1 00:00:02,520 --> 00:00:07,080 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,400 --> 00:00:11,200 Speaker 2: Right now, Darak kazer Shahi, the CEO of Uber, sitting 3 00:00:11,200 --> 00:00:13,800 Speaker 2: down with Tom Giles in conversation live on Bloomberg. 4 00:00:13,840 --> 00:00:14,280 Speaker 1: Let's listen. 5 00:00:14,280 --> 00:00:17,119 Speaker 2: It came out of Uber earlier this week. Thank you 6 00:00:17,239 --> 00:00:21,360 Speaker 2: Natalie Lung for breaking that story about some changes upper management. 7 00:00:21,720 --> 00:00:26,040 Speaker 2: You promoted Andrew McDonald to chief operating disser. You were 8 00:00:26,120 --> 00:00:30,280 Speaker 2: quick to say you're not going anywhere anytime soon. You 9 00:00:30,360 --> 00:00:32,680 Speaker 2: also said in your note something that was a little 10 00:00:32,680 --> 00:00:35,440 Speaker 2: bit of a little enigmatic to those of us on 11 00:00:35,520 --> 00:00:38,720 Speaker 2: the outside that with Max stepping up, I intend to 12 00:00:38,720 --> 00:00:43,080 Speaker 2: put focus on our six strategic shifts, spending more time 13 00:00:43,080 --> 00:00:43,960 Speaker 2: with our tech teams. 14 00:00:44,680 --> 00:00:46,720 Speaker 1: Tell us about what are the. 15 00:00:46,680 --> 00:00:49,240 Speaker 2: Six strategic shifts and why do you need to spend 16 00:00:49,280 --> 00:00:51,280 Speaker 2: more time with the tech teams. 17 00:00:51,320 --> 00:00:54,440 Speaker 1: Well, I think if I talked about all six would 18 00:00:54,480 --> 00:00:57,080 Speaker 1: be here the whole time. But for example, one that 19 00:00:57,400 --> 00:01:01,800 Speaker 1: we talk about for us is coming much more of 20 00:01:01,800 --> 00:01:05,400 Speaker 1: a company in terms of the lifetime relationship with our customers. 21 00:01:05,440 --> 00:01:07,959 Speaker 1: And one of the reasons why actually I wanted to 22 00:01:08,000 --> 00:01:12,120 Speaker 1: bring back in as president COO. He's been at Uber 23 00:01:12,360 --> 00:01:15,440 Speaker 1: longer than I have, for thirteen years. He's an incredible 24 00:01:16,800 --> 00:01:20,600 Speaker 1: veteran incredible operator. Is that the power we see in 25 00:01:20,640 --> 00:01:24,479 Speaker 1: the Uber platform continues to increase. Now what I mean 26 00:01:24,480 --> 00:01:26,480 Speaker 1: by that is we have a relationship with you on 27 00:01:26,520 --> 00:01:29,520 Speaker 1: the ride side, a lot of you using Uber to 28 00:01:29,560 --> 00:01:32,640 Speaker 1: come here, Thank you very much. And then are Uber 29 00:01:32,640 --> 00:01:35,399 Speaker 1: eats business is almost as large as an Uber rides 30 00:01:35,440 --> 00:01:39,880 Speaker 1: business and growing very very quickly and accelerating if anything, 31 00:01:40,560 --> 00:01:44,360 Speaker 1: and looking at a customer right now, the way the 32 00:01:44,400 --> 00:01:47,240 Speaker 1: business was built, we essentially had a mobility business that 33 00:01:48,120 --> 00:01:52,000 Speaker 1: mac ran delivery business that Pierre Dmitri ran did a 34 00:01:52,080 --> 00:01:55,560 Speaker 1: terrific job, and it was almost like two businesses interacting 35 00:01:55,560 --> 00:01:58,480 Speaker 1: with you as a customer. And now the focus for 36 00:01:58,640 --> 00:02:03,360 Speaker 1: us is really moving to lifetime interaction with a customer, 37 00:02:03,440 --> 00:02:05,480 Speaker 1: looking at you not just as an Uber customer Uber 38 00:02:05,520 --> 00:02:08,320 Speaker 1: Ease customer, but overall as an Uber customer, and how 39 00:02:08,320 --> 00:02:11,400 Speaker 1: do we continue to build that relationship. For example, the 40 00:02:11,440 --> 00:02:14,960 Speaker 1: membership program that we've got Uber one gives you no 41 00:02:15,120 --> 00:02:20,079 Speaker 1: delivery fees and discounts on rides. We've got thirty million members, 42 00:02:20,240 --> 00:02:25,760 Speaker 1: and people who use multiple products on Uber tend to have, 43 00:02:26,120 --> 00:02:28,320 Speaker 1: you know, transact with us much more, tend to have 44 00:02:28,680 --> 00:02:31,320 Speaker 1: much more satisfaction with the product. And that's one of 45 00:02:31,360 --> 00:02:35,240 Speaker 1: the reasons I wanted to get an experience operating executive 46 00:02:35,520 --> 00:02:38,960 Speaker 1: to really focus on the overall relationship with a customer 47 00:02:39,080 --> 00:02:41,119 Speaker 1: rather than separate p and ls. 48 00:02:41,120 --> 00:02:43,760 Speaker 2: I think you said one in five of your customers 49 00:02:43,800 --> 00:02:46,000 Speaker 2: are using both mobility and delivery. 