WEBVTT - Your AI Stocks Are at Risk! | Do THIS Before It’s Too Late!

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<v Speaker 1>AI stocks have been on fire, but most investors don't

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<v Speaker 1>realize they're walking into a trap. Now, the entire market

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<v Speaker 1>got a wake up call when China's deep Seek released

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<v Speaker 1>an open source AI model that's shocked everyone overnight. The

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<v Speaker 1>way that investors value stocks, AI stocks, and even indexes

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<v Speaker 1>has completely changed. So if you're holding AI stocks, you

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<v Speaker 1>need to hear this before it's too late. But of

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<v Speaker 1>course don't panic. Look this isn't the end of AI investing.

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<v Speaker 1>In fact, there's a massive opportunity if you know where

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<v Speaker 1>to look. So in this video, I'm going to break

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<v Speaker 1>down why the AI market is breaking down right now,

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<v Speaker 1>how open source models light deep Seek is forcing a

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<v Speaker 1>total rethink of AI stocks and just stocks overall on

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<v Speaker 1>the valuations, and we're going to talk about where the

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<v Speaker 1>smart money is moving next and how to position yourself

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<v Speaker 1>for the biggest gains in the AI next wave real quick.

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<v Speaker 1>I'm Mark Moss. I've built and exited multiple tech companies.

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<v Speaker 1>I've invested through several boom and bus cycles. Today I'm

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<v Speaker 1>a partner at a leading bitcoin venture capital fund called

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<v Speaker 1>the Bitcoin Opportunity Fund. I also write the Quantum Wave

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<v Speaker 1>Investment Report or help investors navigate the biggest shifts in

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<v Speaker 1>tech and money, and I make these videos to give

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<v Speaker 1>you the insights that we're using so you can navigate

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<v Speaker 1>and profit from these shifts as well. So let's go

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<v Speaker 1>all right, we're jumping right into it. We're talking about

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<v Speaker 1>how AI investing is breaking down. Now listen, Look, this

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<v Speaker 1>is not a doom in gloom video. AI is massively transformative.

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<v Speaker 1>It is going to create massive efficiencies, and it is

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<v Speaker 1>changing the world. I use it every day. I'm making

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<v Speaker 1>money invest in it. But if you don't understand the

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<v Speaker 1>nuances of how this shifts, you could lose money. So

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<v Speaker 1>let's break this down. Okay, we know if you living

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<v Speaker 1>under rock that AI has completely skyrocketed really from about

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<v Speaker 1>twenty twenty two to twenty twenty three. It's not that old,

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<v Speaker 1>right open AI storm. The scene was that November of

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<v Speaker 1>twenty twenty two, So all twenty twenty three and twenty

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<v Speaker 1>twenty four, it has been blowing up. It's the darling.

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<v Speaker 1>Wall Street loves that. Every investment newsletter's talking about it,

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<v Speaker 1>and it's like all in right, except for the problem

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<v Speaker 1>is that the way technology works is it moves through

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<v Speaker 1>different cycles, and so what we're seeing is the AI

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<v Speaker 1>business model is changing really rapidly. Right, This technology is

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<v Speaker 1>moving so much faster than previous technology cycles in the past.

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<v Speaker 1>But if you understand that, which I'm going to break

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<v Speaker 1>down for you, you can see that the models shifting.

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<v Speaker 1>So if you're still investing like you were in twenty two,

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<v Speaker 1>twenty three, and twenty four, you're gonna be losing money.

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<v Speaker 1>And now that we'd be losing money, you'll be missing

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<v Speaker 1>out on the massive gains that we have. Now we

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<v Speaker 1>can look at historical parallels the dot com boom and bust,

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<v Speaker 1>we can look at the crypto sort of boom and bust,

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<v Speaker 1>and we can understand the fractals. We can understand how

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<v Speaker 1>those markets evolved. We'll compare it to history and technology

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<v Speaker 1>to understand that, and we can understand that the AI

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<v Speaker 1>stocks that most people think about today open AI being

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<v Speaker 1>the leader, of course Google with their Gemini and so forth,

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<v Speaker 1>they're not really monopolies. And really what it's highlighting is

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<v Speaker 1>that valuation is only a concern when the underl buying

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<v Speaker 1>fundamentals change, and that's the problem. Those fundamentals are changing. Okay,

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<v Speaker 1>so let's understand this so you know how to navigate

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<v Speaker 1>the cycles. Okay, first of all, we do want to

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<v Speaker 1>understand that this is not just about AI or tech

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<v Speaker 1>or stock. It's all the markets as we know them.

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<v Speaker 1>I'm talking about the S and P five hundred specifically,

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<v Speaker 1>I'm talking about the NASDAC. All right, So, right now,

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<v Speaker 1>a lot of people are with your four oh and k,

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<v Speaker 1>your mutual funds or financial advisors. Maybe you're just like

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<v Speaker 1>every two weeks investing and you're allocating to the Nasdaq.

