All-In with Chamath, Jason, Sacks & Friedberg - The Future of Everything: What CEOs of Circle, CrowdStrike & More See Coming in 2026

Episode Date: January 25, 2026

(0:00) Intro (0:50) Circle CEO Jeremy Allaire on stablecoins post-GENIUS Act, interest rate impact, growth in 2026, and the future of money in an AI world (52:33) CrowdStrike CEO George Kurtz on cyber...security in the AI era, most capable hacker nations, and more (1:17:53) Archer CEO Adam Goldstein on the state of eVTOLs in 2026 and when to expect them (1:42:27) Crusoe CEO Chase Lochmiller on powering the trillion-dollar AI buildout On Public, you can invest in stocks, options, bonds, and crypto. Plus, build your own custom index with AI. Get started at https://public.com— investing for those who take it seriously. Follow Jeremy: https://x.com/jerallaire Follow George: https://x.com/George_Kurtz Follow Adam: https://x.com/adamgoldstein13 Follow Chase: https://x.com/ChaseLochmiller Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect

Transcript
Discussion (0)
Starting point is 00:00:00 All right, everybody, welcome back to All In at Davos. We're here at the World Economic Forum for some reason. They invited me, and I'm here interviewing all the most important people in the All In style, which is full contact. We're always debating investment ideas on the pod. Well, generated assets on public lets you turn your ideas into an investable index with AI. You just enter a prompt like companies benefiting from power plan construction. Then, their AI will build an index of curated stocks for you and backtest it against the S&P 500. Then you can invest in it just like an ETF.
Starting point is 00:00:38 Go to public.com and check out generated assets. Public. Investing for those who take it seriously. I think most of us agree going into 2026, stable coins and AI, crypto having a huge resurgence. And we were lucky enough to get two of my friends, Brian Armstrong from Coinbase, and Jeremy O'Leare, who's the CEO and co-founder. of Circle. We've known each other for 30 years. Yeah, that's amazing. What a long, strange trip it's been. I know. It's great to be with you again. Yeah, and this is not your first time at Davos. You've been here a couple times. Yeah, I started coming with my last company, Brightcove back in
Starting point is 00:01:19 2008, 2009, and very different time, both for Weft. It was a different time in the world. There was great financial crisis breaking out everywhere. And that was an interesting backdrop. And And also notable, I always referenced that same week was when the first block of the Bitcoin blockchain was minted with the chancellor on the brink bailout kind of embedded in the blockchain. Yeah, it's fascinating. I think it's Game of Thrones, Chaos is a ladder. Chaos is a ladder. Yeah.
Starting point is 00:01:52 And for guys like us who've been through this, I guess, three times now, we went through it in the dot-com. Boom. I think we're too young to have, you remember obviously that Black Friday in 87, but We were in college, I think. And so we had our dot-com, great financial crisis, and then we had COVID. COVID. Yeah, which was also pretty spicy.
Starting point is 00:02:14 That was a great disruptive. But when you have those moments happen, I'm guessing for you, and many of the founders I talk to, you just think, this is the time to build. Yeah, totally. I mean, constraints have a huge impact on what an entrepreneur does. And even in the history of Circle, we've had extraordinary up and down, some of which are endogenous shocks, exogenous shocks, all of this. And back to that 2009, that was that year actually, I got my company profitable, Preycove
Starting point is 00:02:45 and then not long after it went public. And so, you know, we deal with what we're dealt with constraints, yeah. Yeah, constraint makes for great art is, I think, the old expression. So let's talk about your journey with Circle. Stable coins obviously are top of mind because we had the Genius Act, my bestie David Sacks, who's our crypto and AI Tsar for America, who's here with me at Davos, where I should say I'm here with him, he invited me to come. This technology is important. Why? I mean, look, when I got started working on this almost 13 years ago, Bitcoin had emerged.
Starting point is 00:03:25 And it was from my perspective as an internet technologist, I was thinking about, wow, this seems like a new infrastructure layer for the internet, like a missing infrastructure layer of the internet. The internet had ways to represent in data, media, audio, video, software, but there was no notion of money on the internet and there was no protocol for money on the internet. And it was very clear at the time that that was going to happen. And when we started, I wasn't convinced that everyone in the world is just going to use a new commodity money like Bitcoin.
Starting point is 00:04:07 My view is that we needed a bridge. We needed to connect kind of the existing fiat system to crypto and to these new networks and build like what we called like an HTTP for dollars on the internet. And that was the idea. And eventually that's called stablecoins. Early on, we talked about we're building fiat digital currency or fiat tokens or all this. Stablecoins stuck. But, I mean, the basic idea is we now have a general purpose, general architecture form of money on the internet, digital dollars, that can move just like everything else.
Starting point is 00:04:44 But that and can, you know, transact peer to peer, which is super, super powerful and provides a huge amount of value to people. And really importantly, because of the technology of blockchains, we actually have like programmable money. And so we're right at the front edge of kind of, I think, a renaissance in how money is used in the world. We'll come back to AI, I'm sure, because it ties into that. But, you know, fundamentally, we just, we need a native way to have money on the internet. We need a very safe form of dollars on the internet. And that's what stable coins provide. And variability and not knowing how much your dollar.
Starting point is 00:05:22 is worth when you open your wallet or your bank account was a blocker for consumers. Yeah, I mean, volatile cryptocurrencies, no one's going to buy a cup of coffee with the Bitcoin, et cetera. Yeah. So that's where the word stable coin came from. It's like, well, it's a coin, but it's stable. How do you actually achieve that is a whole different thing? And that's where, you know, the model that we built, which is fully reserved with, like,
Starting point is 00:05:45 ultra-safe assets and, you know, we have regulators look after it and auditors look after it and make sure it's all done the right way. And I remember talking to you offline about this. It was the easier decision for most people in crypto to go to the Zug. The Zug? What is it, Zug? Zug. The Zug, here in Switzerland, or just be based in Zurich or be based in maybe Dubai.
Starting point is 00:06:10 And, yeah, just yolo it. And don't worry about regulations. And don't worry about audits. Don't worry about regulators. You made a different decision. You told me, no, I'm going to do this buttoned up. And proper. And why didn't you go for the quick, you know, I'll just do this offshore and give up my United States. Or even go to jail. Or even go to jail. Why not? Yes. We have many crypto people right now watching this show. Yeah, from San Quentin. And yeah. I mean, look, show's popular there. I actually, you know, going back to like even in the founding of the company, when I looked at like, okay, if we want to like establish a new way to put like,
Starting point is 00:06:51 what we think of as regular money on the internet, and we want to actually build a new internet-native financial system that the whole world uses, like actually uses. Like businesses are you going to use it, and people are going to use it, and we're going to do loans in it, we're going to do all these things with it. Like, if you want it to work that way,
Starting point is 00:07:08 well, you know you have to integrate with the existing system, and you have to work with policymakers to figure that out. There's just no other way. So I testified to the Senate in November of 2013, and, you know, if you read it, read the testimony, it's saying all the same stuff now as I did then. It was received slightly differently.
Starting point is 00:07:27 It really was. Yeah, I mean, well, I got a lot of hate. Yeah, explain. Take yourself back to that moment in time where you know you're in the right, you're trying to explain how to do this correctly, and you get a reaction that is different than what you may be anticipated. Well, I think with a lot of technologies on the internet, you know, I was around. We were both around in early stages of the internet, early stages of the internet, early stages
Starting point is 00:07:51 of the web and there's sort of a very kind of hard libertarian view and then there's the, obviously like the statist view at the other end of that. And I lean libertarian, but I think also in the early days of the internet, it's like, well, if we want to allow companies to get on, well, we need to have regulation for ISPs and we need to be able to have secure transactions and SSL and well, then we're going to need people who are, you know, making decisions about who's a valid site and who's not a valid site. These were really controversial things at the time that I think the, you know, more anarcho side of things was against. And now, crypto itself, cryptography and crypto kind of
Starting point is 00:08:35 birthed out of that. And so like, these are people who wanted to be outside the system. Wanted to be outside, yeah. And so, you know, and I think Circle has always kind of tried to find this middle way, which is open public networks, permissionless innovation, building on public blockchains, using open source infrastructure. And really what you can do with something like USDC as a dollar and as a technology is far more open than the legacy payment systems and the legacy money systems. And so there is a very deep commitment to those fundamental internet ideas. But at the same time, like if you want BlackRock to use it or you want you want to
Starting point is 00:09:16 want to, you know, you want the biggest tech companies in the world to use it or you just want someone to hold it in a digital wallet and be like, yeah, this is actually a dollar and I can rely on it. Like, you end up needing to have this kind of structure around it. For trust. For trust. Yeah. Trust, you know, remains a key thing. And obviously, I think, you know, people talk about in code we trust is sort of the, what you know, kind of put around a puref- Easy for a developer to feel that way. Easy for somebody who is extremely technical to feel that way. Right.
Starting point is 00:09:49 But for, you know, a civilian, non-anarchist, yeah, maybe you want to understand how the dollar is actually backed. That's exactly right. Yeah. So I think we just took that path and like, and that was like a harder path. It took more capital. It took more. I had to hire, you know, my first executive was a general counsel and chief compliance officer. Right.
Starting point is 00:10:12 Well, you had to bring those in-house, I suppose, because if you went to a law firm, they would be like, we don't know. Totally. Don't take this risk. Yeah, I mean, one of the stories, actually, is that before Jim Breyer and General Catalyst would give me capital when we were starting the company, they were like, we really need to know that if you do this, it's not illegal. Like, we're not going to have some kind of liability issue.
Starting point is 00:10:38 And so I personally, you know, with my own money, like, hire. like the top kind of regulatory advisory firm in the world to like go look closely at this, like talk to people at the U.S. Treasury Department, talk to others, like really figure out, like, can we do this? And actually, we could. There was a path to do it. And that's because the U.S. Treasury Department actually had given guidance about how to deal with virtual currency in the banking system. This was in March 2013. So super early. But yeah, I mean, we needed to like, No, like, you know, is there a legitimate legal pathway to accomplishing what we want to accomplish? It's always been, you know, important.
Starting point is 00:11:18 And as we've seen, there's things that are legal and then there are incumbents. Incumbents will use the legal system to try to stop innovators. You've also faced a little bit of that, yeah? Yeah, I mean, I would say in the entire history of building this, it's been just, there's been huge uphill battles with regulators and incumbents. And what's interesting is that I found over the years that if you come into a policymaker or regulator and you say, hey, there's this, there's a new technology. It can improve things in this way.
Starting point is 00:11:54 We're trying to figure out how to deal with the risks. There are real risks. Like, let's not pretend there aren't risks. And like, let's come up with ways to address that. Like, actually, people are pretty interested in talking. And so I think there's, you know, that's, you know, that's, that's, that's, that's, that's, there. But generally, when you go to like the incumbents and say, hey, we want to like work with you or integrate this because we kind of need to work with you to make the whole thing
Starting point is 00:12:18 happen, like a lot more skepticism and I think kind of constraint there. And so that's changed now. I mean, we're in a very different world now. Now it's gone from a threat to an opportunity, but there is still a little reticence to stable coins in crypto by I think some of the major banks, and the big players because they're, maybe they're my perception is they're a little concerned that you're too good at what you do and you might be too far ahead. And if you weren't so dexterous at doing this incapable
Starting point is 00:12:52 and they started five years ago, they might feel differently about it. Is my intuition close to your assessment? Or am I wrong? I think that there's some truth in that for sure. But it's interesting, like it's both, you and I have this kind of juxtaposition against these other errors of the internet. And when digital media happened and it was like, hey, you could stream media or you could
Starting point is 00:13:16 put up content on the web and you could do all this. There are all these digital media startups and the media companies were like, well, we can do that too. And okay, our business model might have to change, et cetera. And digital advertising, you know, okay, well, you can transform advertising into this. Oh, it's more targeted. Yeah. All this stuff.
Starting point is 00:13:34 But then there obviously were companies that kind of executive. like fundamentally different technical execution, software execution. They built completely different types of utilities with completely different unit economics that kind of turned the product user experience and the economics upside down. And those, we know those companies. Craigslist to classifieds Google Ad Network to New York Times advertising. Amazon Marketplace. Yeah.
Starting point is 00:14:00 And many, many more like that. And so I think that we're in a similar place right now where, you know, a lot of media companies, absolutely, and communications companies as well, and enterprise software companies, there's big buckets here, retailers, like sort of said, okay, this is like a new paradigm, it's better for customers, I can deliver a better product, like the economics are better. We just have to do this. And we're going to, you know, innovator's dilemma, blah, blah, blah, and they make that transition. And it takes like five to ten years. It takes them three times longer than probably the innovator, like Walmart and Target actually do an exceptional job now. Yeah, they do. The United States,
Starting point is 00:14:38 Airlines app is not terrible. Right. I mean, it's not Uber, but- And this is a difference between like a software-driven company and not, we're a software company. Yeah, we're fundamentally. Of course we're going to go faster. Of course we're going to understand the U.S.
Starting point is 00:14:52 So the banks, now my understanding is some of them are threatened by the concept of a stable coin having the ability to generate points, incentives, or interest essentially. And that's kind of the sticking point. The Genius Act says, hey, you can have rewards, but you can't have interest. And that was, I guess, where this was able to get through the legislative process. Explain that to the audience. Yeah, so a couple things. So if you go back a few years when Stablecoin sort of emerged, all the biggest regulators,
Starting point is 00:15:32 bank regulators around the world got together what's called the Financial Stability Board and said, we have to have regulations around this. Like, this can't just go crazy. And that was also when Libra was coming out and all this, it didn't come out. But tried to come out. Meta tried to do their own project. And they gave up on that project, based on my insider information,
Starting point is 00:15:52 because the government felt they had too much power already with their platform. And Zuckerberg said, I have enough heat on this company already. I don't want to have another group of people thinking I have too much power. shut it down. That's what I was told by intern insiders. It's interesting as, you know. Is that your understanding as well? I have a variety of insights about it. But I think, you know, we're kind of like a neutral
Starting point is 00:16:19 company, right? We're not a giant big tech, et cetera. But kind of coming back to your question, regulators got together and said, hey, there is this payment system innovation. It is this thing called stable coins. And they all kind of said, here's some recommendations for how you could regulate this. And actually, all around the world, that happened. So it happened first in Japan, there's stable coin laws, and then it happened in Europe, years ago actually, stable coin laws, and then, you know, in the UAE and Hong Kong, and then in the US with the Genius Act.
Starting point is 00:16:48 And in all of these, stable coins are designed as like a cash-like instrument, a payment instrument. They're designed as this like form of money to be used in the payment system. And that's really at the heart of it, right? And that's how these laws have been written. And it's pretty consistent around the world. So Genius Act does that, but it also, I think, provides, so as a result, under the Genius Act, circle as a payment stable coin issuer, we're prohibited from paying interest directly to stable coin holders.
