podcasts / All-In with Chamath, Jason, Sacks & Friedberg / episode
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Money & Business
📅 2026-07-20 ⏱ 41 min episode · ~3 min read 📝 Transcript · 8,017 words 🎙 Mark Cuban

Mark Cuban on the AI Bubble: Who Actually Gets Wiped Out?

All-In with Chamath, Jason, Sacks & Friedberg · All-In Podcast, LLC · Transcript & summary by WhipScribe

Forty-five minutes of Cuban with a thesis on exactly who eats the losses if AI unwinds, plus the mechanics of the Yahoo collar told first-hand.

In this episodeLovableAnthropicOpenAIPalantirAlex KarpLina KhanGoldman SachsYahoobroadcast.comOpen EvidenceMatter.comSynthesia

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▸Notable quotes

“there's going to be a lot of data centers that are going to be turned into pickleball courts” Mark Cuban · at 2:38 — open in the transcript →
“If you need to have forward deployed engineers, that tells you all you need to know about AI” Mark Cuban · at 9:09 — open in the transcript →

▸What this episode covers

Cuban's opening claim is that this is not a dot-com rerun: there are no zero-revenue companies IPOing to retail buyers, so a bust would not hit most Americans directly. The exposure sits with VCs, PE and private credit funds who deployed at peak prices, and with market leaders funding hundreds of billions of capex through borrowing — 50-year bonds layered on top of an existing private-credit problem, which he calls planning for perfection. His fiber-optic analogy does the work: just as bandwidth breakthroughs stranded dark fiber that later sold for pennies on the dollar, a price-performance breakthrough in AI could leave data centers that can't get power turned on being converted into pickleball courts. His hedge on his own prediction: if he's wrong about the data centers, it will be because video and world models drive demand he isn't counting on.

The middle stretch is Cuban the operator. He tells portfolio companies to go public because stock is acquisition currency — a lesson from broadcast.com, where he bought five companies with stock, and from the famous Yahoo collar, which required Goldman Sachs to build a custom index of internet stocks he could short before a real collar was possible. He lost tens of millions on the short and considers it one of the great trades anyway. On AI itself he is bullish and dismissive at once: enterprise deployment is far harder than promised, and the fact that Anthropic, OpenAI, Microsoft and Palantir all need forward-deployed engineers is, to him, proof that AGI talk is premature — 'you should just be able to ask AI to do what I need you to do.' The opportunity is the gap: anyone with basic computer literacy can walk into a business and fix the failures AI leaves behind. He cites Lovable, where he's an investor, as the counter-case: 770,000 applications built per week, only 20% of users engineers.

The back half ranges wider. Health: he has ten years of his own blood-test data, uses Open Evidence to untangle a supplement-medication conflict, and sees self-directed healthcare as an early AI win that still won't replace doctors. Politics: DSA-style socialism is a local phenomenon, elections are decided by whoever controls the algorithm, and his stated hope is that truth-seeking LLMs — whose currency is correct answers, unlike social media's engagement — become the counterweight. He recounts calling the Berkeley economist behind Elizabeth Warren's wealth-tax model, who admitted it modeled a single year with no behavioral analysis. And he closes on the NBA: the second apron ends three-peats, the Knicks' title, and franchise valuations now riding on streaming subscriptions rather than attendance or ratings.

▸About the guest

M
Mark Cuban

Entrepreneur and investor who sold broadcast.com to Yahoo, longtime Dallas Mavericks owner, and backer of Lovable, Open Evidence, Synthesia and Matter.com.

▸Key takeaways

01Mark Cuban puts the AI downside on the VCs, private equity and private credit funds that bought at peak prices — not on retail investors, as in the dot-com bust.
02Funding hundreds of billions of capex with 50-year bonds on top of a private-credit problem is what Cuban calls 'planning for perfection'.
03Cuban's dark-fiber analogy has surplus data centers ending up as pickleball courts if a price-performance breakthrough strands the capacity.
04Lovable, one of Cuban's investments, ships 770,000 applications a week with only 20% of its users engineers.
05The forward-deployed engineers that Anthropic, OpenAI, Microsoft and Palantir all need are, to Cuban, proof that enterprise AI is nowhere near the AGI narrative.
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▸Transcript

Our own transcript of the public episode, with a timestamp about every 75 seconds. Tap a timestamp or the link button on a paragraph to copy a link that opens this page there.

