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worse than feared

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0:00

there's fresh data out on the US economy

0:02

that might be even worse than what we

0:04

saw yesterday now in this video I want

0:07

to be realistic and straight up with you

0:09

I'm not trying to impute any bias or

0:11

emotion on this I just want to report

0:12

the data to you so you can make up your

0:13

own mind and at the end of the video

0:15

I'll even go through Warren Buffett's

0:17

letter which I thought was really cool

0:19

but honestly it doesn't make sense that

0:21

all of the headlines they see in the

0:23

mainstream Media or an X or whatever

0:24

have to do with people just

0:26

regurgitating pieces of Warren Buffett's

0:28

letter and complete ignorance for the

0:30

data that just came out that's actually

0:32

significantly more important now yeah

0:34

are there cool lessons in Buffett's

0:35

letter of course and we're going to

0:36

cover them but let's just get right into

0:39

this now this is a data set that uh was

0:42

released over the last uh 48 Hours uh it

0:45

was a data set that was an initial

0:47

release uh from the Bureau of Labor

0:48

Statistics on revisions uh quarterly

0:51

revisions uh the final revision won't be

0:53

out for another couple months but I want

0:55

you to see from Moody's uh in Standard

0:57

Charter what some of the takeaways are

1:00

are so far and uh I I just want to warn

1:03

you they're not good uh so look I I want

1:06

everybody to make money I want everybody

1:08

build wealth I want everybody to get

1:09

rich in the stock market I'm all for it

1:11

uh but we need to probably start paying

1:15

attention to this because it's getting

1:17

worse uh this comes after yesterday's

1:19

PMI data uh if you haven't seen that yet

1:21

just type into YouTube uh meet Kevin

1:23

this is very bad that was the the title

1:25

of yesterday's video we just go into

1:26

historical videos and see yesterday that

1:28

was that was already shock that was part

1:31

of the reason why the markets yesterday

1:32

sold down we a $2.7

1:35

trillion uh set of options expiring

1:38

yesterday the market lost $1

1:41

trillion in value yesterday poof gone

1:44

like that some people are blaming that

1:47

uh announcement about a potential

1:49

discovery of another covid virus in

1:50

China That's nonsense uh and the bit

1:53

hack I mean so far everything seems

1:54

pretty stable they're back to normal

1:57

operations so honestly their investors

1:58

help bail them out to cover what they

2:00

needed in terms of losses from that

2:01

ethereum hack but KnockOn would but

2:04

hopefully those two things are contained

2:06

you could also watch my video on that Co

2:08

virus this document is an Institutional

2:10

letter that I marked up discussing the

2:12

qcw changes now that does not sound

2:15

logical or anything understandable at

2:18

all in fact when you start reading it

2:20

sounds extremely complicated such as it

2:22

is a capital mistake to theorize before

2:24

one has the data the just relased Q3

2:27

2024 quarterly census of employment and

2:29

wages points to an increasing

2:31

overestimate of employment by non-farm

2:33

payrolls even after recent Benchmark

2:34

revisions okay none of this sounds like

2:37

English so let's just make this

2:39

extremely simple basically when the

2:42

Bureau of Labor Statistics or as some

2:45

like to say the U Bureau of uh

2:49

uh when uh they put together an

2:52

estimate on a monthly basis of

2:55

nonfarm payrolls what they're really

2:58

doing by the first Friday Friday of

3:00

every month is trying to make an

3:02

estimate for the entire 30 days before

3:05

that using a small sample of the United

3:09

States and what they do is they take

3:11

this little slice over here and they say

3:13

okay how many people over here got jobs

3:15

lost jobs how many businesses were

3:17

created how many businesses were

3:18

shuttered uh and this sample right here

3:22

they then extrapolate to the entire

3:25

month the problem is they try to do that

3:28

all with within the first you know s

3:32

days let's give them the benefit of the

3:33

doubt and say the Friday lands on the

3:35

seventh day of the month they tried to

3:36

do that all within the first seven days

3:38

best case scenario your first five

3:40

business days of the very next month

3:42

this leads to some really crazy over or

3:46

underestimating and this is why we come

3:49

back with these quarterly census

3:51

revisions and we make modifications and

3:54

we say you know what all right all right

3:55

let's just get rid of all of this right

3:58

here uh and it's instead of using any

4:00

kind of estimates of what's going on why

4:03

don't we just look at the data and see

4:04

hey U now that we have payroll data and

4:06

tax return data and stuff uh you know

4:09

payroll reports and that why don't we

4:10

fill in the actual data uh and how does

4:13

