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Your 401K Is Their Exit Strategy (SpaceX, Anthropic, OpenAI)

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Your 401K Is Their Exit Strategy (SpaceX, Anthropic, OpenAI)

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828 segments

0:00

So, we're living in a time that might be

0:02

remembered as one of the biggest bubbles

0:04

in history. And that's because in the

0:06

next few weeks, your retirement account

0:08

and your 401k is going to be buying

0:11

shares in some of the biggest IPOs in

0:15

human history, even though you might not

0:17

want to. Okay, how's that going to

0:19

happen? It's going to happen because the

0:21

rules of the financial system were just

0:22

rewritten to make sure that your money

0:25

is going to be buying it automatically.

0:27

Now, this is actually more than just a

0:28

theory. Larry Frink from BlackRock,

0:31

which [music] is the biggest asset

0:32

management company in the world, said

0:34

that your retirement funds and pension

0:36

funds [music] will be used to build out

0:38

this AI infrastructure.

0:40

>> And so much of this money, not just the

0:43

project, is going to be coming from the

0:44

private sector, from savings accounts,

0:47

from pension accounts, from insurance

0:49

companies, and on and on and on.

0:51

>> So, let me explain how this is going to

0:53

happen. In the finance world, there's a

0:55

concept called the IPO or the initial

0:58

public offering. That's when a private

1:00

company goes public, right? It's when

1:02

investors all around the world are

1:03

finally able to buy shares and invest in

1:05

a company. And one of those companies

1:07

that's going public soon is SpaceX. And

1:11

the value of that company is going to be

1:13

$1.75 trillion. Now, to put that number

1:17

in perspective, it would make SpaceX on

1:19

day one more valuable than every

1:23

American defense contractor combined. It

1:26

would also be the biggest IPO in human

1:28

history, even bigger than Saudi Aramco,

1:30

which held that record since 2019. The

1:33

difference though is that Saudi Aramco

1:35

was the most profitable company on the

1:37

planet when it listed. But SpaceX lost

1:40

$5 billion last year. Now, the craziest

1:43

part about all of this though is that

1:45

the financial rules that are supposed to

1:48

protect us from buying these overpriced

1:50

investments at the wrong time were also

1:53

just changed right before these IPOs.

1:56

That's because on May 1st, the NASDAQ

1:59

introduced something called the fast

2:00

entry rule, which cuts the waiting

2:02

period for a company to be included in

2:04

an index from 3 months to just 15

2:08

trading days. And what it also does is

2:11

it gets rid of something called the

2:13

float requirement that would have

2:14

disqualified SpaceX, for example, from

2:16

being included. The rule change will

2:18

also force index funds to artificially

2:22

inflate how much of the company they'll

2:25

have to buy. So, what we now have is a

2:28

handful of insiders that got in really

2:30

early at low prices and now they need to

2:33

exit. And to exit, they need buyers.

2:36

They need a lot of buyers. buyers that

2:38

are going to absorb trillions of dollars

2:40

worth of stock at peak values so that

2:42

the insiders can walk away. But finding

2:45

enough of these buyers for the biggest

2:47

IPOs in history is going to be really

2:49

hard unless you change the rules.

2:51

[music] Which means now your 401k might

2:55

be the exit liquidity they need. Now the

2:58

story gets even crazier because SpaceX

3:00

is just the first company in line, but

3:03

right behind it is OpenAI and Anthropic.

3:06

They're doing their own IPOs and going

3:08

public. So, we'll have three companies

3:11

with a combined valuation of about $4

3:14

trillion.

