Jack Mallers

AI Is Changing the World. But At What Cost?

Complete 1:12:43 min youtube 2026 Week 30 Jul 20, 2026 🇬🇧 EN
Research summary

YouTube: https://www.youtube.com/watch?v=44iQ4hdTVkw  |  Duration: 72 min

◆ Part 1: AI, Geopolitics, and Value Creation

The host frames AI as a powerful force, describing it as "energy intelligence" that mirrors Bitcoin's role as "energy money." This technology is driving massive GDP growth and fundamentally shaping the new geopolitical competition between East and West.

While acknowledging the immense infrastructure buildout in both AI and Bitcoin, there is a critical question regarding whether all participants will achieve profitability due to potential capital misallocation. Geopolitically, the conflict involving Iran remains ongoing, and the Strait of Hormuz stays closed, posing significant risks to global supply chains.

Economically, the speaker asserts that profit is a moral obligation and the financial expression of creating real value for society. He strongly critiques fiat systems for enabling malinvestment by allowing money to be printed infinitely without consequence.

▶ Part 2: The AI Investment Bubble and Cost Dynamics

A major finding is that leading AI companies are currently not profitable, relying instead on continuous external financing to sustain their massive physical infrastructure buildouts. Unlike traditional software businesses, AI is a high-cost industry requiring extensive data centers and GPUs, resulting in negative margins so far.

⚠️ Critical Risk Alert: The current investment bubble in AI resembles the 2008 housing crisis due to this heavy reliance on uncollateralized debt tied to physical assets.

Competition is rapidly driving down the marginal cost of intelligence toward zero, particularly from cheaper and open-source Chinese models. This shift benefits consumers but severely exposes poor investments made in high-cost proprietary AI bets. Furthermore, the rapid development of these technologies presents a critical national security imperative.

★ Part 3: Regulatory Headwinds and Decentralization

The speaker analyzes the economic dynamic where US reliance on dollar hegemony allows Americans to export financial services, while China dominates manufacturing through cheap production. In the AI race, American progress is being severely hampered by excessive government regulation and state-level bans on data centers, allowing Chinese models to rapidly gain ground.

This regulatory environment stands in stark contrast to the success of permissionless innovation that built the internet. Major tech companies like OpenAI exhibit signs of financial instability due to massive debt and lack of profitability, suggesting a bubble risk.

The speaker critiques modern society's reliance on big government intervention, arguing that systemic problems cannot be fixed by political leaders alone. He ultimately suggests that open-source solutions and decentralized systems are necessary alternatives to current governmental overreach.

► Part 4: Misallocation, Debt Spreads, and Macro Risks

The financial health of AI companies is precarious; they are heavily indebted, and widening credit spreads indicate market skepticism about their ability to repay loans. The speaker argues that trillions of dollars have been misallocated into the current tech buildout, suggesting a massive correction or bailout is likely.

In this risky environment, Bitcoin serves as a necessary exit door, contrasting its fixed supply with speculative AI equities. Macroeconomic indicators like the strong Philly Fed manufacturing index suggest persistent inflationary pressures and rising yields. However, high global debt levels limit central banks' ability to raise rates without triggering a severe debt spiral or austerity measures.

This situation highlights fundamental risks in the current capital allocation landscape.

◆ Part 5: Economic Instability and Property Rights

The speaker discusses severe economic pressures, including potential recession fears and the inherent limits of fiat currency due to massive government debt. He suggests that AI capital may be realizing risks, especially with China acting as a competitor, which could impact traditional corporate payments.

Bitcoin is viewed as a leading indicator, signaling pain in the broader market before others feel it. A major concern raised is the undermining of property rights in various US states, citing proposals that threaten landlords and property owners.

🔑 Investment Thesis: The erosion of foundational American principles makes real estate an increasingly risky investment compared to Bitcoin. The speaker argues that Bitcoin offers the purest form of physically enforced property rights, unlike traditional assets vulnerable to political or governmental seizure. These combined factors—economic instability and threatened property rights—make a strong bullish case for Bitcoin.

◆ Search for the alpha

The core thesis visible in capital allocation is a flight from debt-fueled, politically exposed assets. The guest views the current massive buildout of proprietary AI infrastructure as a classic misallocation event—a speculative bubble built on uncollateralized debt and fiat expansion. Therefore, the actionable positioning involves rotating away from high-cost tech equities and traditional US real estate toward decentralized, fixed-supply value that is immune to governmental or political seizure.

  • Avoid highly indebted, proprietary AI companies; their reliance on continuous external financing suggests a massive correction risk similar to 2008 housing cycles.
  • De-risk from traditional US real estate due to the explicit threat of undermining property rights at the state level, which compromises foundational asset security.
  • Increase exposure to Bitcoin as the necessary "exit door" and leading indicator against systemic financial pain caused by high global debt and fiat currency limits.
  • The best expression of the theme is favoring open-source solutions and decentralized systems over centralized, heavily regulated corporate AI bets in the US market.
The twist: The guest is implicitly arguing that the greatest threat to wealth preservation is not merely economic instability, but the erosion of foundational American principles and property rights. This suggests that geopolitical risk (China vs. US) and regulatory overreach are fundamentally intertwined with financial risk in a way that traditional macro analysis often misses.

► Chapter Summaries

Part 1 (0:00)

The host discusses AI as a powerful force, viewing it as "energy intelligence" that parallels Bitcoin's role as "energy money." He argues that AI is driving massive GDP growth and shaping the new geopolitical competition between East and West. While acknowledging the immense infrastructure buildout in both AI and Bitcoin, he questions whether all participants will achieve profitability due to potential capital misallocation. Geopolitically, he confirms that the conflict involving Iran remains ongoing and the Strait of Hormuz stays closed, posing risks to global supply chains. Economically, he asserts that profit is a moral obligation and the financial expression of creating real value for society. He critiques fiat systems for enabling malinvestment by allowing money to be printed infinitely without consequence.

Part 2 (15:00)

Major AI companies are not profitable and rely on continuous external financing to sustain their massive physical infrastructure buildouts, making them highly indebted. Unlike traditional software businesses, AI is a high-cost industry requiring data centers and GPUs, resulting in negative margins so far. The current investment bubble resembles the 2008 housing crisis because of this reliance on uncollateralized debt tied to physical assets. Competition, especially from cheaper and open-source Chinese models, is rapidly driving down the marginal cost of intelligence toward zero. This shift benefits consumers but exposes poor investments in high-cost proprietary AI bets. Furthermore, the rapid development of these technologies presents a critical national security imperative.

Part 3 (30:00)

The speaker argues that US economic reliance on dollar hegemony allows Americans to export financial services while China dominates manufacturing through cheap production. In the AI race, American progress is being hampered by excessive government regulation and state-level bans on data centers, allowing Chinese models to rapidly gain ground. This regulatory environment contrasts with the success of permissionless innovation which built the internet. Furthermore, major tech companies like OpenAI exhibit signs of financial instability due to massive debt and lack of profitability, suggesting a bubble risk. The speaker critiques modern society's reliance on big government intervention, arguing that systemic problems cannot be fixed by political leaders alone. Ultimately, he suggests that open-source solutions and decentralized systems are necessary alternatives to current governmental overreach.

Part 4 (45:00)

AI companies are heavily indebted, and widening credit spreads indicate market skepticism about their ability to repay loans. The speaker argues that trillions of dollars have been misallocated into the current tech buildout, suggesting a massive correction or bailout is likely. He posits that Bitcoin serves as a necessary exit door from this risky environment, contrasting its fixed supply with speculative AI equities. Macroeconomic indicators like the strong Philly Fed manufacturing index suggest persistent inflationary pressures and rising yields. However, high global debt levels limit central banks' ability to raise rates without triggering a severe debt spiral or austerity measures. This situation highlights fundamental risks in the current capital allocation landscape.

Part 5 (60:00)

The speaker discusses severe economic pressures, including potential recession fears and the limits of fiat currency due to massive government debt. He suggests that AI capital may be realizing risks, especially with China acting as a competitor, which could impact traditional corporate payments. Bitcoin is viewed as a leading indicator, signaling pain in the broader market before others feel it. A major concern raised is the undermining of property rights in various US states, citing proposals that threaten landlords and property owners. This erosion of foundational American principles makes real estate an increasingly risky investment compared to Bitcoin. The speaker argues that Bitcoin offers the purest form of physically enforced property rights, unlike traditional assets vulnerable to political or governmental seizure. These combined factors—economic instability and threatened property rights—make a strong bullish case for Bitcoin.