0:00You and I lived through a couple of bubbles. We've seen this movie before. And this wave seems very different than the dot-com wave. So let's talk about that. Are you concerned about a bubble? We're seeing bubbly-like behavior, people. It's not the traditional dot-com bubble, right? Because back then, there were companies going public, getting crazy valuations, and people are buying them. And the stock would go up 50%, 100% with companies that had no revenue, no traffic, no nothing. And you'd go get a cab back then and people would be talking about them. Yeah. And you don't, you don't see that at all today. So it's not a bubble that's going to impact most people in the room, right? Or most people across the U S but it could just destroy a lot of VCs and a lot of funds and a lot of PE, right? Because they're going all in. I'm going all in. Applovin started with an $8 domain and no VC funding and became one of the largest ad platforms in the world. Now that same engine powers Applovin ads for e-commerce. Your ads run inside mobile games reaching over a billion people with full screen, distraction-free attention. The platform finds buyers and optimizes for profit. You set the target, it does the rest. One cookware brand went from $4 million to $16 million, turned profitable, and is on pace for $80 million this year.

1:18Visit applovin.com slash all in to launch your first campaign today. I'm doing all in to launch your first campaign today. It used to be that product managers for brokerages had to outperform their numbers, right? For the SPX or whatever. But now you got to outperform to keep the money coming in. You got to outperform the fund next door. And they're all in anthropic and getting their outcomes at SpaceX and celebrating. But if shit hits the fan. Yeah. It really is like I've only done venture for just over 10 years and it is wild to watch so many people who deployed at the wrong time just out of business. They just invested at the peak and entry price matters. And you and I have been in a bunch of deals together and we used to get to investing companies at 5 million, 10 million as angel investors. And then all of a sudden the request was 40, 50, 60, and the product's not launched. And you're like, how does this work? Yeah. And what's happening now is the market leaders, Google, et cetera, Meta, they're borrowing hundreds of millions of dollars. Yeah. That's interesting. And there's already a private credit problem right now. Right. So you just layer on private credit, like Al Capital getting all the refunds. And then you have these huge companies that have cash flow, but they're spending all

2:38their cash flow on CapEx. And then they're borrowing on top of that. 50-year bonds. Right. That's planning for perfection. Right. And that's going to be hard. And we're building these data centers. And if there's a price performance curve on AI that minimizes the power requirements, there's going to be a lot of data centers that are going to be turned into pickleball courts. Interesting. Because they just can't get the power turned on. No, and then just the power. Just everybody thinks that, okay, there's going to be so much more utilization and there will be, right? It'll just scale like everybody expects, but there's going to be breakthroughs and technological breakthroughs as well. Just like we saw fiber back in the day, it was all about putting in fiber. Then it went from one gigabyte fiber to 10 to a hundred gigabyte. And then there wasn't a fiber problem anymore. There wasn't a bandwidth problem anymore. It was quite the opposite. We had dark fiber that people bought for pennies on the dollar. And just sitting there, right? And how is it not going to be the case that we don't get the same price performance improvements on the AI side and on the data center side? Yeah. And then with all the hate going against data centers, I think that could be protecting them. And I mean, committing tens of billions of dollars for 10, 20 years going out. Yeah. I mean, nobody can predict that well.

3:55I mean, you used the word pricing to perfection, I think, earlier in the conversation. And that's really what's happening. I mean, you have to have a thesis that we're going to put 100, you know, OpenAI, $100 billion to work. And that's going to come back not just in revenue, but it has to come back in earnings. Margin dollars. Yeah, it has to be profitable. Yes. And you just don't know, you know, and I'll tell you the other in terms, the corollary for bubbles, right in this particular bubble, because it's so driven by private capital, then you want to have some sort of currency that allows you to buy all those companies. Like you guys were talking about buying different legal companies, right? Well, if you don't have that currency, the stock is currency, you're going to have to go out and raise money to do it. And if anything happens, and that money is not cheap, that money is really, really expensive versus if you go out and you do a $100 million IPO or a $50 million IPO, and you can do a

5:13secondary or whatever as many times as you need if you're performing. But the minute that company that you're competing with that is a legacy business can't keep up or there's some other company that has domain expertise that you need or data that you need, like you guys were talking about. Yeah. You want to be in a position to buy them. Yes. That is nobody's forward thinking. Yeah. No one is forward thinking like that at all. And I'm like trying to tell my my portfolio companies go public, go public. Yes. They just don't think that's the right thing to do. Well, an M&A is, you know, not to make this political, but, you know, when you're an entrepreneur, you have to play the game on the field. M&A was off the table. Lina Khan had a certain perspective, which was we have to be like precogs in minority report. We have to predict who's going to be a monopoly in the future and stop them now. It's like, okay. Without consideration to compete with China and everything else that's going on globally. Yeah. Right. Four years of no acquisitions. I mean, the people I talked to who were in corporate development were like, we've been told to stand down because it's not worth the breakup fees. But even so, right? With mergers and acquisitions at that scale, fine. But if AI does what we know it will do, the companies that are disruptive don't have to be enormous companies no you don't want to have to always raise cash

6:30to go out there it's such a good insight like right because like back in the day back with broadcast.com we bought like five companies just yes and then there was always a bigger fish to come along which we were happy to you know yahoo yeah yeah the famous collar uh if you were a clawed employee if you're at anthropic you're at open ai is it uh time to start thinking about the collar to try to think about yeah yeah pairing the position you know i collared my stock because how rich do i need to be right you know and if you if you're able to change your life if i work for any SpaceX, any of them, whatever, I'd be like, somebody put together a collar for me because I just need to be protected, save part for my upside, but just cover my downside. Yeah. When you did it, you had to actually orchestrate that, right? It didn't exist as a product. No, it didn't. So I had to actually create an index of internet stocks. I had Goldman Sachs create an index of internet stocks that I thought sucked. And then I shorted that index and we had to follow all the laws. And I just had to have that short in place until I was able to do a real collar in the market on my Yahoo stock. And I lost tens of millions of dollars on that short, but I made up for it.