Starting point is 00:17:23 It's the same thing in Europe. We're regulated in Europe. Same rule. Same thing in Japan. All these markets is the same. But at the same time, like, we're building a business. do generate revenue and we work with lots of different types of platforms and markets and distributors and brokerages. We work with everyone from Robin Hood to Revolut to Coinbase to,
Starting point is 00:17:46 you know, visa and and lots of companies. And so those companies, you know, stable coins are really important too because they are how people hold money, how people make payments, how people trade, how people do a lot on those platforms. And so they want to be able to have the ability to pay rewards or have loyalty programs or incentives and other things. And if they're making money from their relationship with us, they want to be able to do that. And that's what the Genius Act captured. And I think really, I think it's good. I think it's a good model. So you're happy with it as is? We think it's a very solid model. And I think really there's some ongoing discussion about, well, is there a specific set of things that qualify for those kinds of loyalty and
Starting point is 00:18:32 rewards and other things and how prescriptive should the law be. And it's kind of getting relitigated a little bit. The banks, my understanding, maybe want to try to kill it. Maybe some of them who feel the most threatened. Is that the back channel here at Davos? I mean, I think banks see stable coins as both a threat and an opportunity. Right. You know, I can say we're having more engagement with more banks in the world than we've ever had before. Okay. And so, and major banks, global banks, regional banks, banks all over the world who want to integrate this and use it in payments. They want to use it in how capital markets work. Think about I need to post collateral on an exchange to trade and I'm trading different assets. Stable coins are a better
Starting point is 00:19:23 way to do that. And so whether it's in capital markets, in trading, in wealth management, in payments, there's uses for this. And so definitely banks see a lot of opportunities. Because it's faster and cheaper. It's instant and it's free, essentially. Yeah, I mean, if you talk to like a global money center bank, you know, you can imagine, you know, one of those. I might say JP Morgan. Something like that or a city or one of these banks. And if you ask them, how many different payment networks are you integrated into as a bank? And they'll tell you like over 200. They integrate to over 200 different payment networks. And it's all over the planet.
Starting point is 00:20:00 It's all over the planet. And it's all different standards, I would assume? All different standards, all different systems, et cetera. And so if you go to them and say, well, stablecoin networks are like a new payment network, they're like, I get it. Like this is, oh, it's on the internet. Oh, it has the attributes of how the internet works. We understand that.
Starting point is 00:20:18 And this will be your fastest, cheapest, and most trackable version. That's right. And so we actually, we have, you know, there's a global systemically important bank we work with who's actually moving their own money between the their own global branches using USDC because it's faster than going through the corresponding banking system. They trust it more. Yeah, in those cases.
Starting point is 00:20:39 So bottom line is there's a lot of opportunity for banks. This is not a black or white thing. I think we'll figure out this rewards thing. I'm very sure. Yeah. Yeah, in Amex figured it out. For sure. A video games figured it out.
Starting point is 00:20:55 There was a little rattling even in those cases where they're like, hey, is this a currency? because people are trading it on eBay. You've been trading my sword from World Warcraft or whatever these nerds are up to. And they were like, ah, is that like you have your own currency? It's like, they're playing video games, who cares? Like, can we just move on? There's more important things to do in the world than sweat Amex points being traded somewhere and pretending it's a currency.
Starting point is 00:21:21 You're up against a offshore platform that has, I think, maybe three times. the amount under mass management? Tether. Tether, who's counting? Three, four, five times. But you have been catching up pretty quick, yeah? Yeah. USDC amongst the largest stable coins has been growing faster.
Starting point is 00:21:41 You're number two. For two years straight. Yeah, we're the second largest. Tethers first. And we are by far the largest regulated stable coin network. Right. And our kind of growth in the amount of transactions happening with USTC is growing quite a bit faster as well.
Starting point is 00:21:58 So yeah, we feel really good. I think our view has been to the earlier question, if this is going to be part of the actual economic system, if households and firms and corporations and financial institutions are gonna use this and depend on this, whether you're a remote worker who's a software engineer working in Pakistan, or you're a small business that's importing products
Starting point is 00:22:23 from Vietnam that's in Brazil, or you're a hedge fund in the US, that's trading derivatives, like you're going to want to know that you have something that is safe, fully reserved, audited, compliant, liquid available in and out of the global financial system. And, you know, when we think about that opportunity, that's an enormous opportunity. Yeah. The TAM of legal electronic money today is about $120 trillion and growing because of monetary easing and things like that. But of that, there's about 60 trillion. billion dollars, which is physical cash and non-interest-bearing demand deposits.
Starting point is 00:23:03 So kind of working capital money sitting out there, right? So there's a huge amount of value stored and used as a store of value as a payment system money and stable coins can grow into that. And there's going to be, you know, an infrastructure for that that's well integrated. And the business is there's a float on this large base of capital that gets to underwrite your business. If interest rates are high, it's boom times. Tethers making over $10 billion a year on their float. You're making, I'm assuming billions of dollars or low billions of dollars on your float. I'm sure if that's public knowledge.
Starting point is 00:23:41 We're a public company. You can look it up. Yeah. I mean, I'm assuming it's billions, yeah. Well, I'm not sure if you break it down by that. We talk about reserve income. Got it. And it's billions. It's a significant amount. Yeah. And so, but if we go into a zero interest rate phenomenon, on this could be challenging for the business or not? Well, a couple of things. I mean, if you actually look at what's happened, when interest rates were actually very low, we saw a thousand percent year over year growth two years straight.
Starting point is 00:24:12 So growth was off the charts. When interest rates actually started to rise, we actually saw declines in circulation. Why? Well, it's really the price of money, the opportunity cost of money. So interest rates set a kind of cost to holding the money and- So the incentive matters. Yeah, the incentive matters. And so what's interesting is that if you actually look at from like December 2023 when basically the forward curve, which was sort of the kind of short-term kind of price of money in a sense, the forward curve, kind of being the markets view
Starting point is 00:24:46 of the short-term price of money, when that started to fall because the expectation of interest rates came, USC started to grow. And actually from the from the peak of whatever was five, and a quarter or five and a half down to where we are, which is three and a half or whatever it is now, that's, I don't know, exact percentage. Let's call it a 35, 40 percent decline in the interest rate. We've had a multi-100 percent increase in the amount of USDC in circulation. And so there's an inverse correlation there. And so I've, and I've said this publicly, I've said this publicly in the media. I've said this many, many times. I have wanted, when interest rates were really high, my view is we really need interest rates to come down. Yeah. We really need the
Starting point is 00:25:28 to come down because that will help us grow. That will put more velocity of money in place. The pie gets bigger, yeah. Pie gets bigger. Which also impacts adoption. It impacts adoption as well. So more people are investing capital in technology to transform their businesses to grow. Tech on, right? And so that is a catalyst. And so my view has been, that is really important. And so, you know, I think our view is there is some conceptual neutral interest rate. And given the persistence of inflation of around 2.5% or whatever it is, some people argue, is the neutral rate, should the neutral rate and the kind of baseline of inflation be 2.5 or 2.8 or whatever. You know where the 2% came from?
Starting point is 00:26:13 I talked about it on a previous all-in episode. I do. But go ahead. Yeah, New Zealand. Yeah. Yeah. There was a politician in New Zealand was talking to their central bank. And he's like, what should it be?
Starting point is 00:26:23 And he's like, I think two. And he's like, yeah, how'd you come up with the number? It's like, my instinct. Yeah, America's been 2.8. 4% unemployment, 2% interest rates. Both of those are going to be challenged. Yeah. Both of those are going to be challenged because of very significant technological and macro
Starting point is 00:26:39 forces. Yeah, job displacement, globalization, have had impacts on this depending on the country, the unemployment rate. And also how many people choose to be employed? I mean, when you have a society that is, you know, doing as well as ours is or the European Union is, some people just to choose to not work. Labor, I think a labor participation now is 61 or 62 percent. And then when you and I were coming up, it had peaked at 68, 69 percent. So it was like 15 percent higher. Yeah, yeah. It's really
Starting point is 00:27:07 interesting to think about that. Yeah. Yeah. Tether as a competitor would not be able to operate in the U.S. lots of reports. I'll be, I'm going to be judicious here. Claims, reports, concerns from politicians to the press and everywhere in between and regulators that they're doing some stuff in the dark areas that maybe you wouldn't want to touch in terms of the dark web dark economy. But rumor is they're going to do a U.S. version of tether and maybe try to go legit and audited. How do you think about them as a competitor, given that they've been banned in multiple GOs? And there was some very big concerns that that they were. You know, some very big concerns that they might have a run because they weren't dollar for dollar back and people had all kinds
Starting point is 00:27:56 of claims about, hey, maybe they have Chinese paper and all these different concerns and they wouldn't do an attestation. Or they would do an attestation with a bank and somewhere in the BVI that nobody's heard of and a big KPMG maybe doesn't. You seem to know a lot about this. I was not a tether-truther, but I did go down the rabbit hole because I reported on it, you know, on the pod and talked about it. But they are, they're a significant player. I'm wondering how you think about them coming to the U.S. and becoming more legit and maybe trying to catch up
Starting point is 00:28:32 with you in that way. I mean, look, the beauty of having the Genius Act is that it creates a level playing field. It defines a federal law that you have to come in, not just be audited, but you're regulated by, if you're large, by the national bank regulator, the OCC, which is a very serious regulator, a serious prudential regulator. And, you know, we've conditionally, we've received conditional approval for something called First National Digital Currency Bank, which is a national trust bank that we're setting up to be part of how we operate USC as well. And, but again, level playing field. if you want to comply and build a product under that regulatory framework, you can do that. And I think many people will.
Starting point is 00:29:23 And this is like when net neutrality happened and common carrier rules came, like anybody can get into providing data services to the internet. Anyone can build, you know, these things. So that's great. And so free market, clear rules, love it. So my view is there's absolutely going to be more competition. And my view is, also that the structure of this market, stablecoins are network businesses, meaning they actually exist as platforms and utilities on the internet. The USDC and our stablecoin network is literally the software protocols, but it's also the tens of thousands of applications that have integrated to the APIs. And every time an app integrates, you know, Cash app just said, hey, we're adding USDC support.
Starting point is 00:30:13 That's great. Coinbase has it. Coinbase has it. Revolute has it. You know, banks have it. Visa is using it. Every time someone adds it, you know, Stripe merchants, Shopify merchants can use it. Every time someone adds that, it adds utility to the network and it adds network effects.
Starting point is 00:30:30 And then the next developer who comes along and says, hey, I want to build an app that uses digital dollars, et cetera, which one should I use? Oh, I have interoperability with all this stuff. Great. So you have these network effects that are really key. And then you also have, you know, what I call liquidity network. effects, which is the ability for one to easily get it and use it within banking systems all around the world.
Starting point is 00:30:52 So we've built out this incredible liquidity network by being regulated in Singapore, in the UAE, in the European Union. And this is an easy thing to do. This is a huge build. Yeah. It's a huge build. And now it's at a point where- And it's defensibility.
Starting point is 00:31:08 It is defensibility. And we have pipes in a sense where some of the business. biggest capital markets participants in the world, companies like BlackRock, can enable a tokenized fund that enables USDC to come in and out of it. And their institutional participants know that'll work. Right. So I think it's a long-winded answer, but the answer is essentially, we feel like we've built a great platform and a great network, and we have really strong network effects, and they're accelerating. And we've been publicly audited as a corporation. As a New York Stock Exchange governed, publicly listed SEC supervised company now for a period of time,
Starting point is 00:31:50 but more broadly for a long time. And when companies are going to choose what they're going to build on and what they're going to use, they're going to look at all that. Yeah, the footprint matters. It does. And so the marginal value of a net new dollar stable coin coming into the market is essentially zero. Yeah. You need, all these things are needed. And what do you think about this concept that everybody's going to have their own stable coin there'll be an amazon one obviously PayPal's added one do you think that's realistic or do you think people are going to be like that's just I might as well just use circle yeah i don't see that i think this is a lot like other internet platform markets like everyone doesn't need their own data center uh everyone didn't need their own
Starting point is 00:32:30 vertical search engines yeah everyone you know there's a lot of things that people thought everyone didn't need to build their own video platform yeah you know and so um internet scale utilities um you know achieve network effects, they achieve unit economics, they achieve developer flywheels, like all these things. And they tend to lower their prices over time. It tends to get, yeah, it tends to get, you know, yeah, more and more economical and more and more capable. And so, you know, there's a lot one would need to do to do that. And I think even the biggest banks who have pretty big technology budgets may reach that same conclusion. What worries you now? What's 2026 for looking like, What keeps you up at night? The opportunity is obvious, I think. You've explained it perfectly.
Starting point is 00:33:16 Yeah, I mean, look, I think we're at an interesting place where we have a big piece of the regulatory clarity done. There are more pieces that are needed. So there's work, you know, sort of related to markets, related to how digital tokens work. That's actually really, really important because we believe in kind of tokenization as a phenomenon, smart contracts as a way that people are going to like intermediate things on the internet. So there's more that's needed there. And I think now, you know, I think one of the things that concerns me is sort of the changing geopolitical, geo-economic kind of landscape, right?
Starting point is 00:33:59 Which is there's lots of different points of view that are being taken on kind of where economic alignment is, et cetera, and as a global company that is building technology that want to make available globally, that introduces new complexity, right? Yes. We're entering an era of new alliances and national champions. Yeah, for sure. And you're an American company and America first. And so, yeah, you might be looked at differently based upon how the American enterprises,
Starting point is 00:34:33 you know, generally done. Yeah, that is very true. Our headquarters is Freedom Tower in New York City, you know. And at the same time, you know, the technology of these networks, there's an opportunity actually to develop versions of this that are more geopolitically neutral, geo-economically neutral so that if you're from India or you're from Brazil or you're from Southeast Asia or you're from the Middle East, like you can build, and these are high-growth markets that you're comfortable building on this with a variety of different nexus of economic relations. And so that's something we think about actually. Yeah, like a Euro-based stable coin. We have the largest Euro base stable coin. How many currencies have you done that with so far?
Starting point is 00:35:20 We've really only focused on dollars and euros. Why? Well, I think those are two widely adopted currencies for both as a store of value and as freely floatable, circulated, tradable currencies. And we have a big commitment to the market. We have a big commitment to the European market. And so it's also part of just being committed to that market. We think it's a big opportunity.
Starting point is 00:35:48 And then for everything else, we've really built, we've built a technology stack for other stable coin issuers from other markets. Now that there's laws around the world. So if they want to do their national stable coin, centralized. Are you doing that with Bermuda or some sort of partnership? The Bermuda partnership is related to helping them
Starting point is 00:36:08 kind of have digital dollars. and have economic activity, commerce activity, treasury activity, all happen on chain. Got it. So that's infrastructure play. Not, I don't know what their dollar is. Well, they're a dollar. It's a dollar backed currency. They're already their own stable coin.
