Speaker 1: Bitcoin just hit one hundred thousand, and now it's pulling back.
Speaker 1: So is this the moment that everyone's been waiting for
Speaker 1: or the one they've been fearing? But what if I
Speaker 1: told you it's totally different. What if I told you
Speaker 1: this isn't just another milestone, It's actually part of a
Speaker 1: three hundred year pattern that predicts exactly what happens next. Now,
Speaker 1: for the last three centuries, this pattern has repeated itself
Speaker 1: five times, reshaping technology, wealth, and even the world. Now
Speaker 1: bitcoin is following the same blueprint. But what it means
Speaker 1: for the future is where things get truly shocking. So
Speaker 1: in this video, I'm gonna break down this three hundred
Speaker 1: year pattern. I'm gonna show you what it reveals about
Speaker 1: bitcoin's next move and why this moment could define the
Speaker 1: future of wealth creation, and give us a playbook for
Speaker 1: how to navigate all of this. My name is Mark Moss.
Speaker 1: I've been making videos on bitcoin for about eight years.
Speaker 1: I coached thousands of investors on investing. I'm a partner
Speaker 1: of a leading bitcoin venture capital fund called the Bitcoin
Speaker 1: Opportunity Fund on the cvo of Matador, a new public
Speaker 1: bitcoin company, and these models are what we use as
Speaker 1: our guides, So stick around because what happens next might
Speaker 1: surprise you and could even change everything. So let's go
Speaker 1: all right, So we're gonna jump right into this and
Speaker 1: we're gonna show you, using historical models where bitcoin goes
Speaker 1: well into the future. So the first thing is has
Speaker 1: bitcoin hit the ceiling or is this a new floor?
Speaker 1: Now we hit one hundred thousand dollars and yes, it
Speaker 1: has been pulling back at the time this recording depends
Speaker 1: on when you're watching this, So is this a by
Speaker 1: the dip moment or is it sell it short before
Speaker 1: it goes out? Is one hundred thousand the top? And
Speaker 1: really where does it go? Now? We have to understand
Speaker 1: that when prices are going up, there's psychological levels. So
Speaker 1: when bitcoin hit a thousand, that was a psychological level.
Speaker 1: When it got to ten thousand, it was a level,
Speaker 1: and now at one hundred thousand, it's a level. So
Speaker 1: we want to know where does it go from here?
Speaker 1: Is it too late, is it too expensive? Or are
Speaker 1: we going much higher much faster. Well, there's a couple
Speaker 1: of things we want to look at. So first of all,
Speaker 1: as I said, right, depending on when you're watching this,
Speaker 1: the price of bitcoin is pulling back from that level,
Speaker 1: the psychological level of one hundred thousand. But I want
Speaker 1: to show right we sat at this level. You have
Speaker 1: to understand things move up and down, and now we're
Speaker 1: in that same sort of a range. But remember this
Speaker 1: is a psychological level, and then we'll use history to
Speaker 1: see where we go. And one of the things that's
Speaker 1: happening from the psychological level is Bloomberg, which makes the
Speaker 1: Bloomberg terminal. You see me using charts from Bloomberg terminal
Speaker 1: all the time. It's about twenty to thirty thousand a
Speaker 1: month for a subscription to it to pull charts. This
Speaker 1: is where I mean, if you're can afford thirty thousand
Speaker 1: a month, this is where the institutional allocators play. And
Speaker 1: you can see in the Bloomberg terminal it now shows
Speaker 1: the bitcoin price as a percentage of one million, so
Speaker 1: it's no longer showing eighty thousand or one hundred thousand,
Speaker 1: it's now showing it as zero point one million. Of
Speaker 1: the reason why this is important is because what's known
Speaker 1: as unit bias. So a lot of people think that
Speaker 1: bitcoin's too expensive, so I'll buy something cheaper like those
Speaker 1: coin for example. The unit bias makes them think that
Speaker 1: they should buy something cheaper. But now the unit bias
Speaker 1: of allocators, institutional allocators now shows it as a fraction
Speaker 1: of one million. What do you think that does to
Speaker 1: the psychological level of these institutional allocators. The reason why
Speaker 1: I point at that for a second is because a
Speaker 1: lot of times when we're looking at macroeconomic pictures, we're
Speaker 1: looking at what central bankers and policies will do. You
Speaker 1: can't just look at the data. This is the gripe
Speaker 1: that I have with a lot of the people that
Speaker 1: are on YouTube, that I'm friends with, I speak at
Speaker 1: conferences with that are very very smart, some of them
Speaker 1: smarter than me, But they take out they don't take
Speaker 1: into account the psychological level, the psychological reasons behind these.
