Inside Travis Kalanick’s Wild New AI Company

22 Jul 2026 · 46 min · 19 chapters

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In short

Travis Kalanick discusses his industrial AI/physical automation company (Pronto/“Pronto technology”) after a $1.7B raise, focusing on deploying autonomy in mining and other industries (food, transport). He argues go-to-market works because they prove “human productivity” and then scale, and he frames AI safety as building machines people want and keeping them “on the road.”

Guest backgrounds

Travis Kalanick (ex-Uber CEO; serial tech entrepreneur). Co-hosts include John and Jason (podcast hosts; one mentions OpenAI/ChatGPT app and prior conversation with Kalanick).

Key claims

Pronto has surpassed human productivity; mining autonomy reduces OpEx and improves safety; productivity gains could reach 30–40%. They augment existing machines (not rip-and-replace) via sensors/compute and commissioning. Pricing should resemble enterprise software: baseline plus outcome-based upside. Regulation should be cautious; bad transport rules were driven by trial lawyers/insurance incentives.

Notable examples

operating in Valet’s massive iron ore mine in northern Brazil; phosphate mine near Iraq/Saudi border where signals were jammed; “no-entry mine” (lights-out pit) concept; autonomous “haulage” as the mine’s “cardiovascular system.”

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Jet Ski Adventures and Reflections

0:46 to 3:17

The hosts share humorous anecdotes about jet skiing to work and its implications.

“It's like who else do you know is jet skiing to work?”

Nostalgia and Career Reflections

3:18 to 5:00

Discussion about past experiences and the nostalgia related to their startup journeys.

“They're like, if they're one thing, they wrote into the fundraising round, they wrote into the docs, like cannot go to therapy.”

New Business Developments

5:01 to 6:28

The conversation shifts to significant updates in the guest's business and funding.

“What happened with the business to unlock the next round?”

Understanding the Market Approach

6:29 to 8:12

The guest elaborates on their business model and go-to-market strategies within various industries.

“Yeah, he's still technically doing it with Tesla and SpaceX.”

Innovations in Mining Operations

8:13 to 14:00

The guest describes advancements in mining technology and productivity improvements.

“Because specifically, when I think of your go-to-market magic, it was deploying young people to a new city in Miami and they're doing a marketing stunt.”

Exploring Productivity in Mining

14:00 to 15:00

Learn about potential productivity gains in mining operations.

“So there's a lot of things like this that pile on to each other.”

Transitioning Mining Operations to Autonomous

15:00 to 18:20

Understand the challenges and processes in making mining operations autonomous.

“And for that company, for Pronto, they were super – Anthony Lewandowski and the team there, super scrappy, true startup style, lean as hell, like so lean, like that Christian Bale movie.”

The Concept of No Entry Mines

18:20 to 21:40

Discover the concept of no entry mines and their implications for safety and efficiency.

“So the installation and the bring-up and what we call commissioning are sort of like the things you have to do.”

The Future of AI in Heavy Machinery

21:40 to 24:10

Learn how AI could revolutionize the operation of heavy machinery in mining.

“So we can work with them where, like, there's APIs.”

The Human-Centric Approach to AI

24:10 to 25:50

Explore the importance of creating AI that serves human needs in mining.

“series with regard to ai safety doom generally have you ever had moments of uh maybe we won't figure it out won't figure what out the alignment problem broadly like the the iRobot the three laws of robotics.”
Show all 19 chapters

Business Models in Mining Technology

25:50 to 28:05

Examine how mining technology companies can structure their business models for success.

“And I do think of course you have to have safety situations and there's collisions of like what do I prioritize first and how do I do it, which is I think where Asimov's laws go.”

Enterprise Software Pricing Strategies

28:05 to 29:31

Learn how enterprise software companies negotiate pricing to capture value.

“Well, look, there's, you know, and the instinct should be how do enterprise software companies do it.”

Hiring Executives: The Kalanick Approach

29:35 to 33:00

Discover Kalanick's insights on hiring effective executives and their traits.

“What is your process for hiring executives today?”

Regulatory Challenges in AI and Transport

33:01 to 36:19

Explore Kalanick's perspective on federal preemption versus state regulation.

“The AI labs are duking it out over federal preemption.”

Automation and the Future of Work

36:20 to 40:08

Examine how automation impacts jobs and tasks in various industries.

“But we went to, we being Uber at the time, went to DC and they pushed a$1.5 million policy per ride.”

Jeffing's Paradox and Economic Surplus

40:09 to 42:03

Understand how automation leads to economic surplus and new opportunities.

“When the price of food goes down, remember robots don't have bank accounts.”

Investment Insights and Future Plans

42:03 to 43:24

Learn about the challenges and considerations in raising capital for new ventures.

“And as long as humans still have things that we do that robots cannot, it's go-go time, man.”

Understanding Industrial AI

43:24 to 44:25

Discover the concept of industrial AI and its impact on automation in various industries.

