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A Massive Black Swan DISASTER *JUST* Hit Markets | Crash.

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0:00

Well, the market had a heart attack

0:02

today and there are three reasons for

0:04

the heart attack. The first has to do

0:06

with a major black swan in private

0:09

credit, which is exactly what we talked

0:11

about yesterday that the Fed is trying

0:14

to solve. So, we got a black swan in

0:17

private credit. We got fake news maybe

0:21

on an Oracle delay that gave the market

0:23

a heart attack and then Oracle's like,

0:25

"No, that's fake news, bro." We'll talk

0:28

about that. and then

0:31

Fed. All three of these things are big

0:35

issues going on in the market right now

0:37

and you should know about all three of

0:39

them. So, let's break them all down one

0:41

by one. First, there's something that

0:44

you have to understand and it's a little

0:46

bit complicated, but I'm going to make

0:48

it as simple as possible. When a company

0:51

goes bankrupt, they take on something

0:54

known as debtor in possession financing.

0:58

It's called a DIP loan. Okay. Now, you

1:01

might be thinking, Kevin, like this this

1:02

seems so me like micro. Why do I care

1:04

about this? You're gonna see how this

1:06

relates to the Fed, how this relates to

1:08

the entire economy because what just

1:11

happened is a very rare black swan. This

1:14

is very bizarre. You don't see this

1:16

happen almost ever. And I'm going to

1:19

give you these facts.

1:21

A DIP loan is a debtor in possession

1:23

loan. Usually these loans are given to

1:28

bankrupt companies and and we usually

1:30

think like that sounds ironic like it

1:32

why would I lend money to a bankrupt

1:33

company? They're just going to screw me,

1:34

right? The way it works is you go hey

1:37

I'm going bankrupt. So companies come in

1:40

and they're like all right well it looks

1:41

like you have some assets. We'll get in

1:44

front of all of the other shareholders

1:46

and bond holders, all the other debt

1:48

holders. We'll help you get through

1:50

bankruptcy and we'll arrange financing

1:52

for you based on what you have left,

1:54

assuming we're in front of everybody

1:56

else. Usually, these loans sell for a

1:59

massive premium because they're

2:01

considered really good institutional

2:04

debt. Like, they're considered safe. May

2:07

maybe you shouldn't use the word safe,

2:08

but they're considered

2:10

safe. Okay. Now, take a look at this.

2:15

This gray line right here you're going

2:17

to see is the 100% value line for the

2:20

bonds. That means they were selling for

2:24

a premium, right? So, so the bonds were

2:27

selling for a premium. This is normal

2:29

for a dip loan. Okay. Well, what just

2:32

happened with First Brands on the day

2:34

that the Federal Reserve said we were

2:36

going to turn on the money printer? This

2:38

could be directly related to why the Fed

2:40

turned on the money printer. What

2:42

happened with First Brands? Look at

2:44

this.

2:46

Oopsies.

2:48

That 100% bond value collapsed 60%.

2:55

This is on a company that has 10 billion

2:58

in debt. This is not normal. It is not

3:02

normal to see this happen. Now, to

3:04

understand that it is not normal, I

3:07

think it's useful to look at research

3:09

from this company called ECGI.

3:13

ECGI put this paper together back in

3:15

2022 and they talk about DTOR and

3:18

possession financing and they literally

3:20

say that at first blush loans to

3:23

bankrupt companies may seem highly

3:25

risky. However, we show that all of the

3:28

545 DIP loan facilities raised between

3:32

22 to 2019 received full repayment on

3:37

principal and interest. Full repayment.

3:40

Moreover, evidence on repayment extends

3:43

the Moody's research, which suggests

3:45

that going back to 1988, there's only

3:48

been a there's only ever been one

3:50

bankruptcy or like failure on one of

3:52

these DIP loans, basically, which

3:55

suggests that repayment risk is no worse

3:58

than institutional grade or investment

4:00

grade loans. So, basically, DIP loans

4:03

are designed to overcolateralize and

4:07

inst like insulate risk, right?

4:10

But wait a minute, if these DIP loans

4:12

are so good, why all of a sudden are we

4:16

seeing a collapse of 60% on a DIP loan

4:20

in the private credit market? Now, two

4:24

things are possible here. One thing is

4:26

possible that maybe First Brands just

4:28

really sucks.

4:31

But look at this because this is really

4:33

sus.

4:35

The very company that goes in to say

4:38

that, "Oh, First Brands is a great

4:41

company. They just have a bad balance

4:43

sheet. You should support First Brands

4:45

in Private Credit." They're called

4:47

Marathon Asset Management. The same

4:50

company that said, "Oh, guys, it's a

4:53

great company. Don't worry." The same

4:56

company actually sold their entire stake

5:00

in the new money portion of the

5:02

bankruptcy loan at or above 105 cents on

5:06

the dollar and dumped it all right

5:08

before the collapse. So the same slime

5:12

bags that said, "Guys, everything is

5:15

fine. Join the dip party dumped right

5:19

here before the big dump."