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<v Speaker 1>You're passively investing. That's going to be super dangerous. I'll

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<v Speaker 1>show you why. So the market is highly concentrated. As

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<v Speaker 1>a matter of fact, concentration in the market is at

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<v Speaker 1>an all time high. If to sort of take a

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<v Speaker 1>look at this, looking at the Nasdaq again, the Nasdaq

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<v Speaker 1>one hundred here is this again represents the tech stocks,

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<v Speaker 1>which is where all the growth is. You've heard me

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<v Speaker 1>talk about the investing black hole and how basically only

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<v Speaker 1>bitcoin and the Nasdaq have been keeping up with the

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<v Speaker 1>real rate of inflation of debasement. And so we can

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<v Speaker 1>see the NASDAC right here. This goes back. This is

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<v Speaker 1>the two thousand dot com boom and bust right here,

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<v Speaker 1>and of course here we are today. Now this looks

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<v Speaker 1>pretty good if you would have just bought here and

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<v Speaker 1>held tell here he did pretty good. Of course, in

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<v Speaker 1>the dot com boom, we had an eighty one percent

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<v Speaker 1>draw down, pretty massive eighty one. Now, the one thing

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<v Speaker 1>to keep in mind about that eighty one percent draw

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<v Speaker 1>down is it took a decade or more just to

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<v Speaker 1>get back to even In the year two thousand and eight,

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<v Speaker 1>the Great Financial Crash, we had a fifty percent draw

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<v Speaker 1>down in the Nasdaq. In twenty twenty, during the pandemic,

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<v Speaker 1>we had a thirty six percent draw down. Now, one

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<v Speaker 1>thing you might notice is that these draw downs are

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<v Speaker 1>getting less and less, from eighty one to fifty to thirty.

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<v Speaker 1>You notice that. So this fits into why I continually

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<v Speaker 1>tell you that what we're seeing as a crash up,

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<v Speaker 1>not a crash down. The way that the government has

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<v Speaker 1>used debt, especially around this period right here, fiscal spending

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<v Speaker 1>has changed these markets. Anyway, we're not talking about that

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<v Speaker 1>in this video. But you can see that the Nasdaq

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<v Speaker 1>has gone up. But the thing that I want to

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<v Speaker 1>draw your attention to is the concentration that's happening in

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<v Speaker 1>the Nasdaq. So what this shows is the largest ten

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<v Speaker 1>percent of stocks as a percent of the total value

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<v Speaker 1>of stocks. And what this shows us is that over

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<v Speaker 1>the past five and a half decades there's only been

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<v Speaker 1>two previous peaks in market concentration. So we saw that

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<v Speaker 1>right here in the seventies, we saw it again in

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<v Speaker 1>the two thousand dot Com boom and bust, and now

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<v Speaker 1>we see it again here today. Now I've put this

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<v Speaker 1>red line on there, so again I like to show

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<v Speaker 1>you the charts. You can see the direction, the size

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<v Speaker 1>of the speed of the moves, and you can see

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<v Speaker 1>that the concentration keeps getting bigger and bigger and bigger.

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<v Speaker 1>Now why is this important, Well, if you're buying the

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<v Speaker 1>Nasdaq index or the S and P five hundred index

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<v Speaker 1>for that matter, you're buying the S and P five

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<v Speaker 1>hundred because of the mag seven. Right, there's seven stocks

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<v Speaker 1>that are driving most of that entire index. In the Nasdaq,

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<v Speaker 1>you're seeing about the same thing. The concentration of the

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<v Speaker 1>top ten is getting bigger. Now. The reason why this

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<v Speaker 1>is the problem is if you're passively invested into the

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<v Speaker 1>index and one or two of these companies, there's only seven,

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<v Speaker 1>and they have to be five hundred back seven. If

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<v Speaker 1>they drop, they bring the entire index down with them.

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<v Speaker 1>Super important to understand. Okay, so we can see that

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<v Speaker 1>concentration is at an all time high. Now what does

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<v Speaker 1>that mean? What are the historical parallels to this? Well,

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<v Speaker 1>we can see that historically speaking, high concentration equals high danger.

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<v Speaker 1>We can see that historically speaking, whenever we've reached these

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<v Speaker 1>levels of concentration, we've seen big crashes happen off the

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<v Speaker 1>back of that. Now we also have historical parallels to

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<v Speaker 1>where those happened, like the dot com boom, for example,

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<v Speaker 1>was when we had extreme tech optimism. Now I'm optimistic

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<v Speaker 1>about tech, but we had extreme tech optimism in the seventies.

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<v Speaker 1>Same thing that was when the microprocessor came out. You

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<v Speaker 1>might know from my quantum wave thesis the last one

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<v Speaker 1>started in nineteen seventy one, right at that peak. I'll

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<v Speaker 1>show you more than that in a second. We also

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<v Speaker 1>had a sudden change in the models. I'm going to

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<v Speaker 1>talk about that in a second. But this is pricing

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<v Speaker 1>the nasdak in gold. This is from my friend Luke

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<v Speaker 1>Grammanov at FFTT. Check him out. He's worth a follow.

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<v Speaker 1>But what we want to do is we want to

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<v Speaker 1>look at things if they're expensive or cheap priced in

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<v Speaker 1>other things, not just US dollars, because if we look

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<v Speaker 1>at US dollars, it's always manipulated. So here's the Nasdaq

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<v Speaker 1>priced in gold. Again, during the dot com boom got

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<v Speaker 1>really expensive, but we can see that it's basically been

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<v Speaker 1>breaking down ever since, and it's been in this range

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<v Speaker 1>right here, and so again if you're passively invested in

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<v Speaker 1>index and to be wary of that, and especially when

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<v Speaker 1>they're sudden changes in the technology, which is what happened

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<v Speaker 1>in nineteen seventy. In the year two thousand, all right,

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<v Speaker 1>so what are we talking about? How is AI changing

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<v Speaker 1>and what do we need to be aware of? Well,

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<v Speaker 1>what really happened. I made a video a few weeks ago.