Full transcript
[0:02] Yo, welcome back to another episode of
[0:06] the Jack Mallard Show. My name is Jack
[0:08] and you are listening to yet another
[0:11] edition of Mailbag Monday.
[0:15] Ladies and gentlemen, let's get this bad
[0:17] boy timestamped. I'm talking to you all
[0:18] at a Bitcoin price of $65,290,
[0:22] putting Bitcoin's market cap at 1.31
[0:25] trillion. Alltime high
[0:29] 126,160.
[0:31] We are now 48.2%
[0:33] off our all-time high that we made on
[0:35] October 6, 2025, 287 days ago. The last
[0:40] Bitcoin block mined since I hit stream
[0:43] was Bitcoin block height 958,933.
[0:49] How are you guys doing? Good to see you.
[0:52] Um, here's the deal with this episode. I
[0:54] got no Dylan. Um, last week was a really
[0:56] big week for us. Uh, you'll know why
[0:59] soon. This week is going to be another
[1:01] really big week for us. So, I got no
[1:03] Dylan, which means I got no Q&A. So,
[1:05] today will be unfortunately a little bit
[1:08] of a shorter episode. I thought this
[1:10] episode was going to be the longer one,
[1:12] the Q&A one. It's not going to be, so
[1:16] it'll probably be next week. I'm done
[1:17] guessing. It'll be when it be. Um, t is
[1:20] what it is. Everything happens for a
[1:23] reason. Uh, so bear with me. Uh,
[1:25] apologize for that. No Dylan, so I got
[1:27] no one writing questions down. I mean,
[1:29] we could try some Q&A interacting with
[1:31] the chat at the very end if we want. Um,
[1:34] but we got no Dylan today. So today will
[1:37] likely be a bit shorter, but we do got
[1:39] some good topics and grind my gears. So
[1:41] without further ado, try to make these
[1:43] intros shorter. Uh let's get this show
[1:46] on the road. So the title today is AI is
[1:49] changing the world, but at what cost?
[1:53] Just want to talk about obviously this
[1:55] is a Bitcoin show because I'm a
[1:57] Bitcoiner. Um it is the Jack Maller
[1:59] show, so I guess at times we talk about
[2:01] all sorts of random [ __ ] but um I'd
[2:03] consider this a Bitcoin show. uh when we
[2:05] get down to brass tax. So what is my
[2:07] interest in AI? I'd say a few things. Uh
[2:10] one, AI is uh the effort to turn
[2:14] electricity into intelligence. And so I
[2:16] think broadly speaking, I'm a fan of AI
[2:18] and I'm an AI bull because I've talked
[2:21] to you guys before. I think that the
[2:23] story of humanity is commercializing
[2:25] energy from the sun. Um and that's our
[2:28] ability to eat food and turn that into
[2:29] caloric energy. Bitcoin is energy money.
[2:33] Uh, I think that AI is energy
[2:36] intelligence and our ability to harness
[2:38] and commercialize energy from the sun
[2:40] and turn it into intelligence that is
[2:43] accessible to all. I think that that is
[2:45] incredibly valuable, incredibly
[2:47] important. I gave a talk in Prague that
[2:49] Bitcoin and AI are bringing about a new
[2:52] human renaissance that is both unlocking
[2:55] our ability to save and exchange wealth
[2:58] and to have access and produce
[3:00] intelligence. I think it's a really
[3:01] exciting time. So that's more just
[3:04] personally I'm a fan of energy meets
[3:07] intelligence. Broadly speaking when it
[3:09] comes to macroeconomics, financial
[3:10] markets and Bitcoin AI matters because
[3:14] uh it has become a too big to fail
[3:17] sector. It's responsible as we'll talk
[3:18] about in a second for a ton of GDP
[3:21] growth, for a ton of active investment
[3:22] in the west. Um it is the new you know
[3:25] hot war/cold war between the east and
[3:28] the west, between China and the United
[3:29] States of America. Um and it is has
[3:32] great great great great impact on the
[3:34] stock market on the MAG 7 uh on where
[3:38] the marginal speculative capital is
[3:41] going. And there's I've said before and
[3:44] I'd say it's just generally true that
[3:47] Bitcoin won't really start to hum and
[3:49] run until the AI bubble I don't want to
[3:52] say pops and I'll get into you know AI
[3:55] bubble are you saying that this
[3:56] technology is invaluable? I'll explain
[3:57] that all in a second. The reason that
[3:59] all this is relevant is because I do
[4:01] think that the market has had to really
[4:04] digest what this thing is, what proper
[4:06] capital allocation to it is, what
[4:08] Bitcoin is relative to it. Bitcoin is
[4:11] not an AI competitor. Bitcoin is money
[4:13] and AI is intelligence. Those are not
[4:15] the same thing. Uh but I think the
[4:18] market is starting to finally digest,
[4:20] okay, what is this thing? What's the
[4:22] proper capital allocation? Who are the
[4:24] winners? Who's actually going to get
[4:25] paid back? And now that there's all this
[4:27] excess sloshing fiat sitting around,
[4:30] where should it go? And I think Bitcoin
[4:32] will on the back half of all of that
[4:33] catch a bid. And so I like to keep a
[4:35] pulse on how the AI story is doing. I
[4:38] have a very particular opinion on how
[4:40] this story will end. And I think it's
[4:42] really starting to heat up. We're really
[4:44] starting to enter the early innings and
[4:46] into the middle of this game. Um, and
[4:48] it's becoming clearer and clearer and
[4:50] clear to me what's going to happen. So
[4:52] first before we get started um the
[4:54] feedback from you guys is to keep this
[4:56] part short. So we will um the four
[4:58] questions conflict in Iran it can't be
[5:00] ignored obviously 20% of the oil market
[5:02] being taken offline a hot war that
[5:05] involves uh two nations that are bombing
[5:08] each other and building weapons. I mean
[5:09] this is a big deal. It has impacts on
[5:11] inflation has impacts on human lives. So
[5:13] we cannot ignore it but we're not going
[5:15] to waste our time chasing around
[5:16] politicians. So the four questions we
[5:18] always ask is the straight of horm still
[5:20] closed? Is this conflict still ongoing?
[5:22] Are global supply chains still being
[5:23] disrupted? And can the global debt that
[5:26] we have accumulated all over the world
[5:29] survive this level of disruption? The
[5:31] answers remain the same. Uh the strait's
[5:32] still closed, conflict still ongoing,
[5:34] global supply chains remain disrupted,
[5:37] and global debt cannot survive this. So
[5:39] just checking in on the straight, we'll
[5:40] keep it short. The straight of horm is
[5:42] back back to premo
[5:45] levels. MOU memorandum of understanding.
[5:47] that was that we agreed to a deal to
[5:50] agree to a deal to agree to a deal to
[5:51] agree to a deal. Um, and you can see on
[5:54] the far right, uh, for those of you
[5:55] looking on YouTube, you can see the
[5:57] little bump that that gave the traffic
[5:59] in the straight of horn moves. And now
[6:01] we're back to PMOU levels. So, just uh,
[6:06] summarizing what is visually represented
[6:08] on the screen for the podcast listeners
[6:10] out there. I mean, we were doing
[6:11] anywhere between 100 to 160 vessels
[6:14] through the straight a day. Um now we're
[6:16] at four um as of yesterday. So um is the
[6:21] straight of horror muse back in
[6:22] operative? Uh the answer is
[6:24] unequivocally no. Um is the conflict
[6:26] still ongoing? This was from the
[6:28] president of the United States,
[6:29] President Donald J. Trump earlier today
[6:32] on July 20th. He said every time Iran
[6:35] kills an American soldier, they will pay
[6:36] for that killing many times over. This
[6:38] directive has been passed on to the
[6:40] Secretary of War, Pete Haggsth, Chairman
[6:43] of the Joint Chief of Staff, Daniel
[6:44] Kaine, and every leader of the military,
[6:47] President Donald J. Trump. So, I think
[6:49] it is safe to say that this conflict is
[6:51] still ongoing. In fact, the fact that we
[6:53] call it a conflict is arguably
[6:55] misleading. At what point is this just a
[6:57] war? I mean, we've been in war since the
[7:00] last week of February. Um, I don't know
[7:02] the difference between a conflict and a
[7:04] war, but whatever it is, it uh is
[7:06] obviously still ongoing. So, I know that
[7:08] we just got a low inflation print. We
[7:11] saw oil starting to come down. Well, oil
[7:13] is back on the rise. Is inflation going
[7:16] to come back? How long is this
[7:18] conflict/w war/ whatever it is going to
[7:20] last? Uh, we don't know. We don't know.
[7:22] But we're not going to spend too much
[7:24] time on it because chasing around
[7:25] political headlines and whether they
[7:27] agreed to agree to agree to agree or
[7:29] not, um, as as I've said before, it's
[7:32] just a waste of time. It's a waste of
[7:33] time. Um, don't let politicians uh spend
[7:36] the scarcest resource you have, which is
[7:38] your time. Uh, we are short politicians,
[7:42] long Bitcoin on this channel. Okay, so
[7:45] chapter one. Uh, the AI story is is
[7:48] really starting to heat up in my opinion
[7:50] in regards to I think the market is
[7:53] really starting to chew through what's
[7:54] going on here, what the pros from AI,
[7:57] what the cons from AI are. So I don't,
[7:59] you know, I'd be curious your guys'
[8:00] feedback is after this episode because
[8:02] it is largely AI dominant, which you
[8:05] know, I'll obviously all roads lead to
[8:07] Bitcoin. Everything's good for Bitcoin.
[8:09] Don't forget that. So um I'll bring it
[8:11] all the way back to Bitcoin. Um but I
[8:13] would love uh to hear any feedback if
[8:15] this is interesting to you guys, if
[8:16] you're learning um or if there are
[8:18] better AI shows that meet you at the
[8:21] cross uh intersection of Bitcoin and
[8:23] you'd rather me spend my time elsewhere,
[8:24] let me know. But I got to admit, this
[8:27] has been uh taking up more and more of
[8:28] my research time and I've really been
[8:30] enjoying it. I'm enjoying watching the
[8:33] market realize that companies have to be
[8:35] profitable. Economics matter. The free
[8:38] market reign supreme. Uh Bitcoin and AI
[8:40] aren't competitive. You shouldn't think
[8:42] of them as equal capital allocations.
[8:44] You know, one is counterparty risk.
[8:45] betting on a company, taking a lot of
[8:47] risk into can pre-profit businesses
[8:50] actually pay you back versus the other
[8:52] is the best savings, excuse
[8:54] [clears throat] me, the best savings
[8:55] technology in human history. So,
[8:58] first and foremost, I just want to say
[9:00] um AI is real. I use it every day. It's
[9:04] materially benefited my life. And like I
[9:06] said, I'm an AI bull. Um I do think that
[9:09] the story of humanity is commercializing
[9:11] energy from the sun. is our ability to
[9:14] harness energy from the big thing in the
[9:16] sky and generate uh human prosperity and
[9:21] build society with each other. Um we
[9:25] have energy money now in Bitcoin. We
[9:27] have energy intelligence now with AI uh
[9:30] our food caloric energy. Um, and so e
[9:33] energy and our ability to commercialize
[9:35] it, harness it, and make use of it has a
[9:38] direct correlation to human prosperity
[9:41] and the development of any given
[9:42] civilization. Obviously, when
[9:44] politicians tell you that you shouldn't
[9:45] be using all this energy and using
[9:47] energy is bad, they're full of [ __ ] Uh,
[9:49] a politician's opinion is a politician's
[9:51] position. That probably means they're
[9:52] short energy. Um, but anyway, that's for
[9:55] a separate Jack Mer episode. Uh the
[9:58] point here is that I'm an AI fan and I
[10:01] don't want uh the opinion on record to
[10:04] be anything other than that. Um that is