50 00:02:46,480 --> 00:02:50,600 Speaker 1: It's about now. It's closer to a third now, So 51 00:02:50,639 --> 00:02:52,399 Speaker 1: it's increasing statilist, so it's moving. 52 00:02:52,160 --> 00:02:54,760 Speaker 2: In the right direction, right, What do you do to 53 00:02:54,800 --> 00:02:57,280 Speaker 2: get that number higher? And where do you want it 54 00:02:57,320 --> 00:02:59,280 Speaker 2: to be in say three years. 55 00:02:59,440 --> 00:03:01,720 Speaker 1: Well, listen, we want to get to fifty percent. And 56 00:03:01,760 --> 00:03:03,640 Speaker 1: once we get to fifty percent, I want to go 57 00:03:03,720 --> 00:03:07,840 Speaker 1: higher than that. And it's about the little interactions every day. 58 00:03:07,880 --> 00:03:12,680 Speaker 1: For example, when I got a ride to the office 59 00:03:12,919 --> 00:03:16,440 Speaker 1: the other day and along the way, I was offered 60 00:03:16,600 --> 00:03:20,560 Speaker 1: a coffee from Phills to be ready for me along 61 00:03:20,560 --> 00:03:23,200 Speaker 1: the way to the office, right, And so it's those 62 00:03:23,320 --> 00:03:27,040 Speaker 1: little interactions that are value add to the consumer. It's like, great, 63 00:03:27,080 --> 00:03:30,080 Speaker 1: of course I want my morning coffee and if it 64 00:03:30,120 --> 00:03:31,960 Speaker 1: can be ready for me right on the way to work, 65 00:03:32,160 --> 00:03:35,000 Speaker 1: that's awesome. That is also a way to kind of 66 00:03:35,040 --> 00:03:36,800 Speaker 1: get me to use Uber East. For example, if I 67 00:03:36,800 --> 00:03:38,680 Speaker 1: didn't use it now. I use EAS all the time. 68 00:03:39,080 --> 00:03:42,680 Speaker 1: But it's these little interactions powered by AI, power by personalization, 69 00:03:43,200 --> 00:03:45,160 Speaker 1: understand the context of where you're going and there's a 70 00:03:45,160 --> 00:03:48,800 Speaker 1: coffee shop close by to give you that opportunity. It's 71 00:03:48,880 --> 00:03:50,760 Speaker 1: those experiences that we have to build more and more, 72 00:03:51,000 --> 00:03:52,480 Speaker 1: which is one of the reasons now I'm going to 73 00:03:52,480 --> 00:03:54,480 Speaker 1: work more with the tech teams because you know they're 74 00:03:54,480 --> 00:03:56,120 Speaker 1: they're the ones building these experiences. 75 00:03:57,160 --> 00:03:58,760 Speaker 2: I want to spend a little bit of time talking 76 00:03:58,840 --> 00:04:02,280 Speaker 2: about your relationship with Autonomous Yeah. Sure, it's been a 77 00:04:02,640 --> 00:04:06,200 Speaker 2: up and down for Uber over the years, even preceding 78 00:04:06,280 --> 00:04:11,440 Speaker 2: your tenure. You have stakes, and a lot of AV 79 00:04:11,600 --> 00:04:15,160 Speaker 2: companies talked recently about wanting to monetize some of those. 80 00:04:15,400 --> 00:04:17,920 Speaker 2: Can you tell us a little bit or your stakes 81 00:04:17,920 --> 00:04:21,120 Speaker 2: and your equity stakes? Generally you didn't specify av's but 82 00:04:21,200 --> 00:04:24,800 Speaker 2: I am curious. Have you identified where you want to 83 00:04:24,960 --> 00:04:27,440 Speaker 2: focus where? What do you want to free the cash up? 84 00:04:27,520 --> 00:04:31,719 Speaker 2: Is it about developing deeper relationships with a select number 85 00:04:31,720 --> 00:04:32,880 Speaker 2: of AV partners. 