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<v Speaker 1>I think it was talking about deep Seat. Deep Seat

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<v Speaker 1>was a new open source LLM, a new AI model

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<v Speaker 1>that was released from a company in China. But what

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<v Speaker 1>happened is when that was released, we saw the entire

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<v Speaker 1>market plunge. In video, Everyone's Darling plunged time, but the

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<v Speaker 1>entire market plunged, And I made a video. I'll link

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<v Speaker 1>to it down below. You should watch that to really understand.

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<v Speaker 1>But basically what it did is exposed that all our

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<v Speaker 1>models for evaluating these companies, the growth of these companies

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<v Speaker 1>and even the way that money goes into the index

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<v Speaker 1>of the NASDAC has completely changed. And so it highlighted

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<v Speaker 1>that everything that we thought we knew we don't know anymore. Now.

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<v Speaker 1>One of the things that we saw is that because

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<v Speaker 1>deep seek was an open source LLM, then what it

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<v Speaker 1>did is it's shone a light on all the AI

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<v Speaker 1>monopolies that we saw again Open Ai, Google, those types

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<v Speaker 1>of companies, Cloud, etc. It showed that their pricing is over.

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<v Speaker 1>How can any of those open AI or gym and

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<v Speaker 1>how could they be charging when we have open source

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<v Speaker 1>models that are better. And so that changed all that

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<v Speaker 1>we saw that AI's paywall is losing pricing power eventually

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<v Speaker 1>be priced out completely. And what that's showing is that

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<v Speaker 1>the entire AI stock market needs to be reevaluated. Now

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<v Speaker 1>It's not just this, there's all types of now AI gateways,

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<v Speaker 1>AI agents that are now bridging all of the aillms together.

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<v Speaker 1>So for example, now for like five bucks a month,

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<v Speaker 1>I could get access to all of them without having

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<v Speaker 1>to pay for them individually. So we're seeing this but

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<v Speaker 1>now again like these open source models are completely changing this.

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<v Speaker 1>So then the question is again is if lllms are free,

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<v Speaker 1>where does the value go? Well, good thing, I have

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<v Speaker 1>an answer for you, because history tells us that. And

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<v Speaker 1>of course I've been investing in technology for decades. So

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<v Speaker 1>let me show you how we look at this. So

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<v Speaker 1>open source shift. So it started where I think, right

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<v Speaker 1>where open ai hit the scene and they raised a

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<v Speaker 1>ton of money. Right they're the Wall Street Darland, They're

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<v Speaker 1>gaining all this momentum. And where I've really first started

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<v Speaker 1>noticing it is Meta. Facebook Meta launched Lama, which is

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<v Speaker 1>an open source LLM, a large language model an AI.

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<v Speaker 1>And when I saw that happen, it made me stop

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<v Speaker 1>and think, why would Facebook, who's changed their name to Meta,

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<v Speaker 1>who's rushing into the space, Why would they open up

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<v Speaker 1>a free, open source model when the apparent model seems

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<v Speaker 1>to be like open AI and try to raise a

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<v Speaker 1>bunch of money and be worth a lot of money.

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<v Speaker 1>Why would Facebook do that? And one of my thoughts was, well,

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<v Speaker 1>Facebook is worth i don't know, ten times twenty times

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<v Speaker 1>more than open AI. Open AA is not really a

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<v Speaker 1>threat to them today, there's really small. If Facebook opens

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<v Speaker 1>up a open source LLM, they neutralize opening I how

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<v Speaker 1>can opening I be worth any money if now there's

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<v Speaker 1>all the free ones that are even better, And so

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<v Speaker 1>it seemed like it was like maybe Zuckerberg playing forty

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<v Speaker 1>chess when open AI and he's trying to kind of

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<v Speaker 1>play the old playbook. That was what I thought at first.

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<v Speaker 1>But it's changed a little bit, and I'm going to

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<v Speaker 1>show you where the real value is accruing. Now we

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<v Speaker 1>can see this other open source models, code gen, which

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<v Speaker 1>is Salesforce CRM, so the giant the CRM space. So

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<v Speaker 1>we're seeing like SaaS companies jumping into the space. Goose

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<v Speaker 1>which is an open it's an open source AI agent

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<v Speaker 1>project from Jack Dorsey, the founder of Twitter. Now he's

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<v Speaker 1>head a block deep Seek. Of course, since deep Sea

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<v Speaker 1>came how just a few weeks ago, we've seen like

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<v Speaker 1>half a dozen more come out of China. They're coming

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<v Speaker 1>out in mass A small business owner, are you buried

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<v Speaker 1>in all types of work keeping you from the real

0:11:11.120 --> 0:11:13.720
<v Speaker 1>thing that makes you money? Well that's where just Works

0:11:13.760 --> 0:11:15.960
<v Speaker 1>comes in. They're the all in one platform that supports

0:11:16.040 --> 0:11:19.000
<v Speaker 1>small business growth. You can get all their tools that

0:11:19.040 --> 0:11:22.760
<v Speaker 1>help with benefits like payroll and HR and compliance with

0:11:22.920 --> 0:11:26.880
<v Speaker 1>transparent pricing. Now they help you hire top talent internationally,