“on the second close, but like, you know, those people who are texting me and hitting me hard right now.”

Lighthearted Farewell and Future Plans

44:25 to 45:00

Enjoy a fun exchange about future meetings and personal interests in water sports.

“And that's kind of how we think about it.”
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Transcript

Automatic transcript. May contain errors.

0:00Travis Kalanick:I forgot to ask Jason if he has opinions about restomods for jet skis. I'll ask you. Is there a jet ski that you'd recommend for somebody getting into a commute? I saw a wooden jet ski recently. A wooden? That's good. Like a really classic jet ski. Dude, don't get me excited. I'm into it. Look, these things go fast. Yeah. I think I went 70 miles an hour on my jet ski to work. Wow. To work. That's faster than most people commute. They're stuck in traffic. I mean, I've got a five-minute commute to work on a jet ski. On a jet ski. Unless it's raining. Yeah. Unless it's raining. Unless it's raining.

0:31And it gets a little weird. And you call an Uber. Is it helpful?

0:36Travis Kalanick:Do you do your best thinking on the jet ski? No. Does it clear the mind? No, it's just – Guys, it's a fucking notch on the belt. It's like who else do you know is jet skiing to work? Nobody. I'm the guy. You're that guy. I looked it up. I looked it up on your guys' application, OpenAI, you know, ChatGPT on your guys' app. Yeah, on your app. You're welcome, by the way. Yeah. No, I want to thank you for all the great stuff that you guys are providing in ChatGPT. But I think there's like one or two other CEOs, but nobody at a major, nobody thousand person plus that's a CEO is commuting to work. On a jet ski.

1:27Travis Kalanick:Only a Texas resident, right? Texas resident that's right primary residence yes yes before we start the last time you're on here that was for me the best moment of making the show ever John and I uh it was it was totally surreal and uh we had a we really enjoyed the conversation but but to me we left that and it was almost depressing because as somebody who you know started getting into startups in the 2010s you were that guy. And then I was realizing with the show, we had that conversation with you and it was a significant day for you. But it was sort of depressing because I realized a moment like that would never actually come again where I got to basically interview.

2:15It will happen, guys. It will happen. No, it'll happen differently. But a childhood hero having that conversation, that's one of one for me. I don't think it'll happen again. there'll be other it was peak it was good but anyways you've been busy since then i've been busy and we're i look i'm super excited it's my first open ai podcast i'm very excited about it also i want to let you guys know that um if you need therapy sessions for what it's like to be a made man in retirement sure like if that's a thing i can call you i can help motivate you guys step one of therapy in this situation just get a jet ski no it's just it's it's actually denial you got to get over the denial.

2:57Okay.

2:57Travis Kalanick:Over the denial. Just fucking. And then the acceptance. Yeah. It's something. I don't know the 12 steps. Yeah. Yeah. Everyone just knows denial and acceptance. They don't know any of the other ones. It's like a bunch of shit in the middle. Grieving, bargaining. There's a couple others in there. But you do go through that. It's natural. Yeah. It happens. But then you start building. Yeah. That's pretty good. If you guys need advice, you need therapy, I'm here for you. I love it. I mean, you know the retard maxing is you're not supposed to do therapy. I'm just saying there are benefits. Especially with your new partners.

3:22They're like, if they're one thing, they wrote into the fundraising round, they wrote into the docs, like cannot go to therapy. That would be amazing.

3:30Travis Kalanick:Podcasts are modern therapy for men. This is what men do. They don't go to therapy. You should have office hours for founders, but they have to just come out on a jet ski while you're going and you're going 70 miles an hour and you'll coach them. I am starting to teach many founders and people in tech world how to water ski, how to wake surf. A bunch of my engineers already. So there was one guy who didn't know how to swim, but I got him behind the boat wake surfing. Whoa. So you had a life jacket. Life jacket. Life jacket. It sounds weirder than it is. But it was still very weird. It's a high risk.

4:06Travis Kalanick:Yeah, it was good. Potentially. Okay, cool. The business. Business. Going well. Dude, it's business time. Got to put on the business socks. Unfinished business. Unfinished business. So yeah, I announced earlier today we did a$1.7 billion raise. There's some noise that's going to happen.

4:32Travis Kalanick:Now, you guys are crazy. I'm hitting it next time. I'll come over the top.

4:43So much noise. So much noise. All right, but walk us through.

4:46Travis Kalanick:I feel like you came in very relaxed. Walk us through. I think it's been what? It's been four months since we talked? Three or four months, something like that. Yeah, I think, did we talk in April or March? I think March. Yeah. Oh, that's right. Yeah, so four months. So, yeah, so. What happened with the business to unlock the next round? I mean, we continue to go up and to the right, But the announcement of Atoms was we are going to do physical automation, physical AI, what we are calling industrial AI, to transform these industries one at a time. We did food. We moved into mining. We're doing transport.

