All-In with Chamath, Jason, Sacks & Friedberg - Uber CEO Dara Khosrowshahi on self-driving's future, changing business model, job displacement

Episode Date: September 17, 2025

(0:00) Introducing Uber CEO Dara Khosrowshahi (0:59) Uber’s self-driving business: partnerships, market size, LiDAR vs computer vision, safety, distribution (8:14) How self-driving impacts Uber’s ...business model over time (13:30) Other forms of transportation Uber could provide (16:09) $20B stock buyback plan vs. investing in R&D and acquisitions, future of food (21:03) Dara’s pitch to Elon for bringing Tesla Robotaxis into Uber’s network (22:31) How Uber thinks about driver job displacement from self-driving Thanks to our partners for making this happen! Solana - Solana is the high performance network powering internet capital markets, payments, and crypto applications. Connect with investors, crypto founders, and entrepreneurs at Solana’s global flagship event during Abu Dhabi Finance Week & F1: https://solana.com/breakpoint OKX - The new way to build your crypto portfolio and use it in daily life. We call it the new money app. https://www.okx.com/ Google Cloud - The next generation of unicorns is building on Google Cloud's industry-leading, fully integrated AI stack: infrastructure, platform, models, agents, and data. https://cloud.google.com/ IREN - IREN AI Cloud, powered by NVIDIA GPUs, provides the scale, performance, and reliability to accelerate your AI journey. https://iren.com/ Oracle - Step into the future of enterprise productivity at Oracle AI Experience Live. https://www.oracle.com/artificial-intelligence/data-ai-events/ Circle - The America-based company behind USDC — a fully-reserved, enterprise-grade stablecoin at the core of the emerging internet financial system. https://www.circle.com/ BVNK - Building stablecoin-powered financial infrastructure that helps businesses send, store, and spend value instantly, anywhere in the world. https://www.bvnk.com/ Polymarket: https://www.polymarket.com/ Follow Dara: https://x.com/dkhos Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg 

Transcript
Discussion (0)
Starting point is 00:00:00 The driving force behind one of America's most influential companies. Record high today for Uber. 100% up last year. Waymo and Uber have announced a partnership when you have a CEO that's done what Dara has done, you set the bar higher and higher. The impact we have on society is significant. We hope to keep building on that impact going forward, and I'm quite optimistic about what the future is going to bring.
Starting point is 00:00:24 Ladies and gentlemen, please welcome Uber's CEO, Dara Khazer Shahi. All right. Darra, I wasn't sure if you were aware, but I was an early investor in Uber. I've heard you say it once or twice. And I'm curious how my investment's doing. I don't know.
Starting point is 00:00:54 Okay, based on today. Today's looking pretty good. So autonomy is the discussion I think everybody wants to have in the timeline. How many partners does Uber have in autonomy today? So we have over 20 partners across both mobility and the delivery business. I'd say mobility now is in the field as we speak. Obviously we've got a partnership with Waymo who is, I think, the best of the best in Atlanta and Austin, but there are a number of other players that we are partnered with,
Starting point is 00:01:32 a number of Chinese players, autonomy in China is hitting the big time, and a lot of these companies that want to expand outside of China we're partnering with. And then in the U.S., even in the second half of this year, we will have a couple of partnerships kind of hit the road in Texas, and then in Europe and the rest of the world. So you will see, we've announced a bunch partnerships we're doing a ton of work with these partners you'll see these cars hit the road with safety drivers eventually and the safety drivers will come out this year and then especially going to next year we're going to have significant number of cars on the road how many people in China have level four no safety driver today and what's your assessment of those companies and their
Starting point is 00:02:16 safety record you know it's a different market obviously so there are bydo we ride pony are all on the road today, no safety driver. We are partners with all of them. Their capabilities are amazing. You can imagine driving in China in these big cities is quite a complex undertaking. They take safety just as seriously as the Western companies do.
Starting point is 00:02:42 So I think their safety record is excellent. Ultimately, we think autonomous can be both superhuman in terms of safety and can save millions of lives over the course of time on the road. and over per time, as the cost of especially the hardware stack comes down, we think that it can bring the cost of mobility down and make mobility on demand available to many, many more people than it is now. So it's going to be a very big kind of market expander for us.