5:23

Now, this sends two signals that either

5:26

Marathon is a scam or

5:30

First Brands is is just really, you

5:34

know, this was an oopsy dupy and First

5:35

Brands is really just worse than

5:37

everybody thought. But collectively, all

5:40

of this reiterates fear about private

5:44

credit stress. And remember what we

5:47

talked about with the Federal Reserve.

5:49

The Federal Reserve needs to print

5:51

money. Today is the day they start

5:53

running the money printer to try to

5:56

reduce some of the stress in private

5:57

credit markets because if they provide

6:00

funding for banks who are seeing money

6:03

leave the banks to go to the Treasury

6:05

General account because of tax

6:06

collections and the Fed is trying to

6:08

refill money at banks. What do banks do?

6:11

Banks lend to companies like Blackstone

6:14

or Black Rockck or these management

6:17

companies so they can go make these

6:19

risky loans. But the problem is even

6:23

they are bailing out on these private

6:25

credit loans to where what's considered

6:29

safe lending is becoming unsafe.

6:33

That's a black swan. And I think that's

6:36

why the Fed is turning on the money

6:37

printer because it is so incredibly rare

6:40

to see what is considered safe in

6:42

private credit flip on its head. And

6:45

this is exactly why people are nervous

6:48

about what's going on with this Oracle

6:50

nonsense and the Oracle rumor that

6:53

started circulating. So first of all, I

6:56

want to mention a couple things here.

6:58

This morning in our alpha report I said

7:01

that there is a rotation happening out

7:04

of hardware plays for artificial

7:06

intelligence and I specifically named

7:09

bearishness on Oracle, Corewave, Nvidia

7:14

and AMD and I said that we really need

7:17

to maintain the 79 line on Coreeave. We

7:22

briefly lost that line. Fortunately,

7:25

we've recovered that. Well, you'll find

7:27

that we are well lower than where we

7:30

were when I gave that warning to people

7:32

in the alpha report this morning. Even

7:34

after this little popup recovery on

7:36

Oracle saying the news that came out was

7:38

fake news, we're still lower. And you're

7:41

seeing that on NBIS, you're seeing it on

7:43

Nvidia, on AMD, you're seeing it on

7:46

AVGO. Like if you were in the alpha

7:48

report this morning and you listened to

7:49

me say there is a rotation out of

7:52

hardware be careful you would have been

7:54

out at Broadcom at 387 versus the 364

7:58

where it sits now.

8:01

So now Broadcom isn't necessarily a bad

8:05

company. I mean look at the balance

8:07

sheet for for or uh Broadcom. It's

8:09

actually phenomenal. You know Broadcom

8:12

has $30 billion in cash and receivables.

8:15

They have $18 billion of of bills. And

8:18

sure, they have 71 billion of long-term

8:20

debt, but this is a cash flow machine.

8:23

Like, this company not only generates

8:26

massive revenues in net income, you

8:28

know, their net income is fantastic. In

8:31

the quarter, they generated $8 billion

8:33

of net income, but they literally have

8:35

$30.8 billion of cash flow per year.

8:39

They could pay off all their debt in

8:40

like two years with this cash flow and

8:42

they're not spending a lot on capex. So,

8:45

some of this selloff is likely very

8:47

overblown. But why is it overblown? It's

8:51

overblown again because of private

8:54

credit concerns. Look, folks, Deutsche

8:57

Bank is telling you what could go wrong

9:00

in the investment bubble. Debt. Debt.

9:04

Debt. Debt. Debt. Debt. Debt. Debt. Now,

9:07

we're going to talk about debt and how

9:08

this relates to private credit. I want

9:10

to mention this is exactly why my real

9:13

estate startup has zero bank debt and we

9:16

do now have a deadline to invest. So, if

9:19

you want to invest in my real estate

9:21

startup, we are closing the fund raise.

9:23

I talked to the board. We decided that

9:26

now we are profitable so far Q4 through

9:30

December 12th profitable paying any, you

9:33

know, interest on our convertible bonds.

9:34

We don't have any bank debt, so there's

9:36

no interest to pay there. Depreciation,

9:38

like all of that included, our revenues

9:40

are greater than our expenses. We just

9:42

went profitable in Q4, which is great.

9:44

Uh, but we don't need to pay, we

9:45

believe, this 5% plus upside anymore.

9:48

And so, we're going to close that round.

9:49

Obviously, anybody who invests before

9:51

December 31st locks that in, you know,

9:54

real estate backed, invest with credit

9:55

card, a wire, no fees. Obviously, I

9:57

encourage you a and wire. I don't think

9:59

people should take on debt to invest.

10:01

Read the offering circular. There's risk

10:03

with every investment, but the board

10:04

decided we're going to close this

10:06

because we're dropping our artificial

10:08

intelligence software this month. Uh the

10:10

revenues we're already seeing from our

10:12

artificial intelligence pre-sale are

10:14

really good. Like people are buying this

10:16

and the sales are great. And we're like,

10:18

we're going to end this this fundraising

10:20

round and get a new valuation and and

10:22

raise at a higher valuation maybe in the

10:24

future. But anyway, you can check that

10:25

out. But the point is debt kills

10:28

companies in a recession. Debt kills

10:30

growth. And it's not that people are

10:33

really worried that Broadcom has a lot

10:35

of debt because again in two years of

10:37

cash flow they can pay off their debt.

