1 00:00:00,400 --> 00:00:02,560 Speaker 1: Stick into the Zuber earnings for peace to be welcoming 2 00:00:02,640 --> 00:00:05,240 Speaker 1: to the show, the CEO of that very company, Darklesushahi, 3 00:00:05,280 --> 00:00:07,480 Speaker 1: as well as of course our own Emi Chang of 4 00:00:07,520 --> 00:00:09,119 Speaker 1: Blue mag news Emy take it away. 5 00:00:09,160 --> 00:00:12,440 Speaker 2: First, Caroline, thank you so much. Dara, thank you as 6 00:00:12,440 --> 00:00:15,000 Speaker 2: well as always for joining us. So look, Uber shares 7 00:00:15,040 --> 00:00:17,000 Speaker 2: have almost doubled this year, but they were a little 8 00:00:17,040 --> 00:00:20,880 Speaker 2: volatile this morning on the upswing. Now, what's the message 9 00:00:20,920 --> 00:00:23,320 Speaker 2: to investors who are seeing mixed signals here? 10 00:00:24,560 --> 00:00:27,600 Speaker 3: Well, the message to investors is that we had another 11 00:00:27,800 --> 00:00:32,520 Speaker 3: record quarter and that the business is accelerating and actually 12 00:00:32,560 --> 00:00:36,960 Speaker 3: surprised us on on the top line, our growth bookings 13 00:00:36,960 --> 00:00:41,040 Speaker 3: came in over thirty five billion dollars, up twenty percent 14 00:00:41,080 --> 00:00:44,960 Speaker 3: on a constant currency basis, accelerated versus an already high 15 00:00:45,000 --> 00:00:48,400 Speaker 3: growth rate in Q two. If you look at the 16 00:00:48,479 --> 00:00:51,120 Speaker 3: number of trips taken on the platform, two point four 17 00:00:51,280 --> 00:00:55,880 Speaker 3: billion trips this last quarter, that's twenty seven million trips 18 00:00:55,880 --> 00:00:58,960 Speaker 3: taken every single day. That was up twenty five percent 19 00:00:59,040 --> 00:01:02,040 Speaker 3: ton and you're on your base us again, an acceleration 20 00:01:02,240 --> 00:01:05,560 Speaker 3: over last quarter where trips grew twenty two percent. We 21 00:01:05,680 --> 00:01:09,720 Speaker 3: did have a revenue accounting adjustment, and basically it was 22 00:01:11,040 --> 00:01:17,800 Speaker 3: taking marketing costs and incentives. We do provide incentives to customers, 23 00:01:18,600 --> 00:01:22,319 Speaker 3: discounts to spur demand, and while they used to be 24 00:01:22,959 --> 00:01:26,920 Speaker 3: classified as marketing cost in previous years, in previous quarters 25 00:01:27,480 --> 00:01:32,560 Speaker 3: they were classified as contra revenue and our revenue then 26 00:01:32,600 --> 00:01:37,200 Speaker 3: stated revenue grow ten percent. But this it's really the 27 00:01:37,360 --> 00:01:42,280 Speaker 3: geography of marketing. Classified as contra revenue took down a 28 00:01:42,319 --> 00:01:45,480 Speaker 3: reported revenue by eight percent, doesn't affect the bottom line 29 00:01:45,520 --> 00:01:49,240 Speaker 3: at all. So ourjustiny Badah came in at a billion 30 00:01:49,360 --> 00:01:52,160 Speaker 3: ninety two, up over one hundred percent on y're on 31 00:01:52,200 --> 00:01:56,160 Speaker 3: your basis, And then of course we were again gap 32 00:01:56,720 --> 00:02:00,040 Speaker 3: net income profitable with over two hundred million dollars in 33 00:01:59,760 --> 00:02:03,320 Speaker 3: net income and something that we expect to be profitable 34 00:02:03,360 --> 00:02:05,000 Speaker 3: going forward as an enterprise. 35 00:02:05,520 --> 00:02:08,480 Speaker 2: Right your second quarter of profitability. Revenue is growing more 36 00:02:08,520 --> 00:02:11,440 Speaker 2: slowly though over the last several quarters. So you know, 37 00:02:11,480 --> 00:02:14,720 Speaker 2: what are your longer term what's your longer term view 38 00:02:15,080 --> 00:02:17,000 Speaker 2: on where the growth is going to come from. And 39 00:02:17,120 --> 00:02:20,680 Speaker 2: you know, those who were concerned about market saturation, well, the. 40 00:02:20,639 --> 00:02:24,119 Speaker 3: Revenue growth slowdown is again purely as a result of 41 00:02:24,200 --> 00:02:28,160 Speaker 3: these accounting reclassifications. If you look at the business and 42 00:02:28,240 --> 00:02:32,000 Speaker 3: the bookings growth, which is really consumer demand, both on 43 