1 00:00:00,000 --> 00:00:03,360 Speaker 1: Another big story, of course, that we're watching is Uber 2 00:00:04,360 --> 00:00:08,080 Speaker 1: earnings out the stock, lowesst and disappointment on the street. 3 00:00:08,119 --> 00:00:12,280 Speaker 1: With that in mind, we welcome our Bloomberg radio and 4 00:00:12,320 --> 00:00:16,800 Speaker 1: television audiences worldwide joining us now. The CEO of Uber, 5 00:00:17,120 --> 00:00:21,079 Speaker 1: Dara Koshashahi and Bloomberg's Emily chang with me on set 6 00:00:21,079 --> 00:00:21,720 Speaker 1: in San Francisco. 7 00:00:21,760 --> 00:00:23,959 Speaker 2: Emily, thank you, and Dara, thank you so much for 8 00:00:24,079 --> 00:00:25,959 Speaker 2: joining us. It's good to have you back. Look, I 9 00:00:26,000 --> 00:00:29,479 Speaker 2: think investors are reacting to a bit of a revenue miss, 10 00:00:29,520 --> 00:00:33,760 Speaker 2: but your first gap profit reported ever. Talk to us 11 00:00:33,760 --> 00:00:35,760 Speaker 2: a little bit about the discipline here and what kind 12 00:00:35,760 --> 00:00:38,320 Speaker 2: of choices you had to make to make this happen 13 00:00:38,360 --> 00:00:39,400 Speaker 2: in this macro environment. 14 00:00:39,600 --> 00:00:42,239 Speaker 3: Yeah. Absolutely, we're very excited about this. 15 00:00:42,479 --> 00:00:48,080 Speaker 4: It's a seminal moment for Uber to deliver gap operating profits, 16 00:00:48,640 --> 00:00:52,080 Speaker 4: free cash role of over a billion dollars just in 17 00:00:52,240 --> 00:00:55,320 Speaker 4: the quarter, along with a really strong, strong top line. 18 00:00:55,360 --> 00:00:57,240 Speaker 4: You look at a gross booking straw that was thirty 19 00:00:57,600 --> 00:01:02,440 Speaker 4: thirty three point six billion dollars, up eighteen percent on 20 00:01:02,480 --> 00:01:05,600 Speaker 4: a constant currency basis. So I think the results, both 21 00:01:05,600 --> 00:01:07,840 Speaker 4: in terms of the top line and the bottom line 22 00:01:07,959 --> 00:01:11,680 Speaker 4: have been second to none and certainly leading in our industry. 23 00:01:12,560 --> 00:01:14,760 Speaker 4: And it has taken a lot of cost discipline in 24 00:01:14,880 --> 00:01:20,640 Speaker 4: terms of really looking at making that perfect match between 25 00:01:20,880 --> 00:01:24,440 Speaker 4: a rider and a driver, or an eater and a 26 00:01:24,480 --> 00:01:28,640 Speaker 4: courier and a restaurant, and making sure everything in that 27 00:01:29,040 --> 00:01:33,720 Speaker 4: transaction happens perfectly with no errors, no mistakes, no cancelations, 28 00:01:33,760 --> 00:01:37,200 Speaker 4: et cetera. And at the same time it takes a 29 00:01:37,240 --> 00:01:40,839 Speaker 4: lot of cost discipline. In terms of overheads. Our headcount 30 00:01:40,880 --> 00:01:43,360 Speaker 4: has been flat, and if you look at our headcount 31 00:01:43,440 --> 00:01:48,080 Speaker 4: compared to twenty nineteen pre pandemic, our total cat count 32 00:01:48,120 --> 00:01:51,000 Speaker 4: is up ten percent during those years, and our growth 33 00:01:51,000 --> 00:01:54,280 Speaker 4: bookings in the core business has been up eighty percent 34 00:01:54,560 --> 00:01:58,200 Speaker 4: versus headcount growth of ten percent. So it absolutely has 35 00:01:58,240 --> 00:02:00,920 Speaker 4: taken that discipline. But at the same time, the company 36 00:02:00,920 --> 00:02:04,280 Speaker 4: continues to innovate and gain category position, which is what 37 00:02:04,320 --> 00:02:04,920 Speaker 4: it's all about. 