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Bitcoin Is About to Absorb a Historic Rotation

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0:00

If the fiat system is $800 trillion and

0:02

Bitcoin is $2 trillion, there's a

0:04

rotation that'll happen. And that's why

0:07

deflation equals delever, delever equals

0:11

Bitcoin to go higher as part of the

0:13

rotation. Whether it's 70,000, 100,000,

0:15

40,000 is not the equation. The equation

0:18

that I care about in the chart that I'm

0:19

looking at is Bitcoin relative to

0:21

software. When that starts to go higher,

0:24

everything changes for me. What's going

0:26

on, guys? Today, we've got a great

0:27

conversation with Jordi Visser. This one

0:29

gets very deep into what is going on

0:30

with software stocks, the credit market,

0:32

Bitcoin, how Bitcoin could benefit from

0:34

deflation or inflation. That's going to

0:36

be something that all of you are very

0:37

interested in. And on top of that, we

0:39

talk about the latest developments in

0:41

artificial intelligence and how people

0:42

are using this stuff, including I

0:44

surprised Jordy with one or two things

0:45

he didn't know, which is one maybe the

0:47

first time that's ever happened on this

0:49

show. Here's my latest conversation with

0:50

Jordi Visser. All right, Jordy, you

0:52

published this great image. Uh, and I

0:54

thought we could just go through this

0:55

because I think this image really is

0:56

going to show us uh how Bitcoin could

0:58

benefit from deflation. It's going to

1:00

talk about deflation and inflation and

1:01

it's also got the macro overlay of just

1:04

like what's happening in the world and

1:05

why so many people are probably off

1:07

sides when thinking about interest

1:09

rates, monetary policy, etc. But walk us

1:11

through this image that you have here

1:13

and kind of how people should think

1:14

about what you're trying to communicate.

1:16

Yeah. So, I I this has been a um

1:21

the last four months, let's take it from

1:23

October 10th since that seems to be the

1:25

date that the crypto community has has

1:28

um leaned on as the day that everything

1:30

changed. And let's combine that with the

1:34

chart that everyone has now seen, which

1:36

is the software stocks relative to

1:38

Bitcoin and the fact that it's like a

1:40

one for one overlay. And and I will say

1:42

not just now but for this. So when

1:46

people like Lyn Alden and Sam Callahan

1:49

wrote this really good piece on

1:52

liquidity and how Bitcoin is basically

1:56

ahead of the NASDAQ, but they're all

1:58

this positive liquidity story.

1:59

>> It's like Bitcoin is the most sensitive

2:00

to the

2:01

>> most sensitive. And Raul Powell talks

2:03

and shows the charts about liquidity to

2:05

Bitcoin. I'm not a subscriber to this.

2:08

Now, that made sense to me uh let's say

2:12

from 2009 or 2010 up until

2:17

AI started to accelerate. At some point,

2:20

there's a breaking point for me, which

2:21

is deflation starts to take over. So,

2:24

when you're in a point where the

2:25

government is able to print enough money

2:28

to stop the Jeff Booth kind of we're

2:31

fighting against deflation, exponential

2:34

innovation is deflation. At some point,

2:36

there's no fight. Um, and you only get

2:39

to that point when it's replacing labor.

2:42

Now, it's also a democratizing thing.

2:45

So, I wrote a paper in Substack this

2:46

week about the democratization and I got

2:48

into the end about how this destroys the

2:50

capital structure of the world. So, what

2:52

I believe we're entering into and the

2:54

reason software is going down is because

2:56

anything that can be recreated

3:00

with AI, meaning on code for now,

3:04

becomes worthless. Um, it might take 10

3:07

years, it might take one year. I don't

3:09

agree with anyone that comes up with an

3:10

argument that SAS is fine. They are in a

3:13

multiple compression because three years

3:14

from now, we don't know what's going to

3:16

happen. But what we do know is the cost

3:17

of intelligence. I pay the same amount

3:20

of money for Claude as I did a year ago.

3:23

But its capabilities are 100 a thousand

3:26

times where they were. Which means in

3:28

technology, this deflation is happening

3:30

rapidly. The Chinese are offering more

3:32

models. So in a world of deflation, all

3:34

of the codebased assets should go down.

3:37

But when you get to deflation, that's

3:39

when you start to care about hiding. And

3:41

the only thing you can hide in is

3:43

scarcity. So when you watch my videos, I

3:46

talk about abundance. That's code. And

3:47

then scarcity. We are in the scarcity

3:50

seeking mode right now. It's helped

3:51

gold, it's helped silver, it's helped

3:53

the physical things because for the

3:55

majority of people that own the money in

3:56

the world, they don't believe in

3:58

Bitcoin. The wealthiest people do not

4:00

believe in Bitcoin. The only wealthy

4:02

people that believe in Bitcoin are the

4:03

ones that made their wealth from

4:04

Bitcoin. That's it. I That's why when I

4:07

did the IPO thing, I'm like, "Guys, why

4:10

would you keep all of your money in

4:11

Bitcoin? You have to move some of it

4:12

into the Trady world. You have to move

4:14

some of it into AI, which theoretically

4:16

could destroy it." So, that image was

4:18

meant to show that we're in stage two of

4:20

my thought process, which I think lasts

4:23

until humanoids come, but I think

4:25

Bitcoin will separate itself from

4:27

software, and I think it'll happen this

4:29

year. And so for the optimistic side of

4:31

me who believes that Bitcoin is the end

4:33

result of there a world of code with no

4:36

moes pretty soon you're going to have a

4:38

growth asset that people look to that is

4:39

scarce. So the day that you start seeing

4:42

the software names kind of have a little

4:43

bounce but Bitcoin has a big bounce

4:46

which would be different than what

4:48

happened back on liberation day. So

4:49

every time we've had a fall to go back

4:51

to Lynn Alden and Sam Callahan Bitcoin

4:54

and the NASDAQ would run together.

4:56

That's why it gets this negative thing.

4:58

We are out of that world now. We are now

5:00

in a world where deflation is destroying

5:04

multiples on companies built on code.

5:06

And I don't think people have adapted to

5:08

that. And I think the wealthiest people

5:09

on the planet who manage money in an

5:11

industry that I know so well, they don't

5:15

believe in Bitcoin. They don't

5:16

understand it because it has no

5:18

narrative. It is a true scarce growth

5:20

asset that is based on what Mike Norat

5:22

said so eloquently there. Whatever you

5:24

think about Mike Novagrats, it is a

5:26

asset that was built by a community.

5:29

Plain and simple, it is accepted as an

5:31

asset. Hundreds of millions of people

5:33

around the globe accept it as an asset.