86 00:04:33,320 --> 00:04:37,880 Speaker 1: What's the strategy? So we want to essentially support the 87 00:04:37,960 --> 00:04:43,680 Speaker 1: AV ecosystem and continue to help that ecosystem develop and 88 00:04:43,680 --> 00:04:47,479 Speaker 1: then av's penetrate into the marketplace. Av we think represents 89 00:04:47,880 --> 00:04:51,960 Speaker 1: a safer way of transportation. Ultimately, we think it'll expand 90 00:04:51,960 --> 00:04:55,640 Speaker 1: the marketplace as it makes kind of safe transportation and 91 00:04:55,680 --> 00:04:58,040 Speaker 1: cities available to everybody. So we're big fans of AV 92 00:04:58,680 --> 00:05:02,160 Speaker 1: and generally we're working with multiple partners in the ecosystem 93 00:05:02,160 --> 00:05:08,239 Speaker 1: waymore for example, in Austin and Atlanta coming up wave AVRI. 94 00:05:08,480 --> 00:05:10,400 Speaker 1: There are probably eighteen partnerships that we have in the 95 00:05:10,440 --> 00:05:13,400 Speaker 1: AV ecosystem, and we want to help these players develop 96 00:05:14,880 --> 00:05:18,240 Speaker 1: by investing in them in some cases, but really by 97 00:05:18,320 --> 00:05:21,720 Speaker 1: working with them to bring their product to market. These 98 00:05:21,720 --> 00:05:26,120 Speaker 1: are technologies that are unbelievably promising, but they've taken billions 99 00:05:26,120 --> 00:05:29,560 Speaker 1: of dollars to develop and you know, ten plus years, 100 00:05:30,640 --> 00:05:33,440 Speaker 1: and it's one of those overnight successes that's kind of 101 00:05:33,440 --> 00:05:36,760 Speaker 1: taken twenty years of development, but it's finally ready to 102 00:05:37,160 --> 00:05:41,280 Speaker 1: hit market, and we want to help the ecosystem get there. Separately, 103 00:05:41,880 --> 00:05:46,080 Speaker 1: we have large stakes in many companies, you know, well 104 00:05:46,080 --> 00:05:49,719 Speaker 1: over five billion dollars that we think we can take 105 00:05:49,760 --> 00:05:53,200 Speaker 1: some of those steaks and essentially recycle them into additional 106 00:05:53,200 --> 00:05:56,600 Speaker 1: investments in the AV ecosystem. So over a period of 107 00:05:56,680 --> 00:05:58,680 Speaker 1: time we'll get it right, We've got a ton of 108 00:05:58,720 --> 00:06:01,479 Speaker 1: free cash fow of the companies one way or the other. 109 00:06:01,760 --> 00:06:04,160 Speaker 1: You know, the goal is to build up the av 110 00:06:04,400 --> 00:06:05,719 Speaker 1: ecosystem around our network. 111 00:06:05,720 --> 00:06:08,080 Speaker 2: Build up the av ecosystem. You guys have the UI 112 00:06:08,279 --> 00:06:11,000 Speaker 2: for example, that works really well. You have that customer 113 00:06:11,040 --> 00:06:14,200 Speaker 2: relationship that maybe some of them don't. So is the 114 00:06:14,279 --> 00:06:16,720 Speaker 2: idea you really want to kind of concentrate on a 115 00:06:16,760 --> 00:06:21,680 Speaker 2: fewer number or is it just keep the broad brush 116 00:06:22,200 --> 00:06:23,920 Speaker 2: broad number of av partners. 117 00:06:23,960 --> 00:06:25,640 Speaker 1: I mean, obviously we want to make sure that we 118 00:06:25,720 --> 00:06:28,240 Speaker 1: partner with the right players, and I'd say safeties is 119 00:06:28,279 --> 00:06:31,039 Speaker 1: the most important area. We want to make sure that 120 00:06:31,080 --> 00:06:33,640 Speaker 1: they pass with flying colors through our safety case, which 121 00:06:33,640 --> 00:06:37,000 Speaker 1: is actually pretty tough. But to the extent that the 122 00:06:37,040 --> 00:06:40,200 Speaker 1: tech is there, the team is there, safety is part 123 00:06:40,240 --> 00:06:41,760 Speaker 1: of the culture we want to work with them. So 124 00:06:41,839 --> 00:06:44,880 Speaker 1: there's a right now there are a number of promising 125 00:06:44,960 --> 00:06:49,239 Speaker 1: partners and you'll probably see the number of partners increase 126 00:06:49,279 --> 00:06:49,600 Speaker 1: for us. 127 00:06:49,839 --> 00:06:55,120 Speaker 2: Okay, you mentioned your relationship with Waimo. We had Sundar 128 00:06:55,200 --> 00:06:58,600 Speaker 2: last night. Asked him about when when he's going to 129 00:06:58,640 --> 00:07:01,240 Speaker 2: be able to take away from Mountain View all the 130 00:07:01,279 --> 00:07:03,719 Speaker 2: way up to San Francisco, We're not quite there yet, 131 00:07:03,760 --> 00:07:09,560 Speaker 2: but there are genuine concerns about the ways that you 132 00:07:09,600 --> 00:07:13,040 Speaker 2: are both a partner and a competitor to Weaimo. What 133 00:07:13,200 --> 00:07:16,360 Speaker 2: is the conversation like internally and with your board over 134 00:07:16,840 --> 00:07:22,120 Speaker 2: how you continue to deepen that what is a valuable 135 00:07:22,120 --> 00:07:24,600 Speaker 2: relationship as far as I can tell, but also keep 136 00:07:24,680 --> 00:07:28,560 Speaker 2: it from becoming something that starts to undermine your business. 