38 00:02:05,760 --> 00:02:08,920 Speaker 2: Now. You formally announced that CFO Nelson Chai will be 39 00:02:09,000 --> 00:02:12,880 Speaker 2: leaving the company, which Bloomberg reported a few weeks ago. 40 00:02:13,040 --> 00:02:15,839 Speaker 2: What is the interim plan and what are you looking for? 41 00:02:15,919 --> 00:02:18,240 Speaker 2: Will this be an internal hire and external hire? 42 00:02:18,639 --> 00:02:22,080 Speaker 4: Yeah, so Nelson is going to be staying with us 43 00:02:22,240 --> 00:02:26,040 Speaker 4: really through the balance of the year up until early 44 00:02:26,160 --> 00:02:31,120 Speaker 4: January to make sure that we have a smooth succession plan. 45 00:02:31,919 --> 00:02:34,959 Speaker 4: The next CFO is in seat and can be coached 46 00:02:34,960 --> 00:02:38,200 Speaker 4: by Nelson as well. And really what I'm looking for 47 00:02:38,400 --> 00:02:41,040 Speaker 4: is another partner like Nelson. You know, Nelson came in 48 00:02:41,040 --> 00:02:45,440 Speaker 4: in a very difficult time and teamed up with myself 49 00:02:45,480 --> 00:02:47,760 Speaker 4: and the rest of the team, taking us through an 50 00:02:47,840 --> 00:02:51,320 Speaker 4: environment of deep operating losses, taking us through the IPO, 51 00:02:51,960 --> 00:02:54,160 Speaker 4: getting us a really strong balance sheet so that we 52 00:02:54,200 --> 00:02:57,760 Speaker 4: could come out of the IPO and could deal with 53 00:02:57,840 --> 00:03:00,440 Speaker 4: issues like the pandemic to where we are, which is 54 00:03:00,440 --> 00:03:04,000 Speaker 4: a leading company. The next five years of her journey 55 00:03:04,280 --> 00:03:09,760 Speaker 4: are about scaling and becoming that true global platform that 56 00:03:09,800 --> 00:03:13,160 Speaker 4: can grow top line in a twenty percent range, can 57 00:03:13,200 --> 00:03:17,200 Speaker 4: continue to innovate and continue to drive the kinds of 58 00:03:17,320 --> 00:03:20,720 Speaker 4: margins and the incremental margin growth that we've been driving. Historically, 59 00:03:21,600 --> 00:03:24,679 Speaker 4: we told investors that incremental margins is a percentage of 60 00:03:24,680 --> 00:03:28,040 Speaker 4: growth bookings growth will be seven plus percent, and consistently 61 00:03:28,080 --> 00:03:31,160 Speaker 4: we've come in above that because we've been innovating but 62 00:03:31,280 --> 00:03:33,480 Speaker 4: at the same time been disciplined at the bottom line. 63 00:03:33,520 --> 00:03:36,000 Speaker 4: I'm looking for a partner who can deliver kind of 64 00:03:36,000 --> 00:03:38,720 Speaker 4: the next chapter of our growth, just like Nelson did, 65 00:03:39,320 --> 00:03:40,720 Speaker 4: Ubertotat also to speak. 66 00:03:41,280 --> 00:03:44,440 Speaker 2: So let's talk about the executives suite, the broader executives 67 00:03:44,440 --> 00:03:47,760 Speaker 2: WIT in that next chapter. Your CTO left back in 68 00:03:47,800 --> 00:03:51,200 Speaker 2: twenty twenty one was not replaced. How are you thinking 69 00:03:51,240 --> 00:03:54,760 Speaker 2: about that role? Is there anyone particular in mind? 70 00:03:55,200 --> 00:03:59,840 Speaker 4: We actually our tech team is led by three to 71 00:03:59,840 --> 00:04:05,000 Speaker 4: five leaders. Sinji Jaine, who's our chief product officer, really 72 00:04:05,000 --> 00:04:08,119 Speaker 4: thinking about the rider app, driver, app, eater, app. 73 00:04:08,160 --> 00:04:08,680 Speaker 3: Et cetera. 74 00:04:09,120 --> 00:04:14,960 Speaker 4: Gus Foldner who's thinking about the core services, customer service, safety, insurance, 75 00:04:15,320 --> 00:04:19,320 Speaker 4: et cetera. And then Albert Greenberg, who runs the infrastructure. 