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0:00

And you're not worried about a recession

0:01

in 2026 for the US? You made that clear.

0:04

>> I think it could happen in 2026.

0:05

>> The Bank of England said share price

0:07

valuations on US stock markets were

0:09

similar to those seen near the peak of

0:11

the dot bubble and the risk of a sharp

0:15

market correction has increased. 12

0:17

different CLOs or collateralized loan

0:20

obligations. Well, the Bank of England

0:22

just issued a massive warning on the

0:25

United States's equity markets because

0:28

they think what's brewing is so bad that

0:32

they think if poop hits the fan in the

0:33

United States that the United Kingdom is

0:36

going to have major issues. We're going

0:38

to talk about that. Keep in mind that

0:41

people are also now drawing lines on the

0:43

S&P 500, comparing it back to the Great

0:47

Depression days, the eras of the early

0:52

1930s,

0:53

suggesting that if the United States

0:56

were to undergo a Great Depression style

0:58

shock, it would just take the S&P 500

1:01

down, well, at least on the spy, down to

1:05

about uh 140 or 100, you know, high

1:08

130s. which would be about an 80%

1:11

decline. Now, why are people saying

1:13

that? Because obviously so much money is

1:16

circulating around artificial

1:17

intelligence. And it seems like the

1:20

tangled web of artificial intelligence

1:22

spending has no shortage of ending. I

1:25

mean, look at this chart here from the

1:26

doomers. It is so uh confusing. You can

1:31

see Nvidia really at the core of

1:32

everything here. But you see money going

1:34

to Nvidia, going from Nvidia, going to

1:36

Intel, going to Corewave, going from

1:38

Coreeave to it. It's all this

1:41

interconnected tangled web of

1:43

investment. This comes on top of Musk uh

1:47

now raising $20 billion, $7.5 billion in

1:51

equity, two of that from Nvidia, and

1:53

$12.5 billion in debt to go buy a lot

1:56

more chips for Colossus 3. So, at the

1:59

moment, it's like, man, all this capback

2:01

spend, how could there be anything

2:03

possibly bad in the underlying data?

2:06

We're going to look at some of these

2:07

things and how some of this could start

2:09

breaking down, but understand the money

2:11

that's being spent right now. First of

2:13

all, Colossus one from Elon Musk and

2:16

Bluff City XAI data center, 200,000

2:19

Nvidia chips, mostly H100s. Colossus 2,

2:23

even bigger now in construction. Memphis

2:26

City,

2:27

tens of billions of dollars in costs,

2:30

$300,000 Nvidia chips. So, it's no

2:32

surprise that you've got Jensen Hong

2:34

going, "Oh, Elon, I want everything to

2:37

do with you, Elon. I love you, Elon.

2:40

Elon was the smartest in the world." Of

2:44

course, Jensson's going to do that

2:46

because Elon's about to buy 300,000

2:50

chips from him. It makes sense. And at

2:53

the same time, last week, we literally

2:56

hit the highest inflows to Bitcoin ever.

3:00

Just a few days ago, we went through the

3:02

Bank of America flow show where they

3:04

indicated that we hit the the second

3:06

highest stock market inflow in a week

3:09

ever. And Bank of America clients have

3:12

the highest allocation to stocks ever.

3:15

At the same time as that, we also have a

3:18

report now that retail in the last

3:21

month, take a look at this, have bought

3:24

over $100 billion of US equities, the

3:28

largest one month buy on record ever.

3:34

And so Morgan Stanley is like, look, the

3:38

reason for this is retail keeps making

3:40

money. You're working your job, you get

3:43

income. What do you do with that income?

3:45

Especially as you're trying to grow your

3:46

portfolio, you go throw it into stocks.

3:49

And so until there's a jobs recession,

3:53

there's something like we're basically

3:55

not likely to see a slowdown in equity

3:57

purchases. See, Morgan Stanley says when

4:00

income slows, that's when we see a

4:02

slowdown in equity purchases. But

4:04

otherwise, we're potentially seeing this

4:07

massive boom right now because the Fed

4:09

is telegraphing cuts now obviously

4:11

because of a very weak labor market and

4:13

an explosion of AI deals and news flow.

4:16

Question is, are those AI deals actually

4:18

going to turn into any kind of money?