[10:07] not my debate. My question to AI is
[10:11] whether everyone financing the buildout
[10:14] of this new industry is going to make
[10:16] money. Let me say a different way. Let's
[10:19] take Bitcoin. Bitcoin had lots of
[10:22] infrastructure built out, exchanges,
[10:25] mining, all sorts of businesses. Has
[10:28] everyone that's been involved in Bitcoin
[10:31] made money? Or has there been at times a
[10:35] misallocation of capital? People that
[10:38] totally misunderstood Bitcoin mining,
[10:41] the difficulty adjustment, how a global
[10:43] energy market is going to work, the fact
[10:45] that Bitcoin doesn't need marginal
[10:47] energy. It can work with whatever energy
[10:50] is available. There's been tons of
[10:52] people that have got blown out. Tons of
[10:54] Bitcoiners quote unquote not actual but
[10:56] I guess proclaimed that are sitting in
[10:58] jail like Sam Begman Freed Mount Gaus
[11:00] went down. So the point is Bitcoin as an
[11:04] innovation here to stay. Yes. Now every
[11:08] single person that's ever been in
[11:09] Bitcoin, an entrepreneur um in Bitcoin,
[11:12] has there been misallocation of capital?
[11:15] Have people been marked to zero? Yes. So
[11:19] I think that there needs to be analysis
[11:21] done at I mean we're seeing this is the
[11:24] greatest infrastructure buildout at
[11:26] least nominally in the history of
[11:29] mankind. Humans have never gathered to
[11:32] spend more capital on any given effort
[11:35] ever in our history. Fiber optic cables,
[11:39] railroads, the internet, this is the
[11:42] biggest ever. And so the question is, is
[11:45] everyone going to get paid back? Is
[11:47] there going to be misallocation of
[11:50] capital? And the reason again that this
[11:52] is relevant as Bitcoiners is because we
[11:54] are trying to educate the world that if
[11:57] you have capital that needs to be saved,
[11:59] okay, not invested, that implies
[12:01] counterparty risk, that implies a
[12:03] roadmap gets executed, that rem that
[12:05] implies profits grow, that implies a
[12:07] payback schedule. Saved. No counterparty
[12:10] risk. hard money, enforcable scarcity,
[12:14] self-s sovereignly held on your own. We
[12:17] are on a mission to monetize the world
[12:19] on hard money. And when you have an
[12:21] investment wave that people
[12:23] misunderstand into competing with that,
[12:27] um it it matters to our mission uh to
[12:30] people have said time and time again,
[12:32] AI's taking Bitcoin's throne, blah blah
[12:35] blah. It's obviously all [ __ ] It's
[12:36] obviously all momentary and temporary.
[12:40] Um, but that's why I think it's
[12:42] interesting because it's all starting to
[12:44] fall apart. So, first and foremost, you
[12:46] know, this show is about this is back to
[12:48] basics. You're not going to get a
[12:49] Harvard PhD listen to this show. Um, I
[12:52] don't even have a college degree. So,
[12:54] this is about basics uh by the common
[12:56] man for the common man bringing um
[12:58] finance and Bitcoin and some of these
[13:01] broad world topics to the streets. Okay.
[13:03] Um, let's get to brass tax. None of
[13:06] these AI companies that you know are
[13:08] profitable. I'm going to say that again.
[13:11] None of these companies are profitable.
[13:15] And I've said this before to you guys.
[13:16] To me, profit is a moral obligation
[13:21] before a financial obligation. Because
[13:23] because profit really is if money is
[13:26] value, which I think we all agree it is,
[13:29] well then by producing more money for
[13:32] your company than you spend, you are
[13:35] literally it is the financial expression
[13:37] of producing more value than you are
[13:40] consuming. It is the financial
[13:42] expression of making the world a better
[13:44] place. If making the world a better
[13:45] place was to be measured and denominated
[13:48] in value creation, then being profitable
[13:51] is the expression of that. And so this
[13:53] would be like a very libertarian free
[13:55] market Austrian economics way of
[13:56] thinking is producing profit is the goal
[13:59] because it is the way that the market is
[14:02] telling you you're doing good for the
[14:05] world. You are creating value. So I you
[14:08] know and obviously Keynesian economics
[14:11] and fiat and this mess that I was born
[14:13] into and that we live in today has
[14:16] greatly complicated this idea. You know,
[14:18] you've got these companies that never
[14:20] plan on making profit, that infinitely
[14:22] raise money when fiat when when money
[14:25] can just be printed out of thin air.
[14:27] Well, then you get the master of all
[14:29] misallocations of capital, all
[14:31] malinvestment, because money is easy. If
[14:34] money is as easy as snapping my finger,
[14:36] then why do I give a [ __ ] about how it's
[14:38] invested, where it's invested? If I lose
[14:40] it, I'll just get bailed out. If I need
[14:42] more, I'll just print more. And so we've
[14:45] lost sight of just how how really simple
[14:48] society should be governed. Uh you need
[14:52] to make money. You know, it's it's a
[14:53] form of Darwinism almost. If you're a
[14:55] business that is uneconomical, you
[14:58] should fail because we want the human
[15:02] energy and human resources and human
[15:04] capital to be focused on places that are
[15:06] productive. We don't want everybody
[15:09] wasting their time building something
[15:11] that's never going to be productive,
[15:12] valuable, and help us. Why would we want
[15:15] that? As sad as it is, shut your
[15:17] business down. Do something better with
[15:18] your life, brother. Okay, so the first
[15:21] thing for you you guys to understand,
[15:23] none of these companies make money.
[15:25] Supposedly, Anthropic claims they can be
[15:28] profitable by 2030. Open AAI has no path
[15:32] to profitability. Zero. I'll get to that
[15:35] in a second. um X AI Elon's thing which
[15:38] is now rolled into SpaceX and stuff they
[15:40] don't make money either.
[15:43] So the first thing to understand which
[15:45] is critically important is that none of
[15:48] these companies can finance themselves.
[15:50] Say that one more time. If you can't
[15:54] produce a profit, you are wholly reliant
[15:57] on somebody else to pay your bills,
[16:00] somebody else to finance the conviction
[16:02] that you have in the future. So, these
[16:05] companies are all incredibly indebted to
[16:08] build out what I just told you guys is
[16:10] the greatest infrastructure buildout in
[16:12] the history of humanity, but they don't
[16:14] produce any profits. So, you now have
[16:17] borrowers. So, when I say they're
[16:18] indebted, they're borrowing money. You
[16:20] have people borrowing money that can't
[16:23] pay off their own debt. They can only
[16:26] refinance their debt. Someone else has
[16:28] to keep financing them. They have to
[16:30] keep borrowing and refinancing just to
[16:33] sustain the business or else the whole
[16:34] thing goes kapoof. And by the way, this
[16:37] is actually exactly why these companies
[16:40] keep raising private up rounds is
[16:42] because as long as the equity keeps
[16:44] being revalued at a higher price, you
[16:47] can refinance your whole capital stack.
[16:50] But I dare these businesses to actually
[16:52] go public so that the public markets
[16:54] which are ruthless can tell you the
[16:56] truth and mark your equity down and then
[16:59] the whole thing blows up because you
[17:01] can't actually um pay with profit. But
[17:04] we'll get there later. Um another
[17:05] reminder for you guys. So for one, none
[17:08] of these businesses produce profits.
[17:09] Critically important to remember that
[17:11] and just why profits are important. If
[17:14] you don't have profits, then you can't
[17:17] finance yourself. You don't get to
[17:20] decide what payroll is, what your salary
[17:22] is, how much debt. It's up to someone
[17:25] else. At the end of the day, I encourage
[17:27] every entrepreneur to immediately try
[17:30] and produce more than you consume. I
[17:31] encourage every individual, every
[17:33] family. You guys listen to this show,
[17:35] earn more than you spend. Find ways in
[17:39] your life to consume less. Find ways in
[17:41] your life to save more. that is a it's a
[17:44] very honorable thing that that uh how do
[17:49] I say it it honors your dignity as a as
[17:52] a person as a man as a woman by saying
[17:55] my future is valuable I'm going to
[17:58] consume less I'm I'm going to say you
[18:01] know what I don't need the superers size
[18:03] me meal or the Uber black or to fly
[18:06] private this time I'm going to delay
[18:08] gratification consume less which
[18:10] prioritizes my future lowers my time
[18:13] preference. Okay. Now, the second lesson
[18:16] that you guys need to understand, brass
[18:17] tax, very simple, is that AI is not a
[18:20] software business. AI, unfortunately,
[18:23] the markets are just now starting to
[18:25] understand this. We've been talking
[18:27] about on the show, a lot of the things
[18:28] we're going over today, we've been
[18:29] talking about on the show for months.
[18:30] So, if you listen to the show, you got
[18:32] some serious alpha. But AI businesses
[18:35] are not like internet companies because
[18:38] internet companies were fascinating
[18:40] business models because you had two core
[18:43] expenses. One, you got to plug your
[18:45] servers in somewhere and two, you got to
[18:48] pay your engineers, but that's it. And
[18:51] you could have a fixed amount of
[18:52] engineers and the software scales
[18:54] infinitely just to get to you know going
[18:58] from a million users to a billion users
[19:01] doesn't require the same amount of scale
[19:03] when it comes to engineers. We've seen
[19:06] now with with AI and and all of the
[19:09] cloud servicing and engineer we've seen
[19:11] a group of 10 engineers scale software
[19:14] to a billion people because of things
[19:16] like the iPhone because of the cloud.
[19:19] Okay. Now, AI is categorically not that
[19:23] business. Those businesses were the
[19:24] greatest businesses of all time. Meta,
[19:27] Microsoft, I mean, you have fixed
[19:29] expenses relatively
[19:32] and growing amounts of pure cash flow.
[19:34] These are insanely high margin
[19:36] businesses. You're selling products to
[19:39] billions of people and you're employing
[19:41] thousands of people. You're making tens
[19:44] of billions, hundreds of billions of
[19:46] dollars a year of pure pure pure cash.
[19:50] Okay? AI businesses are not that because
[19:53] they require physical buildout. They're
[19:57] the opposite of low cost, high margin.
[20:00] They are extremely high cost because of
[20:02] the things on the screen. You got to
[20:04] build out data centers, you need GPUs,
[20:06] you need chips, you need electricity,
[20:08] you need cooling, you need power
[20:09] infrastructure. So instead of low cost,
[20:11] high margin, they are high cost and so
[20:14] far negative margin. These companies
[20:17] don't make any money. They're
[20:19] uneconomical so far. Now, obviously the
[20:22] the whatever Silicon Valley guy, if he
[20:25] were arguing with me and debating me at
[20:27] a conference, he would say, "Well,
[20:29] Amazon was this at 1.2."
[20:32] Like eventually though, Amazon was able
[20:34] to grow out of that and became one of
[20:36] the most profitable companies ever. It's
[20:38] a staple in in society. That's all true.