76 00:04:19,520 --> 00:04:22,320 Speaker 4: You know, we are at a core a technology company, 77 00:04:22,440 --> 00:04:25,080 Speaker 4: and instead of having one tech leader, we have three 78 00:04:25,120 --> 00:04:30,320 Speaker 4: tech leaders, and that team has come together to drive 79 00:04:30,880 --> 00:04:35,000 Speaker 4: outsize innovation. When you look at driver upfront fares, when 80 00:04:35,000 --> 00:04:37,520 Speaker 4: you look at our Uber teens product, when you look 81 00:04:37,560 --> 00:04:41,960 Speaker 4: at taxi hailables, low cost, our entry into new verticals, 82 00:04:42,400 --> 00:04:45,800 Speaker 4: there's no company in the industry that's innovating at our 83 00:04:45,839 --> 00:04:48,560 Speaker 4: speed or scale. And it's thanks thanks to the tech 84 00:04:48,640 --> 00:04:50,239 Speaker 4: leaders that we have in house at this point. 85 00:04:51,560 --> 00:04:54,279 Speaker 1: To our global radio and television audience, you're listening to 86 00:04:54,279 --> 00:04:58,800 Speaker 1: our conversation with the CEO, Dara Koshushahi following that earning sprint. 87 00:04:58,839 --> 00:05:01,520 Speaker 1: You know, Dara, I look at the quarter gone number 88 00:05:01,520 --> 00:05:05,839 Speaker 1: of trips, gross bookings, active drivers, demand and supply side 89 00:05:06,160 --> 00:05:10,160 Speaker 1: all at records strong gross booking forecast. Why wasn't that 90 00:05:10,360 --> 00:05:13,960 Speaker 1: enough to kind of raise expectations for adjusted a bit 91 00:05:14,040 --> 00:05:16,400 Speaker 1: DON next year You'd said in February, I believe it'd 92 00:05:16,440 --> 00:05:17,480 Speaker 1: be around five billion. 93 00:05:19,040 --> 00:05:21,200 Speaker 4: Well, I'm not a stock analyst. I can focus on 94 00:05:21,279 --> 00:05:25,279 Speaker 4: running the company. H And we guided for Q three 95 00:05:26,120 --> 00:05:29,040 Speaker 4: adjusted EBITDA well above street estimates. We got her for 96 00:05:29,640 --> 00:05:33,719 Speaker 4: nine hundred and seventy five million to a billion twenty five, 97 00:05:34,800 --> 00:05:38,599 Speaker 4: which was a substantial increase versus expectations out there. 98 00:05:39,040 --> 00:05:40,560 Speaker 3: And consistently, if you look. 99 00:05:40,400 --> 00:05:44,320 Speaker 4: At our track record, we've put out targets, we've consistently 100 00:05:44,360 --> 00:05:48,640 Speaker 4: beaten those targets, you know, by anywhere five ten plus percent. 101 00:05:49,240 --> 00:05:52,960 Speaker 4: And we intend to beat that five billion dollar target, 102 00:05:53,000 --> 00:05:55,719 Speaker 4: just as we've beaten every single target that we put 103 00:05:56,680 --> 00:06:02,479 Speaker 4: in front of our investor. So we think continued discipline, execution, strongths, 104 00:06:02,480 --> 00:06:05,000 Speaker 4: top line growth, increased margins. 105 00:06:04,800 --> 00:06:07,400 Speaker 3: And more of the same along. 106 00:06:07,080 --> 00:06:09,440 Speaker 4: With innovation is going to get us well beyond the 107 00:06:09,440 --> 00:06:10,400 Speaker 4: five billion dollars. 