Anthony Pompliano

Bitcoin & AI Will DOMINATE The Next Rotation

🇬🇧 EN🇪🇸 ES
AIBitcoinMacro
52:49 min youtube 2026 Week 19 🇬🇧 EN

TL;DR

  • Bitcoin (BTC) is positioned to dominate the next rotation, acting as a hedge against devaluation and succeeding in both inflationary and AI-driven deflationary scenarios. A sustainable move may start if BTC trades above $76,000 and ETH is above $2,400.
  • The AI revolution is fundamentally disrupting traditional code-based software businesses, leading to a structural shift where hardware, semiconductors, and commodities are favored over legacy software/private credit.
  • Investors should focus on nimble, small private companies and specific hardware names (e.g., Nvidia) benefiting from massive AI capital expenditures, while remaining skeptical of traditional large caps.

Summary

YouTube: https://www.youtube.com/watch?v=urhiMNIk27Q  |  Duration: 52 min

â—† Introduction & Macro Thesis

The speaker posits that a sustainable market move this year hinges on specific technical levels: Bitcoin trading above $76,000 and Ethereum being above $2,400. Given persistent high inflation and the absence of an anticipated recession (driven by massive AI demand), investors are urged to seek assets outside of stagnant S&P performance. The discussion covered recent inflation data with Jordi Visser, contrasting scarcity versus abundance trading strategies, and differentiating between software stocks and pure AI stocks.

â–¶ Market Outlook Amid Geopolitical Shifts

Markets are rallying following the Iran war ceasefire, though a tempered expectation is advised. Continuous market rotation is expected throughout the year due to mispositioning regarding artificial intelligence. Despite high inflation projections potentially reaching 6% and zero anticipated rate cuts, no recession is foreseen because of overwhelming AI demand. The core investment thesis favors long positions in hardware, semiconductors, and commodities. Conversely, the speaker identifies software and private credit as potential short opportunities, maintaining this structural view driven by AI disruption.

★ The Fundamental Shift: AI vs Software

The speaker clarifies that AI is not merely a type of software but a massive disruptive force against existing code-based businesses. AI has made coding virtually free and ubiquitous, enabling AI agents to rapidly turn an idea into a functional application or competitor in minutes. This capability challenges established industry leaders like Salesforce. Consequently, the entire software sector is undergoing repricing due to this fundamental shift in development cost and speed. Even companies not strictly classified as SaaS, such as Palantir, face valuation pressure from the long-term threat of AI disruption.

â–º Current State of AI Adoption

AI usage is currently split between casual users (treating it as a search engine replacement) and advanced practitioners utilizing agentic technology. The speaker notes that most people fall into the superficial category, despite rapid technological progress. True utilization requires curiosity and an entrepreneurial drive to build things rather than just asking chatbots questions. This limited adoption may reflect broader societal issues regarding education and software design, as these systems often train users to seek quick answers instead of engaging in deep creation.

★ Access, Costs, and Risks of Advanced AI

Access to powerful models like Mythos from Anthropic is not democratized but selectively granted to cybersecurity experts and major enterprises. These advanced models pose significant hacking risks, necessitating urgent meetings with bank leaders before true AGI arrives. Economically, the high usage of LLMs drives companies to struggle with margins due to soaring compute costs. The insatiable demand from digital employees creates a shortage, driving up prices and putting immense pressure on AI developers who are racing to innovate. Companies are actively seeking solutions, such as partnerships with Google, to secure necessary computing power.

â—† Investment Opportunities in the AI Supply Chain

Massive AI demand is fueling significant investment opportunities across the technology supply chain, exemplified by Anthropic's parabolic revenue growth. The current shortage of compute capacity highlights critical needs in semiconductors and related infrastructure like advanced packaging and optical fibers. While there was a previous over-investment in memory, the market now faces an under-investment cycle presenting new chances for investors. Despite general "bubble talk," experts advise against fading the semiconductor move because AI growth is accelerating into the agentic world. Investors should focus on hardware names such as Nvidia, Dell, HPE, and Corning.

â–¶ Small Caps, Private Markets, and AI Threat

The speaker argues that while small caps offer explosive opportunities and risk, mature large cap companies are also growing rapidly in certain sectors. However, he is skeptical about public company returns over the next decade, favoring non-public or international markets instead of traditional large caps. Hyperscalers, for instance, are criticized for having negative free cash flow and facing margin compression from competitors. The major advantage lies with nimble, small private companies rather than established public firms. Furthermore, the rapid acceleration of agentic AI poses a significant threat to knowledge workers due to autonomous models' ability to replicate and self-learn.

★ The Reality of Inflation and Affordability

The discussion highlights the tension between official low core inflation figures and rising consumer affordability issues. While trueflation shows relatively low underlying inflation, headline CPI is increasing due to soaring food and gas prices. Wages are stagnant or falling below 4%, creating a risk of negative wages if overall inflation exceeds five percent. Commodity costs like diesel and jet fuel are rising rapidly due to supply constraints and underinvestment. This combination of affordability pressure and job insecurity is expected to be a major factor in upcoming political elections.

â—† Bitcoin's Unique Macro Position

Bitcoin is viewed as a unique asset safe from AI disruption because it is built on code and lacks competitors. It has recently broken its historical correlation with software, beginning to trade more like a risk asset aligned with the S&P. Historically, peak returns for Bitcoin occur when the Fed holds or cuts rates while real yields are negative. Upcoming CPI data suggests this favorable regime is imminent, as inflation will likely exceed three-month interest rates. Geopolitical instability and high emerging market inflation increase BTC's attractiveness as a hedge against currency devaluation.

â–¶ Bitcoin's Resilience Across Economic Scenarios

Bitcoin is uniquely positioned to succeed in both inflationary environments and deflationary scenarios driven by AI disruption. While traditional growth assets are viewed skeptically due to AI’s impact, Bitcoin is expected to experience a major move driven by technological disruption. Currently, few code-based assets are performing well, making Bitcoin's potential breakout from software trends critical to watch. The speaker reiterates that a sustainable upward move could begin if BTC trades above $76,000 while ETH remains above $2,400.

★ Volatility Compression and Earnings Warnings

Bitcoin volatility has compressed significantly from 80-90% down to around 35-40%, leading to smaller drawdowns than seen in past cycles. The speaker questions if this compression shortens the timeline of bear markets, suggesting market movements may accelerate when they do occur. A major warning concerns upcoming earnings season for software companies: if good news fails to drive stock prices up, or if signs of AI adoption appear in their financial numbers, those stocks could be severely punished.

â—† Global De-Dollarization Trend

Reports of entities like the IRGC demanding payment in Bitcoin signal a significant shift away from reliance on the dollar. This trend indicates that global perception and utility of the US dollar are changing dramatically. Geopolitically, this reflects broader questioning of traditional political structures. The speaker believes that if inflation remains high and global rates rise, the dollar will weaken substantially, making Bitcoin an increasingly neutral alternative rather than strictly a reserve currency.

â–¶ Final Outlook and Actionable Insights

While sentiment supports the current positive outlook for AI, true market shifts depend on widespread daily adoption. Meaningful AI usage involves agentic applications, CLIs, and building things, not merely using it as a chatbot. Until this deeper engagement occurs, investments in semiconductors and energy remain favorable, as the world is still in the early stages of the "agentic world."

🚀 Key Investment Actions

  • Focus on Hardware: Prioritize hardware names like Nvidia, Dell, HPE, and Corning due to massive AI capital expenditures.
  • Seek Private Opportunities: Favor nimble, small private companies over established public firms, especially in non-public or international markets.
  • Monitor BTC/ETH Levels: Watch for the sustainable upward move beginning if Bitcoin trades above $76,000 and Ethereum remains above $2,400.

⚠️ Critical Market Warning

Be highly cautious regarding the upcoming earnings season for software companies. If these firms fail to demonstrate that good news is driving stock prices up, or if signs of AI adoption are not reflected in their financial numbers, they face a severe punishment.

â—† Search for the alpha

The core investment thesis is a structural rotation away from code-dependent businesses toward physical scarcity and foundational infrastructure. The speaker views AI not as an upgrade, but as a disruptive force that fundamentally reprices entire software sectors, necessitating capital flow into the hardware supply chain and non-correlated assets like Bitcoin to hedge against systemic risk.

  • Real Capital Rotation: Strong long positions are favored in commodities, semiconductors, and industrial hardware (benefiting from massive AI CAPEX). Conversely, explicit short opportunities are identified in software companies and private credit.
  • Best Expression of the Theme: The primary investment focus should be on the compute capacity bottleneck—semiconductors, advanced packaging, and optical fibers—as this is the critical choke point driving current demand and pricing power.
  • Avoidance/Risk Warning: Investors are cautioned against traditional large-cap hyperscalers due to margin compression and negative free cash flow, preferring nimble, small private companies or international markets over established public firms.
  • Catalyst Regime Change (Bitcoin): A sustainable upward move for Bitcoin is contingent on it trading above $76,000 while Ethereum remains above $2400, coinciding with a favorable Fed regime (rates held/cutting while real yields are negative).
  • Time Horizon / Invalidation: The market remains in the early stages of "agentic AI" adoption. A major warning is issued regarding upcoming earnings season for software stocks; failure to show positive signs of AI adoption could lead to severe stock punishment.
Asset Signal Reading
Nvidia, Dell, HPE, Corning Long Direct beneficiaries of massive industry capital expenditures in hardware and infrastructure.
Software/Private Credit Short Opportunity Facing repricing due to AI's ability to automate coding and create competitors rapidly.
Bitcoin (BTC) Strong Long Unique asset safe from code disruption, positioned to succeed in both inflationary and deflationary scenarios.
The twist: The speaker is implicitly arguing that the current market narrative fixates too heavily on "AI" as a software trend, missing the true alpha. The real value lies in the physical scarcity of compute power (hardware) and Bitcoin's role as a non-code asset hedge against the systemic risks posed by global inflation and geopolitical instability.