5:36

To me, in a world of deflation, I don't

5:38

know what's going to be here 3 years

5:40

from now, which means by definition, the

5:43

moes are gone. And you have to believe

5:44

in something that has a moat. And as

5:46

I've said, religion, gold, and now

5:49

Bitcoin. So most people listening to

5:51

this are going to believe uh money gets

5:55

printed which leads to inflation which

5:57

means Bitcoin goes up and that asset

6:00

inflation was a direct result of our

6:03

inability to balance a budget to keep

6:05

the national debt from exploding higher

6:07

kind of the the liquidity component that

6:09

you're talking about that is let's just

6:11

call that up until recently been the

6:13

driver of Bitcoin etc. There are going

6:16

to be a lot of people who say if you do

6:19

not believe that anymore, you're just

6:20

moving the goalpost because uh oh,

6:23

Bitcoin's not working right now and uh

6:25

that means that now you're looking for a

6:26

different narrative. I'm not talking

6:27

about you in particular, but just like

6:28

the Bitcoin community in general. I

6:30

think it's a fair question to ask,

6:32

right? But what I think you're saying,

6:34

Kathy Wood said this to me uh at the

6:36

Bitcoin Investor Week conference. uh

6:37

I've had a number of other people is

6:39

that the driver of value in the world is

6:44

actually now changing. It used to be

6:47

liquidity and inflation. You're now

6:49

saying that deflation could drive value

6:52

to all scarce assets, not just Bitcoin,

6:54

but gold or anything else. Explain how

6:56

deflation drives value into scarce

6:59

assets. So, um, at the end of the day,

7:02

the one thing that all people have,

7:04

whether they're sitting at home or

7:05

they're working on Wall Street, is

7:07

greed. I don't care what it is. Like,

7:09

you're always interested in making

7:12

money. And whether it's um

7:16

I'm trying to think, Norton from from

7:18

the the the honeymooners, which it's a

7:20

little bit after your time, but still

7:23

for the people out there my age right

7:24

now, there's always a scheme that's

7:27

going on. There's always some way to

7:29

make money.

7:31

Money is a driving factor in a lot of

7:33

things. I I really do try to follow a

7:35

Buddhist framework in my head and think

7:36

about things in that way. And money is a

7:38

delusion. People think it brings them

7:40

happiness, but when you get more, you

7:41

need more. So greed is just part of

7:43

human nature and it's just part of the

7:45

things that um are pleasure seeking. So

7:49

I believe there's a rotation that

7:51

happens when you get into deflation like

7:53

you're getting now. you avoid the things

7:55

that are deflating.

7:57

Ford has been a horrible investment.

7:59

Europe has been a horrible investment.

8:01

Japan has been a good investment over

8:02

the course of the last 15 years. It's

8:06

been a horrible investment since 1992.

8:09

The only thing that's worked that has

8:12

either beaten Bitcoin or been close to

8:14

Bitcoin has been the thing that Sam and

8:17

Lynn came up with as number two on the

8:19

list. It's the one that Raul talks about

8:21

as innovation directly to Bitcoin. They

8:24

move together. So theoretically, you

8:26

need to believe that the inflation that

8:28

we print money, the NASDAQ and

8:30

innovation goes higher. Well, that's

8:32

over for me. Commodities have been

8:34

sideways since, you know, 2007, even

8:37

with the rally we've seen because they

8:38

peaked then and they went down. Oil was

8:40

$155 when I went to China in 2000 May of

8:44

2008. Uh we're down in the 60s. So there

8:47

is deflation that happens with more

8:49

innovation. It's just that we get caught

8:51

in this thing that think well they print

8:53

money and the stock market goes higher.

8:54

The stock market has not gone higher in

8:55

Brazil in local terms. True,

8:59

>> sorry, in dollar terms. So, I have this

9:02

like thing of rotation in the back of my

9:04

mind that if the fiat system is $800

9:06

trillion and Bitcoin is

9:10

$2 trillion, which it's not right now,

9:12

but let's assume we get back to two

9:14

trillion. There's a rotation that'll

9:16

happen. What'll drive it up to 50

9:18

trillion to 100 trillion? The only thing

9:20

in my mind has always been the rotation.

9:22

The most logical answer is if everyone

9:24

who owns the 800 trillion, you took

9:26

their average age in their 60s and you

9:29

gave all that money to someone who's

9:32

younger and you said, "What's your asset

9:33

allocation? You have 800 trillion in

9:34

this bucket. You have 2 trillion there.

9:35

Well, I want some money in Bitcoin."

9:37

You'd have a rotation and this would go

9:38

higher and that would go down

9:40

eventually. That's what I believe. So,

9:41

I've said this before. I believe the

9:43

world is deleveraging. the 800 trillion

9:45

is heading back towards where it should

9:47

be which is monetary base of the world

9:50

nominal GDP of the world both those

9:52

numbers are about $120 trillion now the

9:54

question is do we go from 800 to 120

9:56

trillion overnight well that was the

9:58

great depression that's not allowed

9:59

that's what the governments are going to

10:00

do everything they can to prevent the

10:03

more likely scenario is that we come

10:05

down in this manner over the course of

10:07

20 to 50 years and that's why deflation

10:11

equals de leverage delever equals

10:14

bitcoin coin to go higher as part of the

10:16

rotation. So, I'm not in any way

10:18

changing the goalpost. This has always

10:20

been my writing. This has always been my

10:22

thesis. I will say to everyone, I got

10:25

sucked into believing in Bitcoin in this

10:27

theory when I listened to Michael Sailor

10:30

back in two in 2021 when he was

10:32

describing the decision. And I always

10:34

say, yes, he did bring up the basing. He

10:37

did bring up that the government was

10:39

going to steal his money by moving rates

10:41

to zero while inflation was going to go

10:43

higher. and he was sitting with money in

10:45

his bank in his treasury account. But he

10:47

also said he was in this position where

10:50

he had to make a decision because of

10:52

exponential innovation because Microsoft

10:54

had completely destroyed his software

10:56

business. He could not compete with them

10:58

anymore. That is where you have this

11:00

running of inflation that is incredibly

11:03

deflationary and it allowed these

11:05

companies to have a moat that they're

11:06

not going to have in a world of

11:07

intelligence. So hopefully that clears

11:09

up your your question, gets to a better

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12:41

Did you see the chart of uh the major

12:45

media like newspaper companies their

12:47

stock price and then their revenue?

12:49

There is this chart that's floating

12:51

around where basically the stock price

12:52

about 2 to 3 years before the revenue

12:55

turned over the stocks all fell. And the

12:59

argument that people when they see this

13:00

chart is the market's pretty smart. They

13:04

saw that the internet was going to

13:05

disrupt these media companies. And so

13:08

investors started to sell them. And then

13:11

only after 2 or 3 years did you start to

13:13

see the actual impact of the financials

13:15

because eventually the technology force,

13:17

you know, just it's too big to overcome.

13:19

The reason why that chart is floating

13:20

around right now is because people are

13:21

looking at the software companies and

13:22

saying, "Hey,

13:24

the defenders of the SAS companies is

13:27

look at how much money they're making.

13:28

Look at how much growth they have. Look

13:30

at you know the their customer

13:31

concentration. Look at uh uh the LTV

13:34

expansion of on a per customer basis.

13:36

Like all these metrics

13:38

are we just two or three years until we

13:40

start to see that stuff come down and so

13:41

actually the market is forward looking

13:43

and realizes the writing's on the wall

13:46

or is something else going on that you

13:48

know could we actually see multiple

13:50

compression but the companies continue

13:51

to grow. They actually make more money

13:52

in the future. versus just the multiples

13:54

have come down and so you don't need to

13:55

have impaired financials as much as just

13:58

people treat it as less valuable in the

14:01

future.

