1 00:00:02,520 --> 00:00:07,000 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:08,600 --> 00:00:12,360 Speaker 2: Welcome to a special edition of Bloomberg Tech. I'm Ed Ludlow. 3 00:00:12,880 --> 00:00:16,439 Speaker 2: Weaimo is widely seen as leading the robotaxi race, but 4 00:00:16,480 --> 00:00:19,680 Speaker 2: with competitors like Tesla on its heel, the Alphabet unit 5 00:00:19,760 --> 00:00:22,560 Speaker 2: has no interest in hitting the brakes on growth. In 6 00:00:22,600 --> 00:00:26,480 Speaker 2: a wide ranging interview, Weimo co CEO to Qidra Markhana 7 00:00:26,880 --> 00:00:31,520 Speaker 2: talk to us about expanding into foreign markets, ongoing safety investigations, 8 00:00:31,880 --> 00:00:35,880 Speaker 2: and their recent mega funding round. Let's take a listen 9 00:00:35,920 --> 00:00:40,240 Speaker 2: to that conversation. Now, you've just raised sixteen billion dollars. 10 00:00:40,320 --> 00:00:42,920 Speaker 2: It's a lot of money. What is it unlocked for 11 00:00:43,000 --> 00:00:46,280 Speaker 2: Weimo over the next twelve twenty four months. 12 00:00:46,920 --> 00:00:49,800 Speaker 3: Raising the sixteen billion dollars and at one hundred and 13 00:00:49,840 --> 00:00:53,200 Speaker 3: twenty six billion dollar valuation, is really a vote of confidence. 14 00:00:53,840 --> 00:00:56,000 Speaker 3: I mean, this team has been heads down for a 15 00:00:56,120 --> 00:01:00,520 Speaker 3: long time trying to bring this sort of scientific project 16 00:01:01,040 --> 00:01:04,400 Speaker 3: into reality and at scale. And so it's a huge 17 00:01:04,400 --> 00:01:08,119 Speaker 3: event of confidence not only from our majority investor, Alphabet, 18 00:01:08,319 --> 00:01:11,720 Speaker 3: but also from our co lead investors Sequoia and DST 19 00:01:12,360 --> 00:01:15,800 Speaker 3: and Dragonear, as well as a host of world class 20 00:01:16,120 --> 00:01:19,640 Speaker 3: existing and new investors and it just allows us to 21 00:01:19,680 --> 00:01:23,039 Speaker 3: continue to scale our business. Right now, we're laying the 22 00:01:23,040 --> 00:01:26,679 Speaker 3: groundwork for over twenty cities in this year alone. 23 00:01:27,560 --> 00:01:30,000 Speaker 2: I should point out, you know, we reported Alphabet will 24 00:01:30,000 --> 00:01:32,560 Speaker 2: account for the vast majority of that sixteen billion. But 25 00:01:32,600 --> 00:01:38,240 Speaker 2: it is interesting, so Quoia Capital Dst Dragonaire beyond you investors, 26 00:01:38,800 --> 00:01:41,520 Speaker 2: what do we interpret from that that they came in 27 00:01:41,760 --> 00:01:44,080 Speaker 2: at this stage of the company's life. 28 00:01:44,240 --> 00:01:46,560 Speaker 3: I think it's important to interpret that this is an 29 00:01:46,560 --> 00:01:51,000 Speaker 3: inflection point, right, Like in twenty twenty five, we quadrupled 30 00:01:51,080 --> 00:01:53,800 Speaker 3: the number of trips that we are providing, so we 31 00:01:53,880 --> 00:01:58,639 Speaker 3: offered fifteen million rides and we have over twenty million 32 00:01:58,720 --> 00:01:59,400 Speaker 3: lifetime rides. 33 00:01:59,440 --> 00:02:01,480 Speaker 4: So it's just a really important year. 34 00:02:01,920 --> 00:02:04,640 Speaker 3: And now that we've launched Miami, that's across six cities, 35 00:02:05,000 --> 00:02:07,480 Speaker 3: but at that time it was across five cities, and 36 00:02:07,560 --> 00:02:10,880 Speaker 3: so demonstrating not only that the technology works, that we're 37 00:02:10,919 --> 00:02:13,600 Speaker 3: able to drive the safety impacts that we've been focused on, 38 00:02:14,080 --> 00:02:16,480 Speaker 3: you know, with when we were at one hundred and 39 00:02:16,560 --> 00:02:20,040 Speaker 3: twenty seven million miles, we were able to demonstrate a 40 00:02:20,160 --> 00:02:25,080 Speaker 3: ninety percent that we had ninety percent fewer serious injury 41 00:02:25,160 --> 00:02:28,919 Speaker 3: causing crashes or worse. That's the kind of safety output 42 00:02:29,000 --> 00:02:31,440 Speaker 3: that drives us. That's our mission to be the world's 43 00:02:31,440 --> 00:02:34,880 Speaker 3: most trusted driver. So coming in at this point demonstrates 44 00:02:34,880 --> 00:02:39,200 Speaker 3: that consumers are adopting it, the safety case is being made. 45 00:02:39,040 --> 00:02:41,400 Speaker 4: And it's just really exciting time to join the team. 46 00:02:41,560 --> 00:02:44,919 Speaker 2: You set the same for expansion across twenty cities this year. 47 00:02:45,000 --> 00:02:48,720 Speaker 2: Right right now, you're doing four hundred thousand paid rides 48 00:02:48,720 --> 00:02:50,079 Speaker 2: a week across six cities. 49 00:02:50,639 --> 00:02:52,600 Speaker 1: It's a greater scale. 50 00:02:52,400 --> 00:02:54,360 Speaker 2: Than when you and I talked to more than a 51 00:02:54,440 --> 00:02:56,920 Speaker 2: year ago, which seemed to be to be a time 52 00:02:57,200 --> 00:03:00,560 Speaker 2: of pace. Then what's the biggest challenge of operating a 53 00:03:00,639 --> 00:03:04,440 Speaker 2: robotaxi service at that new scale that you're developing. 54 00:03:05,080 --> 00:03:08,359 Speaker 3: I think everything is really exciting right now, and there 55 00:03:08,400 --> 00:03:11,440 Speaker 3: are many many things to be learned as we go. 56 00:03:11,880 --> 00:03:14,799 Speaker 3: Right like some markets are still not open and they're 57 00:03:14,880 --> 00:03:19,080 Speaker 3: really important transportation hubs around the world, like New York City, right, 58 00:03:19,160 --> 00:03:21,400 Speaker 3: you know. And so we were the first company to 59 00:03:21,480 --> 00:03:25,440 Speaker 3: receive a testing permit where we had driver supervision of 60 00:03:25,560 --> 00:03:29,799 Speaker 3: fully autonomous testing in the city. And we believe now 61 00:03:29,840 --> 00:03:32,440 Speaker 3: with Governor Hokel that we will be able to be 62 00:03:32,480 --> 00:03:35,240 Speaker 3: the first company to launch a New York City a 63 00:03:35,280 --> 00:03:37,440 Speaker 3: New York state. But you know this is going to 64 00:03:37,440 --> 00:03:40,440 Speaker 3: be a path actually figuring out the regulatory landscape. 