10:39

It's the fact that the entire industry

10:41

is backed by debt right now. In fact, I

10:44

want you to see this. There is literally

10:47

an information piece from the

10:49

information that reports that private

10:51

credit bankers are working overtime

10:54

right now to get debt allocations.

10:59

The information says bankers are working

11:00

overtime to find money for data centers.

11:03

Construction of data centers used to be

11:05

done primarily by big banks. However,

11:07

now the construction of data centers is

11:10

actually being supported by what's

11:11

called 42A private debt investments.

11:16

That's a problem. Blackstone is doing

11:18

this through their QTS fund. They just

11:20

raised $ 1.75 billion in November.

11:22

They're raising another 1.65 in August.

11:25

And Morgan Stanley predicted in July,

11:28

now this is a big deal, too. Morgan

11:30

Stanley predicted in July that private

11:32

credit would be responsible for $800

11:35

billion

11:37

of the $2.9 trillion in data center

11:40

investments. I want you to put this to

11:42

perspective for a moment.

11:46

27 out of every dollar that backs data

11:50

center debt is coming from private

11:52

credit. Do you see how this like links

11:55

together all of a sudden? So all of a

11:57

sudden you have this real risk that if

12:02

we have a black swan in private credit,

12:05

which you're literally seeing happening

12:07

at First Brands, well maybe maybe it's

12:09

unique, you know, maybe maybe First

12:11

Brands is just a fraud, but you

12:13

literally have this collapse of private

12:16

credit happening in a way that we just

12:19

don't see happening at First Brands. And

12:22

at the same time you see this private

12:24

credit collapse, you literally have

12:26

Morgan Stanley telling you that 27 cents

12:30

out of every dollar that funds data

12:32

centers is coming from private credit.

12:37

So like I'm trying to make it as simple

12:39

as possible because these institutions

12:42

like nobody's going to tell you this

12:43

stuff in a simple way and that's why I

12:45

think I exist to try to give people

12:47

perspective in a simple way and of

12:50

course shill my own stuff cuz that's my

12:52

job. Okay? I love house hack. I love my

12:54

startup. I love the stuff we sell.

12:57

Can you fault me? I feel like that's

12:59

entrepreneurship. But look at this.

13:01

Goldman Sachs writes this like really

13:04

nasty piece right here about how like

13:06

the sensitivity of global yields to

13:08

public debt has already started to

13:10

inflect higher. You don't even bother

13:12

reading this bulk. Like I I have trouble

13:15

understanding what they write here

13:16

because they speak in this jargon that's

13:19

just like can you please speak in

13:21

American. So I translated this to

13:24

freedom units and I wrote that in

13:27

English in freedom as government debt

13:30

goes up yields go up because investors

13:32

think they're getting diluted by the

13:34

government. They are by money printing.

13:36

This is true. This is a fact. The Fed is

13:38

printing $60 billion per month. Okay,

13:42

they're back to printing. And now look

13:45

at this. which increases the premiums

13:47

sought or demanded on bonds due to

13:50

inflation risks rising as well. That's

13:52

the third problem today. Schmidt,

13:55

Goulby, Hammock, all of them are are

13:57

complaining like little weeny babies

14:00

about inflation.

14:02

So that's the third problem today. More

14:04

on that in a bit. That makes debt harder

14:06

to get or less desirable because you

14:09

have to demand a higher premium which

14:10

increases the sensitivity of markets to

14:12

higher yields which means data centers

14:14

want more debt and then investors get

14:17

nervous because when you go over here

14:20

to Deutsche Bank, Deutsche Bank has this

14:23

giant piece on would the real AI bubble

14:25

please stand up and they actually make

14:28

it clear that a risk to uh this whole

14:32

data center boom isn't necessarily

14:35

Clearly this, you know, circular nature

14:37

of all this crap, you know, that's a

14:38

factor as well. But it's right here,

14:41

debt. Investment costs could spiral,

14:44

forcing companies into debt more so than

14:48

really ever before.