3:15

So, SpaceX, OpenAI, and Anthropic would

3:19

leapfrog every other company in America,

3:22

basically on day one. And that's why

3:24

some people are saying that this is

3:26

going to be a bubble the likes of which

3:29

we have never seen before, and we're all

3:31

going to fund it with our own retirement

3:34

money. So, in today's video, I want to

3:36

show you how this is all going to work

3:38

and the accounting trick they're going

3:39

to use to make this AI boom look a lot

3:41

more profitable than it really is

3:43

[music] and what you might be able to do

3:44

about it. So, with that said, let's get

3:47

into it. Hi, my name is Andre Jick. Hope

3:49

you're doing well. Come for the finance

3:50

and stay for the AI bubble. So, first I

3:52

want to explain exactly how your money

3:54

is going to end up buying all of these

3:56

IPOs. This is why the financial

3:58

industrial complex is as powerful as it

4:01

is. Because they control the flow of

4:04

capital, aka the flow of where money

4:06

goes. Here's how. There's something

4:08

called the NASDAQ 100. It's basically

4:11

the gold standard index for tech

4:13

companies. It tracks the top 100 tech

4:16

stocks. There's over $600 billion worth

4:19

of investment products that track this

4:21

stuff. Meaning when a company gets added

4:23

to the NASDAQ 100, every single one of

4:27

these funds that tracks the index is

4:30

forced to automatically buy that stock.

4:33

And they don't get a choice or a vote in

4:35

this. And that automatic buying is worth

4:38

billions and billions of dollars in

4:40

demand for whichever company gets added.

4:42

So getting into the NASDAQ 100 is like

4:45

being given a money printer cuz the

4:47

moment that company is included, they

4:49

get access to hundreds of billions of

4:51

dollars in passive investment flows that

4:54

has to buy their stock whether they want

4:56

to or not. Now what's most interesting

4:58

though is that the rules around getting

5:02

into the index just changed on May 1st.

5:05

The NASDAQ introduced something called

5:07

the fast entry rule and it changed three

5:10

things. First, it changed something

5:12

called the waiting period because before

5:14

a new company had to wait until the

5:16

NASDAQ's next yearly review before it

5:19

could be added, and that could take up

5:20

to a year. The fasttrack entry rule cuts

5:24

that down to just 15 trading days. Now,

5:27

the second thing it changed was

5:28

something called the float requirement.

5:30

A float is the percentage of company

5:32

shares that are available for the public

5:35

to buy and sell. So for example, if I

5:37

was a company and I had 100 shares in

5:40

total, but only 10 were available for

5:43

people to invest in, my float would be

5:46

10%. Okay, but in the old rule, the

5:49

NASDAQ wanted a minimum 10% public float

5:52

to even qualify for an inclusion into

5:54

the index. But SpaceX is planning to

5:57

list with a float of around 4 to 5%. So

6:00

under the old rules, that would be an

6:03

automatic disqualification. Now the

6:05

third change is a hidden multiplier

6:09

right and what that means is for any

6:11

company listing with a float less than

6:14

20%. The NASDAQ now artificially

6:18

inflates how the stock is weighed in the

6:21

index. So a 4% float gets treated as if

6:24

it were 12%. A 5% float is treated like

6:27

15%. So this multiplier is now 3x, which

6:31

means index funds are now legally

6:34

required to buy more stock than the

6:37

actual available supply would normally

6:39

justify. Now, what's important to

6:40

understand here is that the NASDAQ

6:42

didn't just write these rules for SpaceX

6:44

specifically. [snorts] They wrote them

6:46

for a whole class of companies and

6:48

SpaceX just happens to be the first in

6:50

line for these IPOs, but right behind

6:53

them is OpenAI and Anthropic, and

6:56

they're planning to do their own public

6:58

listings. So, just three companies that

7:00

are going public are going to be

7:01

potentially funneling as much as $4

7:03

trillion worth of newly issued stock

7:06

into passive retirement accounts within

7:08

a couple months of each other. And the

7:10

NASDAQ, by the way, is not alone. The

7:13

FTSE, Russell, another index is doing

7:15

the same thing. They are allowing the

7:18

index inclusion after just 5 days,

7:20

right? S&P is doing the same thing. So,

7:24

what we have is every major index

7:26

provider is racing to update their rules

7:29

at the same time. Now, you could look at

7:31

this and say, okay, well, maybe the

7:33

rules needed updating. Maybe the system

7:36

just needed a firmware upgrade. Maybe.

7:39

Some people say though that the timing

7:40

of all of this is just very suspicious

7:43

because every single one of these rule

7:45

changes was announced just weeks and

7:47

months before the biggest IPOs in human

7:50

history. Right? All of these companies

7:52

are being listed within just months of

7:54

each other. So that is the mechanism of

7:57

how your retirement account will end up

8:00

owning SpaceX, OpenAI and Anthropic

8:03

whether you want to or not because the

8:05

rules are changing to accommodate them.