5:29And it's working. And so that's how you go. And then, of course, there's going out of stealth. There's all the things. And it was just the right time. Yeah. So yeah, we just went to market. We said, when I originally went to market, I was like, these were separate companies. So our mining and transport was a separate thing. Food was a separate thing. And we had a bunch of other, a bunch of subsidiaries doing cool stuff. And I said, which one do you guys want to do? Do you want to invest in mining? Do you want to invest in food? Do you want to invest in this? And they're just like, we want to invest in you.

6:06Yeah. And we heard that – like the first five folks we talked to all said that. So then what we did is we put the companies together and then sold the equity in a singular entity. So just put it together. And it's much easier for me. I don't know how Elon does it with all the different companies. Different cap tables. It's wild. Well, no, no. The answer is what's been happening. right? It's like more and more consolidation. Guys, he did it for 20 years though.

6:40Travis Kalanick:Yeah, he's still technically doing it with Tesla and SpaceX. They are different companies. Boring company, Neuralink. He still has a lot of cool stuff. But the lesson in there for investors is like even with Elon companies, there's such an insane power law where you have a$10 billion company and then you have a$2 trillion company, right? and it's like you just want broad exposure. Ideally, you could just invest in the one that breaks out, but you want broad exposure to the category. When things are first getting going, there is a lot of upside of having them separate. Sure. Because if somebody wants to invest in a really cool thing, and this is what happened when we first got the transport and mining thing going, if they want to invest in that cool thing, they're like, I don't know anything about food.

7:24By the way, food on its own is robotics, real estate, like restaurants, like, you know, and so they want to be exposed to that one thing, and they don't want to have to underwrite something going across all things. And they're like, well, if you're losing money over here, I want you to lose money over here. So how much of the money I'm putting in is going to go to that? There has to be a theory of the case of how you put it together, how you allocate capital across. And honestly, once you're starting to get to profitability on one or more, then that conversation starts to get easier. And I think that could be why – I can't speculate on sort of Elon's world, but certainly I'm super excited to have those pieces put together into a single puzzle.

8:12Travis Kalanick:What does go-to-market look like in the mining industry for you? It's the freaking best. Okay. Because specifically, when I think of your go-to-market magic, it was deploying young people to a new city in Miami and they're doing a marketing stunt. And it's not like you're calling in favors or leveraging your network to get Uber up and running in a new city. That was something that was organizational design. So hold on. That's consumer. Exactly. So how is it different? Well, it's just like all the food stuff we're doing is business, almost all of it, really all of it. Mining is all business. So look, there is a big thing.

8:58If you go from doing consumer to doing business, and I think we may have talked about this last time, that's a whole other ballgame. I mean that takes years off your lifespan doing it, like getting good at it and then owning it. But mining go-to-market is cray-cray. Yeah. So I'll just give you an example. A month ago.

9:20Travis Kalanick:A mining conference or something? Well, yes. How are you meeting CEOs? Yes, you do that. But I can a lot of times – look, when you have very efficient transportation, you can go places. So a month ago, I dropped into deep Amazon in Brazil. Okay? Like deep northern Brazil, like Amazon. Places you can't even get a jet ski to. Guys, it's the Amazon of the Amazon. Okay. Okay. And like tiny airports, you just like, you kind of just. Dirt. You slide into the DMs, except there's a tarmac. Okay. There you go. Great pilot. Yes, of course. Yeah. And massive iron ore mine that we're operating in there. Okay.

10:07And you see, like we took, we were there for a couple days because we already have customers there. Sure. A customer is called Valet. It's a massive mining company.

10:20And it's like the world's largest iron ore mine. And you go and you get in a helicopter. Just going over one of the sites takes 30 minutes. Wow. Okay. And it's fascinating. It's so fascinating. And you're learning how the system works. You're sort of figuring out how do I – you basically take a kit. You install it onto a machine, and that machine becomes autonomous. And some of these machines are like 20 years old. Some of them are new. And so there's lots of different kinds of machines as well. And you're making the mine more productive. You are making it way safer. It is super, like they have lots of safety protocols, but like it is mining.

11:05It's a dangerous business. It is a dangerous business. And the OpEx goes down all at the same time. It's kind of a beautiful thing. And then I went from Brazil and then straight from there dropped into the border between Iraq and Saudi on the Saudi side. So we have a phosphate mine that we're doing stuff there. The signals were jammed. So we had to like my pilots had to land kind of like old school style, like physical, visual. Is that because of the conflict going on in the region? And just the general, the vibes on the borders there. So, but same story. And so go to market is wild.

11:47Travis Kalanick:You just end up in crazy places, but it's super needed. And so what's happened is the Pronto technology has gotten past human productivity, which means you go to a goldmine CEO, you talk about go to market, you go to a goldmine CEO and you say, would you like to have 20 % more gold per year? absolutely good so we haven't heard no yes okay okay but they're but they say prove it yeah and that's where the rubber meets the road right how long does it take to prove it used to take a lot longer now like once you've proven it enough times then it sort of gets its own momentum gets around and so we're in that we're in that place on pronto where that momentum is taking hold because there's enough proof points where it's just working in so many different places where people are like all right, let's go.