14:50

So this makes sense like this is all

14:52

logical and it also comes at the same

14:55

time that we are stepping up against

14:57

what what is really this you know this

15:00

is a log chart right here of the

15:01

progress that generative AI is making

15:04

and they call it a red flag and I

15:06

actually think that this is very

15:08

accurate. I think that GPT releases were

15:11

really a step change towards

15:12

encyclopedic AI not generative AI. I I

15:15

think that AI is really good at telling

15:18

you

15:20

uh data based on historic data. Like

15:22

yesterday I was looking at this historic

15:24

data on our investments like people

15:27

investing into house hack and it was

15:30

really interesting because we're getting

15:32

quote unquote more whale investors. Let

15:34

me see if I could find this. you could

15:36

and I asked Gemini and GPT to uh I like

15:41

take our data uh on investor amounts not

15:44

people's private information just like

15:45

the day they invested and uh and then

15:49

align it with um how should I put it uh

15:53

uh the day they invested oh and then the

15:56

size of their investment right and so

15:58

what they decided is they made a cut off

16:00

at $50,000 invest I'm trying to find the

16:02

darn thing oh there I found it uh They

16:06

separated uh they said anybody investing

16:08

more than 50k is a whale and anybody

16:11

investing more than uh or less than 50k

16:14

is is considered retail. And what they

16:18

said is at the beginning when we

16:20

launched our reggga

16:22

ah this is so blurry. Why is this so

16:24

chart so blurry? At the beginning when

16:26

we launched our reggga we had uh the

16:29

blue is more retail under 50k investors.

16:33

we were almost exclusively retail right

16:35

here. And what they're saying over here

16:38

is that we've had these like larger

16:41

checks come in relative to retail. And

16:45

uh you know the conclusions the AIs were

16:48

making on this sort of historic data

16:50

were like oh you know people with bigger

16:52

checks are like oh crap like you guys

16:54

are like on to something with this AI

16:56

and so you're getting substantially more

16:57

big checks. But they also said there

17:00

could also be a sign in there that you

17:02

know the smaller check folks are

17:04

struggling more in this economy and so

17:07

you're seeing a higher percentage of

17:09

richer people relative to the smaller

17:11

check. I don't I don't know. I thought

17:12

it was interesting. Who knows, right?

17:14

But when you align it with uh with what

17:18

I'm trying to say here with this sort of

17:20

hitting the wall, I personally think

17:22

that AI and this is where I was going

17:24

with this. era is really good at

17:25

analyzing patterns of the past but not

17:28

so good at generating future decisions.

17:31

This is why I don't think we have uh

17:34

such strong gen AI that that is prone to

17:37

hallucination and that's why I think on

17:39

forwardlooking stuff like artificial

17:41

general intelligence I think we're very

17:43

far away on that. The problem with that

17:45

is if it's true that we're going to hit

17:47

sort of this wall. I mean, if you look

17:49

at the data right here, if you look at

17:51

this step change up of what the GPT30

17:54

moment and 35 moment was on a

17:56

logarithmic scale, you know, we're not

17:59

making that much progress. That's a red

18:01

flag that Deutsche Bank is arguing. You

18:03

know, without getting too granular here,

18:05

right? And so that's the problem when 27

18:09

cents out of every dollar that's going

18:11

into data center expansion is driven by

18:13

private credit that's now hitting a

18:15

black swan at first brands. That's

18:17

really bad. The Fed is trying to bail

18:20

out private credit. At the same time as

18:23

you've got institutions going, "Yeah, AI

18:24

is great. We could do a lot of things

18:26

with this. Like we could do a lot to be

18:29

practical today with machine learning."

18:32

You know, like I think our real estate

18:34

AI is like it's pattern recognition.

18:36

It's it's machine learning that we

18:38

trained and we tuned to create real

18:40

productivity today. That's great. But if

18:42

people are investing as if we need data

18:44

centers for artificial general

18:45

intelligence, we're in a bubble, right?

18:48

Because I don't think we're getting to

18:49

artificial general intelligence. And if

18:50

it's supported by debt that is now

18:53

getting questioned, then that's a

18:56

problem. See here, Goldman says, "We're

18:58

also keeping NI a progress on or we're

19:01

keeping our eyes on AI progress and

19:02

doubts. AI related hardware shipments to

19:05

the US continue to increase. At the same

19:06

time, AI bubble concerns continue to

19:09

linger following Oracle's disappointing

19:11

uh earnings with investors now parsing

19:14

Broadcom's results. While we still

19:15

believe that we were are not yet in AI

19:18

bubble territory, we see the value in

19:21

regional and style diversification. I

19:23

think it's really smart to argue for

19:26

diversification right now. Like I I'm

19:29

not trying to say this to be like, "Oh,

19:31

please go diversify to house hack."

19:33

Like, that's not my point. My point is,

19:36

please, please, please, please, please.

19:38

Like, I'm I and I say it almost every

19:40

video. I'm mid-range. I'm like 5.6 or

19:43

5'8 or whatever on the Bear Bull scale.

19:45

The reason I'm not like go yolo margin.

19:47

Somebody in my live stream this morning,

19:49

they're like, Kevin, you know, there's a

19:51

dip. should I go yolo up on margin? And

19:53

like I was so disappointed that they

19:55

said that I sent out this tweet. I'm

19:57

like, let's put this into perspective.