137 00:07:28,680 --> 00:07:32,480 Speaker 1: Well, the relationship with Weimo. I think the press and 138 00:07:32,520 --> 00:07:35,080 Speaker 1: to some extent investors love to create drama because well 139 00:07:35,080 --> 00:07:39,440 Speaker 1: the hell. But you know, the type of relationship that 140 00:07:39,480 --> 00:07:42,400 Speaker 1: we have with Weaimo is very similar, for example, to 141 00:07:42,520 --> 00:07:45,720 Speaker 1: the type of relationship we'll have with a Starbucks coffee. 142 00:07:45,800 --> 00:07:48,960 Speaker 1: They're a great partner with Uber Eats, and at the 143 00:07:48,960 --> 00:07:52,120 Speaker 1: same time, Starbucks wants to have its own app and 144 00:07:52,200 --> 00:07:55,280 Speaker 1: wants to have interactions directly with the customer. And it 145 00:07:55,320 --> 00:07:58,400 Speaker 1: isn't an either or it's an ant. So we offer 146 00:07:58,440 --> 00:08:01,520 Speaker 1: Starbucks and Eats and they compete with us in some 147 00:08:01,680 --> 00:08:05,280 Speaker 1: ways with a Starbucks app and with their loyalty program, 148 00:08:05,520 --> 00:08:08,000 Speaker 1: and that's fine. That's the way business goes. Same thing 149 00:08:08,040 --> 00:08:10,680 Speaker 1: with Dominos Dominoes three years ago, was it going to 150 00:08:10,760 --> 00:08:12,960 Speaker 1: work with the platforms now works with the platforms and 151 00:08:13,000 --> 00:08:16,600 Speaker 1: in the same way. In San Francisco, yes, we compete 152 00:08:16,640 --> 00:08:21,280 Speaker 1: with Weamo to get rides here, but in Austin Atlanta, 153 00:08:22,040 --> 00:08:24,840 Speaker 1: we absolutely work with them. And what we're seeing in 154 00:08:24,880 --> 00:08:28,800 Speaker 1: Austin is, frankly, the launch is going better than we expected. 155 00:08:29,120 --> 00:08:32,280 Speaker 1: Number one is safety and obviously Wemo's the best at it. 156 00:08:32,640 --> 00:08:35,680 Speaker 1: And number two is customer love. And our customers are 157 00:08:35,840 --> 00:08:39,920 Speaker 1: loving kind of the delight and surprise of getting Awamo 158 00:08:40,080 --> 00:08:42,520 Speaker 1: and they're coming back. So I do think that this 159 00:08:42,720 --> 00:08:45,040 Speaker 1: is going to be It's not either or we're going 160 00:08:45,080 --> 00:08:48,240 Speaker 1: to be working together. Weimo is developing its own channels 161 00:08:48,440 --> 00:08:50,240 Speaker 1: and at the same time we can work together very 162 00:08:50,240 --> 00:08:51,959 Speaker 1: constructively as. 163 00:08:51,800 --> 00:08:55,400 Speaker 2: We head toward an increasingly a the future. I know 164 00:08:55,440 --> 00:08:57,600 Speaker 2: you've been asked about this before, but what are some 165 00:08:57,679 --> 00:09:00,720 Speaker 2: of the new ways that you're seeking to overcome that 166 00:09:00,880 --> 00:09:05,600 Speaker 2: challenge of reassuring drivers who are still an incredibly important 167 00:09:05,600 --> 00:09:08,559 Speaker 2: part of your ecosystem very much You have their backs, 168 00:09:08,800 --> 00:09:11,040 Speaker 2: but we also love these way moods that have no 169 00:09:11,160 --> 00:09:11,719 Speaker 2: driver in. 170 00:09:11,679 --> 00:09:15,200 Speaker 1: Them very much. So. So one is growth helps a lot, right, 171 00:09:15,240 --> 00:09:18,560 Speaker 1: So our business is growing almost twenty percent a year, 172 00:09:19,600 --> 00:09:22,200 Speaker 1: and on average we're going to need more drivers on 173 00:09:22,240 --> 00:09:25,000 Speaker 1: the platform for the next couple of years, and I 174 00:09:25,000 --> 00:09:27,560 Speaker 1: see that continuing for some period of time. So I 175 00:09:27,559 --> 00:09:29,880 Speaker 1: think drivers generally on our platform are going to be 176 00:09:29,920 --> 00:09:31,480 Speaker 1: more busy, are going to have more to do, and 177 00:09:31,480 --> 00:09:33,520 Speaker 1: the number of drivers on our platform and caurers on 178 