[20:40] Fine. Fair. But the point is that AI
[20:43] right now is priced as a software
[20:45] business as if they get a multiple.
[20:48] Really AI is like a real estate business
[20:51] or a physical infrastructure business
[20:53] that you know has an app on the app
[20:55] store as well.
[20:58] But it there was a very viral blog post
[21:02] that went around. Um maybe you know I
[21:04] can point you guys to it towards the end
[21:06] of the episode. It's a really long read,
[21:07] but it's very good. Which says basically
[21:10] the AI bubble is much closer to the 2008
[21:14] housing crisis than the dot era. The.com
[21:17] era was just everyone was way too
[21:20] exuberant and excited about these
[21:22] technology equities and gave them far
[21:24] too much multiples, were way too
[21:26] optimistic about the future and the cash
[21:27] they'd be able to produce and gave them
[21:29] the benefit of the doubt that they'd
[21:31] have uh easy revenue models and easy
[21:33] monetization streams that they'd be able
[21:35] to implement and just got way too
[21:36] exuberant and the equity just had to be
[21:39] marked down.
[21:40] The AI stuff is very different because
[21:43] none none of these businesses produce
[21:45] profit and they're building physical
[21:48] literal infrastructure like they're
[21:50] building physical data centers taking
[21:52] over land like needing to invest in
[21:55] these are they're spending trillions and
[21:58] trillions and trillions of dollars as an
[22:00] industry. That money is all borrowed
[22:03] uncolateralized.
[22:07] That's not like buying an equity and
[22:09] having it get marked down and you're
[22:11] like, "Well, [ __ ] you know, I'm still
[22:13] bullish Amazon. I'm gonna hodddle. I'm
[22:15] gonna keep No, no, no. You're you're
[22:17] you're borrowing. This is
[22:19] uncolateralized. This is like what
[22:20] happened in the housing market. This is
[22:22] a physical industry." Okay. So, I
[22:25] created this meme. AI has always been a
[22:27] cost inensive business. So, the meme is
[22:30] AI is more of a credit driven real
[22:31] estate cycle than a technology cycle.
[22:34] and the guy pointing the gun. It always
[22:36] has been. It always has been, guys. It
[22:39] always has been. You're starting to see
[22:41] the Mag 7 multiples compress because
[22:43] they're going from software businesses
[22:46] to physical highcost businesses. These
[22:49] these MAG7 hyperscaler businesses are
[22:52] losing profitability. They're now piling
[22:55] on debt, which is leverage. So, you've
[22:57] gone from pure cash flow stock buybacks
[23:00] to highly levered and unprofitable. the
[23:03] market is at some point the market is
[23:05] going to realize what the [ __ ] am I
[23:07] paying a multiple for? Why would I own
[23:10] that instead of something else? And as
[23:12] we'll get to that something else at the
[23:13] margin is going to inevitably be
[23:15] Bitcoin. Bitcoin is really like one
[23:19] giant long- winded story of fixing
[23:22] capital misallocation throughout the
[23:24] world. Oh, you were you meant to save
[23:27] money for your future, not to take a
[23:29] highly levered physical infrastructure
[23:31] AI bet. Oh, shoot. You were meant to
[23:34] invest in Bitcoin, not in, you know,
[23:36] Open AI series E2.
[23:40] Anyway,
[23:41] um, so what has happened recently, which
[23:44] has gotten me really excited, uh, and
[23:47] listen, I'm cheering for everyone. I I
[23:48] hope I hope no one's lives gets ruined
[23:50] or whatever, but the reality is like a
[23:52] lot of this money should be focused on
[23:53] Bitcoin and saved in Bitcoin. And
[23:55] there's a lot of misallocation in
[23:56] capital and AI. A lot of people have
[23:58] been really slow to understand. It's
[24:00] just so hypy. It's so frothy. Um,
[24:05] so what happened recently is competition
[24:07] changes everything. You've had these
[24:09] businesses that go they they were worth
[24:11] 10 billion dollars two years ago. Now
[24:12] they're worth a trillion dollars. You're
[24:15] going to attract global competition as
[24:17] you should. Competition breeds
[24:19] innovation. We want the free market to
[24:21] govern how resources are allocated,
[24:24] where our focus should be, where to
[24:25] optimize, where to be more efficient.
[24:27] Uh, so what has happened? Chinese
[24:29] models. As guys, for the loyal
[24:32] listeners, you guys got to have my back
[24:34] here. You got to have my back here
[24:36] because I've been talking about how
[24:38] these Chinese models are coming for the
[24:42] American models ass because China China
[24:46] graduates more engineers per year than
[24:48] the US has in some. We know that they
[24:52] have been better at building things than
[24:54] us, especially the physical hardware
[24:57] side. But it's also unclear to me if the
[25:00] software side uh is also uh an an issue
[25:05] as well. And I've been saying time and
[25:07] time again, don't count out China. Don't
[25:09] count out China. Don't count out China.
[25:11] The story of China over the decades
[25:12] competing against the US is they're
[25:15] relatively on par as far as quality, but
[25:17] the pricing is a fraction. Is a
[25:20] fraction. And it was just as soon as
[25:22] last episode we went over this. So, some
[25:25] of these Chinese models are now
[25:26] approaching frontier model quality, like
[25:28] the best you can get from Claude, the
[25:30] best you can get from OpenAI. Now, going
[25:33] back to the first slide, is this a bad
[25:34] thing for you and I? No. Is this a bad
[25:37] thing for Strike? No. Is this a bad
[25:40] thing for Bitcoin? Absolutely not. This
[25:42] is great. We're getting cheaper, better,
[25:45] higher quality intelligence. The
[25:48] marginal cost of intelligence is driving
[25:51] itself and grinding itself to zero. Not
[25:53] to mention Chinese models are open
[25:55] source. It's great. So the question is
[25:58] [snorts] who loses? Who loses because of
[26:02] this? Well, those that invested poorly.
[26:05] Imagine this. Let's just say I'm using
[26:07] round numbers. Someone invests in an
[26:09] open AI investment. Assuming that the
[26:11] cost of the marginal cost of AI is going
[26:14] to be a,000 bucks a user and China comes
[26:17] out with a model that's open source and
[26:20] is a penny a user. Well,
[26:24] you know who loses?
[26:27] Well, the guy that was assuming he was
[26:28] going to get paid back on that thousand
[26:30] per user model.
[26:33] Is that a bad thing? No. Investments go
[26:36] bad all the time. And it's how, you
[26:39] know, is this how humans get better? You
[26:41] learn from it. What went wrong? What did
[26:42] I miss? I didn't understand the Chinese
[26:44] market that well. I didn't understand
[26:46] how powerful open- source technology
[26:48] was. These are really critically
[26:50] important things. It's not a bad thing.
[26:52] But what I'm telling you guys is we have
[26:55] a national security uh in AI. This is
[26:58] national strategic imperative. We've
[27:01] spent trillions and trillions. Mind you,
[27:03] AI has attracted more capital than the
[27:06] initial COVID print. Like the order of
[27:08] magnitude of investment is extreme. So,
[27:11] if you guys think that credit markets
[27:14] aren't going to seize up, that like set
[27:17] another way, if all of a sudden all
[27:19] these people that have lent all this
[27:20] money and invested all this money aren't
[27:22] going to get paid back, they're going to
[27:24] have to start selling their treasuries
[27:25] to make rent. They're going to have to
[27:26] start selling their Bitcoin. They're
[27:28] going to have to start selling their
[27:28] equities. It's going to be a serious
[27:30] issue. Now, the question and and what we
[27:31] all assume is that the government will
[27:33] step in and and and make everything
[27:36] okay. But this is what happened uh since
[27:38] I last talked to you guys. So, a Chinese
[27:40] model has climbed the ranks. Uh, Kimmy
[27:42] K3, uh, which is a new model. Uh, I'll
[27:47] just read the tweet. Big news. Kimmy K3
[27:49] by Kimmy Moonshot is now the number one
[27:52] front-end code arena with 1679 points,
[27:55] surpassing Claude's Fable 5. That's a 17
[27:59] place jump from Kimmy K2.6.
[28:02] In front end, Kimmy K3 is number one in
[28:05] six of the seven domains. Brand and
[28:07] marketing, reference-based design, data
[28:09] and analytics, consumer product,
[28:11] simulations, and content creation tools
[28:13] landing number two and only gaming
[28:15] behind Fable 5. And by the way, it's a
[28:18] fraction of the cost. A fraction of the
[28:21] cost. So, what did we talk about last
[28:24] episode? Uh, what did we expect for one?
[28:27] I called it. I hate to I hate to be the
[28:30] guy that says, "I told you so, but I
[28:31] told you so." So, what else did we say
[28:34] last week? We said, "Well, if you're a
[28:36] business, if you're Strike, if you're
[28:37] any business, do you want to use the one
[28:40] that cost 10 times more or 10 times
[28:43] less?" Well, it's obvious. I want to use
[28:46] the one 10 times less. And by the way,
[28:48] um I I'll also use the open source one
[28:50] because I can see are there any back
[28:52] doors? What are you doing with my data?
[28:54] Um so, open source and it costs 10 times
[28:57] less. I mean, you got to be kidding me.
[28:59] So, what did we see this week? Just in,
[29:02] US companies reportedly use Chinese AI
[29:05] models more than domestic alternatives.
[29:08] No [ __ ] Why would I? It's just a
[29:11] no-brainer. That's the free market at
[29:13] work. So, then a headline that followed
[29:15] that today
[29:17] just in, Trump officials are reportedly
[29:19] weighing blocking US access to top
[29:22] Chinese AI models.
[29:25] Okay. Well, we talked about this last
[29:27] week as well. If you're the government,
[29:28] what are you going to do about it? What
[29:31] are you going to do about it? And this
[29:32] goes, guys, this goes all the way back.
[29:34] I, you know, this will be long
[29:37] long-winded and repetitive, but I got to
[29:39] do it. This is because the dollar's the
[29:42] global reserve currency. And I sound
[29:44] like a religious Bitcoiner, but bear
[29:46] with me for a second. The reason that's
[29:48] the case is when you are the world
[29:50] reserve currency, your job is to export
[29:53] the currency. You have to structurally
[29:55] run deficits. You can't run a surplus
[29:57] because how's the world going to get the
[29:59] dollars in the first place? You have to
[30:02] end on net owing dollars.
[30:06] You can't you you cannot on net be owed
[30:11] Chinese juan or Brazilian real. You have
[30:14] to on net owe dollars. So you're
[30:16] constantly exporting the dollar which
[30:18] means you you're you're a net importer
[30:20] of stuff. And so over time,
[30:22] globalization is everyone else around
[30:24] the world produces stuff that Americans
[30:26] consume. And what do Americans export?
[30:28] Financialization, Wall Street, Silicon
[30:30] Valley, the dollar,
[30:33] futures contracts, paper contracts,
[30:35] exchanges, right? So
[30:38] all of this is because China spent
[30:41] decades
[30:43] building cheap stuff. They're the
[30:46] world's factory. And this is a policy
[30:49] decision. If you want to start to
[30:50] reverse this, very simple, don't be the
[30:53] world reserve currency. Let the dollar
[30:55] be worth whatever it needs to be worth.
[30:58] It is artificially strong because of
