Speaker 1: I think some people have avoided this asset class. It's 501 00:26:55,040 --> 00:26:58,680 Speaker 1: very risky. It's not appropriate for everyone. In fact, when 502 00:26:58,720 --> 00:27:01,119 Speaker 1: you buy cryptocurrency on so far we say this is 503 00:27:01,160 --> 00:27:04,040 Speaker 1: a risky asset, it's unproven and you could lose all 504 00:27:04,040 --> 00:27:06,840 Speaker 1: of your money. So um what prices down at this level, 505 00:27:06,920 --> 00:27:10,879 Speaker 1: we are seeing people take an opportunity to um, you know, 506 00:27:11,119 --> 00:27:13,600 Speaker 1: experiment with this type of investment and get to know 507 00:27:13,720 --> 00:27:18,439 Speaker 1: the asset better. So if it's Anthony Noto there earlier 508 00:27:18,480 --> 00:27:21,840 Speaker 1: on Bloomberg. As the worlds of traditional finance and defy 509 00:27:22,280 --> 00:27:25,920 Speaker 1: continue to collide, Bloomberg Shonnali Bossik here to explain more. 510 00:27:26,520 --> 00:27:28,840 Speaker 1: What is happening? Should I take it away? Emily, I 511 00:27:28,880 --> 00:27:31,040 Speaker 1: think it's really important to listen to what Anthony Noo 512 00:27:31,119 --> 00:27:32,800 Speaker 1: over it. So far I had to say about crypto 513 00:27:32,920 --> 00:27:36,879 Speaker 1: because there are a traditional financial technology firm that successfully 514 00:27:37,000 --> 00:27:40,320 Speaker 1: acquired a bank and that has helped it really rain 515 00:27:40,440 --> 00:27:43,600 Speaker 1: in a lot of deposit or money from clients, which 516 00:27:43,680 --> 00:27:45,800 Speaker 1: then can potentially be used to do things like by 517 00:27:45,840 --> 00:27:49,159 Speaker 1: a little crypto in a downturn or invest elsewhere. The 518 00:27:49,240 --> 00:27:53,440 Speaker 1: real reality is options here to borrow, to buy asset, 519 00:27:53,680 --> 00:27:56,760 Speaker 1: and to to deposit your money for safekeeping at uh 520 00:27:57,160 --> 00:27:59,000 Speaker 1: you know, so far a higher interest rate than many 521 00:27:59,080 --> 00:28:01,879 Speaker 1: other large banks. That is the choice that you're faced 522 00:28:01,960 --> 00:28:03,760 Speaker 1: with at the end of the day. So that rolls 523 00:28:03,840 --> 00:28:06,080 Speaker 1: us forward too soon after that interview we did with 524 00:28:06,119 --> 00:28:09,480 Speaker 1: the SOFI CEO to comments that were made by the 525 00:28:09,560 --> 00:28:13,040 Speaker 1: CEO of Binance, we know that Finance had considered making 526 00:28:13,119 --> 00:28:14,840 Speaker 1: up as much of a billion dollars or more worth 527 00:28:14,880 --> 00:28:18,280 Speaker 1: of acquisitions, and you have c Z now talking about 528 00:28:18,359 --> 00:28:20,600 Speaker 1: the idea of buying a bank. There are people who 529 00:28:20,640 --> 00:28:24,480 Speaker 1: hold certain types of local licenses, traditional banking, payment service providers, 530 00:28:24,520 --> 00:28:27,760 Speaker 1: even banks, and we're looking at those things, he says, 531 00:28:28,320 --> 00:28:30,159 Speaker 1: And we want to be the bridge between crypto and 532 00:28:30,240 --> 00:28:33,800 Speaker 1: the traditional financial world, he says, So what does that 533 00:28:33,920 --> 00:28:35,920 Speaker 1: really look like? At the end of the day, when 534 00:28:35,960 --> 00:28:39,400 Speaker 1: you think about, you know, Binance getting more into traditional finance, 535 00:28:39,840 --> 00:28:42,520 Speaker 1: can they do it successfully similar to how we've seen 536 00:28:42,560 --> 00:28:45,320 Speaker 1: FinTechs like Sophi do it. They did it by buying 537 00:28:45,360 --> 00:28:47,520 Speaker 1: a bank for less than a billion dollars and getting 538 00:28:47,520 --> 00:28:50,000 Speaker 1: that banking license. I want to show you here what 539 00:28:50,120 --> 00:28:53,200 Speaker 1: it looks like in terms of multiples though, because if 540 00:28:53,240 --> 00:28:54,840 Speaker 1: you look at what it means to be a bank 541 00:28:55,000 --> 00:28:57,760 Speaker 1: or buy a bank. Even coin Base, with that huge 542 00:28:57,880 --> 00:29:00,440 Speaker 1: draw down you've seen in the stock this year, you're 543 00:29:00,440 --> 00:29:02,960 Speaker 1: still seeing them trade at a higher price to earnings 544 00:29:03,200 --> 00:29:05,640 Speaker 1: than you are seeing the biggest banks of the United States, 545 00:29:05,800 --> 00:29:08,640 Speaker 1: both regional and large investment banks trade at that is, 546 00:29:08,680 --> 00:29:10,840 Speaker 1: between nine and eleven times earnings, and you're seeing coin 547 00:29:10,920 --> 00:29:13,480 Speaker 1: based trade at a higher multiple. And when you look 548 00:29:13,600 --> 00:29:16,720 Speaker 1: back again at what cz had said is that when 549 00:29:17,000 --> 00:29:21,480 Speaker 1: traditional crypto firms do pair with finance firms, you do 550 00:29:21,720 --> 00:29:25,480 Speaker 1: see the stock tend to jump of those finance firms. 551 00:29:25,560 --> 00:29:28,880 Speaker 1: And he says by partnering with those companies, maybe taking 552 00:29:28,920 --> 00:29:31,240 Speaker 1: a stake or buying out right, what you can get 553 00:29:31,280 --> 00:29:34,280 Speaker 1: potentially is a higher multiple both for finance and that 554 00:29:34,440 --> 00:29:37,040 Speaker 1: financial firm. So it will be interesting to see what 555 00:29:37,160 --> 00:29:41,320 Speaker 1: kind of deals come out of finance and others as 556 00:29:41,400 --> 00:29:44,040 Speaker 1: we move along, not just through partnership like we've seen 557 00:29:44,080 --> 00:29:46,400 Speaker 1: for the last year or so, but by pure money 558 00:29:46,520 --> 00:29:49,640 Speaker 1: put into traditional financial firms by firms that have gotten 559 00:29:49,760 --> 00:29:53,480 Speaker 1: so large in the cryptospased like finance. All right, Shnali, 560 00:29:53,760 --> 00:29:56,640 Speaker 1: so much more to come there, I know, Shnally boss, 561 00:29:56,840 --> 00:30:08,920 Speaker 1: thank you. Let's take a look now at the behind 562 00:30:09,040 --> 00:30:11,560 Speaker 1: the scenes of one of the world's most influential tech 563 00:30:11,640 --> 00:30:15,560 Speaker 1: companies in China and the world, and that is Ali Baba. 564 00:30:15,920 --> 00:30:17,760 Speaker 1: It's the topic of a new book from a former 565 00:30:17,800 --> 00:30:22,360 Speaker 1: Ali Baba executive called The Tao of Ali Baba. Inside 566 00:30:22,480 --> 00:30:24,960 Speaker 1: the Chinese digital Giant that is changing the world. So 567 00:30:25,560 --> 00:30:28,840 Speaker 1: how did Ali Baba take on the world and what's 568 00:30:28,840 --> 00:30:31,840 Speaker 1: it got coming? Next? Let's bring in author Brian Wong 569 00:30:31,960 --> 00:30:35,480 Speaker 1: for more, a former top Ali Baba executives. So, Brian, 570 00:30:35,560 --> 00:30:38,800 Speaker 1: you were the first American that worked at Ali Baba, 571 00:30:38,920 --> 00:30:42,720 Speaker 1: the fifty second employee and a special assistant to Jack Ma. 572 00:30:43,120 --> 00:30:46,800 Speaker 1: So you've seen some things. We should say. What do 573 00:30:46,880 --> 00:30:51,800 Speaker 1: you think is Ali Baba and Jack Ma's secret sauce? Well, 574 00:30:52,000 --> 00:30:54,440 Speaker 1: you know, Emily I, I wrote this book because I 575 00:30:54,520 --> 00:30:58,520 Speaker 1: really wanted to share what my understanding and perception was 576 00:30:58,600 --> 00:31:01,360 Speaker 1: from the nearly twe years I was with the company 577 00:31:01,440 --> 00:31:03,760 Speaker 1: about you know, the essence of sort of Jack Ma 578 00:31:03,960 --> 00:31:06,240 Speaker 1: and Ali