12:33We're going to think of mining, autonomous mining, almost like enterprise software where you get a pilot. There's like a 10 ,000 person company and you've got an enterprise startup and they're like, I got like eight seats, but it's this huge company. And if we get it, it's huge. And I've got this other 10 seats over at this other one. It's a pilot, but I swear it's going to work. And they're out there pitching and trying to make it happen. But once it works, and in mining that means human productivity human level better than human productivity once it works it goes big yeah and they're like okay let's get across let's get across all the vehicles and so we're sort of in that mode with a bunch of different customers right now how big is

13:19Travis Kalanick:the opportunity to just increase up time of mining operations i imagine that there are mines that are trying to operate 24 seven, but getting a night shift in the middle of the Amazon reliably, everyone's showing up and being, you know, healthy and happy and eager. It gets a lot easier when it's like, yeah, we're still going to have a bunch of people on site, but they're going to be overseeing robotic work. For sure. So, uh, so yeah, I mean the, um, there's two parts to the productivity gain. First is the machine per hour doing more. Yeah. That's part one. Part two is hours and call outs and all of that stuff, as well as just, you know, the safety protocols change when you have less risk.

14:07So there's a lot of things like this that pile on to each other. My guess is you could even end up 30%, 40 % more productive at the end of all of it. And when you do that, the opportunity speaks for itself. A gold mine that's doing 30 or 40 % more gold per year is kind of, whoa, but that's for every mineral. That's lithium. We also go all the way down to quarries. Quarries are different because quarries are basically, it's about cement, let's just say. That's the main jam. There are others, but let's just go with that. You don't just go do more rock because you need cement customers on the other side.

14:46They're only using so much cement. Like where to store it. Yeah, exactly. And so that's more of an op-ex play. and there are thinner margins there. But I'm in the game and it's kind of interesting and it's a lot of fun. And for that company, for Pronto, they were super – Anthony Lewandowski and the team there, super scrappy, true startup style, lean as hell, like so lean, like that Christian Bale movie. I can't remember the name of it. The Machinist. Dude, it's like super lean. And I'm like, guys, we got to go from lean to muscular. You got to go to Batman. And that's what we're doing. And you think of this in an enterprise.

15:26That's a good phrase. Yeah, you don't want to be fat.

15:29Travis Kalanick:You just want to be muscular. And so you think about enterprise go-to-market. Part of our go-to-market is building credibility with our enterprise customers that we're going from lean to muscular. Because the demand is there. It's ready to go. They're like, we need you to be muscular. We need the protein powder and the whatever else. What holds you back from scaling? Let's say you do a pilot. It works well. You're attaching hardware to existing systems and hardware that they're using, and they say, okay, we're getting more out. Maybe we want to place orders for more machines. I imagine the lead times on some of this mining equipment could be insane.

16:15How much of the stack do you want to own?

16:21um say the question again i'm sorry i just blanked go for it one more time like right now you're taking existing mining equipment yep and you're augmenting it with you're bringing you're you're making it ai enabled you're making it autonomous you're making it more efficient yeah and they say great this is working we want to scale up our operation because maybe we need less or we can do more with the same you know human head count yeah um but what's the i imagine there's some things that are out of control for you at that point where they're like, okay, we need more of this heavy mining equipment.

16:52Let's add it to the site. But is there like a lag time there? The real lag time is getting, so you have to, so let's say we want to get a bunch of machines that are in the Amazon up and running. Okay. How do you do that? So I've got to ship a bunch of sensors, a bunch of compute, a bunch of equipment and mechanical systems, let's just say, so that a team can then go install it. Yeah. So you're basically building a data center on site? I wouldn't put it that way. I would say, I mean, if you considered a machine with sensors and compute a data center, I mean, you could. But it's really, think of those, there are servers, but I wouldn't say a data center.

17:34It's not really like that.

17:35Travis Kalanick:Some operations would bring like an Armada-style, like shipping container-sized level of compute. You just want to do as one. So you bring in the stuff, okay? You have to install it. You have to bring it up and make sure, okay, this is a new place. Does this machine work properly in this new place? And calibrate and make sure it's safe and all of this. So there's a process of getting it up. Then there's change management because that site's going from there are people that show up in the morning. There's all this very regimented process to make sure everything's going exactly as planned and people are exactly where they're supposed to be.

18:13because otherwise weird things happen on a mining site. So you have to go from that to, okay, we're now running an autonomous mining operation. It's just a very different thing. So the installation and the bring-up and what we call commissioning are sort of like the things you have to do. And, you know, like why does it take a long time to install? Because that machine may not even be drive-by-wire. So you have a mechanical system. Like if you turn the steering wheel, you know what I mean? It's a mechanical system, a hydraulic system.