14:01

>> So this is a great question and and you

14:04

got my brain going a bunch of different

14:05

directions. So I'll get to the multiple

14:07

compression part because that is

14:08

happening right now and I'm going to

14:09

show that in the video of the weekend.

14:10

Um and it's I mean software companies

14:12

multiples collapsing

14:15

uh but their earnings are at alltime

14:16

highs.

14:17

>> Watch out below. So, but let me take let

14:19

me let me go a different direction from

14:21

where you were going and just think of

14:22

something that came in. If you if you go

14:24

to a um a hotel, you will inevitably see

14:28

physical newspapers that they have

14:30

there. Now, in breakfast time, if you go

14:33

to any one of the big restaurants here

14:35

or Paris or anywhere else, and you grab

14:39

a news or you walk into the the

14:41

breakfast and you know, you look at the

14:44

menu, you realize you're going to have

14:45

$150 breakfast of eggs and something.

14:48

Um, nothing against the Peninsula and

14:50

the St. Reges, but that's just the

14:51

reality of what they get away with. Um,

14:55

if you just went around the room and you

14:58

only selected the people that were

15:00

reading a physical newspaper and I asked

15:03

you, how would you describe what you

15:05

think those people would be? Well,

15:07

number one, they'd be older. Um, who

15:10

wants to get their hands dirty and go

15:11

through that whole thing again? But

15:13

there's still people that do it. Let's

15:14

assume it's 10% of the people. But then

15:17

if you added up the total net worth of

15:21

the people in there and what they were

15:23

the percentage of, it's going to be

15:24

close to the baby boomer like ownership

15:27

thing. And that's not a negative thing

15:29

to say. Now, do any of them own Bitcoin?

15:32

I'm going to say no. Do any of them own

15:35

the hyperscalers? 100%.

15:38

The reason I bring that up as part of

15:40

your question, that is the reason why

15:44

when software is going down, Bitcoin has

15:46

to go down. The only time this is going

15:48

to change is when those people reading

15:51

the paper either give their money to

15:52

their kids or they get greedy and it's

15:57

when the SAS the hyperscalers don't go

16:00

up and where Bitcoin does. That is the

16:02

multiple compression story. So Bitcoin

16:05

to me has to be connected to multiple

16:07

compression. It cannot be like I if we

16:10

have a collapse in the markets this year

16:13

and we get a 20% correction which I

16:14

think is a reasonable chance not because

16:17

of earnings not because of the economy

16:19

not because of rate hikes but because of

16:21

what I've talked about the deleveraging

16:23

that I mentioned especially for

16:26

um diversified asset managers uh who use

16:30

coariance matrix to kind of hedge their

16:32

book at some point if we stay in this

16:34

world which I think we were where

16:36

multiple compressions are happening

16:38

happening. It's because people don't

16:39

know how to value things out three

16:40

years. I will talk a lot about this in

16:42

this weekend's video. If you don't know

16:44

what the world's going to look like in

16:45

three years, then volatility has to

16:47

increase because you don't know the

16:49

value of a company. So, Bitcoin has no

16:52

disruption from this. It is still

16:54

connected to the fiat system and

16:56

software in particular. That's why I I

16:58

will keep saying it. It has to be

16:59

correlated to some degree. when it

17:01

breaks the correlation nothing will stop

17:03

it at that point because once it breaks

17:06

you'll go we are seeing multiple

17:08

compression at the stock level which I

17:09

believe is part of the deleveraging that

17:11

I expect to happen it's happening from

17:13

the deflationary situation that's going

17:15

on with intelligence that is driving

17:17

things and at the same point increasing

17:19

competition to make the world uncertain

17:21

what people have to understand Bitcoin

17:22

at the end of the day if if I believe

17:24

it's going to a million it's a long

17:26

duration asset because I don't think

17:27

that's happening this year I think

17:29

that's happening in the future if you

17:30

think anything is going higher in the

17:32

future 5 10 years from now and you can

17:34

say it with kind of certainty in your

17:36

head you're thinking in a long duration

17:38

whether it's credit whether it's venture

17:39

capital whether it's private equity

17:40

private credit doesn't really matter to

17:41

me you have a 10-year horizon well 10

17:44

years from now humanoids will be in the

17:46

elevators with us how do you value even

17:48

a physical company at that point how do

17:50

you value Nvidia Nvidia at that point

17:53

like I don't know how you do it so Elon

17:55

Musk talks about this world of abundance

17:57

at some point when abundance is truly

18:00

everywhere, then you only want to

18:02

preserve the wealth that you have made

18:03

in your lifetime as opposed to just

18:07

having it invested in stocks that you

18:09

know nothing about and saying this is

18:11

the way the world works. I never thought

18:12

it worked that way. Maybe I'm, you know,

18:15

stupid. I just didn't think investing in

18:17

stocks was a guaranteed winner for all

18:20

of our lifetime and that eventually

18:22

private businesses would take over for

18:24

public companies, which I think I've

18:26

talked about. I don't think there will

18:28

be public companies in 10 years. I think

18:30

there will be an ecosystem of little

18:33

entrepreneurs that are making a little

18:35

bit of money and enough for them to be

18:37

happy while the cost of everything goes

18:39

down. That's the world I believe in. I

18:41

could be 100% wrong, but I believe the

18:43

market every day is getting closer and

18:44

closer to that and the multiple

18:45

compression is a sign of it.

18:47

>> Why do you think that there's not going

18:48

to be public companies? That's

18:49

interesting.

18:50

>> Um I I think a public company by

18:52

definition, so you have to kind of go

18:54

through this a different direction. Um,

18:56

let's use health as an analogy. Let's

18:59

assume you see someone who is um 60

19:03

years old and they're 100 pounds

19:05

overweight and I said to you, what's the

19:07

probability of that person living for

19:09

another 50 years? And then I saw another

19:12

person who was the same age but was

19:13

physically fit.

19:15

And I asked you, what's the probability?

19:17

Now, that person who's physically fit

19:19

could die beforehand. But I view all

19:22

public companies

19:24

as being bloated, overweight people late

19:28

in age. So the S&P 500 lifespan is down

19:32

to like 15 years. So when you go through

19:34

like the hyperscalers, which I pick on

19:36

right now, only one of them is from the

19:40

1980s, it's Microsoft. The rest of them,

19:43

Meta, Amazon, Google, I mean, you're

19:46

talking less than 25 years. I mean maybe

19:49

Amazon is 25 27 I don't know but

19:51

regardless started as a book company

19:52

it's not the same right now but those

19:54

are not old companies you've got a lot

19:56

of companies like Corning that have been

19:57

around in the 1800s so physical

19:59

companies have very few have lasted so I

20:02

don't think they'll be public companies

20:04

do I think somehow or another those

20:06

companies might be their shares might be

20:08

traded but this gets into it if 400 of

20:11

the S&P 500 companies basically are no

20:14

longer companies and the capital

20:16

structure of the future is related to

20:18

stable coins, Bitcoin, RWAS, and NFTTS.

20:22

Then what the other thing I'm talking

20:24

about is you're talking about a world

20:25

that doesn't exist anymore. It's like

20:26

saying, will there be phones with chords

20:28

on them as opposed to smartphones? Um,

20:32

the capital structure of the future will

20:33

not be the same as capital structure

20:35

today.