Baba, And I think, you know, to put 579 00:31:06,280 --> 00:31:10,160 Speaker 1: it in very um basic terms is uh, Jack really 580 00:31:10,520 --> 00:31:13,760 Speaker 1: um was able to build a company around a very 581 00:31:13,840 --> 00:31:17,560 Speaker 1: deep purpose of solving the world's problems. He uh, he 582 00:31:17,720 --> 00:31:21,480 Speaker 1: created a culture that was very um, optimistic and positive, 583 00:31:21,520 --> 00:31:24,120 Speaker 1: and he was able to align an organization to all 584 00:31:24,240 --> 00:31:26,960 Speaker 1: focus on that that mission, but at the same time 585 00:31:27,040 --> 00:31:30,320 Speaker 1: give them the flexibility to adapt to the constantly changing 586 00:31:30,360 --> 00:31:33,480 Speaker 1: world in the industry that it's operating in order to 587 00:31:33,560 --> 00:31:37,480 Speaker 1: for to become successful. So I've seen the company recreate 588 00:31:37,560 --> 00:31:39,880 Speaker 1: itself over and over over these last twenty years, and 589 00:31:39,960 --> 00:31:41,840 Speaker 1: I think really at the essence of it was what 590 00:31:41,920 --> 00:31:44,360 Speaker 1: I called the Tao. But it's really this kind of um, 591 00:31:44,560 --> 00:31:48,880 Speaker 1: really strong, mission driven and purpose driven organization and culture 592 00:31:48,960 --> 00:31:52,360 Speaker 1: that Jack helped to create. So the question is, can 593 00:31:52,480 --> 00:31:56,400 Speaker 1: Ali Baba reinvent itself again? When the company tried to 594 00:31:56,520 --> 00:32:00,720 Speaker 1: globalize a few years back, it didn't quite work. Should 595 00:32:00,720 --> 00:32:04,520 Speaker 1: Ali Baba revive those ambitions now? And will it work 596 00:32:04,680 --> 00:32:09,600 Speaker 1: when there's others pushing for d globalization. Well, you know, 597 00:32:09,680 --> 00:32:12,600 Speaker 1: one of the amazing things about the company throughout its 598 00:32:12,720 --> 00:32:14,640 Speaker 1: history is how resilient it's been. You know, when it 599 00:32:14,760 --> 00:32:18,720 Speaker 1: was very small, it faced some existential crises. UM. Before COVID, 600 00:32:18,760 --> 00:32:20,760 Speaker 1: there was something called Stars and it was a very 601 00:32:20,840 --> 00:32:24,320 Speaker 1: small company, and the company actually mobilized itself without even 602 00:32:24,360 --> 00:32:26,880 Speaker 1: the direction of the leaders. But the staff came together 603 00:32:26,920 --> 00:32:29,560 Speaker 1: and figured out ways to keep the company operating in 604 00:32:29,680 --> 00:32:31,800 Speaker 1: its early years, but also to launch what we now 605 00:32:31,880 --> 00:32:34,680 Speaker 1: know as one of the major retail businesses called Talbao 606 00:32:35,160 --> 00:32:38,280 Speaker 1: during a lockdown period when you didn't have the conveniences 607 00:32:38,320 --> 00:32:42,280 Speaker 1: that we have today in terms of mobile connectivity in devices. 608 00:32:42,720 --> 00:32:45,080 Speaker 1: So I believe that the company, with its d n 609 00:32:45,160 --> 00:32:49,280 Speaker 1: A and the culture that's been really established in uh 610 00:32:49,840 --> 00:32:52,680 Speaker 1: you know, institutionalized with Ali Baba, it does have great 611 00:32:52,720 --> 00:32:57,680 Speaker 1: potential to continue to grow. But also, as you ask globalized, yes, 612 00:32:58,080 --> 00:33:01,360 Speaker 1: I think that UM, the world now really needs some 613 00:33:01,640 --> 00:33:05,360 Speaker 1: you know, positive forces UM that utilize you know, things 614 00:33:05,440 --> 00:33:08,440 Speaker 1: like technology to actually improve society and frankly, to solve 615 00:33:08,480 --> 00:33:10,680 Speaker 1: a lot of the problems that we're facing. UM, not 616 00:33:10,880 --> 00:33:13,120 Speaker 1: not just in the developed world, but in the emerging markets. 