Speaker 1: They look at the data only, and you miss out
Speaker 1: a big piece. Now, another big psychological piece that we
Speaker 1: can talk about is Trump, who now wants to be
Speaker 1: the bitcoin president. As a matter of fact, he tweeted
Speaker 1: out congratulates in bitcoin on this one hundred thousand dollars level.
Speaker 1: He said, you're welcome. So think about this from a
Speaker 1: psychological level. Trump has now taken credit for the price
Speaker 1: hitting that level. I don't give him credit for it,
Speaker 1: but he's taking credit for it. So now psychologically he
Speaker 1: doesn't want to let that fall. He wants bitcoin to
Speaker 1: be his legacy making America great again. So where does
Speaker 1: that take bitcoin? How do we put that into account? Now?
Speaker 1: The last thing I want to say before I jump
Speaker 1: in and show you the historical model that's been hit
Speaker 1: three hundred times five times. Before I say that, I
Speaker 1: want to just say one more thing about union bias,
Speaker 1: and that is, if you think about bitcoin hitting one
Speaker 1: hundred thousand or whatever, it's ninety five thousand today, is
Speaker 1: it too late? And the question I would ask is
Speaker 1: the problem that most amateur what we call the dumb money.
Speaker 1: There's the smart money, which is institution allocators. There's a
Speaker 1: dumb money, which includes you and I. What the dumb
Speaker 1: money gets wrong is that most of those are looking
Speaker 1: in the rear view mirror. So what do I mean
Speaker 1: by that. Let's just use real estate for an example.
Speaker 1: You know my real estate background. A lot of people
Speaker 1: that I worked with, invested with, even my family had
Speaker 1: bought a lot of properties in Florida going into the
Speaker 1: twenty two thousand and five six two thousand and seven,
Speaker 1: when the real estate market was taking off, of course,
Speaker 1: that real estate market crash and the great financial crash
Speaker 1: of two thousand and eight. The bottom of that market
Speaker 1: happened around twenty eleven twenty twelve for most of most
Speaker 1: of the US, so the bottom was set in which
Speaker 1: was way cheaper than where it had been in two
Speaker 1: thousand and five, two thousand and six, two thousand and seven,
Speaker 1: So twenty twelve was the bottom, and then the price
Speaker 1: started going back up again. By two fourteen, twenty fifteen,
Speaker 1: Florida had started getting pretty good again. The prices were
Speaker 1: pretty high, and a lot of investors, real estate investors
Speaker 1: at the time, were saying, oh no, it's way too expensive.
Speaker 1: It's way too expensive. And I said too expensive compared
Speaker 1: to what right our brains are comparing mechanisms. They were
Speaker 1: looking in the rear view. Well, it was too expensive.
Speaker 1: It was way more expensive than it was in twenty
Speaker 1: twelve at the very bottom. It wasn't more expensive from
Speaker 1: where it was in two thousand and eight at the peak,
Speaker 1: and it certainly wasn't expensive compared to where it was
Speaker 1: going as in like twenty twenty, twenty twenty one. But
Speaker 1: it was too expensive compared to where it was. They
Speaker 1: were looking in the rearview mirror. That's what a lot
Speaker 1: of people get wrong about bitcoin. It's too expensive because
Speaker 1: it used to be ten cents or thirty cents or
Speaker 1: one thousand or ten thousand or fifty thousand, and now
Speaker 1: it's one hundred thousand. You're looking in the rearview. What
Speaker 1: we want to do is we want to look in
Speaker 1: the windshields. You should be driving in the windshield now,
Speaker 1: in your rearview. This is what venture capital investors do.