â–º Chapter Summaries

Intro (0:00)

The speaker suggests that a sustainable market move this year may begin if Bitcoin trades above 76,000 and Ethereum is above 2400. He believes inflation will remain elevated and there will be no recession, prompting investors to seek assets outside of stagnant S&P performance. The conversation with Jordi Visser covers the latest inflation data and discusses scarcity versus abundance trading strategies. They also explore the distinction between software stocks and AI stocks. Furthermore, they analyze Bitcoin's current strong performance and review specific historical data on when Bitcoin tends to perform best.

Iran war, markets & current outlook (0:50)

Markets are rallying following the Iran war ceasefire, but a tempered expectation is advised for the current outlook. The speaker expects continuous market rotation throughout the year due to mispositioning regarding artificial intelligence. Despite high inflation projections potentially reaching 6% and zero expected rate cuts, no recession is anticipated because of massive AI demand. The core investment thesis remains focused on hardware, semiconductors, and commodities for long positions. Conversely, software and private credit are identified as short opportunities. This structural view emphasizing AI disruption is expected to persist throughout the year.

AI vs software (what’s the difference?) (3:22)

The speaker clarifies that AI is not simply a type of software but a massive disruptive force against existing code-based businesses. Artificial intelligence has made coding virtually free and ubiquitous, enabling AI agents to rapidly turn an idea into a functional application or competitor within minutes. This capability means that startups can now create highly competitive products, challenging established industry leaders like Salesforce. Consequently, the entire sector built on software is undergoing repricing due to this fundamental shift in development cost and speed. Even companies not strictly classified as SaaS, such as Palantir, are facing valuation pressure because of the long-term threat of AI disruption. This trend implies that every business reliant on code must adapt or face significant market changes.

Who is actually using AI today? (5:43)

AI usage is currently divided between casual users who treat it as a search engine replacement and advanced practitioners utilizing agentic technology. The speaker observes that most people fall into the first category, using AI superficially despite rapid technological progress. He notes it is surprising how few individuals are yet leveraging powerful AI agents for complex tasks. True utilization of AI requires curiosity and an entrepreneurial drive to build things rather than simply asking chatbots questions. This limited adoption may reflect broader societal issues regarding education and software design. These systems often train people to seek quick answers instead of engaging in the deeper process of creation.

Who gets access to powerful AI models? (9:10)

Access to powerful AI models like Mythos from Anthropic is not democratized but is being selectively granted to cybersecurity experts and major enterprises. These advanced models pose significant hacking risks, prompting urgent meetings with bank leaders as we approach a dangerous stage before true AGI. Economically, the extreme competition and high usage of LLMs are causing companies to struggle with margins due to soaring compute costs. The demand from digital employees is insatiable, leading to service limits for general users on platforms like Claude and Perplexity. This massive need for computation is creating a shortage, driving up prices, and putting immense pressure on AI developers who cannot slow down their innovation. Companies are actively seeking solutions, such as partnerships with Google, to secure the necessary computing power.

Where are the investment opportunities? (15:16)

Massive AI demand is driving significant investment opportunities across the technology supply chain, exemplified by Anthropic's parabolic revenue growth. The current shortage of compute capacity highlights critical needs in semiconductors and related infrastructure like advanced packaging and optical fibers. While there was a previous over-investment in memory, the market now faces an under-investment cycle that presents new chances for investors. Despite general "bubble talk," experts argue against fading the semiconductor move because AI growth is accelerating rapidly into the agentic world. Investors should focus on hardware names such as Nvidia, Dell, HPE, and Corning, which are benefiting from massive capital expenditures across the industry.

Large caps vs small caps (19:38)

The speaker argues that while small caps offer explosive opportunities and risk, mature large cap companies are also growing rapidly in certain sectors. He notes that despite some growth areas being related to hardware, many relevant industries like chemicals and energy consist of smaller businesses. The speaker is skeptical about public company returns over the next decade, favoring non-public or international markets instead of traditional large caps. Hyperscalers, for instance, are criticized for having negative free cash flow and facing margin compression from competitors. He believes the major advantage lies with nimble, small private companies rather than established public firms. Furthermore, the rapid acceleration of agentic AI poses a significant threat to knowledge workers due to autonomous models' ability to replicate and self-learn.

Inflation vs deflation (what actually matters?) (23:09)

The discussion highlights the tension between official low core inflation figures and rising consumer affordability issues. While trueflation shows relatively low underlying inflation, headline CPI is increasing due to soaring food and gas prices. Wages are stagnant or falling below 4%, creating a risk of negative wages if overall inflation exceeds five percent. Commodity costs like diesel and jet fuel are rising rapidly due to supply constraints and underinvestment. Although some metro areas report slight decreases in home prices, the general feeling remains that everything is prohibitively expensive for many households. This combination of affordability pressure and job insecurity is expected to be a major factor in upcoming political elections.

Bitcoin setup & macro conditions (29:27)

Bitcoin is viewed as a unique asset safe from AI disruption because it is built on code and lacks competitors. The cryptocurrency has recently broken its historical correlation with software, beginning to trade more like a risk asset aligned with the S&P. Historically, peak returns for Bitcoin occur when the Fed is holding rates or cutting them while real yields are negative. Upcoming CPI data suggests this favorable regime is imminent, as inflation will likely exceed three-month interest rates. Furthermore, global geopolitical instability and high inflation in emerging markets increase Bitcoin's attractiveness as a hedge against currency devaluation and potential pressure on the US dollar.

Why bitcoin wins in multiple scenarios (37:37)

Bitcoin is uniquely positioned to succeed in both inflationary environments and deflationary scenarios driven by AI disruption. Different investors focus on liquidity or digital disruption, but the underlying driver for holding Bitcoin remains the desire to protect value against devaluation. The asset's institutional acceptance has matured significantly over recent years. While traditional growth assets are viewed skeptically due to AI's impact, Bitcoin is expected to experience a major move driven by technological disruption. Currently, few code-based assets are performing well, making Bitcoin's potential breakout from software trends critical to watch. The speaker suggests that a sustainable upward move could begin if Bitcoin trades above $76,000 while Ethereum remains above $2400.

Bitcoin volatility & cycle timing (41:31)

Bitcoin volatility has compressed significantly from 80-90 down to around 35-40, leading to smaller drawdowns than seen in past cycles. The speaker questions whether this compression shortens the timeline of bear markets and suggests that market movements may accelerate when they do occur. He then shifts focus to software stocks within the context of AI uncertainty. A major warning concerns upcoming earnings season for these companies. If good news fails to drive stock prices up, or if signs of AI adoption appear in their financial numbers, those stocks could be severely punished.

Dollar weakness & global shifts (44:34)

Reports of entities like the IRGC demanding payment in Bitcoin signal a significant shift away from reliance on the dollar. This trend suggests that the global perception and utility of the US dollar are changing dramatically, indicating people do not want to be solely connected to it. Geopolitically, this reflects a broader change where traditional political structures and narratives are being questioned by the masses. The speaker believes that if inflation remains high and global rates rise, the dollar will weaken substantially. In this environment, Bitcoin is increasingly viewed as a neutral alternative rather than strictly maintaining its status as a reserve currency.

Future outlook for AI, bitcoin, & markets (46:31)

The speaker argues that while sentiment supports the current positive outlook for AI, true market shifts depend on widespread daily adoption of the technology. He stresses that meaningful AI usage involves agentic applications, CLIs, and building things, rather than merely using it as a chatbot. Until more people engage with AI at this deeper level, he believes the odds remain favorable for investments in areas like semiconductors and energy. This lack of deep adoption means the world is still in the early stages of the "agentic world." He also outlines upcoming content that will cover changes in inflation data since the war and provide updates on his model portfolio focusing heavily on commodities. Subscribers are encouraged to use his weekly videos for thematic ideas and technical insights across various sectors.

Generated with algorithm v1-chunked · model google/gemma-4-e4b · 2026-05-07T11:24:27Z