Starting point is 00:36:26 But in other places, you know, in the Philippines or in Mexico or in Brazil or in Japan and other markets or Australia, Korea, there are stable coins coming. And we want to make sure that we can provide technology so that they can do all the same things. To the government or to banks? Well, more to the private sector. Because stable coins are private sector innovated, but these companies all need to be regulated by the government.
Starting point is 00:36:53 They need to be following the same. So easier for you to partner with a major partner in those markets? Yes. Yeah, and we want to see that grow and flourish, this idea of an internet financial system where all the economies of the world can be on-chain and all of the contracts and financial contracts
Starting point is 00:37:13 and markets and capital formation, lending, everything can happen on chain. It's obvious that small businesses and people who are very, and poker players, people who are concerned about their fees will, and you are focused on that, are being driven to stable coins. They get it. They're like, yeah, I'm doing my design job for,
Starting point is 00:37:36 I'm a designer in the Philippines working for somebody in India They're starting to figure out, hey, I don't need to pay these. And then consumers are starting to figure it out. Maybe if they're like me, a poker player, you're sending a lot of wires. Every year I send tons of wires back and forth for different poker games. Well, now, you know, Polymark and Kalshi, both you fund your account with USDC. Right. Speaking of that kind of thing.
Starting point is 00:37:58 And, well, that's because that audience understands because they're always looking for edge. Speed. Speed. But they're looking for edge. In a poker game, like you, as an, if you were a novice and I was an expert, I was Jason Kuhn and you were Phil Helmuth, whatever it is. You know, it's got a bigger edge on them. It's an inside joke.
Starting point is 00:38:15 Anyway, point is, like, you might have a 1% or 2% advantage, but it compounds after 100 poker games to be a bigger number. It does. This is why the rake matters. And, you know, gamblers and people like to wager thinking about them. You know who the biggest users of the SDC are? Yeah, that's what I was kind of getting at. It's actually, it is a form of gamblers, which is the biggest electronic markets for
Starting point is 00:38:38 in the world. Got it. The guys who need every edge in terms of milliseconds and cost and capital efficiency to be able to move capital in markets because at the end of the day, they are algorithmically trying to figure out the very next best thing to do. And if they have dollars that operate with the physics of the internet and the cost efficiency of data, they have an edge. And so they love it.
Starting point is 00:39:04 They love it. And then the people who are sending money home to their family. They love it too. Yeah, because they're like, wait, I'm paying Western Union 12% of this is a bullshit. Right, they can have a wallet. They directly send to their counterparty and it's like, wait a minute, this, wait, this literally arrived. And there's proliferation of these digital wallets now that also can, where you can hold it in USC, but spend it through Apple Pay that are being issued all around the world too. So people can store value in digital dollars, use it through payment terminals. And that's pretty cool too.
Starting point is 00:39:34 QuickBooks TurboTax thesis there because that seemed like there's something underlying that that I wasn't getting to. I mean, it's obvious that like, okay, there's money flowing through there. But what's the big picture there? Well, and too, it's an amazing company. Obviously, they've been around for a long time. They have franchises that are huge. Credit Karma is a huge franchise, actually. Huge. They're growing what they provide to people through that franchise. QuickBooks, obviously, we all know if you run a small business, you use QuickBooks. And actually, quickbooks, you know, they invoice people through QuickBooks.
Starting point is 00:40:11 And it's actually trillions of dollars of transactions a year that are invoiced through QuickBooks. And, you know, if you can invoice people and settle in USC, that's better than ACH and it's faster. And you can imagine a world where, you know, small businesses can gain an advantage from something like that. And if you're a turbo tax user and you file your taxes and you get a refund, imagine being able to get your refund instantly. So I think there's a lot of cool stuff. And too, it's a very innovative company. It's a tech company that is in these financial technology adjacencies. And so
Starting point is 00:40:44 we're super excited about the collaboration that we have. I don't want to say there's a loser in this, but there are people who are going to be challenged by it. How does American Express, you know, and Bank of America look at Circle and Stablecoins in your mind if you were to, because they must call at some point or do they not? I think all of these companies have an opportunity to use this technology, right? They have this, they have an opportunity to use this technology to improve how they provide payment utility. They have an opportunity to use it if their customers want to interact with the whole
Starting point is 00:41:15 on-chain economy and on-chain investments and what's happening there, from a wealth management perspective. I eventually think that there's going to be more credit products that are actually built using stable coins. How would that work? Well, basically- And what's the advantage? Already today, there have been trillions of dollars of loans made in stable coins through
Starting point is 00:41:39 DFI protocols. So you take your USDC and you effectively deposit it into a protocol. And on the other side of that protocol is a borrower. And you're paid an interest rate for the amount of time. You become the house. You become the bank. The individual does, actually. I mean, these are, as someone years ago said, these are like self-driving banks,
Starting point is 00:42:00 meaning it's software machines where the risk management, the collateral management, the liquidation, all of the liquidity that's there is all just smart contract machines that we can all observe in real time, perfectly auditable in real time, transparent. You don't have that with the bank. So you have a really interesting thing there. And right now, a lot of that is like lending to people who are borrowing to do things like investing, like margin types. It's like margin loans. I own a million dollars in Bitcoin. Yeah, I want to spend $100,000, but I want to liquid any Bitcoin, somebody else can make some number of points. And you can borrow USDC against your Bitcoin and so on.
Starting point is 00:42:36 But I think this is like this is the early stage of that. And so I think our view is that if you have these digital cash things like USDC, that you can create lending protocols that are lending for, you know, I want to, I want to, you know, hire a new employee. Or I want to, you know, I need some new equipment for my kitchen in my restaurant. Or factoring, equipment leasing. All of these forms of lending, right, can be done. And the risk that is taken, there's real risk there, can be underwritten.
Starting point is 00:43:10 And the insurance on the risks failing can be priced. And so you can build credit markets entirely in software, entirely the software machines. No storefront to. Coming into play. AI plus these sort of smart contract machines and stable coins, I think creates. a really interesting little cauldron for credit market innovation. Yeah. And I have a glean in my eye, which is imagine a credit market that worked like AdWords.
Starting point is 00:43:40 Imagine something that was that efficient and clear and settle credit decisions at the speed of which an auction happens for attention. And so like those kinds of things will become possible and that probably would be pretty good for people who are on the other side of credit need. Yeah, if you think about also monetary velocity and the economy, you can get more things moving. Exactly. More jobs created, more chances, more swings at bat, more shots on goal. So money velocity increases and I think these kinds of credit intermediation models
Starting point is 00:44:15 powered by AI and blockchain networks can actually further increase money velocity. And we have a mission statement to increase global economic prosperity through the friction exchange of value. That is literally our mission statement and that people, a lot of times they think exchange of value means like, oh, like making a payment. No, value exchange is the sort of time value of money transformation. And it's sort of I have value I don't need right now. You have, you have a need for that value and I'm going to use time to transform that and then, you know, create new things from it. And that's where actual growth comes from. So that's what we want One of the interesting things since we're here talking politics at Davos, you and I are talking
Starting point is 00:45:00 tech, but politics is one of the big topics here. So we'll sort of end on that a little bit and get your ideas and your thoughts on it. There's a movement towards socialism in New York City, my hometown. It's kind of heartbreaking for me to watch. California is seizing the billionaire's assets, literally asking them to write down and audit everything they own, put a value on the painting or the piece of jewelry they bought for their spouse and yeah, well just take 5% of it once. They lost 200 billionaires and a trillion dollars worth of...
Starting point is 00:45:37 And they don't seem to have any problem with it. As a technologist, a builder and a capitalist, as long as I've known you, what do you think about this moment in time us Gen Xers are living in watching this social? That's interesting. I just moved to New York City. Just in time. Just in time. Yeah. By the way, that's costing you, I think you're going to have to pay 2% more a year. But I don't think you're an income guy. I think you're more of a Cap Gaines guy. Yeah. Look, here's what I would say is, and actually I was with Dario from Anthropic a couple times over the past couple of days. And he obviously talks a lot about, you know, kind of the economic disruption, labor market disruption, what's going to happen with AI. He's not a doomer, but he has deep concerns. He has deep concerns, and I also do, which is when I look at the very positive thing, which is that I think we're going to see an acceleration of GDP growth, pick your time frame, three, five, ten, 15 years.
Starting point is 00:46:37 Like, we're going to see, I think, an extraordinary period of economic growth acceleration. Even more than the internet and PCs. More than the internet and PCs. This is a very, very, very big, very big transformation. But where more. where most of the labor is actually executed by AI machines. And the capital accrues to the capital owners. And that's just kind of there in front of us.
Starting point is 00:47:04 Yeah, it's the fundamental nature of capitalism. Fundamental nature. And I think that is just going to challenge us in ways that we haven't dealt with in a long time since other periods. Labor was necessary for capital to succeed. The Industrial Revolution was mechanized human labor, right? This is mechanized AI. By the way, the CEO job seems like ripe for AI doing a better job than we would do at
Starting point is 00:47:36 times, right? I don't know if you've- I use AI all the time. And my employees- Do you ask you- I don't know if they realize what they're interacting with? No, but I mean, literally when I was talking to Brian from Coinbase, our friend, he said he's got all of his data into a proprietary LLM internally. He said this on the program, I'm not speaking at a school, and that he asks it, what do I need
Starting point is 00:47:59 to know about my organization? It's like, oh, there's non-consensus about this important issue in the corner over here, and he's like, I didn't know that. Like, whoa, was that a coach or is that like a parallel, like another like CEO? Is it a duplicate CEO? Did you clone yourself? It's like, how do you think about that? I mean, I think about it all the time.
Starting point is 00:48:18 I'm pushing very hard to encourage that we are all inside of circle doing more with AI. We're making sure, obviously, with safety and compliance in mind because we're a regulated company. Commissions matter. Yeah. So there's a lot of work. We invest a lot in that. But nonetheless, creating the avenues so that that awareness and understanding can be there. And that as leaders, we can turn to that.
Starting point is 00:48:45 I put a Slack post in a Slack channel recently that sort of said, if you want to become a great manager at Circle, probably one of the best things that you can learn how to do is manage AI. Yes. And so, you know, invest in how you manage AI and AI agents. Actually, that's how you might actually become a better manager and leader through that. It seems like, it is one of the, if you think about the tasks of these product managers who would run the stand-ups or, you know, your mid-level manager. historically, it's to keep tabs on a group of people and their targets and their timeframes
Starting point is 00:49:20 and who's excelling and who's got blockers. AI is kind of better suited for that. Really good. And so a great middle manager, which is a derogatory term, but let's just say it used word manager. A great manager should be able to manage 10 groups using, say, Claude's cowork. I don't know if you have you been playing with it yet? It's incredible. It's really incredible.
Starting point is 00:49:38 I mean, it's out of week and I'm like, I'm sitting there like... We haven't deployed that inside the company yet, but I've outside looked at it and Houston. at it and used it. What impresses you about that? I mean, look, the ability to take tasks that I have to do and just teach them and then it just can do them is extraordinary. I'm trying to get this deployed in my household too, but it's really amazing. Interesting way to do it is because I went down this rabbit hole, like estate management stuff, like when you have to deal with this, when you get a second home, or however many you want to have having. Notion is, I think, the best solution right now because Notion put AI into it. Do you use Slack personally too for
Starting point is 00:50:18 your domestic affairs? You don't have a domestic... I don't have a domestic slack. Okay, I have a domestic Slack and a domestic notion. So I took the stack from the office and I just did it at home. And what that did for us was the people who bridge, you know, the family office and this, you know, can kind of, they know the same tool stack. Then Notion has been investing in their AI so much that when you do a query, like an AI query of your notion and you're like, hey, this house with this HVAC, you know, this issue, it's like, bloop, answer. You know, like, oh my God, that would have taken like three phone calls in an hour. And I think it's going to change everything about how we work.
Starting point is 00:50:56 What else did Dario think? I think I might have cut you off before you think. Yeah, I mean, look, I think the big picture there was just like whatever your politics are, whatever you think about taxes, whatever you think about the social contract, all that's, I think in the coming years going to kind of have to get thought. about again in different ways. And I don't think it's going to, it's not going to be the straightforward answers that we've turned to. No. It can't be. And so that's why I, you know, my answer is like, yeah, there's things California, New York, et cetera, are doing. But I think when we when we look at that
Starting point is 00:51:29 in comparison to the broader political economy that we're going to have in front of us, those will seem modest in comparison to what we've got to think about. By the way, we fixed it in startup land long ago. It's called stock options. And if you look at the Trump accounts, which Invest America, Michael Dell did and Brad Gersner and a number of our friends, if the 42% of Americans who don't own inequity and are not part of that, let's just say it's 50 because some of them own them kind of passively,
Starting point is 00:52:01 half the country doesn't earn equities. If everybody had equities in a superannuation fund like they have in Australia and they're watching them go up, then you're not like, well, screw those guys. at Amazon and Apple and Google. Being stakeholders in the success of this technological transformation is critical. Yeah, that would, I think,
Starting point is 00:52:19 solves so much of the problem. Jeremy, I could talk to you for hours. You and I have talked for hours in our lifetime about all these paradigms. Continued success. Thank you, Jason. And it's just a pleasure to spend time with you. It's always one of the great discussions I have.
Starting point is 00:52:33 It's awesome. I can't believe it. George Kurtz is here. He's the CEO and co-founder of CrowdStrike. This is your second Davos. Yes. Why are you at Davos? Obviously, everybody knows Crash Strike.
Starting point is 00:52:43 We'll get into it. Why are you spending the week at Davos? Well, I have all the world leaders here and all the best company CEOs are here. So really, it would take me a year of activity in flying around the globe to meet all the people that I need to meet. And it's just a fantastic opportunity to meet customers and get business done. Yeah, it's efficient. Very efficient. It's this tiny little ski town.
Starting point is 00:53:05 Yep. It's not fancy at all. This is in Aspen. And everybody's within five blocks. Once you get through security. Yeah. Speaking of security, AI has had or is going to have, I want to get your opinion on this, a profound impact on defense and also offense, black hat, white hat, everything in between.
Starting point is 00:53:22 What is the attack vector that AI is most effective at sitting here in 2026? Well, there's a couple of different areas. One is, if we think about the adversaries, I kind of create a pyramid where you've got nation state at the top, very sophisticated, but less of them. The middle band of the pyramid is e-crime, more of them, a little less sophisticated than the top. And then the bottom is just hacktivism, okay? So essentially you're minting new adversaries because you don't have to have all the knowledge that you had to have in the past.
Starting point is 00:53:52 You can ask any number of LLMs and you can get answers back. So what's happened is the attack timeline has been compressed. You can automate all of these sort of attacks and you can do it with a level of sophistication that looks like a nation state. It's one of the greatest areas of exposure is the speed and the sophistication has dramatically increased. Because the answers have been compiled. Yeah.