4:21

And will that all happen before we end

4:24

up getting real job numbers? Because if

4:26

we look at private surveys of job

4:28

numbers, the Wall Street Journal has a

4:30

great piece where they talk about the

4:31

unofficial job numbers are in and it's

4:33

rough out there. Basically, they refer

4:35

to analysis by Bank of America, Goldman

4:37

Sachs, and Carile that suggests we're

4:39

probably at no employment right now. We

4:43

might be close to very, very close to

4:45

zero or maybe even negative employment.

4:48

Now, of course, that would be bad

4:51

because, hey, if we're not growing our

4:53

labor force, that would suggest fewer

4:55

inflows into stocks because, you know,

4:58

potentially there are fewer buyers here.

5:00

But then on the flip side, we've got $35

5:01

trillion of US equities owned by foreign

5:05

investors. So, does it really matter? I

5:08

mean, the economist thinks so. The

5:10

economist argues that for every one

5:12

percentage point rise in the share of

5:14

migrants working in our population, our

5:17

GDP per person rises 2% in rich

5:19

countries. So in other words, the more

5:22

migrants, especially highly skilled

5:24

migrants you have working in a country,

5:26

the more your productivity and the more

5:28

your economic output goes up, which

5:30

reduces that burden of the n national

5:33

debt. You know, Ken Griffin was on

5:35

Bloomberg freaking out about how bad the

5:38

national debt is. Ray Dallio tells us

5:40

every day how we're going into, you

5:43

know, the the ninth inning of the debt

5:45

cycle and this is so unsustainable.

5:48

Yeah. But so far so good because

5:52

everybody keeps throwing money into the

5:53

stock market because so far jobs are

5:55

holding up. Even Jamie Diamond says

5:58

things so far so good. And so this is

6:01

where we start wondering are there any

6:04

potential risk factors that are starting

6:07

to brew under the curtain so to speak or

6:10

under the cover so to speak under the

6:12

the hood of the engine. And to some

6:15

extent the answer to that is yeah. Take

6:18

a look at what Jeffrey said and or what

6:20

what they just revealed about a massive

6:23

loss. Billions of dollars of loss

6:24

specifically 715 for them but billions

6:27

once you incorporate all of the other

6:29

investors and how this loss might

6:32

actually be ubiquitous of some of the

6:34

underlying risk in our economy. Consider

6:37

margin debt levels right now are at the

6:39

highest levels we have ever seen. That's

6:43

not even counting the advent of

6:45

leveraged ETFs. Leveraged ETFs use

6:48

option contracts and so they don't show

6:49

up in margin statistics and therefore

6:51

all the money that's in leveraged ETFs

6:53

isn't actually accounted for in margin

6:56

debts at all-time highs, which is

6:58

somewhat scary. Now, does that mean it's

7:01

time to bail and time to sell Nvidia

7:03

stock? Uh, probably not yet. But the

7:07

early chapters of this bubble popping

7:10

and the book that's going to be written

7:12

on this

7:14

are being written right now. We're going

7:16

to talk about some of those red flags,

7:18

especially with this Jeffre deal and

7:20

what we're seeing with the artificial

7:22

intelligence space. I want to quickly

7:23

mention though, take a look at this on

7:25

screen here. These were the calls of the

7:28

last two days. So, you know, yesterday

7:32

uh and today, these were the calls we

7:34

made in the alpha report. People love

7:35

these calls so much they started sending

7:37

donations in the chat this morning in

7:39

the live stream going thank you for this

7:41

call and you know other people saying

7:42

this but look at this yesterday I made a

7:45

call that we would have a down day on

7:46

Tesla buy the rumor sell the news Tesla

7:48

was down 4 and a.5% yesterday straight

7:51

down from the open I also made a call

7:53

super micro Symbotic and Figure would go

7:55

up yesterday and all of them rallied

7:58

figure at one point up 10% and then of

8:01

course we got our oracle news which did

8:02

slow down that trade a bit but was Great

8:04

call nonetheless for traders who got in.

8:07

And of course, we always ad advocate

8:09

trailing stops today when the market was

8:13

at in the high 604s. I said, "Hey, I

8:15

think the Q's are going to 607 to 609

8:18

today." And what and that figure would

8:20

go up. Take a look at this. The Q's this

8:23

morning all day long straight up to 609.