108 00:06:11,120 --> 00:06:14,360 Speaker 1: The innovation piece really interesting. I liked Emily's question about 109 00:06:14,400 --> 00:06:17,680 Speaker 1: the tech leadership. M's been all around San Francisco and 110 00:06:17,720 --> 00:06:20,520 Speaker 1: a cruise. I've been all around San Francisco and a weyman, 111 00:06:20,560 --> 00:06:23,440 Speaker 1: and I appreciate for our audience around the world. Jumping 112 00:06:23,480 --> 00:06:27,039 Speaker 1: in a robotaxi with no driver is not yet a reality, 113 00:06:27,600 --> 00:06:29,880 Speaker 1: but for lots of people that I asked on thread's 114 00:06:29,920 --> 00:06:33,039 Speaker 1: Twitter LinkedIn, that's their question for you, Dara, when is 115 00:06:33,160 --> 00:06:36,400 Speaker 1: Uber going to take that fleet of autonomous vehicles as 116 00:06:36,480 --> 00:06:37,400 Speaker 1: more of a priority. 117 00:06:38,920 --> 00:06:43,200 Speaker 4: Well, we are very bullish on autonomous It's taking time. 118 00:06:43,279 --> 00:06:45,440 Speaker 4: We have to make sure that the technology is saved 119 00:06:46,200 --> 00:06:50,919 Speaker 4: and we're partnering amongst all of the significant verticals that 120 00:06:50,960 --> 00:06:54,000 Speaker 4: we have. What are the unique aspects of ubers. Not 121 00:06:54,120 --> 00:06:56,839 Speaker 4: only are we global, not only are we the largest 122 00:06:56,839 --> 00:07:01,040 Speaker 4: platform with the biggest audience one hundred thirty seven million 123 00:07:01,120 --> 00:07:04,880 Speaker 4: consumers coming to us every single month, but we operate 124 00:07:05,480 --> 00:07:12,320 Speaker 4: in every significant vertical for autonomous passenger vehicles with Uber delivery, 125 00:07:12,400 --> 00:07:16,280 Speaker 4: food and grocery delivery, delivery with eats, and then trade 126 00:07:16,320 --> 00:07:20,360 Speaker 4: as well. Autonomous trucks are absolutely going to be a 127 00:07:20,400 --> 00:07:22,640 Speaker 4: big part of our future. And if you look at 128 00:07:22,680 --> 00:07:25,920 Speaker 4: each one of those verticals, we're partnering with leading companies 129 00:07:26,400 --> 00:07:33,800 Speaker 4: Waymo for example in passenger vehicles, neuro and Serve, amongst 130 00:07:33,840 --> 00:07:37,320 Speaker 4: others in delivery, and then in trucking of course Aurora, 131 00:07:37,920 --> 00:07:41,080 Speaker 4: with which we have a strategic investment as well. So 132 00:07:41,160 --> 00:07:43,920 Speaker 4: we absolutely believe that autonomous is going to be part 133 00:07:44,400 --> 00:07:49,840 Speaker 4: of the future and we are working to expose our 134 00:07:49,960 --> 00:07:54,600 Speaker 4: leading marketplace to autonomous technology as it develops in a safe, 135 00:07:54,640 --> 00:07:55,400 Speaker 4: efficient manner. 136 00:07:56,200 --> 00:08:00,160 Speaker 2: Well, speaking of another kind of technology, artificial intelligence to 137 00:08:00,240 --> 00:08:02,960 Speaker 2: cards now out with the chatbot door dash as well. 138 00:08:03,120 --> 00:08:05,440 Speaker 2: Is there an Uber bought in the works? 139 00:08:06,240 --> 00:08:08,920 Speaker 4: There's definitely going to be an Uber bought in the works. 140 00:08:08,920 --> 00:08:11,200 Speaker 4: But I tell you that we have been working with 141 00:08:11,280 --> 00:08:17,560 Speaker 4: machine learnings, artificial intelligence systems deep learning systems for years and. 142 00:08:17,560 --> 00:08:18,360 Speaker 3: Years and years. 