20:36

Onchain fundraising, all this stuff. Um

20:40

we've seen now multiple crypto companies

20:43

whether they're public or private

20:44

acquire various type of cap table

20:47

management fundraising on chain you know

20:49

etc type of businesses. We also see

20:51

tokenization coming fairly quickly. Um

20:54

figure technologies company I've been

20:56

involved for a while now. They just I

20:58

think I think they're the first company

20:59

to take uh shares and say we're not

21:03

going to take the public shares put them

21:05

in like an SPV and then tokenize the

21:07

SPV. They instead said if you have a

21:09

share that is on the uh I think it's New

21:11

York Stock Exchange or NASDAQ and we are

21:14

going to create native digital shares

21:16

and it's a one for one. So for every

21:18

native digital share we create we're

21:20

taking one out of circulation on the

21:22

traditional stock exchange.

21:23

>> Y

21:24

>> is all of that like headed towards this

21:26

theory that you know there's not going

21:28

to be public companies. There may be

21:29

like public liquidity but it looks

21:31

different than you know the companies of

21:33

today.

21:34

>> Yeah it's a great question and and we

21:36

haven't talked about this. So, um, I I

21:40

had a conversation with the figure

21:41

people and and it forced me to get to

21:43

know their their their business more.

21:46

Um, and it's Mike Kagny who runs it,

21:49

right? So I watched a couple

21:51

YouTubetubes with him and I I I

21:53

absolutely for people who are interested

21:54

in the traditional finance world to

21:56

really start understanding the

21:58

difference between RWAS and and onchain.

22:01

I think what you're bringing up is

22:03

something I'm starting to get more

22:05

interested in which is um RWA to me

22:08

which are going to grow. I've kind of

22:11

thought of onchain and rwas as going

22:14

outside this building and needing to

22:16

take a car somewhere. You've got your

22:20

taxis and then you have your Ubers. Now,

22:23

when Ubers came out, we had strikes

22:25

between this and blah blah blah. Uber to

22:27

me is onchain and in in this world that

22:30

I'm using as an example and taxis are

22:32

RWAS.

22:34

they're around and they merge together

22:36

like they're still together, but

22:37

eventually you're going to have

22:39

autonomous vehicles and then there'll be

22:41

no taxis and no Ubers and they'll just

22:42

be

22:43

>> the the what you're describing here is

22:45

and for context for those that uh maybe

22:47

weren't you know kind of in this

22:49

industry paying attention uh almost a

22:51

decade ago in 2017

22:54

I used to say over and over again

22:57

publicly tokenize the world tokenize the

22:59

world tokenize the world and my entire

23:01

theory was we had an analog world So,

23:03

physical stock certificates, physical

23:05

bonds, physical um uh you know uh deeds

23:08

to your home, etc. We transitioned at

23:10

some point in the late ' 80s into the

23:11

early 2000s to an electronic QIP system.

23:14

And so today, when you buy an Apple

23:15

stock, you are really just moving

23:17

electronic QIP around in a database.

23:19

There is no physical stock certificate

23:20

that gets sent to your house. You put in

23:21

a filing cabinet,

23:24

>> but there's two settlement times.

23:26

There's all these kind of inefficiencies

23:27

that people know, but we're cool with it

23:29

because it's better than the physical

23:30

world.

23:30

>> Yep.

23:30

>> So, we had analog age. We went to an

23:32

electronic age. And then my theory was

23:33

always we're going to move to a digital

23:35

age. And the digital age is what now

23:36

people are looking at as onchain all

23:38

this kind of stuff. Now the transition

23:40

period between these I thought was going

23:41

to happen way faster. So in 2017 I was

23:42

like you know it's on our doorstep. Here

23:45

we go.

23:46

>> Interestingly when people were talking

23:48

about tokenization back then no one was

23:50

talking about the dollar. Everyone was

23:52

talking about equity and real estate and

23:53

all those kind of assets. Ended up being

23:54

the dollar was the first one. Now if you

23:57

just think of currencies Bitcoin is

24:00

onchain. It is a native asset to the

24:02

digital world.

24:03

>> Yeah,

24:04

>> the dollars in these stable coins, those

24:06

are the equivalent of the RWA. You're

24:08

taking dollars, you're basically putting

24:09

them somewhere and then you are

24:10

tokenizing the the wrapper that you put

24:11

the dollars in, right, and use it.

24:13

>> The reason why I describe that is I've

24:15

always used the terminology of is it

24:17

digitally native or is it in a digital

24:20

wrapper, right? It's kind of like the

24:21

way that I've thought about it.

24:23

>> It sounds like you believe that both of

24:24

those will be options in the future. or

24:26

they just have pros and cons, you know,

24:28

to to kind of like if you're an issuer,

24:30

as an example, do you go digital native

24:32

or do you go into the digital rapper?

24:34

That's really what people have to decide

24:35

is what are they optimizing for?

24:36

>> Um, so let me clarify two things. First

24:39

of all, when I just to make sure the

24:40

audience cuz I'm saying RWAs and there's

24:42

probably a bunch of people. So real

24:44

world assets being tokenized everything

24:46

that you own a piece of art whatever

24:48

bringing it to where it has a cus

24:51

something that basically says so you're

24:52

taking something created in this other

24:54

world putting on what Mike Kagny talked

24:56

about I would say passionately which in

24:59

hearing him talk I I like when people

25:01

get passionate about something but it

25:02

was this onchain onchain it has to be on

25:04

chain it has to be on chain as opposed

25:06

to taking something offchain putting it

25:07

on chain and I and I started thinking

25:09

about it and it gets into the point that

25:11

you're bringing I so I think this is the

25:14

year. So there were two risks that I saw

25:17

this year. One is um a a very large

25:20

deleveraging that happens faster than I

25:22

anticipate uh because of this rotation

25:25

happening away from software and into

25:26

hardware. And I think we're seeing the

25:27

early signs of that. And without getting

25:30

too wonky here, I do think that this

25:32

problem is going to persist the entire

25:33

year. This structure will extend into

25:35

the next years. People have to take

25:36

their leverage now. It's just this world

25:38

isn't going to go back. But the other

25:40

risk is, and this gets into the to the

25:43

thing you brought up, and I want people

25:44

to think about this in the crypto world

25:46

as well, we are entering a year of agent

25:49

swarms,

25:50

there's going to be more hacking going

25:52

on. You just go read some of the stories

25:54

about what happened with Amazon back in

25:56

December um when service went down.

26:00

I I think being off like kind of onchain

26:04

but not truly on chain is going to be an

26:06

issue. like this is the thing that

26:08

speeds up the demand for onchain stuff.

26:11

>> You're saying that there's security

26:12

vulnerabilities in having one foot in

26:14

the new world, one foot in the old world

26:15

>> and and that's something I believe and

26:17

you can have a bunch of, you know, Adam

26:19

Beck and people that know far more than

26:21

I on the vulnerabilities between the

26:23

two, but it's ironic that I have to

26:26

defend quantum which is far down the

26:28

road and nobody's worried about agent

26:29

swarms.