Transcript

[0:00] I just think Bitcoin right now, you have
[0:02] to watch it and if we start to trade
[0:03] higher and I'll give everyone a level.
[0:05] If we trade above 76,000 and at the same
[0:08] time we see Ethereum above 2400, I
[0:11] believe that is the beginning of a move
[0:13] that will be sustainable this year
[0:15] because I don't think we're going to
[0:16] have a recession. I think inflation is
[0:18] going to stay elevated and I think
[0:20] people are going to need to find
[0:21] something that is making money in a
[0:22] world where the S&P is not moving
[0:24] anywhere. What's going on guys? In
[0:25] today's conversation with Jordi Visser,
[0:27] we go over all of the latest inflation
[0:29] data, what's going on with scarcity
[0:31] trade, abundance trade, how he's
[0:33] thinking about the difference between
[0:34] software stocks and AI stocks, how he's
[0:36] seeing Bitcoin and why it's starting to
[0:38] perform pretty well, and he's going to
[0:39] drop some alpha, some data that he went
[0:41] and he pulled as to when Bitcoin does
[0:43] best and why right now may be a time to
[0:45] start paying attention. All that much
[0:47] more in my conversation with Jordi
[0:49] Visser.
[0:50] Jordi, the Iran war seems to have a
[0:52] ceasefire and markets are rallying.
[0:54] Everyone seems to be very excited that
[0:56] this thing is going to be over. I think
[0:57] maybe you have a little bit more
[0:58] tempered expectation. What's going on
[1:00] right now?
[1:02] Uh well, I think rather than get into
[1:04] the focus of the direction, I think
[1:06] every week I say to people this is going
[1:08] to be a continuous year of rotation just
[1:12] because of how mispositioned people are
[1:13] for artificial intelligence. So,
[1:16] if you go back to the end of February
[1:18] just before the war started,
[1:20] you know, everything that we talked
[1:21] about was hardware, semiconductors, and
[1:23] commodities on the long side, shortages,
[1:26] scarcity.
[1:28] And then on the short side were the
[1:31] negative news, which is really about
[1:34] software, private credit, and that whole
[1:37] Those things haven't bounced at all. In
[1:39] fact, software's made new lows and has
[1:41] been destroyed the last 3 days.
[1:44] And it's because again of AI progress.
[1:47] So,
[1:48] you know, I I think because of the
[1:50] headlines people get caught in this
[1:51] thing. Believe it or not, we finished
[1:53] yesterday with the S&P unchanged for the
[1:55] year. And as I've said um, repeatedly
[1:58] and will continue to say, there is no
[2:00] recession coming and that's because the
[2:02] AI demand is massive. At the same time,
[2:06] we're the new news that has happened
[2:07] since before the war that has not
[2:09] changed, there are no more rate cuts
[2:11] built in.
[2:12] Uh, we have zero rate cuts by the end of
[2:14] the year.
[2:16] At the same time, we have gas at the
[2:18] pump and diesel up significantly and
[2:21] even though people are hopeful that
[2:23] these prices will come down because of
[2:25] the ceasefire, I I don't believe they're
[2:28] going to come down and definitely not
[2:30] all the way down. We haven't got into
[2:32] the food side. We've moved uh, we've
[2:34] moved to a place where inflation is
[2:37] going to be significantly higher.
[2:39] And it could be higher than any time
[2:41] outside, believe it or not, outside of
[2:44] 2022,
[2:45] we could have headline inflation up at
[2:47] 6%, which would be the highest level
[2:49] since, I think, the early '90s. So,
[2:53] people are not, in my opinion, um,
[2:56] focused on the important thing, which is
[2:58] that AI progress is accelerating even
[3:00] faster. That disruption, that whole
[3:03] supersonic tsunami that both you and I
[3:06] have, you know, stolen from from Elon
[3:09] Musk and from the moonshots crew.
[3:12] I think that's where people should be
[3:13] focused. So, it's all about hardware,
[3:15] semis, and commodities on the long side
[3:17] and it's about software and private
[3:18] credit on the short side and I don't
[3:20] think that's going to change for the
[3:21] entire year.
[3:22] There are people who are watching this
[3:23] who are going to hear you say two things
[3:25] and they think that they're incompatible
[3:27] with each other. Software is on the
[3:29] short side, AI is on the long side.
[3:33] They think of software and AI is the
[3:35] same thing. Explain the difference.
[3:37] Yeah, and that's an important point cuz
[3:39] that's why
[3:41] that's why a lot of ETFs and a lot of
[3:43] things on the long side for AI, uh, most
[3:46] of the baskets are software. Um, they
[3:48] just are.
[3:50] Uh,
[3:50] every single software name is getting
[3:52] hit. Even this week, Palantir, which is
[3:54] a name that I've been, you know, talking
[3:56] about, I had to post an X yesterday that
[3:58] even it, relative to Microsoft, gave up
[4:00] the entire 25% gain that occurred since,
[4:04] you know, mid-February after the
[4:05] sell-off. Every software name's getting
[4:07] hit. So, let's go through what AI is cuz
[4:09] this gets into the abundance side.
[4:12] Artificial intelligence has made coding
[4:14] free.
[4:15] It has made it ubiquitous, and now you
[4:17] have AI agents doing the coding.
[4:20] Which means you can go from idea to
[4:22] application or
[4:24] software competitor within a matter of
[4:27] minutes.
[4:28] And I think people have faded the whole
[4:31] software situation. I think a lot of
[4:32] people tried to pick the bottom of it.
[4:34] They haven't
[4:35] embraced the viewpoint that I'll
[4:37] continue to say over and over again,
[4:39] which is
[4:40] artificial intelligence is disrupting
[4:42] every single part of any business that
[4:46] comes
[4:48] that's built on code. There's just no
[4:49] way around it. You're just making it
[4:51] cheaper to do. Play all companies that
[4:53] are built on code have human beings, and
[4:55] startup businesses can create
[4:57] competitive businesses. And are they as
[4:59] good as
[5:00] Salesforce? No, but that's acting like
[5:02] salesforce.com,
[5:04] the products they make are perfect.
[5:05] They're not.
[5:06] I think what Anthropic has done with the
[5:08] AI agents has make it more challenging.
[5:10] When you get to Palantir,
[5:13] which is not a SaaS company, but is
[5:15] something that absolutely I do not
[5:17] believe will be disrupted by
[5:19] AI in the way that the market is
[5:21] judging, but I admit I'm not going to
[5:24] try to sit here and say that it's not
[5:26] valid for it to move the multiple down
[5:28] because maybe 5 years from now there
[5:30] isn't a valid business for Palantir. And
[5:32] what's happening is it's looking forward
[5:34] and it's saying your multiples are not
[5:35] there. You are up for disruption. And
[5:37] so, everything built on software is
[5:39] getting repriced. That has implications
[5:41] for the way people are positioned across
[5:42] the globe.
[5:43] Now, one of the things that people have
[5:45] been very excited about is the
[5:47] democratization and access to superhuman
[5:50] intelligence. So, when ChatGPT comes
[5:52] out, etc. And most of those people go
[5:54] when they use it in a very kind of
[5:57] Google replacement type manner.
[6:00] Andre Karpathy
[6:02] recently came out with this tweet and he
[6:03] basically said there's like two
[6:04] different groups of people using AI
[6:06] right now. There are the people who
[6:07] tried it, you know, a year or two ago as
[6:10] that Google replacement. They saw
[6:11] hallucinations, they saw some you know,
[6:14] some value, but they said, "Okay, this
[6:15] is just kind of like a better version,
[6:17] but I still don't know if I trust it."
[6:19] Then there is on the other extreme
[6:20] people who are basically AI hypnosis,
[6:24] right? I think it's what he called. And
[6:26] these people are using it every day,
[6:27] they're using agentic technology,
[6:29] they're deep into the command line
[6:31] interfaces, and and they're just like
[6:33] all in.
[6:34] His point I think was like the truth is
[6:36] somewhere in between on these two. How
[6:38] do you compare a group that is saying,
[6:41] "Hey, look, I use ChatGPT every once in
[6:42] a while to get answers, but I don't
[6:44] understand why this is such a big deal."
[6:46] And then the group of people who thinks
[6:47] that like AI's going to replace every
[6:48] human and people are just going to live
[6:50] in some, you know, utopian world where
[6:51] nobody has to work.
[6:54] Yeah, I don't I don't see it as black
[6:56] and white, but let's let's take what he
[6:57] said cuz I do agree that the majority of
[6:59] people that I meet
[7:01] are in the first camp. I I think they
[7:04] still use it as a chatbot or a search
[7:06] engine, and that's it. Um
[7:09] I've traveled, you know, a decent amount
[7:11] to or at least done a a lot of
[7:13] institutional
[7:15] Zooms, and and I'll just tell you the
[7:17] biggest surprise for me,
[7:19] and it shouldn't be, but we're so far
[7:22] further ahead in progress from where we
[7:23] were in October,
[7:26] it people haven't done anything with
[7:28] agents yet. It's actually kind of scary
[7:30] to me since it's so easy to use. I know
[7:32] you and I talk about it, and we're
[7:33] amazed at what we're able to do,
[7:36] but it's just gotten too easy to use. Um
[7:38] whenever I hear anyone try to defend
[7:40] Microsoft, and I just show them
[7:42] something that I've I've done
[7:44] in that day. Every single day I build
[7:47] something. I sent you something this
[7:49] morning on Bitcoin.
[7:50] I used all five LLMs. The first one to
[7:54] do the the information and then the
[7:56] other four to check the information and
[7:58] make sure it's fine.
[8:00] But they're all using AI agents to go
[8:02] through this stuff. So
[8:04] I think we're Andre Karpathy maybe is uh
[8:08] a little bit useless for this
[8:10] conversation is he's so far to the
[8:12] extreme right in terms of of of an
[8:15] engineer in understanding this stuff
[8:16] that the middle ground is really any
[8:18] single person can be using it to create
[8:21] things. The question is do you have the
[8:23] curiosity of
[8:25] hey, I don't want to waste my time with
[8:27] this mindless crap. I have really
[8:29] interesting things to do.
[8:31] And I don't think the majority of people
[8:33] think that way. I think they've been
[8:34] trained in the software and search world