Starting point is 00:03:12 So that was the debate, Dara, that maybe kind of exploded a little bit on X between you and Elon were you guys, I mean, very respectfully just debating the pros and the cons, maybe just set it up for the folks in the audience, the difference between Elon's approach and the Waymo approach and maybe the relative pros and cons as you see it. Yeah, I mean, I think they're the ones building the cars. So I'm to some extent a very, very, very interested bystander. But the way that I put it is Elon's approach depends on excellent software
Starting point is 00:03:47 to do a bunch of the heavy lifting in that there are some, you know, early on whenever you're building product, there may be some cheat codes that you undertake. So for example, you could call it cheat codes or, you know, good engineering. Some of the things you see in early systems is one is camera, radar, light or so multiple sensors, redundancy on the sensor stack to make sure that your perception algos are seeing the world as it really is. Elon is doing camera only. Puffer on the software, cheaper for the hardware, okay? Second, I would say big difference is many of the players use HD maps.
Starting point is 00:04:31 And what HD maps do is, is essentially you map out an area so that it's much easier for the software to determine what are permanent aspects of a certain view, you know, the lines on the road, traffic lights, etc. Because of the HD maps, it's very, very easy for that piece of software to determine what's permanent, and then what's impermanent, vehicles, people, etc. So it makes the job of the software much easier to figure out what's going on and then determine what to do. Elon's approach doesn't depend on HD maps, and again, it makes the job of software harder. And then the other, I would say, significant factor is the compute. So when you look at the compute and many of the other players, the compute in terms of flops and memory, et cetera,
Starting point is 00:05:24 in the back of the car. A car is pretty expensive, pretty extensive. And I think Tesla's approach is with a much tighter compute stack. Do you see a world where you try to pour your distribution into all those solutions, assuming that everybody's amenable to working with you, and it meets your threshold for what you're looking for, safety or cost? Exactly. I'd say safety comes number one.
Starting point is 00:05:50 So we have a certain safety case that we want to make sure that our partners adhere to or exceed. And it's sorry, just about, is that an e-val or is that like, is that certain rates that they have to publish to you or how do they demonstrate to you? It's, it's the technical approach and the eval together. And listen, it is a dialogue, right? Because different people take different approaches to safety. We want to make sure that if it's showing up on the Uber platform, it is as safe as it can be. And our different definition of safety is multiple.
Starting point is 00:06:20 time safer than a human being, which is achievable. Waymo is showing that it's achievable. Many of the Chinese players are showing that it's achievable as well. So if it meets our safety criteria and the economics are attractive and the economics as the cost of hardware comes down, you know, LiDAR was 20, 30,000 bucks a pop like five, six years ago. Now solid state, LiDAR is 300 to 500 bucks a pop. So the cost of hardware is coming way down. It is going to need to continue to come down because these cars are very expensive, then we'll do business with them. We want to be the platform and we want to essentially help the entire AV ecosystem thrive. And we think there's enough economics for the network player to have a great
Starting point is 00:07:09 business and the software providers and the vehicle owners to have a great business. And then obviously there's fleet operations in terms of housing, the cars, reaching. charging the cars, you know, all of the kind of in the world work that's necessary as well. When you, you're going to get to a tipping point, I'm going to assume, in driver miles, let's say, where one of the most interesting things that I've thought of is, could you tell a city how it should actually be designed for optimal traffic? So we work, I wouldn't say for optimal traffic, I think, theoretically it's possible, but, you know, a Google could, there are lots of other players
Starting point is 00:07:55 who can help with that, but we're certainly helping cities in terms of where you should put charging infrastructure, for example, parking, drop-offs, et cetera, to help traffic flows. I think we can be a partner for cities, and we do have a small operation where essentially we offer our data for free for cities to embark on city planning, so to speak. Do they take it? Some do. Some of the more sophisticated cities take it, but I wouldn't call it a big part of our business. So, Darry, I want to ask you about the business model impact of basically robo-taxies or self-driving. In the old world, Uber's network effect was a marketplace effect where you connected drivers and riders.
Starting point is 00:08:41 And if you had the most geographic density in an area, then you could promise riders' faster, and the drivers got higher utilization, and that was a very powerful network effect. But we're moving into a new world where anyone who has a fleet of self-driving cars, in theory, could just make them available to the public and start competing. How do you see that impacting your mode?