that actual data compare to what we

4:16

originally estimated well when times are

4:19

good this works totally fine because

4:23

things are much more predictable but

4:25

when there's uncertainty in markets and

4:27

when things are rapidly changing

4:30

then it's a lot harder to figure out

4:32

what's actually going on and how

4:34

representative a sample is of everything

4:37

that's going on in the United States so

4:39

let's try to explain this in English

4:41

right here uh in English when we look at

4:44

this actual document we'll see this

4:46

section right here we see that between

4:49

September 2023 and September

4:53

2024 non-farm payroll originally told us

4:56

we were generating 164,000 jobs per

5:00

month but the reality is we actually

5:03

only created 108,000 jobs so in other

5:07

words non-farm payroll is telling us

5:11

that everything is fine this is sort of

5:13

your usual average expansion level of

5:16

job gains somewhere between 160 to

5:18

180,000 per month the problem is once

5:21

you start knocking on the door of about

5:24

50 to 990,000 call it 50k in this case

5:27

this is your precursor to a recession

5:30

and what the qcw levels are telling us

5:34

is that we are only slightly closer to

5:37

fine than we are closer to recession

5:40

however we have a Federal Reserve that

5:42

is paying attention to this level now

5:45

jome Powell does pay attention to the

5:47

qcw numbers as well and this is why I

5:50

think Jerome Powell and the FED have

5:52

removed their forward guidance they

5:55

don't want to give us forward guidance

5:57

because they're actually starting to see

5:59

that things things are deteriorating on

6:00

the underlying but here's the problem

6:02

the FED runs into the FED does not want

6:05

a recession or a crash or some kind of

6:07

disaster so if the forward guidance is

6:10

going to be bad they'd rather just shut

6:12

up and tell you nothing and just say

6:15

that everything is fine right now

6:16

because I guarantee you the day Jerome

6:18

Powell comes out and says yeah things

6:21

are bad he's going straight down this is

6:23

what we saw after January of

6:26

2022 when Jerome PA said yeah it's going

6:28

to be bad and the market sold off for

6:31

nine straight months towards the end of

6:33

2022 this is challenging so when the FED

6:36

has positive forward guidance to give

6:39

wow yeah inflation's going to be

6:40

transitory inflation's going down

6:42

housing inflation is going to contribute

6:44

to inflation going down everything's

6:45

going great according to plan positive

6:47

forward guidance they'll give it to you

6:49

all day long as soon as the forward

6:50

guidance turns negative guess what you

6:52

no longer get forward guid because it

6:54

would just self- fulfill the problem so

6:58

this data is better because it actually

7:00

says that we are creating substantially

7:02

fewer jobs take a look at this just

7:04

released qcw data show much slower job

7:07

creation than the non-farm payroll have

7:09

estimated over last year through

7:10

September this doesn't even account for

7:12

October November December where we had

7:14

probably some uh Trump enthusiasm

7:17

leading to some hiring but you know

7:19

what's that going to mean when we get

7:20

revisions for that period of time

7:22

especially through January February

7:23

March and April now non far payroll may

7:25

have overestimated average

7:27

month-over-month job creation by 50%

7:29

between October 23 and October

7:32

24 markets in the FED may have perceived

7:35

the labor market to be more robust than

7:38

it is in reality okay the qcw data point

7:42

to a far sharper deterioration in

7:45

employment growth then suggested by

7:47

non-farm payroll or the move in the

7:49

unemployment rate which is measured by

7:51

the household survey part of the

7:52

non-farm payroll as

7:54

well at least it suggests the FED

7:56

decisions and asset market pricing are

7:59

based on imperfect indicators this may

8:02

be because of the basically the sampling

8:05

the birth death ratio for you know how

8:08

jobs are counted into

8:10

samples that part is more simply

8:14

explained by the little drawing that I

8:16

made there otherwise it gets too

8:18

complicated so then I thought okay well

8:20

what are other institutions saying what

8:22

is uh let's say like a Bank of America

8:24

or Goldman Sachs saying about jobs and

8:27

then of course we'll get to the Bor and

8:28

Buffett portion uh well let's take a

8:30

look at this letter because this is a

8:31

letter here from aollo and then I want

8:33

to get into the B OFA one so apulo

8:37

letter is somewhat appalling take a look

8:41

at this the consensus expects that total

8:43

doze related job cuts to be around

8:46

300,000 jobs which given that 5 million

8:49

people change their jobs every single

8:51

month that might not be that big of a

8:52

deal but Studies have shown that for

8:55

every federal employee there are two

8:58

contractors as a result it's possible