[8:36] to have it at your fingertips. It's kind
[8:38] of a mindless journey to just put
[8:39] something into a chatbot and ask for an
[8:41] answer. It actually takes curiosity. It
[8:44] takes a little bit of entrepreneurship
[8:46] to actually use the agentic side. So I
[8:49] think it's more reflection of
[8:51] a bigger bigger problem inside the
[8:52] country which is will people ever use it
[8:54] in that manner based on the way the
[8:56] education system, the way that Google
[8:58] search train people and the way that
[9:01] honestly software just got people to
[9:03] work to press a button and to think that
[9:05] they'd have to build something
[9:06] themselves is just not something they're
[9:08] interested in doing.
[9:10] Now, this whole idea of democratizing
[9:11] access I think people are like hey if I
[9:13] got 20 bucks a month I can go and I can
[9:15] use some of these tools. But now we're
[9:16] starting to see a great separation,
[9:19] right? And that separation is Mythos
[9:21] from Anthropic is not actually being
[9:24] given to the public. We're giving it to
[9:26] some cybersecurity experts. It sounds
[9:28] like maybe JP Morgan has access to it as
[9:30] well I read a report on. And so it's
[9:33] they're picking and choosing who has
[9:34] access to this like synthetic superhuman
[9:37] intelligence.
[9:39] Does this just become a game of like
[9:40] whoever gets access, they pull away from
[9:42] their competitors or are there concerns?
[9:44] How do you just read into we're now
[9:47] starting to pick and choose who has the
[9:49] technology versus just open it up to
[9:51] anyone who's got money?
[9:54] Well, you and I briefly talked about
[9:55] this last week. I wrote a paper about it
[9:57] last week. I I don't think people um
[10:01] I don't think the majority of people are
[10:03] up on the news and I don't think they
[10:04] fully grasp the importance of this
[10:06] particular model. And just so it's
[10:08] clear, um
[10:10] Open AI says they have a model coming
[10:12] out which is the same if not better. The
[10:15] main point is the models have reached a
[10:18] point that a bunch of things have
[10:21] entered
[10:22] I guess the world that people need to
[10:24] hear about and this is going to be a
[10:25] bigger story. And this is really why the
[10:27] software names got hit so hard this
[10:29] week. So if people didn't know why
[10:30] Salesforce and Palantir and Adobe and
[10:32] all these names had another leg lower
[10:34] along with the cyber names,
[10:36] the reason is because this model is so
[10:39] good that basically nothing can stop it
[10:41] from hacking. So the reason they brought
[10:44] it to cyber firms, they created a a
[10:47] group Glasswing to basically give it to
[10:50] all of these groups to say, "Hey, let's
[10:52] look at it and figure out how we can
[10:54] stop this from being an issue." So this
[10:56] is kind of the stage before the day
[10:58] really dangerous stage of true AGI and
[11:01] true ASI.
[11:02] We're at that point where we've talked
[11:04] about when would we get there? We're
[11:07] there. Um and it's a little dystopian to
[11:09] to to see what's going on. And if you
[11:12] don't believe that the company really
[11:14] has done this and this is kind of a
[11:15] marketing
[11:17] Uh Scott Bessent uh had a meeting with
[11:19] the banks. I mean, he called an urgent
[11:21] meeting with the leaders of the banks
[11:24] because of the hacking risk associated
[11:25] with this. Now, I talked about this over
[11:27] the course of the last month when the
[11:29] Open Claw situation had reached that we
[11:31] were going to have agent swarms and then
[11:33] hacking were going to be a major story
[11:35] and before the end of this year I still
[11:36] believe that we're going to have a
[11:38] situation where cryptography ironically
[11:41] enough is going to be the place that
[11:42] people have to go to to try and defend
[11:43] against this. The reason Palantir was
[11:46] hit is because basically they're saying
[11:48] well Anthropic is the only one that can
[11:49] defend against Anthropic at this point
[11:51] and you need to use Anthropic for your
[11:53] cyber side to go through it so you've
[11:55] entered this very strange world but
[11:57] there's another angle to it
[11:59] which you you kind of brought up but I
[12:01] just want to make sure people realize
[12:04] the pricing of this will be enormous.
[12:06] Um people have to realize that on the
[12:08] $20
[12:09] um
[12:10] you know amount
[12:12] they're not making any money. I mean the
[12:14] competition for the LLMs is so extreme
[12:18] and the usage is high enough that
[12:20] they're not making any money on this.
[12:22] They have revenues coming in the door
[12:23] but they're not making any money. So
[12:25] whenever we see the revenue run rate
[12:27] what is left out is the margins and the
[12:29] cost which again even though Anthropic
[12:31] is seeing the revenues go up their costs
[12:33] have gone up as as well and so if they
[12:36] can't control their margins and they
[12:37] can't control their costs and it gets
[12:39] commoditized and the competition keeps
[12:40] coming
[12:41] they have an issue. This model and
[12:43] agents in general are using so much
[12:45] compute that the reason the
[12:46] semiconductors are going parabolic the
[12:48] reason that Jensen Huang on Lex Friedman
[12:51] talked explicitly about how much compute
[12:54] is needed for this because of the
[12:55] inference explosion
[12:57] this is a very dangerous situation. I
[13:00] don't think we have enough compute. The
[13:02] only places that are going to have this
[13:03] model are the people are the enterprises
[13:06] that can pay for it. The real question
[13:07] to me is what's going to happen to
[13:09] people like you and I that are using the
[13:10] $200 variety. I've already seen limits
[13:13] hit. I've seen it happen on Perplexity
[13:16] and I've seen it happen on
[13:19] on Anthropic and Claude and Claude's
[13:21] gone down as well. So I think we're
[13:24] running into a problem where the demand
[13:26] numbers because basically
[13:29] people are no longer using it. Digital
[13:31] employees are using it and their needs
[13:34] are insatiable. And so this is a this
[13:36] has got major issues associated with it.
[13:38] And just so people realize, these
[13:40] companies can't slow down on providing
[13:42] it because they're worried they'll be
[13:43] leapfrogged. So Claude is trying to
[13:46] Anthropic is trying to find a solution
[13:47] for this. So they had to make a deal
[13:48] with Google
[13:50] to get access to their TPUs because
[13:52] remember Dario Amodei has talked about
[13:54] not over investing in compute. And with
[13:57] all the data center delays, we don't
[13:59] have enough compute. So we're at that
[14:01] stand that kind of point in time where
[14:04] people have to worry not about there
[14:06] being a bubble but us not able to
[14:08] provide what we need to and prices going
[14:10] higher which gets back to the
[14:11] inflationary component. Today's episode
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[14:58] to your aliveness
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[15:07] Your number one job is to educate
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[15:11] educate you.
[15:17] This part I think is very important. So
[15:19] for people who are unaware, Anthropic
[15:21] added uh supposedly, $11 billion
[15:24] in annualized revenue just in the month
[15:26] of March. So, they went from 19 billion
[15:28] in annualized revenue to 30, which is
[15:30] almost an unfathomable number for such a
[15:32] young company in the private market,
[15:34] etc. But, maybe more interestingly, is I
[15:37] think it is pretty well accepted in the
[15:39] market that Nvidia's GPU chips are
[15:42] superior to Google's TPU chips. But,
[15:45] people are going now to Google and
[15:47] saying, "I'll strike a deal with you on
[15:48] the inferior technology." And again,
[15:50] they're still great, but they're
[15:52] inferior to Nvidia. "I'll strike a deal
[15:54] because I literally do not have another
[15:56] option.
[15:57] You are the best available." And so,
[15:59] when you think about that, is that like
[16:00] a Okay, investors should go look at
[16:02] Google. Broadcom was involved in that
[16:04] deal. Hey, let's go look at Broadcom. Is
[16:06] that There's other ramifications. We've
[16:09] seen, uh, Roundhill came out with a
[16:11] memory ETF that they're trying to play
[16:13] on the shortage of memory. Like, just
[16:14] talk through maybe a little bit as to
[16:16] how you're thinking about in the market
[16:17] where opportunity could lie for
[16:19] investors.
[16:21] So, this gets back to the the point of,
[16:24] um,
[16:25] So, I've done five thematic pieces since
[16:27] November all around inference.
[16:30] Uh, they've ranged from advanced
[16:32] packaging in semiconductors, which I
[16:33] wrote after Nvidia did the deal with
[16:35] Groq, with the realization that GPUs
[16:38] were not going to be able to do
[16:40] everything. You've seen Intel go up
[16:41] dramatically. You've seen, uh, a variety
[16:44] of semiconductor. I mean, there's so
[16:46] many I've mentioned on this podcast,
[16:47] Teradyne, uh, has gone from about 110 to
[16:51] to 300 change. I did one on optical
[16:53] fibers around Corning. Those names are
[16:56] are up finally. You've seen deals with
[16:58] Coherent and Light, uh, from Nvidia.
[17:02] Nvidia did a deal with Marvell, which is
[17:04] a company that I've talked about in at
[17:06] 22V in terms of, uh, and it's recently
[17:09] gone up 30% in less than 2 weeks.
[17:12] The compute side
[17:13] is right now where we are. We don't have
[17:15] enough compute. The optical fiber side,
[17:18] the reason we need that is because the
[17:19] amount of traffic necessary for this is
[17:22] coming from east to west. It's not about
[17:24] the training side.
[17:26] So, we're at a very um unique position.
[17:29] Uh
[17:30] there was an over-investment in memory
[17:32] only 3 years ago.
[17:34] So, there's been an under-investment,
[17:36] and this is the thing people have to
[17:37] realize. Supply and demand,
[17:40] you highlighted the demand side. The
[17:42] revenue numbers, which are parabolic for
[17:44] Anthropic, are around AI demand, token
[17:47] demand.
[17:49] For us to satisfy that, if you think