Starting point is 00:09:05 And do you have to go from being an asset-like business to now owning all these cars and deploying them? And is that a good thing or a bad thing for your business? So I think that the same economics apply, right, which is if we, if we have that fleet owner is not going to have as many vehicles available in a certain market than, let's say, a network like ours. And we will have a hybrid network. We're going to have humans and autonomous cars together, and that's going to continue for a while.
Starting point is 00:09:33 You know, the autonomous of the machines are going to, aren't going to replace all humans, at least for the physical future. So for us, if you're a part of our network, you are going to get more requests than the player who's doing a standalone because we already have the demand, the request is going to come from much closer. So instead of, you know, pick up who's 15 minutes away for a 10 minute ride, you're going to get a pickup that's three minutes away for a 10 minute ride. So the utilization in terms of the revenue generating miles as a percentage of total miles driven is much, much higher on our network. So the player that, you know, if you have Fleet Player A who's going direct, standalone,
Starting point is 00:10:16 fleet player B who's working with us Fleet player B will have much more business will have many more miles that are that are creating revenue as a percentage of the total miles driven and as a result each of their cars are going to get much more revenue per car per day than the fleet player who isn't working with us so I mean that ultimately is you know even if you think about Uber Eats
Starting point is 00:10:40 right there's this drama which is hey do you go direct only or do you work with a marketplace and the fact is Because every major food player, McDonald's, has a direct channel. But they have a box, and they want that box to create as much revenue as possible. So they have a direct channel, and they work through our marketplace, DoorDash Marketplace, other marketplaces as well, because that's how you drive utilization. And so I think that most of these players, there are going to be some players like a Waymo, like a Tesla, who can build their direct channel.
Starting point is 00:11:14 we think if they want to drive maximum economics out of these really expensive cars for now, they're going to also want to work with us. Do you think you will need to buy and deploy your own fleets, or can you rely purely on third-party fleet owners? So I think that there's going to, ultimately, if you look at the end state, I think all of these cars are going to be financeable. So if you look, again, in the hotel business, I used to be in the travel business, a Hilton or a Marriott, who's the brand, doesn't own any.
Starting point is 00:11:44 other hotels. Those hotels are owned by financial-only players. And I think 10 years down the line, you know, there are these things called REITs, real estate investment trots. You're going to have fleets. You're going to have financial owners that own big fleets of cars that are on our network, maybe on other networks. The new Hertz, the new enterprise kind of thing. I'd say it's going to be more financial players. So it's not, you know, Hertz and Enterprise are operators. These are going to be like the blackstones of the world. And they own fleets and they're just trying to monetize those fleets as much as possible. That's the end state.
Starting point is 00:12:19 Between now and the end state, we will take balance sheet risk because we can sign up. We know exactly how much revenue a car can produce in said market because cars are already producing revenue. So we can sign up for the revenue. We will prove out the business model. We'll use our balance sheet to prove out the business model. And then at some point, the whole thing's
Starting point is 00:12:42 going to get financialized and we'll be able to take it off balance sheet. Is Waymo willing to work with you? Waymo is working with us now in Austin and Atlanta. Okay. So in Austin, Atlanta, if you're using Uber, you can be picked up with a Waymo. Our customers love it. Is it the driverless aspect of it that they love? You know, they're, so the privacy that you get. I think one is they're new cars, they're really nice cars. Yeah. It's kind of freaking cool. Yeah. And you do have privacy in that car as well. So I think the combination of it works out really well.
Starting point is 00:13:20 We see customers who experience the product. They rate it really highly. They use it again. And so it's just an absolute dynamic product. So we've mostly only spoken about the X, Y, axis. And we have a couple of our friends who've built businesses that are, you know, trying to launch these EV-Tal businesses. Some of our other friends who are experimenting with small drone delivery.
Starting point is 00:13:44 Tell us where all of those things play in your infrastructure going forward. So we're absolutely believer in Evital. We're an investor in Jobi, and we are going to work with them as those vehicles become available. We know that there are some other vehicles. But I think the kind of Z-axis,
Starting point is 00:14:03 if you want to call that, makes a ton of sense. Listen, in cities of the world, essentially they have built in the third dimension because there's only so much that you can expand, you know, in the X and Y dimension. So businesses have expanded in a third dimension, residences have expanded in a third dimension,
Starting point is 00:14:22 but our transportation infrastructure has only expanded into two dimensions. Right. So it's no wonder that traffic just keeps getting worse and worse and worse, because that third dimension isn't available. So we are absolutely believers in both EVTALs and drone delivery.