8:09

So now the question is well why are they

8:11

trying to force everyone to buy these

8:13

companies and why right now? Now

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for sponsoring this segment. And now,

8:59

let's get back to it. Okay, so why are

9:01

they trying to get everyone to buy these

9:03

IPOs? And the basic answer is that these

9:06

companies need to sell trillions of

9:08

dollars worth of stock. And the only

9:10

buyer that's big enough to absorb that

9:12

much supply is the passive investment

9:14

complex. the trillions of dollars that's

9:17

sitting in our 401ks and index funds

9:20

across the whole country because

9:22

remember passive investors don't choose

9:24

what they buy. They just buy whatever

9:26

makes up the index. So if you want a

9:30

guaranteed demand for your IPO, you

9:33

don't go to the investors and try to

9:35

pitch to them. You just try to get into

9:37

the index. But if the rules say, well,

9:40

you don't qualify for the index, you

9:42

change the rules, right? That is the

9:44

name of the game. But for this game to

9:47

work though, they need something else.

9:50

They need an epic story, right? They

9:52

need a dream because investors love to

9:55

buy the dream. And SpaceX has one of the

9:58

best dreams ever told. Because if you

10:00

ask anyone on the street what SpaceX

10:02

does, most people will probably tell you

10:04

something about rockets, right? maybe

10:06

going to Mars, maybe Elon doing

10:08

something crazy. Most people's

10:10

perception is that they're trying to

10:12

make humanity become a space exploring

10:15

civilization, and that is worth a lot of

10:18

money. But behind this dream, SpaceX is

10:22

actually made up of three completely

10:24

different businesses. There's the rocket

10:26

business that's made up of things like

10:28

government contracts, NASA missions,

10:30

reusable rockets, and last year they did

10:33

around $4 billion in revenue. That's a

10:35

lot of money until you realize that's

10:38

only about a quarter of the company's

10:39

total business. The second business is

10:42

Starlink, which is that satellite

10:44

internet provider. They have 10 million

10:46

subscribers across 150 countries and

10:49

they made 11.4 billion in revenue with

10:51

63% profit margins. It's all really

10:53

impressive. So Starlink is actually

10:55

genuinely doing really good. And if all

10:58

SpaceX was Starlink and these reusable

11:01

rockets, then maybe this is a completely

11:03

different story. But there's a third

11:05

business and that business is losing a

11:08

lot of money. It's called XAI, Elon's

11:11

artificial intelligence company. But

11:13

that company burns over a billion a

11:16

month. So when you look at SpaceX and

11:18

the three separate companies that it is,

11:21

the overall picture is that SpaceX

11:23

actually lost $5 billion last year. So

11:27

Starlink makes money, right? Rockets

11:29

make money and then XAI kind of like

11:32

lights it on fire. So what you're

11:34

actually being asked to buy right now at

11:36

1.75 trillion is all of that bundled

11:40

together at the biggest IPO values in

11:42

human history. And the only reason that

11:46

might not sound crazy to some people is

11:47

because they believe in the dream,

11:49

right? Which is this AI boom and the

11:51

artificial intelligence is going to

11:52

change everything and make everything

11:54

grow forever and ever, right? Maybe,

11:56

right? But some people say the problem

11:58

with that dream is that if you look at

12:00

the math, it just doesn't make any sense

12:02

right now. Now, so far I've explained

12:05

the mechanism of how your money will get

12:07

funneled into these IPOs automatically

12:09

and maybe how they might not be worth

12:12

that much, but what I haven't explained

12:14

is why are these companies trying to go

12:17

public specifically right now? So, one

12:19

of the best theories I've been able to

12:21

find about why they're all trying to go

12:22

public right now is because this whole

12:26

debt based AI boom, right? The trillions

12:29

of dollars in valuations and the record

12:31

profits that are in the headlines about

12:32

tech companies printing money, a big

12:35

part of this is sort of an illusion.

12:38

It's a paper illusion that is built on

12:40

an accounting trick where money is

12:43

passed from one company to the next to

12:46

the next and back to that same company.

12:48

Right? which artificially increases how

12:50

much money it looks like they're making.