00:09:33,559 --> 00:09:36,880 Speaker 1: our platform is going to grow. That's one. The second though, 179 00:09:37,000 --> 00:09:42,400 Speaker 1: is we're putting significant efforts in creating more work and 180 00:09:42,520 --> 00:09:46,240 Speaker 1: earnings opportunities for drivers and couriers. Right we started with 181 00:09:46,320 --> 00:09:49,640 Speaker 1: driving who we might to delivery. Now you can actually shop, 182 00:09:49,640 --> 00:09:52,720 Speaker 1: and there's a subsegment of careers et cetera who you 183 00:09:52,720 --> 00:09:58,679 Speaker 1: know will love their local Walmart, for example, or Albertson's 184 00:09:59,360 --> 00:10:02,400 Speaker 1: and you know shopping those stores or for Walmart, we 185 00:10:02,480 --> 00:10:07,720 Speaker 1: deliver those packages. And now we're actually going further where 186 00:10:07,880 --> 00:10:11,440 Speaker 1: we're developing now what we call Uber AI solutions, where 187 00:10:11,559 --> 00:10:20,000 Speaker 1: drivers are actually now labeling maps, translating language, looking at 188 00:10:20,000 --> 00:10:23,720 Speaker 1: AI answers, and grading AI answers. So, you know, one 189 00:10:23,720 --> 00:10:26,440 Speaker 1: way to look at Uber is that we are essentially 190 00:10:26,640 --> 00:10:31,400 Speaker 1: a transportation platform will help you go anywhere, get anything. 191 00:10:32,000 --> 00:10:34,400 Speaker 1: Another way to look at Uber is that we are 192 00:10:34,440 --> 00:10:38,840 Speaker 1: the largest on demand work platform on Earth and the 193 00:10:38,960 --> 00:10:42,280 Speaker 1: first use case for US is actually transportation, and now 194 00:10:42,280 --> 00:10:46,680 Speaker 1: we're expanding use cases into other use cases and knowledge 195 00:10:46,720 --> 00:10:49,000 Speaker 1: work is one of them. So I think as long 196 00:10:49,040 --> 00:10:53,480 Speaker 1: as we grow, as long as we are honest with 197 00:10:53,559 --> 00:10:56,480 Speaker 1: our drivers and couriers in terms of our expectations and 198 00:10:56,920 --> 00:11:00,000 Speaker 1: now expand the number of opportunities to them, I think 199 00:11:00,040 --> 00:11:00,840 Speaker 1: will be more than fine. 200 00:11:01,040 --> 00:11:04,160 Speaker 2: You're you're actually getting your drivers, You're encouraging your drivers 201 00:11:04,200 --> 00:11:07,319 Speaker 2: to help the AI and make it smarter. The AI 202 00:11:07,440 --> 00:11:09,320 Speaker 2: that's gonna it's it's going to be put. 203 00:11:09,440 --> 00:11:11,120 Speaker 1: Yeah, it's going to be a part of our life 204 00:11:11,160 --> 00:11:14,040 Speaker 1: going forward. And this is it's good work. And uh, 205 00:11:14,480 --> 00:11:16,600 Speaker 1: you know, certainly our drivers are qualified to do it. 206 00:11:16,760 --> 00:11:19,240 Speaker 2: How much of how much of their time do you 207 00:11:19,440 --> 00:11:21,960 Speaker 2: find their spending doing I assume this is like in 208 00:11:22,000 --> 00:11:24,080 Speaker 2: the course of a of a day's drive. 209 00:11:24,400 --> 00:11:28,960 Speaker 1: It's very it's very small compared to the overall workload. Right, 210 00:11:28,960 --> 00:11:32,600 Speaker 1: we're doing over thirty three million trips a day now 211 00:11:32,679 --> 00:11:35,480 Speaker 1: in terms of our main line segments. But it's a 212 00:11:35,679 --> 00:11:39,200 Speaker 1: Uber AI Solutions is a very very promising segment growth 213 00:11:39,240 --> 00:11:41,800 Speaker 1: segment for US, and I think in five ten years 214 00:11:41,800 --> 00:11:45,160 Speaker 1: it will be a significant part of the overall opportunities 215 00:11:45,160 --> 00:11:47,800 Speaker 1: that we're giving to our drivers and careers. 216 00:11:48,840 --> 00:11:52,280 Speaker 2: I want to talk about Bill Ackman sure his relationship 217 00:11:52,280 --> 00:11:56,720 Speaker 2: with Uber. It's nice to have a an activist who's 218 00:11:57,240 --> 00:12:01,280 Speaker 2: friendly as far as I can tell us about the 219 00:12:01,320 --> 00:12:04,400 Speaker 2: ways that you are interacting with Bill and how he 220 00:12:04,520 --> 00:12:06,920 Speaker 2: is encouraging Uber to be better. 