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Bitcoin Survives Biggest Crypto Hack In History?! | Jordi Visser

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Bitcoin Survives Biggest Crypto Hack In History?! | Jordi Visser

The recent Binance hack and rising AI cybersecurity threats highlight growing risks in the crypto and tech sectors, yet the market response—particularly Bitcoin’s limited downside—shows resilience. Instead of panic, these events signal a maturation of digital finance, with institutional involvement, such as banks and major tech firms, increasing trust and adoption. Companies like Eli Lilly, Microsoft, and Anthropic are demonstrating powerful growth driven by real-world AI applications, including healthcare innovation and productivity gains. While AI-driven volatility and rising interest rates have created market turbulence, underlying fundamentals—such as revenue growth, profit expansion, and strong earnings—remain robust. The narrative has shifted from fear of a bubble to confidence in long-term structural change. AI tools like Grokbot are now being used for practical applications, from genealogy to content creation, underscoring their everyday value. Although markets remain volatile, the data suggests that downturns are often temporary, and true opportunities arise when fundamentals strengthen and valuations cool. Investors are advised to focus on core business performance, not just hype, and to leverage automation and AI tools for better decision-making. The shift toward AI integration is not a speculative bubble but a fundamental transformation of how businesses operate and how value is created.

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You don't think BlackRock is spending a lot of time on quantum, and a lot of time on these particular things, of course they are. I heard that this week at a lunch where someone had talked to BlackRock, and what are they going to do in the event that you've got these quantum companies doing conferences, and they're saying, "Yeah, we're going to be able to break into Bitcoin by 2028." They're publicly out there saying that now. What's going on, guys? We had a great conversation with Jordi Vista this week. In this conversation, we talked about the Binance hack and its impact on Bitcoin. We talked about AI and cybersecurity. We go through the Anthropic S1. We talk about Eli Lilly hitting a brand new all-time high. What's going on with Meta, Microsoft, SpaceX, and many other companies, and then Jordi walks us through. What is he looking forward to into the end of the year? How is he thinking about the macro factors like interest rates, oil, and other, and how it's impacting his portfolio? And then we even talk about at the end, some of the use cases of AI that we discovered this week, and how we're putting this technology to work, and how it may change your life or your portfolio. Here's my latest conversation with Jordi Vista. All right, Jordi. Happy Halloween. I thought you were going to come in here and a costume dressed as Eli Lilly himself, you know? You just came in as a smart, intelligent, economist/manager of capital. I appreciate you being here. Here to spread joy. Amazing. Binance got hacked for $6 billion. Let's get right into the really serious stuff. The rumors are that North Korea could be involved. I'm sure that AI cybersecurity concerns are going to be jacked up. Bitcoin sold off about 5% or so, and Binance is saying that they are going to backstop all losses by users on the platform. What's your general take away from a situation like this? This is, unfortunately, this is the story I've heard multiple times, not of this size. But the amount of hacking that are going on from AI, and this is the reality of the world we're going to live in with artificial intelligence for a long, long time. I have friends that have told me about their businesses being hacked where they've had to reboot the business, where it's not just coins, and again, I'm speaking specifically in crypto, but I remember when I did Freedom Tech last month, and when I was originally talking to some of the people there, this has been going on. I would say really since the June period where we've been having problems, you've seen it with companies too, I mean, I think Revolut had something go on in a parallel company. Yesterday, you've had healthcare companies that have gone through this, so rather than focus this on kind of its crypto related, when you go through the story of what happened and you read it, again, humans are exposed to artificial intelligence into agents cracking into things. So, if this was, as I've seen reported, going through an engineer's laptop, and then kind of going from there, we're just at this point where the attacks are on, and the one thing about crypto that makes it easier than a bank from the application side is that obviously you get in, and then the money's just, it's moving. I think the more interesting story with this will be how much got frozen, how much they find, how much law enforcement gets involved, what the story is there. But at the end of the day, I don't see this as anything more than another fear factor that starts with AI agents, but most of the things that I've heard from people in the last month are fears on quantum. And so, I think when people kind of get into Binance and what's going to happen with quantum, it obviously is going to force people to take some risk off in the space for a period of time until we get the next catalyst on the upside. Now, it is definitely spooky season. I have my Halloween sweater here, dad tags, anyone knows. Kids are very proud of it. They're going to learn something this weekend. But the reason why I call it spooky season is because people are definitely worried about this stuff, right, and the cyber security. Now, I want to talk about this from two different angles. The first is, if this had happened 10 years ago in the crypto industry, Bitcoin would have sold off 20 to 40 percent, in my opinion. But sold off 5 percent, that actually seems in a weird way bullish that you could have a $6 billion hack. I saw somebody describe it online as the greatest robbery in human history. When has 6 billion dollars ever been stolen before? And so that is the magnitude of this is almost like washed away. We forget how much money 6 billion dollars is. Bitcoin only sold off 5 percent. That seems bullish. The second piece of it, though, is Binance steps in and says we are going to backstop any losses to users, so you immediately reinstall confidence in the platform. And in a weird way, it's a great marketing campaign because people start saying, hey, this is why I want to use Binance. It's because if there's ever an issue, they're going to backstop this. But they're not going to have to cover $6 billion because the stablecoin providers almost immediately froze a ton of funds. There's multiple billions of dollars they got frozen by Tether, Circle, World Liberty, Financial, etc. And so in a weird way, the hardcore crypto ethos of these bearer assets that you control, that no one could take from you or do anything, it's changing. When a hack used to happen, it was kind of like, hey, you got hacked or you didn't. In a pursuit of this safety net and instilling confidence, we're giving up a little bit of the crypto hardcore ethos, which means like the ETFs, do they become more popular? What are the ramifications of maybe the crypto hardcore becoming a little less or a little more soft and now these backstuffs being in place? So I'm going to go, I'm going to take what you said, but I'm going to take it a little bit of a different direction. So when you make a joke or this is bullish, the reaction is there. So let's put two things in the context, number one, we had Google down 13%, Google, much bigger than Bitcoin, not as much bigger, but it is bigger. I only bring that up because when you can have Intel down 25%, when you can have Google down 13, 14%, and especially Google, multi-trillion dollar company, I think the move in Bitcoin when you normalize it for what's happening in the biggest assets in the world. Let's go to the flip side. I mean, Eli Lilly's up 10% in two days, that's a trillion dollar company. So I think people are just going to have to get used to the fact that the reason that Bitcoin isn't moving as much as it did before is because volatility is just much lower and it's been lower