12:53

Now, that strategy works for only as

12:56

long as the markets stay strong. But

12:58

remember, there's also a geopolitical

12:59

context to consider and what's happening

13:02

in the Middle East because the longer

13:04

they wait, the more likely that the

13:07

financial markets could break by the

13:10

reality of the supply chains. So, they

13:12

need to move fast. They need to pump up

13:14

the value as high as possible and get as

13:16

many people to buy it. So, let me just

13:18

give you an easy example of how they're

13:20

pumping this. And then we'll get into

13:21

the specifics. But imagine I lend you

13:24

$100, right? And then you use that $100

13:26

to buy a Pokémon card. That card goes up

13:29

in value $1,000. I then get to write

13:32

down on my tax return that I made $900

13:35

in profit, even though I never sold

13:37

anything. Even though that $900 exists

13:40

only on paper. And then I use that paper

13:43

profit to justify lending you another

13:46

$5,000 to buy even more cards, right?

13:48

That is roughly a simple way of

13:50

explaining what's happening between all

13:51

these tech companies. So, let me show

13:53

you. A group of analysts at the

13:55

Financial Times looked at something

13:56

called the capex, which is capital

13:58

expenditure. a fancy way of saying how

14:01

much money Microsoft, Google, Amazon,

14:04

Meta, and Oracle are planning to spend

14:07

on building out AI infrastructure

14:10

between now and 2030. And then they

14:12

looked at how much revenue those same

14:15

companies are expected to make from

14:18

those investments over the same time

14:20

period. And so they asked, okay, are

14:22

these companies going to make more money

14:25

than they spent? And the answer for

14:28

almost every single one of them was no.

14:31

Under the most generous assumptions

14:33

possible, assuming zero costs, no

14:36

salaries, no electricity, no overhead,

14:38

nothing, Microsoft's implied return on

14:41

its AI investment was 9.2%. Google was

14:45

negative 15.7%. Meta's negative 28.8%.

14:48

Oracle's negative 35.6%.

14:51

The only company that clears it into

14:53

positive is Amazon at just 7.2%.

14:58

These aren't worst case scenario

15:00

numbers. Remember, these are the best

15:01

case numbers, assuming it costs these

15:03

companies literally nothing to build and

15:06

run their AI infrastructure. They all

15:08

still lose money. Now, let's look at how

15:11

they're funding all of this. Where do

15:13

they get the money to do this? This year

15:16

alone, those very same companies have

15:18

issued over $150 billion in what are

15:22

called corporate bonds to fund this AI

15:25

spending. Now, to put that in

15:27

perspective, that is more than double

15:29

what they were doing just 2 years ago.

15:31

And look what's happening to what's

15:33

called their free cash flow. As a

15:36

result, Microsoft, Meta, Google have all

15:39

seen their free cash flow margins, which

15:41

is the actual money left over after

15:43

spending, collapse towards zero when you

15:46

account for their AI capital

15:49

expenditure. JP Morgan's analysts are

15:51

projecting that by 2027,

15:54

several of these companies will have

15:56

negative free cash flow, meaning they

15:58

will be spending more than what they'll

16:01

be bringing in. from companies that were

16:02

just a few years ago the most profitable

16:05

businesses in human history. But it gets

16:07

crazier. On the other side of that

16:10

spending, look at who they're spending

16:12

it with. It is all with each other. Open

16:16

AAI has committed 280 billion to

16:18

Microsoft and 138 billion to Amazon.

16:21

Anthropic committed 30 billion to

16:23

Microsoft and 100 billion to Amazon. In

16:26

total, OpenAI and anthropic spending

16:29

commitments represent roughly half of

16:32

Microsoft's entire revenue backlog. 54%

16:35

of Oracles, 51% of Amazon's. So, what

16:38

you actually have is a system where big

16:42

tech invests into AI startups. The AI

16:46

startups then use that money to rent

16:49

computing power back from big tech. Big

16:52

tech books the investment gains as

16:54

profit and then uses that profit to

16:57

justify spending even more. The money is

17:00

mostly going in a circle. Michael Bur's

17:03

company recently did a deep dive on this

17:05

exact thing. And the circle only keeps

17:08

spinning as long as everyone sort of

17:10

agrees about the valuations which sort

17:14

of brings us back to the IPO. The second

17:16

these companies go public, the

17:19

valuations stop being whatever just a

17:21

couple investors decided they were in a

17:23

private funding round, right? They

17:24

become whatever the open market decides

17:27

they're worth. And if those numbers come

17:30

in lower than what Google and Amazon

17:33

have been booking as profit, then those

17:35

profits have to get revised, right? The

17:37

earnings that justified the stock prices

17:40

get revised downward and then the whole

17:43

loop goes in reverse, right? So this

17:45

theory says that is why the timing of

17:49

all of this is so important to them.