00:02:32,040 --> 00:02:35,440 Speaker 3: the right side and on the delivery side. Both of 44 00:02:35,480 --> 00:02:40,040 Speaker 3: them accelerated. So our mobility business grew growth bookings thirty 45 00:02:40,080 --> 00:02:42,160 Speaker 3: percent on a year on year basis. It was an 46 00:02:42,240 --> 00:02:46,640 Speaker 3: acceleration over Q two. We saw strength all over the world, 47 00:02:46,720 --> 00:02:49,680 Speaker 3: but we saw particular strength in the Asia Pacific regions 48 00:02:50,120 --> 00:02:52,480 Speaker 3: and Latin American regions as a result of some of 49 00:02:52,520 --> 00:02:58,360 Speaker 3: the newer products that we've introduced, taxi two wheelers, motorcycles 50 00:02:58,400 --> 00:03:01,839 Speaker 3: that you know are Uber motors that can whish through traffic, etc. 51 00:03:02,720 --> 00:03:05,440 Speaker 3: And then on the delivery side, our gross bookings grow 52 00:03:05,520 --> 00:03:08,679 Speaker 3: sixteen percent, again an acceleration over Q two when you 53 00:03:08,760 --> 00:03:12,800 Speaker 3: grow fourteen percent, and that's just food delivery continuing to 54 00:03:12,880 --> 00:03:16,920 Speaker 3: be super popular with consumers all around the world. It's 55 00:03:17,240 --> 00:03:21,639 Speaker 3: our growing faster than the general category. We gain category 56 00:03:21,680 --> 00:03:25,760 Speaker 3: position in nine out of ten top ten markets all 57 00:03:26,000 --> 00:03:28,919 Speaker 3: around the world. And it's our number of grocery offerings 58 00:03:29,400 --> 00:03:34,000 Speaker 3: expanding beyond just food into grocery, alcohol, pet food, whatever 59 00:03:34,080 --> 00:03:37,080 Speaker 3: you want delivered to your home. We want Uber East 60 00:03:37,080 --> 00:03:41,880 Speaker 3: to be there. So the strength continues. The consumer US consumer, 61 00:03:42,240 --> 00:03:45,960 Speaker 3: global consumer continues to be strong, and that's definitely been 62 00:03:45,960 --> 00:03:47,040 Speaker 3: a tail one for our business. 63 00:03:47,840 --> 00:03:50,240 Speaker 2: You've been building out your advertising business, and I'm curious 64 00:03:50,240 --> 00:03:53,440 Speaker 2: where you see the biggest opportunity there. Who's a target demo, 65 00:03:53,680 --> 00:03:56,440 Speaker 2: where's the most upside, Where's the best place to show 66 00:03:56,560 --> 00:03:59,680 Speaker 2: folks in the app new advertising and how does that 67 00:03:59,720 --> 00:04:00,320 Speaker 2: play out? 68 00:04:01,400 --> 00:04:05,360 Speaker 3: Well? The biggest part of our advertising business are restaurants 69 00:04:05,400 --> 00:04:08,960 Speaker 3: who are looking to improve their placement inside of the 70 00:04:08,960 --> 00:04:14,480 Speaker 3: marketplace by targeting consumers or eaters who are likely to 71 00:04:14,640 --> 00:04:17,160 Speaker 3: want to eat from that restaurant. And these are mostly 72 00:04:17,279 --> 00:04:22,479 Speaker 3: small and medium businesses and enterprises like McDonald's or Wendy's, etc. 73 00:04:23,080 --> 00:04:26,560 Speaker 3: Who advertise on our platform. And because we know so 74 00:04:26,640 --> 00:04:30,560 Speaker 3: much about our consumers all our data, etc. We can 75 00:04:30,640 --> 00:04:36,360 Speaker 3: identify consumer segments who are likely to react, so to speak, 76 00:04:36,400 --> 00:04:41,320 Speaker 3: to that advertising. And as a result, advertising revenue continues 77 00:04:41,360 --> 00:04:46,839 Speaker 3: to grow at significant numbers. We targeted a billion dollars 78 00:04:46,880 --> 00:04:50,799 Speaker 3: in advertising for next year. We're pacing on that target. 