than AI names all year. But let's go back to the general thing. I can remember in 1999 coming back from Brazil, this may sound funny to people, but the NASDAQ had all kinds of issues that we're going on. And the NASDAQ was very similar to the crypto market, the electronic trading side. I mean, there was the NASDAQ and the New York Stock Exchange. Now they're both electronic, but back then it was a very different world and there were all kinds of issues that would happen on the NASDAQ because it was this new system. It was electronic. If a lot of orders came in on a day, it would break the system. There were a whole bunch of things that came out. I kind of equate this the same way for one element. We need things to happen for the system to be more trusted. My main thing now is the banks are involved with crypto. Like they're not turning around. They're involved in tokenization. They're involved in supporting Bitcoin. It was a very different world during the hackings when Jamie Dimon was saying this was garbage and you'd never be involved. They all have skin in the game now. They're promoting it to their customers. That means that they care about the security and they care to know what happened. That's the way that in the long term, issues like this become bullish because there has to be a plan in place to deal with these types of things and make it clear. When you mention the ETFs, you don't think BlackRock is spending a lot of time on quantum and a lot of time on these particular things. Of course, they are. I heard that this week at a lunch where someone had talked to BlackRock and what are they going to do in the event that you've got these quantum companies doing conferences and they're saying, yeah, we're going to be able to break into Bitcoin by 2028. They're publicly out there saying that now I know they want to raise capital because they need a lot of capital to get to the hardware necessary to do that. But regardless, I think this speeds up people thinking about it. If there's been one negative within side, I think crypto and let's say Bitcoin in the last four years probably was more about recovery from what happened in 2021-2022. Not a lot of focus on how do we deal with the security issues going forward from quantum and AI. I think issues like this actually speed up the need for it. I think the fact that the banks are involved and you've got people with skin in the game that actually have, they have fiduciary responsibilities is a big difference between JP Morgan and Binance, when they're both involved in the same area and they're kind of promoting it. investment standpoint, I think everyone has to come together. So I'm gonna take the side that this is just a normal maturation process of a new technology that's going through the headaches and that these things can't happen. So we're gonna have to find other ways to deal with this. If the volatility on the downside related to a hack like this is so muted, are you worried about the upside volatility in a bull market being more muted as well? No, because again, my primary thing from the bull side of this, nobody owns it. And I mean, I can say this a million times over, but aside from the subscribers you have, some of the subscribers I have, institutional people and wealthy people are just not involved in the space. And again, I've talked about this that the only time that I think the true, massive bull market occurs, number one, the technology happens and fundamentals start driving it. That's what will be next year's business. Tokenization just continues to move forward, yet a DTCC announcement this week. Tokenization is going to happen. That will lead to more fundamentals in the space. Second thing is what stripe is seeing with the agenda, commerce side is only gonna grow from here. It's not even a question. The question is how fast will it grow and when will we start seeing the numbers? And I've learned this with AI. I don't underestimate how fast this can happen if it's in a world where businesses can run it. And then competition just keeps coming from it because the deflationary pressures from these businesses that adopt it are going to be there. So I think on that front, this has been for me about innovation and technology and the combination of AI and fundamentals. And that's what I think the beginning stuff of crypto is. If we learned anything with AI over the last whatever years, you can't wait for the data to be good. We're kind of going through that with the AI trade. When the data really started being good, meaning when we started seeing the earnings, these names were already up, 500%, 1000%. And now they've gone sideways for a period of four months with all kinds of ups and downs. I think crypto is going to go through the same thing. I will say one more thing on this for people as we go through it. We had a very large rally from 59,000 in Bitcoin up to around the 87, 88 area. I think going back and testing the 200 day moving average, which is what we're going to end up doing. I'm sure and maybe even pierced below it a little bit. 73 to 74. We almost got there overnight. I don't think people should just sit there and think that okay, everything is fine. We went through the hacking. We're going to turn back up. This has been very correlated over the past month and a half to the AI trade. And whether people accept that or not, a chart of semiconductors now in Bitcoin has been one for one for the most part. The other point of this, which I brought up in a video this week, is a index of oil and tenure rates has also been correlated to it. So I think where you've been going through as I keep saying in my weekly weekend videos, there's been a horrible trading environment from anyone who's trying to sustain moves for longer than say a month and a half. You had to make your money in a very small window this year in the first half of the year. And then since then it's been a lot of back and forth in just a lot of mud. And that's in all the major assets. I think we're still in it until we get a catalyst. There may be a catalyst next week with quarterly refunding announcement, but other than that, I think we're just kind of grinding through. Today's episode is brought to you by FitNexa. 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And I don't want to wear some bulky earbud that's pressing into my pillow or becoming the next thing that keeps me awake. Somni Pods 3 are ultra thin. So I turn onto my side and I'm not figuring out how to deal with earbuds all night long. These come with a 39 trial. So go over to FitNexa.com and use code Pomp10 to get $10 off your first order. That's FitNexa.com use code Pomp10. Let's get to the mud in one second. One other aspect that I think it's interesting. Four years ago, almost to the week was the FTX collapse. 2022 was in November. There's midterms. There's a lot of similarities. That was the final puke down to $15,000, $16,000 marked the bottom of the bear market and then we went up from there. It does feel like although most people think that we bought them, then I probably think we did as well. It's kind of like in a firefight. You know that the other guys got X number of bullets. He's got 10 bullets. He shot eight of them. He had two left. The hack was number nine. He still got one left, which is probably the midterms. And then once he fires that last bullet, you're kind of like, all right, man, you don't get anything left. I can come, you know, here we go. If that is true, then actually we are, I don't know, a week away from all of this noise, uncertainty, mud, etc. Kind of just, okay, we've set in the foundation to leg up higher. Would you buy into that thesis or are you still a little more cautious? I'm so I had not except for a small micron purchase during July or August, whatever, but during the the situational awareness situation. In the last week, week and a half, I've made purchases in AI names three or four times, three or four days, only into panic, which again, luckily we keep getting them. But the reason is because a lot of things happen this week. Last week felt like panic to me on Thursday, which is why I went in. But this week, first of all, anthropic release to S1. It was definitely better than what people feared and you could kind of read through it and get to more than 100 billion if you want to in terms of AR, assuming you make the leap that based on what they put in there, they're going to