[31:00] that world reserve currency status
[31:02] because it has demand that it otherwise
[31:04] wouldn't if it wasn't the world reserve
[31:06] currency. So if you just remove that
[31:08] from it and you remove all of the
[31:11] artificial demand that comes with that
[31:13] then the dollar will get significantly
[31:15] weaker which that's another way of
[31:16] saying gold bitcoin will go up
[31:18] significantly but then the dollar will
[31:21] be so cheap that it will be affordable
[31:23] to hire people for labor to produce
[31:26] iPhones here to produce chips here to
[31:28] produce whatever you need here in
[31:30] America.
[31:31] But this is all a matter of a policy
[31:35] decision to be the world reserve
[31:36] currency, to want to own the money
[31:38] printer, to want to utilize the Federal
[31:40] Reserve, to want to bail people out and
[31:42] weaponize money. It's all it's all comes
[31:45] down to that choice, point blank. And
[31:48] so, how did I know that Chinese AI
[31:50] models were going to show up one day and
[31:52] start kicking our ass, guys? I It's not
[31:54] like it's not rocket science. It's all a
[31:57] function of the pol of trying to
[32:00] monopolize money. Very simple. It's
[32:03] exactly what happened to the US with
[32:04] bluecollar work. Remember when
[32:07] bluecollar workers were like, "Yeah,
[32:08] yeah, Chinese version is cheaper, but
[32:10] it's not, you know, it's not US. It's
[32:12] not the quality of America. It's a
[32:14] shittier version. China's versions are
[32:16] shittier." Sure, if you want cheap,
[32:17] shitty Chinese version. And then over
[32:19] time, it was like, "Oh, is is the China
[32:21] version that shitty? It kind of is the
[32:23] same quality. it's a fraction of the
[32:25] cost. Oh, they're also able to build,
[32:27] produce, and scale it far wider and
[32:29] further. And then before you know it,
[32:31] you know, bluecollar work has been
[32:33] eviscerated in the United States, and
[32:35] China's the world's factory.
[32:37] It's the same thing is happening. What
[32:40] What am I seeing on Twitter? Well, I
[32:41] don't I'm not going to use the Chinese
[32:42] version. I'm American. No. Hey, Num
[32:45] Nuts. It It's not about that. Like,
[32:48] don't politicize everything. It's about
[32:50] it. It's an open-source AI model that's
[32:52] a tenth of the cost at at best if you're
[32:55] American. It might be a hundth of the
[32:57] cost. You'd have to be an idiot. You're
[32:59] just sacrificing money.
[33:02] You say, "Okay, but you know, the China
[33:04] version is not. It's I mean, it might be
[33:06] cheaper, but it's no open AI." No, it is
[33:09] though. It is. And by the way, people
[33:12] are saying, "Oh, yeah. Well, that's
[33:14] because China is is stealing open. It's
[33:17] it's downloading chatbt and testing it
[33:20] out and then able to kind of reverse
[33:21] engineer. Okay, who gives a [ __ ] Guess
[33:24] what? I don't give a [ __ ] I just want
[33:27] the cheapest intelligence I have access
[33:28] to. I don't care. You know who cares
[33:31] are? Are the people that invested
[33:32] trillions of dollars assuming Chat GBT
[33:35] had some moat that was defensible and is
[33:37] going to be worth $10 trillion as a
[33:39] company. Yeah, I feel bad for those
[33:41] people. Those people should have stayed
[33:42] humble and stacked stats. They're not
[33:44] going to get their money back, are they?
[33:46] But that's that's as the world goes.
[33:48] That's how it works. You invested money
[33:50] into something that didn't work. Sorry.
[33:54] You should have bought Bitcoin. If
[33:56] people want to save money into their
[33:58] future without counterparty risk and
[34:00] without taking on risk, that's what
[34:03] Bitcoin is for. Stop comparing these
[34:05] two. Bitcoin is not going to change.
[34:07] It's not the consensus rules aren't
[34:09] going to change. You're not going to all
[34:10] of a sudden wake up and there's now 42
[34:12] million Bitcoin. Bitcoin is Bitcoin.
[34:15] Now, if you want to take risk, that's
[34:16] fine. You could lose it.
[34:19] Pretty simple. So, now from David Saxs,
[34:23] basically admitting to everything that
[34:25] I've been saying. I'll read his tweet
[34:27] verbatim. This is concerning. For the
[34:29] first time, a Chinese model Kimmy K3 has
[34:32] taken the number one on front-end code
[34:33] arena and is scoring at or near the
[34:36] frontier on other benchmarks. Meanwhile,
[34:39] America is tying itself in knots.
[34:41] Politicians and bureaucrats are banning
[34:42] new data centers, piling on state
[34:45] regulations, and pushing for new federal
[34:46] agencies to pre-approve frontier models.
[34:49] This is how you lose the AI race. The
[34:51] rest of the world won't play by our
[34:53] rules if we bog ourselves down.
[34:55] Permissionless innovation is how America
[34:57] won the internet and became the
[34:58] technological envy of the world. We can
[35:00] do it again with AI while addressing
[35:02] risks in a targeted way, or we'll watch
[35:05] our lead evaporate.
[35:07] So, I move on. What is David talking
[35:10] about? Well, um, what state do you guys
[35:14] think was the first to start banning AI
[35:17] data centers?
[35:21] Ding, ding, ding, ding, ding. New York.
[35:24] Of course, it was New York, which will
[35:26] be part of my grind my gears section.
[35:28] This from CNBC. New York becomes the
[35:30] first US state to impose AI data center
[35:32] ban. The key points highlighting the
[35:34] article are as such. New York State
[35:36] Governor Kathy, I don't know how to
[35:38] pronounce your last name, on Tuesday
[35:40] signed an executive order uh barring the
[35:42] construction of new hyperscaler data
[35:44] centers using 50 megawws or more of
[35:47] power for up to one year. It is the
[35:50] first statewide data center ban in the
[35:52] US. Though similar measures, also
[35:54] referred to as moratoriums, are being
[35:57] considered by other states. Public
[35:59] polling has shown significant increase
[36:01] in opposition opposition to data center
[36:03] construction as voters face soaring
[36:06] electricity bills and fear the jobs
[36:08] impact of AI. And this is from Sophie
[36:11] Cunningham, which is a WNBA player in
[36:14] the United States. She is Caitlyn
[36:16] Clark's teammate. I don't know. I mean,
[36:18] I've got a ton of uh non-American
[36:21] listeners, so you know, I have a tough
[36:23] time having you guys understand who like
[36:26] LeBron James and Michael Jordan are.
[36:27] There's no way you're going to know who
[36:29] Sophie Cunningham is, but she's a US uh
[36:32] women's basketball player. And uh she
[36:36] tweeted out, "So, how do we save our
[36:38] farmland and stop all these dumb data
[36:40] center buildouts?" And here's the other
[36:42] problem with the Great West is
[36:45] government has gotten big and people are
[36:48] elected to print money and give you free
[36:50] [ __ ] What do I mean by that? Um, let me
[36:53] go to
[36:56] the Uh let me go to this slide. Um the
[37:00] what we're looking at here is GDP is
[37:02] highly dependent on AI spending. So AI
[37:06] spending is now 8% of all GDP
[37:10] and it's contributing to over 25% of
[37:12] GDP's growth. on the right this from the
[37:16] economist
[37:18] the the visuals titled the AI crutch US
[37:22] private non-residential fixed investment
[37:23] as a percentage change of previous
[37:25] quarter annualized
[37:27] nonAI spending is in the gutter it's now
[37:30] below zero AI related is hovering around
[37:33] 20%.
[37:36] And so it's it's like which way, western
[37:38] man?
[37:40] Okay, fine. AI is causing your
[37:43] electricity bill to go up and AI is
[37:45] going to take your jobs. Okay. Well,
[37:48] then we go into a deep recession and the
[37:51] economy collapses.
[37:55] And this is the problem with modern
[37:57] society and government getting too big
[38:01] is because you have people that are
[38:04] going to run a as prominent politicians
[38:08] that are going to I mean their their
[38:13] plan is to listen to what you're
[38:15] sensitive and emotional about say they
[38:17] can defy the laws of physics for you. Of
[38:19] course they can't and it's going to
[38:21] result in a bunch of printed money. it's
[38:22] going to result in inflation and and the
[38:24] cycle continues. Society thinks that all
[38:27] we need is the right political leader
[38:30] that all of the world's problems are
[38:32] solely because we don't have the right
[38:34] person. Have you guys lost your [ __ ]
[38:36] mind? Are you that stupid?
[38:38] There is no human being that can sit as
[38:42] whatever political in whatever political
[38:46] position and fix every problem.
[38:50] It's far more systemic than that. You
[38:52] have to you like viewing these
[38:55] politicians as anything other than
[38:57] virtue signaling like nonsense that just
[39:00] perpetuates and propagates all of the
[39:02] issues even further by making promises
[39:04] that they cannot follow through on. It's
[39:08] ridiculous. So yeah, I mean what is
[39:10] America going to do? Here we are where
[39:13] China is building cheaper
[39:16] onpar versions as America
[39:20] and what issue does America how is
[39:22] America going to compete with that? So
[39:23] Trump's initial reaction was he was
[39:25] going to ban us from using the Chinese
[39:26] models.
[39:28] Okay, that sounds like a terrible idea.
[39:32] Um I mean that is literally saying the
[39:36] United States is no longer a free
[39:37] market. what's you know what is like
[39:39] capital controls but for AI intelligence
[39:41] controls. Um that that sounds like a
[39:44] very bad idea. Um but we have this issue
[39:47] where there's far too many politicians,
[39:49] far too much regulation, the
[39:50] government's far too big. Nobody can
[39:52] build anything. Nobody can I mean people
[39:54] are trying to compete in the free market
[39:57] um and win the AI race and you have
[39:59] athletes and politicians in New York
[40:02] banning you from doing so. So of course
[40:04] we're going to lose the AI. I mean what
[40:06] are we doing? So like what are crazy
[40:10] ways that the US can compete with China
[40:12] whilst trying to you know figure itself
[40:14] out through Congress and state
[40:16] regulations and all this stuff. Well if
[40:19] for example Trump just subsidized
[40:22] uh open AI tokens. So he said hey open
[40:25] AI tokens are basically on the house.
[40:27] You can use chatbt for free.
[40:31] Boom. Problem solved. American AI is
[40:33] just as cheap as Chinese AI. Um, but
[40:37] again, that's a bailout. That's money
[40:39] printed. And if I go back to this
[40:41] article I've been referencing the last
[40:42] few weeks, OpenAI reportedly pitches
[40:44] granting US government a 5% stake in the
[40:46] company. Um, and then by the way, after
[40:49] that, uh, this I think is from Wall
[40:52] Street Journal. Uh, OpenAI leans towards
[40:54] waiting until next year for its IPO.
[40:57] This is critically important signpost
[40:59] here because the reason Open AAI would
[41:02] not go public. Listen, if you're a great
[41:04] business and you make money and you want
[41:08] to continue to finance your build out,
[41:10] you should go public. If you're not,
[41:12] then you don't. So, it's very simple.
[41:15] They aren't going public because it's a
[41:18] bad idea for them. The other thing is
[41:20] when you're a business that's building
[41:22] out physical physical projects, you're