17:51

That's why they changed the rules. That

17:53

is why there's such an urgency to get

17:55

these IPOs to go public as fast as

17:58

possible. They need these IPOs to

18:00

validate the paper before the paper runs

18:03

out or gets exposed by some conflict in

18:05

the Middle East. So now the question is,

18:08

well, has this happened before in

18:10

history? And what happened to the stock

18:12

market? Turns out it has happened

18:14

before. Now there's a famous saying in

18:16

the investment world that says history

18:18

doesn't repeat itself, but it rhymes. So

18:20

it might not happen the same way again,

18:23

but this has happened before and it did

18:25

not lead to good things. There's a chart

18:28

from the Financial Times that I think is

18:29

really interesting. It shows the

18:31

biggest, most hyped, most culturally

18:34

significant IPOs in American history

18:36

against the S&P 500, aka the stock

18:39

market. It shows companies like Xerox

18:42

went public when investors were

18:44

desperate to own it and then the market

18:46

peaked right after. Ford went public

18:49

when investors were desperate to own it.

18:51

Right? The market peaked right after.

18:53

McDonald's, Apple, Goldman Sachs,

18:56

Blackstone, every single one of these

18:58

companies went public at the same moment

19:00

when public excitement about owning them

19:02

was at the highest point. And in almost

19:04

every single case, the market peaked

19:08

right after. That's because the IPO is

19:11

rarely about the company needing money,

19:13

right? It's almost always about the

19:15

seller needing a buyer. And the best

19:18

time to find a buyer is when everyone

19:20

wants what you're selling. And that

19:22

brings us to right now. By the time

19:25

SpaceX, OpenAI, and Anthropic complete

19:28

their IPOs, they will have raised as

19:32

much money as all the 300.com IPOs from

19:36

the year 2000 combined. and that's

19:39

adjusted for inflation. That is

19:41

unbelievable. Now, a lot of people have

19:43

said that the AI boom is nothing like

19:46

the.com bubble. And they do have a point

19:48

cuz one of the classic signs of a bubble

19:50

is when values get completely

19:52

disconnected from reality. That's when

19:54

something called the PE ratios, the

19:57

price to earnings ratio goes up really

19:59

fast, right? And companies start trading

20:02

at hundreds of times what they make

20:04

without any profit. And by that measure,

20:08

the AI boom looks different. The PE

20:10

ratios of most of these companies are

20:13

not that insane. The valuations look

20:15

kind of reasonable. But that's what

20:18

makes maybe this bubble more dangerous

20:20

than any other one. Because according to

20:23

BCA research, for example, the AI bubble

20:27

is not a valuation bubble. It might be

20:29

what's called an earnings bubble.

20:32

Earnings bubbles are much harder to see

20:34

coming. What's the difference? In a

20:36

normal bubble, the stock price goes up

20:39

while the earnings of the company stays

20:41

flat. So, the price to earnings ratio

20:43

goes up really fast with no correlation

20:46

to its earnings. But an earnings bubble

20:49

like this one might be. It's that the

20:52

earnings themselves that are inflated,

20:55

right? The price to earnings ratio can

20:57

still stay low and look reasonable. And

20:59

that's because it's that E, right? the

21:02

earnings number. That's what's being

21:04

artificially propped up, which is

21:07

exactly what could be happening with

21:09

that accounting trick we talked about,

21:11

right? The paper gains from anthropic

21:12

investments are inflating the earnings

21:15

of Google and Amazon, and it's making

21:18

their PE ratios look healthier than they

21:21

might actually be. And history has a

21:23

very clear track record with earnings

21:24

bubbles. It happened with homebuilders

21:27

before 2008. Their PE ratios looked

21:30

reasonable right up until the moment

21:31

they didn't. It happened with banks

21:33

before the financial crisis. Perfectly

21:35

healthy earnings numbers right until the

21:38

earnings themselves were shown to be

21:40

built on assets that were worth a

21:41

fraction of what they were being carried

21:44

at on the books. And the theory is that

21:47

it's happening right now with

21:48

semiconductors. Look at this chart.