Speaker 1: This is what we do in my venture capital fund.
Speaker 1: We look at a brand new company, it's just starting,
Speaker 1: maybe no revenues yet, and we try to think, in
Speaker 1: the windshield, where will this be? How much could it
Speaker 1: be in the future. We don't go, well, you just started,
Speaker 1: it's worth nothing, so it's too expensive now. No, we're
Speaker 1: looking at a forward looking and so let me show
Speaker 1: you how we can use history to then project forward. Okay,
Speaker 1: So the first thing we'll do is we'll go backwards
Speaker 1: in history. Then we'll go forward into the windshield. Okay,
Speaker 1: so three hundred years of data. It's pretty good. It's
Speaker 1: pretty comprehensive. As a matter of fact, if you think
Speaker 1: about it, and if we think about things in terms
Speaker 1: of cycles, which I use a lot of, and when
Speaker 1: you think in terms of technical analysis, we have things
Speaker 1: that what we'd call maybe a triple top before breakout,
Speaker 1: or sometimes there's a triple bottom before it falls down.
Speaker 1: And what happens is each time it tests that level,
Speaker 1: it builds up strength, It builds up energy for a
Speaker 1: bigger move. Now, what happens is as it continues to
Speaker 1: test and retest and retest, it builds confidence that will happen.
Speaker 1: Let me give you an example. So most of you,
Speaker 1: if you're watching this video, you probably already know about bitcoin.
Speaker 1: You know that every four years there's a having cycle,
Speaker 1: so that means the new supply bitcoin being added gets
Speaker 1: cut in half every four years. Now, you can see
Speaker 1: that we've had four of these having cycles so far,
Speaker 1: the first Having cycle, second, third, fourth, and you can
Speaker 1: see that each one leads to a big move up
Speaker 1: because it's a supply shock, supply and demand. You cut
Speaker 1: the supply in half, the price moves up. Now I
Speaker 1: think there's something deeper. I think it has to do
Speaker 1: with global liquidity cycles. We're not going to get into
Speaker 1: that right now. Another video on that leave me a
Speaker 1: comment down below, But about each every four years, the
Speaker 1: supply gets cut in half, the price moves up. This
Speaker 1: pattern has basically repeated every Having cycle now for four times.
Speaker 1: When I ask people, do you think it's gonna happen
Speaker 1: again a fifth time, most people would say yes, it's
Speaker 1: happened four times, almost identical. Why wouldn't it continue to
Speaker 1: happen on the fifth time? Okay, So that means there's
Speaker 1: four times. That means the confidence of it happened at
Speaker 1: fifth time is higher. Now if it happens ten times,
Speaker 1: the confidence that happened another time is even higher. Right, Okay,
Speaker 1: So let's take a look at this cycle that's happened
Speaker 1: five times, and we're on our sixth time right now,
Speaker 1: and you might say, well, there's pretty good chance it
Speaker 1: repeats again, and I would say yes. So about every
Speaker 1: fifty years, we have what I call this quantum leap,
Speaker 1: this technological cycle that happens where the world moves in
Speaker 1: this quantum leap. It's happened one, two, three, four, five times,
Speaker 1: and it's now happening. It's six times more than the
Speaker 1: Bitcoin Having cycle, and it's played out almost identical every
Speaker 1: single time. And the beauty is that we can use
Speaker 1: this historical cycle. So then overlay into the technology cycle
Speaker 1: that we're having today. Now, one important piece is not
Speaker 1: just about bitcoin. It's what I'm calling the decentralized revolution.
Speaker 1: So it's a cluster of technology, several technologies that come
Speaker 1: together to give us a new set of building blocks.
Speaker 1: So we have bitcoin, we have AI, we have quantum computing.
Speaker 1: All of that coming together could give us a new
Speaker 1: set of building blocks. So now we're on the sixth one.