221 00:12:07,200 --> 00:12:11,080 Speaker 1: Yeah. So Bill is one of the legendary investors out there, 222 00:12:11,640 --> 00:12:16,200 Speaker 1: and so I was very happy, Like I'm a fan 223 00:12:16,280 --> 00:12:20,680 Speaker 1: of his kind of investing fundamentals, long term, making big bets. 224 00:12:20,880 --> 00:12:23,000 Speaker 1: So I've always admired Bill. So when we found out 225 00:12:23,000 --> 00:12:25,720 Speaker 1: that he was a shareholder, is like right on. And 226 00:12:25,760 --> 00:12:28,520 Speaker 1: the cool thing about Bill as a shareholder is he 227 00:12:28,640 --> 00:12:33,520 Speaker 1: uses the product. He is intensely interested in the product's 228 00:12:33,600 --> 00:12:36,400 Speaker 1: and he's talking to his drivers, so he gives me 229 00:12:36,400 --> 00:12:38,480 Speaker 1: a lot of feedback and actually a couple of features. 230 00:12:38,840 --> 00:12:41,000 Speaker 1: You know, for example, he was leaving dinner one night 231 00:12:41,040 --> 00:12:43,680 Speaker 1: and he wanted to order ubers for his kids and 232 00:12:43,720 --> 00:12:48,480 Speaker 1: his parents, and for some technical reasons, we couldn't do 233 00:12:48,640 --> 00:12:51,360 Speaker 1: that at the time, and we built that feature based 234 00:12:51,400 --> 00:12:53,000 Speaker 1: on that idea, and it's proven to be a really 235 00:12:53,000 --> 00:12:55,560 Speaker 1: cool feature. So you want the kind of long term 236 00:12:55,600 --> 00:12:59,440 Speaker 1: investor that Bill is. But what's cool about it is 237 00:12:59,480 --> 00:13:03,240 Speaker 1: that he's actually, you know, he's brilliant, but he uses 238 00:13:03,280 --> 00:13:05,320 Speaker 1: a product and he uses in a constructive way. And 239 00:13:05,360 --> 00:13:06,840 Speaker 1: we've got a great relationship. 240 00:13:08,000 --> 00:13:14,600 Speaker 2: Speaking of relationships with folks on the East coast, you 241 00:13:14,600 --> 00:13:18,760 Speaker 2: you know, Silicon Valley has this really interesting relationship with 242 00:13:18,800 --> 00:13:22,440 Speaker 2: the Trump administration right now, this need to engage, but 243 00:13:22,559 --> 00:13:26,520 Speaker 2: also recognizing that there are policies that the Trump administration, 244 00:13:26,640 --> 00:13:32,680 Speaker 2: like any administration, is pursuing, that may not work so 245 00:13:32,800 --> 00:13:38,440 Speaker 2: well for the tech industry. No taxes on tips something 246 00:13:38,480 --> 00:13:41,760 Speaker 2: that's part of the legislation, something that you would say 247 00:13:41,800 --> 00:13:46,920 Speaker 2: you support. Can you talk about kind of the dialogue 248 00:13:46,920 --> 00:13:50,280 Speaker 2: that you have with the president and what kind of 249 00:13:50,360 --> 00:13:53,360 Speaker 2: feedback are you giving him on that, what kind of 250 00:13:53,360 --> 00:13:56,520 Speaker 2: feedback are you giving him on the tax bill more generally? 251 00:13:57,160 --> 00:14:01,840 Speaker 1: Yeah, so we want is taxes on tips is we 252 00:14:01,920 --> 00:14:05,679 Speaker 1: think a terrific piece of legislation. It will, if passed, 253 00:14:06,320 --> 00:14:09,400 Speaker 1: save our drivers and caurers hundreds of millions of dollars 254 00:14:09,440 --> 00:14:12,400 Speaker 1: in taxes that they would have otherwise paid. So we 255 00:14:12,440 --> 00:14:13,640 Speaker 1: are big supporters of that. 256 00:14:13,720 --> 00:14:16,160 Speaker 2: And I've put a specific number on that over a 257 00:14:16,200 --> 00:14:17,680 Speaker 2: time period, it's. 258 00:14:17,559 --> 00:14:19,440 Speaker 1: In the hundreds of millions. I don't know the specifics, 259 00:14:19,480 --> 00:14:24,359 Speaker 1: but it's significant, and we think it's a appropriately targeted, 260 00:14:24,800 --> 00:14:28,120 Speaker 1: you know, to a segment of the population that we 261 00:14:28,160 --> 00:14:31,640 Speaker 1: all want succeed. And I've been very supportive of that 262 00:14:31,720 --> 00:14:35,840 Speaker 1: directly with the President and our folks, with the staff, 263 00:14:36,200 --> 00:14:39,960 Speaker 1: and I see generally we engage with every administration out there, 264 00:14:40,000 --> 00:14:42,680 Speaker 1: both in on a federal level and on a state level. 