[41:25] borrowing money owing hundreds of
[41:27] billions of dollars and you aren't even
[41:29] profitable on your own. Not only are you
[41:31] not profitable against your expenses,
[41:33] but there's even there's there's step
[41:35] one is just like earning more than you
[41:36] spend as a business. Step two is earning
[41:39] enough to pay off all the debt you've
[41:40] accumulated. So, not only are they not
[41:43] even remotely close like in the same
[41:45] universe as being able to pay off all
[41:47] the debt they've accumulated, they don't
[41:49] even make more money than payroll.
[41:52] The problem with going public is in
[41:55] order to continue to perpetuate this
[41:58] bubble, you have to keep getting a
[42:00] markup on your equity because they're
[42:02] refinancing all their debt with their
[42:04] equity. So open AI was worth 80 billion,
[42:06] then 150 billion, then 300 billion, then
[42:08] 500 billion, then 800 billion. That
[42:10] number has to keep going up because as
[42:13] soon as someone says, "Okay, now you're
[42:14] worth a trillion," then they get to
[42:16] refinance all of their debt.
[42:20] My spidey senses are that they don't
[42:22] want to IPO because they don't want the
[42:25] public markets to tell them what they're
[42:26] worth. Because if they IPO at 800
[42:28] billion, like I bet they saw what
[42:30] happened to SpaceX and they said, "Fuck
[42:33] that. This is way too scary
[42:37] because SpaceX is tra I mean SpaceX has
[42:39] lost a trillion dollars of market cap
[42:41] already. And if that happened to Open
[42:44] AI, they would not be able to survive
[42:47] because you would not be able to
[42:49] refinance and kick the can on all of
[42:51] this indebtedness.
[42:53] None of these businesses make any money.
[42:55] So yeah, is is AI here to stay? Yes. Is
[42:58] AI is all of this good for you and I, by
[43:00] the way? Yeah. Hell yeah. Give me the
[43:02] cheapest form of intelligence. Like I
[43:05] get I get access to open source Bitcoin
[43:08] and open source intelligence. I mean,
[43:10] I'm living well over here. I'm living
[43:12] great. But, you know, there's trillions
[43:15] and trillions of dollars of capital
[43:17] misallocation that that is going to need
[43:20] to be handled. Either all of it's going
[43:21] to be allowed to fail and that's going
[43:23] to be highly recessionary. I mean,
[43:26] people are going to blow up. Um, stock
[43:28] market's going to get sold off
[43:29] tremendously. Assets are going to get
[43:31] sold off tremendously, right?
[43:34] or I mean just the just the like
[43:38] political dogma and how big government
[43:40] has gotten and how how big government
[43:42] has interfered in all of our lives. What
[43:44] do you mean you can tell me what what I
[43:48] get to build business-wise in my state?
[43:52] So, so what is the US going to do about
[43:54] that? Just lose the AI race? It's an
[43:56] option. We could just say [ __ ] it.
[43:58] Whatever. China wins. That's fine. Now,
[44:01] the Trump administration has said that
[44:03] that is not an option.
[44:07] So, what are you going to do? Go to war
[44:09] with the state of New York?
[44:12] Start to subsidize open AI other ways?
[44:15] But you guys see why this is all of a
[44:16] sudden fascinating. the a the whole AI
[44:20] thing is starting to unwind a little bit
[44:23] because for the longest time it was like
[44:25] all you had to do was throw money at AI
[44:27] and you were a genius and like everyone
[44:29] was going to get a return on investment
[44:31] and it's like yeah but none of these
[44:33] companies are profitable so how is
[44:35] anyone going to get paid back and it's
[44:37] crazy because who am I not the smartest
[44:39] guy in the room
[44:41] why why is it take me to ask
[44:44] kindergarten level questions guys no
[44:47] one's making money. So who how are you
[44:49] going to get paid back?
[44:52] And this slide I wanted to show you guys
[44:54] this is the credit spreads for the
[44:56] hyperscalers.
[44:58] So the credit spreads is another way of
[45:00] saying okay these companies are now all
[45:02] borrowing money. Now what how do I
[45:06] simplify this? What rates are they get
[45:09] getting money at? Because if the market
[45:11] is basically if the rates they're
[45:13] getting market at at money at is rising
[45:16] that means higher credit spreads
[45:18] widening credit spreads um that means
[45:20] that the market is not really confident
[45:22] in their ability to get paid back. They
[45:24] need to be compensated more.
[45:26] It's not it's not like risk- free like
[45:28] oh yeah all all these hyperscalers are
[45:30] good for it. They'll get me back because
[45:33] it's super obvious how they're going to
[45:34] produce a bunch of profits and make me
[45:36] whole.
[45:39] And I'll tell you guys this, it's gonna
[45:41] take one of these companies like a
[45:44] Facebook or a Microsoft to come out and
[45:46] say maybe all this spend isn't a great
[45:48] idea.
[45:50] Maybe we shouldn't just be like
[45:52] degenerately
[45:53] plowing our profits and taking on debt.
[45:55] Like we might have gone over our skis.
[45:58] We might have gone from like incredibly
[46:01] profitable cash flow king to like a
[46:03] levered highly indebted like AI and now
[46:06] like we didn't realize China is as good
[46:08] as they were. I first of all I don't
[46:10] know how people got blindsided by that.
[46:12] I again like who am I to be calling this
[46:15] before everybody else. It's bizarre. Um
[46:17] whatever. I don't know. Bitcoin
[46:19] Bitcoiners have a way of I don't know
[46:21] our worldview is is a superpower. I
[46:24] don't know what it is. Um Bitcoiners
[46:26] also called COVID first. I don't know.
[46:28] weird. Anyway, um
[46:32] yeah, so I mean these credit spreads
[46:34] widening are telling me that the market
[46:36] is starting to figure out everything I'm
[46:38] saying. They're starting to call
[46:39] [ __ ] and like hold on a second. How
[46:43] is everyone going to get paid back? And
[46:45] the reason, again, guys, this is
[46:46] important is when you got trillions and
[46:48] trillions of dollars that are like,
[46:50] well, hold on a second. Maybe our money
[46:52] isn't best invested in all of this
[46:56] stuff. Um, there might be better, safer
[46:59] ways for us to preserve capital. Where
[47:02] does it go?
[47:04] And I think Bitcoin's going to catch an
[47:06] enormous, enormous bid because there's
[47:09] been so much misallocation of capital
[47:12] into this buildout. And I'm again, you
[47:14] got to divorce the two. Does that mean
[47:16] AI is a bubble and it's all a fad and
[47:18] we're all going to have to uninstall
[47:19] Chat GBT? That's not what I'm saying.
[47:22] That's not what I'm saying at all. AI is
[47:23] here to stay. But there's been trillions
[47:26] of dollars that have been misallocated
[47:28] and either need to be bailed out,
[47:29] smoothed over. The US either needs to
[47:33] tip their king and resign the AI race or
[47:36] they need to start subsidizing it and
[47:38] financing it. And doesn't surprise me
[47:40] that the Trump administration's in bed.
[47:42] Open AI is the weakest link, by the way.
[47:44] It's the weakest link. It's the furthest
[47:46] thing from profitability. It's got the
[47:47] most debt. It's got the most promises.
[47:49] Um and and and that's the other thing is
[47:53] the these these pools of money are so
[47:55] intertwined that it takes one of these
[47:57] guys to blow up to blow the whole thing
[47:58] up.
[48:02] So it's getting really interesting. It's
[48:05] it's still far too early. I'm not saying
[48:07] that this new Chinese model is blowing
[48:10] everything up and everyone's going to
[48:14] All I'm saying is I spent months saying
[48:17] the same [ __ ] about AI and a lot of
[48:20] people are like, "You're nuts, dude.
[48:21] What are you you think China is going to
[48:23] be able to compete with Silicon Valley?"
[48:25] Like, yeah, dude, I am. Like, call me
[48:28] crazy, but you cannot just print dollars
[48:31] for decades and do [ __ ] all and then
[48:34] expect to be competitive with the people
[48:36] that have been productive for the world.
[48:40] I'm telling you, it's going to be a
[48:42] wake-up call for us.
[48:45] So I I I do think the markets in the
[48:48] world is starting to warm up to this
[48:50] idea of like and I'll tell you what,
[48:52] what about all the foreign capital
[48:54] that's invested in the US stock market
[48:56] just trying to get AI exposure and they
[48:58] realize hold on maybe we're overweight
[48:59] on this whole AI trade cuz like yeah
[49:02] it's a good technology trend but who's
[49:04] going to be the winner and how are we
[49:05] all going to get paid back? They start
[49:07] pulling money out of the US stock market
[49:09] and stocks start to slip a little bit.
[49:10] The NASDAQ has been incredibly weak
[49:12] recently. I'm just telling you guys this
[49:15] not the world's not going to work like
[49:17] this giant like oh this is a 2008
[49:19] financial crisis we're going to wake up
[49:20] Lehman Brothers is down it's not what
[49:22] I'm saying what I'm saying is Bitcoin
[49:26] just when everyone's counting out
[49:27] Bitcoin why would you buy Bitcoin when
[49:29] you can invest in AI what is like that
[49:32] question within itself is the most
[49:33] moronic stupid dumb like you need to go
[49:37] back to kindergarten
[49:39] all I'm doing is asking very basic
[49:42] questions like hold Why is a why is a
[49:45] physical almost like a real estate
[49:47] business the way that they are borrowing
[49:50] money to build out physical like real
[49:52] estate like land sites chips? Why is a
[49:56] real estate business trading like a
[49:57] software business? Why is a business
[49:59] that's never ever produced a profit and
[50:02] isn't remotely close to producing
[50:03] profit? Why is everyone assuming that
[50:05] they're going to pay everybody back with
[50:07] what money?
[50:10] H how how are those groundbreaking
[50:13] questions?
[50:15] It's it's fascinating that Bitcoin has
[50:18] brought about just like very simple
[50:20] common sense logic to the world.
[50:23] It's crazy. Oh, you're a business be
[50:26] profitable. Super simple.
[50:31] Crazy. Crazy. So, we'll see. I continue
[50:34] to believe that this is immensely
[50:36] bullish for Bitcoin cuz this to me just
[50:38] it it reminds me of different parts of
[50:40] history. I mean look up how the
[50:41] railroads were built. Look at how fiber
[50:43] optic was laid. Look at how the dot
[50:45] infrastructure was built. The point is
[50:47] all of this stuff was successful. We
[50:49] still have railroads. We still use the
[50:51] fiber optic infrastructure. We obviously
[50:53] still have the internet. Um so all the
[50:55] technology was successful but many many
[50:56] many many investors lost money. And this
[51:00] goes back to the point I was I was
[51:01] making earlier. Like
[51:04] I don't consider myself an investor. I
[51:07] own very specific things like equity in
[51:10] my businesses which I don't necessarily
[51:12] consider an investment. It's just I'm
[51:14] owning the future of my work. I'm owning
[51:18] like if I I I have a claim on the
[51:20] productivity and value that I produce
[51:22] for society. And then outside of that I
[51:24] own Bitcoin and that's it.
[51:27] I don't want to like listen there are
[51:29] great investors out there and investing
[51:32] like is valuable to society. I'm not