Speaker 1: That's happened, all right, So let's take a look at
Speaker 1: what this pattern is that unfolds and how repeatable, how
Speaker 1: reliable this pattern is. So we have to understand that
Speaker 1: there's four different phases inside of this fifty year cycle.
Speaker 1: Now it's not exactly fifty years. It could be forty,
Speaker 1: it could be seventy, but it's around that range. And
Speaker 1: we know there's four phases into that. Now it sort
Speaker 1: of looks like this. There's two stages and there's four periods.
Speaker 1: And this is another term in technology, we'd call this diffusion.
Speaker 1: So long for this technology to reach adoption, so we
Speaker 1: have what's known as the big bang, and it goes
Speaker 1: into the eruption phase is where this new technology storms
Speaker 1: the scene. So to speak erupts. Then we have the
Speaker 1: frenzy phase. Then we have what's called the synergy phase,
Speaker 1: and then finally the maturity phase. Now it's important to
Speaker 1: note that it takes over where one cycle is ending
Speaker 1: the next one is beginning. So personal computers, telecom Internet
Speaker 1: was the last cycle, the last fifty year cycle. I'm
Speaker 1: going to show you more about that in a minute.
Speaker 1: And what happened is that Internet, all of that started failing,
Speaker 1: They started getting to centralized starts falling apart. So we
Speaker 1: have the birth of a news system that will take
Speaker 1: over that energy. But there's the eruption frenzy. Those are
Speaker 1: two phases in the first part, and then we have
Speaker 1: synergy and maturity the two phases in the last one.
Speaker 1: And it always works this way, and then we'll have
Speaker 1: the next big bang in the next cycle. We'll start
Speaker 1: from there. Now, if I overlay this with time periods,
Speaker 1: just so you can see what we're looking at. This
Speaker 1: is twenty ten to twenty twenty, that's the first phase.
Speaker 1: Twenty twenty to twenty thirty phase number two, twenty thirty
Speaker 1: to number forty, phase number three, and twenty forty to
Speaker 1: twenty fifty would be phase four. And that would complete
Speaker 1: this fifty year cycle within this and you might recognize
Speaker 1: this pattern right here if you're a technology person. I'm
Speaker 1: going to come back to that in a minute, but
Speaker 1: let me give you some examples of history. So remember
Speaker 1: the last one started nineteen seventy one, and this was
Speaker 1: the microprocessor, which brought personal computers, telecom and the internet.
Speaker 1: So so the microprocess was the first one. Nineteen seventy one,
Speaker 1: the birth of the microprocessor with Intel. Now what's important
Speaker 1: is if you map this from an investor standpoint, a
Speaker 1: price level standpoint, you map this technology cycle over with
Speaker 1: the price you see Intel here, and what you see
Speaker 1: for the first cycle, first part of the cycle, first
Speaker 1: twenty years, Intel price went up twenty three thousand percent
Speaker 1: in price. Twenty three thousand percent in price. Now that
Speaker 1: went up so cross, so much, so crazy that everyone
Speaker 1: looked at the Intaeil said that's got to be a bubble.
Speaker 1: It's so expensive. There's no way it can go from here.
Speaker 1: I need to go find the next microprocessor. I need
Speaker 1: to find a cheaper microprocessor. Because it went up twenty
Speaker 1: three thousand percent. I missed out. Oh always me, I
Speaker 1: never catch these, et cetera, et cetera. But what happened
Speaker 1: is that was phase one. A small business owner, are
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Speaker 1: In phase two, right here, it went up another twenty
Speaker 1: six thousand percent. So everyone sat on the sidelines. Oh
Speaker 1: I missed out, it's too late, it's too expensive. Why
Speaker 1: didn't I get in earlier? And it went up even
Speaker 1: more twenty six thousand percent. Now I can show you
Speaker 1: example after example and I'm gonna show you some more.