7:46Yeah. I mean, one of the great trades of all time. What do you think this wave of capabilities in AI, I'm sure you play with it because you've always been a tinkerer. Yeah. So maybe what are you tinkering with and what do you think is going to be the most world-changing, you know, in the next five, 10 years for entrepreneurs, for society? Where do you look at it and go, hey, this is truly meaningful. Yeah. Okay. So AI is a lot harder to implement than anybody expected. For sure. Right. You know, you can do an agent pretty straightforward, right? You can prompt away, you know, we cheated on tests, we, you know, can do an agent pretty straightforward right yeah you can prompt away you know we cheated on tests we you know cheated at work you know did projects improved our productivity 100x right all easy peasy and we just assumed that you know at the enterprise it'd be just as easy it's hard yeah and it's terrifying and not terrifying for employees because dario and everybody's saying 50 of white color people are going to lose their jobs jobs. Here we are two years later, they said within two years and employment's still growing. People are hiring. We need more AI literate people, right? So CEOs have no clue what is going on, none whatsoever. And that's not going to change, right? And so trying to explain to them that you need to add a harness to this, there's no chance.

9:09And if you think about it from an AI perspective, if AI, we're talking about AGI and we're talking about taking over the world. If you need to have forward deployed engineers, that tells you all you need to know about AI, because by definition, you should just be able to ask AI to do what I need you to do and ask and tell me how to implement it, right? Yet here you have Microsoft hiring 6,000 people, right? You have Anthropic, OpenAI, all saying they're going to deploy to these companies, which tells you AI is hard. And then you have Alex Carb from Palantir freaking out companies, which tells you AI is hard. And then you have Alex Karp from Palantir freaking out saying, how can you give your alpha to these companies? When in my opinion, he's just saying, they're doing what we're doing, right? We're all about forward engineers at Palantir and they're doing the same thing. And again, it's a great insight because you can, if you're using it as a search engine or you're making your little agent to go do your cron job, okay, fair enough. It's going to work. You need to have a little bit of systems thinking, but when you start putting into the enterprise and this is mission critical work. Let's just talk about the little bit of systems thinking because that's the second part. I'm not trying to shit on AI. I love it. I invest in it. It's going to be amazing. It's the most impactful technology that we've ever seen and may ever see, right?

10:29But try going into cloud or chat GPT and saying, okay, I just want you to do this search for Jason Calacanis investments. And I want you to do a report and I want you to email it to me every week. Yeah. You can't do it. Can't do it. And then it says, okay, would you like for me to do an agent that gives you alerts? And then you say, sure. And then you have to know how to program because it either gives you a JSON file or it gives you, you know, code. And it comes out slop. Yeah. And then you have to go back. It's not correct. Right. You have to reiterate. You know, if you want to say, you know, hey, let me load a picture in and you tell me if I'm hot or not. Or is this girl hot? What should I say to her? You know, we're business versions. Great. Yeah. Right. But AI is not going to, you know, take away 50% of the jobs. There's just so much it can't do that regular people need it to do. Yeah. Right. Now, does that create opportunity? Enormous opportunity. Yes. Right. So, like, I'm an investor in lovable and we were here this morning talking and, um, and so I was saying that Anton was saying that, um, they, people are using lovable to create 770,000 applications a week, a week. Yeah. Right. And that only 30% of their business is in the U S and only, um only 20% is engineers. And what's happening is

11:48entrepreneurs, to answer your question about where it's going, right? If you're an entrepreneur, like he was saying before, there's no better time to be an entrepreneur. He nailed it, right? Because that's where AI is the most impactful. No matter where you are in the world, they have big utilization in Brazil, India, right? If you're in France, US, wherever, you know, like I gave it a prompt, like I said, then I wanted to be able to send it to me every 24 hours. And I want you to create a patent and a business plan and tell me what licensing or whatever I need. 12 minutes. Yeah. Wow. Like, dude, just know we've started tons of businesses. Yeah. Six months to get a prototype, 12 months to launch it. Yes. And then you have to. And then I asked for a bill of materials and the source companies like the basic stuff to be that the blocking and tackling stuff that every company has to do at you know when you're setting it up and early in its life cycle done done and even if it's wrong so what because the one thing you and I both know and everybody in the room should know, every