21:50

Global semiconductor sales have gone

21:52

completely parabolic. A straight

21:54

vertical line up, right? And every time

21:56

in history that semiconductor sales have

21:58

looked like this, what followed was a

22:02

very brutal earnings collapse. In almost

22:04

every historical case, the stock price

22:06

peaked before the earnings did. Which

22:10

means by the time the earnings started

22:13

going down, the stock had already been

22:16

dropping for months and nobody had

22:18

connected the dots yet. Look at Nvidia

22:21

for example. In December 2001, Nvidia

22:24

peaked and then went down 83% before

22:26

earnings caught up. In November 2021, it

22:29

peaked and went down 53% before earnings

22:32

caught up. There's Micron, Intel, the

22:34

S&P 500 tech sector. The same pattern

22:37

repeats across every single

22:39

semiconductor cycle in modern history.

22:42

The stock sort of always knows before

22:44

the earnings do. And right now,

22:47

something very weird is happening in the

22:50

broader market. That suggests that the

22:52

stock market might already be starting

22:54

to know. The S&P 500 has just hit four

22:57

consecutive record highs on what's

22:59

called negative market breadth. Meaning

23:02

the index keeps going up, but more

23:06

stocks are actually going down than

23:09

going up, right? The gains are being

23:11

driven by just a handful of the very

23:14

biggest companies while everything else

23:16

is just deteriorating. And according to

23:19

the data, this has literally never

23:21

happened before in market history. Four

23:23

consecutive record highs with negative

23:26

breadth. This just basically means the

23:28

S&P 500 as an all-time high and it's

23:32

kind of hiding what's actually

23:33

happening. And what's happening is a

23:36

market that is concentrating. It's

23:38

becoming more and more dependent on a

23:40

smaller and smaller group of companies

23:42

to hold the whole thing up. And here's

23:45

exactly what that looks like. By the

23:47

way, right now AI related stocks make up

23:50

almost 49% of the whole S&P 500's market

23:54

cap. 41 stocks out of 500, about half

23:58

the entire index. Which means if

24:00

anything goes wrong with AI, it won't

24:03

just hurt tech stocks. It will hurt

24:06

retirement accounts. And that's because

24:08

almost 50% of our retirement accounts is

24:10

essentially a bet on AI right now if

24:13

you're in these indexes. Right? These

24:15

are the same companies, by the way, that

24:17

are about to be joined by the three

24:19

biggest IPOs in history. So, let me tie

24:21

all of this together and give you the

24:23

big picture of what's happening. So far,

24:25

the US personal savings rate just hit

24:27

2.6%. And that's the lowest that it's

24:30

been in 4 years, which means the average

24:32

American almost has nothing left in

24:35

reserve. And also, the real wages are

24:38

going down. The bottom half of the

24:41

consumer economy is already in distress.

24:43

In fact, what's mind-blowing is that the

24:46

top 10% of earners right now are the

24:49

only reason the economy is not in a

24:52

recession. The top 10% of spenders are

24:55

holding up half of the economy. Now,

24:58

here's another chart that shows exactly

25:00

why it's happening and why it's probably

25:02

going to get worse. Corporate earnings

25:04

are going up, which is good, but workers

25:07

incomes are not. They're flat and that's

25:09

not good, right? The gap between those

25:11

two lines is AI. Remember when companies

25:15

were laying people off and telling us

25:16

it's because of AI? That's why that gap

25:19

is there. Companies are automating their

25:21

way to higher profits while the people

25:25

who work for them are starting to make

25:27

less and less. One researcher said, "At

25:30

the limit, firms automate their way to

25:33

boundless productivity and zero demand."

25:35

Right? Think about this passive

25:38

investment money that SpaceX and OpenAI

25:41

and Anthropic are counting on to buy

25:42

their stock. That only exists as long as

25:47

American workers have paychecks to

25:49

invest that money every 2 weeks. Right?