65 00:03:40,440 --> 00:03:43,600 Speaker 2: There's something there, isn't there. City versus state, state versus ver. 66 00:03:43,920 --> 00:03:46,000 Speaker 2: We will talk about it. Yeah, I got a lot 67 00:03:46,000 --> 00:03:47,840 Speaker 2: of interest when I said that I was going to 68 00:03:47,840 --> 00:03:50,600 Speaker 2: be speaking with you about sixteen billion dollars. A lot 69 00:03:50,640 --> 00:03:53,040 Speaker 2: of money, but actually how will you use it? There's 70 00:03:53,080 --> 00:03:57,360 Speaker 2: a tension between scaling operations the fleet. You know, you've 71 00:03:57,360 --> 00:03:59,920 Speaker 2: got to have more cars, but also a commitment to 72 00:04:00,120 --> 00:04:02,760 Speaker 2: invest in technology. And I wanted to teach you how 73 00:04:02,840 --> 00:04:05,360 Speaker 2: far you've thought about how much goes into each of 74 00:04:05,400 --> 00:04:06,120 Speaker 2: those buckets. 75 00:04:06,720 --> 00:04:09,440 Speaker 3: Yeah, so first and foremost, when we think about twenty 76 00:04:09,480 --> 00:04:12,080 Speaker 3: twenty six, you know, just the year ahead of us 77 00:04:12,200 --> 00:04:16,960 Speaker 3: execution execution execution, So scaling across these twenty cities that 78 00:04:17,000 --> 00:04:20,200 Speaker 3: were laying the groundwork for continuing to grow our world 79 00:04:20,200 --> 00:04:24,400 Speaker 3: class team is obviously super important to us. Making sure 80 00:04:24,480 --> 00:04:27,200 Speaker 3: that we are continuing to cost down our hardware stack 81 00:04:27,839 --> 00:04:31,520 Speaker 3: and prove out our unit economics while scaling our fleet. 82 00:04:31,839 --> 00:04:35,960 Speaker 3: And so we have our fully electric ipace fleet. We 83 00:04:36,040 --> 00:04:39,279 Speaker 3: are starting to introduce the OHI vehicles and then you 84 00:04:39,360 --> 00:04:42,240 Speaker 3: will see the ionic fives come online and so making 85 00:04:42,279 --> 00:04:45,039 Speaker 3: sure that we are investing for the long term for 86 00:04:45,080 --> 00:04:47,279 Speaker 3: a sustainable business is what we're really fueding. 87 00:04:47,279 --> 00:04:51,920 Speaker 2: See the ohig vehicles testing. If I am a user 88 00:04:51,920 --> 00:04:53,760 Speaker 2: of the service right now, will I soon be able 89 00:04:53,800 --> 00:04:55,280 Speaker 2: to actually get into an. 90 00:04:55,160 --> 00:04:58,280 Speaker 3: Ohai you will this year be able to right now? 91 00:04:58,320 --> 00:05:00,600 Speaker 3: We've only throughout twenty twenty five. In the beginning of 92 00:05:00,680 --> 00:05:03,440 Speaker 3: this year, had employees in three cities. 93 00:05:03,800 --> 00:05:06,480 Speaker 2: We just had a huge weekend here in the Bay Area, 94 00:05:06,720 --> 00:05:10,919 Speaker 2: San Francisco, but Santa Clara Super Bowl. Yes, I across 95 00:05:10,920 --> 00:05:14,360 Speaker 2: social media saw a lot of people reflect on their 96 00:05:14,839 --> 00:05:18,640 Speaker 2: first experience in a robotaxi, some of them of course 97 00:05:18,839 --> 00:05:23,280 Speaker 2: with Weimo, was that a tangible, meaningful moment for. 98 00:05:23,240 --> 00:05:25,160 Speaker 1: The company recently in the town? 99 00:05:25,440 --> 00:05:25,760 Speaker 4: Yes? 100 00:05:26,240 --> 00:05:26,720 Speaker 1: What data? 101 00:05:26,760 --> 00:05:28,800 Speaker 2: What evidence can we can we point to on how 102 00:05:28,800 --> 00:05:29,520 Speaker 2: big a weekend? 103 00:05:29,720 --> 00:05:34,040 Speaker 3: Yeah, Super Bowl is a reminder for us that Weimo 104 00:05:34,320 --> 00:05:37,000 Speaker 3: is part of the fabric of the Bay Area, right 105 00:05:37,040 --> 00:05:40,440 Speaker 3: Like people were able to hail rides from SFO from 106 00:05:40,560 --> 00:05:43,640 Speaker 3: San Jose Airport, people were able to get to. 107 00:05:43,520 --> 00:05:45,080 Speaker 4: And from the Levi Stadium. 108 00:05:45,480 --> 00:05:47,880 Speaker 3: You know, we obviously did a lot of fun activations 109 00:05:47,920 --> 00:05:51,520 Speaker 3: with influencers, but it's just a reminder that people are 110 00:05:51,640 --> 00:05:57,600 Speaker 3: using the weimo service in every day Aaron's doctor's appointments, 111 00:05:57,960 --> 00:06:02,240 Speaker 3: you know, getting kids to practice, in big life moments, weddings, 112 00:06:02,440 --> 00:06:06,920 Speaker 3: picking up a child from daycare, having a baby, you know, 113 00:06:07,000 --> 00:06:10,240 Speaker 3: going to the going to the hospital, pregnant, coming home 114 00:06:10,240 --> 00:06:13,480 Speaker 3: from the hospital with a newborn, and then these large 115 00:06:13,480 --> 00:06:16,520 Speaker 3: cultural moments, and so we've had a number of them. Obviously, 116 00:06:16,640 --> 00:06:19,080 Speaker 3: we started the month with the Grammys. We had a 117 00:06:19,120 --> 00:06:22,680 Speaker 3: host of activations there, then the super Bowl, and then 118 00:06:22,720 --> 00:06:25,760 Speaker 3: of course we have the All Star weekend coming in 119 00:06:25,800 --> 00:06:29,560 Speaker 3: Los Angeles, and so we're just finding this intersection of 120 00:06:29,600 --> 00:06:32,720 Speaker 3: everyday life and then real enthusiasm because a lot of 121 00:06:32,760 --> 00:06:34,720 Speaker 3: people came to the Bay Area for the super Bowl 122 00:06:35,000 --> 00:06:37,479 Speaker 3: and we're not in their city, and it's the thing 123 00:06:37,520 --> 00:06:39,400 Speaker 3: they had heard from their friends in the area. You 124 00:06:39,400 --> 00:06:42,400 Speaker 3: have to check out weimo, And so we saw so 125 00:06:42,520 --> 00:06:44,240 Speaker 3: many downloads. 