0:11:26.920 --> 0:11:31.200
<v Speaker 1>internew markets, quickly scale international operations without the workload, and

0:11:31.280 --> 0:11:34.160
<v Speaker 1>forevery how do I do it? Question? You can reach

0:11:34.160 --> 0:11:37.360
<v Speaker 1>out to their expert staff from sole proprietor or a

0:11:37.400 --> 0:11:40.800
<v Speaker 1>team of twenty. Just Works empowers all kinds of small

0:11:40.840 --> 0:11:45.040
<v Speaker 1>businesses with real human support. So visit Justworks dot com

0:11:45.080 --> 0:11:48.440
<v Speaker 1>slash podcast to join the thousands of small businesses that

0:11:48.480 --> 0:11:52.199
<v Speaker 1>trust just Works to take care of payroll, benefits, compliance

0:11:52.320 --> 0:11:58.040
<v Speaker 1>and more. Again that's Justworks dot com slash podcasts. But

0:11:58.120 --> 0:11:59.240
<v Speaker 1>really what we want to do is we want to

0:11:59.240 --> 0:12:02.200
<v Speaker 1>look back to the dot and even crypto models to

0:12:02.240 --> 0:12:06.559
<v Speaker 1>really understand how this works. Where does the value accrue? Now,

0:12:06.600 --> 0:12:08.880
<v Speaker 1>you might have seen me use this chart. If you

0:12:08.960 --> 0:12:10.679
<v Speaker 1>watch my content, you see me use this chart all

0:12:10.720 --> 0:12:13.960
<v Speaker 1>the time. And you understand that in these quantum wave cycles,

0:12:14.160 --> 0:12:16.320
<v Speaker 1>we have about a fifty year cycle and they happen

0:12:16.480 --> 0:12:19.480
<v Speaker 1>in these four phases, and we need to understand that

0:12:19.480 --> 0:12:23.480
<v Speaker 1>the way that we invest through each phase changes. So

0:12:23.520 --> 0:12:25.800
<v Speaker 1>the way that I invested here is going to be

0:12:25.840 --> 0:12:27.800
<v Speaker 1>different than the way and the companies I invest in

0:12:27.840 --> 0:12:31.080
<v Speaker 1>here different here and so forth. All right, So right

0:12:31.120 --> 0:12:35.080
<v Speaker 1>now we are right here starting this second phase, and

0:12:35.120 --> 0:12:37.800
<v Speaker 1>so the old way of investing no longer works. So

0:12:38.200 --> 0:12:40.640
<v Speaker 1>let me break it down with some parallels. We think

0:12:40.679 --> 0:12:44.559
<v Speaker 1>about technology in layers, all right, Technology scales and layers

0:12:44.600 --> 0:12:47.319
<v Speaker 1>is what most people misunderstand, and so they think the

0:12:47.320 --> 0:12:49.400
<v Speaker 1>Internet was too slow, can't scale. Let's go spend a

0:12:49.440 --> 0:12:52.600
<v Speaker 1>billion dollars in intranets. Bitcoin is too slow, can't scale.

0:12:52.640 --> 0:12:55.720
<v Speaker 1>Let's go try all these crypto projects without understanding that

0:12:55.720 --> 0:12:59.040
<v Speaker 1>technology scales and layers, but also the way value accruise

0:12:59.080 --> 0:13:01.080
<v Speaker 1>happens in layers. So what do I mean by that?

0:13:01.240 --> 0:13:03.319
<v Speaker 1>If you think about the Internet, we have a base

0:13:03.440 --> 0:13:05.280
<v Speaker 1>layer of the Internet, right, so this would be like

0:13:05.400 --> 0:13:09.800
<v Speaker 1>TCP and IP, right, and then we want email, so

0:13:09.840 --> 0:13:13.840
<v Speaker 1>then we have like SMTP, and then we want security,

0:13:13.920 --> 0:13:17.280
<v Speaker 1>so we have like https. Right. You know what those

0:13:17.280 --> 0:13:20.600
<v Speaker 1>things are all right, but no value as a crude

0:13:20.800 --> 0:13:26.200
<v Speaker 1>at this base layer TCP, IP protocol, SMTPA, CTPS protocols,

0:13:25.960 --> 0:13:30.080
<v Speaker 1>they're not worth anything. They're just open source protocols. Where

0:13:30.120 --> 0:13:33.760
<v Speaker 1>all the value has accrued is on higher levels, so

0:13:34.000 --> 0:13:38.760
<v Speaker 1>on the applications. So for example, you have Google. Google

0:13:38.800 --> 0:13:41.960
<v Speaker 1>created Chrome and now you have all these Chrome plugins

0:13:42.040 --> 0:13:44.520
<v Speaker 1>right here that are worth a lot of money. You

0:13:44.520 --> 0:13:46.200
<v Speaker 1>can think about this like with the iPhone. You have

0:13:46.240 --> 0:13:48.320
<v Speaker 1>the iPhone, which obviously you create a lot of value,

0:13:48.440 --> 0:13:50.080
<v Speaker 1>but then think about the app store and think about

0:13:50.080 --> 0:13:53.400
<v Speaker 1>all the apps inside of that, all right, So this

0:13:53.440 --> 0:13:56.440
<v Speaker 1>is where the value is accrued, not on the base layer,

0:13:56.679 --> 0:13:59.080
<v Speaker 1>but on the stack, all right. We can think about