[17:50] about it like food or anything else,
[17:53] we don't have it. And so, that is a sign
[17:56] that we're trying to take anything. Uh
[17:58] if you go through, and I know you've had
[17:59] Warren Pies on, uh I think you've had
[18:01] Warren Pies on before. Um okay. So, he
[18:04] um does a great job of showing the
[18:06] rental rates and everything happening
[18:08] with GPU. There's none available. Meta
[18:10] did a deal with Coreweave. Um all of
[18:13] this stuff is happening, and I think
[18:14] people from an investor standpoint have
[18:17] made a mistake of trying to fade
[18:20] the semiconductor move cuz they've heard
[18:21] about this bubble talk. Everything that
[18:23] was a bubble talk 6 months ago, we're
[18:25] talking about the opposite. Anthropic is
[18:28] getting their run rate going to where,
[18:30] like you said, it wasn't that long ago
[18:33] they were on a run rate of nine. Now
[18:35] they're on a run rate of 30, and this is
[18:37] all because of what we talked about.
[18:38] Opus 4.5 came, and all of a sudden the
[18:41] agentic world opened up. We are in the
[18:43] very first inning. I don't even think
[18:45] there's one out yet in the agentic
[18:47] world. It just started. And so, for
[18:49] people that are looking for investments,
[18:51] you can't be wrong in looking for this.
[18:53] I will say Nvidia itself
[18:56] is still an important player in this
[18:57] whole thing, and their stock is way too
[19:00] cheap relative to the demand numbers
[19:02] that are happening. So, it's very hard
[19:04] for the market as a whole to go down
[19:07] even with oil on a war going on because
[19:09] the earnings are growing so fast for all
[19:11] of these companies on the receiver end
[19:14] of the CapEx. So, the CapEx numbers just
[19:16] keep going. The receivers continue to
[19:20] see their earnings go up, and I think
[19:21] that's the world we're in is multiple
[19:23] compression, and S&P 500 that goes
[19:25] through the rotation, but you want to
[19:27] focus on the hardware and the
[19:28] semiconductor names and anything Dell,
[19:31] HPE, Corning, all of those names,
[19:34] they're all related to the same thing.
[19:36] There's an underinvestment to massive
[19:37] demand.
[19:39] When we look through these different
[19:41] companies that you're talking about, you
[19:42] have been very right, I think, to start
[19:44] the year now. And it goes back to this
[19:46] idea of software and AI are very, uh,
[19:48] kind of separate, although people are
[19:49] confusing them together. How do you
[19:52] think about large caps versus small cap
[19:54] companies? I think a lot of folks are
[19:56] used to small caps have explosive
[19:58] opportunities, but they also have a lot
[20:00] of downside. You're kind of getting paid
[20:02] for the risk that you're taking in a
[20:03] small cap or medium cap stock. Some of
[20:05] the companies that you're talking about
[20:07] are large cap companies. These are not
[20:08] small businesses. And they're growing at
[20:11] very fast rates. And so, are we headed
[20:13] to a world where large companies, like
[20:16] we've seen Oracle or or Meta, etc.,
[20:18] report some pretty crazy year-over-year
[20:20] growth numbers? Is that the new normal,
[20:22] where people can kind of get what they
[20:23] used to get in small caps, but now they
[20:25] can get it from these much more mature
[20:26] businesses, and that's going to kind of
[20:28] become the standard environment?
[20:31] Well, the the large cap stocks have not
[20:33] done well this year. This has been a
[20:34] small cap market. So, with the S&P
[20:36] unchanged for the year, the Russell 2000
[20:38] is still up. Um, I've talked about my
[20:40] belief that public companies are are
[20:42] just not going to produce returns over
[20:44] the next 2 10 years, and I'm going to
[20:46] reemphasize that point. Um, GDP is going
[20:49] to go higher. The spending is going to
[20:51] happen. There's a lot of companies that
[20:52] are either not public or part of the
[20:54] Russell 2000 or
[20:56] are in countries like Brazil, which I'm
[20:58] positive of, which made new highs for
[20:59] the year, uh, yesterday. I I just, you
[21:02] know, chemical stocks are not large cap,
[21:05] uh, you know, aside from Dow and DuPont.
[21:07] But when you go through most of the
[21:08] chemical names on my chemical list,
[21:10] they're small cap. A lot of the names I
[21:12] mentioned for the optical fiber side,
[21:13] not Corning, small cap.
[21:15] Uh, Modine, which is a a thermal name,
[21:18] the thermal cooling side. This is all
[21:20] about more heat. This is all about more
[21:22] components. This is all about more nuts
[21:24] and bolts. There's a lot of small cap
[21:26] companies. Uh, energy as a sector is
[21:29] smaller is half the uh, market cap of
[21:31] Nvidia. I mean, there's plenty of places
[21:33] for people to go. I actually um, don't
[21:35] like the large cap as a general theme
[21:38] unless they're related to hardware. The
[21:39] hyperscalers have not done well this
[21:41] year. Do I think their earnings are are
[21:43] fine? Yeah, but their free cash flows
[21:46] turned negative. And so, they're betting
[21:48] making a big bet on the future. And what
[21:50] is happening to all companies that have
[21:52] a code side or a competitive side from a
[21:54] margin compression,
[21:56] are you going to have pricing power? And
[21:58] that's the issue that keeps coming
[21:59] through. And right now, these companies
[22:01] are making money, but
[22:03] they've got an accounting benefit that
[22:04] came from the one big beautiful bill on
[22:06] this CapEx side. Their free cash flow is
[22:08] going negative. They've got competitors
[22:10] with Anthropic and OpenAI, which are not
[22:12] public companies at this point. SpaceX
[22:15] is coming to the market. I I would not
[22:17] be focused on the large cap companies or
[22:19] thinking that they're going to own this.
[22:20] I've been going a different direction.
[22:22] Uh, I believe this is an entrepreneur
[22:24] side. I believe this is a a startup
[22:26] business, and I think the private part
[22:28] of the market, ironically enough, not
[22:31] big private companies, but very small
[22:33] tiny private companies are going to have
[22:34] a major advantage here just because of
[22:37] how nimble they are and because they
[22:38] don't have something to lose and
[22:39] probably most importantly,
[22:41] human beings are the major cost of the
[22:43] S&P 500. Um,
[22:45] if the agentic side is speeding up right
[22:47] now, and a lot of what I'm going to show
[22:48] this weekend is from people now saying
[22:50] with this new model,
[22:52] this new model is very, very, very bad
[22:54] for labor. Um, all knowledge workers are
[22:57] at risk. If you have a model that is
[22:59] autonomous and can break into anything,
[23:01] that means they can replicate and
[23:02] self-learn on their own. That is the
[23:05] danger now that we've sped up so quickly
[23:07] that you're going to see an impact to
[23:08] the knowledge workers far more than
[23:09] we've seen already.
[23:11] Let's talk about the economic data that
[23:13] came out this morning. You mentioned a
[23:14] little bit earlier, the inflation number
[23:16] is obviously rising. Uh the PCE number I
[23:19] think gives people a little bit more
[23:20] confidence, but still uh a little
[23:22] concerning. You keep talking about
[23:24] headline CPI going above 5%. Let's put
[23:27] aside for a second uh the headline
[23:29] number is going to go higher.
[23:31] What do you think actual inflation is?
[23:34] And the reason I ask that is like
[23:35] trueflation is showing that it has
[23:36] nearly doubled since the start of the
[23:38] Iran war. So trueflation and CPI are
[23:40] both going higher, but trueflation is
[23:42] showing something that is less than 2%.
[23:44] Call it 1.7, 1.8%.
[23:46] And what it begs the question of is this
[23:49] tension between short-term oil,
[23:51] short-term inflation type pressures that
[23:53] could become long-term, but right now
[23:54] they're only short-term. Versus
[23:56] long-term deflationary component. You
[23:59] mentioned that you think stocks are not
[24:00] going to appreciate a lot over the next
[24:01] decade. And so how are you thinking
[24:03] about just inflation in general?
[24:08] What wins out? The short-term inflation
[24:09] pressure or the long-term deflationary
[24:11] pressure?
[24:14] So again, I'll I'll I'll say it again.
[24:16] Nobody watching this cares
[24:18] at all about trueflation.
[24:21] Um should
[24:22] >> There's not a cent The
[24:24] uh no, they shouldn't. Um inflation is a
[24:26] feel, it's not a number. Um it's
[24:29] impossible for them to true truly
[24:30] calculate inflation. So we've had a
[24:32] difference between inflation for a long
[24:34] time. Um headline inflation, so core
[24:37] inflation is only 2.3%.
[24:41] Headline inflation is now 3.3,
[24:44] and it will be above five just based on
[24:46] what's going to happen with food prices
[24:48] and what's going to happen with gas.
[24:49] Affordability is a major issue. So the
[24:51] reason I say nobody cares about
[24:53] trueflation, I don't see anyone going
[24:55] this is fantastic, inflation is low
[24:57] again.
[24:58] Wages are falling and the job market is
[25:00] not strong.
[25:01] So wages are down below 4% on almost
[25:04] every measure.
[25:05] Uh they're probably going to be sticky
[25:07] around these levels.
[25:08] But if inflation does go above 5%,
[25:11] you're going to have negative
[25:13] wages. Now again, back to the last time
[25:15] we had inflation, that was YOLO time.
[25:19] This is a very different time. People
[25:20] spent the money during the first wave of
[25:22] inflation and had a party. They didn't
[25:25] save the money that was handed out. And
[25:26] so what we have now is a situation where
[25:29] affordability is already an issue.
[25:32] And gas and food prices are going
[25:33] higher. Plastic prices are going higher.
[25:36] Diesel prices are up faster than any
[25:38] point over the course of the last 25
[25:40] years.
[25:41] You're going to That means every truck
[25:43] has things. Jet fuel, the airline prices
[25:46] are going to go higher. And this is not
[25:47] a question of will it? It will. So all
[25:50] of that stuff is eventually going to
[25:52] feed through. And that means people at
[25:53] home are going to feel this. Now,