Starting point is 00:54:16 The scenarios can be run even by somebody who is a level six hacker out of ten. I'm just making a number up here. And they can become an eight. So just like a developer using a co-pilot goes from being an average developer to an above average, the same thing is happening with hackers. Absolutely. And one of the things that we're seeing is autonomous malware. So most people are probably familiar with malware, runs on your computer.
Starting point is 00:54:37 Typically people would use antivirus to protect against that malware. But what we're seeing now is prompt only autonomous malware, meaning I can drop the prompt on your computer by a variety of means, and then it will autonomously interact with an LLM, and it will give a unique fingerprint every time it runs. So your computer is different than the next guys. You have different data, and it will begin to prompt its way to getting to what it needs without ever phoning home to someone controlling it. Oh, wow. So just to unpack that and translate it, I did a little hacking in my day in the 80s. A little phone freaking mainly. We'll get into it offline. Hayes modems. I had a haze 2400, guilty as charge. I started with the Ventel 300 bod. I think we're of the same.
Starting point is 00:55:22 I had a 300 haze. You had the 300 haze. It was a tank. It literally had such a great form factor that's never been repeated. It's great like rectangle. But we're old. We are old. People are now saying, hey, I'm going to use the comet browser. by perplexity, chat GPT's got a browser, Claude has an extension, and it's really wonderful to say, hey, get all my emails from LinkedIn and then put that into a database
Starting point is 00:55:46 and edit to my CRM. Wonderful, you watch it work, get me the cheapest flight. The same thing can be used by an adversary to get on your computer, and one of the great ways is detection in security. You're in the business of detecting the attacker, but what you've just informed me of,
Starting point is 00:56:02 which kind of blew my mind, even though it's completely obvious, is the LLM could say, I'm going to do a thousand attacks today, and I'm going to make each one different and unique. And unique. Absolutely. They're unique. So scary. They're not actually code because they're prompts. Right. And traditionally malware would phone home. They would be, there would be like a tether. Right. So you'd always be able to see the signature of something phoning home. Now these can run autonomously without ever phoning home. Like a sleeper agent, you know, like you drop them into America. 20 years later, they start pursuing, but they never have to, return to base. Exactly. How does one counter that? Well, you need AI to counter it. Okay. And I mean,
Starting point is 00:56:42 that's been a big part of the success at Crowdstrike. When I started the company, I found it in 2011, it was using, we'll say AI, but machine learning at the time to detect malware that's never been seen before. Now, obviously, that's evolved into Gen AI and really leveraging basically the large data set that we have that we've amassed over 14 years to train our own models to be able to counteract with the speed that you need what the adversary is doing. So we took, if you think about it, there's only a few ways to break into a bank. I'll use this analogy, right? You can drive there, you can walk there, you can use a gun, you can blow the safe. But at the end of the day, you've got to get the money and you've got to get out. Yeah. And these, it's the same way in the
Starting point is 00:57:21 computer world, there's certain we call indicators of attack. We've trained our models to look for these. So it doesn't matter kind of what you look like or what car you're driving. We can identify that. And a big part of our success has been the AI. We've done. built over the years with this tremendous data set. Yeah, so you might be able to get into the bank. But at some point, you got to leave with the diamonds and you got to get to the safe. Exactly. That's where you can catch him.
Starting point is 00:57:44 Exactly. You mentioned state actors and you mentioned for profit. When we look at a country like North Korea, they need revenue. Yep. Hacking's pretty great revenue source. They were even using AI, my understanding. I'm sure you've been following this to get developer jobs in the United States, convince Americans to a public.
Starting point is 00:58:04 laptops in their homes so that they could remote work. Talk to me about that attack factor, actually infiltrating companies as employees because of this remote work nonsense. Well, we were one of the first to ever find that. So we were actually going through developing some new AI algorithms. Yeah. And we saw something that was called signal, which basically strips the noise from the signal. And we saw the signal and we said, this is really weird. And we investigated it. And we said, okay, this looks like somebody using remote tools to, you know, what's going on here? And we went further. And then we said, we think it's North Korea.
Starting point is 00:58:38 And we think that it's an employee who the company thinks it's an employee. So when the R&D team came back to me, they said, okay, we want to notify our customers. And we want to say, we think we found this, but we have to tell them that the employee that they think is an employee isn't really their employee. Yeah, the phone call is coming from inside the building. Exactly. Exactly. So for us, it was, you know, when you have a piece of malware, it's like, okay, that's bad. You can detect it. But when you have to tell a company that their employee may not be their employee, there's, you know, you have to be gentle. You're letting them know just how incompetent they are when it comes to security. I said it, not you. Okay. Well, it's hard to find these guys. But at any event, we found 40 of them. We were right. 40 of them. That's for the first run. We found hundreds now.
Starting point is 00:59:23 Hundreds in America. Yeah. Now, they were doing it, my understanding is for the high-paying salary to fund stuff in North Korea. Is that correct or not? They were doing it to get trade secrets. They were doing it to buy access. Why break in when you can just log in? Oh, my God. You know, so it's a lot easier to get somebody hired.
Starting point is 00:59:41 So, true story. So we actually say, we think this employee is not an employee. Company investigated. They investigate it. And they go, yeah, you were right. I said, well, tell me the story. And they said, well, we went to this person's boss and we said, we don't think that's that's a real person. And they went through all the reasons why. Finally, they said,
Starting point is 00:59:58 we think it's a North Korean. And the guy, his boss said, well, do we have to get rid of him because he did such good work? Oh my Lord. So the value of a top tier developer is so high that you'll take us by. Yeah, exactly. It's like, you know, we kind of need him to ship. Yeah, he was doing such good work. He was shipping. This is one of our best performance. True story. What now? I mean, remote work has opened up so many factors. You believe in remote work. Do you support it in the company? We do. Yeah, we started the company in a remote first. But this opens up all these attack vectors. What's the best practice? Even without remote. Well, best practice. Best practice really and what we see companies doing is we'll take a simple one. Meet whoever you hire. Wow. Shocking. Shocking. But, you know, with COVID and remote work and things of that nature, there's a lot of people that get hired that people never met. And, you know, you never see them on the screen. and but the work would get done, you know, emails would get written, and then, you know, these things happen. So what we're seeing now is the best companies are actually embedding a security person in the HR group,
Starting point is 01:01:02 where they're pre-filtering all these resumes because the resumes are AI generated, the LinkedIn profiles are AI generated. So you want to catch them up front rather than in the interview process. Here's a crazy idea. Hey, for your final interview, can we fly in? Or, hey, week one, you're going to be at HQ. That's it. That's it.
Starting point is 01:01:19 You solve the whole problem. because then they don't take the job. They move on to the next person. That's it. Okay, so we're looking at state actors. Russia, still number one state actor? China, Russia. I mean, it depends.
Starting point is 01:01:29 Like, if you, you know, pure intelligence, pure IT. Ability. Russia. Russia. Yeah. Why? Why are they so good? I mean, like, the Cold War, you could say is over,
Starting point is 01:01:39 but you have really smart people that went to work in various areas, right? Obviously, from a nation state, but also from an e-crime perspective. They're smart. They know what they're doing. Typically, they're what we call, low and slow. The Chinese over the years have been a little bit noisy, kind of a smash and grab.
Starting point is 01:01:54 They've gotten better. Not subtle, not subtle, but much better now. But the Russians are very targeted. They're patient, and they're not always gathering IP information to steal it, but they're gathering intelligence for reconnaissance for nation-state activities, and there are then they moonlight for e-crime. And let's go to China then. This is, you know, if we were sitting here 10 years ago, We'd be talking kumbaya, China. We're all going to win together. The decoupling has happened, essentially. Do you have operations there?
Starting point is 01:02:26 Do you work with Chinese companies? We don't have operations there. We don't have any revenue. We don't sell into China. Never have. Never have. From the start of the company. And what's your take on the decoupling?
Starting point is 01:02:38 Let's go a little geopolitical here. They are our adversary, obviously, competitor. Their technical ability is pretty strong. We're seeing that with AI. are they the future competitor and the future attack factor that you have to worry about China? Well, I don't know that the future because I think it's already there. It's here, yeah. And it's been here for the last, you know, 20 plus years.
Starting point is 01:02:59 I mean, some of it may not have been talked about in the early days, but they're very, very prolific. They're very good. And, you know, it's one of those areas. Obviously nation state is always going to be nation state versus nation state, you know, that just happens. The big thing with China is there is a commercial aspect to what they do. So if the government breaks in and steal. a trade secret from some company in the U.S., they'll just give it to another company in China.
Starting point is 01:03:23 Right. That doesn't happen necessarily with all nation states. Yeah, we're certainly not breaking into China to steal their trade secrets. Right. And giving them to a U.S. company. Yeah. The CIA is not breaking in to figure out what B.O.D is doing to give it to Tesla or something. Correct.
Starting point is 01:03:39 So it's a one-way relationship there. Now, there's also something very unique. They make hardware. They ship a lot of hardware. our laptops in some cases, Huawei, other countries, they're putting spyware or backdoors into all that hardware, yeah, in your estimation? I mean, over the years, there's certainly been cases where people have had concerns on, you know, what was actually shipped.
Starting point is 01:04:03 And supply chain can be problematic, whether it's actually shipped with something or, you know, in some cases, packages get diverted somewhere else. The malware gets installed and it gets reshipped out, right? So you've seen that. So it's important to have good hygiene on whatever equipment is being brought in. And you know the providence of that manufacturer and that software that goes on it. And that applies really around the world. Do you trust Signal and your iPhone to protect you as a corporate executive?
Starting point is 01:04:36 Like what measures do you take? Well, because you're a target. Yeah, we're a target. I mean, our team spends a lot of time making sure that we try to do the right things. So what's that signal? What about those two? You think those are attack vectors people can do insertions there? Well, you know, I think you have to look at the privacy versus the actual attack vector.
Starting point is 01:04:54 You know, if you're clicking on links that are in different, you know, because you've got a link and signal doesn't mean the link is secure, whether it could be signal or something else, right? So there's a lot of ways to get implants on these devices. I mean, I would say, you know, an iPhone is more is safer than just a regular computer because of the way it runs. But, you know, if you look at the nation states and some of the creation, creative ways they can actually get into a phone as an example. If they want to get in, bad enough, they're going to get in. How do they get in? What's the attack vector?
Starting point is 01:05:24 They get you to click on a link, they insert something. That's the typical way. Yeah, typically what they'll do in there is there's a whole black or gray market on the value of a zero day. So there are zero days in all software and if you have one, say for Apple iOS, that's super valuable. And generally if you click on something and it's not known zero day, just by going to a browser. Explain in plain English in the audience what a zero day is. A zero day is a yeah sorry
Starting point is 01:05:49 you know, we're talking technical jarg. Not everybody's got the hacker bona fide. I know. Not everybody's a Hayes guy. But yeah, if there is a software vulnerability that hasn't been found and patched, yeah. It means that they can exploit that and then they can run code. And in some cases in the past, there was a vulnerability where they could simply send you an SMS message. Like you didn't even know, you didn't have to click on anything. Wow. A message would process. this information and then they would put an implant on the phone. Biometrics, two-factor, this has changed everything in the industry, made it much more secure?
Starting point is 01:06:25 Secure, but not much more. If you look at a lot of the attacks, they're identity-based attacks. And what you see is that even when you have a credential, or if you steal a credential, or if you have a session token, which means that you've already authenticated. Yeah. Right? So even if you have two-factor, if you have the session,
Starting point is 01:06:44 token, you can replay that and get access to a system. The crypto people learn this the hard way. They basically were using two-factor over SMS. People call the phone company. Yep. Reset the SIM. Yep. And then they got you.
Starting point is 01:06:59 And game over. Yeah. Game over. Now your Bitcoin wallet is emptied. Correct. Where there's money, the hackers will go figure out a way. They figured out. And the humans are normally the weakest link.
Starting point is 01:07:11 Yeah, you know, the way I was able to get. at my first exploit was I called the New York Public Library. I knew they had like a VAC system with the dial-up. And I just said, hey, it's Joe from IT at the 34th Street branch. I need the number for the dial-up. Yeah. Literally the person gave it to me at IT over the phone. They want to be helpful.
Starting point is 01:07:30 I dialed it and then I could search the stack. There you go. Search all the books. That was the only thing you could do. What year was this? Eighty-seven. Okay. Yeah, I was at Fordham and they had Bitnet.
Starting point is 01:07:40 They had the internet there and it was just starting to see these things. but it's almost universally that. Calling somebody on the phone, meeting somebody, compromising somebody. That's it. That's it. Normally the weaknesses between the keyboard and the chair. The keyboard and the chair. What is the best practice then for you when you're advising your customers
Starting point is 01:07:59 of explaining to them just how the human factors part of this is the most important one to focus on? There's certainly an educational element. And you also have to look at how people get paid in the motivation. So typically they're going to call a help desk, okay? How does a help desk get paid and what are their metrics? Their metrics is get a call, open a ticket, and close it as quick as you can. Got the incentive is speed. Right, particularly if it's a third party.
Starting point is 01:08:26 Oh, in another country. Right. So their whole job is to open a ticket, solve a problem, close a ticket. So if you follow the money and the incentives, you can see why there's a problem. And people want to be helpful at the help desk and hence they get into the situation. So, you know, first start with the education piece and then having the right controls, identity protection, things like what CrowdTrack bills is going to be additive to making sure those sort of things don't happen. People using their own devices, bring your own device. This is the other major attack vector corporations make the mistake on you.
Starting point is 01:08:59 Yes. Your own device could be like a cesspool if you let your kids, you know, use it. Or it could be pretty good. But that's the reason why now there's enterprise browse. to kind of contain what people do, even if you bring your own device. Yeah, the enterprise browser is running on a virtual machine at some headquarters.
Starting point is 01:09:19 You provide that kind of situation? That's sort of the old school way of doing it. So what we've done, we actually just acquired a company called Seraphic. I saw that. Explain to me the state of the art there. Yeah, so the state of the art is not switching out a browser because if you use Common or, you know, Firefox or whatever, you want to use the browser you have.
Starting point is 01:09:37 So it's actually running beneath the browser in, and it will support any browser, which basically looks at the interaction with the browser's doing. And if there's sort of malicious activity in the browser or there's an identity that's compromised, you can stop it at the browser and you can wall off what you do with the browser,
Starting point is 01:09:55 including what data you take out of it. So it's the front door now for how people work and how adversaries get in is through the browser. How should companies implementing AI in the enterprise, putting their data into these clouds, and working with, partners, Claude co-work this week, kind of blew people's mind. I don't know if you saw the announcement or played with it. Yeah. And I was using it early this week and I'm authenticating
Starting point is 01:10:20 do-do do-do like Gmail, Notion. Oh, yeah, my desktop files and I got like halfway through this. And I was like, this probably isn't a good idea, but. They can be pretty scary. Well, let me tell you a story, not specific to that, but. We don't want to throw them under the bus, but it was a lot of authentications I did. Exactly. Exactly. They're doing great work. But There was a customer who basically created a whole suite of AI agents to help their automation in their IT department, right? So they had one agent that was looking for sort of IT problems, software bugs, and it found something, you know, all the code was being, before it was committed.