13:06single motherfucking business plan ever written in the history of business plans is wrong. Of course. Yeah. It's a thought exercise that at least gives you some sort of direction you're going. Yeah. And it's a guideline and a template for you, right? But it's wrong. Yeah. We're going to iterate. So what if the AI is wrong? If the model is wrong? You know? it's wrong. So what if the AI is wrong? If the model was wrong, you know, cause you're going to learn and you're going to iterate, but it's still, again, all this talk about taking white collar jobs is ridiculous when it can't even do the basic. Right. And you have to have, like you said, a programming mindset in order to be able to iterate and figure it out. And like, even you would think if AI is advanced as we want to believe AI is right now, all the errors that we get when we ask it to do a project, it will learn from all those errors and even have, hey, I'm Claude. I see you have a problem with this, right? And it failed on these three attempts. Let me just tell you what 97.6% of the other people who ran into this did, right? And then it would fix it for you. It doesn't even do that. It just says failed, right? Or it says whatever. You know, again, AI is amazing. And particularly for programmers, it's game changing. Yeah. And when you have a narrow data set like

14:21code or legal, it's, tax, it's magic. Yeah, and it's just math, right? It's going to nail it. Basic data, right? But when normal people anywhere in the world want to use it for normal stuff, great. You start a business. Great. But if you want to start getting advanced, it's like figuring out PowerPoint used to be or Excel, right? You always have to have your Excel expert, you know, or your PowerPoint. And your company. Yeah, or whoever that you knew, right? Or there would be companies built. I invested in like a company that's SlideShare, that all they did was have PowerPoint templates that you could download and redo. AI is not even that advanced for, you know, once you get to the second level. And so that creates so much opportunity for anybody to walk into a small, medium size, even large business and say, hey, I understand AI. I have a basic computer background or better. And so all these fails that you're running into across your company, big or small, I can help you fix them. Because what AI can do once those issues are fixed is phenomenal. But even better, if you're thinking as an entrepreneur to start a business, those things

15:38will eventually break. Agents get bored, right? And they drift. Because as the underlying large language model starts to change, the way it was originally programmed doesn't match what the large language model turned into, right? You see what I'm saying? Yeah. And you even wrote something about this, right? Where it's taking more people to manage all this stuff. Starting a business usually means juggling a bunch of different services just to look legit. Not anymore. With Northwest Registered Agent, you get a complete business identity all in one place. A business address, domain, website, phone number, and more. With privacy protection built in from day one. Don't spend hundreds or thousands on services you can get from Northwest for free. Visit northwestregisteredagent.com slash all in free and start using free resources to build your business today. I'm trying to get the whole firm to be AI first. And even with young people, it's like one group embraces it and they solve, I don't know, let's call it five or six really pressing issues. The other group is not embracing

16:55it. And the difference between those AI first employees and the non-AI first employees, the gap is like, whoa. It's almost like when we got into the industry and somebody knew how to use the office suite and a PC, and then somebody else was like on legal pads. It's like that much of a difference. It's so stark. People who are AI literate, when do they run into a ceiling? Well, what I'm seeing is a lot of tool hopping, which is a good question because they started with OpenClaw. They started building it. It got brittle. Wait, is anybody still using OpenClaw? Who's OpenClaw? Anybody using Hermes agent? Okay, there you go. Who's on Claude Cowork? And then, oh, whoa. And Perplexity Computer, anyone? Okay, interesting. Those are the four that people have been bouncing around on. And what I decided to do is I was just like, hey, token max it. You can each spend a couple thousand dollars a month. I don't care about that. I just care about the gains. And they all wound up going from OpenClaw. All the agents started breaking. It's hallucinating. It's like too frustrating. They started using Cloud Cowork. Okay, great, but kind of limited. And then they started using lovable and they built intranets for the venture business that no venture business would spend a half million dollars and

18:1312 months building an intranet. Like you'd just be like, I'm going to put it in notion, Google sheets, whatever. And then they just started building more and more software. So I have two or three people who are building software that I would say five years ago, we would have spent maybe two or $3 million a year building this with that outsource company. You just would not have done it. Which means we wouldn't have done it. Right. You would just bought the SaaS application that did it. And then we would have tried to like shoehorn it into a SaaS app and customize it. It wouldn't have worked and we would have given up. But how are you going to manage it now once they get there? Well, you know, again, to your company, Lovable, which man, congrats on that investment, because that company was going to manage it now once they get there? Well, you know, again, to your company, Lovable, which, man, congrats on that investment, because that company was going to go out of business four times. And I told Anton, every time they say you're going out of business, you add $100 million in revenue, $600 million in revenue. And four times, $200 million, $300 million. Oh, yeah. It's going to be absorbed into the frontier models. It's going to go to the rest of the world, right? Yeah. I mean, I've got Lovable. I've got Synthesia.io. Oh, yeah. I was the first investor in nice 10 years ago maybe that that are just it's just killing it right i've got ami which is y'all lacunes world model yeah we haven't even talked about world models versus llm and transformers because everything we do is built on text and pictures yeah nothing's going to be text and pictures. Yeah. Nothing's going to be text and pictures in 10 years. Right. And, but what's going to drive it. And like people say, well, AI is so smart. It's going to change