26:30

>> Describe what an agent swarm is. I don't

26:32

think most people know. Um, easiest way

26:34

for me to describe, we are at the point

26:35

where Open Claw, which allows agents to

26:38

just run 24 hours a day, 7 days a week,

26:40

365 days a year, where they work

26:43

together. So, if you want to hack

26:45

something as an individual, think about

26:47

what they had to do. Even with the

26:49

technology they had, it's one person.

26:51

Whenever you watch a TV show, it's like

26:53

this mad hacker broke in. Well, now

26:56

there's billions

26:58

of hackers. But here's the thing. The IQ

27:02

right now in the models is up near 140

27:04

and we have more models coming out. So

27:06

what I like to say to people is, hey

27:08

guys,

27:09

wouldn't Einstein have been a great

27:11

hacker? Well, pretty soon you're going

27:12

to have by the end of this year billions

27:14

of Einsteins trying to hack into

27:16

everything. And you know how I know this

27:18

is going to happen? Two important

27:21

points. Sam Alman talks about it. You

27:22

don't believe him, Deisabitz talks about

27:24

it. You don't believe him, Dario Modai.

27:26

They're all saying the same thing, which

27:28

is nobody's prepared for what's coming.

27:30

So, let's get back to the public

27:32

companies. If you were a hacker anywhere

27:35

in the world and you wanted to hack

27:36

something, Bitcoin is this little tiny

27:38

thing. So, yeah, it might be a great

27:40

accomplishment, but you're not doing it

27:41

with AI swarms. With quantum, we'll get

27:44

there. But you can absolutely hack into

27:46

any large company enterprise you want.

27:48

So, aren't they the targets now of this

27:50

world by people that have AI agent

27:53

swarms on their mini Mac, their their

27:55

Mac minis at home? So we've opened up

27:58

this door and I don't think people have

28:00

gone through the risk. So this half

28:01

onchain,

28:02

full onchain, this is one of the reasons

28:04

why at some point people go, "Wait, I

28:06

want my money safe. My assets are not

28:08

safe. I could be hacked anywhere. Go to

28:10

Bitcoin because the agents worms are not

28:11

going to get the Bitcoin." At some

28:12

point, people start to realize that when

28:14

they're talking about things like

28:15

quantum, they haven't really thought

28:16

about where we are because they don't

28:18

use AI enough. But I'm telling you, I

28:20

have people in my life, so many of them

28:23

now, including me. But let's leave me

28:25

alone. People must think at this point

28:26

because of how much AI do I'm I've set

28:28

this up. people at home that you would

28:30

never think are using open claw and

28:33

they're sitting there saying this is the

28:34

most amazing thing and I actually don't

28:36

know how they're incorporating it into

28:38

their life but you have to go back to

28:40

Iron Man and watch Jarvis and realize

28:42

that's what they're doing is allow these

28:44

things to run.

28:44

>> Have you seen the woman on uh X who is

28:47

uh I think she's a stay-at-home mom

28:49

slash uh the teacher of uh her children

28:52

that she's homeschooling and she keeps

28:54

posting these videos of how she's using

28:56

all the latest AI and open all this. All

28:58

right. So, uh maybe we'll we'll pull up

29:00

and and

29:00

>> the home table.

29:02

>> So, she is uh I think she's a

29:04

stay-at-home mom and it's her kids. What

29:06

I'm not sure is is it like a homeschool

29:08

pod where there's a couple of other kids

29:09

or is it just her kids?

29:10

>> But she keeps basically uh publishing

29:13

these videos and a couple videos a week

29:15

and she's showing like here's how I'm

29:17

using this technology. So, I don't

29:19

remember all of the exact details, but

29:21

um it's very impressive in the sense

29:22

where she may go and say, "Okay, uh I

29:24

want to do a lesson on um you know, I

29:28

don't know how flowers grow and she will

29:30

go and she'll get a curriculum and then

29:32

she'll get some materials and then

29:33

she'll say to the AI, I need you to

29:35

create the visual illustrations of all

29:37

of this." They'll go and they'll do

29:38

that, right? And all this stuff. But

29:40

then she started using like OpenClaw and

29:42

she started taking it like further and

29:44

further and further. And so like, okay,

29:46

that's interesting because what you

29:47

really have is you have a human who is

29:49

relying on essentially like a AI

29:51

co-pilot to help teach children. Alpha

29:54

School is now publishing all these

29:56

results and they're coming out and

29:57

they're showing that, you know, kids are

29:58

basically every kid in the class like

30:00

the equivalent of validictorian or you

30:01

know what, whatever their claim to fame

30:03

is, but they're doing it in two hours a

30:04

day. And so you start to realize, you're

30:06

like, wait a second here. Uh the holy

30:08

grail is one-on-one tutoring. And you

30:11

know, Synthesis, a company that I've

30:13

been involved with, um, they've got an

30:15

AI tutor where parents can go and it's

30:17

one-on-one, but it's like a game. And

30:19

so, you're like, "Okay, hold on a

30:20

second. There's enough data points here.

30:21

Like, this is going to change very, very

30:22

rapidly." But to your point that they're

30:25

not Google engineers. They're not, you

30:27

know, uh, super high-tech. Talk about a

30:30

stay-at-home mom who's a home school

30:31

teacher.

30:33

>> Look what she's able to do. Now, she's

30:36

got to have some sort of tech background

30:37

because the things she's doing seem to

30:39

be fairly, you know, technical and kind

30:40

of forward-looking. So, my guess is

30:42

maybe she worked in the tech industry or

30:43

something before, but like that's where

30:45

it starts.

30:46

>> And all of a sudden, you're going to

30:48

have, you know, teachers across America

30:49

who just say, "Hey, why am I going to go

30:52

spend money?" Because guess what? One of

30:53

the problems in classrooms are every

30:55

year. What do they do? Please donate $20

30:57

to, you know, Miss Smith's second grade

30:59

classroom because she needs to buy

31:00

pencils and pens and notebooks and all

31:02

this stuff. And oh by the way, she needs

31:03

to buy textbooks and well now for 20

31:06

bucks a month maybe she can just create

31:07

it.

31:08

>> And Mark Andre gave an interview in the

31:11

last month. I forget what what where it

31:13

was but he talked about the difference

31:16

between being homeschooled and going to

31:18

school and how much I mean you don't get

31:20

the social side but the learning side is

31:22

much better in one-on-one tutoring. Like

31:24

it's not even close. So with AI and he

31:27

talked about this. I don't know what

31:29

college is going to look like going

31:30

forward, but I do know people that get

31:32

one-on-one tutoring are going to be

31:33

better. So, if if you can do and I I

31:36

mean I if you go through school and

31:38

you're like, "Well, how many hours a

31:39

week did you actually go? What is go?"

31:41

You can easily do that through AI. It's

31:42

not even a problem and it's more

31:43

efficient because it's one-on-one. And

31:44

if you don't when you get something, you

31:46

move on to the next thing. So, it makes

31:48

it it first of all, it makes perfect

31:50

sense. The other thing about it and the

31:52

thing that I guess as we're talking to

31:54

people,

31:56

this is far easier than people realize.