265 00:14:43,560 --> 00:14:48,600 Speaker 1: We certainly engage with the Trump administration, and what I 266 00:14:48,840 --> 00:14:50,840 Speaker 1: like in terms of what I'm seeing is that it 267 00:14:51,000 --> 00:14:55,840 Speaker 1: is a pro growth, pro business in terms of kind 268 00:14:55,880 --> 00:14:59,440 Speaker 1: of common business interest administration, and we'll continue to engage 269 00:14:59,440 --> 00:15:00,840 Speaker 1: with them constructtively going forward. 270 00:15:00,960 --> 00:15:04,200 Speaker 2: There's a lot of rhetoric around immigration and a lot 271 00:15:04,240 --> 00:15:09,760 Speaker 2: of policies around immigration that have a mixed effect. What's 272 00:15:09,800 --> 00:15:13,120 Speaker 2: your message to the Trump administration when it comes to 273 00:15:14,200 --> 00:15:18,680 Speaker 2: limitations on immigration. You rely on immigrations, immigrants for build drivers, 274 00:15:19,080 --> 00:15:21,400 Speaker 2: for your engineers, across the board. 275 00:15:21,880 --> 00:15:24,840 Speaker 1: Yeah. So I think I'm an immigrant. You know, I 276 00:15:24,880 --> 00:15:27,040 Speaker 1: came here when I was nine years old. So I 277 00:15:27,120 --> 00:15:31,320 Speaker 1: am absolutely pro immigration generally for the US. But I 278 00:15:31,320 --> 00:15:35,040 Speaker 1: think there's no question that we should secure borders, and 279 00:15:35,320 --> 00:15:38,600 Speaker 1: so I think from that standpoint, we're very supportive our 280 00:15:38,720 --> 00:15:43,760 Speaker 1: drivers and couriers have been quite supportive of President Trump 281 00:15:43,760 --> 00:15:47,880 Speaker 1: as well for similar reasons. And I think with immigration, 282 00:15:48,000 --> 00:15:49,600 Speaker 1: you know, there is a dialogue for us to be had, 283 00:15:49,600 --> 00:15:52,720 Speaker 1: which is what is the right level of immigration in 284 00:15:52,760 --> 00:15:56,400 Speaker 1: this country, How you know, we select, how we qualify, 285 00:15:56,400 --> 00:15:59,680 Speaker 1: et cetera. That I'm hoping that we get to have 286 00:15:59,800 --> 00:16:02,840 Speaker 1: that dialogue as a country. And I think that dialogue 287 00:16:02,880 --> 00:16:05,200 Speaker 1: suffers from kind of the two sides shooting at each other. 288 00:16:05,800 --> 00:16:08,800 Speaker 1: But I think that if we can just come together 289 00:16:09,480 --> 00:16:13,320 Speaker 1: and recognize that this is a largely immigrant nation and 290 00:16:13,480 --> 00:16:17,480 Speaker 1: immigration done right can benefit society. Done wrong, it can 291 00:16:17,480 --> 00:16:19,600 Speaker 1: go the other way. So let's just focus on doing 292 00:16:19,600 --> 00:16:20,440 Speaker 1: it right well. 293 00:16:20,480 --> 00:16:24,440 Speaker 2: For example, and it's not necessarily that we're building a 294 00:16:24,600 --> 00:16:28,160 Speaker 2: wall on the northern border, but you, on your earnings 295 00:16:28,240 --> 00:16:31,720 Speaker 2: called talked about the ways that some of this sort 296 00:16:31,720 --> 00:16:35,920 Speaker 2: of unwillingness to come to the United States because of 297 00:16:36,280 --> 00:16:39,760 Speaker 2: some of its political stances toward foreign countries starting to 298 00:16:39,800 --> 00:16:40,720 Speaker 2: affect your business. 299 00:16:41,400 --> 00:16:48,200 Speaker 1: We've definitely seen Canadian immigration into the travel to the 300 00:16:48,320 --> 00:16:52,120 Speaker 1: US come down from historical levels. The good news for 301 00:16:52,240 --> 00:16:55,280 Speaker 1: Uber is that we're a global company, so to the 302 00:16:55,320 --> 00:16:58,480 Speaker 1: extent that Canadians are traveling to Europe. They use Uber 303 00:16:58,480 --> 00:17:00,440 Speaker 1: in Canada and they'll be able to use Uber in 304 00:17:00,440 --> 00:17:03,240 Speaker 1: Europe as well. So for US, the effect on the 305 00:17:03,240 --> 00:17:06,800 Speaker 1: business is changing business mix. Okay, But as long as 306 00:17:06,800 --> 00:17:10,240 Speaker 1: people travel and the global economies are doing well, which 307 00:17:10,240 --> 00:17:14,080 Speaker 1: they are, we're going to interact with consumers one way 308 00:17:14,119 --> 00:17:14,440 Speaker 1: or the other. 