18:51Travis Kalanick:So you're bringing an actuator that might push a physical button. Yeah, you're trying to make electricity then do a physical thing. So then you need physical actuation to do the things because these machines are not natively drive-by-wire. Yeah, so that sounds incredibly difficult but necessary because you're not going to get a mine to rip out tens of millions of dollars of equipment that they already have. But would you eventually go full stack, like build the entire system? I mean, look, we ultimately, I mean, if you go in the mining industry, there's like this term. It's called no entry mine.

19:31A no entry mine is a mine where there are no people in the pit. Lights out factory. Yeah, kind of like that version of it. There might be people in a control center. But in that pit, no humans.

19:44Travis Kalanick:And it's a wildly different calculus from a safety perspective I imagine. Totally different, obviously. And so there's drilling, there's blasting, there's loading, there's haulage, there's crushing. I'm just going through the different parts of the mining operation. And what you do is you start somewhere and then you start extending to those other areas to get to that no entry thing. And the no entry thing is you can have an autonomous thing. Like our haulage system is autonomous. If you're getting in a new place, you can do remote control and move into autonomous. If you want to go super no entry or lower entry line, if that makes sense.

20:29It's super fascinating. And then you're talking about loaded a 2 million pound machine that's moving potentially 35 miles an hour down the road. And it's an off-road thing. 2 million pound machine moving 35 miles an hour off-road. Yeah, dude. This is why you have to jet ski to work. This is the ultimate ATV. So, no, you get in it and you can experience it. I mean, it's not like there's an amusement park for this, but I've certainly experienced it where I get in the machines and check out what's going on.

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21:09Travis Kalanick:This is like the dump truck with 20-foot tires, essentially. Are any of these companies acquisition targets where you would be able to come in and say, like, you're doing a lot of stuff well, but here's all the stuff that you're never going to figure out like us? I mean, look, I would say the way we think about it is the haulage part of a mine is where most of the vehicles are. And we think of haulage as the cardiovascular system of a mine. So we're obviously very connected to all the other machines, but we don't do all the other machines. So we're like in an ecosystem. So we can work with them where, like, there's APIs.

21:47Because, like, if you're doing haulage, you need to know where the other machines are and what their status is. as an example. There needs to be orchestration and coordination there, which is pretty interesting. In terms of acquisition, I have to admit the uber mentality, my mentality, let's just say. Yeah, yeah. My dune. Yeah, yeah. It's like not, I guess Uber is different today, but in my world, we didn't acquire shit. We just built. Yeah, that's right. I don't know if I have an opinion yet. I'm not religious about it, but if we feel like we can build something, we do. But sometimes people have differentiated awesome stuff and you're like, let's partner.

22:26We're open to it.

22:28Travis Kalanick:How would you pitch me if I was a young person, Stanford CS, new grad, worried about software engineering not being the easy path where I can bounce around from Google and maybe Uber had a cushy job for me. Pitch me on going to the Amazon and building. And that's awesome. I mean, that's awesome. I thought I just did. I mean, that was a good pitch. That was the pitch. But do you think, do you think, uh, young people are receptive to this pitch yet? Are we about to be receptive? Why should they be receptive? It's really interesting. Cause I only run into the young people that are receptive. Sure.

23:06Like I'm not out there pitching like lame sauce dude who doesn't want to work. Sure. Sure. Like I don't I don't end up in the same room as this guy. Do you want a job where – do you want a laptop job or do you want to be dropped into a mine in the Amazon and like build science fiction? This is the thing, right? This is why the Adams thing is cool because you're not dropping a fucking app in the app store. You're like automating a 2 million pound machine going 35 miles an hour carrying gold. Do you watch? Do you get it? There's a lot of profanity happening today. I don't know why it's happening, but it is.

23:48No, it's let it flow. I just wanted to acknowledge it. Do you get inspired by science fiction at all? I can imagine watching Dune for you. You're just texting pictures to the team. Of course. My fave is Asimov. He's my fave. um you know the iRobot series is like just so epic um what is your takeaway from the iRobot

24:14Travis Kalanick:series with regard to ai safety doom generally have you ever had moments of uh maybe we won't figure it out won't figure what out the alignment problem broadly like the the iRobot the three laws of robotics. This was sort of an elegant solution. It's tested, obviously. But I would love to come back to a world where everyone, both the doomers and the AI builders agree that, yep, the three laws of robotics will be sufficient. That doesn't feel like where we're going. Well, in some ways in the series, the three laws don't always work out. So I think there's a lot of, I thought there's a lot of nuance to those three laws, even though the laws are sort of so simple.

24:59I love the intention of those laws. I sort of think of it a little bit differently, which is I have been entrepreneuring for a long time, like a long time. And I have failed. And when I think about why I failed, it's usually because I was building something that nobody liked. so if you build something that people don't like i don't think you're going to succeed so how does that relate to your question he's like please tell me because i'm not connecting the dots at all what are you talking about well if you make something that is anti-human if you make something that doesn't serve people i don't think you're going to make it I don't think you're going to make it and by the way like yes we're using AI to help us make decisions etc but what do those AIs really really want to do almost too much they want to please us so I just think if you're not making stuff that humans want it's not going to work out and that's kind of obvious obviously but I think it keeps going and yes there's the dangers and the things and then this but that's my starting point for how I think about these things and we can't control all the things.