25:52

The moment that AI displaces those

25:55

paychecks, the very thing that these

25:58

companies are exploiting, well, that

26:00

starts to get smaller. there's less

26:02

money for them because they got rid of

26:04

their own workers, which is another

26:06

reason why this window might be closing

26:09

and why these companies want to go

26:10

public right now. But remember, there's

26:13

also the straight of her rem. It's been

26:15

closed for 3 months due to the Iran war.

26:17

Exon Mobile's senior vice president went

26:20

on stage at a conference in New York and

26:22

said that oil inventories are going to

26:24

hit critically low levels within the

26:26

next 2 to 3 weeks. And when that

26:29

happens, the price of oil goes up. His

26:31

estimate was $150 to $160 a barrel. If

26:35

that happens, that would mean every

26:38

country that imports oil, which is most

26:40

of them, they'll suddenly need a lot

26:43

more dollars to pay for this oil. And

26:45

when countries need their dollars fast,

26:48

where do they go to get them? They sell

26:51

whatever dollar denominated assets they

26:54

own. And the biggest dollar denominated

26:57

assets most countries hold are US

27:00

Treasury bonds. So they sell US

27:03

treasuries. And when you sell

27:04

treasuries, interest rates go up because

27:07

the US needs more buyers. And the way to

27:10

get more buyers is to tempt them with

27:13

higher interest rates, right? But when

27:15

rates go up, borrowing gets more

27:17

expensive for everyone, for governments,

27:19

for companies, for consumers. Here's a

27:21

chart from FFTT. Since the beginning of

27:24

the Iran war, wherever oil goes,

27:27

Treasury yields follow almost perfectly,

27:30

which means if Exxon Mobile's right

27:32

about $150 oil coming in the next few

27:35

weeks, Treasury yields are likely going

27:37

to levels that start breaking things.

27:39

And we're kind of starting to see the

27:40

early signs of that. Emerging market

27:43

countries sold US treasuries in March at

27:46

the fastest rate since at least 2023.

27:50

27 countries have approached the World

27:52

Bank looking for emergency crisis

27:55

funding. Global bond yields are breaking

27:58

out of multi-year consolidations across

28:00

the US, UK, Germany, Japan, and Canada.

28:05

And sitting right in the middle of all

28:06

of this is the new Federal Reserve

28:08

chairman Kevin Worsh, who remember was

28:10

hired by President Trump to lower

28:12

interest rates. except the market right

28:14

now is predicting that interest rates

28:16

will go up. For the first time in four

28:19

years, the two-year Treasury yield is

28:22

above the federal fund rate, which is

28:24

basically the market's way of telling

28:26

the Fed it should be increasing interest

28:28

rates, not lowering them. But if Kevin

28:32

Walsh lowers interest rates into an

28:34

inflation spike when oil is going up,

28:36

right, then the dollar falls, inflation

28:39

gets worse, and bond yields go up even

28:42

higher as more countries and investors

28:45

lose confidence and sell more of their

28:47

US bonds. But if he increases interest

28:50

rates, the stock market drops because

28:53

corporate borrowing costs go up. And

28:56

this whole AI spending boom that's been

28:58

holding up 93% of US GDP growth now has

29:03

a much higher cost of capital. Right?

29:05

Either way, it looks like yields are

29:08

going to go up and higher yields are the

29:11

one thing that could pop everything

29:14

we've talked about like all the paper

29:16

profits and the circular spending and

29:18

the $150 billion in corporate bonds that

29:21

all these companies issue to fund their

29:23

AI spending, right? All of it gets more

29:26

expensive and it comes under pressure

29:30

right at the three biggest IPOs in

29:32

history. So that is the macro big

29:35

picture reason for why they might be

29:37

changing these rules right now because

29:40

the window might be closing and maybe

29:43

the people on the inside kind of know

29:44

that. Okay. So how do you make money or

29:46

at the very least not lose money in that

29:48

case? because I don't want you to walk

29:49

away from this video thinking that

29:51

investing is bad or that SpaceX or AI is

29:54

a fraud or a scam or that technology

29:56

doesn't work. Right? It does work and I

29:59

think Starlink is genuinely one of the

30:01

most amazing things that's been built in

30:03

the last decade and AI is real and it is

30:06

going to change the world in the next

30:08

century. But I also think there's a big

30:10

difference between a technology winning

30:12

and investors winning. Right? Those are

30:14

two completely separate things and we

30:16

have a lot of historical examples of

30:18

this. Like in the late 1800s, for

30:20

example, the railroad boom changed

30:23

America forever. Railroads connected the

30:26

whole country and they expanded commerce

30:28

at a scale that was impossible before.