617 00:33:13,480 --> 00:33:17,840 Speaker 1: That said, China's COVID zero policies have had a myriad 618 00:33:18,080 --> 00:33:21,920 Speaker 1: of potentially negative impacts when you're talking about the supply 619 00:33:22,160 --> 00:33:26,680 Speaker 1: chain and you know, basic consumer demand and execution. Some 620 00:33:26,880 --> 00:33:31,400 Speaker 1: people say Ali Baba's glory days are over. What do 621 00:33:31,520 --> 00:33:35,240 Speaker 1: you think, sure, Well, look, I think the challenges of 622 00:33:35,480 --> 00:33:38,240 Speaker 1: zero COVID and the supply chain are more of a 623 00:33:38,360 --> 00:33:41,320 Speaker 1: larger national issue that needs to be resolved, and I 624 00:33:41,400 --> 00:33:43,960 Speaker 1: think the country is trying to work through that. You know, 625 00:33:44,200 --> 00:33:46,520 Speaker 1: we may agree or disagree with how they're handling it, 626 00:33:46,680 --> 00:33:48,880 Speaker 1: but really this is something that needs to take place 627 00:33:49,000 --> 00:33:51,560 Speaker 1: on a national level and then eventually, you know, the 628 00:33:51,640 --> 00:33:53,760 Speaker 1: companies can get back on their feet and do the 629 00:33:53,840 --> 00:33:56,240 Speaker 1: things they need to do. I do think, though, this 630 00:33:56,400 --> 00:33:59,800 Speaker 1: experience has really built up really strong capacity in terms 631 00:33:59,800 --> 00:34:02,480 Speaker 1: of with uncertainty, and if you look at how companies 632 00:34:02,560 --> 00:34:05,000 Speaker 1: like Ali Baba, you know, we're able to adapt to 633 00:34:05,880 --> 00:34:08,040 Speaker 1: the situation over the years. I think they're going to 634 00:34:08,120 --> 00:34:11,279 Speaker 1: come out stronger once this is all done. The question is, though, 635 00:34:11,320 --> 00:34:16,319 Speaker 1: how does big tech survive in President She's China. When 636 00:34:16,400 --> 00:34:20,000 Speaker 1: Beijing crackdown on the ant I p O, it basically 637 00:34:20,080 --> 00:34:25,520 Speaker 1: put a scarlet letter on Ali Baba and jack Ma himself, 638 00:34:26,239 --> 00:34:29,720 Speaker 1: what's the way out. Well, look, I think the anti 639 00:34:29,760 --> 00:34:32,840 Speaker 1: I p O situation was one of of of a 640 00:34:33,000 --> 00:34:36,520 Speaker 1: string of events that happened, and probably uh, you know, 641 00:34:36,640 --> 00:34:39,000 Speaker 1: it was so high profile because it was at the 642 00:34:39,080 --> 00:34:41,759 Speaker 1: start of this kind of change in policy. But also yes, 643 00:34:41,840 --> 00:34:44,680 Speaker 1: it was a very major decision and quite sudden. But 644 00:34:44,800 --> 00:34:47,600 Speaker 1: I do think that, you know, what this really indicates 645 00:34:47,680 --> 00:34:50,239 Speaker 1: is a shift in terms of government policy, one that 646 00:34:50,400 --> 00:34:53,200 Speaker 1: was previously kind of a late touch sort of governance 647 00:34:53,239 --> 00:34:55,759 Speaker 1: model where it allowed for room for innovation, to one 648 00:34:55,800 --> 00:34:58,520 Speaker 1: where it's more heavily regulated. But this is a global issue. 649 00:34:58,560 --> 00:35:00,719 Speaker 1: If you think about what we're deal with now in 650 00:35:00,760 --> 00:35:03,480 Speaker 1: the upcoming Supreme Court decisions in terms of anti trust 651 00:35:03,600 --> 00:35:06,840 Speaker 1: and privacy in these issues, this is America, in Europe 652 00:35:06,840 --> 00:35:09,000 Speaker 1: we're dealing with this, and also China, and this is 653 00:35:09,040 --> 00:35:11,960 Speaker 1: where big tech has become, you know, big and influential 654 00:35:12,480 --> 00:35:14,160 Speaker 1: um and governments are trying to figure out how to 655 00:35:14,280 --> 00:35:16,759 Speaker 1: how to manage this. So I do think