0:13:59.120 --> 0:14:03.000
<v Speaker 1>the same thing with bigcoin. Now, we had Bitcoin, which

0:14:03.040 --> 0:14:07.160
<v Speaker 1>is a protocol, It's a protocol that transfers data, right,

0:14:08.200 --> 0:14:10.800
<v Speaker 1>and obviously value is accruing there, but not so much

0:14:10.800 --> 0:14:13.080
<v Speaker 1>on the protocol, but the asset Bitcoin, the asset, not

0:14:13.120 --> 0:14:17.120
<v Speaker 1>the network. Now we have companies that are building layers

0:14:17.640 --> 0:14:20.720
<v Speaker 1>on top of the Bitcoin stack, and so certainly the

0:14:20.720 --> 0:14:22.800
<v Speaker 1>Bitcoin network has a crude value, but then we have

0:14:22.880 --> 0:14:25.080
<v Speaker 1>even more value being accrued up peer. That's what my

0:14:25.200 --> 0:14:28.360
<v Speaker 1>fund investment we invest into these. But back to the

0:14:28.800 --> 0:14:31.160
<v Speaker 1>topic that we're talking about right now, which is AI,

0:14:31.360 --> 0:14:33.560
<v Speaker 1>we're seeing the same thing. So what I would say

0:14:33.680 --> 0:14:37.320
<v Speaker 1>is these lms are like a base layer. So the

0:14:37.440 --> 0:14:40.000
<v Speaker 1>lms are now open source, the deep seek, the LAMA,

0:14:40.160 --> 0:14:43.800
<v Speaker 1>all those things, and there's no value accruing there. They're

0:14:43.840 --> 0:14:45.880
<v Speaker 1>all racing down to the bottom. They're all for free.

0:14:46.040 --> 0:14:50.360
<v Speaker 1>Where the value gets accrued is on higher levels. So

0:14:50.400 --> 0:14:53.520
<v Speaker 1>it's on the applications, the narrow specific use cases that

0:14:53.560 --> 0:14:56.280
<v Speaker 1>are being built on top of the open source model.

0:14:56.600 --> 0:14:58.400
<v Speaker 1>And so we can see right now today the smart

0:14:58.400 --> 0:15:01.760
<v Speaker 1>money isn't just betting on AI. That was the old way,

0:15:01.800 --> 0:15:04.040
<v Speaker 1>that was twenty three, twenty four. Now it's betting on

0:15:04.080 --> 0:15:07.080
<v Speaker 1>the right layer of AI. Which layer do we want

0:15:07.080 --> 0:15:08.600
<v Speaker 1>to invest and do the same way might fund investing

0:15:08.560 --> 0:15:10.920
<v Speaker 1>in to bitcoin? Which layer do we want to invest into?

0:15:11.360 --> 0:15:14.000
<v Speaker 1>Now I'll show you that. Don't worry. Now, I am

0:15:14.080 --> 0:15:16.560
<v Speaker 1>gonna break this down in greater detail and show you

0:15:16.600 --> 0:15:19.080
<v Speaker 1>what different types of projects and companies are being built there.

0:15:19.440 --> 0:15:21.120
<v Speaker 1>If you want to join me next week, we're gonna

0:15:21.160 --> 0:15:23.280
<v Speaker 1>go live deep into this. I got I don't know,

0:15:23.320 --> 0:15:25.760
<v Speaker 1>thirty forty charts or I'll break all of this down

0:15:25.920 --> 0:15:27.560
<v Speaker 1>and then I'll take questions, so we'll talk about it.

0:15:27.560 --> 0:15:29.320
<v Speaker 1>We'll discuss it, figure out the best way to find

0:15:29.320 --> 0:15:31.120
<v Speaker 1>these companies invest into them. I'll throw you a couple

0:15:31.120 --> 0:15:32.560
<v Speaker 1>of names that I like. If you want to come

0:15:32.640 --> 0:15:34.480
<v Speaker 1>join me, it's all for free. I'll put a link

0:15:34.520 --> 0:15:37.480
<v Speaker 1>down there down below. Come hang out. Let's have fun

0:15:37.520 --> 0:15:39.800
<v Speaker 1>talking about this. Let's discuss it all. Like I said, live,

0:15:39.880 --> 0:15:41.520
<v Speaker 1>Q and A and so much more. Join me for

0:15:41.520 --> 0:15:45.400
<v Speaker 1>free and the link down below. Okay, now, what we're

0:15:45.440 --> 0:15:48.440
<v Speaker 1>seeing because of this is a massive shift of capital.

0:15:48.720 --> 0:15:51.200
<v Speaker 1>And it's not just from AI based layer to a

0:15:51.680 --> 0:15:55.120
<v Speaker 1>higher level. Like I said, it's an entire index. It's

0:15:55.200 --> 0:15:58.440
<v Speaker 1>even an entire continent. So what I'm talking about, Well,

0:15:58.480 --> 0:16:02.600
<v Speaker 1>if China is now pushing these open source models, what

0:16:02.640 --> 0:16:04.680
<v Speaker 1>we're seeing is that the US has sort of been

0:16:04.800 --> 0:16:07.160
<v Speaker 1>competing more of a scarcity, right, we got to compete.

0:16:07.280 --> 0:16:10.200
<v Speaker 1>Let's keep China out of the game. But China is

0:16:10.240 --> 0:16:12.800
<v Speaker 1>trying to compete. Now it's not an even playing field.