8:26

Uh and figure right now is up 9%. Also

8:30

straight up. So where is this coming

8:32

from? Well, it's the me Kevin Alpha

8:34

Report. So, if you're not part of it

8:35

yet, use the coupon code Schumer Siesta.

8:38

I don't have my Where's my Siesta hat

8:39

at? Use the coupon code Schumer Siesta.

8:42

We got to work to get some music in

8:43

here. Uh, and join us in the Meet Kevin

8:46

alpha report every single day. Uh, where

8:48

I set up trades for the day. Can't

8:49

guarantee that they're always right.

8:51

They're definitely not always right, but

8:52

we do, I think, a really great job and

8:54

people are really satisfied with the

8:55

product and the service, so we keep

8:56

adding more value to it. You did our

8:58

fundamental analysis, all eight courses.

8:59

Could be a tax writeoff for you. Uh, and

9:02

uh, we've got more lectures coming out.

9:03

I'm hoping to post them this weekend,

9:04

which I'm really excited about. So, join

9:06

us over there. You'll also unlock our

9:08

stock tab in the Me Kevin app, which is

9:10

really cool for course members. So,

9:12

anyway, uh, let's understand what's

9:15

going on with this Jeffre deal. So, when

9:16

you read this Jeffre article, it's a

9:18

little complicated to understand what's

9:20

going on, but it tells you some of the

9:22

insane risk that's going on in markets

9:25

today. And it makes you wonder how much

9:28

of that risk is actually showing up in

9:31

these AI deals as well. Now, this is

9:35

considered the largest

9:38

what is this? US Banks Credit Union is

9:40

one of the largest known creditors to

9:42

bankrupt auto uh parts company. Fine.

9:44

So, it has to do with auto parts. And we

9:47

think, well, what does this have to do

9:48

with AI? What this has to do with AI is

9:51

banks willingness to do stupid funding

9:55

in this economy. This really doesn't

9:57

have anything to do with auto parts. In

10:00

my opinion, this is a symptom of the

10:03

stupid things these companies were

10:04

willing to do. Look at this. The fund

10:07

that Jeff put together carried a

10:10

leverage ratio of more than 160%

10:14

having borrowed against assets to boost

10:16

returns for investors. And then they

10:19

told investors that 20% of the portfolio

10:22

was in hedges such as credit insurance.

10:26

In this case, 12 different CLOs or

10:29

collateralized loan obligations.

10:32

I feel like we're literally just playing

10:33

the 2007 financial crisis on repeat with

10:37

stupid bank financing, except instead of

10:40

it showing up in the housing market,

10:41

it's showing up in private credit. and

10:44

possibly, we don't know, but I wouldn't

10:46

be surprised if some of these similar

10:48

credit deals are showing up in this AI

10:51

tangled web. Now, let me explain how

10:54

this insanity works because it's scary.

10:56

Take a look at this. So, we're going to

10:59

look at First Brands. So, let's say

11:03

Spurs Brands has a pile of stuff,

11:06

mufflers, $100 worth of mufflers. So,

11:09

they ship that right away to Walmart. In

11:12

this case, Walmart only has about 9%

11:14

exposure to firstband products. So even

11:16

though Walmart seems good for it, over

11:19

80% of their products aren't going to

11:21

big name brands. And when they stop

11:23

paying, it's a problem. Anyway, let me

11:25

explain this. First Brand ships $100

11:27

worth of mufflers to, let's say,

11:28

Walmart. Walmart doesn't pay right away.

11:31

Walmart instead records a $100 account

11:34

payable. Hey, we'll get back to you in

11:36

like 90 days or whatever. So they issue

11:38

an IOU. Then first brands get what's

11:42

called an account receivable on their

11:44

balance sheet. Well, an account

11:46

receivable is considered an asset.