that each 656 00:35:17,040 --> 00:35:20,360 Speaker 1: respective country and it's it's governments will figure out the 657 00:35:20,560 --> 00:35:23,120 Speaker 1: solution of the policy for that. But I do think 658 00:35:23,160 --> 00:35:26,120 Speaker 1: if you're if you're asking about opportunities down the road. UM, 659 00:35:26,280 --> 00:35:29,880 Speaker 1: there are definitely new opportunities in the market. UM, you know, 660 00:35:30,120 --> 00:35:33,480 Speaker 1: in higher quality sort of UM you know industries or 661 00:35:33,640 --> 00:35:37,279 Speaker 1: or or or you know areas. UM. Chinese soundary trying 662 00:35:37,280 --> 00:35:40,520 Speaker 1: to upgrade its industrial capacity and how companies can play 663 00:35:40,560 --> 00:35:42,360 Speaker 1: in those spaces is really going to be the secret 664 00:35:42,400 --> 00:35:45,160 Speaker 1: to their future growth and success if they can really 665 00:35:45,239 --> 00:35:48,400 Speaker 1: tap into that. Jack mass still hasn't been seen publicly 666 00:35:48,560 --> 00:35:51,680 Speaker 1: in some time. When is the last time you spoke 667 00:35:51,800 --> 00:35:54,520 Speaker 1: with him? Where do you think he is and how 668 00:35:54,680 --> 00:35:57,359 Speaker 1: is he doing well? You know, I've been in touch 669 00:35:57,440 --> 00:36:00,640 Speaker 1: with Jack, you know, throughout the last two years and 670 00:36:00,840 --> 00:36:03,200 Speaker 1: and and um in communication and you know he's been 671 00:36:03,320 --> 00:36:06,680 Speaker 1: he's been free to move around. He's been laying low obviously. UM. 672 00:36:06,760 --> 00:36:09,920 Speaker 1: You know he's traveled abroad. UM. You know people have 673 00:36:10,080 --> 00:36:12,560 Speaker 1: mentioned they've seen him in Europe and other places in Asia. 674 00:36:13,000 --> 00:36:16,239 Speaker 1: But I think he's really um Emily, he's gearing up 675 00:36:16,280 --> 00:36:19,840 Speaker 1: for his next act, which is really around philanthropy, education, 676 00:36:20,120 --> 00:36:24,560 Speaker 1: you know, helping uh those areas uh that really need assistance. UM. 677 00:36:24,640 --> 00:36:27,120 Speaker 1: And it's a passion of his is to really help 678 00:36:27,200 --> 00:36:29,840 Speaker 1: those who are kind of the more marginalized parts of 679 00:36:29,920 --> 00:36:33,040 Speaker 1: society to really get on their feet rural communities. Um 680 00:36:33,440 --> 00:36:35,279 Speaker 1: but also learning. You know, I think he was doing 681 00:36:35,280 --> 00:36:38,479 Speaker 1: a lot of learning tours, uh in his last two years. 682 00:36:38,719 --> 00:36:41,839 Speaker 1: UM So, so I think he's okay, but I think 683 00:36:41,880 --> 00:36:45,640 Speaker 1: that a lot of people have been wondering. And hopefully 684 00:36:45,680 --> 00:36:48,200 Speaker 1: at some point, you know, he will have his next 685 00:36:48,360 --> 00:36:52,120 Speaker 1: sort of uh, you know, big thing to come out 686 00:36:52,200 --> 00:36:54,040 Speaker 1: in terms of what he wants to do in philanthropy 687 00:36:54,080 --> 00:36:57,520 Speaker 1: and people will know. Brian Wong, former Ali Baba, executive 688 00:36:57,760 --> 00:37:00,840 Speaker 1: author of the Tao of Ali Baba Inside the Chinese 689 00:37:00,920 --> 00:37:05,240 Speaker 1: Digital Giant that's changing the world. Thanks so much Brian 690 00:37:05,680 --> 00:37:07,359 Speaker 1: for joining us. And that does it. For this edition 691 00:37:07,520 --> 00:37:11,200 Speaker 1: of Bloomberg Technology Thursday, we've got the CEO of Aurora, 692 00:37:11,719 --> 00:37:15,120 Speaker 1: Chris Urmson, talking about big changes and challenges ahead for 693 00:37:15,280 --> 00:37:18,920 Speaker 1: self driving technology. I'm Emily Sharing in San Francisco. This 694 00:37:19,080 --> 00:37:19,680 Speaker 1: is Bloomberg