126 00:06:43,600 --> 00:06:45,839 Speaker 4: And so many happy writers while they were here. 127 00:06:46,480 --> 00:06:50,440 Speaker 2: Weimo's reputation is growing globally and we're going to talk 128 00:06:50,480 --> 00:06:54,080 Speaker 2: about the literal expansion of your operations. But with this 129 00:06:54,160 --> 00:06:57,960 Speaker 2: funding round, you know, it's a who's who of investors 130 00:06:57,960 --> 00:07:01,640 Speaker 2: now on the cap table. It's a big raise at 131 00:07:01,680 --> 00:07:04,680 Speaker 2: a premium valuation. How much of that is sort of 132 00:07:04,720 --> 00:07:07,839 Speaker 2: setting the pieces in motion to life eventually as a 133 00:07:07,880 --> 00:07:11,240 Speaker 2: public company. Is that something that you and Dmitri and 134 00:07:11,280 --> 00:07:14,360 Speaker 2: the rest of the leadership plan for or is their 135 00:07:14,400 --> 00:07:16,480 Speaker 2: merit staying as you are now? 136 00:07:17,240 --> 00:07:20,440 Speaker 3: You know, we are just laser focused on execution, you know, 137 00:07:20,600 --> 00:07:25,080 Speaker 3: building way MO to be financially responsible, operationally excellent, and 138 00:07:25,120 --> 00:07:28,320 Speaker 3: then make sure we maintain the safety culture. Like that's 139 00:07:28,320 --> 00:07:31,240 Speaker 3: what we're really focused on. Having this vote of confidence, 140 00:07:31,400 --> 00:07:34,160 Speaker 3: as you said, not only from Alphabet, but from our 141 00:07:34,200 --> 00:07:37,720 Speaker 3: three colleades from this round, and from all of the 142 00:07:37,760 --> 00:07:40,480 Speaker 3: new investors who decided to join our cap table and 143 00:07:40,560 --> 00:07:43,440 Speaker 3: the existing ones who doubled down on their belief that 144 00:07:43,520 --> 00:07:46,520 Speaker 3: this is the right opportunity to fund. And so we 145 00:07:46,640 --> 00:07:50,240 Speaker 3: just feel humbled, but also there's a lot to do. 146 00:07:50,640 --> 00:07:52,640 Speaker 3: So we're just really focused on making sure that we 147 00:07:52,680 --> 00:07:56,520 Speaker 3: can scale, focusing on our two first international launches, you know, 148 00:07:56,640 --> 00:07:59,920 Speaker 3: London and Tokyo, and scaling across the United SCE. 149 00:08:00,960 --> 00:08:02,080 Speaker 1: Let's talk about the growth. 150 00:08:02,600 --> 00:08:05,320 Speaker 2: A lot of people just want to understand in some 151 00:08:05,360 --> 00:08:07,600 Speaker 2: of those cities where people are frustrated because the service 152 00:08:07,640 --> 00:08:10,000 Speaker 2: doesn't exist, what does it take to launch in a 153 00:08:10,040 --> 00:08:13,840 Speaker 2: city to go from mapping that city through to a 154 00:08:13,920 --> 00:08:16,360 Speaker 2: full paid commercial service. 155 00:08:16,800 --> 00:08:21,040 Speaker 3: Yeah, if the regulatory climate of a city is welcoming, 156 00:08:21,720 --> 00:08:25,640 Speaker 3: then if then we can show up and map and 157 00:08:25,760 --> 00:08:28,440 Speaker 3: launch in a couple of months like we did in Miami, right. 158 00:08:28,520 --> 00:08:31,040 Speaker 3: You know that's a city where you know, they were 159 00:08:31,080 --> 00:08:33,600 Speaker 3: welcoming and they were ready and we were ready, and 160 00:08:33,640 --> 00:08:35,400 Speaker 3: so we showed up. You know, we have a fleet 161 00:08:35,400 --> 00:08:38,319 Speaker 3: operating partner, and we were able to launch quite quickly 162 00:08:38,400 --> 00:08:42,079 Speaker 3: after we first arrived. I think in a lot of cities, 163 00:08:42,200 --> 00:08:47,199 Speaker 3: especially cities that are meaningful from a transportation perspective, we're helping, 164 00:08:47,320 --> 00:08:51,440 Speaker 3: we're working engaging with policymakers. You know, we have the 165 00:08:51,480 --> 00:08:56,320 Speaker 3: burden to demonstrate our safety impact. And so with one 166 00:08:56,400 --> 00:09:01,200 Speaker 3: hundred and twenty seven million miles in ninety percent fewer injury, 167 00:09:01,360 --> 00:09:04,560 Speaker 3: serious injury causing crashes or worse, you know, we have 168 00:09:04,679 --> 00:09:07,160 Speaker 3: to educate them on that kind of impact. Eighty two 169 00:09:07,160 --> 00:09:11,880 Speaker 3: percent fewer airbag deployments. You know, this isn't something that 170 00:09:12,000 --> 00:09:15,640 Speaker 3: any fleet based business has been able to come in 171 00:09:15,720 --> 00:09:19,600 Speaker 3: and give policymakers data. So assuming that we can do 172 00:09:19,679 --> 00:09:22,160 Speaker 3: that and then grow trust, and you know, we do 173 00:09:22,240 --> 00:09:25,880 Speaker 3: that by partnering with organizations in markets who have been 174 00:09:25,920 --> 00:09:26,600 Speaker 3: trying to. 175 00:09:26,600 --> 00:09:28,120 Speaker 4: Solve road safety issues. 176 00:09:28,400 --> 00:09:32,600 Speaker 3: They've been trying to expand mobility options for residents, and 177 00:09:32,679 --> 00:09:35,080 Speaker 3: so we partner with them. And then obviously we work 178 00:09:35,160 --> 00:09:38,200 Speaker 3: with law enforcement and first responders to train them on 179 00:09:38,240 --> 00:09:39,560 Speaker 3: horror technology works. 180 00:09:40,600 --> 00:09:43,240 Speaker 2: We do not yet have, although there has been progress 181 00:09:43,280 --> 00:09:47,960 Speaker 2: towards just this week, a federal level framework set of rules. 182 00:09:49,520 --> 00:09:52,840 Speaker 2: What do you think the direction of travel is with that? 183 00:09:53,160 --> 00:09:55,680 Speaker 2: And you know, clearly if you had to deal with 184 00:09:55,720 --> 00:09:57,559 Speaker 2: one set of rules and not a city by city, 185 00:09:57,600 --> 00:10:01,520 Speaker 2: let alone state by state based this or case, you'd 186 00:10:01,559 --> 00:10:03,320 Speaker 2: be making a bit more progress. 187 00:10:03,360 --> 00:10:03,880 Speaker 1: I suppose. 188 00:10:04,320 --> 00:10:06,760 Speaker 3: Yeah, we think it's really important that there is a 189 00:10:06,800 --> 00:10:11,600 Speaker 3: federal av standard. We've been advocating for sort of a 190 00:10:11,640 --> 00:10:15,839 Speaker 3: safety case based approach because the technologies are different, and 191 00:10:15,880 --> 00:10:18,120 Speaker 3: we think that the burdens should be on companies to 192 00:10:18,160 --> 00:10:21,280 Speaker 3: demonstrate why you believe your technology is safe enough. We 193 00:10:21,320 --> 00:10:24,560 Speaker 3: also think there should be transparency requirements. You know, people 194 00:10:24,600 --> 00:10:27,439 Speaker 3: should have to demonstrate how many trips are you providing? 