Starting point is 01:10:56 So the agent said, hey, I found this bug, I want to fix it, but it didn't have access to fix it. So it went to the Slack channel that had the other 99 agents and said, hey, does any other agent have access to this thing because I need it fixed? And there's an agent that raised its hand and said, oh, I have access and I can fix it. Do you see how scary this is? These two agents are reasoning and they went right around the guardrails that were put in place. This is unintended consequences.
Starting point is 01:11:24 And these LLMs are essentially guessing what you want them to do. They're reasoning it. Oh, it is reasonable for me to go ask for help. It is reasonable for me to give help. Now, what if it pushes the wrong code? what if it makes a mistake? And then how do you ever track that down? Who's monitoring these agents? The agent technology has unlimited upside, but my lord, you're going to be in business for a long time. Well, this is it. It's called AIDR. AIDR. Yeah, AI detection and response.
Starting point is 01:11:54 Got it. So there's a concept that's been around that. We helped pioneer, which is really endpoint detection and response. So on your computer, most companies have it, you can monitor and see what's happening and prevent bad things from happening. We have to do that now with an agent. And And this is why it's a huge opportunity for us because on average, each employee is going to have about 90 agents they control. So we're going to have protection and visibility across all of those agents, whether it's from a third party or whether it's a homegrown agent. And that, you know, is a massive TAM opportunity for us.
Starting point is 01:12:24 Do you trust the LLM operators with Crowdstrike's data? Or do you want to stand up your own large language models? We, well, we have our small language models. And we do work with just about. all of the large language models. But we've built our own guardrails around what gets shared, how it gets shared, and how we process any of the data back. The key-
Starting point is 01:12:47 Are you concerned about it? I can see you're kind of thinking like, hmm, yeah, like maybe there are some concerns here. No, no, there is, but we tried to engineer for that. Got it. Right? Because you want to leverage, and this is the thing, you know, it's tokenomics. There's an economics to how you use the tokens as well,
Starting point is 01:13:03 plus you want to get the right data. So we've built small language models for things that we control with our data. And then for other bigger, you know, frontier-type models, I mean, you're not going to replicate billions in R&D. You want to leverage what's out there and take the best of it. Yeah. You're also a race car driver. Yes. And, hey, you've done well in your life. You got to buy a piece of an F1 team. I've been going to F1 race. I went to three this year. Okay. Tell me everything about it. Where do you want to start? How did you get the bug? When did you get the bug? Because this has been an American thing the last couple of years. I can't
Starting point is 01:13:35 believe the racket these F-1, you guys are doing. Somehow you made this the most important thing in America ever. I, I knew not. Drive to survive. That is a big driver, and then it's a luxury experience. So now I've gone to, what did I do, Miami, Austin, and Vegas. I've been to three in the last year. Okay. I had even heard about it five years ago. That's fantastic. Well, I mean, a little backdrop. I grew up. I had zero money as a kid. I always liked. Where'd you grow up? New Jersey. Oh, really? I grew up in Brooklyn. Yeah. We used to play for them. Yeah, exactly. Okay. So I was like cars and fast things and never had the opportunity to do that. First car? First car was Toyota SELica. Toyota SELICA. Yeah.
Starting point is 01:14:13 73 Mustang. Ronde, 351 Cleveland. Okay. 351 Cleveland engine and slightly more horsepower than yours. I know. Mine was just, I had a commute in the thing. Yeah, okay. It's functional. It worked. It functional. But so I never had the opportunity to do it. And then I got into, I mean, I always followed sports racing. Mostly it was indie. And then, you know, got into racing later. We talk about that.
Starting point is 01:14:33 But I've been in Formula once in. 2018 because CrowdStrike became, well, Mercedes became a customer of CrowdStrike. Nice. And then I met Toto Wolfe who runs a team and you said, hey, why don't you think about working with it as a department. You got in at the right time. Yeah. That was a good trade.
Starting point is 01:14:46 It was a good trade. So we got in then, and then over the years I built a great relationship and then just last fall I put a deal together and own 5% of the Mercedes team now. Congrats. And now you ride yourself. You're in the Bronze League, I hear? Yeah. So I race, in fact, I got to go back for a race in Daytona.
Starting point is 01:15:03 Nice. We've got the 24 hours of Daytona. What do you drive? What kind of car? LMP2. Explain what it is. It's a full-fledged race car. I mean, it looks like a... Like an F-1 car?
Starting point is 01:15:13 With covers over the wheels. Got it. So it's safer. Yeah. What do you think of this new Corvettes XRX-1? Have you seen this beast? I'm trying to get one. You too?
Starting point is 01:15:23 I know. I got a contact at GM. Everybody's got a guy. They gave me an E-ray to play with. Yeah. Which is kind of the precursors. You know, they took the E-ray and they put it in the X-R-X-1. Yeah.
Starting point is 01:15:34 And my lord, off the line, it's like having the Tesla acceleration off the line, and then you have the, you know, 600 in that one, I think it was 600 horsepower plus 150. You got about 800. This new one, it's a thousand horsepower plus 250. I think cost $200,000. And for the money, it's a tremendous car. And, you know, I still think to this day, I mean, someone will keep me honest, that the ZR1 will and will still have a warranty even if you track it. Really? Yeah.
Starting point is 01:16:03 It's one of the rare cars. At least it used to be. Yeah, they said you can take the ZR1 with the ERA version. You could change the driver profile. Lower the RPMs, you know, when it shifts and everything. So you can actually talk on the phone. Yeah. You know, and have a conversation and not make the passenger throw up. You want to hear the engine.
Starting point is 01:16:21 I think that's right. I had a C6 convertible in that generation, which was just dynamite. Canary yellow. What color are you looking at? This is where we're going to get real. You saw that crazy green. I like the blue. You like the blue.
Starting point is 01:16:35 Yeah. They have like a really beautiful, vibrant blue. Yeah. That's, I was looking at the silver. And I don't usually like silver on cars, but it looks on that car. It looks tremendous. I keep all my Mercedes silver. You do?
Starting point is 01:16:49 Yeah. Interesting. All right, listen, the question everybody wants to know, Greenland, what should we pay? You know, I'm- How do we make a deal? I'm sure there's lots of deals that's above my pay grade, But I think whenever you see the geopolitical tensions go up, there's always more secure activity. So I think it's good for business. It's good for business.
Starting point is 01:17:08 Seems like something we should. The Trump administration is spicy on the margins you may have seen. But they've been good for business, yeah, supportive of the business community. I think so. And, you know, when you think about what the administration is doing with security, they're taking a business first approach. You know what that means? They want to save money. They want to consolidate. They want platforms. They want better outcomes. Right, and they don't want this piecemeal buying across the government. So absolutely, I think they're doing a great job in security. I've been asking people's perceptions, and it's overwhelmingly been, yeah, they're calling us up. They're at the table, they're engaged.
Starting point is 01:17:44 So whatever you think, politically, you know, all these culture where issues, they're listening and they're engaging in the business community, which I think it's a great thing. All right, brother, thanks for doing it. Thank you so much. Talk soon. And transportation, of course, is one of the most important parts in the business sector. and V-TOLs. We're promised flying cars. We still don't have them. But my guest today, who's spoken and is a friend of the All In podcast, is going to tell us how close we are to getting rid of these noisy helicopters buzzing around and having V-TOLs, nice and quiet ones. Adam Goldstein, CEO of Archer Aviation. Welcome back to All-In. Thank you. Good to be here. Two years ago, you were at the summit. You promised us we get flying cars.
Starting point is 01:18:26 When can I mean, that's, let's just get to breast tax. This is all anybody wants to know. When can I go from Manhattan to JFK? When can I go from San Francisco to Oakland Airport? When is this going to happen? And is it going to happen in the United States first? Or is it going to happen in the UAE or Saudi or maybe China? The hardest part about bringing these aircraft to market is a certification.
Starting point is 01:18:51 Like we have to prove that these aircrafts are really safe. It's not, you can't blame the regulators. It's not a regulatory thing. They actually have to be very safe and reliable. So the rules got put in place, but the most important thing that happened in the most recent history was that President Trump issued an executive order that was fast-tracking the program through the regulators and really starting to create a platform for us to launch. And so they are now five cities going to be announced in the first quarter and then we'll start flying in this summer. And that will be the first time you'll see these aircrafts flying in around the cities on a regular basis. that will allow the general public to get comfortable with this,
Starting point is 01:19:27 and they will certify us sometime after that because the political side of this is not a Democratic-Republican thing. It's a consumers have to feel comfortable with this. Of course. Yeah. And so we don't want to be fighting that. And so they're giving us a chance to go do that. Okay.
Starting point is 01:19:40 So it's 2026. We're sitting here January of 2026. You guys are going to announce five cities? The government will. DOT will. Oh, here in the United States, they're going to, and these are for all veto companies, Joe, via yourself, all the contemporaries,
Starting point is 01:19:53 we'll get to do those five cities first. Correct. You got any guesses of what they could be? What are people thinking? And how are they selecting them? Well, my big push has been around Huntington Beach right around Los Angeles because... You live there?
Starting point is 01:20:05 I don't, but we won the exclusive for the LA 20 Olympics. And so that was a big deal for us. So we need to start trial operations, really ramping up the ops because it's challenging. We also recently bought the Hawthorne Airport right outside of LAX to help give us a hub. Orthone, the private... I've flown out of it many times.
Starting point is 01:20:25 Exactly. So that's a- Humble Brack. It's a great platform. You bought it, wait, let's just let this soak in folks. Archer Aviation bought an airport. We did. Can you just buy airports?
Starting point is 01:20:37 It's a privately owned enterprise horthon. What did that cost you? Yeah, you can. I'll call it a sort of buy it. You can control it. So there's a runway that's owned by the municipality. There's all the property around it. And then there's the control of the master lease.
Starting point is 01:20:50 It is very hard to do. They come up for sale every 50 years. So if you look back, what does that cost you? It's around $170 million for everything, including the FBO and all the real estate around it. So you own all the real estate, that's got some residual value. But this gives you a massive opportunity because Los Angeles is known for its traffic. So that would be a place where you could have a home base for these? Exactly.
Starting point is 01:21:12 It also happens to be home to a lot of the Elon companies. And so it borders SpaceX, the original Boring Tunnel was there, Tesla Design Center is there. You have a lot of good connectivity around the other. good connectivity around people trying to change the, you know, the future of transportation. Oh, yes, I'm sorry. I was thinking Van Nuys. Horthor in the south. Funny story. Name drop. Elon was like, hey, I'm thinking about renting a place for my rocket ship company before I had a name. Want to come down and see it. I went down to see it. It was at Horthon. And I said, he had just gotten the Falcon. And I said, can you land the
Starting point is 01:21:47 falcon here? He said, yeah. I said, get this office space immediately. So you are. own the SpaceX office or you're the... That's on the other side of the fence. Got it. And so we have the airport side. They have some hangers there. What a perfect location because if memory serves me, it's just south of LAX.
Starting point is 01:22:02 About two miles from LAX, about two miles from SoFi Stadium. So the goal is to make that a hub of Los Angeles. Imagine a Grand Central type of facility. Yeah, you go down to San Diego, Laguna, just so many places to the south Manhattan Beach. And let's push our imagination here. Boring companies also based there too. And so maybe we can convince Elon to start digging some holes
Starting point is 01:22:22 around LA. Yeah. And all of a sudden, you could really transform LA. What do you think the other cities will be in America? And how are they picking them? Well, the FAA and DOT are going to be the ones that choose. OK. So there's the companies have submitted, in partnership
Starting point is 01:22:35 with the cities, these different bids. And I think it's going to be a mix of urban areas, rural areas. I think it's probably going to be a lot of red states you'll see. So my guess is you'll see something in Texas. You'll probably see something in Florida. Maybe you'll see something in New York. Red states because Trump's a Republican, or because they're even?
Starting point is 01:22:52 easier when it comes to regulations. I think both. It's also just easier to operate. Got it. And so if you want to land a helicopter in California, there's a lot of rules, you want to land one in Texas, you put it on the grass wherever you want. You know, it's interesting when I got my ranch in Texas, they were like, this is a perfect place to put a helipad.
Starting point is 01:23:06 And I was like, hell, yes. Yeah. Like, you can really put a pad down, and they're like, yeah, it's your ranch, you can do whatever you want. Now, in LA, it used to be that people would land helicopters in their backyards. I don't know when that stopped. But what are the rules in LA now?
Starting point is 01:23:21 Each municipality has a different around the different permitting you need, the different amount of time that takes to get done, how you certify the helipad, if you need to certify the helipad. So you basically can't do it. Yeah, it makes it very hard. That being said, this is a safer platform than what already exists, helicopters.
Starting point is 01:23:36 So I think there'll be a lot of loosening of that because it's just increasing safety to something they already do. Now, New York City, that's the big one. I think Joby made announcement that they're going to be at one of the ports, yeah, your contemporary. I don't know if I would describe you guys as competitors now, because, like the early, like the early days of, say, EVs or self-driving cars,
Starting point is 01:23:54 if this works, man, we're gonna need 10 archers and Jobies to do it, but they're gonna be at Manhattan soon, yeah? Yeah, we both will operate out of the city. I mean, it's a wonderful place. It's already the biggest helicopter market in the US. So there's three big heliports that exist already, the west side east side and the downtown Wall Street heliport. So it's already naturally kind of configured.
Starting point is 01:24:13 It is a very complex congested airspace. And so I also think, you know, the way that this will come to market will be in, you know, relatively low volumes, will gain the trust of the public. They'll allow us to keep scaling this stuff up. So you can start with maybe tens of aircrafts, and then maybe over five, 10 years,
Starting point is 01:24:28 you scale it up to hundreds of aircraft. Just like the Robo Taxi and Waymo story. You start slow, build trust. Are you guys on the clock? You've been working on this for a decade, yeah? Yeah. So the tech actually goes back to NASA 40 years ago, how to use multiple electric engines to fly airplanes.
Starting point is 01:24:43 And then really kind of thanks to Larry Page and the early work at Ziero, they really helped, you know, bring a lot of that technology. Yeah, Larry bet on two or three, right? Yeah, so he's been super involved. He was a huge part of the industry. And then if you go back, really Uber did a great job when they had the Uber Elevate Platform, which really put it into the mainstream.
Starting point is 01:25:04 That was around 2016. With Blade, right, they were doing? Yeah, they kind of, well, they really were like almost a research project to showcase what the business model could be. Oh, right. I remember when Travis did that, yes. it's the next $9 trillion market. That opened up the capital markets to everybody.