19:59

You know, somebody's asking me to go

20:00

into margin here. Like when you zoom out

20:02

on the cues, like what the hell? No, no,

20:06

please, please, please, please, please,

20:07

please don't go into debt. Look at

20:08

what's going on with the 10 two. We are

20:10

we are like we just skyrocketed on the

20:12

10 two. Why are we skyrocketing on the

20:14

102? We're skyrocketing on the 10 two

20:17

because the two-year yield is staying

20:19

stable and the 10-year is going up. So,

20:21

we're bear steepening. What does that

20:23

mean? It means markets are saying, "Oh

20:25

crap." To save private credit, the Fed's

20:28

going to have to run the money printer

20:29

more, which means we have a greater risk

20:31

of more inflation, which means 10-year

20:33

yield premiums demanded up because you

20:37

have to compensate for potentially

20:38

higher inflation in the future because

20:39

the money printing they're doing now to

20:41

prop up the AI bubble because the Fed

20:43

realizes the only thing keeping this

20:45

economy alive right now is the AI

20:47

bubble. And if the AI bubble goes

20:49

because private credit support for this

20:52

market is going away, then you got

20:53

problems. So obviously today when Oracle

20:56

is like uh we're delaying data centers,

21:00

that was a rumor apparently. Oracle says

21:02

fake news, right? Oracle's like hey

21:05

we're delaying our open AI data center

21:07

from 2027 to 2028. Oracle tanked. You

21:10

know then it comes out that oh it's

21:12

actually just fake news. Is it though?

21:15

Is it fake news? I've I mean like don't

21:17

get me wrong, I love my Teslas, but I've

21:20

seen Elon Musk say, "Oh, that's fake

21:22

news to reporting plenty of times." Only

21:25

for it to be exactly what was actually

21:27

going on. And like I look at OpenAI and

21:32

call me jaded, but this is what I wrote.

21:34

Okay, the Oracle, this report says

21:38

Oracle has pushed back the completion

21:39

date for some models of data centers

21:41

it's developing for the artificial

21:43

intelligence model developer uh OpenAI

21:47

to 2028 from 2027. I wrote in response

21:51

to this, the delays are largely due to

21:54

labor and material shortages. By the

21:56

way, all of this is in the Meet Kevin

21:57

app by the way. Uh so like if you

21:59

download the Meet Kevin app, which is

22:00

totally free, you download the Meet

22:02

Kevin app, you could see this

22:04

you know, right here. So, you can kind

22:06

of see that data and you can kind of

22:07

like see where I get the stuff from and

22:10

my citations, my sources or whatever.

22:12

But anyway, so what did I write to this?

22:14

I go, what if this is a lie? The delays

22:16

are largely due to labor and material

22:18

shortages. What if that's a lie? What if

22:21

Oracle is delaying OpenAI data centers

22:23

because OpenAI's code red is real

22:27

despite what Altman says? And

22:30

ultimately, OpenAI is signaling that

22:31

their growth slowdown is coming. Like I

22:34

canceled my GPT subscription and I went

22:36

to Gemini a few months ago. Now what are

22:38

they doing? GPT is offering me 100% off.

22:42

You've got 100% off plus for a month. So

22:46

they're giving me 100% off to try to get

22:49

me to come back. And I'm like I don't I

22:50

don't know. You know this incredible.

22:55

That's incredible.

22:56

So uh then you know I saw these comments

23:00

from David Sachs. Now, sorry guys and

23:03

girls. Uh, I I am not going to read this

23:05

out loud, but this is what I call him.

23:07

David Saxs of I'm not going to read it

23:09

out loud. Somebody left me a comment

23:11

yesterday said, "Kevin, I try to watch

23:12

your videos with my family. You said a

23:14

bad word. I don't know if I could keep

23:15

watching." I'm like, "Okay, I won't say

23:17

poopy dupy words." So, so anyway, um,

23:21

David Saxs says, "More jobs are being

23:24

created than lost by AI." I think he's

23:27

smoking dope. Like I think he's smoking,

23:30

you know, some like deregulated cannabis

23:32

here. Like I don't know. He's on

23:34

something. I think he's he's delusional

23:36

to say that. Uh and then see China not

23:39

accepting H200s as they're an old

23:41

generation. I don't know if that's true.

23:43

I don't really have a comment here

23:44

maybe. Uh but I think this is convenient

23:47

shilling for Donald Trump and it's

23:49

likely untrue.

23:52

That's my opinion. Uh okay. So, like

23:56

when we put all of this together,

23:58

understand that Oracle CDS's just hit an

24:01

all-time high. The previous high was

24:04

12814 on 122 for Oracle. We briefly hit

24:08

the 120s during the chip recession of

24:10

2022 uh during that that Q4 time uh Q3

24:14

Q4 period. But we are now at the highest

24:17

CDS pricing, credit default swap pricing

24:20

for Oracle since 2008.

24:25

insane.

24:27

Uh, mind you, what I also think is

24:29

really cool about our machine learning

24:32

is our machine learning that we do with

24:35

our AI at house hack, you know, it's not

24:36

just some like crewappy rapper or

24:38

whatever. We don't actually rely on a

24:40

lot of server uh capacity because we can

24:43

we can analyze properties throughout the

24:45

nation once and then deliver that

24:49

analysis you know to people paying for

24:51

the service without rerunning the server

24:53

compute multiple times for each person.

24:55

So it's kind of like we have to run the

24:56

compute once and then we could feed the

24:58

answers through our SAS and just we're

25:01

like that keeps cost way down.