195 00:10:27,640 --> 00:10:30,800 Speaker 4: You know, I don't right now. The balance isn't quite there. 196 00:10:30,880 --> 00:10:33,720 Speaker 3: I mean, some states require a lot of reporting, some 197 00:10:33,760 --> 00:10:35,439 Speaker 3: don't require as much reporting. 198 00:10:35,679 --> 00:10:37,280 Speaker 4: I think the United States has. 199 00:10:37,120 --> 00:10:40,640 Speaker 3: An opportunity with this technology to lead globally, and I 200 00:10:40,760 --> 00:10:43,679 Speaker 3: don't think you can lead globally if it's a framework 201 00:10:43,760 --> 00:10:47,520 Speaker 3: that's governed by multiple jurisdictions across the states. And it's 202 00:10:47,559 --> 00:10:50,760 Speaker 3: a way to slow down the adoption of this technology 203 00:10:50,800 --> 00:10:53,319 Speaker 3: not only in the US but in other markets. 204 00:10:54,160 --> 00:10:57,800 Speaker 2: New York City, New York City, not necessarily New York State. 205 00:10:58,320 --> 00:11:00,680 Speaker 2: A lot of people want to know what's the the 206 00:11:00,760 --> 00:11:05,920 Speaker 2: roadblock there upon the expression and what's the timeline. You know, 207 00:11:06,520 --> 00:11:10,360 Speaker 2: you work closely with the authorities, but that is a 208 00:11:10,360 --> 00:11:11,600 Speaker 2: big potential market. 209 00:11:12,040 --> 00:11:14,160 Speaker 3: Yeah, that's a market where you know, we're just going 210 00:11:14,240 --> 00:11:17,600 Speaker 3: to have to do the work and demonstrate our safety 211 00:11:17,600 --> 00:11:21,240 Speaker 3: outcomes and earn the trust and shizzle away at it 212 00:11:21,360 --> 00:11:21,760 Speaker 3: over time. 213 00:11:21,800 --> 00:11:23,560 Speaker 1: Do they have the rules for you to follow? 214 00:11:24,000 --> 00:11:27,640 Speaker 3: They do not have rules that allow the human operator 215 00:11:27,720 --> 00:11:29,920 Speaker 3: to be removed from vehicle entirely. 216 00:11:29,679 --> 00:11:32,160 Speaker 1: And until that changes, and until that changes. 217 00:11:32,320 --> 00:11:34,920 Speaker 3: But you know, there is an interest in doing this 218 00:11:35,040 --> 00:11:37,400 Speaker 3: in the state, even outside of the city, and that 219 00:11:37,440 --> 00:11:40,840 Speaker 3: gives us an opportunity to grow more fans and fans 220 00:11:40,960 --> 00:11:44,439 Speaker 3: actually are calling for this in cities where our technology 221 00:11:44,440 --> 00:11:48,160 Speaker 3: can't be deployed we are seeing organic campaigns spring up 222 00:11:48,480 --> 00:11:50,439 Speaker 3: saying I want Weimou in my town. 223 00:11:50,559 --> 00:11:50,800 Speaker 4: You know. 224 00:11:51,120 --> 00:11:55,240 Speaker 3: And sometimes it's you know, parents of children who will 225 00:11:55,240 --> 00:11:59,000 Speaker 3: never have driver's license saying like, Okay, this is a 226 00:11:59,080 --> 00:12:02,400 Speaker 3: safer alternati, let's bring it in and let's give these 227 00:12:02,480 --> 00:12:05,400 Speaker 3: children independence. And so it's been really exciting for us 228 00:12:05,440 --> 00:12:08,400 Speaker 3: to see people demanding it, and over time that's going 229 00:12:08,480 --> 00:12:08,800 Speaker 3: to grow. 230 00:12:09,080 --> 00:12:11,440 Speaker 2: Of those twenty cities that are coming this year, New 231 00:12:11,520 --> 00:12:12,959 Speaker 2: York City is not one of them. 232 00:12:13,160 --> 00:12:13,679 Speaker 1: Fastered in. 233 00:12:13,920 --> 00:12:18,360 Speaker 2: No, that's right, that's Waimo, co CEO t Quidra Malicana. 234 00:12:18,520 --> 00:12:21,200 Speaker 2: I met Ludlow, and you're listening to a special bonus 235 00:12:21,240 --> 00:12:24,760 Speaker 2: episode of Bloomberg Tech. We'll have more on Weymo's future 236 00:12:24,800 --> 00:12:33,560 Speaker 2: with the company's co CEO right after this. Thanks for 237 00:12:33,640 --> 00:12:36,960 Speaker 2: listening to this special edition of Bloomberg Tech. I met Ludlow. 238 00:12:37,160 --> 00:12:40,240 Speaker 2: Now here's more of my conversation with Weimo co ceo 239 00:12:40,600 --> 00:12:42,120 Speaker 2: Tequidra Malicana. 240 00:12:43,480 --> 00:12:46,600 Speaker 1: San Francisco. The Bay Area is my home. 241 00:12:47,360 --> 00:12:50,120 Speaker 2: London's where I grew up, and I was studying the 242 00:12:50,120 --> 00:12:54,080 Speaker 2: map of the Burroughs that you proposed to launch in 243 00:12:54,640 --> 00:12:56,880 Speaker 2: and you correct me if my math is wrong. But 244 00:12:57,120 --> 00:13:00,319 Speaker 2: just based on those burroughs at launch, this seems to 245 00:13:00,360 --> 00:13:04,560 Speaker 2: be the biggest citywide deployment from the start that you 246 00:13:04,559 --> 00:13:05,400 Speaker 2: guys will have done. 247 00:13:05,960 --> 00:13:06,840 Speaker 1: Is that correct? 248 00:13:08,840 --> 00:13:10,360 Speaker 4: It possibly, it's correct. 249 00:13:10,360 --> 00:13:12,840 Speaker 3: I mean we're in the phases of figuring out the 250 00:13:12,920 --> 00:13:16,640 Speaker 3: specifics around the launch and figuring out the actual framework 251 00:13:16,679 --> 00:13:18,720 Speaker 3: around the launch, and so I don't want to speak 252 00:13:18,720 --> 00:13:20,520 Speaker 3: to you definitively about what we're going to do. 253 00:13:21,000 --> 00:13:23,280 Speaker 4: But what you're speaking to is we're. 254 00:13:23,080 --> 00:13:26,240 Speaker 3: Not gated by the technology, right, and we have the 255 00:13:26,320 --> 00:13:28,800 Speaker 3: appetite to scale, and we want to partner and do 256 00:13:28,960 --> 00:13:31,960 Speaker 3: so safely, and we want to earn trust. So that's 257 00:13:32,000 --> 00:13:33,920 Speaker 3: like there's a lot of levers there that we have 258 00:13:34,040 --> 00:13:36,560 Speaker 3: to figure out how to strike the right balance and 259 00:13:36,600 --> 00:13:38,640 Speaker 3: how to make sure that we're introducing it to the 260 00:13:38,640 --> 00:13:40,520 Speaker 3: community both to meet the demand. 