0:16:13.080 --> 0:16:15.320
<v Speaker 1>This is the whole conversation about tariffs and so forth,

0:16:15.360 --> 0:16:18.080
<v Speaker 1>and you have a country that's subsidizing things, and that's

0:16:18.120 --> 0:16:19.960
<v Speaker 1>a whole other topic. We can make a video if

0:16:19.960 --> 0:16:21.960
<v Speaker 1>you want, drop me a comment down below. But what

0:16:22.000 --> 0:16:25.440
<v Speaker 1>we've seen is that China has been trying to outcompete us.

0:16:25.560 --> 0:16:28.120
<v Speaker 1>The US has been trying to protect but it's basically

0:16:28.280 --> 0:16:31.280
<v Speaker 1>forced the shift in the market where now open source

0:16:31.360 --> 0:16:35.480
<v Speaker 1>projects are now superior to companies that are trying to

0:16:35.560 --> 0:16:37.880
<v Speaker 1>protect the mote. If you're trying to protect the mote,

0:16:37.880 --> 0:16:39.200
<v Speaker 1>you're just not going to make it the world is

0:16:39.280 --> 0:16:41.480
<v Speaker 1>open source. Jack Dorsy tweeted this so much the other

0:16:41.560 --> 0:16:44.800
<v Speaker 1>day on Twitter saying or on x saying that the

0:16:44.800 --> 0:16:47.280
<v Speaker 1>world is open source and that is the future. It's

0:16:47.320 --> 0:16:50.000
<v Speaker 1>why I talk about decentralization all the time. But the

0:16:50.080 --> 0:16:53.000
<v Speaker 1>question is if this is happening. We know that the

0:16:53.160 --> 0:16:55.680
<v Speaker 1>US has been the financial hub of the world. We

0:16:55.760 --> 0:16:58.240
<v Speaker 1>know that the US stock markets S and P five

0:16:58.320 --> 0:17:01.040
<v Speaker 1>hundred and the Nasdaq are the great investment markets in

0:17:01.080 --> 0:17:02.960
<v Speaker 1>the world. We know all that money is accrueing there,

0:17:02.960 --> 0:17:06.720
<v Speaker 1>all the businesses are listed there. But if China is

0:17:06.760 --> 0:17:10.080
<v Speaker 1>out competing US, does some of that money start leaving

0:17:10.119 --> 0:17:12.560
<v Speaker 1>the US and going to China. Well, I have a

0:17:12.640 --> 0:17:16.240
<v Speaker 1>chart to answer that question. What we can see right here,

0:17:16.800 --> 0:17:18.359
<v Speaker 1>as you know again if you watch my videos on

0:17:18.400 --> 0:17:21.280
<v Speaker 1>a regular basis the reason why, and I hinted too earlier,

0:17:21.320 --> 0:17:23.000
<v Speaker 1>the reason why we see the stock markets going up

0:17:23.040 --> 0:17:24.959
<v Speaker 1>so high is because the amount of money that they

0:17:24.960 --> 0:17:27.600
<v Speaker 1>continue to print right through the debasement. And what we

0:17:27.640 --> 0:17:29.840
<v Speaker 1>can see here is that. So what we have here

0:17:30.000 --> 0:17:33.159
<v Speaker 1>is on the red line, we have the Nasdaq one

0:17:33.320 --> 0:17:36.199
<v Speaker 1>hundred going up, that's right here. But what we have

0:17:36.400 --> 0:17:41.600
<v Speaker 1>on the green line is the US net investment position.

0:17:42.080 --> 0:17:43.800
<v Speaker 1>So this is the amount of money that went in,

0:17:44.000 --> 0:17:47.000
<v Speaker 1>which you can see is higher than the amount of

0:17:47.080 --> 0:17:49.520
<v Speaker 1>the Nasdaq itself. And what we have in the blue

0:17:49.560 --> 0:17:53.639
<v Speaker 1>line down here is the foreign direct investment in US equities,

0:17:54.119 --> 0:17:57.560
<v Speaker 1>mainly coming from China. So what happens is, just like you,

0:17:58.080 --> 0:18:01.200
<v Speaker 1>a country has surpluses, so they have trades, exports, they

0:18:01.200 --> 0:18:03.720
<v Speaker 1>have imports, they have surpluses, they have savings. What do

0:18:03.760 --> 0:18:06.240
<v Speaker 1>they do with that, Well, they put it somewhere and

0:18:06.320 --> 0:18:08.879
<v Speaker 1>in this case, a lot of that has been being recycled,

0:18:08.960 --> 0:18:12.240
<v Speaker 1>used to be recycled into US treasuries, still is a

0:18:12.240 --> 0:18:14.840
<v Speaker 1>lot of it is has been recycled into the NASDAK

0:18:14.880 --> 0:18:17.320
<v Speaker 1>and that's exactly what we've seen. So China has been

0:18:17.359 --> 0:18:21.600
<v Speaker 1>recycling a substantial portion of its surpluses into these US equities,

0:18:21.800 --> 0:18:25.000
<v Speaker 1>which is pushed the entire index up. But back to

0:18:25.040 --> 0:18:28.480
<v Speaker 1>the competing angle. Now, if China now is moving ahead

0:18:28.480 --> 0:18:31.040
<v Speaker 1>in tech, which they've already sort of outpaced the US

0:18:31.040 --> 0:18:33.480
<v Speaker 1>with evs and batteries and lots of things like that,

0:18:34.080 --> 0:18:36.280
<v Speaker 1>will a lot of that Chinese money, instead of going

0:18:36.320 --> 0:18:39.600
<v Speaker 1>to the Nasdaq start going to their own indexes. So

0:18:39.640 --> 0:18:42.800
<v Speaker 1>we're seeing a massive disruption here all over the place.