25:04

It's kind of clutch. Uh, sorry. I I I I

25:06

I get excited because I'm like, I see

25:09

the problems. Okay, the problems are in

25:11

debt, but that doesn't make all AI bad.

25:15

It's the problems are in private credit.

25:17

And so, this is why, you know, people

25:20

are concerned about the 102 rising and

25:22

debt because that's the only thing

25:24

propping this up right now. Uh, let's

25:26

look at some other institutional pieces

25:28

because this is bullish. Also, Goldman

25:30

Sachs actually sees an acceleration of

25:32

AI adoption supporting earnings per

25:35

share in 2026 and 27. This is bullish.

25:38

They forecast an S&P 500 growth of 12%

25:41

year-over-year in 2026.

25:44

Uh, and they think that 46% of that EPS

25:47

contribution is driven by Nvidia, Apple,

25:49

Microsoft, Google, Amazon, Broadcom, and

25:51

Meta. Now I personally am partial to um

25:57

uh the advertisers in this Meta, Google,

26:01

Netflix, you know Netflix calls their

26:04

advertising revenue insignificant. I

26:06

think that has a huge upshot and Meta

26:09

and Google are huge advertisers and I

26:11

think they all need to advertise their

26:12

products. You know I think uh there was

26:14

another piece about uh here was another

26:16

piece from Goldman about cyclical

26:18

sectors should see an acceleration next

26:20

year. They had real estate tied for

26:22

second next year for growth. That was

26:24

cool. Mostly, I think, because they see

26:26

the middle income people sort of like

26:28

actually getting back to real wage

26:29

growth next year, which I think is

26:31

supportive to rents going up. But

26:33

anyway,

26:34

uh they think that um productivity

26:38

baskets for AI come from banking,

26:40

insurance, retail, warehouse,

26:42

transportation, logistics, healthcare,

26:43

and restaurants. My favorite plays there

26:46

are things like but Palanteer's

26:48

valuation's too high. But I think rather

26:50

than picking banks or finance companies,

26:53

I like picking the companies that

26:54

support those companies. So a basket of

26:57

those would be like Palanteer,

26:59

Salesforce, UiPath. Uh those I'm excited

27:03

about. You know, one of those I think is

27:04

very cheap and is a very good

27:06

opportunity. Uh it's on our top 10

27:08

stocks to buy uh for the next 10 years

27:10

list in the alpha report. Uh remember

27:12

the alpha reports, that report I do

27:14

every morning where I'm like, "Hey, here

27:15

are the risks for the day." And uh you

27:18

get that at meet.com. And what a lot of

27:20

people are doing is they're buying the

27:21

membership uh which now includes the

27:24

Reinvest course cuz we just dropped

27:25

that. They're buying the membership with

27:27

the nine courses, the trade alerts, the

27:29

private live streams and everything.

27:30

They're buying this. Then they're using

27:31

the course member coupon to buy the

27:33

Reinvest AI. Not a solicitation. Read

27:36

the authoring circular before investing

27:37

in Reinvest. But anyway, um you know

27:41

what I thought was notably missing from

27:43

their list was the amount of

27:44

productivity potential for real estate

27:46

that you can get with AI. And I actually

27:49

think I'm ahead of a lot of the

27:50

institutions on that because I see how I

27:53

could turn AI into real productivity

27:56

uh in in in analyzing the net worth

28:00

potential boosts that you could get from

28:01

renovating real estate or acquiring real

28:03

estate and prioritizing deals and doing

28:06

that for agents as well. uh you know

28:10

automatic alerts from your agent on net

28:12

worth deals. I mean like agents would

28:14

love to pay for that and it's a tax

28:16

write off for them, right? So anyway, I

28:18

actually think I'm ahead of institutions

28:19

on that, but if you disagree with me,

28:21

that's okay. Look at these other

28:22

categories. That's what Goldman is at

28:23

least saying. But I also agree with

28:25

Goldman on that. Like that is where I

28:27

think EPS growth comes from. And that's

28:29

why I said in the alpha report this

28:30

morning that I think that you're seeing

28:32

a fade away from uh the chip sector uh

28:37

from hardware. I mean, what did I

28:39

specifically write in the alpha report

28:40

this morning? I said that Cororeweave

28:41

needs to hold up 7927

28:44

otherwise that's bearish. Uh and then as

28:47

far as uh I wrote quote I expect profit

28:51

taking in the physical chip exposure to

28:55

continue and then parenthetically I

28:57

wrote ago Eric uh Ericle Oracle AMD

29:01

Nvidia

29:04

and then I also pointed out the

29:05

amplification of the private credit

29:07

stress uh which is that first brand's

29:10

problem. So like there are issues. Some

29:13

of these things though, they're going to

29:14

create buy the dips in like the

29:16

downstream profit potential uh that you

29:19

could get from artificial intelligence.

29:20

So that's why I kind of maintain like as

29:22

long as the Fed's money printing can

29:24

kind of save the private credit problem,

29:26

you could plug this debt problem at

29:29

these data center places in place and

29:31

you can actually meaningfully recover.