26:18And I do think of course you have to have safety situations and there's collisions of like what do I prioritize first and how do I do it, which is I think where Asimov's laws go. But instead of writing sci-fi books I'm just doing the thing and I'm making sure that the machine stays on the road.

26:38Travis Kalanick:Yes, and related to that idea of like doing the thing, making the machine stay on the I imagine that your world view is somewhat informed by your contact with reality, the fact that you can see the progress of diffusion, how long drive-by-wire systems took to roll out, and the need for AI to be deployed in tactile ways. You just see it as more positive sum, there's more opportunity. I feel like you're deploying robots that people want. Right now, robot, I mean, look, there's some point where robots have their own bank accounts and their citizens and all this. We're just not there yet. Sure, sure.

27:17And before we, until we get there, that robot is owned by somebody. Yeah. And that somebody has a bank account.

27:25Travis Kalanick:Yeah. And they are paying based on the value you're bringing them. Yeah. Because they like your stuff. So if you are doing things that humans don't like, you're done. Yeah. And trust me, I've done it. Yeah. I've built things that nobody liked and it sucked. I don't recommend anybody do it. If you can avoid it, you totally should. On the business model side, what are you doing now in mining? And where do you think it could go over time? Because if you're able to bring in a system that helps someone increase their yield 30 to 40 percent, I imagine eventually you just do some type of JV so that you guys have mine incentives.

28:05Well, look, there's, you know, and the instinct should be how do enterprise software companies do it. Start there. And you guys will know that. You know that. What's the answer? Let's just say you're an enterprise software company. You're making a company more productive. What do you do?

28:24Travis Kalanick:Raise prices, subscription. Or the price goes up when you prove that productivity. So there's baseline and then baseline outcomes, you get a little extra juice. Sure, sure. And you can say – Or you're always trying to make sure that like you want to be producing – creating more value than you're capturing. But there's this sort of cat and mouse game where you're always trying to – you don't want to give away maybe too much value. Totally. But here's the thing. You never go to a customer. I don't care what you're selling. I don't care if it's enterprise software. I don't care if it's widgets. I don't care what it is.

28:58you never go to a customer and say, give me a percentage of your stuff. You go to a customer and say, here's the price of our stuff. And if it does really well for you, we think we should get a little more scratch, cashish, stuff, you know, whatever. You know what I mean? And it's that simple. Don't be crass about it. And, you know, partner with folks. And they're down.

29:22Travis Kalanick:They want to win too. It's literally an enterprise. It's an enterprise software style negotiation or approach to the whole thing. And the more differentiated your value is, the more you're going to get. What is your process for hiring executives today? Pray. I was hoping you had the Kalanick system to achieve a 99 % success. I know, but why would I tell you if I did? Why would I tell you if I did? No, but I think you can. This is one of those things you can tell people exactly what you do, and they're not Kalanick. So that doesn't mean they can compete with you. You know, they could, yeah. Okay, so how would I put it?

30:10Look, I think no matter who you go, nobody's nailed executives all the way. It's weird because what will happen is executives talk a fucking awesome game. And there's two things you want an executive to do. You want them to be able to organize at scale, organize and manage at scale, lead at scale. You also want them to be epic problem solvers, the most strategic, badass problem solvers alive. This is like being left-handed or right-handed. And there's very few people that are ambidextrous. But you need that. Now, they're always leaning a little bit one side or the other. The best executives are the ones that are doing both well.

30:52But I have come to the conclusion over my years doing the stuff is the problem solving is the most important thing. If you get somebody who organizes and manages well but cannot solve a problem, they're going to be doing ridiculous stuff in a super organized way. And so that's – and sort of my theory, maybe there's a couple of theories on how I manage or how I lead, is that the only constraint on your imagination is management capacity. But what is management capacity? It's really problem-solving at scale. Because if you are doing super well over there, guess what? They're problem-solving there.

31:31I can create other awesome problems. Like I love creating problems. Go solve those too. But if I don't have the management capacity, then I'm F'd. So the management style that I do is sort of problem solver in chief, which is I take the most impactful problems that are not being solved and that's on my desk or desk or room or whatever you want to call it. That's where I'm spending my time. So people go, oh, what do you spend your time on? Like it depends what the freaking problems are that matter and it can change. and that's how how i roll but it means once you have a problem solver in chief mentality that flows downward that means any direct report of mine must be the deputized problem solver in chief and they've got their because there's only 24 hours in a day i can only solve so many myself they have to then take that for their world and do the same thing and then do the same thing to their people yeah so the bottom line is you got to prove that these folks can solve actual problems and aren't just talking the talk.