[51:33] saying no one should be an investor but
[51:35] it's not like for me n no no no no no
[51:39] like I need to get to know the
[51:40] leadership team and understand the
[51:42] products and dig into the filings and
[51:44] say okay well you know they their their
[51:46] profit could grow to this by the year
[51:48] 2030. Yo hear me on this. [ __ ] that.
[51:53] [ __ ] that. What are we doing?
[51:56] No, no, no, no, no, no. Earn more than I
[51:59] spend. Saving in Bitcoin. Enjoy life.
[52:02] That's what I do. You got me [ __ ] up.
[52:05] I'm gonna spend my uh football Sundays
[52:08] trying to understand what cash flow for
[52:09] a business will be in the year 2035. And
[52:12] by the way, everybody thinks that that's
[52:14] what all these investors are doing.
[52:15] They're like, "Yeah, and that's why my
[52:16] hedge funds returning 8% kagger." It's
[52:19] like, "No, dude. Your your stock
[52:21] portfolio is up because they keep
[52:22] printing money. your stock portfolio
[52:24] measured in gold or in Bitcoin is down.
[52:28] So, you don't actually know what their
[52:29] cash flow will be in the year 2035.
[52:32] You're justifying this profession.
[52:35] You're just we're all beneficiters of
[52:37] the money printer as long as you can own
[52:38] assets. But you're not outperforming
[52:41] Bitcoin. That's the other funny thing
[52:42] about this stuff is all I do is try and
[52:45] do valuable [ __ ] for other people,
[52:47] ensure that I'm consuming less than I'm
[52:49] earning, and I save it in Bitcoin. And
[52:50] somehow I'm the best performing hedge
[52:52] fund all in this [ __ ] world. How is
[52:56] that possible? Over the last 14 years,
[52:58] nobody's outearned my hedge fund, which
[53:00] has just been staying humble and
[53:01] stacking SS.
[53:03] Keep it simple, guys. Keep it simple.
[53:06] Um, so the end of my AI section, can AI
[53:09] change the world while becoming one of
[53:11] the largest episodes of capital
[53:12] misallocation in human history? I I keep
[53:15] a close eye on this. And again,
[53:17] Bitcoin's an exit door. things like
[53:19] Bitcoin, gold are, you know, everyone
[53:21] runs towards the exits. Um, and so I
[53:25] think it's all everything's bullish for
[53:27] Bitcoin because now Bitcoin will
[53:28] there'll be so much Bitcoin education of
[53:30] like, wait a second, AI equities and
[53:32] Bitcoin weren't competing this whole
[53:34] time. No, of course not. On what planet
[53:36] were they competitive? One is money with
[53:38] an enforcable fixed supply and the other
[53:42] I tried to tell you guys you're taking
[53:44] risk on Sam Alman. Like, at what point
[53:48] was that not implied and understood?
[53:51] Have you lost your [ __ ] mind? The guy
[53:54] has no plans of producing a profit.
[53:56] Nobody knows his backstory. He's he's
[53:59] launching WorldCoin that's scanning your
[54:01] retina. They're talking about how open
[54:04] source is bad.
[54:07] The lead strategist of Open AI said
[54:10] China is communist for having open-
[54:12] source AI. What? You're taking
[54:15] counterparty risk with these guys.
[54:18] Sorry, you should have just bought
[54:20] Bitcoin. And I think over time the world
[54:23] will learn that. And [clears throat]
[54:24] there'll have to be money printing.
[54:26] There'll have to be bailouts. There'll
[54:27] have to be yield curve control. And I
[54:29] think all of the people gloating and
[54:31] showboating that they were AI equity
[54:33] investors and they're not buying
[54:34] Bitcoin.
[54:38] We'll see who's on the right side of
[54:39] history of that one. Good luck getting
[54:40] paid back by people that don't make any
[54:44] money. Um, again, it's a kindergarten
[54:47] level of understanding here. Uh, and and
[54:51] there [clears throat] are, don't get me
[54:52] wrong, there are people that have made
[54:55] money in all the AI investing, but you
[54:58] make money by buying low and selling
[55:00] high. So, you're a perpetual bag seller.
[55:02] All these junkies, all these VCs and
[55:04] these bag selling junkies, they're
[55:06] itching themselves like they buy a bag.
[55:08] They're when's when's the next up round?
[55:10] When's the next up round? I need to mark
[55:11] up my investment and tell my LPs and
[55:13] they're itching themselves like, "Hey,
[55:14] hey, hey, hey, hey, hey. Are you
[55:16] providing liquidity? Can I get some
[55:18] secondary? Hey, hey, hey." It's like
[55:19] these bag junkies. So, it's a game of
[55:21] hot potato. It's who can sell the last
[55:23] bag? Who's caught holding the bag?
[55:26] Again, you guys want to play that game?
[55:28] You could go do whatever the [ __ ] you
[55:30] want. I But for me, I'm not playing. I
[55:33] don't want to play that game. What type
[55:36] of sane human being wants to play heroin
[55:40] addict VC bad junkie hot potato?
[55:43] I want to watch football, watch the
[55:46] World Cup. I want to get married. Um I
[55:48] just officiated my buddy's wedding over
[55:50] the weekend. Like I don't want to be
[55:52] stressed out of like, "Hey, hey, hey,
[55:54] hey, hey, hey." Um Open AI turned off.
[55:58] Um, remember when OpenAI turned off the
[56:00] secondary markets, guys? Why do you
[56:02] think they did that? They don't want the
[56:05] market actually valuing their company.
[56:07] They want their valuation to come from
[56:09] Soft Bank or from all of their buddies
[56:12] so that they can refinance their debt.
[56:15] It's it's a very carefully crafted game
[56:17] of sell the next bag to the junkie.
[56:20] Stay humble and stack stats, man. I'm
[56:22] trying to tell you. All right, let me
[56:23] get through uh chapter two. Just
[56:25] checking on the markets. Don't want to
[56:26] do an episode without it. Um, the
[56:28] biggest headline from last week is this
[56:29] Philly Fed manufacturing index. So,
[56:32] here's a quick TLDDR on this because I
[56:34] don't want this episode to drag too
[56:35] much. This thing never prints above 40.
[56:38] Um, so, as you can see, and and I'll
[56:42] voice over for everybody that uh is
[56:45] listening through the podcast waves, uh,
[56:48] the tweet reads, uh, July Philadelphia
[56:50] Fed manufacturing index is up to plus
[56:53] 41.4 4 versus the plus 12 a.5 estimate
[56:56] and 10 and a half 10.3 prior. Highest
[57:00] headline reading since November 2021. We
[57:02] all knew back then what that was. That
[57:05] was the top tick of the Bitcoin market
[57:07] with new orders surging to plus 37,
[57:10] shipments up to plus 33.7 and employment
[57:13] up to plus 10. Um so the point is this
[57:17] thing's never above 40. last time was
[57:19] during that peak COVID bonanza. And
[57:22] usually when this thing is at these
[57:25] levels, the Fed has to hike rates. And
[57:28] so this chart was posted by Luke. This
[57:30] is the US 10-year yield charted over
[57:34] this uh Philly Fed uh manufacturing
[57:37] index. And when this thing goes up, so
[57:39] do yields because it's presumably uh
[57:42] highly highly highly inflationary. Well,
[57:44] the indicator is is is assuming lots and
[57:47] lots and lots of inflation, lots of
[57:49] growth, lots of hot hot hot, and the Fed
[57:52] has to cool it down and raise rates. And
[57:54] mind you, that's what Jerome Powell did.
[57:55] November 2021, this thing printed above
[57:58] 40. We got the fastest rate hike that
[58:00] we've ever seen. Um, and that was during
[58:02] times of extremely hot inflation prints,
[58:05] right? And so, uh, what did the markets
[58:08] look like today? Uh, number go up, yield
[58:10] edition. 10-year yield up, 30-year yield
[58:12] up, 2-year yield up. And this is all on
[58:15] the back of what was a miracle inflation
[58:18] slowing print in June. Remember the last
[58:21] episode I was like, inflation is down
[58:23] all of a sudden, which I told you guys
[58:25] Worsh is not going to hike rates over my
[58:27] dead body. You got to be [ __ ] kidding
[58:29] me. And the point it remains the same.
[58:32] People say, "Oh, but Jack, what about
[58:34] the 1970s?" Or, "What about No, guys,
[58:36] guys, guys, guys. There's one thing that
[58:38] matters. The debt levels,
[58:41] the debt levels matter. That's not just
[58:43] like a random thing that you can decide
[58:45] to ignore if you want. When you're that
[58:48] indebted, you cannot raise the interest
[58:51] expense on that debt level.
[58:55] The 10year cannot look at the 10-year at
[58:57] 4.6. You cannot have it that way. Cuz by
[59:00] the way, guess who else this impacts
[59:02] besides the United States? People that
[59:04] want a mortgage. AI hyperscalers that
[59:06] want to borrow trillions of dollars to
[59:08] go build out data centers only to get
[59:09] their ass kicked by China that impacts
[59:12] everybody that wants to borrow money and
[59:14] and build and live have a credit card.
[59:19] So the fact that we got a plus40 print
[59:25] on the manufacturing index from the
[59:27] Philly Fed
[59:30] even a and yields continue to go up even
[59:32] after a slow inflation print because you
[59:34] assume oh slow inflation print yields
[59:36] are going to come back down the market's
[59:37] going to realize you know we're not in
[59:39] this you know hyperinflationary time. No
[59:43] yields don't give a [ __ ] The gig is up
[59:46] in my opinion. the gig is up. If they
[59:50] want to raise rates, they can, of
[59:51] course, they can do whatever they want.
[59:53] But, um, that will that will cause a
[59:58] debt spiral and send us into austerity,
[60:02] level of depression, recession. They're
[60:05] going to have to do do what? What are
[60:08] they going to have to do? Well, yield
[60:10] curve control. Like, what what have I
[60:12] tried to explain to you guys before? You
[60:14] can have the Fed print money out of thin
[60:16] air to buy the 10-year which drives
[60:18] yields down. But that's I mean you're
[60:20] literally printing money to subsidize
[60:24] the government. That's I mean that's the
[60:26] end game of fiat. It's like well then
[60:28] what are we doing here? What why would
[60:30] anyone hold D? like you'll you'll start
[60:32] to see, you know, not not overnight, but
[60:35] you'll start to see a repricing of
[60:37] things like gold, a repricing of things
[60:39] like Bitcoin of like, why am I even
[60:41] materially interested in this dollar
[60:42] thing anymore? So, we're getting to that
[60:45] point where the Fed and the US Treasury
[60:48] are going to have to start choosing the
[60:50] bond market over everything else.
[60:54] But, I mean, I thought this was awesome.
[60:56] Cool. Uh, Philadelphia Fed printed, you
[60:59] know, 41.4
[61:02] never gets this high. Okay, surely it's
[61:04] time to hike rates, right? Yeah, good
[61:07] luck. $40 trillion in debt. Good luck.
[61:10] Good luck. I call [ __ ] And this
[61:14] could be what Bitcoin is smelling. Why
[61:16] is Bitcoin at 65K? I don't know. Could
[61:19] it be that all of the AI capital is
[61:22] starting to realize no one's getting
[61:24] paid back and China is a legitimate
[61:26] competitor that no one factored in? If
[61:28] China's going to be open sourcing all
[61:30] this [ __ ] how's anyone going to get
[61:31] paid back?
[61:34] Whoops.
[61:35] And that also the Fed is caught in a
[61:37] pickle and is going to have to address
[61:40] all the all the yields that continue to
[61:42] rise. Now, is it going to be deliberate
[61:45] yield curve control or are they going to
[61:46] do a round sly out way? They're going to
[61:49] launch the ABCDE EFG program or whatever