be telling you that the October numbers since Opus 5.5 went up. But regardless, that is out of the way. So people have been worried about what anthropic would be. Now we have to get through the IPO, but again, that's coming soon. Oracle had an investor day. This might be the most important news point that no one seemed to mention or care about. If you ask me when the mud started, and again, for anyone who's trading, we've been in mud since September of last year, meaning every time you go up, you come back down, every time you go up, you go back down. It's been in a grinding bull market, but a very, very difficult, painful one. You just look at the Nvidia chart. September of last year is when the capital raise effectively started. And the reason I say that is because Oracle made their highs on this massive day where they had massive RPOs, which is basically what the hyperscalers have as well, meaning we have these orders that we're going to get in the future. The reason Oracle so important, as I mentioned, is this week in their investor day, they laid out, hey, we're not going to have to raise much money between now and 2030. Now that may not mean much to people, but Oracle's raised over $60 billion since that September last year. People have questioned them. Their debt was the first one to be an issue. Their CDS started widening out, and this is when the mud started. So for everyone who's trying to find like, when is this going to end, I actually think the capital raise has been a huge part, but not the capital raise in general, because the AI capital raise is going to happen, but it's been very concentrated with basically five names. And they've come to the market for a lot of debt. Most of that debt was Q4 of last year, Q1 of this year, Q2, Q3. Q1, Q2, Q3 were actually declining in terms of going to the public markets. You still have some going on. Microsoft did some this week. SpaceX did, SpaceX did it with through the private markets, through Apollo and SPV. Very different. And there's a lot of powder there. So we've had this concentrated capital raise where I've calculated the numbers. You've done over a trillion dollars this year between equity and debt. That has been one of the mud issues. And I think that has been the major issue with the rates moving higher. So now you have 10 year rates, which have moved down this week as well. Remember how much everyone was worried about 10 year rates? Remember how much everyone was worried about breath? Equally, S&P has ripped higher. In fact, this month, people won't realize this, but as we sit here, the S&P is about flat for the month again. But I think nine of the 11 sectors are up. And as I looked yesterday, this is before this morning, but I still think it's going to be good. 350 of the S&P 500 names, 350 of 500, that 70% were up at least 2% for the month. Only 70 were down 2%. That's a 5 to 1 ratio. And that means that in a period where we were worried about breath, where we were worried about rates, rates started to come down and what happened, the names that were getting hit because rates were going higher came back down. I bring all this up because you know what's rolling off next year. And I'll show all this this weekend. You're going to get the tariff stuff, which is going to roll off. So all of the rate hikes that were part of the PCE and part of, in general, Goldman has put this out saying they expect about 100 basis point drop in PCE core next year. Purely because of the base effects, DRAM prices have already rolled over. Not an phenomenal basis, but on a year-over-year basis, the second derivative, which is what inflation has rolled over. You're going to have gas at the pump. It's going to be the exact same thing, meaning we had a huge spike in oil. We're at the same price and oil right now that we were, I think, in March. So every day that passes into March, unless we get a spike higher and crude. If crude were to go down at any point, you're going to have that flow through. The only reason I bring that up is this year has been about real rates going higher because inflation break evens and swaps have, I mean, they're effectively at two and a half percent. We have 10-year rates up close to five, which means there's 250 basis points of real 10-year yields. That has been a major drag on crypto. It's been a major drag on gold. It's been a major drag on silver. It's been a major drag, I think, on the entire AI trade. And the irony is it gets back to Oracle because the amount of debt that these guys have needed competes with the Treasury. So I'll finish this little monologue off with the quarterly refunding announcement. This is not getting a ton of press. And we'll find out about it on November 4th, so next week. There has been speculation by credible people and Citibank, also talked about this as well, that they could cancel supply. They've already done buybacks. That didn't work. If they cancel supply at the long end and move everything to the front end, it's not yield curve control, but it is certainly an admission that they don't want the long end to go higher. And regardless of whether it's because of affordability issues for housing, because you've seen 30-year mortgage rates go up 100 basis points since March. Or it's competing with AI, and we just saw Kevin Warsh talk about the fact that seems like the AI trade was moving spreads wide, and we've seen spreads wide. And so I think there may be this effort to really try to bring long-term yields down and continue to do it. And if we were to see a reaction for a day, we're already below the 50-day moving average for the first time in a while in 10-year yields, that could be the catalyst right there. And you'd have all those events going on. So I'm getting more positive because I'm looking through this and thinking the holiday season's about to take over. I'm not worried about a bubble. So I'm believing that over the next six months, even if it's mud, you're getting good entry points right here. It always strikes me as when people have clinical bubble concerns, when things start to trade down, they think that means that the bubble is bursting. It's going to zero. It's going to be a 50% drawdown. But actually, what you want to see is you want to see fundamentals like revenue, profits, EPS, et cetera, all increasing and positive, beating expectations, which we're seeing. At the same time that you want to see valuations cooling off, which is kind of this cool off during a bull market, that's actually when you should be most excited, right? Because the fundamentals should provide some sort of floor where that cooled off valuation to your point is like an entry price that is more attractive than if you didn't have the cooling off period, but the business themselves. I mean, SpaceX's revenue, they reported 160% year-over-year growth in their revenue. That is just mind-boggling. We are talking about Microsoft. They have 60,000 people that they have basically said, do you want to take a buy-out of your contract? My guess is that 60,000 number is not a number. They just like lick their finger and stuck in the air and cable with 60,000. It probably correlates to some sort of investment they're making around AI infrastructure something, and they're offsetting. If we make these investments, but we have these 60,000 people, AI can make up the gap from a productivity standpoint, and we're going to be closer to kind of a neutral impact to our financials. And then you look at Anthropics S1, Exploding Growth. I mean, we could go through, I have a ton of these that we could go through. And you sit there and you say, what are people worried about? The fundamentals are telling you, this is one of the greatest, you know, kind of economic booms for capitalist society, probably in human history. And people are literally talking about bubbles. So first of all, X has a huge part of this. As someone who looks for news stories to cover, there is no middle rational line. Like in my head, I have no problem being bearish on things. If I see something, I mean, I talked about the AM mid cycle slowed, and if we go back and pull all of the things that I was talking about in March and April, but also in, I want to say a year ago today, I was talking about how tech is going to have issues outside of the AI trade. And we've gone through that Salesforce.com is still down for the year. Now is down big. The soft, the true sass names have had a bad year, the hyperscalers. I mean, as of yesterday, this is before what will happen today with Amazon. The four equal weight or the four hyperscalers, it was flat for the year as a group. One of them was up 9% Microsoft. I do want to expand on the Microsoft thing, because I think it's important for people to hear this, because this is a very important story, which I won't get into it. I've talked about this a couple times in interviews recently. The Microsoft news does not get enough press. 