[25:56] we haven't had this situation.
[25:57] Three-month rates are now at
[26:00] 3.66% 3.65 when when we got on here. And
[26:04] we're going to have headline inflation
[26:05] above it.
[26:07] You know, I'm I'm very focused on a lot
[26:09] of things, but this negative yield
[26:12] and the fact that wages are going to be
[26:13] This is going to have huge implications
[26:16] for the midterms.
[26:17] Inflation will be a major major part of
[26:20] the midterm elections. Bless you. So
[26:23] don't you know, I I I think this this
[26:25] situation of hey, core is really low.
[26:28] The Fed doesn't have to raise rates.
[26:31] Okay, but the people at home are going
[26:32] to be feeling the pressure because jobs
[26:34] are not safe. And at the same time,
[26:36] we've got an affordability issue that
[26:38] isn't going to get better with this.
[26:40] One of the aspects I do not have a
[26:41] strong opinion on how this plays out,
[26:43] but I think is very interesting is in
[26:45] more than 50% of the major metros, we
[26:49] are now seeing prices come down on
[26:50] homes. And
[26:54] I think that it goes back to like two
[26:55] things can be true. Homes are expensive,
[26:56] yet they are not continuing to
[26:58] accelerate at this rapid rate. Now, that
[27:00] could change, but I think what you're
[27:02] talking about from like how people feel,
[27:04] it actually isn't so much about the
[27:05] year-over-year rate of change as much as
[27:07] it's just like, I remember 5 years ago
[27:09] this was way less expensive, and it is
[27:11] just through the roof in comparison. And
[27:14] so, regardless of the year-over-year
[27:15] rate of change, I just feel like
[27:17] everything is expensive. And I think you
[27:19] are right that like that doesn't go away
[27:21] if prices come down 1 or 2%.
[27:24] Right? That that just feels like
[27:25] everything is expensive even if it was
[27:27] 5% cheaper, it is still expensive.
[27:30] Yeah, and that and that's that's the
[27:32] issue for people. If you've heard the
[27:33] term core inflation, you were wondering
[27:35] that the difference.
[27:36] Um core inflation is supposed to strip
[27:39] out the variable side of commodities.
[27:41] That's why it was
[27:43] put together so that we could deal with,
[27:45] you know, what was happening in the
[27:47] 1970s. It doesn't change the issue. What
[27:50] we know for a fact is when people who
[27:52] are driving gas cars go to the gas
[27:55] station,
[27:56] it is significantly more to fill it up.
[27:58] Now, is it more than it was during 2022?
[28:00] No, it's it's the same. But again, the
[28:03] way people live paycheck to paycheck in
[28:05] the country, any type of increase,
[28:08] especially on something like
[28:10] electricity, like gasoline,
[28:13] phones, uh I I I mean, I hate to to say
[28:16] it, um
[28:18] if there's scarcity and underinvestment,
[28:20] and that's the commodity world, AI is
[28:22] very inflationary for things related to
[28:25] the physical underinvested world, and
[28:27] that means the phone, it means all of
[28:29] this stuff is going to go up in price.
[28:31] At the same time, we do have labor
[28:33] shortages in things like daycare, uh
[28:37] teachers, nurses.
[28:39] Uh we're not we we just don't have a
[28:41] situation where all of a sudden daycare
[28:43] prices are going to come down, and we've
[28:45] heard from people, and I hear it from
[28:46] people uh in in Brooklyn when I'm
[28:49] talking to people. It's the daycare
[28:51] expense is a very big expense for
[28:52] people.
[28:53] They mention it as like kind of the
[28:55] number one thing. They don't know what
[28:56] to do. They're kind of trapped. And so
[28:58] when you mention housing prices are
[28:59] coming down,
[29:01] the ironic thing of that is
[29:03] that's not what rents are doing in
[29:05] apartment buildings in the cities in New
[29:06] York. Maybe it's happening in certain
[29:08] parts of the country. Maybe more supply
[29:10] is coming on. But for people that are
[29:11] trapped in their apartments or trapped
[29:13] in where they are, I I just don't see
[29:16] how house prices coming down by 30 basis
[29:18] points or 1% changes their life unless
[29:21] they get up and move. And you know what?
[29:23] If you got to get up and move, you're
[29:24] paying for the moving cost and all these
[29:26] other things. It's just not like you're
[29:27] saving any money.
[29:29] Let's talk about Bitcoin. You sent me
[29:31] this great chart that basically shows
[29:33] Fed funds rate rising, Fed fund rate
[29:36] falling or or holding, and then the
[29:38] positive real versus negative real
[29:41] return here.
[29:42] What is this showing us? What's your
[29:44] takeaway from this? I see plus 247%
[29:47] which obviously people get excited
[29:48] about.
[29:50] So there's really two things. Let's go
[29:52] back to the AI side.
[29:54] Uh
[29:55] I have said repeatedly I think Bitcoin
[29:57] is the only quote-unquote thing built on
[29:59] code that is safe from the destruction
[30:02] of AI because it has no competitor.
[30:04] Meaning
[30:05] it's not a business. It doesn't have
[30:07] fundamentals. There's no way to disrupt
[30:10] it.
[30:12] We're at that agentic side. So the
[30:14] network effects are going to kick in. I
[30:16] want to watch Ethereum as the major kind
[30:18] of signal. And for people watching, I'm
[30:20] giving you not only a bullish sign, but
[30:22] I'm giving you a timing sign. The
[30:23] catalyst is now.
[30:25] Um and now I'll get to that point, but I
[30:27] want to make sure I give you the
[30:28] structural issue on on what I think is
[30:30] happening. We showed and talked about
[30:32] and everyone saw the chart of how
[30:34] Bitcoin was very correlated to software.
[30:36] Which it should be. It at the end of the
[30:38] day is built on code. It's a growth
[30:40] asset. It's something that people think
[30:42] in the future will be worth a lot more
[30:43] money. It obviously has a scarcity side,
[30:46] which let's leave that alone for a
[30:47] second. Uh but it is software. So, it
[30:50] was correlated. Well, this week will be
[30:52] the biggest week of Bitcoin over
[30:56] software. We have finally broken the
[30:58] correlation. Uh and this started last
[31:01] week, but the correlation between
[31:03] software and Bitcoin has broken out. So,
[31:06] when we were seeing software puke during
[31:08] the first 2 months of the year, Bitcoin
[31:10] was going down with it. That's not
[31:12] happening. Bitcoin is starting to trade
[31:13] a little bit more now like a risk asset.
[31:17] Meaning it followed the S&P. Software
[31:19] did not follow the S&P. The credit
[31:21] situation, the private credit names, uh
[31:23] equities have not bounced at all, and
[31:25] you're still getting redemptions there.
[31:27] So, what I put together was just for
[31:29] people to see, and I'll show this on the
[31:31] video.
[31:32] Uh
[31:33] if you break Bitcoin into those four
[31:35] sides, so you start with 3-month real
[31:37] yields. So, 3-month rates are 366.
[31:41] Headline inflation is now 330. So, we've
[31:43] taken it down to about 40 basis points.
[31:46] Meaning we have rates 40 basis points
[31:49] above.
[31:51] The majority of the returns,
[31:53] not the majority, over 100% of all of
[31:56] the Bitcoin returns since its launch in
[31:58] 2010, but also if you break it down by
[32:00] 5-year increments, in every 5-year
[32:02] increment, the best time to invest in
[32:05] Bitcoin where you get over 100% of the
[32:07] returns
[32:08] is when the Fed is either on hold or
[32:11] cutting combined with negative real
[32:14] yields.
[32:15] Now, remember, the first part of 2010 to
[32:18] 2019, we had QE going on. We had fairly,
[32:22] you know, moderate inflation, but if you
[32:24] have zero yields or 3-month bills around
[32:27] zero yields, you're obviously going to
[32:28] get huge returns. So, that's what this
[32:31] is about, but I also said this is from
[32:33] 2019 to 25, this is from 15 to 19, and
[32:37] this is from 10 to 15. It doesn't really
[32:39] matter. It's all the same.
[32:42] This is the point that you want to be
[32:43] looking at it because when we get to the
[32:45] next CPI number,
[32:47] I think what's rolling off is a point
[32:49] one, meaning last year the
[32:51] month-to-month was about point one.
[32:53] We'll be replacing that again with
[32:54] something close to one, which means
[32:57] headline CPI will be above
[33:00] uh
[33:00] the three-month rate as of next month.
[33:02] So there's your catalyst. We'll be
[33:04] entering the regime if you want to call
[33:06] it of the Fed on hold or easing with
[33:08] inflation up above yields. So negative
[33:10] real yields. But one more thing on the
[33:12] technical side, the weekly uh
[33:15] MACD
[33:17] is crossing this week. So when you put
[33:19] it all together, um I've started again.
[33:21] I've I tried to buy when we were up
[33:23] close to 100. I was buying some above
[33:25] 100.
[33:27] Uh I am reducing a little bit of some of
[33:29] my memory names and I'm in taking that
[33:31] money moving it in, but I'm also moving
[33:32] money out of money markets now. Moving
[33:34] it into Bitcoin because I think we've
[33:36] hit a point where uh you're going to
[33:38] start to see a break in correlation and
[33:40] I think people are going to start to
[33:41] focus on it as a scarcity asset. Just
[33:43] one more thing, one of the conversations
[33:46] that is starting to build rapidly.
[33:48] Uh and I'm not going to go through all
[33:50] of the details, but maybe you and I can
[33:52] get Marco Papic on uh soon to talk about
[33:55] something he mentioned on a podcast he
[33:56] did.
[33:57] But you have to start to think about the
[34:00] US position with the dollar. Um
[34:02] obviously this war did not work out the
[34:05] way that I think the administration
[34:07] thought. Whatever is happening with the
[34:09] Strait of Hormuz, one thing is certain,
[34:11] the rest of the world did not come to
[34:13] the US side in this.
[34:15] Uh and in particular now what's going on
[34:17] in Taiwan,
[34:18] uh with elections over there and who's
[34:21] starting to visit China,
[34:24] there's a growing fear that maybe the US
[34:26] dollar will be under pressure more as
[34:29] the end result of this with higher
[34:31] inflation, higher energy prices to go,
[34:33] an unstable situation in the Middle
[34:35] East, this taxation thing which is, you
