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China is f**king us

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0:00

We're six days away, six days away from

0:02

the Federal Reserve likely cutting. And

0:04

yeah, my coffee is empty, so I'm pissed.

0:06

But let's keep it simple. Today, we've

0:08

got China eating our lunch. We got

0:11

Morgan Stanley panicking about AI data

0:13

centers. We've got the Mom Domy effect

0:16

actually having the inverse effect,

0:18

which who could have predicted that? And

0:22

we've got retail buying pretty much

0:24

every stock except for one which we'll

0:28

reveal in this. And then of course which

0:31

I still have to make a separate video on

0:33

the alpha report. Shout out to all the

0:34

course members. We smashed it on a

0:36

really good fundamental analysis three

0:39

uh 3 days ago with the stock now up over

0:41

o over probably somewhere around 24% uh

0:44

in just the last 3 days which is insane.

0:47

uh also bought a bunch of it. But

0:49

anyway, so I'm a little biased, but

0:50

anyway, let's get into the topic for

0:52

today. So, first uh I want to start with

0:54

Morgan Stanley. Morgan Stanley is

0:56

considering offloading some of its data

0:57

center exposure. Now, this has been done

1:00

already by some companies like Croup and

1:03

JP Morgan, so maybe it's not the biggest

1:05

of deals, but there are these fancy

1:09

things called risk transfer arrangements

1:12

to keep these bank capital ratios in

1:14

line. And they're basically trying to

1:16

get a lot of this junk bond lending

1:18

they're doing to these data centers off

1:20

their plates. And this is aligning at

1:23

the same time with sort of China eating

1:26

our lunch. Because in America, what

1:28

we're throwing money at right now are

1:30

big data centers. And John Thornhill

1:33

suggests we could be throwing money at

1:35

the worst possible thing. China is

1:38

throwing money at open-source models and

1:41

so is Mistral. Mistral, which isn't even

1:44

mentioned. Well, actually, I think they

1:45

are Mistral. Nope, they're not even

1:46

mentioned in this article. Mistral is

1:49

the European Union's version of Deep

1:53

Seek in China. Uh, and they're expanding

1:56

their open-source models. Uh they just

1:58

announced new flagship models called the

2:00

Mistral Large 3 and a smaller uh suite

2:04

of Minist 3 models optimized for edge

2:08

computing applications for drones and

2:10

and whatever ondevice AI. Uh and this is

2:14

in real contrast to all of the money

2:16

that's going into these massive data

2:17

center projects mostly for proprietary

2:20

LLMs at companies like OpenAI or Google.

2:24

And so people are wondering why are we

2:26

throwing so much money at basically

2:28

duplicating all of these proprietary

2:30

models? Maybe we should be throwing

2:32

money at open-source models and then we

2:34

could consolidate these data centers and

2:37

stop throwing so much money into all of

2:38

them. My long-term belief is that LLMs

2:41

are going to be no different from

2:43

dictionaries. Everybody's going to have

2:45

an LLM. They're all going to be the

2:47

same. And it's not LLMs that you want to

2:49

play when it comes to AI because those

2:52

are all going to be commoditized. I

2:54

think you want the downstream service

2:56

companies that are actually providing

2:58

real net worth booths to the companies

3:00

that are using the product. And I'm not

3:02

talking about Bill Gates's daughter's

3:04

startup apparently, you know, cuz she

3:07

started her startup in a dorm room. You

3:09

know, humble beginnings here. Humble

3:11

beginnings. Bill Gates's daughter

3:13

starting a an AI search startup to go

3:16

find you deals for crap that you want to

3:18

shop with Haley Bieber, Chris Jenner,

3:22

Cheryl Sanberg from Meta, Sarah from

3:24

Spanx, you know, very humble beginnings

3:26

here, but not talking about that kind of

3:28

AI, talking about businesses that

3:30

actually make money for their customers.