19:30everything. I'm like, okay, if you tell AI, if you show AI a video of a two-year-old on a high chair with a sippy cup, the, the two-year-old knows if you push the sippy cup over the edge, mom's going to come running and the AI and the kid's going to start laughing. AI's got no clue what's going to happen. None, right? If you're at a corner blindfolded and you have to cross the street, would you rather have a video? Would you rather have your phone with AI or would you rather have a seeing eye dog? Yeah, dog. I'm taking the dog every time. Of course, yeah. It's not ready. Right? Yeah. It's not ready. So just think about how far we have to go. Yeah. You know, and all this- Huge opportunity though. I mean, the world models are crazy because you have videos available on YouTube and just, we have the world there. So it's gonna learn- And that's still not enough. It's not enough. They have to wear gloves and now they've got people in Manila doing recipes. So I invested in the company Matter.com. And they're launching satellites. And they do spectrography where they use the satellites to take videos of everything underneath them and use a spectrograph. I don't even understand all the shit. In order to be able to convert it into a world model that will provide algorithms that other world models can use.

20:49Yeah. Right? There's just no way that the future of AI doesn't include video. I mean, it's a huge part of it. And as the inference and the back to the build out of these data centers, as we wonder what's going to happen, people wanting to use more tokens and then these world building and video, man, that takes a magnitude. Yeah. Like if I'm going to be wrong on the data centers, it's going to be because of video. Yeah. Right. And world models and robotics, which is all related. Yeah. And robotics, you know, it's related, but we still got a long way to go. Yeah. Health. You look great, by the way. I don't know what's going on. You got the, what do you got, Reddit True Time? What's on the menu here? What's off the menu? Follow me on Instagram, mcuban. I just, I'm eating better. I mean, you look better now than 20 years ago. Oh, I appreciate that. Thank you. The tan helps too, right? The tan. But I mean, you look thin and fit. And listen, we're getting up there now. We're not kids anymore. Um, this is definitely going to help, uh, AI, all the work being done. And I use it too. Like I invested in a company called open evidence. Yes. Yeah. Which is just for medical. Right. And, um, I used it and like, I have two, I have one supplement I have to take because my iron

22:05levels are low and I have to take this one medication. And I was taking them at the same time and couldn't understand why I was having problems. I run it through open evidence. And I said, here's everything I'm taking. Here's everything I'm eating. And they're like, no, you got to do this. You know, when you get up to pee at three in the morning, take this medication. Oh man, getting old sucks. Yeah, right. I was, I was right there with you last night. What's going on? What's going on, right? And so, you know, but for health, it's going to make a huge difference, but it's not going to replace doctors. No. But I mean, it is pretty amazing. Are you on Whoop or your Apple Watch? I watch, yeah. Yeah. I mean, the Apple, the Whoop Plus getting your blood test, just self-directed healthcare with AI, man, you're going to get some early wins. And then when you do go talk to your doctor. Oh, you have it right there, right? You have it right there. I get my blood tested, you know, now the prices are still up three to six months. Yeah. Right. And I've been doing it for 10 years. So I know all my trends. Wow. And so you were doing it before function and superpower and all those. Like you could go look up Mark cuban blood tests on twitter right x and i would get into it with doctors like eight ten years ago and saying you're going to need this for your benchmarks and um but it's only going to get better yeah oh it's going to be really interesting we had this big data moment and it

23:20was like okay yeah we're storing all this data but we didn't have any intelligence against it now that's incredible when apple is now putting that data. They're doing studies. I don't know if you've been invited to studies on your Apple Watch. I'm like, well, this is going to get very interesting. Boop, just added blood panels. So now your sleep data, your steps, your heart rate, your respiratory, EKG, plus your blood work. Then if you can get your diet into it as well. Yeah. That's what I watch as an eye health, right? Yeah. So yeah, you're just going to get smarter, you know, and that'll make your doctors able to be smarter because 95% of medicine is guessing, you know, because you can't, there's no way a doctor can memorize all the new that happens every single day. You just can't't but a doctor using these tools having you know the empathy and the ability to communicate and the ability to see yeah right because again there's you can't see yeah you know you could have doctor you know why am i bleeding you got a blood looks like you got a gunshot wound right right? AI is not going to tell you that the way you are today. When we look at the opportunity here, it's going to be a lot of change, a lot of talk about wealth disparity in the U.S., Invest America,