32:37That's the number one. And then on the interview process, simulate what it's like working together so that day one really feels like week two. And day one, you better be excited. So if you're excited in day one after simulating what it's like working together in the interview process, then day one is really week two and you're still excited, you took a lot of risk out of the system. That's all I got for you.

33:01Travis Kalanick:I have a question about regulation. Uber famously went city by city. Yeah. The AI labs are duking it out over federal preemption. Did you ever have develop a theory around when federal preemption is better than state-by-state regulation? Do you have a philosophy around this? It seems like the labs go back and forth on what they want. It's hard to see where the chips are falling. Federal preemption is good when you are pro-regulatory capture. Okay. When you want to squeeze others out, you should get federal regulatory bigness going for you. Yeah, because then you don't have to do the ground game that you went through.

33:45Well, no, you're squeezing others out. It's just the whole point is to squeeze everybody out. I never did that. We never did that at Uber. We basically never, ever proposed or pushed any rule that would be beneficial to us versus somebody else. We always were trying to open up the market and we said let the best man win and we just went for it. But I think we've got to be careful of some of these closed-weight things that are creating situations where they need to be regulated and they want it. I'd keep an eye on that. Yeah.

34:28Travis Kalanick:Well, you've got to have customers that love your product and are willing to write their representatives. When you guys decide to tell your own hacker to hack the thing and then go to the federal government and say, dude, we saved the day. Like, you know, you guys don't have to do this. You guys don't have to do it. On regulation, I'm sure you saw the trial lawyers that are fighting back against autonomous vehicles because they're worried they're going to be too safe. Yes. I'm sure that's not surprising to you. No. So look, every bad thing that you see in transport, like systemically, anything in transport that you view as systemically bad was most likely pushed by the trial lawyers and the insurance companies.

35:24Travis Kalanick:Wow. Every single bad rule that's weird and dumb, the insurance companies and the trial lawyers were in the game big time. Where do they align? What do you mean? Well, because trial lawyers, I imagine, want more accidents. Insurance companies are the ones that pay for it. No, no. Remember, insurance companies make margin on accidents. If there's no accidents, there's no insurance company. In a weird way, they love accidents. Because the premiums go up. As long as it's in their actuarial table, they're pumped. Wow. Yeah. Right? What they don't like is accidents they didn't plan for. Sure, sure.

36:06But accidents that they planned for, whew, big insurance outcomes they love. Like I remember we went to D.C. and the taxi system, the liability on a ride, if you took a taxi, it might still be this way to this day. was like$25 ,000 in a taxi. But we went to, we being Uber at the time, went to DC and they pushed a$1.5 million policy per ride. Okay? So what does that mean? That means, well, accidents are going to happen. We're probably, like Uber's probably safer. But it just, do you think the trial lawyers weren't pumped about that? You think the insurance companies weren't also pumped about that?

36:54Travis Kalanick:They can go get up to a million dollars. Because, by the way, the insurance company might be on the other side. Yep. And they're like, oh, there's a one-half million dollar bank account here that I can get access to on a random accident. Right. What can you share on the transportation side of the business right now? How much is that business in service of mining or food versus standalone? It's number one. So number one is it's – so I call it wheelbase for robots, which is if you're going to do specialized robots that move and act in the physical world, they're either humanoids, which we're not.

37:32I'm not anti-humanoid. I'm just non-humanoid. Specialized industrial robots, right? So that's – it's high-scale, industrial-scale tasks, which means you would not have a humanoid ever do that. that means you got to be on wheels so we got to build wheels so that means okay well when food when supply chain is going into our facilities that's a freight vehicle we probably should just turn that into a robot that moves stuff and actually interfaces with our facility in a really cool way when the when the food is coming out of our facilities there's probably like a machine that It holds food at temperature that's like a box on wheels.

38:13I call them autonomous burritos. And it brings it to your home. And it costs 75 cents instead of like the$12 per drop that it costs like an Uber Eats or a DoorDash today. So it's serving. Remember, I'm sort of going through an industry and saying, how do we transform it full stack? How do we automate full stack that entire industry? So, okay, that's the food thing. Obviously, mining is pretty obvious, but you can imagine there's a lot of other machines that move. Like I talked about haulage, but what about grading the roads, the dirt roads? You've got to grade them. That's a machine. What about you spray water so there's not a lot of dust all over the place?

38:58That's a freaking machine. Like what about the material that ultimately goes somewhere beyond the mine? Well, that's a freight machine. Like there's lots of things moving. You know, I saw something that was like, think about just forklifts. I know a company, we remain unnamed, that's spending three and a half, this is on the supply chain side, three and a half billion dollars a year on forklift labor in their facilities.