3:33

I mean, I frankly think Palanteer is a

3:35

perfect example of that, but there are a

3:36

lot of companies that do this. And so,

3:37

picking the right winners in that space,

3:39

that's where I think the biggest

3:41

opportunities are. you know whether

3:42

you're looking at you know some people

3:43

are really into Salesforce some people

3:44

are into snow some people are into path

3:47

you kind of have to evaluate where that

3:49

money is but I think that's a much

3:51

better direction than you know caring

3:54

what Sam Alman is up to because I think

3:56

Sam Alman honestly he is like kind of a

3:59

gang guy for billionaires that I tweeted

4:03

about this yesterday but I think that

4:05

billionaires are having like this gang

4:07

warfare and instead of like shooting

4:10

each other or fighting over drugs. What

4:12

they're actually doing is they're just

4:14

trying to make each other look bad. Like

4:15

Sam Alman is now trying to explore a

4:17

competitor for SpaceX. And it looks like

4:21

so far while talks ramped up as of the

4:24

fall, they kind of fizzled since then.

4:26

So it's probably not going anywhere. But

4:28

it shows the pettiness of someone like

4:30

Sam Alman. And it makes you wonder if

4:33

Sam Alman is trying to fight Elon on

4:36

SpaceX. is he so distracted that that's

4:38

why GPT is sort of falling behind Gemini

4:42

now and Sam Alman is literally the face

4:45

of this $1.4 4 trillion. We want to blow

4:47

on more data centers, which is probably

4:49

just misallocated money while China is

4:52

literally eating our lunch. I mean, look

4:54

at this. Out of 74 high impact

4:58

technology uh uh sectors, China is

5:01

leading us on 66. We lead in eight.

5:04

Okay? So, we get eight, China gets 66.

5:07

Part of that, in my opinion, is because

5:08

of sort of the Trumpian uh method right

5:11

now of let's just let all the AI tech

5:14

bros guide policy in the White House.

5:17

And so you get shills like David Sachs

5:19

who prop up their own startups in the

5:21

White House basically centrally planning

5:24

policy. And ironically, we are way

5:28

concentrating risk at data centers

5:30

that's probably going to lead to a

5:31

really nasty burst in data centers and

5:35

LLMs. That doesn't make me bearish AI.

5:37

I'm actually really bullish AI, not just

5:40

because that's also what my startup

5:41

does, but that's providing, you know,

5:43

real net worth to people. Uh, but you

5:45

know, companies like Palanteer, although

5:47

their valuation is way too high right

5:48

now. Those are the kinds of AI that I

5:50

really like. Now, this though is a red

5:53

flag. You know, Oracle CDS's, while

5:55

they've cooled to about 126 in the last

5:58

2 days, we just hit an all-time high on

6:01

Oracle CDS's. And I think part of it has

6:03

to do with what's going on with

6:05

companies like Morgan Stanley going, "We

6:08

need to bail out and we need to reduce

6:10

our exposure to these data centers."

6:12

It's exactly why I like Meta. I think

6:15

Meta is not only going to be a recipient

6:18

of LLM trying to advertise when they

6:20

compete with each other. But, you know,

6:22

Meta is brilliant for moving their data

6:25

center debt to Blue Owl. Let private

6:28

equity hold it. But all of that is a

6:30

risk factor somewhere because if Sam

6:33

Alman blows up, he's going to take a

6:35

hund $1.4 trillion dollar of capex plans

6:40

with him. It's going to take AMD down

6:42

with him. Lisa sues AMD sales

6:45

projections are in part based on their

6:48

belief that they are going to pump chips

6:50

to OpenAI in Q3 of next year after the

6:54

Nvidia check comes in. Yeah, I said that

6:57

right. The Nvidia check is supposed to

6:59

clear Q2

7:01

of 2026 at OpenAI. Then Open AAI wants

7:06

to buy AMD chips starting in Q3. So if

7:11

Sambin goes, the whole cycle falls,

7:14

right? We we know that's a big risk

7:16

factor. And it's interesting seeing

7:18

CDS's continue to rise as of two days

7:21

ago. And now Morgan Stanley wanting to

7:23

dump out. Now, what's also fascinating

7:26

is, no, not Mindy Smiley. I have no idea

7:29

why I have this blonde up on my screen

7:31

here anymore, but that we are going to

7:33

get this 87% chance of a cut in 6 days.