24:41our friend Brad Gerstner and our friend Michael Dell, another great Texan. And thanks for welcoming me. I'm enjoying my time in Texas. Yeah. I mean, it's great. I love Texas, man. Texas is fun. It's kind of like the heat's kind of like this, though. Yeah. We have air conditioning. We do have air conditioning. There's a record number of air conditioners coming from China to Europe this summer. You know, I looked at what companies installed them and everything. Oh, you always got to trade. You always got to trade. I'm curious, but there's no real... Sold out. They're all being shipped here from China at the moment. But really interestingly, you know, feels like entrepreneurship, which has been our shared passion for many decades, hey, investing, another shared one, giving people access to public markets, invest America. We have this dueling narrative, socialism in America, capitalism. And it feels like this is the, in our lifetimes, you and I are close in age. This is the most fevered we've ever seen it. I mean, we have states, maybe not since the 60s or 70s. I missed that. I was born in 1970. You were born, I guess, 1943? 23 70s. I missed that. I was born in 1970. You were born, I guess, 1943? 23. 23. I always joke he's my older brother. I look good too, don't I? You look good for 1923. But, you know, this is pretty polarized. What's your take on the socialist?

25:58There's two things here. One, all the DSA stuff is local. Right. It's really easy to be Mondami in New York when you have a budget, you get to control it. And it's local, right? You got elected. You just do. And you have to balance the budget. And you'll see it in Michigan and wherever else. I don't think it's going to be game changing. But the more important thing is the people who are doing this are the people who are best at social media. Right. You know, because the algorithms drive how people vote in the United States. I can't speak for the rest of the world more than anything else. Whoever controls the algorithm controls, you know, the election in many cases. Trump knows how to use it. And what what to Mondami? You know what? What is unique about Mondami relative to Trump? He's what, 31, 32 years old? Yep. His whole adult life has been Trump and social media. He studied it. And the two together. Yeah. And the guy in Michigan, same thing. So if you're good at AI, I mean, at algorithm, you know, driving algorithms, whether it's flooding the zone or, you know, like Trump saying they're eating cats and dogs. Yeah. It's just attention. Yeah. And it's just, you know, like Trump saying they're eating cats and dogs. Yeah. It's just attention. Yeah. And it's just, you know, defining the algorithms because whatever you search for, you get more of. And if they can get you to search for what they're saying and show your interest,

27:16then you're going to just get Mondami 24 seven and you'll get the positive size of Mondami. Or if you happen to be on the other side of the aisle and you are looking at stuff that's counter to that, you'll get more of that. We don't like, but one other piece I think is starting to change that. And that's the large language models. The thing that I think will save us as a world more than anything else in terms of information availability and reducing the information asymmetry as it applies to politics or large language models. Because large language models have to be as literate and literal and honest as they possibly can. Truth-seeking. Yeah, truth-seeking, better way to put it. Yeah. So they have to seek truth. Otherwise, you'll lose trust in them. And the last thing, you know, cloud open AI needs is, well, you know, they're lying their ass off about this. Yeah, their currency is getting you the correct answer and the correct knowledge. Social media's currency is keeping you engaged, right? It's two different missions, totally different missions, right? And so you're not going to get rid of social media. But I think people, as they become more uncertain with their politics, are going to go more and more and more to large language models and say, who should I vote for? And the large language models are going to come

28:35back and say, well, what do you think about this? What are your interests in this? And they'll give you honest answers. Yeah. And if you ask it, hey, what's a reasonable immigration policy? It'll give you a reasonable immigration policy, which is like, yeah, maybe shut the border and do a point-based system like Canada, New Zealand. Whatever it may be, right? Yeah. I've done the same thing and it's impressive. Very impressive. You know, my favorite troll now is like JD or AOC will, you know, they'll come out with whatever their craziness is on either side of the aisle. And then I'm like, at Grok, please vet these claims. Be as objective and factual as possible. Check your work. And show your stories. And then it just replies to them. So I've been just totally trolling Stephen Miller. Oh, my gosh. Who, you know, he's like anti-immigration. I'm very passionate about like legal immigration and recruiting great people because. Right, you need them. We need them. If every running a basketball team, every time you get dirt in a whiskey, somebody else doesn't have them on the team. You get Joe and Brunson. It's not on the Mavericks anymore. Now he's on the Knicks. Yep. You know, like, well, that's why we come to these things in Europe, right? Yes. Because great talent, right? Smart people. Obviously, you guys are geniuses for being here, you know. But at the same time, there's a different vibe in every European country and India and the whole rest