29:34

So, we're really relying on the Fed to

29:37

bail us out right now because this first

29:39

brand stuff is bad. Very bad. Very bad.

29:43

Black swan. And that's Look at this. The

29:45

102 spread just shot up to 67. No, not

29:48

67. No.

29:52

No.

29:55

Oh, no. It's a sign. Okay. Historically,

30:00

why why does this matter? People ask me

30:02

like, "Kevin, why does historically this

30:04

matter?"

30:06

Okay, so historically the 102 matters

30:10

for the following reason. The 102 has

30:13

never ever gone into inversion uh and

30:17

and come out without a recession. So

30:19

understand that risk, right? And and

30:21

this is why I said to course members

30:24

this morning, companies like Carvana and

30:27

SoFi are actually or or even like

30:29

companies that don't have revenue like

30:30

um Archer Aviation have a very unique

30:34

recession risk because they don't have

30:36

cash flows to sustain the business. Like

30:39

you know we went we just went Q4

30:40

profitable. This is great because like

30:42

with house this applies to all

30:44

companies. Use this as a lesson for all

30:46

companies but like we've got 9 mil in

30:48

the bank. We got, you know, what 80 70

30:51

80 million of paid off real estate with

30:53

no bank debt. Uh we've got uh cash flow

30:57

to support our operations. Like that's

31:00

what you want. But like SoFi, for

31:02

example, I love SoFi, don't get me

31:03

wrong. I'm a member of SoFi, but they

31:05

rely on selling their stock to generate

31:07

loans. A company like Archer Aviation

31:09

relies on selling their stock because

31:11

they have no revenue. They're

31:12

pre-revenue. Carvana relies on insiders

31:15

selling the stock to buy the debt that

31:19

Carvana generates when they sell cars.

31:21

So you're kind of like creating this

31:23

cyclical, you know, debt infused stock

31:26

reliant

31:28

like process there. All of that

31:30

collapses in a recession, right? So you

31:33

want to be recession resilient. So

31:35

ironically, that's actually why I mean

31:37

like Broadcom with these these margins,

31:40

dude, they are recession resilient.

31:42

They're selling at a discount. Uh so is

31:45

Oracle. Oracle's got a lot of debt

31:46

though. I get it. I get why their CDS's

31:48

are going up, but uh you know these

31:51

companies,

31:53

their stocks can tank because of these

31:55

debt fears because the cycle might not

31:58

continue. Uh and then you have to write

32:00

down growth rates and then all of a

32:02

sudden their valuations look expensive.

32:04

That's I think why Nvidia is selling for

32:06

a discount. Why is Nvidia selling for

32:08

you know a 40% discount on their peg?

32:10

they should be worth $300 today. Well,

32:12

it's because the market goes if private

32:14

credit plumbing doesn't get solved that

32:16

future growth collapses. So, going back

32:18

to the 102, the historical significance

32:20

of the 102 is that we have never had an

32:23

inversion of the 102 yield curve and

32:26

then recovered without a recession. We

32:28

came close in 1995

32:31

and we went to shock level in in 1995.

32:34

You know, we went to about 0.55 on the

32:36

102 spread, but usually once we're

32:38

over.5, we're at shock level. And then

32:40

all it takes is a straw to break the

32:42

camel's back. So why is the 102 at 67

32:45

today? Well, because you just had a

32:47

black swan in private credit, which is

32:49

the very thing supporting

32:52

these data center buildouts, which is

32:53

the very thing supporting the whole

32:55

cycle of this this chip euphoria. I mean

33:00

again look at Deutsche Bank's piece on

33:04

the cyclical investments of the AI

33:06

bubble right so they here say that you

33:09

know Deutsche Bank JP Morgan Goldman

33:11

Sachs all of them by the way agree that

33:13

the bubble is still ahead will the real

33:15

bubble please stand up okay all of them

33:17

look at they've got a robot blowing a

33:19

bubble here and they're like it's true

33:20

that you know we have a red flag that

33:22

we're at these high valuations uh and

33:24

that maybe we hit a wall in terms of how

33:27

good this AI actually is. All of it

33:29

comes down to debt. Where is the

33:30

cyclical this there? Like yes, all this

33:34

can keep going as long as private credit

33:36

gets plugged. I mean, look at this.