11:50

And with this asset, First Brand now

11:53

goes to a bank and says, "Hey, can we

11:56

borrow money using

11:59

this bill, this invoice that eventually

12:02

we hope to get paid on? Can we use this

12:06

asset over here, this account receivable

12:07

as collateral? and can we borrow against

12:10

it? The banks being bankers who, you

12:14

know, want to make loans say, "Sure,

12:16

yeah, we don't care if you want leverage

12:18

on your flaming pile of crap and trash

12:21

auto parts. No problem. We'll lend you

12:25

uh $160

12:28

versus, you know, on on maybe your $100

12:30

of debt or however they end up doing the

12:31

leverage, right? We saw the $1.60 versus

12:34

of debt for every dollar of of actual

12:37

assets. So, we're way overleveraged

12:38

here, right? But whatever. So, the bank

12:41

ends up having a loan. The bank gets a

12:44

promise from First Brands that First

12:45

Brands is going to repay. The bank is

12:48

like, "Cool. We now have a flaming pile

12:51

of doodoo. What are we going to do with

12:53

this giant flaming pile of dudu? Well,

12:56

we have an asset and First Brand pays us

13:00

a yield and because we added leverage to

13:03

it, the yield's going to look even

13:04

higher. So why don't we put it into some

13:08

kind of box and when we put it into a

13:11

box we'll call it you know Kenota

13:15

Capital Fund or whatever some kind of

13:18

like it ba basically I feel like if

13:20

capital is in the name it almost may as

13:22

well just say scam at this point it was

13:24

point Bonita Capital was the name of it

13:27

so Point Bonita Capital is a fund that's

13:30

going to give you access to this flaming

13:31

pile of crap and so they're going to

13:35

sell slices of this flaming pile of crap

13:38

to individual investors and the banks

13:40

are going to hold some of it, blah blah

13:42

blah blah blah. And then they're going

13:44

to hedge 20% of it, which doesn't really

13:48

matter because the vast majority of it

13:49

is unhedged, with collateralized loan

13:52

obligations, which they're going to sell

13:53

and take fees on from even more

13:56

unsuspecting investors because they all

13:59

hear, "Oh, but you know, Walmart is the

14:03

IOU and they're going to be fine,

14:05

right?" Nah, bro. Walmart was only

14:08

representative of 9.5%

14:11

of the actual products. O'Reilly,

14:14

another 8.6%. We don't know what the

14:16

other 20% was. Could all be junky little

14:20

companies that just can't pay. And so

14:23

when people stop paying the receivables

14:25

to first brands because you have like

14:27

thericolor bankruptcy and the auto

14:30

market goes a little, you know, suffers

14:32

a little bit of a shock. All of a

14:33

sudden, what happens? How does one

14:35

bankruptcy like this reverberate?

14:37

Tricolor goes under, then First Brands

14:40

goes under, then Jeff is like, "Ah,

14:43

crap." Okay, well, we're taking a

14:45

massive loss, $715 million. Our

14:48

investors are taking billions of dollars

14:50

in loss. And on top of that, if we

14:53

actually go look at now the stock market

14:55

impact, Jeff is down 16% in the last,

14:59

you know what, 30 days, probably even

15:01

more over here. And a lot of this

15:04

because of the pain of this recent

15:08

revelation. And you can see a lot of the

15:10

banks have actually been recovering

15:11

nicely since liberation day. But all of

15:13

a sudden people are waking up going, "Oh

15:15

crap, dude. The banks are right back

15:17

into their stupid uh, you know,

15:19

financing strategies from 2008." This is

15:22

exactly what blew up the bubble uh of of

15:27

2008 was bad bank financing that's on

15:31

rocky foundations, bad fundamentals, and

15:33

it's fueled by greed. Well, I hate to

15:36

say it, but I think there's a very real

15:38

risk that the same greed that we're

15:42

seeing at companies like Jeff is in

15:44

here. We just don't see it yet.

15:47

Remember, we're not getting the material

15:49

services agreement yet until November

15:52

where Nvidia who's an investor in

15:54

Coreweee and Coree buys Nvidia chips.

15:57

Nvidia is promising to lease back $6.3

16:00

billion or $6.7 billion of Coree data

16:03

center assets, but only if Coree can't

16:07

sell it to anyone else. And Core is

16:08

like, "Yeah, we can't sell it to anyone

16:10

else. Nvidia, you're going to have to

16:11

step in and lease this stuff." Nvidia is

16:13

branding it as, "Ah, it's okay. We'll

16:15

put it to use. we don't mind leasing it.