39:29Travis Kalanick:That probably shows up in the SEC filing if we want to get creative and figure out what company you're talking about. I was just saying, but you see what I'm saying? Yeah, big opportunity. If you just solve the forklift problem. Yes, but on solving the problem, what do you think about this distinction between jobs versus tasks? Like a lot of people would have assumed that there would be no more marketing people because the job is just writing marketing copy, but the job is actually much more. Writing copy is one task. I was looking at automated trucking, and I found some stat. like I think 30 % of truck drivers are armed they carry weapons and so driving the vehicle is one task but in that job you are also providing security for that payload and you are also doing other things refueling the vehicle maybe some minor maintenance and so just the just the steering and gas and brake pressure is just one task that you're doing how do you think about that in the context of all this this really gets to the jobs question i think yes which is basically like okay well if i do everything that we are imagining on food which is i have industrial real estate which is manufacturing and logistics i automate the manufacturing which is production robotic food robotic food machines robots uh and i have robotic couriers what happens food the price of food goes down.

40:58Okay. When the price of food goes down, remember robots don't have bank accounts.

41:01Travis Kalanick:When the price of food goes down, what happens? More people have more money. Jeffing's paradox. What do they do? You start eating more? You just start having 10 burgers a day. No, that's not where I was going, dude. That's hilarious. Everyone's going to eat fat because of you. This is hilarious. That's not what I'm saying. That's so funny. That's not what I'm saying. No, what I'm saying is when once you... Jeffing's paradox. I'll take, I was going to get three pizzas. I'll take six. You're like, one cent the price. No, no, no. So what happens, you have more money to do other things. But remember that money is only ultimately going to humans.

41:37Yes. So it's, the things that get automated go down in price. Yes. Which then creates surplus. Yes.

41:45Travis Kalanick:To do what? Yes. To do other things. Yeah, this is the bomb. So it doesn't always have to be, oh, marketing's automated, but sort of, and there's still people doing it. It's like, whatever, there's going to be a hundred other new things that come out because there's this excess of capital and progress continues. And as long as humans still have things that we do that robots cannot, it's go-go time, man. It's going to be super prosperity. We talked about the plumber that is paid like LeBron last time. It's going to be across a thousand categories. And some categories we don't even know. We don't even know what they are today.

42:23Yeah. Yeah. You raised$1.7 billion. Why didn't you raise more? That's a good question. Because last time we were here, you talked about, like, oh, well, if you were doing something and it was easy, you weren't going hard now.

42:37Travis Kalanick:It seems going pretty hard, but unpack it. Look, you have to stop somewhere. Even I have my limits. No, it's like, look, as you can imagine today, my phone is blowing up. I mean, I'm pumped. like a 16 these guys we we should have done business at uber that's right if we did it business at uber my 2017 would have been a different year yeah yeah okay totally so that's why i called it unfinished business yeah and so um but yeah like my phone's blowing up like we're probably just going to do a second we'll do a second close yeah i figured we'll come back for the second close. Just keep running back.

43:20Travis Kalanick:Run it back. Run it back. No, I mean, we're not gonna do a big announcement on the second close, but like, you know, those people who are texting me and hitting me hard right now. We got room. You know, well, we'll see. We'll see. Depends on what the previous text message was. If you're a homie, we definitely have room. If we're not a homie, you should talk to one of my homies. Yeah, I did come away from the last conversation thinking, all right, there's a lot of exciting companies in physical AI, and you could spend years and years and years trying to find all the best teams, or you could just give TK a big pile of cash and just say, go cook.

44:00And sometimes the easier route is better. Yeah. And I think there's this thing, physical AI, people are like, well, is that a humanoid? Is that a world model? And so on this one, I sort of dialed the language a little bit and am calling it industrial AI. Yeah. It's like, okay, this is a full stack software, robotics, sensors, machinery, like a full stack solution to automating an industry. And that's kind of how we think about it. And it's industrial. Yeah. So it's like heavy atom stuff. Yeah.

44:36Travis Kalanick:Well, thank you so much. It's incredible. You want to get a signature? Can we get an autograph? Sure. Why not? We get something They can figure it out back there. Oh, we got a gong. We love to sign this gong. We'll hang it in the rafters. We want to hang it in the rafters. We're trying to build our repertoire here. The Museum of Business. The Museum of Business grows one gong stronger today. And we'll see you in Austin. Yeah. Next time you're on your commute, if you see two jet skis moving out of sight coming in, it's probably us. That's us. If it's not, you're... Guys, let me know if you want to learn how to slalom ski.

45:12Oh, yeah? If you want to learn how to wake surf well, let me know.

45:15Travis Kalanick:I've only been water skiing once or twice. It was 20 years ago. I go at 7.30 in the morning every morning. And I'd say half the time I'm out there at 8.30 when I leave the office. That's amazing. I love it. That's what we do. Beauty of summer. Thank you so much for coming on the show. Always a pleasure. Have a great rest of your day. For sure. Good to see you guys.

From the publisher

This is our full interview with Travis Kalanick.

We discuss his new $1.7 billion funding round, why he's betting on industrial AI instead of consumer AI, how autonomous mining can increase productivity by 30 to 40%, why he believes AI will make food dramatically cheaper, what he looks for when hiring executives, lessons from scaling Uber, the future of robotics, AI regulation, and why he commutes to work on a jet ski.

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