261 00:13:40,600 --> 00:13:43,040 Speaker 2: And I asked because of those twenty cities to come, 262 00:13:43,120 --> 00:13:46,719 Speaker 2: London is one, yes, and London is now outside of 263 00:13:46,760 --> 00:13:48,960 Speaker 2: the European Union, but it's you know, it's kind of 264 00:13:48,960 --> 00:13:49,920 Speaker 2: your europe launch. 265 00:13:50,080 --> 00:13:52,120 Speaker 1: Yes, what was that experience like? 266 00:13:52,320 --> 00:13:56,920 Speaker 2: Within London's regulatory framework and the UK's regulatory framework. 267 00:13:56,640 --> 00:14:01,120 Speaker 3: They've been extremely forward leaning and interested in seeing how 268 00:14:01,160 --> 00:14:04,840 Speaker 3: this technology could actually improve safety on their roadways. And 269 00:14:04,880 --> 00:14:06,800 Speaker 3: that's where I think, you know, we find a sweet 270 00:14:06,840 --> 00:14:11,800 Speaker 3: spot when people are less sort of complacent about the 271 00:14:11,800 --> 00:14:14,520 Speaker 3: status quo. And I think there's a lot of complacency 272 00:14:14,720 --> 00:14:17,560 Speaker 3: about road depths forty thousand or one point two million globally, 273 00:14:18,679 --> 00:14:21,400 Speaker 3: and when there isn't, I think people are actively interested 274 00:14:21,400 --> 00:14:25,080 Speaker 3: in solutions and then they want to figure out, of course, 275 00:14:25,520 --> 00:14:27,960 Speaker 3: what are the things they need to think through and learn. 276 00:14:27,760 --> 00:14:30,960 Speaker 2: Well, pricing, for one, like London has take the Bus, Yes, 277 00:14:31,040 --> 00:14:34,640 Speaker 2: London has take the Tube. London is prepared to sort 278 00:14:34,640 --> 00:14:38,520 Speaker 2: of pay for a robot taxi service that's equivalent to 279 00:14:38,600 --> 00:14:42,080 Speaker 2: a human driven cab Black Cab in London or Uber 280 00:14:42,120 --> 00:14:42,560 Speaker 2: and left. 281 00:14:43,040 --> 00:14:47,280 Speaker 3: Yes, I yes, people are there's you know, obviously before 282 00:14:47,320 --> 00:14:50,000 Speaker 3: we go in, we do a lot of polling, We 283 00:14:50,040 --> 00:14:52,760 Speaker 3: meet with a lot of residents as well as advocates, 284 00:14:53,280 --> 00:14:54,280 Speaker 3: and people. 285 00:14:54,040 --> 00:14:57,240 Speaker 4: Are people want safe private spaces. 286 00:14:57,880 --> 00:15:01,040 Speaker 3: It adds to their day versus becoming time that they 287 00:15:01,160 --> 00:15:03,360 Speaker 3: lose in the day, and so it's a you know, 288 00:15:03,400 --> 00:15:07,479 Speaker 3: the thing that's been most exciting is once we introduce 289 00:15:07,560 --> 00:15:11,920 Speaker 3: the way most service into a citiescape, people discover things 290 00:15:11,960 --> 00:15:14,880 Speaker 3: they didn't think they could have, like that hour a 291 00:15:14,960 --> 00:15:17,640 Speaker 3: day in the morning, and that by yourself to get 292 00:15:17,640 --> 00:15:18,280 Speaker 3: something done. 293 00:15:18,520 --> 00:15:21,480 Speaker 4: People have just sacrificed it. Yes, and whether that's on. 294 00:15:21,440 --> 00:15:24,240 Speaker 3: Transit or whether that's it doesn't matter, and we're not 295 00:15:24,400 --> 00:15:26,520 Speaker 3: you know, people want to take transit. That's great because 296 00:15:26,520 --> 00:15:28,760 Speaker 3: you can also sit there, just can't sit there maybe 297 00:15:28,840 --> 00:15:31,480 Speaker 3: until your call on quiet. And so this is something 298 00:15:31,520 --> 00:15:33,840 Speaker 3: that we're hearing from writers all the time. I didn't 299 00:15:33,880 --> 00:15:35,680 Speaker 3: know that I needed this the way that I needed that. 300 00:15:36,000 --> 00:15:40,520 Speaker 2: Asia Pacific is also somewhere that is it varies by country, 301 00:15:40,560 --> 00:15:43,360 Speaker 2: but that robot taxis are embraced. You are looking very 302 00:15:43,400 --> 00:15:47,240 Speaker 2: closely at Japan. Yes, what do you see in the 303 00:15:47,280 --> 00:15:50,400 Speaker 2: Japanese market? Of course, you're very closely ligned with Toyota 304 00:15:50,520 --> 00:15:53,640 Speaker 2: as a partner, you know, almost a national champion for 305 00:15:53,680 --> 00:15:57,920 Speaker 2: them in the automotive space. Does your hope of launching 306 00:15:57,960 --> 00:16:01,200 Speaker 2: their go beyond Toyota? Is it in nate by Toyota? 307 00:16:01,520 --> 00:16:03,920 Speaker 2: And again, we have a lot of viewers in that 308 00:16:04,000 --> 00:16:05,720 Speaker 2: country who just want to know when. 309 00:16:05,960 --> 00:16:10,160 Speaker 3: Yes, yes, When we first thought about Tokyo Japan, we 310 00:16:10,240 --> 00:16:13,080 Speaker 3: thought about Tokyo right, And when we first thought about Tokyo, 311 00:16:13,320 --> 00:16:16,600 Speaker 3: we decided to partner with Neon Kotsu and go. And 312 00:16:16,640 --> 00:16:20,280 Speaker 3: that's because that, you know, the cab are such an 313 00:16:20,280 --> 00:16:24,040 Speaker 3: integral part of life there culturally as well culturally exactly. 314 00:16:24,560 --> 00:16:26,720 Speaker 3: And so what that's allowed us to do is we 315 00:16:26,760 --> 00:16:29,560 Speaker 3: have a fleet of vehicles there and the drivers of 316 00:16:29,600 --> 00:16:32,240 Speaker 3: those vehicles are part of that partnership. You know, they're 317 00:16:32,280 --> 00:16:35,520 Speaker 3: collecting the data for us, and so they're like helping 318 00:16:35,560 --> 00:16:38,480 Speaker 3: to usher in this change. There will still be cabs 319 00:16:38,520 --> 00:16:41,400 Speaker 3: for a long time, and there will be an introduction 320 00:16:41,480 --> 00:16:45,120 Speaker 3: of autonomous vehicles, and so finding partners, like you said, 321 00:16:45,240 --> 00:16:48,160 Speaker 3: national champions who can help us navigate not only are 322 00:16:48,160 --> 00:16:51,280 Speaker 3: the regulatory climate, but who already have that trust of 323 00:16:51,400 --> 00:16:54,440 Speaker 3: riders and who can help us educate riders that this 324 00:16:54,680 --> 00:16:58,160 Speaker 3: isn't like something they are not welcoming. It's actually something 325 00:16:58,200 --> 00:17:01,360 Speaker 3: they're quite excited about seeing too. Become a city of 326 00:17:01,360 --> 00:17:02,840 Speaker 3: the future from a transfert. 