30:31

They transformed things like agriculture

30:32

and manufacturing, supply chains,

30:34

everything. The technology was real and

30:37

the railroads are still here today. But

30:40

almost every single investor who funded

30:42

the railroad boom got wiped out. Those

30:45

companies went bankrupt and their stocks

30:47

collapsed. Right? The people who built

30:50

the railroads lost everything. But then

30:52

a new group of investors came in. They

30:54

bought the same railroads out of

30:56

bankruptcy at pennies on the dollar and

30:59

they made fortunes. The same thing

31:02

happened with the fiber optic cable boom

31:03

of the 1990s. Hundreds of billions of

31:06

dollars were spent laying cable across

31:09

the whole country and under the ocean.

31:11

Right? The companies that laid it though

31:13

went bankrupt in the dotcom crash. And

31:16

then a decade later, that same fiber

31:18

optic infrastructure became the backbone

31:21

of the internet. That's how you're able

31:23

to watch this video right now.

31:25

Technology won, but the initial

31:27

investors lost. And it was the people

31:30

who bought those assets afterward that

31:32

built the world we live in today. That

31:35

has always been the pattern. And that

31:37

pattern is what I think will most likely

31:39

happen with AI. I think it's the initial

31:42

investors, the people buying at $1.75

31:46

trillion valuations, the passive funds

31:49

that are forced in by these rule

31:50

changes. They're going to absorb any

31:53

potential losses. the technology itself

31:56

will keep on evolving and a new group of

31:58

investors will pick it up at much lower

32:01

prices and they'll build the next era on

32:04

top of it. Okay, then so what do you

32:07

actually do with this information? And I

32:09

think the first thing is just understand

32:11

what your index funds actually own

32:14

because then the next few weeks they're

32:16

going to own SpaceX and after that open

32:19

AI and anthropic at values that history

32:22

suggests is extremely unfavorable entry

32:25

points for passive investors. Now I'm

32:27

not saying you should sell everything,

32:29

but you should know what you own and

32:31

why. The second thing you might be able

32:33

to do is actually know where your money

32:36

should be invested right now to protect

32:37

yourself against all the possible

32:39

outcomes because maybe none of this

32:41

matters. Maybe it's not a bubble, right?

32:43

Maybe the IPOs will go great and Kevin

32:46

Worsh might thread the needle at the

32:48

next Fed meeting. Hermuse might reopen

32:51

next week. The AI boom might generate

32:53

returns that justify all the money

32:55

that's been spent. History might not

32:57

rhyme this time. Maybe. For me

33:00

personally, I just like to think that

33:02

the job of investing is not for me to be

33:05

right about a specific thing. The job of

33:08

investing is to put my money into

33:10

multiple outcomes cuz no one knows

33:12

what's going to happen based on their

33:14

probabilities of happening. Now, if

33:16

you're interested in seeing how I'm

33:18

preparing and how I'd like to invest,

33:20

those videos live in the premium member

33:21

section where you'll also get access to

33:23

my main videos earlier. And if that's

33:25

valuable to you, the link is down below.

33:27

It allows me to make more videos like

33:28

this one and take on fewer sponsors.

33:30

Thank you so much for watching this

33:31

extremely long video and being a member.

33:33

I hope you have a wonderful rest of your

33:35

day. Smash the like button. Subscribe if

33:36

you haven't already. I'll see you next

33:37

week. Bye-bye.

Interactive Summary

This video explores how recent changes to financial rules by the NASDAQ and other index providers are effectively forcing passive investment funds—like those in 401ks—to automatically purchase shares in highly valued, upcoming IPOs for companies like SpaceX, OpenAI, and Anthropic. The narrator argues that these rule changes, such as the 'fast entry rule' and adjusted float requirements, are designed to create 'exit liquidity' for early insiders. Furthermore, the video suggests that much of the current AI boom is driven by circular investment accounting between tech giants and startups, potentially masking a bubble where valuations are disconnected from actual profitability, and warns that passive investors may bear the risk when these trends correct.

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