60,000 people is 27% of their employees. 27%. Now. Is that a lot? Well, to put, to put it in perspective, I mean, when you have 223,000 people and you're saying, okay, 60,000, you can take a buyout. Now, they obviously don't expect all of them to do it. They did this once before, but they did it with 8,000, 60,000 is a big number. And what do you think those 60,000 people that have been offered the buyout? Are they like feel secure in their job going forward? Or was this a message that this is our hope? Now you said, are they using this for my, I mean, I've run a business. I know what micro, like you can go through their compensation. So let's assume it's $400,000 a person when you add in healthcare at Microsoft. That's $24 billion. Not $24 billion for one year. That's every year going forward, unless they go higher and more people. That number, if they all took it, would take them back to 2020 levels. The revenue has grown, will have grown 70% if they just meet numbers into next year. So revenue per employees gone through the roof. So this has a lot of issues to the government. And this is why it's positive Bitcoin, this is why I wrote a sub stack about this whole thing, comparing what Microsoft was doing to what was happening in France, where the common thread is going to be affordability. Because on the one side, what do employees making $400,000 have to pay in taxes? 50% 50 plus, depending on where they live, what does Microsoft pay on corporate taxes? There's an arbitrage here that's becoming a bigger story to the government because if Microsoft doesn't have to pay the same amount, you're losing receipts from this if people don't get jobs or if they end up taking less of a job, whatever the case is, I think this is becoming a labor versus capital story that is much, much bigger than people realize. Because we're just entering the productivity boom. That's the other message that Microsoft is saying is they believe they can do this by out at five to six or six to seven times the last one. What is that saying about their expectations about what AI is going to enable their business to be like in the future? Listen, I can talk about this from a personal perspective because we just went through this with our own public company. We have done two things, the massive cost cutting exercise, compute cost down substantially. Compute cost literally, I've talked about publicly, $550,000 in March of 2026 per month. Down now, 50% give or take, my hope is hope that we're actually going to be able to get completely off the frontier models, run everything on our own software and models and hardware. If we do that, 97% cost savings on a token for token processing, massive cost savings, going to all of our key vendors, finance, accounting, legal et cetera, hey, we got to do something here. I know you guys are using the technology, so are we, let's reorient here. We mutually separated with some of our executives, cost savings there as well. So you take basically the most well-paid people at the company and you're like, hey, can we do this for cheaper? Look at that. What we publicly said is we think we're going to save $10 million between cash equity, et cetera in this exercise, okay. But that's actually, to me, what people will pay attention to is because it's like a headline. The more important thing is we have a public company, there's 10 people there. I'm not claiming we're Facebook, I'm not claiming we're whatever. But if you go and you look at the product, this week, there's five days in the work week. We launched five separate products or features. On every single day, and these are features that aren't like, hey, let me just put a prompt in Claude or something, and you just get it. You're going to be very thoughtful about it. You're dealing with people since the financial information, et cetera. But I explain to people, think about what that means. If we're launching something every single day and we only have 10 total people, including the non-technical people at the company, when you extrapolate that out to a meta, an Amazon, right now actually SpaceX. If you look at the updates to Grockbot, they're releasing something like 50 to 100 new features a week. It's just your cutting cost while that productivity is just exploding. I don't know what this looks like in two, three years, but like you start getting pretty excited about just how productive any of these companies can be, right? Yeah. And so let's bring it back to Anthropic because I think the most important news item that came through this is that Anthropic announced in the S1 that they're dealing with basically 250 of the Fortune 500 companies, so 250 of the S&P 500. But in terms of their total expenses, which again are dominated by compensation, of the Anthropic portion is point less than 1%. I think people have to fully grasp that if this company has this kind of momentum and they can give you insight into the adoption right now of AI, and also for everyone that thinks that they're going to be able to go build data centers and do all the stuff, which I'm hearing more and more on other podcasts, I'm like, where are they getting the memory from to go build their own data center? I mean, guys, come on, like if the banks want to go build their own data centers, that's all well and good. But if you can't get the memory, you can't do, you can buy as many GPs as you want, you can go through this. But if you can't get the memory, where is this going to go? So I just think for, as you go through the Anthropic thing and you look at it, where people talk about a bubble, they're talking about a bubble for the reasons that you said, Oh, look, the AI trade is 20% off its ice. Some of the names are 40% off their ice, whatever the case is, even though they're up 150% year to date, that doesn't matter. Spreads are widening. This is going on. Triple Cs are up at 16%. None of this is going away. This is the one thing I will say is, as much as I believe yields are probably peak now at the long end, do I think we're going down to 3% in 10 year yields anytime soon? No. And the main reason is because the capital needs are going to be massive. And that means we're going to have debt and the government has a lot of debt. And so the issuance alone will keep it in. Do I think that best it knows this and wants to control the back end? And this is one of the reasons why if you were waiting for yield curve control, if you're waiting for QE, we're not getting QE the way that we used to in the past. It's coming in a different form and that form to me is starting to happen because the labor versus capital debate means a lot of voters because you know how many votes Microsoft gets. Let's assume Microsoft has a lobbyist. And they're going to Washington saying, blah, blah, blah. Those 60,000 people have a vote and if affordability remains this issue, as it is across the globe, I just think part of the story for a new system, part of the story for how we're going to deal with this. And that's why I always say Bitcoin is the purest AI trade. I believe that AI is only going to intensify the downside going forward. And if people are waiting for some bull market where it just goes up in a straight fashion every single month, I don't think you're going to get that because of the things that we're talking about. Today's episode is brought to you by Abra. Bitcoin holders know the long game, but sometimes you want liquidity today or a way to pursue more Bitcoin over time. 