[61:52] all these acronyms.
[61:54] I don't know. And by the way, could
[61:56] Bitcoin obviously go down? Listen, if if
[61:58] the stock market sells off 20%, if we do
[62:01] get some institution that goes under
[62:03] because of a private credit crisis or
[62:05] something like that, you know, Bitcoin
[62:06] could easily wick down in 50s, 40s,
[62:10] whatever, right? I'm not calling bombs.
[62:13] But what Bitcoin is probably I told you
[62:15] guys, Bitcoin will lead you down because
[62:17] it's the only free market. It's telling
[62:19] you the truth. It was the first down.
[62:21] Bitcoin was feeling the pain that
[62:24] everyone else is starting to feel now in
[62:26] February tells you the truth. First
[62:28] mover actual smoke alarm indicator
[62:33] and I can't tell yet, so don't hold me
[62:36] to it, but we'll keep checking on
[62:37] Bitcoin. I mean, it's healthfully
[62:39] grinding its way higher amidst all of
[62:43] the problems that AI and equities and
[62:46] and uh the Fed is starting to run into.
[62:49] It's really interesting. It really,
[62:51] really is. It really, really is.
[62:54] Um,
[62:56] okay. Uh, grind my gears. Try and make
[62:58] this one quick. It's kind of related to
[63:00] earlier, but I saw this from
[63:04] uh New York. Uh, the mayor of Madami. He
[63:06] hosted uh
[63:09] I forget what it was called, like a
[63:10] housing a housing speech or something,
[63:14] but basically, I mean, this headline to
[63:16] me says it all. uh Mandani plan would
[63:20] force landlords to pay for credit checks
[63:23] as activists rails that eviction is
[63:25] violence.
[63:28] And on the back half of what happened in
[63:30] Illinois where there was a proposal to
[63:34] just say, "Oh, you have Bitcoin in cold
[63:36] storage. Yeah, we're just going to start
[63:37] taking that shit."
[63:40] And now evicting
[63:43] someone from your property that isn't
[63:44] paying rent is violence.
[63:49] I mean, guys, property rights in America
[63:51] is starting to be undermined is maybe
[63:54] the polite way of saying it, but just
[63:55] threatened.
[63:58] Why would I own real estate in New York?
[64:01] It's violent for me to say, "Hey, you
[64:04] got to leave if you're not paying rent
[64:06] and you're going to start burdening me
[64:08] with costs to say, is this person
[64:10] actually going to pay me or are they
[64:12] going to run to the government and say,
[64:14] "Fuck me and [ __ ] my property rights."
[64:16] It's just bizarre.
[64:19] It's bizarre. It's really, really
[64:21] concerning.
[64:24] It's really concerning. And I think
[64:26] we're going to continue to see. I mean,
[64:27] I know the UK is losing millionaires
[64:29] like no one's business. Um, I know
[64:32] Chicago is. I know New York is. I know
[64:34] California is. I think Texas, I mean,
[64:37] Texas, Texas is going to be running like
[64:39] a $50 billion surplus as a state.
[64:43] I know Miami real estate is like the
[64:45] best performing real estate in the
[64:46] world.
[64:49] It's really concerning if we don't have
[64:52] property rights was foundational in the
[64:54] foundings of America.
[64:57] This is it's terrifying. It's bizarre. I
[64:59] can't wrap my head around how anyone can
[65:02] reasonably say that evicting someone for
[65:05] not paying rent is violent.
[65:09] And the reason I wanted to put it in
[65:11] this show as grind my gears is this is
[65:14] another bullcase for Bitcoin cuz at the
[65:16] margins are you going to buy real estate
[65:18] as an investment or as a form of savings
[65:21] or buy Bitcoin? Because I tell you what,
[65:24] Mandani can't do [ __ ] about my sats in
[65:27] cold storage.
[65:30] He could go [ __ ] himself.
[65:33] The problem is real estate. You're a
[65:35] sitting duck. They're going to raise
[65:37] real estate taxes. They're going to just
[65:39] slowly take that [ __ ] from you. You're
[65:42] going to provide housing for people. And
[65:44] if those people don't pay you, tough
[65:46] [ __ ] Deal with it. What? Why would
[65:50] anybody buy real estate?
[65:55] So I guys it is is very concerning.
[65:59] California, Illinois, New York, the
[66:02] undermining of property rights, the
[66:04] attack on wealthy people is bizarre or
[66:08] or property owners. Like if you own
[66:11] property, you're an [ __ ] If you
[66:13] produce profit, you're an [ __ ] It's
[66:16] really bizarre.
[66:18] Um I I just I don't know. I like to be
[66:21] honest with you and I'm and I might be
[66:22] preaching just at a wall here because
[66:26] all my listeners probably agree with me.
[66:28] Maybe some don't. I don't I don't know.
[66:30] Um well I'll sure we'll learn. Sure.
[66:32] We'll check the comment section and and
[66:34] if it's angry in a riot that you know
[66:36] rent rent needs to be subsidized and
[66:38] free. If you own property it's your job
[66:42] to subsidize and pay for other people to
[66:44] live in it. I mean hold I can't even say
[66:47] that out loud without just mincing. Have
[66:49] people lost their [ __ ] mind?
[66:53] But again, if listen, property rights,
[66:57] if you need the government to enforce
[66:59] your property rights, then they're not
[67:01] then it was always a rented right. It
[67:04] was always a rented right. And when push
[67:06] comes to shove, if you're going to get
[67:07] enough political infighting and
[67:08] political violence, um, and you know,
[67:11] you've got rise in socialism, uh, and
[67:13] you're so indebted. The reason Illinois
[67:16] needs my Bitcoin is because they need
[67:19] they can't pay their bills any other
[67:20] way. They're just going to start taking
[67:22] your [ __ ] Pensions are underwater.
[67:25] Things need to get funded. Here's a
[67:27] proposal. Oh, those people have stuff.
[67:30] Yeah, we're just going to take it from
[67:31] them.
[67:33] And so if property rights needs to be
[67:36] enforced physically as opposed to
[67:39] politically, Bitcoin, there's no better
[67:41] asset than Bitcoin. Bitcoin is like the
[67:44] only pure form of property rights. I've
[67:46] said this before, but listen to how good
[67:49] Bitcoin is at enforcing property rights.
[67:51] If I have a house, so this house I'm
[67:53] sitting in right now, and someone wants
[67:55] to take my house, they can walk in here,
[67:58] put a bullet or put a gun to my head and
[68:00] put a bullet through my brain, and they
[68:03] get the house cuz I'm dead. And now it's
[68:06] their house. Same with gold. If I have a
[68:09] vault of gold and someone wants my gold,
[68:11] they can physically harm me, get me out
[68:13] of the way, and physically take my gold.
[68:15] Now, if I have 12 words that represent
[68:19] Bitcoin in my brain,
[68:22] the only way to guarantee that you don't
[68:25] get the Bitcoin is by killing me.
[68:28] Because then, I mean, I'm dead. I can't
[68:31] tell you the 12 words. You strategically
[68:34] have to keep me alive if you actually
[68:36] want the Bitcoin someday.
[68:38] So it is the property rights that
[68:40] Bitcoin allows for all of us is so
[68:43] severe and it is protected physically.
[68:48] You're incentivized
[68:50] to take care of me.
[68:52] You harm me, the Bitcoin is gone.
[68:57] So I I just think that the this is
[69:00] another thing to keep an eye on. One, I
[69:02] mean this is a disgrace. It's
[69:03] disgusting. If we don't have property
[69:05] rights in America, what do we have? But
[69:07] it's another bull Bitcoin. I mean, the
[69:09] combination of, you know, AI
[69:13] is
[69:15] it's concerning. How's everyone going to
[69:17] get paid back? Is this the right place
[69:18] to be placing all this investment?
[69:20] Should we take a look at Bitcoin? Is the
[69:22] marginal um investor or speculator going
[69:25] to start taking a look at Bitcoin?
[69:27] because it's the math isn't mathing with
[69:29] AI and the combination of that and
[69:32] property rights being violated
[69:34] throughout the United States in certain
[69:36] states. I mean, I think that's bullish
[69:38] Bitcoin. I think it's really, really
[69:40] bullish Bitcoin. The next time someone
[69:42] decides between Bitcoin and real estate
[69:44] in New York, I mean, that decision was
[69:46] just made for them. Real estate in New
[69:48] York is not yours.
[69:51] Why would you buy it? I'd rather rent.
[69:54] I'd rather rent, miss my rent, and then
[69:56] not be able to get evicted. Honestly, I
[69:58] might move to New York and just like not
[70:00] pay rent. [ __ ] it. I mean, this is
[70:03] ridiculous. What a clown world. Stay
[70:05] humble and stacks.
[70:09] Um, okay. Uh, strike updates. Uh we're
[70:14] about to hopefully start testing um our
[70:18] interest on cash our uh um giving you
[70:22] guys some interest on your idle cash on
[70:23] the platform. So we're really excited
[70:25] about that amongst a bunch of other
[70:26] things. We're launching inheritance this
[70:27] month which is really exciting. So um
[70:30] like I said uh we should have some next
[70:34] episode should be a bit bigger. Um I got
[70:37] no Dylan uh today so no real Q&A uh this
[70:41] week. I'm going to check the chat. I
[70:42] don't want to leave you guys super
[70:44] hanging, but um [clears throat] it's
[70:45] just too hard. Obviously, I can't be
[70:47] writing down questions while I'm
[70:48] speaking. So, no Dylan is tough. Um
[70:51] shorter episode, but uh lot going on in
[70:54] a good way. Um but Strike Strike
[70:56] continues to hum along. We we're
[70:58] launching, you know, feature or two a
[71:00] week. Uh continuing to grow despite the
[71:03] bare market. Really proud of the
[71:04] business. Uh and the big next really big
[71:08] few things are uh beneficiaries
[71:11] uh that you can add to your account,
[71:13] inheritance, all of that good stuff. Um
[71:16] and we uh will give you uh some interest
[71:20] on your idle cash on the platform which
[71:22] I know you guys are really excited
[71:23] about. Um okay,
[71:26] let's check
[71:30] uh the chat.
[71:34] The Chicago Bears still suck. That's
[71:37] true. That's true. All right, I'll tell
[71:38] you what. I'm just going to make this
[71:39] one a shorter episode. Um the chat is
[71:42] ruthless, you guys. It's a danger zone
[71:44] to go in there. Uh and uh it'll it'll
[71:47] make the end of this a little too messy.
[71:49] Um I got to wait. There's a lag. Uh it's
[71:52] just not going to be worth it. Um so
[71:54] we'll we'll make sure we do Q&A next
[71:55] week. I have a feeling next week will be
[71:57] uh will be uh a big episode. So with
[72:01] that, uh I'm out of here. Thanks for
[72:03] listening. Give me feedback on the AI
[72:05] stuff. Do you guys find it interesting?
[72:06] Do you find it relevant? Are you
[72:07] learning? Uh if not, it'd be good to
[72:09] know. Um and we'll keep a eye on
[72:11] markets. I mean, summers are usually
[72:13] boring. Um don't expect the world to
[72:15] change tomorrow. Um but with the World
[72:18] Cup over and and that that matters
[72:21] actually. The World Cup is over. Um
[72:23] people are back at their desks. Market
[72:24] is markets are starting to move. Things
[72:25] are starting to shake and happen. Um and
[72:28] we're already halfway through summer, at
[72:29] least how we counted in Chicago. So
[72:31] before you know it, um, capital might
[72:35] might start rotating a little bit. We
[72:36] got midterms coming up, so might be time
[72:38] to start paying attention. Keep those
[72:40] DCAs on. Stay humble. Stack sacks. Uh,

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