Starting point is 00:14:42 Now, I think on the third dimension the delivery side, there are two areas that we're working on. One is sidewalk robots. It's easier tech to develop. Explain what that is a sidewalk robot. So sidewalk robots, there are some of them in LA and Santa Monica. They are autonomous vehicles that drive on the sidewalks. They drive pretty slowly. They're very, very safe. They look kind of cute. And they're appropriate for deliveries that are a mile or less long. So, deliveries in a tight space. And so there's a certain addressable market for us in deliveries where those sidewalk robots work in, and we're working with Serve, Cardigan, a number of other players in the U.S., in Japan, in a number of other markets.
Starting point is 00:15:28 Then on the other side is drone delivery. And drone delivery is a proper for markets where, you know, they're more spread out, suburban, no high rises, et cetera. Those two together, we think can cover 50% of our delivery TAM, so to speak, but then there's another 50% that we're going to have to work on in terms of the first and the last mile. You know, coming out of the restaurant and then getting the food into your apartment as well, humans take care of their own first and last mile.
Starting point is 00:16:00 But you need something to take care of the first and last mile of the food. That's where the challenge is going to come in and we're working with a number of players to see how we can get that first and last mile for food. I want to talk to you for a minute, if I may, about the balance sheet. Yeah. One of the great, you know, sort of early insights we had at Uber was around profitability. And the press and the narrative was, oh, Uber could never be profitable.
Starting point is 00:16:25 And I would talk to TK about it and William and all the Josh in New York. And they're like, yeah, we could flip it at any moment in time to $2 more ride. We would lose no rides. It would be wildly profitable. And in fact, under your stewardship, Uber has become. a money printing machine to the point at which you announced a $20 billion stock buyback. Yes. And I saw it and I said, wow, this is just incredible.
Starting point is 00:16:48 However, did you tweet about it by chance? I might have. Once in a while, I'll retweet you and give you a little shine. But I did have this thought that, and I had Chris from Nuro on the program and you have this great partnership to put 20,000 Lucid's on the road. Wrong podcast. What's that? Keep going.
Starting point is 00:17:08 The other podcast. And so I'm wondering how you think about the war chest, the money printing machine, and deployment of that asset. How do you decide $20 billion stock buyback versus putting $300 million into Nuro? Or we had Travis on the podcast and he said he's had many opportunities to look at things like Pony, which has been in the press. And it would be pretty great to have the original founder maybe, I don't know, you've got a couple of billion laying around and maybe help him have Pony come to the the West. So how do you think about deploying that capital in order to, you know, continue to grow from where are we at? One percent of rides globally are ride sharing approximately? A little more, but it's between one and two percent. It's a very low number. It's clear it's going to go to
Starting point is 00:17:53 20 with autonomy. And so if we all believe that and that's obvious, is that the best use of the capital? How do you make that decision? So I think the good news for us is it's not either or. We can walk and chew gum at the same time. In the past 12, months, we've had over $8.5 billion of cash flow. The business is growing, you know, top line, 18 percent, bottom line, 35 percent. So that cash flow is going to grow by a lot over the next three to five years. And we announced the $20 billion buyback because in looking forward to areas in which we could invest aggressively, for example, in AV, because we should, because It's an enormous opportunity, whether it's vehicles or fleets, et cetera.
Starting point is 00:18:39 We are very comfortable that we've got enough capital to be super aggressive there appropriately. And at the same time, buy back our stock. There's a great company we know of. Management team can get a little better, but they're okay. And we think it's a great deal. So it's not an either or. It's an and for us. And we're lucky to be in that position at this point.
Starting point is 00:18:58 You have a very big business in Uber Eats. Yes. It competes with folks like DoorDash. When Travis was on the pod a few weeks ago, maybe a month ago, he talked about sort of the robotization of food and all of that. Can you just talk to us about your vision of where all of that stuff goes to? So we actually work with Travis and his Cloud Kitchens business. He's also built a restaurant tech business in Otter as well.
Starting point is 00:19:27 And I do think that you are, you know, any food business that is not deep in delivery is going to lose share, period, for the foreseeable future. So every single player, food player, grocery player, even now retail player, has to get into delivery and has to get into on-demand delivery. Otherwise, they're kind of missing the most attractive segment of consumers out there. And I think as the cost of labor is going up, all of these businesses are building or investing increasingly a robotic station. It's not something that we are getting into, but as more food, healthy food, delicious food becomes more available, lower prices, then our delivery business kind of will benefit along with the partners. I'm hearing consistently from you, and you can just tell me if this is wrong, that you are becoming increasingly an asset. asset light, highly liquid distribution network.