Starting point is 01:25:22 And so that allowed us to do that. You guys spacked right after or during COVID, yeah? 2021, yeah. Okay, so right after COVID started to wane. And was that the right decision? I know these spacks have been up and down, being public can be a distraction, and you guys are a deep tech company with a long runway.
Starting point is 01:25:39 What's it like trying to deal with shareholders in a public company when, you know, you're in a multi-decade rollout of a product like this? I actually give a lot of credit also to the Reddit community because the retail army really helped allow Archer to raise the money it needed to raise in order to get to where it is. So we've raised about $4 billion of capital today. Four billion. Wow.
Starting point is 01:26:01 Yeah. And we'll probably, you know, over time, you'll raise more. But the stock is super liquid. Because it has such a huge fan base in the retail market, it creates liquidity, which allows the institutional investors to play, which allows the whole kind of cycle to keep going. So as long as we keep performing, there's this pot of gold at the end of the, you know, the Morgan Stanley sort of pot of gold, we should be able to keep stair stepping up the valuation, keeping everybody happy, raising the capital, keeping it going.
Starting point is 01:26:23 Deep Tech is extremely capital intensive, and this was the right avenue for us for sure. It's really interesting when you think about it. Who is a better base of investors for long-term public markets, institutional investors, venture capitalists, private equity, or the lunatics on Reddit. It turns out the lunatics on Reddit, all due respect, I say that with, like, peace and love, like they actually probably get it right because they know what consumers want. Yeah. And they're willing to go for it.
Starting point is 01:26:50 Yeah. They're also willing to kind of look past the quarterly earnings issues. Right. And really to say like this is a technology they want. I mean, who wouldn't want it? It's safer than helicopters. They're super quiet. They cost less.
Starting point is 01:27:01 It's convenience for everyone. Like nobody loses here. This is a win-win type of product out. You guys are flying runs. Obviously, where are you flying the runs currently? So two core places we fly. One is in Northern California in the Bay Area, so we fly at a Salinas, the airport there, which is about 90 minutes south of the Bay Area, and then also in the UAE.
Starting point is 01:27:19 So we have a great partnership with Abu Dhab. Mubah has been an investor. IHC. has been an investor. Oh, Mubato is an investor? Yeah, they've been a wonderful partner. Ibrahim, yeah. Yeah, it's really opened up the country. Yeah, they're thinking in 50-year cycles, I think.
Starting point is 01:27:34 How often do you fly this thing? What's the distance that it flies, and are there humans in it? Yeah, so we fly most days piloted flights. And so you can fly them without pilots. It's actually pretty easy to fly the planes, you know, autonomously or remotely or, you know, automated is a better way to really describe it. But we fly and piloted and the goals to work towards enough flight hours, enough confidence from us, from the regulators that we can start, you know, operating a commercial service.
Starting point is 01:27:58 We're getting there. It takes time to do that. I mean, how often do you fly in it? I haven't flown it. Just the pilots do. Why, they won't let you? You're the CEO. No, you could.
Starting point is 01:28:07 I mean, if you look at, we're just sort of honest about flight test programs. It's, you know, there's a dangerous part when until you kind of cross every T here. And if you go back in time, I mean, most of the big aerospace companies have had crashes with early platforms. So you really try to be careful with just the test pilot, very serious testing, until you get to the point where you're close to the certification side. Virgin Galactic, another SPAC. They had a tragic instance. And, yeah, aviation is dangerous in the early days. When will you be willing to get in one? I guess is the question we all want to answer because we're not.
Starting point is 01:28:41 and getting in until you'd do it every day. Later this year. That'd be my case. Later this year? Yeah. Now you're married. You got kids? Married to two kids.
Starting point is 01:28:46 Okay. So we have the conversation with the wife, I assume. Probably tell her after. What's her, oh, but what's our position? When will she let you go in it? She's a huge believer and supporter of everything I've done. Okay. So I think she'd trust me when I think it's time, I would do it.
Starting point is 01:29:00 She would be okay. Listen, continued success with it. It's obviously going to work. It's obviously going to change the world. What do we need to know, as we wrap here, about safety and why, why these are much safer. Because the idea of even having a pilot seems a little bit performative. Like, is it just to make the passengers feel a little bit better?
Starting point is 01:29:21 Because these things obviously are going to be flown by computers much better than pilots eventually. And eventually, I mean by the end of this year. Yeah, the challenge with autonomy is regulation and infrastructure. So even if you couldn't do it, there's no rules in place to get that done. And even the rules were in place, how does the system work? Because today air traffic control is very, very manual. If you listen on ATC, when you fly in somewhere, they're guiding you in, turn 10 degrees to the left, drop 1,000 feet in altitude.
Starting point is 01:29:48 That makes total sense. So the infrastructure doesn't allow for autonomy. Yet. Yet. Even though autonomy, we would both agree would be safer this year than a pilot. Would you agree with that statement? Assuming you could work your way into the air traffic control system, definitely. The actual humans make mistakes.
Starting point is 01:30:06 Computers make a lot less mistakes. And so maybe no mistakes. And so it's certainly, that's the dream, that's the goal. With the advancements of LLMs, it actually allows this interesting period of time where you can now communicate with the machine in a way you couldn't really before. And so there's this probably middle ground that happens where there's pilots talking to machines, machines talking to pilots. And so you can start to implement different systems.
Starting point is 01:30:28 And that's where I think it goes first, actually. Ah, that's fascinating. So when you're clearing with the tower, it's just that the VTol is talking to the tower. Yeah, it's think about like, you know, instead of like looking at your math, looking at the weather, you know, understanding, you know, all the different trackers you have to follow. The machines can just do that and make the decision and say to do this. So it actually is easier for a machine to do it than a human. And again, I would encourage you, listen to Air Traffic Control.
Starting point is 01:30:52 Oh, I've listened to it, yeah. I'm obsessed with it. There's an incredible channel on YouTube called Blanco Lerio. Have you ever heard it? No. So go on YouTube and Patreon and throw this guy five or ten bucks a month. Yeah. He's based out of, he's a pilot, commercial pilot, and he's based out of Lake Tahoe area.
Starting point is 01:31:07 and all he does is break down every aviation incident. And it's amazing, and I've become a little bit obsessed with it, and he just breaks it all down. It's almost universally. The pilot makes some series of incredibly poor judgments. I'm talking about private aviation as opposed to commercial aviation. And it's just great that there's somebody like him out there. Now, how many rotors on the thing?
Starting point is 01:31:33 12. 12. Now, is that six with two in each, or is it like, 12. It's 12. Which means 12 motors? Yeah, there's actually redundant motors. It's actually 24, but we for simplicity call it 12. So there's 12 redundant motors, 24. And then how many, how many, are they double blades, like one on the bottom, one on the top? There's five blades on the ones on the forward part of the wing and four blades on the ones on the back. Why? There's lots of different reasons. One are used just for the lifting portion, so the ones in the back, and then they
Starting point is 01:32:03 stop. And then the ones in the front are used for both lifting and the cruise. So they have different configurations. What scenario do you have the most concern about and then work on the most? Because with 12 of these, anybody who's flown, you know, just a toy drone, if you come up to it, you push it, you hit it, it just immediately gets back. Now with 12 of these and 24 and your technology, I'm sure it's even smoother and better than that. So what do you worry about? like some catastrophic electronic failure, or the electronic systems redundant, the battery failure? Everything is redundant.
Starting point is 01:32:40 Like, you have to design. What do you worry about? From a safety perspective, today, I would say the biggest thing is the pilots. That's probably the thing you worry about the pilots. Now what are we worried about? You're always worried about just different cascading failures. Got it. So, you know, there was an incident in the industry where one of the companies had a propeller blade dislodge
Starting point is 01:32:59 and it cascaded their aircraft. You don't really know that unless it actually happens. blade comes off, hits the other blades. And then the whole thing cascades. So you don't really know if that's going to happen until it happens. You have the math behind it that you can try to predict. But when scenarios happen, you know, so there's,
Starting point is 01:33:14 you know, you try to protect against cascading failures. How many of these 12 could go out and the thing could safely land? Well, one of the beauties is we're also building it to be able to take off land conventionally. And so you can lose a lot. We have a big 50-foot wing. You can glide.
Starting point is 01:33:27 The glide ratio is huge. You can get up to max 10 miles of glide. So you can do a lot of things here. That's the only way to really certify at the standard ZFA wants you to do it. So it gives you a pretty big... So you have those nice wide wings, you can glide in. Yeah. What height?
Starting point is 01:33:41 What's the ceiling on these now? They can go up to 11,000 feet. There's no real reason to. It's not pressurized. You really want to fly helicopter range, 500 to 2,000 feet. What do you take from the helicopter industry away from, you know, when they have accidents? What happens? It seems like those pilots particularly are really,
Starting point is 01:34:02 skilled, but also maybe on the margins, maybe I'm reading into this, Cowboys, a little bit eccentric. Yeah. Yeah, I mean, it depends. I mean, every scenario is obviously, like, pretty different. The beauty behind these aircrafts is the redundancy allows you to just have a capability to certify with near zero single points of failure or zero single points of failure, where helicopter doesn't have that. So, you know, if you think about one big rotor, there's a lot of parts that go into making
Starting point is 01:34:31 that one big rotor work, and if that one part fails, you have a catastrophic event. So that can happen. They're mechanical complex machines. And so, you know, with the EVitol side, you reduce that complexity. By what, if you were to say it's X times more safer without us, like, you know, holding you to it, if you were to ask the 10 engineers working across the 10 companies in your field, not you, But what do you guess those 10 engineers would say it's currently this times more safer than helicopters? Well, that will be a standard that the FAA makes us certify to.
Starting point is 01:35:09 So the question will be what's the ultimate standard? So 10 to the minus 7, 10 to the minus 8, 10 to minus 9. One at a billion, 100 million. Yeah, but you think it's twice. What would you be? It would be an order of magnitude safer. So three, four, five times safer is a pretty reasonable goal, 10 times a reasonable goal. Why are you here at Davos?
Starting point is 01:35:26 You virtue signaling about being all electric? What's going on? Selling aircraft. You're here to do business? Yeah. Who you sell into? Just if nation states? Yeah, so geographically, obviously, easier to sell stuff than the US or kind of close to the US.
Starting point is 01:35:40 Here you get to meet different companies and countries. The Middle East, GCC has been very active. Africa's been very active. Asia's been very active. So there's a lot of great folks to go see where you can kind of line them all up. So we'll announce, you know, deals here. We'll sign things. here that will ultimately get announced.
Starting point is 01:35:58 So it actually is very beneficial from a business standpoint to come here. And most of the companies here are AI. So there's a lot of AI talk. We're a non- like AI predominant company. There's a lot of AI in what we do, but we don't sell AI. And so we sell infrastructure. And it's the perfect place to meet the ministers of transportation.
Starting point is 01:36:15 Perfect. Yeah. The head of state. So there's lots of opportunities to, you know, kind of bring Western Tech to this country. I think they see having VTOLs as a point of pride for their country, yes? some of some countries. Like this is, I don't want to say vanity project, but it is something they can point to and say,
Starting point is 01:36:31 look, we got here first. Yeah. And they could see the UAE, I could see Saudi, I could see Qatar, Kuwait, all feeling that way. Like, oh, we have this. Absolutely. There is another element where, you know, Davos is sort of a non-defense oriented.
Starting point is 01:36:44 They don't like you to talk about defense here. We do have a really strong partnership with Andrel. And so we've been building the new kind of autonomous, attritable aircrafts. We talked about one of the programs. What was the second word you? Autitable, they call it. So, what does it mean?
Starting point is 01:36:56 It's not a 20-year plane. It's not expendable, like a one-time missile, one-way type of product. They call it, like, space in between, they call it, tritable. If you lost it, it wouldn't be a big deal. Yeah, so you, the goal is, so the, one of the programs we've talked about is one is called the Project Nix. It is an autonomous, collaborative attack helicopter drone. So think like, sort of like, you know, an Apache type of platform.
Starting point is 01:37:18 So there'll be a big manned asset and they'll have a bunch of drones that fly with it. So that's a program we're working on with Andrel. We build the core aircrafts and Rhell missionizes it. So think sensors or munitions, those kind of things. But it would fly with a bunch of little drones around it to protect it? We are effectively, they're not little, but it's, you know, these are huge aircraft. We, it's almost like, think about it this way. If you have an Apache, which is a 50 to $70 million asset.
Starting point is 01:37:42 Yeah. And it has a person in it. You don't want to risk it for lots of reasons. One, there's a person, two, it's super expensive. Three, very hard to replace. If you're not willing to risk it, it's not that much of a deterrent. And so when you do risk it, you want to be. certain you can have these things come back. But what if I could make an aircraft that does the same
Starting point is 01:37:58 thing, the same fighting power, maybe more fighting power at 90% lower cost with no, with no pilot? Wow, that's key. Because these pilots are worth $25 million each. They literally have a friend who was in Special Forces and he told me that they put a number on each of them, how much they invested in the replacement cost of a Navy seal, he wasn't in the Navy Cells, but one of these kind of type groups. You could actually know the replacement cost of a person. And they called them assets, you know, these top elite folks. So you have no problem working in defense. That's awesome. Yeah. Oh, I'm a, I'm a patriot. I'm a super believer in what the U.S. is doing. And they've been, you know, as a country extremely helpful to new industries like Archer and E.B.TALs.
Starting point is 01:38:41 Maybe more so than the last administration. A lot more so. Just the quick example on that was I could not get a meeting with the former Secretary of Transportation. Couldn't get a meeting. Wouldn't take a meeting. And I know he's busy. Wait, wait. You're a publicly traded VITAL company who's meeting with the Gulf monarchies being courted. Zero meetings. And you requested meetings. Requested meetings. How many times?
Starting point is 01:39:03 Multiple times. And they literally, this is Brian Armstrong's story. He wanted to meet with the SEC. They're like, yeah, no, we're good. Secretary Duffy comes in and all of a sudden, like, monthly. It was, we want to make sure we can re-industrialize America. This is important. Aviation leading the world is important.
Starting point is 01:39:19 And modernizing air traffic is important. And if you can help in all that, we want to hear from you. What can we do to help you? And that was resulted, by the way, in the executive order that came out. And so that helped the industry, because I showed them a path, because we won the exclusive for the LA-28 Olympics
Starting point is 01:39:34 to fly air taxis around that city during the game. And so we'll sort of control the air during that. And I said, I need a path to make sure I can do that. This will be a huge opportunity. I think people have not taken, the Democratic Party has not taken this to heart yet. It's not about being subservient, into the technology industry or capitalism or corporates.