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Today's episode is brought to you by Arch Public. Arch Public has just expanded its agentic trading platform beyond crypto, so pay attention this is a big one. Now they are automating strategies across stocks, commodities and ETFs, and I think this is going to be huge. You can now automatically take profits when one market hits new all-time highs and rotate that capital into other markets, showing more opportunity. Whether you're rotating capital into AI stocks, gold, if you're investing in the S&P 500 or you're accumulating Bitcoin, Arch Public brings real discipline and automation to your investment strategy. Additionally, they've launched a powerful new tax loss harvesting tool. With crypto being so volatile and its exemption from the wash sale rule, Arch Public can offset gains with losses without compromising your long-term positions. It's exactly what every serious investor does, institutional grade automation that works across every major asset class. There's no more emotional trading, no more missing tax opportunities, just smarter, hands-free execution of your preferred strategies. Go to archpublic.com right now, connect with their team, set up a time, bring your account if you'd like. Then you can learn what automated trading can do for you, archpublic.com. So in the private market, instinct went from 500 million to 2 billion to 10 billion. Now it's rumored they're raising money at 30 billion. Cognition and ramp are both 40 plus billion. Rumors coming may even be 60, 70 billion in coming. When you see these valuations in the private market, I always go to, there's no way they're making enough money, like an instinct as maybe the example. They're not making money in the sense of, hey, it's worth 30 billion. But the growth has to be off the charts. There was an interview that the instinct founder did a couple of weeks ago, Petra O'Shaunasey talked about that he was growing 10% every day. Yeah. Right. He's like, how do you buy compute? Yeah. If you double your compute in a week, you're out. Right. Right. Right. So when you think about these valuations in a weird way, the public market valuations are actually incredibly rational compared to the private market valuations. Then you take a step back and you say to yourself, okay. I know all of the macro factors that play into this oil, the industries, all the stuff that's happening. I go back to, there are more people who spend money on sports gambling in America than spend money on AI right now. You talk about Bitcoin isn't that well adopted among wealthy people and institutions, etc. We are in an echo chamber of acts of everyone's using AI, I see people creating cities for their rock bots to run around and do all this cool stuff. I don't know, man. If you watch the local news, they're yelling about data centers, but they're not using this stuff. I heard last night I was at a dinner and somebody said that a young person joined their marketing department and they were complaining that everyone was using AI. They felt like it was in school, they're being told, don't use this stuff. How do you square that with like, if only one, two percent adopted, there's 98 percent of people left to go. I'm not sure that until the, until Muse is around for a long time, there's two issues with AI that I think are very different than say Google search. One is the trust factor. I finally got the chance to meet William Guillard yesterday and his whole book is on this concept of trust as an asset. He wants to come see you again as a senior all the time. He can come sit in there and see whatever he wants. Okay, you hear that, William? I knew this guy. He's already asking me to hit live on the podcast. I'm a live agent now. I'm a big fan of William, but I'm a big fan of his concept of this issue with trust. I think obviously people in crypto understand this part of trust. Now we have a hacking and finance, so trust goes back down. But individuals don't trust AI either and they're not going to put their information in Muse, especially when you have hacking. Hackings equal, I don't want to trust anything. Hackings are going up constantly. I think that means adoption is going to be very slow for individuals. I don't think they're ever going to pay for it ever. I think they're used to having free things and I think you can use the best AI models. I mean, I know people now in my life that have used Grockbot to do some things I told them they could do. I didn't know you could use Grockbot without paying a lot of money for a month because I already do. I don't keep up on what's free like what becomes free, but the models keep getting better and the free tier keeps getting better and better and better to where you can do all these things where it hurts is for younger people that are not embracing it, that are not using it, they are going to have trouble getting jobs. It's just a reality. There's no way that you can compete in today's workforce without being efficient. If you think the company that's hiring you, you're like, "Oh great, I found a company that isn't using AI that isn't forcing me to, that company is not going to be in business very long." And that process is going to start, in fact, I'll go back to the Triple C. Triple C, so companies that are junky, junk, junk, their cost of borrowing is now 16%. Some of that is the rise in 10-year rates, but a lot of that is the spread widening, 16%. That's how, if you're going to borrow money, it's 16%. You need to see earnings growing at some fast pace to justify that, and I know one thing, that is a really hard bogey to beat when the S&P is only up 10% or 11% year to date. So I don't know what people are doing. All right. I joked in the beginning that your Halloween costume should be Mr. Eli Lilly himself. I don't think there's actually Eli Lilly, but all time highs, up 10% in two days, you sat in the seat a couple months ago and said that one of your big bets for the AI trade was Eli Lilly. Lily. You've talked about TuneLab. You've talked about them acquiring a lot of different companies. You've talked about them building out their own GPU, you know, kind of cluster or data center, et cetera. How are you thinking about Eli Lilly today? And has anything changed in your thesis? Have you become more bullish? First of all, the numbers are stagnant. I challenge anyone to just go into an LLM and say, "Hey, can you give me the earnings details from this quarter for Eli Lilly?" I mean, you're talking about revenue growth, revenue. So to give people an idea, like good revenue, the S&P 500 right now revenue growth is about 12%, and that's probably where we're going to finish, which is less than it was in Q2. Eli Lilly's revenue growth year over year is 40%. 24.4 billion dollars. Let me just read somebody's. These are so crazy. So Eli Lilly reported revenue of 24.4 billion dollars, up 39%. The expectation was 22.6 billion. So they outperformed expectations by two billion dollars, almost 10%. Their volume grew 53%. Prices are down 15%. Gross margin was 83%. Non-GAP EPS was $7.48 against a $6.26. So they beat non-GAP EPS by over $1. Pretty incredible. And Munjaro brought in $10 billion, which is up 65% and zip bound, brought in $5 billion, which is up 50%. And then they basically look at their 26 revenue guidance rows. They think that it's going to be 91 to 92 billion dollars, where previously they were reporting 85 to 87. So somewhere in the ballpark of $6 or $7 billion additional revenue guidance, and so they're growing at $90 billion run rate. They're still growing revenue at 40% year over year. So let me give everyone a statistician there. And again, I've said that I believe in the next five years, they will become the biggest company. Oh, I know. You've said that. So right now, they're number nine. So everyone knows. This is not some outrageous thing, and they're catching up to number eight and number seven very quickly here. Maybe we need like a science fair board. And we just every week we just move them up. Okay, where's Eli? They could be ahead of meta soon. I mean, there's it's Tesla and Meta are staring in front of them. So they're a drug company. Here's the thing I want people to think about. So in video stuck in mud, their PE is collapsed. They announced 70% revenue growth. Their PE is down at 1312. Who knows. And here's the reason why. There are two things about Eli Lilly comparing them to Nvidia that are very different. Number one, the great thing about Eli Lilly in this world of AI infrastructure trades, they are making money on the healthcare problems in the United States, where the spending is coming, is guaranteed every year. It is non-cyclical. So they've historically, because they didn't have these growth numbers for a pharmaceutical company or insane. Now, most of this is related to obesity, but the penetration that