7:36

We expect to get this cut. We're going

7:38

to get this cut. I actually don't think

7:40

it's going to be that hawkish anymore of

7:42

a cut. And it's one of the reasons why

7:44

I've been relatively bullish since

7:46

November 18th. I made a video on

7:48

November 18th called buy. And I talked

7:51

about how most of the bad catalysts were

7:52

behind us. In the short term, I think

7:54

we're bullish going through the Fed

7:55

meeting. And that bullishness might

7:57

actually continue through the Fed

7:58

meeting because of those ADP numbers

8:00

that were weak. Unemployment claims are

8:02

very volatile. We got seasonal

8:04

adjustments. I'm not really worried

8:05

about that. But something else that's

8:07

bullish, frankly, is you should be

8:09

looking at the Challenger report. The

8:11

Challenger report, yes, is bad in the

8:14

fact that it's some of the worst numbers

8:16

we've seen for November since 2022 in

8:19

2008, but we've collapsed in job cut

8:22

numbers from the October really bad

8:24

numbers. Like the October numbers were

8:26

so bad, Donald Trump doesn't even want

8:27

you to have the October job numbers.

8:30

[laughter]

8:30

I think there's a lot of truth to that,

8:32

by the way. Some of that is jade. Some

8:33

of like I'd call it probably 50% jade,

8:36

50% truth on that one. [laughter] My

8:38

opinion. But anyway, uh this challenger

8:41

report this morning on job cuts, it

8:42

wasn't that bad. Well, you know, we came

8:44

down off this crazy October peak and

8:46

we're kind of in like a normal range, a

8:49

more normalized range for job cuts here.

8:51

So, the challenger report was bullish.

8:52

ISM and PMIs were bullish. Uh the the

8:56

earnings that we got from some AI plays

8:58

yesterday were fantastic and there are

9:00

some real gems hidden over there. And JP

9:02

Morgan tells us basically retail is

9:04

buying. 75% of retail investments at JP

9:08

Morgan are going into ETFs. A lot of

9:10

people are rushing into gold, you know,

9:12

gold ETFs. Flows into Tesla and Nvidia

9:15

continue, which I think there's a risk

9:17

of those. And ironically, you're seeing

9:18

outflows at Apple, which I actually like

9:21

Apple. I I I don't have exposure to

9:24

Apple, so I'm not like talking my book

9:25

here. I actually think Meta is one of

9:28

the cheapest of the Mag 7s. But uh but

9:30

yeah, retail investors are consistent

9:33

sellers of Apple throughout the year,

9:35

whereas they're consistent buyers of

9:36

basically Tesla and uh you know,

9:39

certainly Google and Nvidia. That's at

9:40

least based on JP Morgan's retail radar,

9:43

which is very interesting. But uh are

9:46

there dislocations in this market? Yeah.

9:48

And I actually think the way to look at

9:49

this right now is you kind of have to go

9:51

deal hunting. you go look and say,

9:53

"Okay, well, where are we able to buy

9:55

things at discounted valuations?" Like,

9:58

you know, when I look at uh this this

10:01

Bill Gates daughter raising $30 billion

10:04

at 180 bill, sorry, $30 million at $180

10:08

million valuation for, you know, a a

10:11

Google Chrome extension. I want to

10:13

vomit. I'm like, this is like this is

10:15

nepotism at its finest. You know, I'd

10:18

rather talk about the irony of what's

10:20

going on in New York, which we'll touch

10:21

on really quickly. But it makes me think

10:23

I need to get a new valuation done for

10:25

House Act because I think our valuation

10:26

is gonna be a lot higher, but I think I

10:27

probably should go uh I should buy more

10:29

of our more house hack before I do that.

10:32

But anyway, not a solicitation to

10:34

invest. Read the offering disclosures at

10:36

houseack.com. But anyway, look at this.

10:38

Not an irony or not a surprise at all.

10:41

Manhattan luxury apartment market surges

10:44

after mom domin. What did I tell you

10:46

before this guy won? Before this guy

10:48

won, I made videos every single time and

10:51

I said every time a Democrat wins, they

10:55

suck at expanding supply so much that

10:58

the smart money ends up buying because

11:01

they know the Democrats are going to

11:03

constrict supply even more. And so with

11:07

little new supply in prime

11:08

neighborhoods, I mean obviously he

11:09

hasn't actually taken office yet. It's

11:11

not like he's been able to build supply,

11:13

but usually like wealthy people know

11:15

this. When Democrats win, supply gets

11:18

constrained for housing. And the best

11:21

move is actually to buy and not to sell.