33:38

Let's just follow one of these. Okay,

33:41

Oracle. So, Oracle buys 800,000 Nvidia

33:45

GPUs

33:46

and buys 50,000 MI450 GPUs from um from

33:52

AMD. Okay. Oracle then purchases

33:57

uh 300 billion worth of compute. Oh,

34:00

sorry. Open AAI purchases compute from

34:02

OpenAI. Oh my gosh. OpenAI purchases

34:05

compute from Oracle. But OpenAI gets

34:08

investments from Nvidia and AMD. And

34:12

then OpenAI spends money

34:15

on compute from Oracle who's buying

34:17

these chips. Like the basic premise is

34:20

that it's all a big cycle. It's all a

34:22

big circle, right? And the better Open

34:24

AI does, the more uh uh the valuation of

34:28

OpenAI rises, which props up the stakes

34:31

that companies have taken in OpenAI for

34:33

Nvidia or whatever. That's why when you

34:35

hear Oracle saying, "Hey, you know,

34:38

there's a rumor that maybe our data

34:39

center expansion will slow at the same

34:42

time as people are freaking out about

34:43

private credit." Wait, is it because

34:48

of labor and material shortages, or is

34:51

this actually just a lie? and OpenAI's

34:54

code rev is true and their user growth

34:57

is stalling. So they're like, "Hey,

34:59

maybe we don't need that 2027 data

35:01

center. Maybe kick the can down the road

35:02

a little bit on that." And then because

35:04

of OpenAI's request, Oracle delays the

35:07

data center. And then that gets leaked

35:09

as OpenAI is delaying the data center

35:11

because of labor and material issues

35:12

because they would never want to say

35:14

that OpenAI delayed it because the whole

35:15

Sam Alman Ponzi will collapse.

35:18

So yeah, we're at like a a precipice of

35:22

of a pile of poopy dupy.

35:26

That's why there's so much nervousness

35:28

in the markets right now. And the Fed is

35:30

literally printing money to try to stop

35:33

this and prop this up. Now,

35:35

unfortunately, we just rejected 617 on

35:37

the cues. Not great.

35:40

Not great.

35:42

Somebody's Freudian slip. They're all

35:45

the same company at this point.

35:48

That's a good one. I mean, hey, you

35:50

know, like I don't blame you saying

35:52

that. Like, it does almost feel that

35:54

way, doesn't it? It's it's kind of wild.

35:58

It's absolutely wild right now. David

36:00

writes, "Excited to be invested in

36:02

house." Well, thank you for saying that.

36:03

Uh, private equity, private investments,

36:06

and credit are intertwined through

36:08

co-investments. Private equity vehicles

36:11

generally have a 5 to sevenyear runway

36:12

for funds, which means real pain could

36:14

be unrealized for years. Yeah. But but

36:16

it's not just the potential for, you

36:20

know, the bankruptcies down the road.

36:24

The the real problem is that you got to

36:27

keep getting new debt. It's not the old

36:31

debt that's the problem. It's we need

36:33

all the new debt to come in. That's the

36:36

problem, right? So, uh

36:42

I don't know. That's why that's why when

36:44

people are like, "Kevin, is now the time

36:45

to yolo on margin?" I go, "No,

36:49

don't do that." You know, I'd much

36:51

rather turn garbage to gold and uh, you

36:55

know, in take a little Ben Mal infusion

36:57

there. You know, here's a property we

36:58

just bought at a massive discount, for

37:00

example, and we will turn this massive

37:04

turd into something beautiful just like

37:08

we just did. Like we just scanned this

37:11

property two days ago, two or three days

37:13

ago. Uh and we just removed this

37:15

kitchen. I'm about to go film it and

37:17

I'll show you a video of it later. But

37:19

we're going to And then we just leased

37:21

this property out which we just

37:23

transformed. Uh you can see new kitchen,

37:27

beautiful cabinets, lazy susans,

37:28

beautiful backyard, blahy blahy blahy.

37:31

Look at our little candalabbras. How

37:33

nice. Uh but that's what we do, you

37:37

know. and then AI on top of it

37:38

obviously. So anyway, you want to learn

37:40

more about that, go to reinvest.co. Uh

37:42

we are ending the fund raise at the end

37:44

of the month. The board decided that I

37:46

called him up. We have a board meeting

37:48

next week, but I actually I thought it

37:49

was prudent to call them up and go, "We

37:51

need to decide on this now." And so I

37:53

put all the uh you know, I put I I pled

37:56

my case to our board members and they're

37:57

like, "Kevin, you should end it. End it

38:01

December 31st." So that's what we're

38:02

doing.

38:04

All right, folks. Appreciate y'all being

38:06

here. Seriously, good luck out there. I

38:08

love y'all. And uh no matter what

38:10

happens, always remember that your boy

38:14

Meet Kevin's here with you. And we'll

38:16

make money together and we'll lose money

38:18

together. But I'll be reporting on

38:21

everything together with you. We'll see

38:22

you.

38:25

I'll call them.

38:27

>> I think that Kevin's a a brilliant guy

38:29

and I think that we'd we'd we' we'd all

38:30

be very lucky.

38:31

>> He's very talented, but I don't know

38:33

it's going to be him, but he's a very

38:34

talented guy. Kevin is much more

38:36

interested than most people, by the way,

38:39

in the balance.

38:40

>> Why not advertise these things that you

38:41

told us here? I feel like nobody else

38:43

knows about this. We'll we'll try a

38:44

little advertising and see how it goes.

38:46

>> Congratulations, man. You have done so

38:47

much. People love you. People look up to

38:49

you. Kevin Praath there, financial

38:51

analyst and YouTuber. Meet Kevin. Always

38:53

great to get your take.

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