0:18:43.000 --> 0:18:44.800
<v Speaker 1>So the question or the thing we need to ponder

0:18:44.880 --> 0:18:48.160
<v Speaker 1>is not only is AI itself changing, but the global

0:18:48.240 --> 0:18:51.399
<v Speaker 1>flow of capital is shifting as well. If you have

0:18:51.440 --> 0:18:53.880
<v Speaker 1>to understand these things if you want to have success

0:18:54.160 --> 0:18:57.040
<v Speaker 1>with your portfolio, because the world is changing rapidly. It's

0:18:57.040 --> 0:18:59.760
<v Speaker 1>always technology that changes the world, and in these quantum

0:18:59.760 --> 0:19:01.720
<v Speaker 1>wave cycles like we're in right now, it's where all

0:19:01.760 --> 0:19:04.919
<v Speaker 1>the change happens. Okay, so what is this next phase

0:19:04.960 --> 0:19:08.240
<v Speaker 1>for AI? Well, the losers, the ones that are getting

0:19:08.280 --> 0:19:13.240
<v Speaker 1>left behind are the AI monopolies, the open ais, the Googles, right,

0:19:13.320 --> 0:19:14.919
<v Speaker 1>those are the ones that are trying to kind of

0:19:15.119 --> 0:19:17.359
<v Speaker 1>hold their LLM behind a paywall. They're going to be

0:19:17.400 --> 0:19:23.440
<v Speaker 1>the losers. Chip stocks Nvidia AMD why because they were

0:19:23.480 --> 0:19:27.159
<v Speaker 1>pricing in unlimited demand. But what Deepseak showed us is

0:19:27.160 --> 0:19:29.840
<v Speaker 1>that they're able to train these AIM models for way

0:19:29.920 --> 0:19:33.359
<v Speaker 1>cheaper with way less GPUs than we thought. So instead

0:19:33.400 --> 0:19:35.520
<v Speaker 1>of the demand for chips being like this, we find

0:19:35.560 --> 0:19:38.080
<v Speaker 1>out it's probably more like this, and as technology continues

0:19:38.119 --> 0:19:41.200
<v Speaker 1>to accelerate, it might even be more like this. So

0:19:41.359 --> 0:19:43.479
<v Speaker 1>those are ones we want to watch out for. We

0:19:43.520 --> 0:19:46.359
<v Speaker 1>also want to watch out for all the hype driven narratives. Right,

0:19:46.400 --> 0:19:48.240
<v Speaker 1>So all these companies that are trying to ride this

0:19:48.320 --> 0:19:51.320
<v Speaker 1>hype train we're talking about, like AI SaaS companies think

0:19:51.359 --> 0:19:55.000
<v Speaker 1>about Salesforce launching their open AM model or their LM model.

0:19:55.200 --> 0:19:58.920
<v Speaker 1>So hype driven AI SaaS companies with no moat again, right,

0:19:59.119 --> 0:20:01.720
<v Speaker 1>there is no mot This is all going down. It's

0:20:01.760 --> 0:20:03.199
<v Speaker 1>going to be a base layer and they're all going

0:20:03.280 --> 0:20:05.680
<v Speaker 1>to be basically competing as commodities. So who will the

0:20:05.720 --> 0:20:08.120
<v Speaker 1>winners be? Where will the real money go? Where will

0:20:08.160 --> 0:20:12.600
<v Speaker 1>the real money be made? Well, AI high value applications,

0:20:12.960 --> 0:20:17.120
<v Speaker 1>narrow niche use cases, high value applications on top of

0:20:17.160 --> 0:20:19.800
<v Speaker 1>the open source llms. Let me give you an example.

0:20:20.640 --> 0:20:23.760
<v Speaker 1>In twenty twenty two, when open ai released, you had

0:20:23.800 --> 0:20:27.040
<v Speaker 1>all the open APIs you could use. You could do anything.

0:20:27.119 --> 0:20:30.560
<v Speaker 1>You can create images, you could to create text, right, code, whatever. Well,

0:20:30.600 --> 0:20:32.879
<v Speaker 1>when people are faced with I could do anything, they

0:20:32.880 --> 0:20:34.639
<v Speaker 1>don't know what to do. So there was an app

0:20:34.640 --> 0:20:38.000
<v Speaker 1>you might remember created called lensa AI and all it

0:20:38.000 --> 0:20:41.240
<v Speaker 1>did was just use the APIs that open i had produced.

0:20:41.400 --> 0:20:43.160
<v Speaker 1>But with LENDSAI, I could take a picture of myself

0:20:43.200 --> 0:20:46.120
<v Speaker 1>and it would give me back ten avatars. A very

0:20:46.200 --> 0:20:47.919
<v Speaker 1>narrow use case of what the whole thing could do.