they've had. Remember, this has been an injectable. Now they're moving to an oral. They have about 10% of people from what I saw and think diagnosed with obesity in the US. They've only penetrated 10% at this point, which means they still have a lot of room, especially with pills. The prices are going down. Their volumes are going faster than their price decline. You love to see that. I think they've called that Jeffens paradox. I don't really know, but as the price goes lower and more coverage happens, go globally. This is that was just the US numbers, but globally, they are less than I think 3%. I think it's 2% of the global. So they still have more money from that. That's where most of the growth is coming from. But when you go through the other areas like dementia, oncology, immunology, they've got significant revenue growth there. And what people have to understand is it's one thing to be dealing with just obesity in diabetes. It's another thing to have this growth area that is also there from all of the drug discovery that they're spending time on. That stuff is going to be down the road. I love having call options. If they come up with some cure on something, what happened to Moderna when they came through with something that's still up for debate? You get this massive rise because they start building in the numbers. So you have the non-cyclicality, which means it's a diversification on the other things. I'm sitting here. I say, "Okay, my biggest position was more of L." Well, then it just fell 20%. My biggest position is now Eli Lilly because it went up 10%. Regardless, Eli Lilly has been unbelievable. And all of this is happening as it's about the post. It's 10th positive year in a row. And this one would be another 30%. So it's been compounding in this very steady fashion on the back of the diabetes situation. But they've got a lot more call options within side of their numbers. Is it fair to say that your thesis on Eli Lilly is one foot in the old world, one foot in the new world? What I mean by that is you're basically saying Eli Lilly is one of the best ways to profit off of the US government's lack of spending discipline because they are going to spend money. And a significant portion, 20%, 30%, whatever it is, goes to healthcare of which Eli Lilly is a very big component. Money ends up in their pocket for that. At the same time, all of the AI stuff, quote unquote, "the new world." Eli Lilly is leaning very hard into that. And they're able to drop prices, accelerate growth, use M&A, rate all those things. Eli Lilly may be one of the most interesting businesses, I think I hear you're saying, where they're benefiting from these long-term, kind of traditional trends of healthcare and aging population and obesity. But they're also almost disrupting themselves, two degree, with all the AI stuff. And you put those together and it's like one plus one equals five. And that's why you're bullish. This has to do with if they didn't have Manjuro and the whole ozemic cash cow business, like you like to see a business that like when if you go through Apple, people have to remember like before the iPhone, yeah, they were turning the business, I mean Steve Jobs had turned it around, but how much did the iPhone change everything? And look at their hardware numbers to go from what it was to what it is today. When you get a cash cow, you can get into other things like services and they've turned themselves into a service business. For Eli Lilly, this cash cow side is enormous. All pharmaceuticals do not have this cash cow. And this cash cow is growing every single year right now. What are they doing with the cash? I made the joke, but Nova Nordisk had the same thing. And they used the cash to go pay dividends, and this is, I mean, this was a they didn't want to make a bet. Eli Lilly has made significant AI bets. If I try to describe to people the importance of tune lap, the importance of the data center that they did for themselves, the setting up a location outside Stanford out in Silicon Valley to basically work with Nvidia. When you see Nvidia and the CEO Dave Rick on stage together and you listen, I mean, I spent a lot of time to just hear the plan, make sure that this was smart, but if you have all that cash, I have believed for the last three years that unfinished IP was incredibly valuable. And what I mean by that is when a biotech company goes public, which was a massive part of, I mean, the COVID years and even before that when they would go public, you have to have science behind that to raise the money that was necessary. So it's not like these were hair brain schemes or scams that would eventually go, these were IP. Now maybe they weren't able to finish them. But if all of a sudden they're getting closer and closer and Eli Lilly goes, okay, well, we'll we'll buy you guys. And they're doing these M&A's to buy these IPs that they think are worthwhile. Now, when you add in the benefits that came from Ozempic, they don't know why dementia is better. They don't know why, you know, the chronic inflammation, why all of a sudden people have less knee pains, why addiction went down. There's a lot of science in this that Eli Lilly has data from all of these millions of people and what they've gone through coming out that should help them from the data collection. So when you go through everything and you really think what this is, I think this is a very unique part of AI. So when I say this will be the biggest AI company compared to Nvidia, there is a risk of an overbuilt. You have to build that in. This is a cyclical thing. And I do think at some point, we're seeing that with Intel today. Why is Intel down so much? It's not because the demand's not there. Their PC sales are suffering. Why is that? Because memory cost have gone higher and you can't even get the memory. The bottleneck issue keeps these companies from actually being able to accelerate as much as they would. And so that's why you see these multiples compressing. For Eli Lilly, I don't, they don't have this issue. They don't have to worry about this. This is a very different thing. So this gets into the application is the major story here. Because of the AI and cybersecurity concerns, do you have any cybersecurity stocks that you are buying or interested in? So I do not spend a ton of time on single companies within the space. If I wanted to say the only software company that I own is Palantir. And Palantir is becoming a much bigger position for me relative to the semi-names, because Palantir's outperforms so much. I've talked about Palantir in here, but this got into the sovereign AI thing. And if you go back from the day that Alex Carp spoke about the importance of sovereignty, AI sovereignty, and you go look at what Palantir has done since that day, you made a lot of money if you went out and bought Palantir. So that is kind of my theme on this. These names trade at such high multiples, and that means I really have to drill down and I have to get a sense. I think all the demand side is gonna be there. But if you ask me, do I believe that a lot of that demand is already built into the stock there is no doubt that those names could go sideways for a year and a half just like we've seen in the semi conductor names for the last four months while the earnings have grown, it can just be stuck in the mud. - All right, before I let you go, I want you to think of, is there anything that you do with AI this week that is a little tip for everybody? While you're thinking, I'm gonna tell them one that I figured out. I used Grockbot and I set up a bot genealogist and I basically set then maybe 15 minutes telling it, hey, here's my parents' names, my grandparents' names, here's family lore. I think that there's somebody named this, that did this, blah, blah, blah, blah. Go find as far back in my family lineage as possible. And I knew some detail, look, I knew the town that my great-grandfather comes from in Italy. I know this or that. But actually, you'd be surprised some stuff I don't know, right? This thing was incredible. Marriage certificates, birth certificates, voter rolls, all the public stuff that you almost expected to be able to do. It started to identify where certain records were. So my family, one part of my family comes from a place called Sumona, Italy, which is, I don't know if you've ever seen like a confetti candy, you know, like, all right, that's