Starting point is 01:39:57 It's about winning the future. And part of winning together for American companies is at least meeting with them and hearing the vision. Like how does that hurt the previous Secretary of Transportation to meet with the veto companies? How did it hurt the SEC to meet with Brian Armstrong or any number of crypto companies? It was, they were in contempt, it seems, in hindsight,
Starting point is 01:40:23 of the entire technology and business industry. Yeah, I mean, in the end, if this works, imagine the jobs we will create, imagine the GDP contribution we will create. I mean, the FAA administrator, you know, kind of publicly keeps saying, 11% of GDP touches aviation. And so it's capped because of air traffic.
Starting point is 01:40:42 We have to upgrade that system. I'm red pulling, pulling myself as we speak here. But it's like if you believe that, then you would think you want to unlock that and it will help everybody, like literally no one loses. So you would think you'd want to do that. It was almost like they had like an axe to grind with capitalists for some crazy reason. And the opportunity to embrace the industry was always there for them.
Starting point is 01:41:05 Whether it was incompetence or intentionality, the result is the same. They set back the industry years by not engaging. Greenland, how much should we pay? What do you think? What do you think it takes? I will tell you. Jump into it. Make yourself an interesting guest.
Starting point is 01:41:18 We should take it, right? We should just take it or we buy it? I saw something that said there is an offer that was more than the GDP of Denmark. And so I was like that. I mean, there's 55,000 people. Let's make a deal. How much do you all want? Well, the funny thing of my meetings here, so I come to sell, you know, aircraft.
Starting point is 01:41:38 That's what we come to do. And I will get asked that question in nearly every meeting. And I mean, literally back in Silicon Valley, like no one, I mean, yes, we've heard it on the news, of course. Yes, of course, it's important. but people aren't talking about it on every hour basis. I come here at every meeting, there's people commenting on it. So there's definitely an obsession here. And Trump negotiates by tweet or by truth, social, whatever they call that, a platform, by truth, by post.
Starting point is 01:42:05 Say what you will. This has been on the agenda for America for a century or two, and it's a critical deal. If President Trump gets incredible enjoyment out of negotiating a deal and solving a long-term problem for America, I say let them cook. Yeah. Let them cook. I agree. Greenland, we're here.
Starting point is 01:42:23 51st state, let's do it. All right, listen, continued success. And thanks for coming on the pot again. We're very lucky to have Chase Locke Miller with us. He's the CEO and co-founder of Crusoe, C-R-U-S-O-E. Not Caruso, Cruceo-Claug. You got it. Which is, or was, the first neocloud, really.
Starting point is 01:42:39 You were kind of... We were probably in this name. We're probably an early contingent of neoclots, you know, between us and Corweave and, yeah, Lambda. How did that occur because you... had anticipated buying a bunch of H-100s before everybody else and you had the inventory. How did that start that you got such a good lead? Well, so we had started well before Hopper came out. You know, we were, you know, Crusoe's a business that's always taken this very energy-first approach
Starting point is 01:43:04 to developing computing infrastructure and really changing, you know, the motion from trying to co-locate compute in these network hubs and really focusing on where we can access. abundant energy. So, you know, we're experimenting a lot with, you know, the Amper generation, which preceded Hopper, so a lot of A-100s. We built out this, you know, high-performance cloud platform that was meant to enable AI innovators to, you know, do incredible work. You know, we launched before ChatGPT came out. And so, you know, sometimes you're in the right place at the right time. Yeah, timing was good. Yeah, timing worked. And your biggest customer, by far, is Oracle and OpenAI?
Starting point is 01:43:52 Correct. So, you know, we're a vertically integrated business, which means we're focused on not just the compute layer, but also the energy development, the data center development, as well as the application layer where we're running things like our managed inference service. And, you know, as this boom really took off, you know, the scarcity of data centers became very apparent and our ability to build those large-scale AI data centers very quickly became a very in-demand, you know, skill set. So, Lisa. Hey, guys in the back, if you're talking, can you just take it outside because it's going to get picked up on the pot? Appreciate it.
Starting point is 01:44:28 Three, two. So why West Texas? Is it because the politicians there and are pretty permissive in terms of giving permits and you can build quickly, like Elon experienced with his big factory in Austin, or is it because of energy? Yeah, it was really an energy-driven decision. So, you know, in Abilene, Texas, we had, you know, it's an area where a lot of actual renewables had been built out on the back of production tax credits. So there was an abundant amount of wind and solar that was there that actually had issues with transmission.
Starting point is 01:45:03 So power prices were actually frequently negative. There were renewable energy producers that were having to curtail that could be producing power, but actually were shutting down because there was no marginal demand. So the grid didn't need their energy. Exactly. That's wild to think about. It's also a while to think about that Texas has the largest solar base of any state in the union, yeah? Absolutely.
Starting point is 01:45:27 And, you know, we went there and we said, man, you guys have too much energy. Hey, buddy, I got a, do I have a, do I have an idea? I got an idea. And so we, you know, we have a 1.2 gigawatt substation there. We've also built a 350 megawatt gas plant on site. to energize one of the largest clusters of GPUs in the world. So was there gas under the actual data center or they're shipping? No, no, no. We had access to a pipeline that feeds into, you know,
Starting point is 01:45:55 10 gas turbines that are on site there. Amazing. And the gas turbines, those were a blocker for a while too, huh? They still are. I mean, you know, gas turbines are a massive supply chain constraint as people look to energize compute infrastructure. I think a lot of people, we were really one of the first groups to be focused on, you know, natural gas. powered data centers doing things behind the meter, off grid. And I think a lot of people have sort of followed this pathway, which has created a lot of supply chain challenges with some of the major producers,
Starting point is 01:46:24 folks like GE-Vernova. You know, Caterpillar has a company called Solar that we work with very closely. You know, Siemens, Mitsubishi. And we actually recently did something with an incredible company, Boom Supersonic. Yes, Boom Supersonic was making the Concord replacement, Blake. Correct. Blake's amazing. and they're making their own engines that go pretty fast.
Starting point is 01:46:46 And so what was the idea there? Yeah, so they had re-engineered this turbine for supersonic jet travel. And, you know, Colleen, my co-founder and I were talking to Blake and said, hey, you know, could we use that to generate power instead of, you know, transport people over the ocean at supersonic speeds? And, you know, now we're, you know, their first large purchase order for $1.2 billion of gas turbines to power AI, critical AI. infrastructure. It's wild to think about the gas turbines and jet engines are not super dissimilar.
Starting point is 01:47:20 No, I mean, I think this is the full playbook of, you know, GE historically, right? I mean, the reason GE for Nova exists is, you know, their leadership in terms of, you know, air transportation, as well as power generation. Yeah. And I wonder if it's really interesting about that opportunistic thing for Blake to do from Boom Supersonic is that now that will allow him to fund his Concord replacement, yeah? Absolutely. You know, power is a great business, and, you know, we think he can make a lot of money as, you know, the scaling up of AI infrastructure occurs.
Starting point is 01:47:54 And hopefully, you know, he's able to build those incredible supersonic jets that get us to Tokyo much faster. And the Stargate project. Yep. Is a $300 billion project? What's the number? Because there was big announcement at the White House, and there's been a little, you little bit of, you know, wink, wink, like these are numbers, we're kind of estimates.
Starting point is 01:48:18 What's the realistic footprint of this? So, you know, I think Stargate has been a term that's been used to describe a lot of different things at this point. You know, initially our campus was called Stargate, and then, you know, Stargate was then a company for a while, and then I think OpenAI sort of described it as all of their spend on compute. It's just sort of broadly labeled as Stargate. So I think the number is 500 billion, and this incorporates chips, data centers, energy,
Starting point is 01:48:49 to ultimately power this intelligent infrastructure that's running and scaling both chat GPT and all their other core services. One of the blockers, in addition to the turbines, has been electricians and construction workers. My understanding is you're playing two to three times what they were getting paid before the data center. No comment on exactly what we're paying the electricians, but they're very well compensated. Am I in the right zone that their salaries in the industry have doubled or tripled? Look, I think it's an incredibly exciting career path for anybody looking to do work with their hands and get well, very long. Hundreds of thousands of dollars a year.
Starting point is 01:49:30 Yes. So, you know, what... I mean, let's think about that for a second. No college degree. Yeah. You just have to be an apprentice as an electrician, and you can make hundreds of thousands of dollars. And you need how many? Thousands, hundreds?
Starting point is 01:49:43 Correct. So we... Which one? Thousands or hundreds? Thousands. So I'll get into it in a second. So I'll give me an example. So in Abilene today, we have 8,000 people on site every day.
Starting point is 01:49:53 They're working day and night to bring this facility online as fast as possible so we can energize this until... And that's three hours west of Dallas. Correct. So it's in West Texas. You know, Abilene is a town of 120,000 people. So, you know, when you're hiring 8,000 people to work in that town, you can't source everybody locally. So we've actually had to bring in a lot of labor from all states.
Starting point is 01:50:15 And housing, I would assume. Yeah, housing, you know, housing, you know, the market's actually fairly efficient. There's a lot of people that won't be long-term permanent workers there, that are actually, you know, they bring mobile homes, you know, they collect a stipend. It's, it's kind of a very, you know, efficient process in that regard. But, you know, long-term, we're going to have about 2,000 permanent workers at the campus. So there's both, you know, short-term job, you know, spike and boom in terms of demand for the construction and installation process. But there's also great long-term permanent jobs to operate the facility. And we have a power plant there. There's a lot of mechanics that are going to be operating this facility.
Starting point is 01:50:52 But this is just one campus. We have another campus in Armstrong County, Texas that, you know, has close to 3,000 people on site every day. We have another project in outside Cheyenne, Wyoming that we've announced we're planning to build a 10 gigawatt campus. Why, Wyoming? Wyoming is a state that, you know, is very rich. and natural resources and energy. And there's been really favorable, you know, public-private partnerships in terms of making this project happen. You know, there's a tremendous amount of gas there
Starting point is 01:51:22 to sort of support what we're doing. And one of the very cool things that we're focused on is actually trying to bend the arc of energy production towards sustainable resources. So even with the gas, Wyoming is a place where you actually have primacy on what's called class six wells. their post-combustion carbon capture and sequestration disposal wells, where you can actually take the carbon that comes out of the combustion process of a natural gas turbine,
Starting point is 01:51:49 and you can pump it underground and permanently sequester it. And there's actually an incentive there called 45Q, where you get paid by the government to do this. And it doesn't quite cover the cost of doing it, but for customers that care about sort of the impact and the sustainability of the campus, they're not putting the carbon into the atmosphere. Exactly. putting it underground.
Starting point is 01:52:09 They can produce power from gas in a carbon-free way, which is a really exciting value proposition. How are batteries? I think we saw Elon bought a in his building. He's got his own lithium refinery, and he's building obviously his own batteries, and they're one of the larger battery manufacturers. How do batteries play into all this currently?
Starting point is 01:52:32 There's a bunch of different ways batteries play into it. I think, you know, you sort of need batteries in these. low-voltage UPS systems that sort of, you know, help operate the electrical system of the plants. Just to normalize and baseload or? Yes. Actually, one of the issues that we're seeing is, you know, when you think about these large-scale AI factories, when you're deploying giant clusters of GPUs, you know, the entire data center is acting as a single computer.
Starting point is 01:53:02 It's running one single workload that's training some breakthrough foundational model. And what that results in is actually massive load fluctuations in the actual power draw, because what they're doing is the chips are basically running compute cycles and then publishing the data over the network to all the other GPUs. They can sort of be in sync with one another. This causes this massive fluctuation and sort of overall power draw. Well, utilities hate that. It's terrible for the turbines.
Starting point is 01:53:28 So you really need a way of actually normalizing that power draw. Exactly. So we've actually been able to solve that with a one-hour battery, that's actually a medium voltage battery energy storage system. That's something that we've deployed. You know, there's a lot of other use cases for batteries. I'll give you another example. We're actually working with Elon's former co-founder
Starting point is 01:53:48 and partner at Tesla, J.B. Strobel. Oh, he's doing the recycling of them. Correct. So he is a business called Redwood Materials that's focused on recycling of batteries. And he has this massive supply of end-of-life EV batteries, batteries coming out of digital cameras, all these, like, you know, this whole collection of batteries that are sort of at the end of their life.
Starting point is 01:54:09 And so as a demonstration, to show people what we could do in terms of cost competition as well as deployment, we actually deployed a fully off-grid solar plus battery energy storage system that powers an AI data center 24 hours around the clock with a power price that's lower than the power price in Northern Virginia. And we're able to do that because you're basically taking these batteries that we're in an electric vehicle and maybe the range was 300 miles and now it's 250 miles. So the, you know, the owner trades it in and it's like, okay, this car is done, right? But there's still a lot of juice left in those batteries. Just a lot of use of life in those batteries. So we're able to really
Starting point is 01:54:49 make use of them in a second life to power these AI data centers. You're under massive pressure to deliver these data centers, correct? Yeah, yeah, you could say that. Compared to where you were like two or three years ago, maybe let's say three or four years ago, you were knocking on doors saying, hey, do you need a data center? Now your door is being knocked down. I think there's just, I think it just really speaks to, you know, the demand for compute. I think people are constantly having this conversation of like, are we in an AI bubble? You know, I think there's just an incredible, you know, there's no, nobody has enough compute. None of the, you know, leading labs, none of the leading application companies can get their hands
Starting point is 01:55:28 on enough compute. And that's just driving an incredible amount of urgency to deliver infrastructure, both the chips and the data center. even this year going into 2026, you're seeing the same amount of inbound, hey, we need more, we need more, we need more, what do you got? Or was last year like people put in their big orders for the next couple of years? No, we're seeing things accelerate. Who are the new customers? Because obviously Elon, Sam Altman, I'm sure AWS, I'm sure.
Starting point is 01:55:59 Well, I think Google does their own, yeah? Google, I think, well, I don't want to speak for you can directly. This is All In. If you want to be on All In, you've got to speak candid. Just tell us what you heard at the cocktail party. Google does a mix of, you know, self-performed development as well as sort of outsourcing. So they do do some outsourcing, yeah. Correct. But, you know, I think all of the leading labs were seeing a tremendous amount of demand.
Starting point is 01:56:25 So, you know, Anthropic, Open AI, you know, Google. Elon builds his own. Elon builds his own. What was your take when you saw him build Colossus under that short time frame? Like your team must be like, that's just not possible, and then he did it. No, I don't think we thought that at all. I think I was really rooting for him. How much fact?
Starting point is 01:56:45 No, but did he, my understanding is he did it in half the time anybody else had ever done something like that? I mean, it depends on how you sort of measure these things. I think Colossus was a unit, Colossus one was sort of this unique case where he had this in large-scale industrial building, he had power to the building. And really what he was doing was what I would call like the tenant fit out, which is basically the in the data hall buildout of the cooling distribution units, the RPPs, the electrical systems, the hot aisle containment systems that really, and then you sort of roll racks of GPUs into these.