31:58

So, uh, for 22V, there's a, uh, a

32:02

salesperson who was on a call with me

32:04

and, you know, as I did my payw wall and

32:07

as I've done all these videos and and I

32:10

I'm trying to teach people how to use AI

32:12

because I I think it the longer you go

32:14

without using it in an advanced manner,

32:17

the more disruptive and dystopian this

32:19

is going to feel like. You have to

32:20

understand the power of it. It will

32:22

bring you joy, but it also make you feel

32:23

empowered. And I said to him, he got off

32:26

the call. He's like, "So, how are you

32:27

doing all this stuff?" And what do you

32:29

mean? He's like, "The turbulence model.

32:30

You said you built it. How how did you

32:31

build it?" And I was like, "Dude, do me

32:33

a favor. If you ever see yourself with

32:37

four hours of time, do me one favor.

32:39

Take four hours instead of whatever

32:41

you're doing for those four hours.

32:44

pay $200 for one month for Clawude, the

32:46

most expensive one, and then just go

32:48

have a conversation and whatever app

32:50

idea comes into your head, just tell it

32:53

to build the code for it, take that

32:54

code, bring it into Replet, and turn it

32:56

into an app that will be on your phone

32:58

all within the four hours. He did it

33:01

last weekend. So, we had the

33:02

conversation on Friday, he sat down

33:05

Saturday, Sunday, and he's like, "Remind

33:06

me again." And I just said, "Boom,

33:09

boom." And I got that information from

33:11

>> from AI. He did it and he sent me the

33:14

link later that day. I'm going to be

33:16

showing it in the video.

33:17

>> It's cool, right? It's it's not only

33:18

cool, but he, you know, no offense to

33:22

this guy. He He's not a guy that I would

33:24

ever think would be able to use AI or

33:27

has never. He's never done anything. So,

33:29

for anyone sitting at home that hasn't

33:31

done this yet, you have to do it if for

33:34

no other reason, just to see the power

33:36

of it and also to understand some of the

33:37

things we're saying because what you're

33:39

describing is helping their kids.

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36:04

>> I want to talk about one more thing on

36:06

AI and then uh let's talk about credit.

36:08

Um did you see Roric AI?

36:11

This is me, you know, bragging a little

36:13

bit here, but

36:13

>> this is going to be the second time

36:14

you've said have you seen and I I don't

36:17

know what you're talking about.

36:18

>> Yeah, I'm an investor in in so uh a lot

36:21

of people don't know this. I'm an

36:22

investor in Replet. I'm an investor in

36:25

uh Synthesis. I'm an investor in

36:27

lovable. I'm an investor in Rooric. I'm

36:28

an investor in Micro One. Stop. A lot of

36:31

luck. Not a lot of skill, but a lot of

36:32

luck.

36:33

>> I know. I was paying for dinner next

36:34

time.

36:35

>> Well, uh, as, uh, Peter Thiel says, uh,

36:38

you can be rich and poor at the same

36:39

time. You can be very paper uh,

36:41

successful and cash poor. So,

36:42

>> you keep having kids, you'll be poor

36:44

>> until they all go somewhere. Then we got

36:46

to figure it out. But, Roor, so

36:48

Lovable's whole thing is uh, you type

36:50

in, you know, kind of natural language

36:52

prompt and you can build all these

36:53

websites and stuff uh, products types of

36:56

ROR mobile apps.

36:59

but not on Android.

37:01

They are replacing Xcode on iOS. And so

37:06

you now, they just launched it this

37:07

week, can go in natural language, tell

37:10

them what you want, and they will create

37:11

an iOS app for you. Can one or two shot

37:13

it and it is incredible. It is an iPhone

37:18

app. You can have an Apple Watch. You

37:20

can put it on the Apple TV app. I mean,

37:23

it is crazy what you can do. And so the

37:27

reason why that becomes really

37:28

interesting to me is

37:30

10 years ago what most people thought

37:33

you could jailbreak an iPhone. But

37:35

outside of jailbreaking the iPhone,

37:36

Apple kind of had this walled garden.

37:39

And that walled garden meant that most

37:41

of the like hacker-ish innovation went

37:44

to Raspberry Pies and Android and you

37:46

know kind of like the open type uh

37:49

operating system.

37:51

you start being able to do this stuff on

37:54

Apple with the distribution that Apple

37:55

has at the high, you know, kind of

37:57

luxury level and you can do it across

37:59

device. So, it's not just the iPhone but

38:01

Apple Watch.

38:02

>> Mhm. We're not ready like like we are

38:05

not ready for that world where as uh I

38:07

saw somebody eloquently tweet. We're now

38:10

attacking the offshore development uh

38:13

companies

38:14

because you don't have to go hire

38:16

somebody in name your country elsewhere

38:19

and pay them 1,500 bucks to build

38:21

something for you. You just one-shot it

38:23

on, you know, for 200 bucks a month or

38:25

whatever.

38:25

>> Yeah. So here's the So using that

38:27

example um and it's funny you mentioned

38:29

that because he did he called back. He's

38:31

like, "To get it on on to get an app on

38:33

the phone is a lot more work." And and

38:35

I'm like, "All right." He's like, "I I

38:36

can do web- based, right?" I'm like,

38:37

"Yeah, do it as an HTML. It'll be up

38:39

right away." And that's what he chose to

38:41

do. So, what you're describing is both

38:43

good and bad. And I want people to

38:44

understand the reason that

38:46

>> he took the he took the easy way out.

38:47

>> Yeah. Um well, and that's the way he

38:50

consumes things in his his mind. But um

38:54

the reason this is important for the SAS

38:56

conversation, so if if if everyone is

38:59

able to build an app, then how do you

39:01

find the apps in the app store? Because

39:04

as it is right now, it's very hard for

39:06

me to find podcasts that are good.

39:08

>> Good content should rise to the surface.

39:10

I hope that the service I'm providing

39:12

for people with the free YouTube is

39:14

helping them navigate this whole thing

39:15

between the disruption of artificial

39:17

intelligence into their portfolio and

39:20

then where crypto fits in the whole

39:21

equation. And if that content is good,

39:23

then it'll stay and it'll gather

39:24

viewers. But if it's not, there's a

39:26

billion podcasts out there and I can't

39:28

consume all of them and neither can the

39:30

people watching. So I have to make sure

39:31

that I'm staying on top of things and

39:34

hopefully bringing information that

39:35

helps not only them but share it with

39:37

other people. If someone creates an if

39:39

everyone creates an app tomorrow and

39:40

there's 8 billion apps, there's no way

39:42

to find the apps. So what'll end up

39:44

happening is theoretically everything

39:46

will be bespoke. And this is why I don't

39:49

believe in the arguments of SAS. Yes,

39:52

enterprises might be stuck, but like I

39:54

gave with the RWAs and the kind of we're

39:57

offchain. Okay, well, if you're onchain,

40:00

you're a different type of person.

40:01

Enterprises will never be onchain.

40:04

They're still on mainframes in a lot of

40:05

cases from the days of the 1970s because

40:08

of how big they are and how bloated.

40:10

That's why there won't be public

40:11

companies in the new capital structure.