where it was in fact. That's the only thing that the town has known for. But the records only go to like 1865 or something on the internet. Past that, it is all written in books and stuff. It was crafting emails in Italian to email to the people in this town saying, can you go into the books and get this information? I said, dude, this thing is incredible. I would pay any amount of money for this tool. And then when you focus it on genealogy, I was like, you could do this for anything. So my one thing is if you're interested in your family's lineage, your genealogy, don't worry about all these websites. Just hook up a crock bot, tell it, you're a genealogist, go. And just tell as much information as you can. And it's a nice little weekend activity. Your turn. Only thing I'll add that was new this week. And this actually was from a direct thing that Matt said, your producer, the boss. Yeah, so I started to, I have a lot of people that want shorter versions of my video. They wanted me to do YouTube shorts. They wanted me to do other types of videos. My family did as well. So I literally took my video from the weekend and asked it to create shorts. I also uploaded a bunch of old videos that I had done in my sun skiing and had it create a new video with all the little clips as one thing. The video editing, incredible. It's incredible because I didn't have to do anything. I literally just uploaded the first videos that can you find the most interesting clips. I want to do these as YouTube shorts for the YouTube channel. That's the way it started. And that was from the suggestion of Matt. And it did it in a matter of minutes, like it was maybe six or seven minutes. I couldn't believe how good the selections were. But with my other videos and doing it from like family related things, this is where it became more interesting to me because the creativity that it has with, hey, here are six videos. Why don't you put these together in a way that makes it more interesting if you want to put some music into it. Like anything along those lines, you'd be shocked at the ability to do it. What did you use to do it? Wish me a lot for them. No, this is Grockbot. Grockbot, yeah. That's what I mean is that historically to do video editing, there were AI tools, but it was kind of a still a little bit of a hassle. With Grockbot, it was shocking how fast it was. All right, I actually lied. I have one other one that the team will get mad. It's not as AI specific, but I do think this is very important. This week with Sylvia, we launched something called Sylvia Legacy. And if you watch this podcast, I have had this conversation with a ton of friends that are married in the last three or four months as we've been thinking through this. Sit down with your loved one, spouse, friend, child, whatever, and say, if something unfortunate happened to me, do you know where our assets are and could you actually get access to them? Some people, yes. Some couples or families, there is an awareness across multiple people. Most that is not true. Usually somebody is responsible for the spending, somebody is responsible for the investment assets. What we built is when you hook up all of your accounts into Sylvia, you go to Sylvia.com, you touch your bank account, brokerage, crypto account, etc. You can now pick an individual up to three of them and say, if I do not log back into Sylvia for some period of time, I want you to notify me. And so what I did is I chose my wife as my Sylvia Legacy person. I said, after 60 days, if I don't log in, I want you to send me an email and a text message. Send one the first week. If I don't respond, send me another one the next week. Send me another one the third week. If I do not respond or engage in any of those for three weeks straight, I want you to wait at 7 or 14 days. And then I want you to take all of the information in Sylvia's, all my accounts, my assets, where they are, et cetera. And I want you to deliver what we call financial package to her. So I'm in control of who's the recipient, what information she gets, et cetera. But then I had to make a decision. Do I include, so Sylvia, I should choose just the assets or do I include the chat history? 'Cause we thought the fine control, so we will think the chat history is very personal. For me, I chose, I said include the chat history. Now, part of it is I think she would be entertained by reading me talking to Anel. But two was, that's really where the why is. What was I thinking when I bought this? What was I thinking about, you know, tax before, whatever. And so one, I genuinely believe that multiple people in a family loved ones et cetera, knowing that they will get access at some point if somebody passes away or whatever is important. But two is, it started me thinking about the chat history has become this weird asset. It's kind of like families have scrapbooks, you know, all these different like family based things. I talked to just about the genealogy bot, right? You're talking about the video editing. Like, what happens to all of your videos and all of your knowledge? How do you get that to loved ones? Chat history, not just of, you know, something like Sylvia wears very attributable to the assets, but then like, well, what about me talking a rock bot about the business? Should somebody get access to that stuff, so they could hopefully, you know, transition the business or whatever? It's just a fascinating time that we're living through that, right? - It is, and this is the point about when you get back to how few people are using the technology. I don't know what to say to people. It's just about how powerful it is. You're gonna get over the privacy issues at some point. - 100%. - The amount of times that if people want to commit to, I don't know why, and this is the number one reason, you mentioned all these things. I still believe, not believe. Muse is the most powerful for a lot of the things you're describing, and the reason is because meta has spent an enormous amount on their model related to memory. Chat GPT and rock bot. None of the, well, rock bot is similar. The memory side of Muse is unbelievable. So when I do my recipes, when I do anything, if I'm measuring my health for a month, and I go, you know what, I just wanna make sure that at the end, the number is that I'm seeing an ordering and my eye watch matchup. So I'm gonna start telling you every meal what I've had. So if someone's trying to lose weight, and they're like, okay, you gotta count your calories, it's much easier to say, hey, Muse, this is what I just had for breakfast, and that's it. Hey, this is what I just had for lunch. Anytime you eat something, you put it in there, and then you don't have to tell it, okay, sum this up for the day. It just has that record forever, and then you say, all right, can you go back and give me all of the days of the month and give me the calories for each month? So I can see if I'm not losing weight because of my exercise or because of my eating, and as long as you're honest with it, and you're doing it as you go, literally like a walkie talkie, which takes two seconds, it's great. If you are someone who's scrapbooks, or you do something where you're keeping a daily journal, you can take a photo of it, upload it to Muse, and then it has everything forever, and it never forgets it. And I just think that that's gonna become a part of our lives, and it will be Alexa at some point as well, where you can just do it verbally, and it's either on your phone or it's verbal. It just doesn't matter. - We should do an episode, maybe towards the end of the year, and bring all of the unique use cases that we have both discovered around using this technology and explain to people how to do it. I think people will be very interested in that. - We'll do it. - All right, that's it for today. Go to YouTube, source of Jordi Visser. If you're gonna put out a video tomorrow, make sure that you subscribe. Happy Halloween to all of you. I hope that you do not eat too much candy. If your kids go trick or treating, make sure you dad tax 'em, make sure you take a little bit. Go check out Sylvia.com, sign up. Make sure you pick someone for Sylvia legacies so that they will get access and understanding of your financials when you ultimately pass away, 'cause time does not escape us all. Marcus, really, it's all the way to us. We all understand that. See you guys next week.