11:24

So we're looking at, you know, what does

11:25

$4 million get you? Because that's what

11:27

the number was. Record a surge in $4

11:30

million purchases. Here's one Wall

11:32

Street where you could buy a two-bedroom

11:34

apartment on Wall Street, which is a

11:36

great address. One Wall Street. I mean,

11:38

this is a fantastic address. Yeah. I

11:40

mean, I actually I mean, this is pretty

11:42

modern, contemporary. I'd call this

11:43

contemporary design. This is not your

11:45

most like timeless because it's too

11:48

contemporary. It's too in right now like

11:50

all these designs in the cabinets or

11:52

whatever. But, you know, it's nice. It's

11:54

not for everyone. It's a little cold.

11:56

But, uh, you know, it's got ma

11:58

appliances. Dude, those are a pain in

12:01

the ass to repair. Uh but anyway, uh

12:04

like th this is just an example of what

12:05

you get for $4 million. The sales of

12:07

these things are surging right now after

12:08

Madam one. Not a surprise because again,

12:11

usually you don't bill build under a

12:13

Democrat, you know. Then you got Pete

12:14

Hegsaf who's in trouble tr trouble for

12:16

using Signal. This is old news. He's a

12:18

dumbass for using signal. He doesn't he

12:20

wouldn't know compliance if it bit him

12:22

on the ass. Then you've got Emanuel

12:24

Macron who according to Candace Owens is

12:26

married to a man in disguise. But

12:29

anyway, Emanuel Macccron is talking to

12:31

Xiinping basically saying Trump is

12:33

effing up Europeans's relationship with

12:36

uh China and it's all Trump's fault.

12:38

Whatever. Uh and yeah, that pretty much

12:41

covers what the hell is going on today.

12:44

So, uh you know, broadly, shout out to

12:46

everybody in the uh Oh, damn, it's up

12:48

even more right now. Shout out to

12:50

everybody in the course member liveream.

12:51

We did a really good If you're if you

12:53

haven't looked yet, look at our course

12:55

member analysis on Monday in the stock

12:57

analysis tab. We did a phenomenal

12:59

analysis, a fundamental analysis. We're

13:01

like, this is really bullish. Every

13:03

signal is pointing to bullish on this.

13:05

It just smashed on earnings. It's up

13:07

like 25% since then. And I think if this

13:10

catches the momentum wave, it's going to

13:11

it's going to skyrocket even more. I

13:14

hope it goes down so I could buy more.

13:16

That's all. That's all. I just bought

13:17

like $70,000 of the damn thing. But

13:20

anyway, that's it. That's it. That's all

13:23

I got for us today. Okay. So, cheers. I

13:26

got to go get some more coffee because

13:27

obviously I'm running low. Uh, and then

13:30

I got to go to an open house because

13:31

it's broker tour day and there's a fixer

13:33

upper on broker tour a few minutes away

13:35

and you know what happens. Sniffing. I

13:39

sniff the blood. In fact, it even came

13:41

up in our deal finder. Uh, our net worth

13:45

sniping Dealffinder brought this. Uh, I

13:50

don't want to give it away, but um,

13:54

here's just, I guess, a quick screeny of

13:56

of part of it. Um, yeah, I'll just zoom

13:59

in enough so it doesn't give it away,

14:01

but our deal finder even brought it up.

14:03

Uh, and uh, you know, this is just a a

14:07

quick little backend. Super zoomed in.

14:10

You can kind of see the funky kitchen in

14:12

there. the reinvest net worth boosting

14:15

score and uh you know soon we'll

14:18

actually be doing the net worth calcs as

14:19

well that's coming in 2026. [music]

14:21

So we got some really exciting things

14:22

going on here uh for for real AI not

14:26

some stupid dumb browser extension

14:29

that's going to go shop for clothing for

14:30

you. This shop's net worth for you

14:33

sniping net worth. [laughter]

14:37

Uh anyway, you can read about that over

14:38

at househack.com. I got [music] to go. I

14:40

need more coffee. I'll see youall on the

14:41

next one. Goodbye.

14:42

>> Why not advertise these things that you

14:44

told us here? I feel like nobody else

14:45

knows about this.

14:46

>> We'll we'll try a little advertising and

14:48

see how it goes.

14:48

>> Congratulations, man. You have done so

14:50

much. People love you. People look up to

14:51

you.

14:52

>> Kevin Praat there, financial analyst and

14:54

YouTuber. [music] Meet Kevin. Always

14:55

great to get your take.

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