Starting point is 01:57:19 So they were able to execute on that incredibly fast. Yeah, Jensen said he'd never seen anything like. Yeah. He seemed to think it was like, like, like, a unique thing that occurred in your industry. Yeah, I mean, Elon's the goat of, you know, a modern industrialist. So, you know, the hat tip to, you know, him. You as running, not competitive to him, but building the same things, you have to look
Starting point is 01:57:42 at that and study it a bit. How did he get it done so fast? What do you think, how do you think he was able to do it so fast? I think Elon does an incredible job of, you know, breaking down, you know, a large industrial process into a lot of sub-processes and understanding constraints and really taking a first-principled approach of, you know, how do I build things as quickly as possible? How do I parallelize things as quickly as possible? Got it. And has that informed some of your thinking? Oh, absolutely. I mean, he's been an inspiration from, you know, building the gigafactory to everything he's done at, you know,
Starting point is 01:58:14 SpaceX and Starbase. You know, it's all incredibly inspiring. And, you know, we try to channel that same sense of incredible urgency, you know, paralyzing a lot of the work. You know, we, we self-perform a lot of, you know, procurement functions and engineering functions. And then, you know, work with a lot of, you know, very ambitious folks on the, on the construction side. There's actually a bunch of folks that worked on the Tesla Gigafactory in your new hometown in Austin, yeah, that are working on our campus in Abilene, Texas. So there's a lot of overlap in sort of methodologies. There's been a lot of talk of, and I think Brad Gersner kind of started this discussion on his BG2 podcast, when he had Sam Altman on, how does a company with 20, or at the time, 12 billion, now it's 20 billion run rate,
Starting point is 01:59:04 how does Open AI pay for a $500 billion buildout? In your contract with him and your relationship with them, I'm assuming this is being done in stages, not one giant $100 billion contract, but stages, yeah? Yeah. Yeah, so I think it's important to understand, like, you know, in a lot of ways, my role as CEO of Crusoe, like, half my time is really spent on, like, risk management. Yes. The amount of capital going into this is just enormous. And, you know, all that capital is not going to come from, like, dilutive equity capital that we're raising at the parent company.
Starting point is 01:59:36 We have to raise project equity. We have to raise a lot of debt. And what debt folks are focused on is, how is this person going to pay me back? And so it is very much something that's being evaluated in the capital markets. And, you know, this has actually been a major role that we see these large-scale blue-chip investment-grade businesses play a major role in sort of catalyzing the capital formation you need to build these giant infrastructure projects. So when you have a, you know, a company like Google or, you know, a company like Microsoft or a company. And they're staying on $100 billion in cash and they throw $10, $20 billion to the bottom line every quarter. They could just fund it from their existing businesses, but Elon and Sam have new businesses or even Anthropic.
Starting point is 02:00:20 They have to come up with that money somewhere, yeah? Correct. So, you know, in our case, I'll give an example in Abilene, Texas, because that's the most public one. You know, we have a long-term lease agreement with Oracle, right? So we have a long-term, you know, 15-year off-take agreement with Oracle. And so they're committed to sort of paying us for that, you know, time frame. So that helped unlock a lot of the construction debt. And the capital we needed to build this project.
Starting point is 02:00:47 So we worked with JPMorgan and a number of other folks in the syndicate, Bank of America, Apollo, SMBC, a bunch of different. And they must be very excited about this opportunity. Yeah, I think everybody's really, really excited about the opportunity to build the infrastructure that's going to power the economy in the future. And this is collateralized by a data center, which has inherent value. If a customer of yours was unable to meet their commitment based on what you've told me today and shared with the audience, and I appreciate your candidness. That is the currency of the all-in brand as candidness.
Starting point is 02:01:24 There would be somebody else to take that capacity. Yeah, I think that's the biggest argument I make when people ask about the AI bubble is like, well, you know, imagine a scenario where, like, Open AI went on a business, which I don't think is going to happen. There are people saying that that could happen. Sure. I'm not saying that. You didn't say it. Imagine they did go out of business. The reason they'd go out of business is because some other model company,
Starting point is 02:01:48 whether it be anthropic or Gemini or GROC, really blew them out of the water. Well, and they're kind of in fourth place right now, according to some of the benchmark. Yeah, I mean, you know, parking that all aside. They have an incredible adoption, incredible platform. Billion users. But if that were to happen,
Starting point is 02:02:03 the group that massively surpassed them would have so much demand for that product, they would jump, they'd be jumping for joy to step into the seat to take over that compute capacity. So I think, you know, if you believe that AI is going to be an important aspect of, you know, the operating system of the economy in the future, you know, this infrastructure is going to be very useful and valuable to whoever the winners are in that future state. And people don't know this, but you've also made a bet on startups.
Starting point is 02:02:30 You've been incredibly generous to give credits to startups. And maybe you could talk a little bit about how you made that decision to play the world. long game because I would think there's probably some people on your board or in your own organization says, hey, listen, we got some big fish here. We got whales. What are we doing with the minnows? You're specifically targeting up-and-coming startups to be their provider. Yeah. So, you know, I really think about Crusoe, you know, being a vertically integrated business is like we offer three core things, right? We can build the data centers and we can rent those to customers. We really only focused on a small subset, maybe five customers, these very big tech
Starting point is 02:03:08 tech companies. And that's really their key bottleneck, right? That's their key pain point. They're not, you know, renting out capacity from clouds because, you know, meta doesn't know how to run a GPU like, of course they know how to run, you know, big clusters of GPUs. They need data centers, right? So we're trying to unblock that critical pain point for them. On our AI cloud platform and our infrastructure as a service platform, we offer managed clusters of high performance GPUs and we're a very large partner with Nvidia. And that's really critical infrastructure for the startups that talking about. This is the development of new AI-native applications, you know, coding assistant tools, you know, managed inference solutions, video generation, image generation, you know, all
Starting point is 02:03:50 sorts of chatbots and, you know, AI applications that are sort of proliferating in the world. You know, we offer great sort of managed GPU clusters there. And then we also offer serverless AI services like our managed inference product where we're charging people on a dollar per token basis. So we can kind of charge on a dollar per KW. rent on the data center, dollar per GPU hour on the on the GPU or dollar per token on sort of the managed services. Yeah, and that's thousands of customers, tens of thousands eventually. And that's where you're going up against Azure, AWS, and Google Cloud, yeah? Correct. Those are some pretty significant competitors. How do you compete with those kind of folks? You know, I think when you
Starting point is 02:04:32 look at those really large hyperscalers, they're, you know, they're incredible platforms and they've been able to accomplish so much. But they really are the outsourced IT solution that's meant to be everything to everyone, which means, you know, their lowest common denominator is an AI. It's every reason. Yes. You have email server. You need storage. It's everything. We are relentlessly focused just on the AI use case and the AI application to deliver the most reliable, most high performance computing infrastructure directly for the AI use case and application. That's all we care about, which means all of the optimizations we're making on the high-performance networking system, the compute side, as well as the storage and how people access their data,
Starting point is 02:05:12 is entirely in service of AI use cases. There's going to be some technological advancement in the coming years that really ramps up what we're able to do in building large language models and doing inference. What do you think that will be? A lot of people have talked about optics and just the transport layer, Some people talking about the raw horsepower, other people talking about cooling. Where do you, when you talk to some of the hardware providers, where do you think we'll see the next step function in the next, let's call that the three to five year window?
Starting point is 02:05:47 Because you must be thinking about that, skating to where the puck's going, because you did that with your current company. Your current offering, I should say. Yeah. So, look, I think what's so fascinating about this space and what gets me so excited is it's actually like the culmination of like the, the, like so many different engineering disciplines. And it's like the pinnacle of human achievement across so many different engineering disciplines from the cooling systems and the chemical engineering
Starting point is 02:06:15 and the electrical systems and the physical electrical engineering that needs to go into these chips to, you know, the silicon systems and the chips and the networking and the software engineering. It's really a full-stack solution that ultimately produces intelligence. Now, get into specific challenges that we see in specific trends, we're seeing everything go to higher density configuration, so more power in the rack.
Starting point is 02:06:41 A traditional data center maybe five years ago was like 15KW, you know, 20 years ago was probably like 4KW in a rack. You know, the current generation of Blackwell chips is 130KW in the rack. The next generation, Vera Rubin, is going to be 250. And then Vera Rubin Ultra is expected to be 600. we're ultimately going to get to one megawatt racks. One megawatt to give a perspective is roughly the amount of power of a thousand homes. Yeah, it's like a small town. In a data center, right?
Starting point is 02:07:10 Yeah. So a rack will be a town. And rack will be a town. And then a couple of dozen of those will be a city. Yeah, it'll be a New York City in a data system. Crazy. And, you know, we, you know, Crusoe has over 45 gigawatts in our pipeline to, you know,
Starting point is 02:07:26 and I know you're from New York. That's about like, you know, eight to 10 New York City's worth of power. depending on how you measure it. So, you know, it's an incredible amount of energy infrastructure that's going to need to come online to help energize this layer of compute. And there's, like I said, there's challenges in every, you know, domain from cooling to networking to, you know.
Starting point is 02:07:48 Yeah, as that density arrives, this 10 to one density you're talking about, the heat also arrives, yeah. Correct. Yeah, yeah, yeah. So a lot of exciting stuff happening. And what do you think of the small modular nuclear, getting close to hydro? Yep. What do you, you know, obviously gas is the layup.
Starting point is 02:08:09 That gas. It's everywhere. We're leaders in that solar. That feels like a layup and battery, that combo to add. But hydro, I don't know if there's much left. We're actually doing a lot with hydro, you know, in the Nordics. So Norway, in Iceland. In the fjords?
Starting point is 02:08:28 We have. In Iceland, you know, there's abundant geothermal. It's like this sort of geological phenomenon, and there's ultra-low-cost geothermal energy, and also a lot of hydro there. So that's a one-two. You get the one-two punch there. Yeah. And I don't know if you guys heard, but America just acquired Iceland.
Starting point is 02:08:47 That was like the rim shot off of the Greenland. That wasn't a mistake. We're taking both. I mean, or you're giving us both. It's like Greenland-Londland. We don't ask for much. Yeah. We don't ask for much.
Starting point is 02:08:58 Okay, it's a very simple request. We have little Iceland, a little... We have data centers. You may have heard of big data, big data centers in the few words. Listen, Chase, go ahead. To your comment on small modular nuclear reactors, we are very bullish on SMRs.
Starting point is 02:09:15 Have you signed a contract yet, or are you in negotiations? Four contracts that we've signed. Wow. We're actually hoping to energize the first AI AI factory powered by an SMR in 2027. 2027, that's next year, bro. I know. And one of the ways we've been able to do this is it's actually going to be at the Idaho National Lab, where you actually are, you're outside of the regulatory domain of the NRC. It's considered experimental technology.
Starting point is 02:09:42 Oh, yes. Who's the partner on that? I don't think we've made it public yet. You know, it's okay. They're going to make some news here, the journalists here. No, I know because I was told this exact same insight by the company that's doing it, but I won't say the name of it. Yeah. Yes. Well, I think we can announce it. Okay. We should announce it. The partner is Allo. Yes.
Starting point is 02:10:02 Energy. So they're an incredible partner. Isn't it amazing that for solar, it was something we haven't been able to do since the 70s? And now it's like, yeah, we're going to do solar. It's absolutely necessary, so we're going to do it. Yep. What do you attribute that to? You know, I think there's this like human ingenuity and sort of the past,
Starting point is 02:10:25 of time and sort of the relentless pursuit of efficiencies. Like, I just think, yeah, it's really incredible if you look at the cost curve of solar, just how much it's come down over the course of time. I think you're going to see a similar thing play out in SMRs. Next gen geothermal. Like, we're really excited about, like, innovations like Fervo's made in terms of, like, being able to produce geothermal at scale at a very competitive price point, leveraging a lot of the technology from fracking in oil and gas.
Starting point is 02:10:52 And we're not going to have this impact consumers, electrical bills. Yeah, I think that's such an interesting story. When we look at this problem, we say, look, a lot of the power on the grid is very saturated. A lot of the data center capacity is saturated. So it just makes sense for the technology industry that wants to bring online all of this new infrastructure to also bring online the power to, you know, that goes with it. And the incredible opportunity from my perspective is that when we bring on new power generation
Starting point is 02:11:24 to support an AI data center, we're sizing it to the peak demand of the data center, which means, you know, and we're only using peak demand called like 0.1% of the time. So you might have some excess. We have 10.9.9% of the time. Yeah. We have excess power that can be, that can support the local community, that can create an abundance of energy that drives down the overall cost for rate payers in the local communities. People will have lower cost power.
Starting point is 02:11:47 We're going to have advanced intelligent infrastructure that's driving massive efficiency gains in the economy. It's going to be like an incredible future we're building towards. And this is something that I think the technology industry could be self-aware enough to understand if we're making this incredible new business. It's a great way to share it with other Americans. Hey, maybe your energy bill will get lower or eventually free. Absolutely.
Starting point is 02:12:13 And you're already seeing this trend unfold. I mean, we've taken this energy-first approach. You saw Google recently make the acquisition of Intersect Power. You know, Sheldon and his team there, incredible group of energy. developers. And they're doing that because they know they need to build the energy infrastructure that's going to support their compute needs in the future. Yeah. Well, really appreciate you taking the time, Chase, and continued success. And what an amazing story, man. You really got there early. And one of two things can happen when you get there early. You can just fail fabulously or you can
Starting point is 02:12:46 just absolutely crush it. And it's been the latter for you. But there might have been some moments where you stared at the ceiling at night as an entrepreneur and said, are we too early? It's mostly been up up into the right. Yeah. No real. No, I'm just kidding. Yeah, there's been, you know, tons of complex problems and challenges and, you know, moments of doubt throughout the company's lifetime. But, you know, I wouldn't have wanted to do anything else with my life. It's nice to move from will the customers arrive to, okay, we've got too many customers. We really need to deliver. Yeah. It's actually, it's a whole organization. organizational mindset of like, will the customers ever show up in this fear to, oh my God,
Starting point is 02:13:26 I hope my customers are happy and delighted. Totally. But scaling people, scaling culture, scaling technology, it has its own set of challenges and problems. The culture part is important. It's difficult. Yeah, yeah. It's difficult to go from a small startup of, you know, tens of people to, you know, more
Starting point is 02:13:43 than a thousand people. And adding, what are you adding? A thousand a year? We're going to add 2,400 people this year. full-time employees and then tens of thousands of contractors. Yeah. I've seen that movie before. I watched it with Uber and Robin Hood as they were adding one person a day. Then it was five new people.
Starting point is 02:14:03 And then now you've just got training and recruitment and just trying to keep that culture tight and make sure you hire the right people. Listen, you have to go and we're way over time. I appreciate you taking time to being so pan. I appreciate it. All right. Give it up for Chase. Thanks, yes. Thank you.

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