16:17

So, you know, the Nvidia shells are

16:18

like, "Nah, Nvidia is going to put it to

16:20

use. Who cares?" But, but people who

16:23

actually look at this with logic are

16:24

like, "Wait, Poor Reef can't lease out

16:26

all their data centers. Wait, Oracle

16:30

can't make money on leasing out their

16:32

data centers. This is bad. These are

16:36

early warning signs. These two things

16:38

right here, huge early warning signs in

16:41

this AI bubble popping. This is why I

16:43

say I have a hair trigger on my Nvidia

16:45

stock. Like again today, I'm up a lot of

16:48

money on my Nvidia stock. I love it. I I

16:52

every day this is green. I get happy. I

16:55

love it. It's just free money. I feel

16:57

like I'm sitting

16:59

money in my face. It's great. But I'm

17:01

hair trigger ready to sell this sucker

17:03

because of the warning signs that aren't

17:05

just showing up in AI.

17:07

But they're showing up at banks who are

17:11

financing these deals. This is where we

17:13

have to be careful because really what's

17:15

happening is you've got what I call two

17:16

bubble boys who are blowing money like

17:19

drunk sailors. Bubble boy number one uh

17:23

is um Sam Murderer, I mean Sam Olman. Uh

17:26

and bubble boy number two is Elon Musk.

17:30

and they're in like a, you know, a

17:32

boyfriend tiff competition with each

17:34

other to see who could spend more on

17:35

this stuff. Well, at the same time,

17:37

inflows into markets are at all-time

17:38

highs. And when Jaime Diamond gets asked

17:41

about a recession in 2026, in a weird

17:44

way, this was kind of a weird little

17:45

portion of his interview. Honestly, I

17:47

should find the clip because I thought

17:48

it was a little awkward. Jaime Diamond

17:50

gets asked, "Hey, like, you know, could

17:52

we have a recession in 2026?" And he's

17:54

like nodding his head. Yeah. Yeah, we

17:56

could have a recession in 26. It almost

17:58

feels like does he know something or

18:01

does he always say that uh take a look

18:04

at the clip. I maybe maybe I'm

18:07

overreading into I probably am but I

18:09

just thought it was a little eerie

18:11

>> way and and so I I look I don't know. I

18:14

hope for the best plan for the worst and

18:16

you're not worried about a recession in

18:17

2026 for the US. You made that clear?

18:20

>> I think it could happen in 2026. I just

18:22

I'm not worried about it is a different

18:24

statement. We'll deal with it. We'll

18:26

serve our clients. will navigate through

18:27

it. A lot of us have been through them

18:28

before. You don't wish it because you

18:30

know certain people get hurt, but uh but

18:32

it could happen in 202.

18:33

>> We're still of course in the US

18:34

government shutdown. But

18:37

it's like the most the most like

18:40

positive I've seen in my like

18:43

have a recession. Yeah.

18:45

Weird. You know what what is the largest

18:47

big too big to fail bank see?

18:50

I mean maybe they're getting a little

18:51

nervous about what's going on in private

18:53

credit anyway. So So how does this all

18:55

go? Because the Bank of England, they're

18:58

warning us that markets face a sharp

19:01

contraction if mood sour on AI or Fed

19:05

freedom, Bank of England says. Okay.

19:08

Well, global financial markets could

19:10

tumble if investors mood sour on the

19:12

prospects for artificial intelligence or

19:14

the independence of the Federal Reserve.

19:16

The Bank of England warned on Wednesday.

19:18

The Bank of England said share price

19:20

valuations on US stock markets were

19:22

similar to those seen near the peak of

19:24

the dot bubble and the risk of a sharp

19:28

market correction has increased

19:31

and they are now issuing their sharpest

19:33

warning to date about the dangers of an

19:37

AI triggered market slump. Now when it

19:41

comes to Morgan Stanley and their take

19:44

on the valuations, they actually say

19:46

that you know so far US4 firms are

19:50

absorbing tariffs. So unless they

19:53

exercise greater cost control, weakening

19:55

the labor market, everything is fine.

19:57

Notice how everything is fine as long as

19:59

there's no jobs recession, right? That

20:01

will be continue to be a theme here. And

20:03

then are valuations justified? where

20:05

well if we compare back to 1999 and we

20:08

factor in EPS growth yeah we're actually

20:11

trading at a discount to the late 1990s

20:14

levels says Morgan Stanley now Morgan

20:16

Stanley it's like your resident bull in

20:18

the market right now but they rely on

20:21

EPS growth which makes sense what could

20:26

make EPS growth falter well more news

20:29

like what we're seeing out of Coree and

20:31

Oracle if those actually lead earnings

20:34

to compress, then that's when we don't

20:37

get EPS growth. That's when we get an

20:39

EPS collapse. That's when all of a

20:40

sudden it becomes harder for Nvidia to

20:42

keep selling their chips. Now, we still

20:44

I think we still have Ring. Elon's still

20:46

got to buy 300,000

20:48

Nvidia chips. Like, I want to see that

20:50

money show up. But there's a reason when

20:51

you look at the Oracle earnings numbers.