Speaker 1: It wasn't just Intel, it wasn't just microprocessors. As a
Speaker 1: matter of fact, like I said, the microprocessor brought us
Speaker 1: the boom of the computer and telecom and all of
Speaker 1: those we can see here Apple. So then the microprocessor
Speaker 1: brought us personal computers. Now, Apple went up one point
Speaker 1: five million percent one point five million percent in this
Speaker 1: first phase. And again everyone said, oh I missed it,
Speaker 1: it's too late. Why didn't I buy it? I always
Speaker 1: miss these things, and they sat on the sidelines. And
Speaker 1: then Apple went into phase two and went up another
Speaker 1: fifty thousand percent from there, an enormous amount. And so
Speaker 1: what happens is you can see these cycles are dependable, reliable.
Speaker 1: Microsoft I believe, went up about was it thirty forty
Speaker 1: thousand percent in phase one, phase two, went up over
Speaker 1: a million percent in phase two. Well, everyone sat on
Speaker 1: the sidelines, thinking that they missed it, that it's too expensive,
Speaker 1: not realizing that these things move in cycles. That makes sense,
Speaker 1: all right. So now that you understand that, you've seen
Speaker 1: the historical relation to that, let's overlay this and look
Speaker 1: at where we are in this new age of decentralization
Speaker 1: and bitcoin, et cetera. Okay, so the first thing you
Speaker 1: have to understand is that there's again four phases and
Speaker 1: we can overlay them with phase one twenty ten or
Speaker 1: twenty twenty being this eruption phase, and really it's the
Speaker 1: age of retail. So there's the very first part of
Speaker 1: the technology of diffusion where just the true believers, the
Speaker 1: early adopters, the tinkers, the nerds, if you will, they
Speaker 1: all start to come to play. It's a very small
Speaker 1: piece that's retail. But what happens is in phase two,
Speaker 1: as we move from the first phase into phase two,
Speaker 1: it's now called the frenzy phase. Now this is where
Speaker 1: we start getting wider adoption, where a lot more people coming.
Speaker 1: It's been proven out by the true believers, the early adopters,
Speaker 1: and now everybody else wants to jump in and get
Speaker 1: a piece of the pie. And this is really illustrated
Speaker 1: through the institutional phase. So right now you know the institutions,
Speaker 1: the wall streets, the ETFs, the black Rocks, and yes,
Speaker 1: even the governments, the sovereigns are starting to come into
Speaker 1: this institutional phase, which is why it's a frenzy, which
Speaker 1: is why it's starting to move so fast. Okay, Now
Speaker 1: if we take that and we overlay it with another chart,
Speaker 1: so we can understand this a little bit better. We
Speaker 1: have the same chart now, but now I've put something
Speaker 1: called an S curve onto ear. An S curve is
Speaker 1: a tool that we can use to measure adoption of technology,
Speaker 1: but you can use it to measure the things like viruses,
Speaker 1: even things like that, And it's a way to measure
Speaker 1: how fast adoption could get through a society. So basically,
Speaker 1: the way it works is the time it takes to
Speaker 1: go from zero to ten percent adoption is the same
Speaker 1: amount of time it takes to go from ten percent
Speaker 1: to ninety percent adoption. All right, that's the way this move.
Speaker 1: So now we overlay the four different phases of the
Speaker 1: fifty year cycle, and we overlay it with an S curve.
Speaker 1: And what we see is that while this part of
Speaker 1: the move, again with Intel and Apple and even with Bitcoin,
Speaker 1: everybody thinks they missed out. Oh my gosh, it moves
Speaker 1: so much, I wish I would have bought it before,
Speaker 1: So they sat on the sidelines. We can see why
Speaker 1: the second part of the move is the biggest part
Speaker 1: of the move, the frenzy. It's where the institutions, where
Speaker 1: the sovereigns where they come in. And I've put some
Speaker 1: green lines here show and illustrate this how big of
Speaker 1: this move. It's instead of moving linear, it starts to
Speaker 1: move parabolic. You can see that move right there, and
Speaker 1: that's why everyone thinks where this red line is they've
Speaker 1: missed out. But the biggest move is here. Remember Phase
Speaker 1: one is retail, you and I, and sure billions, hundreds
Speaker 1: of billions of dollars came into the space. Certainly we
Speaker 1: saw it go up. But now with the frenzy phase,
Speaker 1: with the institutions and the sovereigns, we're talking about trillions
Speaker 1: of dollars much bigger. The move in front of us
Speaker 1: is going to be much bigger than most people can
Speaker 1: even imagine. Okay, now where does that put us at
Speaker 1: the end of this phase two? Now we can go
Speaker 1: to phase three in phase four, and that's for another video.