[34:38] know, the Iran is seems to be as part of
[34:41] their program is taxing people using the
[34:44] straight. This is a very weird
[34:46] situation, but I think in the end,
[34:48] you're going to have it. And one final
[34:49] point,
[34:51] I'm concerned about inflation happening
[34:53] in emerging markets at a much bigger
[34:55] rate than happens in the US. And if
[34:57] that's happening, I think you're going
[34:58] to have some countries of the world in
[35:00] particular that are going to be looking
[35:02] for ways to hedge against inflation.
[35:04] Remember at the end of the day, if
[35:06] inflation is going higher in certain
[35:08] parts of the world and we have an
[35:09] unstable environment, I think the
[35:10] attractiveness in Bitcoin from
[35:12] devaluations in certain countries
[35:15] is going to grow as the thing. I think
[35:17] you're going to have more and more
[35:18] people talking about Bitcoin over the
[35:19] course of the next 3 to 6 months.
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[37:45] I do think that a lot of people get
[37:46] confused when it's like, Bitcoin can go
[37:48] up because of inflation, Bitcoin can
[37:50] also be valuable if there's deflation
[37:52] from AI. And one of the things that's
[37:53] helped me is understanding like, there's
[37:55] different people who buy Bitcoin for
[37:56] different reasons. Some investors are
[37:59] very focused on global liquidity. Other
[38:01] investors are very focused on digital
[38:03] disruption, and two things can be true
[38:05] at the same time. Can you elaborate a
[38:07] little bit on how you think about those
[38:08] different groups and why it seems like
[38:11] Bitcoin can win in two different
[38:13] environments?
[38:15] Well, the common thread between them,
[38:16] and I say this all the time, the one
[38:18] thing I know with all human beings on
[38:20] the planet, no matter where they live,
[38:22] which is the same.
[38:23] They all have um
[38:25] some form of greed.
[38:27] Uh I think in the face of people hiding
[38:30] their money or protecting against
[38:32] devaluation,
[38:33] that may not sound like greed to people,
[38:35] but
[38:37] it is. If you can put your money in
[38:38] something that's keeping its value, then
[38:40] everything else is going down in value.
[38:42] So, it's a reverse side of greed, but I
[38:44] think more and more people have to think
[38:46] about devaluing currencies
[38:49] in a world where, okay, we need that. On
[38:51] the flip side, I think in the US in
[38:53] particular,
[38:54] and really around the globe, the
[38:56] acceptance of Bitcoin, and I asked you
[38:57] about this, you know, a a few episodes
[38:59] ago, just to talk about the difference
[39:01] in the way people perceive Bitcoin from
[39:02] the institutional side today from where
[39:05] it was 3 years ago or even 6 years ago,
[39:07] when you would get thrown out of offices
[39:09] immediately when you walked in to talk
[39:10] about it. Well, just like Bitcoin has
[39:13] matured, so has Anthony Pompliano. He's
[39:15] older, he's more mature, he's more
[39:16] involved in the business world. He's got
[39:18] a tie on every day. Allegedly. There's
[39:20] no hoodies, there's no anything. So,
[39:21] you've actually uh
[39:23] gone with Bitcoin at the exact same
[39:25] time. I just think we're at a different
[39:27] stance, and when we get through it, the
[39:29] reason I have my stepfather with an
[39:31] allocation in it, and I've told him, I
[39:33] just don't think growth assets are where
[39:34] you want to be ever again because of AI.
[39:37] People still need to make returns,
[39:39] particularly if they're going to live
[39:40] longer from AI, and that gets back into
[39:42] the longevity side, and you need to
[39:44] produce returns over the course of the
[39:46] next decade. What'll happen is when
[39:49] Bitcoin does trade higher. And this is
[39:50] the thing people should go, I've
[39:52] believed this, I still believe it.
[39:54] We are now in a vacuum where there are
[39:55] almost no assets built on code that are
[39:58] going higher. Almost none.
[40:00] Not the hyperscalers, not the software
[40:02] names. The only names going higher are
[40:05] semiconductor names, which {quote}
[40:06] {unquote} are cyclical, meaning at some
[40:08] point we'll have enough compute. I don't
[40:10] think it's going to happen for a while,
[40:11] but at some point we will. At some point
[40:13] we'll come up with efficiency gains. At
[40:14] some point we'll come up with cures for
[40:17] everything related to energy and
[40:18] everything related to commodities. We'll
[40:20] have humanoids. The only thing that I
[40:22] can say with certainty is people are
[40:24] still going to need to in their mind
[40:26] make more money in the course of the
[40:27] next 5 years. And I think once Bitcoin
[40:29] trades higher this time, this is the
[40:31] move that to me is about AI disruption.
[40:34] It is the reverse of what's happening to
[40:35] software. So, I always let the market
[40:38] tell me. I can sit here with you guys
[40:40] and say that I made X right and I made X
[40:42] wrong. So, I've been right on most of
[40:44] the commodity names, the power names,
[40:45] the semi names. And now I've been wrong
[40:47] on Palantir. I've been wrong on Bitcoin.
[40:49] I still think those two are going to do
[40:50] well. But when Bitcoin breaks away from
[40:52] software, you have to pay attention.
[40:55] That is the thing I've learned about is
[40:56] let the market tell me when something
[40:57] different is going on. The world is
[41:00] absolutely more unstable than it was
[41:02] February 27th. There is no question
[41:04] about that. We have less certainty.
[41:06] We're going to have energy hoarding
[41:07] around the globe. We need to figure out
[41:09] ways to solve the problem, not be
[41:10] dependent on the rest of the world. I
[41:12] just think Bitcoin right now you have to
[41:14] watch it. And if we start to trade
[41:16] higher, and I'll give everyone a level.
[41:18] If we trade above 76,000, and at the
[41:20] same time we see Ethereum above 2400,
[41:24] I believe that is the beginning of a
[41:25] move that will be sustainable this year
[41:28] because I don't think we're going to
[41:29] have a recession. I think inflation is
[41:31] going to stay elevated, and I think
[41:32] people are going to need to find
[41:34] something that is making money in a
[41:35] world where the S&P is not moving
[41:37] anywhere.
[41:38] Bitcoin volatility used to be 80-90 vol
[41:42] a couple years ago. It is now compressed
[41:44] to like 35-40 ish. Um Bitcoin drew down
[41:48] 50% instead of drawing down, you know,
[41:50] 85%. Uh I think there's some people who
[41:52] say, "Well, if volatility got cut in
[41:54] half and the bear market got cut in
[41:55] half, then that kind of makes sense." Uh
[41:57] in terms of the drawdown.
[41:59] What I'm maybe more interested in is
[42:01] usually those bear markets were 18
[42:04] months, maybe, you know, 12 plus months.
[42:06] If you look at, you know, 2021, we
[42:07] peaked in November. 2022, November was
[42:11] the bottom of the capitulation. so kind
[42:12] of a full 12 months.
[42:15] We are now about 6 months from the peak
[42:18] of Bitcoin, give or take a couple of
[42:19] weeks.
[42:20] Should we think of these bear markets is
[42:23] also from a timeline being shorter as
[42:25] well? If you get a compression of
[42:27] volatility, do timelines kind of
[42:28] accelerate?
[42:32] Yes and no. Um again, I I
[42:36] I mean, I hate to bring this back to
[42:37] software, but when you have a chart that
[42:39] is a direct overlay for 5 years, meaning
[42:43] the movement in software was the same as
[42:44] the movement in Bitcoin,
[42:46] I
[42:48] I I think what we're going to have is
[42:50] rather than call them bear markets and
[42:52] just like get in this I'm I've never
[42:54] been a big fan of this bear market bull
[42:56] market thing, especially when we're at
[42:58] all-time highs like at some point in
[43:00] there. It just seems like, okay, they go
[43:03] up and then the normal course is at some
[43:05] point uh people don't invest as much as
[43:07] they have. I do think people have given
[43:09] up on Bitcoin in terms of the people I
[43:11] listen to on most podcasts. It's very
[43:13] hard. People are just so frustrated to
[43:14] to go through. Um there's a
[43:17] psychological part that takes time. I do
[43:19] think when you're at a 30 or four vol,
[43:20] that is a big difference from 80 or 90.
[43:23] So, you are talking about a world that
[43:25] time compresses as well. Uh I think when
[43:27] things move, they're going to move
[43:28] faster than they've ever moved. That's
[43:30] what we've seen with software. When they
[43:32] fall, they don't fall a little bit, they
[43:34] fall 10 to 20%. it goes very, very
[43:37] quickly. And so, I think that is a
[43:38] trapdoor feeling. There's just I just
[43:41] don't think in a world of uncertainty
[43:43] around AI people know what to do. And
[43:45] so, it doesn't take much. We're getting
[43:46] into earnings, which we haven't talked
[43:48] about. Those are going to start next
[43:49] week.
[43:50] When we start getting into the software
[43:51] companies, one of the most dangerous
[43:53] things is I think people are like, well,
[43:55] when we get into the earnings, then
[43:56] finally software will be done.
[43:59] When stocks don't go up on good news,
[44:02] which is what's happened with um
[44:04] the software names cuz their earnings
[44:06] have been good.
[44:08] The question is, when they show any
[44:10] signs of AI showing up in their numbers,
[44:13] that means they're going to get
[44:14] pummeled.
[44:16] If somehow or another, they can actually
[44:18] go up on bad news, then that would mean
[44:20] that we've hit kind of a uh
[44:22] you know, a a static point. I just don't
[44:25] think that's going to happen because I
[44:27] think people still,
[44:28] you know, and and again, most people
[44:30] that have software in their ETFs are out
[44:33] there saying, this is an overreaction.
[44:36] I think there's too many people that are
[44:37] hoping that this is an overreaction. I
[44:39] don't think it is.
[44:41] The IRGC
[44:43] is reportedly, you know, the Iran, uh
[44:46] reportedly asking to get paid a toll of
[44:49] $1 per barrel of oil that goes through
[44:51] the strait. And they want to get paid in