20:53

You can actually see their margins are

20:55

collapsing 240 basis points. You know,

20:58

companies like IBM, we did a great

21:00

fundamental analysis on them this

21:01

morning. They're actually playing this

21:03

AI boom really smart. You could see that

21:05

analysis in our course member live

21:07

stream this morning. Uh which remember

21:08

you get all the course member live

21:10

streams when you're an alpha report

21:11

member. But they're I think ABM's

21:13

playing this smart. Oracle, they're

21:15

eating this whole line of sinker. They

21:17

are very exposed to a collapse of EPS,

21:20

you know, if some of these circular

21:21

deals stop coming through. And it's

21:23

really fascinating because you might

21:25

wonder like, well Kevin, how does like

21:27

this like fear reconcile with the market

21:29

still going up and you even saying oh

21:31

you know the cues are on a trend to 615

21:33

and we're going to go to 607 and 609

21:35

today and then we do. How do we

21:37

reconcile this? Well, because of this

21:38

look what I wrote here right here two

21:41

days ago AMD massive deal with OpenAI

21:44

mark it up. yesterday information bad

21:48

news on Oracle margins mark it down

21:51

today Nvidia XAI deal mark it up like

21:54

that's that's how it works you know oh

21:58

good news yay bad news oh good news yay

22:02

and it's just like net up and this

22:05

continues as long as credit remains

22:08

available and we don't start seeing the

22:11

tangled web of shady banking practices

22:15

unweave themselves.

22:17

That is the biggest risk and it's the

22:19

one we have the least visibility into

22:21

because see the XI deal is mostly debt.

22:25

12.5 of the 20 billion that XAI is

22:28

raising 62.5%

22:30

debt. So what are the terms of that

22:33

debt? What happens if XAI continues to

22:37

lose money? Much like and there's no pro

22:40

profitability much like OpenAI does. At

22:42

some point the spend has to stop. I

22:45

mean, you could even look at the balance

22:48

sheets of companies like Meta and

22:50

they've spent their available cash now.

22:53

They're almost they almost need to

22:56

borrow more to keep the boom going. I

22:58

mean, actually, I think they had a good

22:59

piece on Meta in here. Was it in this

23:01

piece? I can't remember exactly where it

23:03

was, but there was a a an argument

23:05

somewhere that Mark Zuckerberg argues,

23:09

I'd rather spend hundreds of billions of

23:11

dollars on uh artificial intelligence

23:14

and waste it than risk being late to the

23:17

AI move. Uh yikes. Talk about

23:20

malinvestment. But anyway, what do you

23:22

have right here? If we get to a point a

23:24

year from now where we had an AI bubble

23:26

and it popped, this deal might be one of

23:29

the early breadcrumbs talking about, you

23:32

know, these circular arrangements over

23:34

here with open uh AI. So, kind of crazy,

23:39

especially when you have Barclay saying

23:41

FOMO is in full swing and uh we're

23:50

lacking a lot of real near-term

23:52

profitability on AI. Again, for now,

23:55

hey, keep cranking. Great. We can make

23:58

money in the markets. We can listen to

24:00

mariachi bands. But long term, there are

24:02

definitely some seeds of concern being

24:05

planted. So, that's where I'm going to

24:07

leave it for today with the mariachi

24:09

band because remember,

24:12

you can now get lifetime access,

24:14

potentially tax deductible as well,

24:16

right off for you. So, that's like

24:17

another coupon on a coupon uh using

24:19

coupon code Schumer Siesta.

24:21

[Music]

24:31

>> Why not advertise these things that you

24:32

told us here? I feel like nobody else

24:34

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

24:35

little advertising and see how it goes.

24:37

>> Congratulations, man. You have done so

24:38

much. People love you. People look up to

24:40

you.

24:40

>> Kevin Papra there, financial analyst and

24:43

YouTuber. Meet Kevin. Always great to

24:45

get your take.

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