143 00:08:18,480 --> 00:08:21,520 Speaker 4: Every time you get matched up with a car or 144 00:08:21,560 --> 00:08:24,880 Speaker 4: get matched up with a courier, there are mL algorithms 145 00:08:24,880 --> 00:08:28,840 Speaker 4: that are making that match. The pricing that happens time 146 00:08:28,880 --> 00:08:33,719 Speaker 4: and day and distance. All of that is driven by 147 00:08:33,960 --> 00:08:37,920 Speaker 4: machine learning algorithms. So that has been going on. Those 148 00:08:37,960 --> 00:08:40,480 Speaker 4: algorithms only get better in the data sets that we 149 00:08:40,520 --> 00:08:43,760 Speaker 4: work with are the largest data sets globally, and the 150 00:08:43,760 --> 00:08:46,240 Speaker 4: more data we have, the smarter we get, the more. 151 00:08:46,040 --> 00:08:48,040 Speaker 3: Personal we can get. 152 00:08:48,559 --> 00:08:52,520 Speaker 4: We are now focused more on productivity applications, so for example, 153 00:08:52,559 --> 00:08:59,679 Speaker 4: introducing GitHub copilot for our developers, or helping summarize situation 154 00:09:00,160 --> 00:09:04,280 Speaker 4: for customer service agents so that they already know context 155 00:09:04,320 --> 00:09:07,280 Speaker 4: of what's going on with the particular customer and how 156 00:09:07,440 --> 00:09:12,320 Speaker 4: they can help. We will absolutely put our AI agents 157 00:09:12,320 --> 00:09:15,160 Speaker 4: out there to help the consumer, but also don't forget 158 00:09:15,160 --> 00:09:19,600 Speaker 4: about the driver drivers who are driving on our marketplace. 159 00:09:19,880 --> 00:09:23,600 Speaker 4: They also want help where should I go, what right 160 00:09:23,640 --> 00:09:26,720 Speaker 4: should I accept, etc. So we're also working on AI 161 00:09:27,000 --> 00:09:30,120 Speaker 4: to power drivers and couriers so that they can make 162 00:09:30,200 --> 00:09:33,640 Speaker 4: smarter decisions every day, to be able to earn flexibly, 163 00:09:34,000 --> 00:09:36,160 Speaker 4: but to maximize their earnings based on their time. 164 00:09:36,880 --> 00:09:39,040 Speaker 2: So hang on, just to double down, there is an 165 00:09:39,120 --> 00:09:41,839 Speaker 2: Uber chat bought something that you're working on right now. 166 00:09:42,760 --> 00:09:45,720 Speaker 4: We're working on it right now, absolutely, but it's a 167 00:09:45,960 --> 00:09:49,320 Speaker 4: very very small part of the AI ecosystem. 168 00:09:49,320 --> 00:09:53,600 Speaker 1: In er. Our global radio and television audience is listening 169 00:09:53,640 --> 00:09:58,040 Speaker 1: to the CEO Dara Kushashahi. Dara Uber is as close 170 00:09:58,080 --> 00:10:01,320 Speaker 1: as anything the US and Europe had to an everything 171 00:10:01,360 --> 00:10:04,520 Speaker 1: app something akin to what you might see in Southeast Asia. 172 00:10:05,120 --> 00:10:09,520 Speaker 1: So I'm curious how closely you're paying attention to your 173 00:10:09,559 --> 00:10:13,520 Speaker 1: crosstown neighbor, mister Musk and what X is doing within 174 00:10:13,559 --> 00:10:14,240 Speaker 1: everything app. 175 00:10:15,679 --> 00:10:18,480 Speaker 4: Well, it's difficult to take your eyes off of what 176 00:10:18,600 --> 00:10:21,240 Speaker 4: Musk is doing or read about what Evon is doing, 177 00:10:21,280 --> 00:10:23,880 Speaker 4: and we do so because we want to learn and listen. 178 00:10:23,920 --> 00:10:24,600 Speaker 3: It's pretty fun. 179 00:10:25,559 --> 00:10:28,360 Speaker 4: But we are leading in terms of building out a 180 00:10:28,400 --> 00:10:31,840 Speaker 4: super app. Remember to that in Southeast Asia we have 181 00:10:31,880 --> 00:10:37,959 Speaker 4: a very significant strategic investment in grab Grab as has 182 00:10:38,240 --> 00:10:43,680 Speaker 4: mobility delivery payments on their app, Kareem in which we 183 00:10:43,760 --> 00:10:47,720 Speaker 4: have a big investment in Meddally same thing mobility delivery 184 00:10:47,720 --> 00:10:53,400 Speaker 4: payments payments as well. So