327 00:17:02,480 --> 00:17:05,480 Speaker 2: That is a market where the rules exist for you 328 00:17:05,720 --> 00:17:09,000 Speaker 2: to through partners or otherwise, but to charge a fair 329 00:17:09,200 --> 00:17:11,879 Speaker 2: and have a real business, even if modest at first. 330 00:17:12,000 --> 00:17:14,720 Speaker 4: That's exactly right, and of course it's something we've helped shape. 331 00:17:15,000 --> 00:17:15,240 Speaker 1: Right. 332 00:17:15,440 --> 00:17:20,920 Speaker 3: You know, there's most places contemplated drivers around the world, 333 00:17:20,960 --> 00:17:23,760 Speaker 3: right I mean that's the way laws, whether it's fifty 334 00:17:23,800 --> 00:17:25,479 Speaker 3: years ago or one hundred years ago. I mean they 335 00:17:25,480 --> 00:17:29,400 Speaker 3: were sort of written to regulate automobiles, and automobiles were 336 00:17:29,400 --> 00:17:33,400 Speaker 3: presumed to be driven by people. And so most places 337 00:17:33,440 --> 00:17:36,399 Speaker 3: we have to think through what needs to change in 338 00:17:36,440 --> 00:17:38,640 Speaker 3: the laws, and then if people are willing to work 339 00:17:38,680 --> 00:17:40,480 Speaker 3: with us on that, then we work with them to 340 00:17:40,560 --> 00:17:40,879 Speaker 3: change it. 341 00:17:40,920 --> 00:17:42,520 Speaker 4: And so in Japan we have a path forward. 342 00:17:42,920 --> 00:17:46,960 Speaker 2: Around the world, the sort of robotaxi race is framed 343 00:17:47,000 --> 00:17:50,640 Speaker 2: in US companies against Chinese technology companies, right. 344 00:17:50,680 --> 00:17:51,240 Speaker 1: I think this is. 345 00:17:51,160 --> 00:17:53,320 Speaker 2: Something that Weymo and some of Weimo's executives have been 346 00:17:53,400 --> 00:17:57,880 Speaker 2: kind of candid about this past week in testimony. How 347 00:17:57,880 --> 00:18:01,240 Speaker 2: do you see that playing out you For example, with Toyota, 348 00:18:01,640 --> 00:18:04,639 Speaker 2: you have a partner who also in common work with 349 00:18:04,680 --> 00:18:08,800 Speaker 2: Ponyai as an example. It's something you must be conscious 350 00:18:08,840 --> 00:18:11,439 Speaker 2: of in markets where you want to expend outside of 351 00:18:11,440 --> 00:18:12,560 Speaker 2: America in particular. 352 00:18:13,040 --> 00:18:17,679 Speaker 3: Yes, in general, if there are other companies focused on 353 00:18:18,160 --> 00:18:22,840 Speaker 3: autonomous driving to make roadsafer, we think that's positive, Like 354 00:18:22,960 --> 00:18:26,080 Speaker 3: that is a positive thing. We should have competition around 355 00:18:26,280 --> 00:18:29,480 Speaker 3: saving lives, and so that's a good thing. I think 356 00:18:29,880 --> 00:18:32,080 Speaker 3: what we don't spend a lot of time thinking about 357 00:18:32,320 --> 00:18:35,840 Speaker 3: is how everyone is thinking about how to pursue partnerships. 358 00:18:35,920 --> 00:18:39,040 Speaker 3: Right now, we're just laser focused on our strategy. We're 359 00:18:39,080 --> 00:18:41,520 Speaker 3: the only company that is offering a twenty four x 360 00:18:41,640 --> 00:18:46,399 Speaker 3: seven service across six markets in the US, with ambitions 361 00:18:46,400 --> 00:18:49,800 Speaker 3: to be in many more this year and launch internationally. 362 00:18:50,480 --> 00:18:53,960 Speaker 3: And you know, we've driven over two hundred almost two 363 00:18:54,080 --> 00:18:59,400 Speaker 3: hundred million fully autonomous miles, and we're driving over four 364 00:18:59,480 --> 00:19:02,560 Speaker 3: million miles per week, and so that's if you think 365 00:19:02,600 --> 00:19:07,399 Speaker 3: about it, that's over six human lifetimes every seven days. 366 00:19:08,000 --> 00:19:11,399 Speaker 3: And so our driver is learning at a rapid piece. 367 00:19:11,960 --> 00:19:14,680 Speaker 3: So we don't think there's anyone who's doing anything close 368 00:19:14,720 --> 00:19:16,760 Speaker 3: to what we're doing, and so for us, it's just 369 00:19:16,760 --> 00:19:18,560 Speaker 3: staying focused on our own ambitions. 370 00:19:18,920 --> 00:19:22,920 Speaker 2: Safety, there are still concerns, and in January in particular, 371 00:19:23,119 --> 00:19:27,639 Speaker 2: there's two kind of again case studies of regulatory scrutiny, 372 00:19:27,840 --> 00:19:30,679 Speaker 2: right of two specific incidents. I think it's important for 373 00:19:30,720 --> 00:19:33,600 Speaker 2: both of them. I take time in putting it to 374 00:19:33,640 --> 00:19:36,040 Speaker 2: you and explain to you. But in the case of 375 00:19:36,080 --> 00:19:39,760 Speaker 2: the Santa Monica incident, for example, a way more vehicle 376 00:19:41,040 --> 00:19:45,160 Speaker 2: struck or collided with a child, but the system detected 377 00:19:45,200 --> 00:19:50,719 Speaker 2: the child, it breaked sharply, and at the point that 378 00:19:50,880 --> 00:19:53,439 Speaker 2: the impact was made, it was a speed of single 379 00:19:53,440 --> 00:19:57,240 Speaker 2: digits miles per hourly six It had been traveling at seventeen. 