[44:53] Bitcoin, according to the Financial
[44:54] Times. I do not know if that's true or
[44:56] not, but if it is true, what are the
[44:57] ramifications?
[45:00] Again, I think it's just another sign
[45:01] that in this world that we're going
[45:03] into,
[45:04] uh
[45:05] the dollar is not being thought of in
[45:07] the same way that it was, and people
[45:08] don't want to be uh connected to the
[45:11] dollar. It doesn't have the same meaning
[45:12] that it did. You can't separate, okay,
[45:16] I'm going to make a speech and say
[45:17] NATO's done.
[45:19] You can't say that when Taiwan is
[45:21] dependent on the US protecting them
[45:24] against China, and then you have a
[45:26] leader in Taiwan that's running, and is
[45:29] going to visit China.
[45:32] Part of that reason is the fact that,
[45:33] hey, people of the world, forget the
[45:35] politicians who are just doing things.
[45:37] That is a representation of how the
[45:39] politics of the world are changing. That
[45:41] people don't see the US the same way
[45:44] they did. And whether or not, you know,
[45:45] people watching this want to hear that,
[45:47] that's just the reality of the way the
[45:49] masses are thinking. And I think the
[45:51] Bitcoin sign shows two things. One, it
[45:54] is a representation of the dollar. I
[45:55] think if the dollar is weakening,
[45:58] which would absolutely be the case if
[45:59] inflation's at higher levels, and you
[46:01] have most countries around the world
[46:02] raising rates and at the same time the
[46:03] dollar is is is falling. If the dollar
[46:06] is falling, I think it's a
[46:07] representation of Bitcoin being accepted
[46:09] again as this neutral place rather than
[46:12] a reserve currency status. I just think
[46:14] it's being viewed as a neutral
[46:17] situation. In the same way, they also
[46:19] said they would take payment in yuan.
[46:22] So, it's not like they're exclusively
[46:23] saying Bitcoin. Again, I think it's just
[46:25] a representation of how do we not get
[46:27] trapped in this situation of the US can
[46:30] do whatever it wants and are we going to
[46:33] be thought of as a group? And I I I just
[46:35] think it's changed over the course of
[46:37] the last 6 weeks.
[46:39] Is there anything that you are looking
[46:41] at um
[46:42] that would change your mind in terms of
[46:44] your current view of the scarcity with
[46:46] AI, Bitcoin? Like is there a data point,
[46:49] a development, a government
[46:51] announcement, anything that you think
[46:53] would be the the trigger point where
[46:54] you'd say, "Hey, you know, I think I
[46:56] need to evolve here."?
[46:58] Yep, 100% simplest thing I can possibly
[47:00] say.
[47:02] If I start running into people that are
[47:04] using AI every day, I'll start to change
[47:06] my view.
[47:07] I think the biggest problem is from a
[47:09] sentiment basis and the simplest thing I
[47:11] can say,
[47:13] nobody who talks about artificial
[47:16] intelligence
[47:18] has an intelligent thing to say about it
[47:21] if they're not using it every day.
[47:23] To use it every day, just I mean, think
[47:26] about your situation. It changes so much
[47:28] on a daily basis. I'm blown away every
[47:30] day on something I'm able to do with it.
[47:33] And I say that with just honesty. I I
[47:36] don't think your kids, if you're
[47:38] watching, can possibly be prepared for
[47:40] the world without using it every single
[47:42] day and the schools don't want them to
[47:45] use it still at this point. So, if
[47:47] you're not using it, if you're trapped
[47:49] at a company that doesn't allow you to
[47:50] use it, that's not an excuse. So, I
[47:52] think this is one of those unique
[47:54] situations where, as I say, I always
[47:56] give credit to my father for this.
[47:58] Investing is not a game of being right.
[48:00] It's about trying to find situations
[48:02] where the risk-reward are positive in
[48:04] your favor, and you believe you're going
[48:06] to make a lot of money relative to the
[48:07] risk.
[48:08] Well, the number one driver of the odds
[48:10] on that
[48:11] are how crowded the situation is on your
[48:13] viewpoint.
[48:15] And if people aren't using AI every day,
[48:17] they really
[48:19] I I mean, they make sure that the odds
[48:20] are in the favor of people buying
[48:22] semiconductors, buying energy, buying
[48:23] all this stuff, because remember, it was
[48:24] only 6 months ago that people were
[48:26] absolutely publishing that this was a
[48:28] bubble, and they would never ever ever
[48:31] be able to build this much. So, I just
[48:33] don't think that this is going to be a
[48:35] situation where
[48:37] unless that changes, the odds are going
[48:39] to remain in the favor. So, for everyone
[48:40] listening, just remember,
[48:42] um Anthony asked a good question.
[48:44] The earnings are in your favor. All the
[48:46] stuff is in there. The thing that's not
[48:48] in your favor is that people don't use
[48:50] AI, so I don't think they have any idea
[48:52] about what Mythos is at this point.
[48:55] And when you're talking about use AI,
[48:57] just before all the trolls in the
[48:58] comments, you're not talking about using
[48:59] it as a chatbot. You're talking about
[49:01] using it agentically, CLIs, and the
[49:04] actual like underlying technology, not
[49:06] the chatbots, correct?
[49:08] Building stuff.
[49:09] And And anything that you want to build.
[49:11] Again, if you want to play fantasy
[49:13] football, I mean, we'll we'll get into a
[49:15] point somewhere in the summertime what I
[49:17] think people should be doing if this is
[49:18] something, and I know a lot of people
[49:19] spend time on this. I don't at all
[49:21] anymore.
[49:22] Uh but if I was going to basically be in
[49:24] a fantasy football league,
[49:26] I would already be out there doing all
[49:27] the work on all the analytics and
[49:29] connecting it using Perplexity computer,
[49:31] getting an API key for whatever data
[49:33] sources you have, and connecting it to
[49:34] it, and say, "Let's go through and
[49:36] figure out our draft for this year based
[49:37] on last year's data, and then
[49:39] incorporate the new news that comes in."
[49:41] Just to show that you're building
[49:42] something in there. And when I use the
[49:44] When I say the the word nobody's using
[49:47] it,
[49:47] out of 100 people that I run into in
[49:50] conversations, and again, I'm in a very,
[49:52] very um finite world for the most part
[49:55] in conversations. I'm talking to
[49:57] institutional investors, which for the
[49:59] most part went to the best schools in
[50:00] the country. They were for the most part
[50:03] the best students in the country. Uh
[50:06] they're not using Claude in the way that
[50:08] I would expect. So, if I start to see
[50:10] that change, and again, there's been an
[50:12] uptick for sure,
[50:13] but the uptick is about using it in some
[50:16] way, which is they're making it more
[50:17] software-like. Uh I think this is about
[50:20] building stuff, and until people get
[50:22] there, I just again, I don't think
[50:23] enough people are using it to change the
[50:25] odds on the equation, and that's why I
[50:26] say I think we're in still in the first
[50:28] inning of the agentic world. I know
[50:30] you've been uh cooking up a great video
[50:32] for Sunday. You you you got too many
[50:34] unique insights this week. So, what
[50:36] what's the video on Sunday going to be
[50:37] about?
[50:39] Uh a lot of it is going to be showing
[50:40] people um
[50:42] where the inflation data was before we
[50:44] got into the war and the likelihood that
[50:46] it's going to be higher, the changes
[50:47] that have happened since the war. I'm
[50:49] going to reiterate
[50:51] the physical upgrade, the the scarcity
[50:54] side and go through. Uh I'll show people
[50:56] again my model portfolio and a lot of
[50:59] the subscribers that have gone on have
[51:00] been great. Uh I'm continuing to up
[51:03] things on there. My goal was
[51:05] two things. Help people feel empowered
[51:07] by their ability to move their money
[51:09] into investments that they can make
[51:10] money on, for traders to be able to find
[51:12] positions uh in names that are going to
[51:15] go higher, to make sure they focus their
[51:16] attention on commodities extensively and
[51:19] support the video on the weekend, and
[51:21] even though some of the people can't
[51:22] afford to the subscriber and I run into
[51:25] those people all the time in terms of uh
[51:27] chatting with them.
[51:28] The main reality is you're going to get
[51:30] a lot from the weekly videos if it's
[51:32] just staying up to speed on things. Uh
[51:33] you don't have to pay for the subscriber
[51:35] list, but for the subscriber list, you
[51:37] are getting thematic ideas, you're
[51:39] getting the names, you're getting the
[51:40] list, you're getting technical updates,
[51:42] and anything new that happens on the
[51:44] commodity, the semi side, the optical
[51:46] fiber side, or anything that pops out. I
[51:48] will cover some of the biotech side this
[51:50] week in terms of pharmaceuticals.
[51:52] There's just a variety of information
[51:54] that I'm trying to get out to people.
[51:56] I'm uh I'm excited to watch. I watch
[51:57] every Sunday. And anyone who watches
[51:59] this, you should go say thank you to
[52:00] Jordy. You should go to his YouTube
[52:02] channel, go to Jordy Visser YouTube on
[52:04] Google, and uh hit the subscribe button.
[52:06] That's like the thank you. You send him
[52:07] like a digital, you know, kiss every
[52:09] Sunday morning. So, he gets very
[52:10] excited. Um look at look at look at his
[52:13] reaction. See?
[52:15] Yeah. And for people who want to go If
[52:17] you've never seen the subscriber side
[52:19] since uh the one thing I haven't done
[52:20] well is create a website yet for Visser
[52:23] Labs that directs people to all the
[52:25] places that I am, cuz I am everywhere
[52:28] all the time. Uh if you go to
[52:30] 22vai.research.com,
[52:33] um that's where my subscriber stuff is.
[52:35] 22v
[52:37] ai.research.com.
[52:39] Amazing. Jordy, thank you. We'll do it
[52:40] again next Friday.
[52:42] Saturday.
[52:42] >> Thanks, bud. I'll be back in New York
[52:43] next week. Thanks, Jordy. We'll do next
[52:45] Saturday.

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