29:53of the world, right? And I think you're starting to see some entrepreneurs leave us to come here. And that's scary. And hopefully, you know, large language models seeking the truth will help educate people away from what the algorithms tell them. Yeah, I think it's important. You optimistic now? It's been pretty chaotic, but we're seeing such great progress. You're optimistic? About? Let's start with America and then we'll go to humanity. Yeah, no, I mean, you know you know like every country we have our issues um ours just happen to be kind of insane um it is pretty wild yeah um but the good news is you know we have term limits for our president yeah and yeah and it seems like 12 or three terms is going to be the one for president. I mean, you're going to run? I mean, I hope you do, man. I would love to be your press secretary. That would be a bet. We'd have so much fun. We would have fun, though. We'd have fun. We would have fun. Well, if he decides to run for a third term, then I'll run, but he's not. Yeah. Okay, that's good. That's breaking news. I mean, honestly, if you think about what we need i think in leadership executives who can i think you know who are like post money post needing to

31:15make a living uh no i'm not gonna even go there well and then maybe who are doing it for love of country and maybe some amount of civic pride or i get what you're saying right and it's just like you know in the u.s what the democrats don't know how to actually do anything right you know they know how to take whatever happens and extrapolate that to the end of the world and the end of democracy right yeah but and the republicans on the other hand you know do crazy shit right like they don't care about the people in the country. They don't you know, there's no connection to people. There's no empathy. And so, you know, we're in the short term. But I think as we get past this next the midterms and the next presidential election, I think we'll get back to normalcy. I think people want it. And, you know, the thing that has been really eye-opening for me, having lived in New York, California, and now Texas, in Texas, we're spent half as much money per, sometimes less, I think it's 2.2 times as much is spent on each citizen in New York. And we spend half as much, right? It's $6,000, $7,000 per person. They spend like 14 or something, 12 to 14. And the quality of life is better. But on the flip side, New York contributes more to the federal treasury

32:32than Texas does. And you would think it should be the opposite, right? Just because of the business and how things are run. So they're a trade-off. Yeah, but it's changing. What do you think about all of us moving to Austin and like Texas? You guys- Smart, obviously, for obvious reason, particularly, the wealth tax shit is just dumb ass, dumb shit, crazy. They tried it here. Everybody left. Yeah, it doesn't work. Yeah. And they did it for about two years in France. Did they? Yeah, I don't know. But when Elizabeth Warren first proposed the wealth tax, so I found, and she said, well, we have these models and everything. So I found the economist at UC Berkeley. And I said, would you share your model with me, or at least tell me about it? He goes, I'm like, was it more than one year? And he goes, no, it was just one year. I'm like, did you do any behavioral analysis to see how people would respond to the changes? No. And so whether it's Mondami, Elizabeth Warren, whether it's California, it's showmanship more than reality. Yeah. And I think people are forgetting that people are mobile. In the US, it's pretty extraordinary. You got Travis, Sax, myself, Elon, just a bunch of folks have all of a sudden just shown up. Whenever I was there first. You were. I remember talking to you about it. The thing that's amazing to me is in California, they won't let you build

33:48anything. And then we go to, I come to Texas, I buy a ranch and I asked the guy like, hey, can I like put a solar farm in here? He's like, on your ranch? I'm like, yeah, here. He's like, oh, son, it's your ranch. You can do that. And I was like, can I, can I like build like. Trust me, in the cities themselves? Yeah yeah i do that in the city of austin i mean but just outside of it you can build whatever and the housing prices have gone three three years in a row housing prices and rents have gone down when you build a company in austin now i'm sure it's like that in dallas and houston and san antonio when i have founders move there, the entire pressure is released. People can own a home. And I was like, wow, is that- Why do people still go to Silicon Valley? That shit drives me- I think if you're a first-time founder, nothing better in terms of soaking in it. But when you're a second-time founder- No, you're soaking in it, but what they don't tell you, the it is shit, right? Yeah, it's tough. I think second-time founders have now realized realized if i build it in texas or nevada or florida i'm gonna just all the talent in the silicon valley just sets people's heads so wrong yeah right so whether it's travis mike by the way i've known michael dell since we were 22 yeah and i used to do business with him way back when um but just the in tex, it's just like build your company and go. Yes.

35:05In the Valley, it's like, so are you series A? Are you series B? Are you series C? A lot of distractions. Yeah. 25 years I've been waiting for my Knicks to win a championship. And you played a significant role. No, the Spurs played a significant role. They should have kicked your ass. And why didn't they? Why didn't they? I think it They should have kicked your ass. And why didn't they? Why didn't they? I think it was coaching, lack of experience. Yeah. Because you're up, put aside the 29, right? You're up in the fourth quarter of every game. Wemby throws it into the back of some guy, misses two free throws. De'Aaron Fox goes the wrong way. A lot of mistakes. Yeah, and you'd be talking about firing Mike Brown. I mean, we were concerned when he got hired and getting rid of Tibbs. Oh my God. But JB was the real deal, right? He was my Indiana boy OG, right? He, you know, he saved you guys. Yeah. And you had Jalen Brunson. He left and that was kind of destiny. His family wanted to come. That's what he wanted. I mean, I could show you a text where his agent you know texted me says he wants his own team he wants his own right yeah he was ready to go and i i texted or emailed you and i said what's the story of the this is what we're gonna base the franchise on you said he's really good he's the real deal i love he's a great guy that's the best part about jb he's just really a good human. I was there for the fifth game,