40:12

They couldn't change that quickly if

40:14

they wanted to. It's the reason why I

40:15

think Palunteer is a buy relative to

40:17

Microsoft because Microsoft can't

40:19

change. It's just too big and they have

40:21

they're hoping people will pay for

40:23

C-Pilot and stay in their world where

40:26

none of the new companies are going to

40:27

use Outlook. They're going to use Gmail

40:29

and then they'll go on to something

40:31

else. So, I do believe the example

40:32

you're giving for people out there when

40:34

you're thinking about the SAS arguments

40:36

and debates, which I don't want to be

40:37

involved in, it's really comes down to

40:40

bespoke. How do I customize something

40:42

for me and can I do it immediately?

40:44

Because there's nuances for everything

40:46

that happens in a business in your life

40:48

and I think that's where the world is

40:49

going is bespoke apps.

40:50

>> So that was all the fun stuff. Now we

40:52

got to get to the tough conversation.

40:54

Blue Owl is in the headlines. Everyone

40:58

claims that they're gating redemptions.

41:00

They came out and said, "No, we're not.

41:02

We're actually giving back more money."

41:04

Fugazi fugazi. Uh are there problems in

41:08

the credit market? Is private credit not

41:10

what people were told it was? How do you

41:12

think about the fear, the chaos, the

41:14

uncertainty, the volatility, the lack of

41:17

marktomarket in the private credit

41:19

world?

41:21

If Salesforce.com's multiple is going

41:24

down, which it has, the stock is down

41:27

significantly.

41:28

A company that is viewed as the best

41:33

CRM system,

41:35

um, how can't private credit be an

41:38

issue? you're lending money to to

41:41

businesses

41:42

and we're taking Salesforce down without

41:45

earnings going down which means we're

41:47

questioning their future. And that's why

41:51

I said longduration assets are in

41:52

trouble. So there's no doubt that

41:54

private credit, private equity, venture

41:56

capital, all these places have this

41:58

problem that I that I spoke about which

41:59

is this hyperco competitiveness. If you

42:01

can envision a world where there are

42:03

billions of apps, well, apps are just

42:06

moneti theoretically monetizing an idea

42:09

because you can create the app and not

42:11

put it on the iPhone. But if all of a

42:12

sudden the app store is like got

42:14

billions of things. The question is,

42:15

okay, now I got to create an app for a

42:17

search engine to weed through all the

42:19

stuff and find it and you depend a lot

42:21

on things that just don't exist. That's

42:23

one of the problems of just too much

42:24

code being built is the hyperco

42:26

competitiveness. And I think where the

42:28

credit fears have gotten to from what

42:30

I've seen of their portfolio somewhere

42:31

between eight and 13% I think it's

42:33

closer to 13% is in the software

42:36

internet services side. The IT services

42:39

sector so not the SL sector but the IT

42:43

services is down 20% this month. This

42:46

includes companies like Asenture like

42:48

this is the consulting side. It's the

42:50

service side because you don't need them

42:52

as much. Now do the enterprises need to

42:55

pay them? Yes. But that's because

42:56

they're slowm moving, bloated. Again, if

42:59

someone is, you know, if you're trying

43:01

to sell food that's unhealthy, you're

43:05

not going to be selling it to someone

43:06

who's eating soybeans and stuff. You're

43:08

going to sell it to people who are less

43:09

healthy. So, these bloated enterprises,

43:11

yes, they're still going to pay for the

43:13

money, and that's why their earnings are

43:14

going up. What the market is really good

43:16

at is looking forward and going, but

43:18

who's replacing that bloated company?

43:20

Who which which ones are going to use

43:21

Salesforce? And they're questioning it.

43:23

They're not saying it won't happen.

43:25

they're just questioning it and

43:26

Salesforce needs to adapt. So I think as

43:28

you go through Blue and all of these

43:29

companies and Blue is just one that's

43:31

had other issues because remember we had

43:33

the tricolor situation for the auto um

43:36

subprime auto lending stuff that blew up

43:38

in September. I think as I'll show in

43:41

this video remember student loan

43:43

delinquencies through the roof. Um and

43:45

and and again delinquency is measured by

43:48

90 days plus paid. Now this is not

43:51

enough to take the economy down but in

43:54

auto loans in student loans in

43:57

commercial real estate in uh what's the

44:00

other one credit card all of them are

44:02

either at or above the levels they were

44:04

in the great financial crisis again

44:07

these are small components because if

44:09

you look in the aggregate it's not that

44:10

big but in terms of just the percentage

44:13

of ones that are up there they're big

44:15

and so I think the private credit world

44:17

is being dragged into the software world

44:19

and what people should realize is we're

44:21

now having trouble with anything built

44:23

on code. So energy companies which used

44:26

to make up or they may still make up the

44:28

highest percentage of the high yield

44:29

market. They're not in trouble and the

44:32

reason they're not in trouble is because

44:34

we need excess power in the future and

44:35

oil prices are stable. The problem for

44:38

again technology companies is the pace

44:40

of change and the fact that we have this

44:43

deflationary spiral which makes it very

44:45

difficult and so credit which is a long

44:47

duration. you're lending people for long

44:49

periods of time, they've become an

44:51

issue. And like a run on a bank,

44:54

investors want money back. So, there's a

44:56

follow-up story today about how they

44:59

ended up getting that money. It doesn't

45:01

read too well. I'll leave it as whether

45:04

the the story is true or not, but they

45:07

talked about bragging, oh, these were

45:08

99.7%

45:10

par. We got them done, but it seems like

45:12

one of the companies they sold them to

45:14

is a company they're involved with. Then

45:17

there was a bunch of pension funds that

45:18

were brought up in this and I'm sure the

45:20

pension funds are now going to be

45:22

checked like did were these good assets

45:23

and if they were good assets and worth

45:24

what they were again when you're in a

45:27

Ponzi scheme and I'm not saying Blue is

45:29

a Ponzi scheme but I am saying if you're

45:30

in a Ponzi scheme and you have a lot of

45:33

money as long as you have some cash and

45:36

go. So, if you're selling off the best

45:37

assets to get cash to give out,

45:39

unfortunately, you end up in a situation

45:41

where I think the skepticism on these

45:43

businesses since no one knows for sure,

45:45

especially in private credit, is going

45:47

to remain as long as the deflationary

45:48

pressures and technology stay.

45:51

>> The blessing and the curse of something

45:54

being opaque,

45:56

>> yeah,

45:57

>> is you don't have to market to market.

46:01

Nobody also knows what it is, right?

46:03

Nobody knows what it's worth. And that

46:06

has been looked at as a blessing for a

46:09

long time.

46:11

I don't know. But maybe it becomes a

46:13

curse now.