380 00:19:57,359 --> 00:20:02,200 Speaker 2: So in that instance the the system worked, but a 381 00:20:02,280 --> 00:20:06,639 Speaker 2: probe was opened. Just would you reflect on that. But also, 382 00:20:06,760 --> 00:20:10,880 Speaker 2: you know, my interpretation of what weaimos publicly stayed about 383 00:20:10,920 --> 00:20:13,040 Speaker 2: this is that you actually kind of welcome the opportunity 384 00:20:13,080 --> 00:20:16,199 Speaker 2: to open up the system to the regulators, let them 385 00:20:16,240 --> 00:20:16,679 Speaker 2: look at it. 386 00:20:17,000 --> 00:20:21,120 Speaker 3: Yes, so, first and foremost, this was a child, and 387 00:20:21,240 --> 00:20:25,240 Speaker 3: we are extremely happy that she walked away from this incident, 388 00:20:26,160 --> 00:20:29,399 Speaker 3: as you said, because there's you know, an investigation depending, 389 00:20:29,440 --> 00:20:31,040 Speaker 3: we thought it was important to become a party to 390 00:20:31,080 --> 00:20:34,720 Speaker 3: the investigation, and so we're doing that. And as we've 391 00:20:34,760 --> 00:20:38,760 Speaker 3: already stated, you know, our car was traveling sixteen miles 392 00:20:38,760 --> 00:20:40,000 Speaker 3: per seventeen miles per hour. 393 00:20:40,280 --> 00:20:42,359 Speaker 4: We did detect her, you know. 394 00:20:42,320 --> 00:20:46,760 Speaker 3: Coming between from behind a tall suv into the roadway. 395 00:20:47,000 --> 00:20:51,639 Speaker 3: We heartbreaked and we made contact and at six miles 396 00:20:51,640 --> 00:20:55,080 Speaker 3: an hour. And we also determined and our human equivalent 397 00:20:55,160 --> 00:20:58,400 Speaker 3: model that human would not have been able to perform 398 00:20:58,600 --> 00:21:02,520 Speaker 3: as our superhuman driver performed. And so this is an 399 00:21:02,520 --> 00:21:05,520 Speaker 3: example we believe of exactly. 400 00:21:05,160 --> 00:21:06,159 Speaker 4: Why we do what we do. 401 00:21:06,280 --> 00:21:08,919 Speaker 3: We want to make roads safer, and we welcome the 402 00:21:08,960 --> 00:21:12,200 Speaker 3: opportunity to cooperate with the NTSB and this investigation. 403 00:21:12,560 --> 00:21:16,359 Speaker 2: Separately, safety investigators are looking at the issue of how 404 00:21:16,400 --> 00:21:21,320 Speaker 2: the WEIMO interacts with parked school buses. This seems to 405 00:21:21,359 --> 00:21:25,600 Speaker 2: be sort of a separate technical challenge. And what is 406 00:21:25,640 --> 00:21:29,400 Speaker 2: that about. Why is it that the weaiymos system has 407 00:21:29,480 --> 00:21:32,800 Speaker 2: to I guess struggles with is the is the headline 408 00:21:32,800 --> 00:21:35,720 Speaker 2: that came out, but with a parked vehicle of that 409 00:21:35,880 --> 00:21:38,680 Speaker 2: size in a school zone of course, where you have 410 00:21:38,800 --> 00:21:41,160 Speaker 2: mixed foot traffic of children in particular. 411 00:21:41,880 --> 00:21:44,800 Speaker 3: Yeah, I think you know, first and foremost, with safety 412 00:21:44,800 --> 00:21:47,520 Speaker 3: being our priority, how we perform around school buses and 413 00:21:47,640 --> 00:21:51,439 Speaker 3: children is a top priority for our company. You know, 414 00:21:51,520 --> 00:21:56,760 Speaker 3: we've already addressed this situation with a software release, which 415 00:21:56,800 --> 00:21:57,719 Speaker 3: is really important to us. 416 00:21:58,040 --> 00:21:59,920 Speaker 4: But also we partnered with the US. 417 00:22:00,000 --> 00:22:02,800 Speaker 3: An independent school district, Yes, to look at data they 418 00:22:02,840 --> 00:22:05,359 Speaker 3: have so we can make sure that we are learning 419 00:22:05,400 --> 00:22:08,359 Speaker 3: from what they have. You know, their data obviously would 420 00:22:08,359 --> 00:22:11,640 Speaker 3: be more based on human driven vehicles, but still having 421 00:22:11,720 --> 00:22:14,320 Speaker 3: that opportunity to learn is really important to us. And 422 00:22:14,359 --> 00:22:17,960 Speaker 3: then once again, we have agreed with the NTSB to 423 00:22:18,000 --> 00:22:20,280 Speaker 3: be a party to this investigation because we think it's 424 00:22:20,280 --> 00:22:23,280 Speaker 3: important for us to understand for them to understand what 425 00:22:23,280 --> 00:22:26,960 Speaker 3: we're seeing, because we also have a lot of awareness 426 00:22:27,160 --> 00:22:29,000 Speaker 3: around the school buses. 427 00:22:30,000 --> 00:22:33,320 Speaker 2: If we call that an edge case interaction with the 428 00:22:33,320 --> 00:22:37,600 Speaker 2: school bus. That software fix that you talked about, is 429 00:22:37,680 --> 00:22:39,679 Speaker 2: it a total fix? In other words, there's way more 430 00:22:39,800 --> 00:22:43,600 Speaker 2: believe it's now solved that technical challenge. 431 00:22:43,800 --> 00:22:46,159 Speaker 3: I don't think we can think of it as a 432 00:22:46,160 --> 00:22:50,320 Speaker 3: single thing, okay, and I want to be super respectful 433 00:22:50,359 --> 00:22:53,400 Speaker 3: of the investigation here and so, but I don't think 434 00:22:53,440 --> 00:22:55,720 Speaker 3: we should think of it as a thing because you know, 435 00:22:55,880 --> 00:22:59,359 Speaker 3: there are angles, there are times they're not all parked, 436 00:22:59,400 --> 00:23:02,680 Speaker 3: and so I think we should let the investigation play 437 00:23:02,680 --> 00:23:06,000 Speaker 3: out and then happy to talk to you afterwards. 438 00:23:06,560 --> 00:23:09,119 Speaker 2: There was a big sort of technological development which was 439 00:23:09,160 --> 00:23:14,600 Speaker 2: with GENI three, you know, the use of simulation. How 440 00:23:14,680 --> 00:23:18,080 Speaker 2: much has that kind of accelerated that the technology development 441 00:23:18,400 --> 00:23:20,359 Speaker 2: side of what Weimo's doing of late. 442 00:23:21,240 --> 00:23:24,840 Speaker 3: I think it's really exciting for us and something that 443 00:23:24,880 --> 00:23:30,399 Speaker 3: we continue to partner with the research teams. But really 444 00:23:30,440 --> 00:23:32,800 Speaker 3: our acceleration hasn't been dependent on. 445 00:23:32,760 --> 00:23:37,879 Speaker 2: That WEIMO has always talked about safety in the context 446 00:23:37,880 --> 00:23:46,520 Speaker 2: of redundancy. Right, it's a multisensor suite around the vehicle, camera, vision, lider, radar, 447 00:23:47,800 --> 00:23:51,760 Speaker 2: Tesla's approach, and they are at much smaller scale, especially 448 00:23:51,840 --> 00:23:55,160 Speaker 2: in the vehicles that no longer have a safety supervisor. 