79 00:04:50,920 --> 00:04:53,720 Speaker 3: We're going to exceed that target as well. The number 80 00:04:53,760 --> 00:04:56,440 Speaker 3: of advertisers who are advertising on Uber is up seventy 81 00:04:56,480 --> 00:04:58,600 Speaker 3: percent on a year on year basis. It's over four 82 00:04:58,680 --> 00:05:02,640 Speaker 3: hundred thousand dollars four hundred thousand businesses as well. Now, 83 00:05:02,720 --> 00:05:05,880 Speaker 3: one of the newer advertising products that we're very excited 84 00:05:05,880 --> 00:05:10,159 Speaker 3: about is actually branded advertisements, and you might see those 85 00:05:10,160 --> 00:05:14,480 Speaker 3: branded advertisement advertisements when you're using your Uber app and 86 00:05:14,520 --> 00:05:18,080 Speaker 3: you're waiting for your car. We might show you and 87 00:05:18,160 --> 00:05:22,719 Speaker 3: add from an Apple or a credit card company, or 88 00:05:22,800 --> 00:05:27,599 Speaker 3: an upcoming movie. Our demographic consumer tends to be urban, 89 00:05:27,880 --> 00:05:30,680 Speaker 3: tends to be very high income, and we have very 90 00:05:30,720 --> 00:05:33,640 Speaker 3: big hopes for our branded advertising business as well. 91 00:05:34,080 --> 00:05:36,440 Speaker 4: Dar We've gone deep here on the numbers, which Emily 92 00:05:36,480 --> 00:05:38,960 Speaker 4: and Caroline know I love doing, But I just have 93 00:05:39,000 --> 00:05:42,000 Speaker 4: a big picture question for you. What does Uber look 94 00:05:42,160 --> 00:05:44,440 Speaker 4: like in five years from now and what are the 95 00:05:44,480 --> 00:05:47,159 Speaker 4: steps that you take to meet your vision for Uber 96 00:05:47,240 --> 00:05:48,120 Speaker 4: in five years time? 97 00:05:49,160 --> 00:05:51,800 Speaker 3: Well, I think in five years time, we really want 98 00:05:51,800 --> 00:05:56,839 Speaker 3: to be that operating system for everyday life for you. Personally. 99 00:05:57,480 --> 00:05:59,200 Speaker 3: We want you to wake up and think about Uber. 100 00:05:59,279 --> 00:06:01,880 Speaker 3: I am I going to have breakfast? Am I going 101 00:06:01,960 --> 00:06:06,559 Speaker 3: to top up my groceries? If I'm cooking tonight, going 102 00:06:06,640 --> 00:06:09,280 Speaker 3: to the office, coming back to the office. We really 103 00:06:09,360 --> 00:06:13,400 Speaker 3: want Uber to be there every day to help you 104 00:06:13,480 --> 00:06:16,200 Speaker 3: in your life, to get you where you're going, and 105 00:06:16,279 --> 00:06:19,159 Speaker 3: to save time from some of these tasks. You know, 106 00:06:19,160 --> 00:06:21,000 Speaker 3: there are some people who like grocery shopping, but there 107 00:06:21,000 --> 00:06:23,320 Speaker 3: are a ton of people who don't like grocery shopping. 108 00:06:23,520 --> 00:06:24,960 Speaker 3: There are a ton of people who just want to 109 00:06:25,000 --> 00:06:28,000 Speaker 3: eat at home, etc. And we want Uber to be 110 00:06:28,480 --> 00:06:32,640 Speaker 3: that relevant life partner or life operating system for you 111 00:06:32,760 --> 00:06:35,240 Speaker 3: really all over the world. It's the freight unit. 112 00:06:35,560 --> 00:06:37,840 Speaker 1: Dara still part of that vision in five years time. 113 00:06:37,880 --> 00:06:40,919 Speaker 1: There's been talked from our own bluemerg analysis, so maybe 114 00:06:40,960 --> 00:06:43,200 Speaker 1: that's fun off well. 115 00:06:43,360 --> 00:06:47,200 Speaker 3: Freight is a very promising segment for us that is 116 00:06:47,640 --> 00:06:51,760 Speaker 3: suffering now from kind of the great freight recession that 117 00:06:51,800 --> 00:06:54,680 Speaker 3: you see create rates are coming down post pandemic as 118 00:06:54,720 --> 00:06:58,919 Speaker 3: a result of an oversupply situation. There are a ton 119 00:06:59,000 --> 00:07:02,960 Speaker 3: of digital broker and actually analog traditional brokers going out 120 00:07:03,000 --> 00:07:06,360 Speaker 3: of business now. One of our big competitors, Convoy, for example, 121 00:07:06,480 --> 00:07:08,280 Speaker 3: announced that they were going out of business a couple 122 00:07:08,320 --> 00:07:11,080 Speaker 3: of weeks ago, and that's those rates of hit or 123 00:07:11,160 --> 00:07:13,760 Speaker 3: freight business as well. It was down twenty seven percent 124 00:07:13,840 --> 00:07:18,720 Speaker 3: year on year. It lost some money, but the technology 125 00:07:19,040 --> 00:07:22,800 Speaker 3: of matching supply and demand in a digital way, we 126 00:07:22,840 --> 00:07:28,440 Speaker 3: still think has incredible promise. As the freight business cleans 127 00:07:28,560 --> 00:07:30,680 Speaker 3: up to some extent and some of the smaller players 128 00:07:31,160 --> 00:07:34,400 Speaker 3: move out. We think that Uber Freight is going to 129 00:07:34,480 --> 00:07:38,000 Speaker 3: emerge as one of the players with the best technology 130 00:07:38,040 --> 00:07:43,320 Speaker 3: out there. We've actually invested into the transportation management part 131 00:07:43,360 --> 00:07:46,520 Speaker 3: of the business. So not only do we connect you 132 00:07:46,640 --> 00:07:49,520 Speaker 3: with a trucker to go from point A to B, 133 00:07:50,000 --> 00:07:53,800 Speaker 3: we're helping you with your whole freight network and using 134 00:07:54,240 --> 00:07:56,920 Speaker 3: machine learning, using the power of the data that we 135 00:07:57,000 --> 00:08:02,720 Speaker 3: have to create a more effective shipping network for you. 136 00:08:03,120 --> 00:08:05,600 Speaker 3: We think that's a very promising business and at this 137 00:08:05,720 --> 00:08:09,520 Speaker 3: point we are absolutely investing in freight and innovating around freight. 138 00:08:10,560 --> 00:08:13,119 Speaker 2: Dara, Uber's been in the AI business for a long time, 139 00:08:13,200 --> 00:08:15,280 Speaker 2: but I know you're integrating it more and more into 140 00:08:15,360 --> 00:08:17,880 Speaker 2: the platform. Where have you seen the biggest value add 141 00:08:17,960 --> 00:08:20,280 Speaker 2: so far and where do you expect to see the 142 00:08:20,320 --> 00:08:23,240 Speaker 2: biggest value add from AI in the future. 143 00:08:24,200 --> 00:08:27,000 Speaker 3: Well, AI is intermingled into every part of our platform. 144 00:08:27,040 --> 00:08:29,080 Speaker 3: And you know, every single time you see a price 145 00:08:29,120 --> 00:08:32,320 Speaker 3: on Uber, every single time we make an offer to 146 00:08:33,520 --> 00:08:37,400 Speaker 3: a driver on Uber, every time we match you up 147 00:08:37,520 --> 00:08:42,400 Speaker 3: with a vehicle route you, all of that is powered 148 00:08:42,920 --> 00:08:47,160 Speaker 3: by AI. Some of the newer AI kind of innovations 149 00:08:47,160 --> 00:08:50,240 Speaker 3: that you see with large language models are helping us 150 00:08:50,400 --> 00:08:54,080 Speaker 3: automate some tasks that were difficult to automate previously or 151 00:08:54,120 --> 00:08:58,840 Speaker 3: difficult to train machine learning algos previously. One is, for example, 152 00:08:58,920 --> 00:09:04,200 Speaker 3: document transcription. If you put in your license, your insurance 153 00:09:04,280 --> 00:09:08,240 Speaker 3: background checks, et cetera. Documents we can transcribe to those 154 00:09:08,640 --> 00:09:11,160 Speaker 3: with the power of machine learning versus having humans look 155 00:09:11,200 --> 00:09:14,240 Speaker 3: at it. Humans, as it turns out, often make more 156 00:09:14,280 --> 00:09:17,880 Speaker 3: mistakes than algorithms. We actually combined both into call it 157 00:09:17,920 --> 00:09:22,640 Speaker 3: a superhuman. Another area that we are we think is 158 00:09:22,720 --> 00:09:25,880 Speaker 3: quite promising is actually on the customer service side. Anytime 159 00:09:25,920 --> 00:09:29,040 Speaker 3: someone reaches out to us in customer service, we have 160 00:09:29,080 --> 00:09:32,720 Speaker 3: to be aware of you know, your history with Uber. 161 00:09:32,760 --> 00:09:35,040 Speaker 3: We've got to be aware of the context, what's going 162 00:09:35,080 --> 00:09:38,960 Speaker 3: on in that particular time, and also what are our policies, 163 00:09:38,960 --> 00:09:42,120 Speaker 3: and our policies differ all over the world. Again, machine 164 00:09:42,160 --> 00:09:46,000 Speaker 3: learning algorithms can go through all of that at the 165 00:09:46,000 --> 00:09:48,840 Speaker 3: click of the button essentially and then get back to 166 00:09:48,880 --> 00:09:53,280 Speaker 3: the customer. And we think actually provide an elevated customer 167 00:09:53,360 --> 00:09:56,920 Speaker 3: service at a lower cost, something that's super excited for us. 168 00:09:57,360 --> 00:10:00,240 Speaker 4: All right, Well, thanks there to uberco direc question Shark, 169 00:10:00,360 --> 00:10:02,320 Speaker 4: and of course Bloomberg exemptly changed out in SC