Speaker 1: But where does that put us at the end of
Speaker 1: phase two which will be somewhere around twenty thirty? So
Speaker 1: is it too late for bitcoins? Should I short it?
Speaker 1: Should I sell it? Should I get out of it?
Speaker 1: Will it keep going up? Should I go hunt for
Speaker 1: some smaller coins? They're going to be more explosive. Is
Speaker 1: it going to boom or bust? Well, remember, we can
Speaker 1: measure the slope, so when we look at that S curve,
Speaker 1: it helps us understand where that's going. But what we
Speaker 1: want to do is we want to look at some historical numbers,
Speaker 1: and then we want to look at some growth drivers,
Speaker 1: and then we want to project that into the forward.
Speaker 1: This is what a venture capital would do if you're
Speaker 1: investing in new technologies like Uber and Airbnb. This is
Speaker 1: what you would do. Is how we do it. Okay,
Speaker 1: so we measured the slope. I showed you that it
Speaker 1: goes nonlinear but instead parabolic. So we understand that that
Speaker 1: means the growth, the rate of growth should change. Okay,
Speaker 1: So we want to look at the historical numbers and
Speaker 1: then we want to understand the drivers of these numbers.
Speaker 1: So let me show you a couple of things. First
Speaker 1: of all, I've talked about this before. So bitcoin is
Speaker 1: not competing as a new technology, it's not competing as
Speaker 1: a payment network. It's competing against the store of value
Speaker 1: assets value itself. So we look at assets that are
Speaker 1: store by assets like gold, collectibles, equities, real estate, bonds, money,
Speaker 1: et cetera. So if I was pitching on Uber or Airbnb,
Speaker 1: we would say, well, Airbnb is competing against hotels. So
Speaker 1: the hotel industry is this big, the total addressable market
Speaker 1: the TAM. If I could take x percentage, five percent,
Speaker 1: ten percent from the TAM of the hotel market, it'd
Speaker 1: be worth this much. Uber disrupting taxis, limos, vans, et cetera.
Speaker 1: So Bitcoin is taking value. It's disrupting all these store
Speaker 1: value assets. It'll take a little bit from gold, a
Speaker 1: little bit from collectibles, equities, et cetera. Now, this is
Speaker 1: from twenty twenty to where I project things to be
Speaker 1: a twenty thirty. Let's just start here. The money supply
Speaker 1: was ninety five trillion dollars in twenty twenty, and I
Speaker 1: projected to be somewhere around two hundred and five trillion,
Speaker 1: which is eight percent growth throughout the decade. Now eight
Speaker 1: percent is a little bit low. Now the reason why
Speaker 1: is not only do we have historical numbers, but we
Speaker 1: also look at the growth of this. So the government,
Speaker 1: the United States government, the US dollar, the reserve currency
Speaker 1: the world. The CBO is the Congressional Budget Office. They
Speaker 1: give us these numbers. They project out where we'll be
Speaker 1: through the next thirty years by twenty fifty four. Now,
Speaker 1: currently the money supply the FED balance sheet is growing
Speaker 1: by thirteen percent a year, so I've only put eight percent.
Speaker 1: I'm undershooting this a little bit to give us a
Speaker 1: little bit of conservative numbers. Bonds hundred trillion and twenty twenty,
Speaker 1: I project them to grow by five percent a year
Speaker 1: to four eighty eight. Now, if you understand this, I
Speaker 1: talk about this all the time. When the money supply
Speaker 1: goes up, real estate in equities are basically perfect proxies
Speaker 1: for those. So I put them going up by eight percent.