309 00:17:14,520 --> 00:17:17,800 Speaker 2: Have you seen any shifts since the last weight in 310 00:17:17,880 --> 00:17:18,600 Speaker 2: on this topic? 311 00:17:18,680 --> 00:17:21,800 Speaker 1: The biggest one is a Canadian shift and that has 312 00:17:21,840 --> 00:17:27,240 Speaker 1: there was a i say initial significant effect and we're 313 00:17:27,240 --> 00:17:29,280 Speaker 1: seeing some of that continue, not all of it continue. 314 00:17:29,640 --> 00:17:33,600 Speaker 2: You talked about the consumer sentiment holding up. What have 315 00:17:33,680 --> 00:17:37,520 Speaker 2: you seen since you last talked to the public about that. 316 00:17:37,720 --> 00:17:41,640 Speaker 1: Well, I'm not going to update obviously we're in the 317 00:17:41,680 --> 00:17:45,639 Speaker 1: middle of a quarter. But generally we have seen for 318 00:17:45,720 --> 00:17:48,920 Speaker 1: the past two years and that has continued until last quarter. 319 00:17:49,200 --> 00:17:53,639 Speaker 1: The consumer remains strong. We're not seeing any effects in 320 00:17:53,720 --> 00:17:56,439 Speaker 1: terms of, you know, lack of confidence, et cetera. We 321 00:17:56,520 --> 00:17:59,920 Speaker 1: look to see if consumers are trading down first am, 322 00:18:00,040 --> 00:18:03,200 Speaker 1: all the kinds restaurants that they're eating at, or are 323 00:18:03,520 --> 00:18:06,520 Speaker 1: reducing the size of let's say, the shopping baskets. We 324 00:18:06,560 --> 00:18:10,119 Speaker 1: don't see any signal whatsoever. The US consumer and generally 325 00:18:10,160 --> 00:18:15,360 Speaker 1: the global consumer has remained resilient, and obviously I'm hoping 326 00:18:15,400 --> 00:18:15,880 Speaker 1: that continuing. 327 00:18:16,640 --> 00:18:18,560 Speaker 2: I want to take just a couple of seconds before 328 00:18:18,680 --> 00:18:20,840 Speaker 2: I get kicked you get and I get kicked off, I. 329 00:18:20,840 --> 00:18:22,080 Speaker 1: Get kicked off. I think you're staying. 330 00:18:23,560 --> 00:18:29,000 Speaker 2: I understand that you are considering stable coin as a 331 00:18:29,119 --> 00:18:31,080 Speaker 2: vehicle or uber. 332 00:18:31,480 --> 00:18:32,600 Speaker 1: Talk about where. 333 00:18:32,400 --> 00:18:35,200 Speaker 2: Your considerations are and how that might benefit your business. 334 00:18:35,320 --> 00:18:37,560 Speaker 1: Yeah, we're still in the study phase, I say, but 335 00:18:37,640 --> 00:18:40,639 Speaker 1: I think stable coin is one of the for me, 336 00:18:40,960 --> 00:18:45,720 Speaker 1: more interesting instantiations of crypto that has a practical benefit 337 00:18:45,760 --> 00:18:48,280 Speaker 1: other than crypto's a store value. You know, obviously you 338 00:18:48,280 --> 00:18:51,679 Speaker 1: can have your opinions on bitcoin, but it's a proven commodity, 339 00:18:51,720 --> 00:18:54,920 Speaker 1: will and you know, people have different opinions on where 340 00:18:54,920 --> 00:18:57,560 Speaker 1: it's going. But I do think that stable coin is 341 00:18:57,640 --> 00:19:01,320 Speaker 1: quite promising, especially for global companies that are moving money 342 00:19:01,320 --> 00:19:06,400 Speaker 1: around globally, to create a mechanism for us to essentially 343 00:19:06,400 --> 00:19:10,080 Speaker 1: reduce costs in terms of moving money internationally. So that's 344 00:19:10,080 --> 00:19:12,120 Speaker 1: super interesting to us and we're definitely going to take a. 345 00:19:12,040 --> 00:19:16,159 Speaker 2: Look taking a look at it closely. Dara, thank you 346 00:19:16,200 --> 00:19:18,400 Speaker 2: so much for joining us, Thank you for having tech 347 00:19:18,760 --> 00:19:20,520 Speaker 2: is great to have you here. Please, thank you for 348 00:19:20,560 --> 00:19:21,560 Speaker 2: giving me a round the block. 349 00:19:24,359 --> 00:19:28,240 Speaker 1: That was Bloomberg Senior Executive editor for Global Technology Tom Giles, 350 00:19:28,240 --> 00:19:30,920 Speaker 1: sitting down with the CEO of Uber, Dara Kosher shahe 351 00:19:30,920 --> 00:19:33,760 Speaker 1: at the Bloomberg Tech Summit out in San Francisco. Seen 352 00:19:33,800 --> 00:19:35,880 Speaker 1: and heard live here on Bloomberg TV and radio.