46:14

>> I I I think it does. But again, I'm I'm

46:16

I'm going to give people now the um a

46:20

scenario that could happen this year

46:22

that would drive the market down

46:23

significantly. And even though I

46:25

wouldn't it wouldn't stay down, the one

46:27

thing I know about credit is when you

46:30

start seeing the charts that I'll show

46:31

this weekend, which are okay, we don't

46:34

have high yield spreads widening out,

46:35

but we do have the tech high yield

46:37

spreads widening out. So a lot of times

46:41

there's enough diversification it can

46:42

go. My my fear is this. If I asked you

46:46

what's the biggest debt fear story in

46:48

the world, it's the hyperscalers. I

46:50

mean, they're taking Oracle's taking out

46:52

lots of money. Their CDS is through the

46:54

roof. meaning people are betting in a

46:57

fairly high probability that they'll

46:58

have trouble in the next 5 years. Um

47:00

Google just issued 30 some odd billion

47:03

dollars of debt. Like these companies

47:05

that never issued debt are now

47:06

aggressively issuing debt. So if there

47:08

was a problem, it would have to be on

47:10

the hyperscalers. That's the only thing

47:12

big enough in this to to make people

47:14

shake. And they've been worried about

47:15

it. I think this year if the credit

47:17

stuff continues and I've talked about

47:19

this if software doesn't bounce there's

47:22

and I I don't think it'll bounce

47:24

significantly but it either needs to

47:26

become a value trap meaning it just kind

47:28

of sits at these depressed multiples and

47:30

everyone's trying to spend time picking

47:32

and choosing it but it's not worth it

47:34

because it's just dead money for now.

47:36

You could end up in a scenario that if

47:38

it falls down one of the hyperscalers is

47:41

Microsoft. Microsoft is a it's part of

47:44

the SAS world, but it's also part of the

47:46

hyperscaler world. So, they're kind of

47:48

in the epicenter and they've got one

47:49

foot in there, one foot in the

47:51

hyperscalers. The hyperscalers have

47:53

underperformed the market significantly.

47:54

It's one of the reasons why I'm positive

47:55

on global things. You asked me and I I

47:58

didn't directly um answer it last week,

48:00

but you said, "Okay, you might be

48:02

freaking people out. Where should they

48:03

put their money?" I'm like, well, if you

48:04

want to be safe and make money this

48:06

year, it's commodities, but it's also

48:07

moving into Europe and emerging markets

48:09

and Japan and other places because they

48:11

don't have that much software. 90% of

48:13

the software in MSEI world is US

48:16

companies. So, if you don't want to be

48:17

like in the the the the pain, go to the

48:20

foreign countries because they have a

48:22

lot more manufacturing and and

48:24

commodities. So I do think that the

48:27

reality is if people want to get

48:28

negative for this year, you could easily

48:31

get to the point particularly with the

48:32

Chinese models coming out faster and

48:34

faster and faster with the likelihood of

48:36

data centers not being built on time.

48:39

The reality that we're heading into

48:40

midterm elections where right now it is

48:43

starting to move. We're not only in the

48:44

House right now, but we're starting to

48:47

get in the Senate probabilities for

48:48

Republicans to lose that. I think the

48:51

data center AI push back could be a

48:53

bigger story as we get into the second

48:55

half of the year. And I think you can

48:56

make an argument that if the

48:57

hyperscalers and their ability to

48:59

actually get this stuff done, they need

49:01

the revenues to get their RPOS. They are

49:04

spending the money. If these bottlenecks

49:06

between memory and turbines and all this

49:09

stuff really start to back up and the

49:11

Chinese models keep accelerating, you

49:13

could end up a point where people start

49:14

worrying that this is real and maybe

49:16

open AI is an issue and all this stuff

49:18

comes to the market. when you already

49:20

have credit weakening and you've got the

49:22

stories I mentioned about other parts of

49:23

the market plus you have the auto

49:24

lending side you still have the

49:26

commercial real estate side it all

49:28

starts to add up and if that happens and

49:30

you move equities down then it turns

49:32

into a very very scary event for a short

49:35

amount of time and I do think this year

49:36

that is a probability that is greater

49:39

than 25% that we get a a shock of that

49:42

magnitude in our heads whether it's 5%

49:44

10% 15% fall in the S&P I do think it's

49:47

going to happen this year what do going

49:49

to uh do in your video this week.

49:51

>> Uh I'm going to go in detail at the very

49:54

beginning to um emphasize that I think

49:57

people are now at the stage where if

49:59

you've ignored AI as a money manager, as

50:02

someone trading, you don't have any time

50:05

anymore. Um it's over. I I it's moving

50:08

that fast that every day that you're not

50:11

doing something, you're falling further

50:12

behind. So I'm going to emphasize that

50:13

my payw wall launch. So, I'm going to

50:16

emphasize that if you want to not only

50:17

keep on top of things that I go more in

50:19

depth with, find investment

50:21

opportunities, but also relentlessly

50:24

talk about the information that we're

50:25

going through in detail about why this

50:27

regime is shifting. It's there. Also,

50:29

the videos that I'm doing to help train

50:31

people. I'm finishing a paper on and I

50:34

think you'll be interested in this. I

50:35

don't know if these are topics that you

50:36

go through, but I people have asked me

50:37

the question, well, how do I have to

50:40

think differently? I don't know how to

50:41

ask good questions. And so I have two

50:44

things that I'm fascinated with. Um

50:46

being trained at Quantico and like how

50:48

they train anyone graduating naval

50:52

academy anything and you're like I want

50:53

to go to Quanico. Okay. What do they do

50:55

to your brain to constantly ask

50:58

questions in uncertainty because that's

51:00

what we're going into. So you need in AI

51:02

you need to think more like someone who

51:03

came out of Quanico. The other thing is

51:05

you need to think more like someone who

51:06

came out of the Santa Fe Institute which

51:08

is more of a systems thinking get the

51:10

whole puzzle thing in. that is the way

51:12

that I'm teaching people how to use AI

51:14

or at least how to develop an AI

51:16

mindset. So I think for people who are

51:18

interested in that kind of stuff. I'm

51:20

going to talk about that and then of

51:21

course I'll go through all of all of the

51:23

markets and all of the stuff that

51:24

happened. It's been a busy week and

51:26

hopefully it makes the Bitcoin crowd

51:28

happy that uh this slide that I showed

51:30

which I'll go through. I really do think

51:32

people have to start paying attention to

51:34

the way Bitcoin is trading not in an

51:35

absolute basis whether it's 70,000

51:38

100,000 40,000 is not the equation. The

51:41

equation that I care about in the chart

51:42

that I'm looking at is Bitcoin relative

51:45

to software. When that starts to go

51:47

higher,

51:49

everything changes for me.

51:51

After you guys watch this video, please

51:53

subscribe to his YouTube channel. The

51:54

guy comes here every single week. He

51:56

drops all this knowledge. We get to

51:57

learn from him, me included. And all you

51:59

got to do is you just hit the subscribe

52:00

button and then he thinks, "Wow, people

52:02

are really enjoying this." It's that

52:04

simple. That's the thank you. It's a

52:05

digital handshake or digital thank you.

52:07

just hit the subscribe button and uh

52:10

sure will be happy. So, thanks so much

52:11

for doing this

52:12

>> and thank you to everyone. You guys were

52:14

extremely nice at your event.

52:16

>> I met a ton of people and uh

52:18

>> the community is unbelievable. It's

52:20

>> cuz you're cool. It's cuz you're cool.

52:22

>> No fashionable. It's good. It's because

52:24

it's

52:25

>> HRV plummeting, you know, or HRV is uh

52:28

raising. Heart rate is plummeting.

52:30

People are like, "Hey, I got to be

52:32

around that guy."

52:33

>> It was very, very good to be around

52:34

everyone.

52:34

>> All right. Thanks, everyone.

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