0:20:48.600 --> 0:20:50.879
<v Speaker 1>But it got so popular so fast. I believe in

0:20:50.920 --> 0:20:53.679
<v Speaker 1>like ninety days it was worth like a billion dollars

0:20:54.240 --> 0:20:55.800
<v Speaker 1>because it was a very narrow use case. And that's

0:20:55.840 --> 0:20:58.840
<v Speaker 1>what we're talking about, high value applications on top of

0:20:59.359 --> 0:21:02.720
<v Speaker 1>the base layer, the open source lms. Specifically, I'm looking

0:21:02.760 --> 0:21:08.400
<v Speaker 1>for where bitcoin, AI, and open source decentralization, where all

0:21:08.440 --> 0:21:11.240
<v Speaker 1>those things converge so we have a new set of

0:21:11.280 --> 0:21:15.800
<v Speaker 1>building blocks. What happens when we use these three together,

0:21:15.840 --> 0:21:17.880
<v Speaker 1>where they converge and build things that we can't even

0:21:17.920 --> 0:21:22.320
<v Speaker 1>imagine today. And AI infrastructure provides that it doesn't really

0:21:22.400 --> 0:21:26.080
<v Speaker 1>high on close sourced models. Again, it's all moving to

0:21:26.160 --> 0:21:28.920
<v Speaker 1>open source. That's the big theme. Hopefully you're catching onto that.

0:21:28.960 --> 0:21:31.640
<v Speaker 1>I've been talking about what I call the decentralized revolution

0:21:31.920 --> 0:21:34.159
<v Speaker 1>for about five years now. Okay, now, how do we

0:21:34.200 --> 0:21:36.800
<v Speaker 1>play this? What does this mean to us? Well, one,

0:21:36.840 --> 0:21:38.960
<v Speaker 1>we have to understand the game is changing, right and

0:21:39.040 --> 0:21:42.800
<v Speaker 1>we understand through historical parallels exactly how that changes. Number Two,

0:21:43.040 --> 0:21:45.800
<v Speaker 1>we have to understand that passive investing is super dangerous

0:21:45.880 --> 0:21:47.919
<v Speaker 1>right now, because, as I said, if we have this

0:21:48.080 --> 0:21:51.159
<v Speaker 1>over concentration, if one or two of these companies that

0:21:51.200 --> 0:21:53.840
<v Speaker 1>are at risk right now. If they drop, the entire

0:21:53.920 --> 0:21:56.919
<v Speaker 1>index can drop. On top of that, we realize that

0:21:57.200 --> 0:21:59.600
<v Speaker 1>maybe China could steal some of that capital, take their

0:21:59.640 --> 0:22:02.000
<v Speaker 1>capital back even to their own markets. We also know

0:22:02.080 --> 0:22:04.880
<v Speaker 1>that most likely there's this next four or five year

0:22:04.920 --> 0:22:07.920
<v Speaker 1>cycle we're going to see a massive amount of monetary debasement,

0:22:08.160 --> 0:22:10.159
<v Speaker 1>and so that also manipulates what we see in the

0:22:10.240 --> 0:22:13.200
<v Speaker 1>Nasdaq or the indexes. So I think in order to survive,

0:22:13.240 --> 0:22:16.000
<v Speaker 1>we need to be much more selective in the companies,

0:22:16.200 --> 0:22:19.280
<v Speaker 1>specifically looking for the ones that are in that convergence.

0:22:19.400 --> 0:22:21.720
<v Speaker 1>Right in those three those are the ones that's going

0:22:21.800 --> 0:22:23.720
<v Speaker 1>to be where the biggest gains, and they're going to

0:22:23.720 --> 0:22:27.119
<v Speaker 1>come again from the convergence of bitcoin, AI and open

0:22:27.119 --> 0:22:31.280
<v Speaker 1>source where those three things work together. Individually, yeah sure great,

0:22:31.359 --> 0:22:34.760
<v Speaker 1>but together is where the magic made. Where that convergence is. Now,

0:22:34.800 --> 0:22:37.400
<v Speaker 1>if you want to know more about these cycles and

0:22:37.440 --> 0:22:39.879
<v Speaker 1>these three things converging again, come hang out with me

0:22:39.960 --> 0:22:42.159
<v Speaker 1>next week. It's all live, it's all free. There's a

0:22:42.200 --> 0:22:44.200
<v Speaker 1>link down below. I'll break out, like I said, thirty

0:22:44.240 --> 0:22:46.880
<v Speaker 1>forty charts. We'll dig through this in great detail. Tell

0:22:46.880 --> 0:22:49.280
<v Speaker 1>you where I'm focusing where my fund's focusing, and then

0:22:49.280 --> 0:22:51.560
<v Speaker 1>we'll discuss it. It's all open life, Juneing so much.

0:22:51.720 --> 0:22:53.680
<v Speaker 1>Come hang out with me, but that's what I got.

0:22:53.840 --> 0:22:55.919
<v Speaker 1>Let me know what you think about this. Hopefully you're

0:22:55.920 --> 0:22:58.600
<v Speaker 1>shifting your portfolio, and of course that's always give me

0:22:58.640 --> 0:22:59.800
<v Speaker 1>thumbs up if you like it. If you don't give

0:22:59.800 --> 0:23:01.560
<v Speaker 1>me the was down that it's okay. At least tell

0:23:01.560 --> 0:23:03.080
<v Speaker 1>me why. And that's what I got. All right, to

0:23:03.119 --> 0:23:04.760
<v Speaker 1>your success, I'm out,