we're very very familiar with 185 00:10:53,480 --> 00:10:56,240 Speaker 4: a super app concept and in the West, I do 186 00:10:56,320 --> 00:11:00,520 Speaker 4: think Uber is the closest to achieving that super We 187 00:11:00,559 --> 00:11:03,520 Speaker 4: want to be that operating system for your everyday life. 188 00:11:03,679 --> 00:11:06,839 Speaker 4: Wherever you're going, whatever you want to get delivered, Uber 189 00:11:06,920 --> 00:11:08,240 Speaker 4: is going to be there for you. And I think 190 00:11:08,280 --> 00:11:12,160 Speaker 4: that we are steadily moving along with the super at path, 191 00:11:12,559 --> 00:11:15,800 Speaker 4: which is why we're gaining category or position against their competitors. 192 00:11:16,120 --> 00:11:20,199 Speaker 4: Both in mobility and delivery while delivering margins and being 193 00:11:20,240 --> 00:11:21,080 Speaker 4: profitable as well. 194 00:11:22,280 --> 00:11:26,040 Speaker 2: Curious a Free is part of that super app plan, Dara. 195 00:11:26,080 --> 00:11:28,320 Speaker 2: I mean even you pointed out today that you know 196 00:11:28,440 --> 00:11:31,439 Speaker 2: that is the weakness in the business. It does seem 197 00:11:31,440 --> 00:11:33,680 Speaker 2: to be a drag on the business. What's the plan 198 00:11:33,800 --> 00:11:35,640 Speaker 2: there to sell it, to spin it off? 199 00:11:36,720 --> 00:11:38,720 Speaker 4: Well, the plan is to build at this point. So 200 00:11:39,280 --> 00:11:43,000 Speaker 4: FRED is absolutely suffering from the same kinds of trendsit 201 00:11:43,080 --> 00:11:47,640 Speaker 4: you see in terms of delivery of things in retail 202 00:11:47,880 --> 00:11:51,480 Speaker 4: generally is a bit weaker than spend on services. You 203 00:11:51,559 --> 00:11:53,880 Speaker 4: saw Yellow for example, big trucking firm go out of 204 00:11:53,920 --> 00:11:59,080 Speaker 4: business yesterday. There's a lot of difficulty in terms of 205 00:11:59,080 --> 00:12:02,600 Speaker 4: freight in terms of rates, and FRED is fighting its 206 00:12:02,640 --> 00:12:07,439 Speaker 4: way through that. But we continue to innovate. Even today. 207 00:12:07,480 --> 00:12:11,960 Speaker 4: The way that shippers connected truckers is incredibly outmotive. There's 208 00:12:12,000 --> 00:12:14,600 Speaker 4: a lot of paper, there is so much data. The pricing, 209 00:12:14,720 --> 00:12:19,320 Speaker 4: the routing, etc. Is based on technology that was built 210 00:12:19,360 --> 00:12:23,360 Speaker 4: twenty twenty five years ago. As we continue to innovate 211 00:12:23,440 --> 00:12:28,000 Speaker 4: and as we continue to focus on algorithmic pricing making 212 00:12:28,040 --> 00:12:30,840 Speaker 4: that perfect match between a shipper and a trucker, we 213 00:12:30,920 --> 00:12:32,839 Speaker 4: think over per the time we can build an asset 214 00:12:32,880 --> 00:12:35,800 Speaker 4: of great value. So at this point it's heads down. 215 00:12:36,240 --> 00:12:39,319 Speaker 4: The team is executing in a tough environment. Our losses 216 00:12:39,360 --> 00:12:42,240 Speaker 4: are decreasing. We think the second half on a bottom 217 00:12:42,280 --> 00:12:44,719 Speaker 4: line basis, is going to be significantly better than the 218 00:12:44,760 --> 00:12:47,079 Speaker 4: first half. And next year we're going to get back 219 00:12:47,120 --> 00:12:48,319 Speaker 4: to growth, all right 220 00:12:48,720 --> 00:12:51,640 Speaker 1: Thanks to Bloomberg's emply changing in that conversation with Uber 221 00:12:51,720 --> 00:12:54,080 Speaker 1: CEO Dara Koshrashahi,