Speaker 1: Real estate goes to seven hundred trillion, Equities goes to
Speaker 1: two hundred and five trillion, Gold goes from eleven point
Speaker 1: five right now, I think we're about fourteen to fifteen,
Speaker 1: it goes to twenty trillion, and I project bitcoins it
Speaker 1: started at five hundred and thirty billion or point five trillion,
Speaker 1: twenty twenty, we'll get to twenty one trillion market cap,
Speaker 1: which is only a fifty percent growth rate. Now, when
Speaker 1: I say only fifty percent per year right now, the
Speaker 1: last four to five years it's been going up about
Speaker 1: sixty percent, So I project it will slow down a
Speaker 1: little bit going into the rest of the decade and
Speaker 1: end up at about twenty one trillion market cap. Now,
Speaker 1: to put this into some perspective for us, that means
Speaker 1: total store value assets go up to about one point
Speaker 1: six almost one point seven quadrillion by that time. At
Speaker 1: that point, bitcoin has only captured one point twenty five
Speaker 1: percent of the store of value assets. It's about on
Speaker 1: par with gold. Now, what does that look like a
Speaker 1: lot of people think that in order to get there,
Speaker 1: that you know, the dollar has to die, all these
Speaker 1: assets have to die. That's not the case. If we
Speaker 1: look at the store of value assets, we see real
Speaker 1: estate is the largest store valo as at seven hundred trillion,
Speaker 1: bonds four hundred eighty trillion, equities two hundred trillion, money
Speaker 1: two hundred and five trillion, And at this point, by
Speaker 1: twenty thirty, gold and bitcoin are basically about the same
Speaker 1: size twenty twenty one trillion. So Bitcoin has grown by
Speaker 1: taking a little bit of value from each one of these,
Speaker 1: but none of them are dead, nor is the dollar.
Speaker 1: A lot of people think, we alleah, when bitcoin's worth
Speaker 1: one million dollars, then what's the dollar worth? How much
Speaker 1: is the tank of gas. It doesn't mean the dollar dies.
Speaker 1: It means that it pulls value from each of those
Speaker 1: now only taking one percent one and a quarter percent,
Speaker 1: Now is that realistic? Remember, if I think like a
Speaker 1: venture capitalist, we would say what markets are we disrupting?
Speaker 1: Remember Uber and Airbnb are disrupting van taxi rides or hotels?
Speaker 1: Now we would project at what percentage do we think
Speaker 1: is realistic to capture over what period of time? And
Speaker 1: so we'd say, well, how much do I think bitcoin
Speaker 1: can pull from those others? Is one percent realistic? Well?
Speaker 1: What did Airbnb and Uber do? Well, we know that
Speaker 1: in the first ten years Uber and Airbnb launched. Within
Speaker 1: the first ten years, they were able to capture take
Speaker 1: ten percent of their market shares, ten percent in less
Speaker 1: than ten years. Now we're projecting Bitcoin by twenty thirty
Speaker 1: to only get one and a quarter percent, which I
Speaker 1: think seems pretty low. I think it's a conservative estimate. Now,
Speaker 1: where does it be in twenty go, in twenty forty
Speaker 1: and twenty fifty that's for another video. But then again,
Speaker 1: think about this, So back to the question, is it
Speaker 1: too late? Is bitcoin too expensive? Too expensive compared to what?
Speaker 1: Too expensive compared to where it was when it was
Speaker 1: ten cents one thousand dollars or ten thousand or or
Speaker 1: is it too expensive compared to where it is going
Speaker 1: to be in twenty thirty, twenty forty and twenty fifty.
Speaker 1: If I believe as I do, it'll be worth one
Speaker 1: million and twenty thirty. But I can buy it today
Speaker 1: for only one hundred thousand. Sounds very cheap, But let
Speaker 1: me know what you think. Put it down the scription
Speaker 1: down below, in the comments down below, mine of them
Speaker 1: you think if you want to release the other videos
Speaker 1: for twenty forty and twenty fifty, leave me a comment
Speaker 1: and let me know. And that's what I got, all right,
Speaker 1: to your success. I'm out,