449 00:23:55,840 --> 00:23:59,399 Speaker 2: Is a vision only approached when you are trying to 450 00:23:59,440 --> 00:24:03,640 Speaker 2: scale in all of these cities? Is the different technology 451 00:24:03,960 --> 00:24:07,679 Speaker 2: Are the different technology approaches something that worry you based 452 00:24:07,680 --> 00:24:11,359 Speaker 2: on your belief of the kind of redundancy that's required. 453 00:24:12,920 --> 00:24:15,480 Speaker 3: No, it doesn't worry me. We have a lot of 454 00:24:15,560 --> 00:24:16,840 Speaker 3: conviction about our approach. 455 00:24:17,200 --> 00:24:17,400 Speaker 1: Right. 456 00:24:18,080 --> 00:24:21,119 Speaker 3: Our approach is what allowed us in October of twenty 457 00:24:21,160 --> 00:24:24,399 Speaker 3: twenty to remove the human driver from behind the wheel, 458 00:24:24,880 --> 00:24:27,480 Speaker 3: and it's what's allowed us to be the only company 459 00:24:27,560 --> 00:24:30,000 Speaker 3: to scale to over four hundred thousand trips per week. 460 00:24:31,320 --> 00:24:33,840 Speaker 3: If you can see and smell, and taste, in touch 461 00:24:33,880 --> 00:24:37,439 Speaker 3: and have all of your senses, why wouldn't you, And 462 00:24:37,760 --> 00:24:40,840 Speaker 3: especially with a safety critical function, we think it is 463 00:24:41,040 --> 00:24:44,800 Speaker 3: very important in the early days, especially to make sure 464 00:24:44,840 --> 00:24:48,040 Speaker 3: you're taking in as much data as possible to inform 465 00:24:48,080 --> 00:24:52,600 Speaker 3: the models and then to achieve the outcomes. And you know, 466 00:24:52,840 --> 00:24:55,639 Speaker 3: then we can all debate. You know how you go 467 00:24:55,800 --> 00:24:58,840 Speaker 3: forward from there. But this has been critical to our 468 00:24:58,880 --> 00:25:01,480 Speaker 3: approach and it's allowed us to scale, and it's allowed 469 00:25:01,520 --> 00:25:05,159 Speaker 3: us to achieve these safety results of ninety percent fewer 470 00:25:05,560 --> 00:25:09,399 Speaker 3: serious injury causing crashes, and that is how you evaluate 471 00:25:09,440 --> 00:25:12,000 Speaker 3: whether or not this approach is working. And I know 472 00:25:12,040 --> 00:25:14,800 Speaker 3: there's a lot of discussion around costs, right, especially. 473 00:25:14,480 --> 00:25:16,680 Speaker 2: When you think about economics at scale. 474 00:25:16,400 --> 00:25:19,159 Speaker 3: The economics at scale, So of course we're laser focused 475 00:25:19,200 --> 00:25:21,080 Speaker 3: on bringing these costs down. If you have to bring 476 00:25:21,119 --> 00:25:24,240 Speaker 3: the cost down once you achieve the safety because how 477 00:25:24,280 --> 00:25:27,280 Speaker 3: else do you actually know what the investment model for 478 00:25:27,359 --> 00:25:30,600 Speaker 3: the businesses if you haven't actually achieved the safety bar. 479 00:25:30,920 --> 00:25:33,440 Speaker 3: And so that's what we're focused on. Achieving the safety bar. 480 00:25:33,760 --> 00:25:35,480 Speaker 3: Now we can drive the cost down because we know. 481 00:25:35,480 --> 00:25:36,080 Speaker 4: What it takes. 482 00:25:36,760 --> 00:25:39,600 Speaker 2: So let's end by me asking you this in case 483 00:25:39,640 --> 00:25:41,800 Speaker 2: I don't speak to you for another year. In a 484 00:25:41,880 --> 00:25:46,359 Speaker 2: year's time, what are the metrics by which you, as 485 00:25:46,400 --> 00:25:49,679 Speaker 2: a leader in this company, will have judged success. You 486 00:25:49,680 --> 00:25:52,840 Speaker 2: know you plan to launch in twenty cities, but you 487 00:25:52,880 --> 00:25:56,879 Speaker 2: often point to different safety metrics and the miles driven internally. 488 00:25:56,960 --> 00:25:59,000 Speaker 2: What are you going to be holding the teams to 489 00:25:59,119 --> 00:25:59,600 Speaker 2: account on. 490 00:26:00,480 --> 00:26:02,760 Speaker 3: By the end of twenty twenty six, we will be 491 00:26:02,840 --> 00:26:06,720 Speaker 3: doing over one million trips per week, and we will 492 00:26:06,760 --> 00:26:08,320 Speaker 3: be doing that across a host of. 493 00:26:08,359 --> 00:26:10,280 Speaker 1: US paid trips paid trips. 494 00:26:10,400 --> 00:26:13,880 Speaker 3: We only talk about paid trips, and so we will 495 00:26:13,880 --> 00:26:17,120 Speaker 3: be doing over one million paid trips per week by 496 00:26:17,119 --> 00:26:18,080 Speaker 3: the end of this year. 497 00:26:18,160 --> 00:26:20,840 Speaker 1: And that's the measurement of success in the near tim It's. 498 00:26:20,760 --> 00:26:24,040 Speaker 3: One of them, I think do having the safety culture 499 00:26:25,200 --> 00:26:27,080 Speaker 3: that we've had within the company. 500 00:26:27,359 --> 00:26:30,760 Speaker 4: It permeates through the data, but it starts. 501 00:26:30,320 --> 00:26:33,920 Speaker 3: With how we are so disciplined about what we do 502 00:26:34,040 --> 00:26:36,200 Speaker 3: and how we do it. It matters a lot to us, 503 00:26:36,520 --> 00:26:38,840 Speaker 3: and so making sure that we have that culture intact, 504 00:26:38,960 --> 00:26:40,760 Speaker 3: I think is the other way that we will continue 505 00:26:40,800 --> 00:26:42,639 Speaker 3: to measure our success. 506 00:26:43,200 --> 00:26:46,240 Speaker 2: That's way more co Ceo ta Keidra Malcana and that 507 00:26:46,359 --> 00:26:49,240 Speaker 2: does it. For this special bonus episode of Bloomberg Tech. 508 00:26:49,640 --> 00:26:52,719 Speaker 2: Find us on all your favorite podcast platforms and subscribe 509 00:26:52,960 --> 00:26:55,600 Speaker 2: so you never miss an episode. And catch our live 510 00:26:55,640 --> 00:26:59,160 Speaker 2: show every Monday through Friday at eleven am easton eight 511 00:26:59,200 --> 00:27:01,480 Speaker 2: am Pacific on Bloomberg Television. 512 00:27:01,800 --> 00:27:02,600 Speaker 1: I met Ludlow. 513 00:27:02,720 --> 00:27:05,240 Speaker 2: Thanks for listening, and this is Bloomberg