Starting point is 00:20:26 Like you have this incredible network effect. You have these hundreds of millions, maybe approaching a billion users, and you can just pour them into all of these things. We are essentially, we bring demand to the assets that are driving the movement of people and things and food and grocery, and these are all asset-heavy businesses. So the next incremental piece of demand that comes from our network is incredibly valuable for them. and we can do so staying largely capital light at the same time to the extent that I can use my capital
Starting point is 00:20:58 to invest in the AV ecosystem or fleets, et cetera, we can also do that. There's one company that wants to go on its own. A friend of ours runs it. I think that you probably have had some conversations. Obviously, publicly you have. What's the best pitch to Elon to put 100,000 robo-taxies into the Uber fleet?
Starting point is 00:21:21 while still doing his own because his app is doing spectacularly well and the pilots are doing well so he'll obviously figure it out but what's your best pitch to him to joining the Uber network? I think listen the pitch is simple which is if you're looking to maximize
Starting point is 00:21:35 the revenue of those robo taxis today we are your ticket to the maximization of that revenue to the extent that you're looking to have these fleets owned by people you know kind of the digital shepherds which is an amazing vision that Elon has
Starting point is 00:21:51 to the extent that those owners are not able to monetize their assets on the Uber network, they will under-monetize. And if there's a competitor who is offering those vehicles to be on the Uber network, the monetization of those vehicles are going to be superior, and those digital shepherds are going to go elsewhere. So I think that is the pitch. And, again, Elon is, you know, he kind of believes in full stack. Yes.
Starting point is 00:22:17 And he's proven it. And I think that this market is large enough for there to be multiple winners. Clearly. But in the end, to the extent that we would love to partner with them, but at this point, they're looking to go it alone. And I think the market is large enough to carry a number of winners in this ecosystem. Well, I ask you a tough question about humans. I was talking to Will Barnes, who ran originally in Los Angeles and then half of the country for Travis.
Starting point is 00:22:42 And Will Barnes had a pretty amazing insight, which was in the early days, we had, humans protesting humans competing for, you know, the taxi drivers versus the ride chair drivers in China, in Wuhan, in fact, there's been a lot of civil unrest, and they're talking about limiting the number of licenses for self-driving cars because of the disruption that would happen if young men who have those jobs are not able to have a job. And we saw the Waymos get called to their death here in Los Angeles, and that was a pretty clear message as well. How do you think about that group of people losing their jobs, these drivers who built the Uber network, who built Lyft, who built Doordash, and China's overwhelming
Starting point is 00:23:25 concern about this, because these are robots taking human jobs. And there's a lot of discussion about this. And I think maybe in the tech industry, we don't talk about it head on. I think, listen, this is, it's a big issue for AI in general and job displacement. You see it with younger graduates as well. I think for us, at least for the next five years, the number of robot cars coming onto the platform are not going to be displacing people because the platform is just growing so quickly
Starting point is 00:23:57 that we can very easily take that demand. And there is a natural turnover of our driver base. So in a market like in Austin or other markets in which we're launching autonomous, we will turn down the driver recruitment machine so the robots can come in and the drivers who are currently driving in the platform can make as much money so Austin drivers now are making as much or more money than they were before we introduced Waymo so I think for the next five to seven years we're gonna have more human
Starting point is 00:24:30 drivers and delivery people just because we're going so quickly but I think you know 10 to 15 years from now this is gonna be a real issue and Jason I don't have a neat answer for it now we're finding like other kinds of work. We've got drivers and couriers, you know, labeling AI labels and looking, you know, we have a whole Uber AI solutions business. So we're essentially, one way to look at Uber is we are a platform for work in transportation as a first kind of work. And now we're expanding into other kinds of on-demand work as well to be able to adjust the kind of work available to people who want to earn our platform, but I think long-term, this is a big, big societal question
Starting point is 00:25:16 that we're going to have to struggle with, and lots of others are going to struggle with, too. Absolutely. All right. Thank you very much. Thank you. Really appreciate it. Thanks, sir. Thanks, sir.
Starting point is 00:25:29 Crushed it. Thank you, my brother.

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