36:27six rows behind the bench. That's cool. And man, I just cried. I just cried. It's been so many years. And you got your chip too with Dirk. It's so amazing how sports plays such a role in so many people's lives. Yeah. Especially now look at the world cup. I mean, it's just like sports has just changed everything. And you know, like I've been to four world cup games in Dallas and I hate soccer football, right? I hate it. But just the whole scene, the vibe, the energy, you can't beat it. It's like going to a Knicks game, going to a Mavs game, same thing. Yeah. And the NBA is NBA, is it peaked? It sounds like... It's hard to say. I mean, you know, for fans, no, because I mean, it just grows on social media. You know, I went, I was walking in Paris and there was a basketball store, you know, and had Wemby jerseys and Gobert jerseys and everything. And so, I mean, it's just growing globally. Yeah. Is Wemby the real deal? Yeah. He's got, he got humbled though. Yeah. Which is good for him. It's like Dirk in 2006 got humbled and came back better. Wemby will come back bigger, stronger, better. Yeah. It's amazing how he went from this like incredibly, I don't know, there was a magic about him to, no, he's a villain. And he turned into a villain.

37:45Because it was New York and 50 some years, right? And just the circumstances. And, you know, San Antonio thought they had in the bag, everybody. It's like, I went to Indiana University, right? And if anybody here follows college football in the States, like we were the ultimate underdog. We had not had, you know, we had not won 10 games. We had, we beat more top 10 teams last year than we did in a hundred plus years of the program. And so that, that just changes people's attitude. You've were very much involved in rule changes and what we're going to get on AI next, but it's just great to talk to you about this since we're both such super fans of the NBA. Seems like the rule changes, the apron and, you punitive it is, has created a lot more parity in the league. And nobody knows who's going to win. Well, because you have to break up your team, right? Because at some point, OKC will have to break up their team. That's why they collect all their draft assets, because you can't have three max players. And if one of them turns out to be hurt or not what you expected, then you're in deep shit, right? And so the second apron is just a complete game changer. And you have to be so much better at putting together a team than you were before. And you have to get lucky. Like the Spurs have Wemby on a rookie contract.

39:02You know, the OKC has got, you know, Hatchett on a rookie contract. He's not on a rookie contract. You know, the OKC has got Hatchett on a rookie contract. He's not on a rookie contract any longer. So they have to be even more careful. And so it really changes the strategy behind building a roster. So we're going to see back-to-backs or any more? No chance. No chance. Maybe back-to-backs, but not a, what do they call it when you have three? The three-peat. Three-peat, yeah. No more three-peats. There can be back-to-backs, but not a, what do they call it when you have three? The three-peat. Three-peat, yeah. No more three-peats. There can be back-to-backs. Like, you know, if Jay Williams, Jay Dub hadn't gotten hurt for OKC, I think they would have beat San Antonio, and I think they would have beat the Nets. I was worried about them versus the Knicks. I knew we could beat the Spurs, but I was concerned about OKC. You did not know you could beat the Spurs. I knew we would beat them. Come on. We beat them two out of three of the games of the year. We spanked them. I knew it would be like, I said Knicks in six. It was Knicks in five. You guys barely beat the Hawks. Oh, come on now. We were tweaking the offense and we just had to get Kat to buy in us points. Anyways, let's talk AI. Let's talk AI. But it is so great to be a champion. God, it was. Where's your ring? They didn't give you a ring? They didn't yet. No, I'm going to get it at the ring ceremony. You got one. You know, I always was like, man, I got to follow cubes and get, you know, a piece of a team. You'd always tell me you wanted to buy a team. I always wanted to get like a, you know, a piece of the Knicks. And now it's like my net worth doing great.

40:21The value of the team is disconnected from reality. I mean, my only chance is to call like Elon and be like- The crazy part about the valuations is it's not driven by attendance. It's not driven by wins or losses. It's driven by subscriptions to streaming services. And it's going to be interesting to see because it used to be, we looked at ratings, TV ratings, and people said the NBA was underperforming versus everybody else. Now the Knicks play, obviously there's some pent up demand there, but what really matters is the number of subscribers Peacock gets, ESPN gets. It's the ratings for ad sales, but it's more subscribers. I mean, I literally had to subscribe to like, I think one or two more services. Well, that's the whole point, right? And did you keep them is the question? Yeah, I'll keep them. Sure. I mean, will there be churn? If there's churn, who knows what happens with valuations? If there's not, valuations keep on going. Wow. It's so crazy. All right, listen, there's your 45 minutes with Mark Cuban, the one and only. I'm going all in

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