Podcast Summary

Key Points:

  1. The Binance $6 billion hack has sparked widespread AI and cybersecurity concerns, but Bitcoin’s minimal price drop suggests resilience, though it signals a shift in crypto’s risk model.
  2. Institutional involvement in crypto—like banks and tech giants—increases trust and shifts the narrative from pure decentralization to security and regulation.
  3. AI-driven innovation is accelerating across industries, with companies like Eli Lilly, Microsoft, and Anthropic showing strong growth, driven by real-world applications and data.
  4. Despite high valuations, AI and tech stocks have faced volatility due to rising interest rates and capital deployment, but fundamentals like revenue growth and profit expansion remain strong.
  5. Long-term trends, such as AI adoption, healthcare innovation, and productivity gains, suggest that AI is not a bubble but a structural economic force reshaping industries.
  6. Cybersecurity threats, especially from AI agents, are real and growing, prompting a need for stronger protocols and institutional safeguards in both finance and tech.
  7. Tools like Grokbot and Palantir are enabling new uses of AI, from genealogy research to video editing and legacy planning, demonstrating AI’s practical and personal value.
  8. Market “mud” periods are common in bull markets, but they present opportunities for disciplined, fundamental investing when valuations cool and earnings grow.

Summary:

The recent Binance hack and rising AI cybersecurity threats highlight growing risks in the crypto and tech sectors, yet the market response—particularly Bitcoin’s limited downside—shows resilience. Instead of panic, these events signal a maturation of digital finance, with institutional involvement, such as banks and major tech firms, increasing trust and adoption. Companies like Eli Lilly, Microsoft, and Anthropic are demonstrating powerful growth driven by real-world AI applications, including healthcare innovation and productivity gains.

While AI-driven volatility and rising interest rates have created market turbulence, underlying fundamentals—such as revenue growth, profit expansion, and strong earnings—remain robust. The narrative has shifted from fear of a bubble to confidence in long-term structural change. AI tools like Grokbot are now being used for practical applications, from genealogy to content creation, underscoring their everyday value.

Although markets remain volatile, the data suggests that downturns are often temporary, and true opportunities arise when fundamentals strengthen and valuations cool. Investors are advised to focus on core business performance, not just hype, and to leverage automation and AI tools for better decision-making. The shift toward AI integration is not a speculative bubble but a fundamental transformation of how businesses operate and how value is created.

FAQs

The Binance hack led to a 5% drop in Bitcoin price, but it also sparked discussions about AI-driven cyberattacks. While the incident raised security concerns, Binance's commitment to backstopping user losses has boosted platform confidence, signaling a shift in crypto's approach to risk and safety.

AI-powered cyberattacks are increasingly targeting crypto platforms and businesses, making security a top concern. These attacks highlight vulnerabilities in systems and suggest that AI-generated agents could exploit weaknesses, forcing a shift toward stronger, AI-aware cybersecurity measures.

Major financial institutions like BlackRock are investing heavily in quantum computing and crypto security, signaling increased institutional confidence. This involvement is helping legitimize crypto and reduce perceived risks, pushing ETFs into the spotlight as a more accessible investment option.

AI is driving innovation across industries, enabling automation, faster decision-making, and improved productivity. Companies like Microsoft and Eli Lilly are leveraging AI for cost reduction, revenue growth, and data-driven insights, making AI integration a key strategic factor in long-term success.

Microsoft is offering buyouts to 60,000 employees to reduce costs and boost AI-driven productivity, while Eli Lilly is using AI to accelerate drug discovery and improve healthcare outcomes. Both are integrating AI into operations and R&D, demonstrating its transformative potential in traditional industries.

Palantir is gaining attention as a leader in sovereign AI and data security, particularly in government and enterprise sectors. Its ability to manage complex data systems and ensure data sovereignty makes it a key player amid rising AI and cybersecurity concerns.

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