9:00

that 300,000 federal job layoffs could

9:04

actually be closer to 1 million job

9:07

layoffs any increase in layoffs will

9:10

push jobless claims higher over the

9:12

coming weeks and such a rise in the

9:13

unemployment rate is likely to be a

9:16

consequence and would then lead to

9:18

movements potentially in rates equities

9:20

and credit spreads so if our credit

9:22

spreads haven't really seen any kind of

9:24

movements but usually when you see job

9:27

uncertainty you start seeing Capital

9:29

expenditures decline now why does that

9:32

matter well because a lot of our economy

9:35

right now seems to be based on this sort

9:37

of Boom in artificial intelligence

9:39

spending and artificial intelligence

9:41

enthusiasm and that's fantastic as long

9:43

as it continues but there are already

9:46

rumors circulating that following the

9:48

Deep seek sort of poison pill if you

9:51

will uh maybe and these are just rumors

9:53

right now maybe we could be getting to

9:56

the beginning of a Slowdown in some of

9:58

the r rid capex expenditures now I'm

10:02

going to show you this it's a rumor and

10:04

then I want to show you the Bank of

10:05

America piece but I think the rumor is

10:08

worth

10:09

explaining before I do though I want to

10:12

make sure that we know something very

10:14

very clear about sort of my thesis here

10:16

and I made this very very clear day

10:19

one on day one of the deep seek

10:22

announcement I said you're not going to

10:24

see short-term cuts to capex no company

10:27

wants to be the company that's implying

10:29

that they're panicking because of some

10:31

Chinese product so expect it to take 6

10:34

to 12 months to actually see Capital

10:36

expenditures either slow for servers or

10:40

chips or get repositioned to something

10:43

else and what have we noticed over the

10:46

past few weeks well we've noticed Satya

10:49

nadela from Microsoft start planting

10:52

some seeds that hey we don't want to

10:55

oversupply artificial intelligence huh

10:58

okay this is interesting why would he

11:00

say that uh and I'll show you that clip

11:02

and then we've also seen Mark Zuckerberg

11:04

all of a sudden get really excited about

11:06

humanoid robotics sure that could be a

11:08

way of catching up to Elon Musk but it

11:09

could also be a sign of yeah we're not

11:13

we're not uh stepping back on our

11:14

Capital expenditures we're we're just

11:16

we're just spending up something else of

11:18

course interesting listen to that's the

11:22

wrong button listen to SAA nadela

11:26

yourself and see what you think

11:29

ah well you know it would be useful

11:31

Kevin if you actually set the audio

11:33

output to something everyone can hear

11:35

aiming some AGI Milestone that's just

11:37

nonsensical Benchmark hacking to me the

11:41

real Benchmark is is the world growing

11:44

right at 10% the world economy is 100

11:46

trillion or something the world grew at

11:48

10% that's like extra 10 trillion uh in

11:52

value produced every single year if that

11:54

is the case it seems like 80 billion is

11:56

a lot of money um shouldn't you be doing

11:58

like 800 billion if you if you really

12:00

think in a couple of years we could be

12:02

really growing the world economy at this

12:03

rate and the key bottleneck would be do

12:05

you have the compute necessary to deploy

12:09

these AIS to do all this work the

12:11

classic supply side is oh let me build

12:12

it and they'll come I mean that's an

12:14

argument and you know after all we've

12:16

done that we've taken enough risk uh to

12:18

go do it but at some point the supply

12:21

and demand have to map you know you can

12:23

go off rails completely when you're like

12:26

all hyping yourself with all the supply

12:28

side versus really understanding how to

12:31

translate that into real value to

12:33

customers and you're not going to say oh

12:34

they have to symmetrically meet at any

12:37

given point in time but you need to have

12:39

existence proof that you are able to

12:41

Parlay yesterday's let's call it capital

12:45

into today's uh demand so that in other

12:48

words can we actually prove a return on

12:50

our investments and maybe before we keep

12:53

blowing money we should make sure that

12:55

the money we've already spent is

12:57

actually making us money

12:59

this is weird and this interview comes

13:02

you know within four weeks of the deep

13:04

seek announcement and again I I

13:07

understand there are a lot of people who

13:09

say

13:10

but I just learned about javon's

13:13

principle or paradx and it says that

13:17

when something becomes more efficient

13:19

more people are going to use it yeah

13:22

listen I agree that more people are

13:23

going to use AI over time deep research

13:26

tools which are really just prompting

13:27

for you over and over and over again

13:29

they're great and they're going to lead

13:31

to more use that's fine I I believe that

13:34

I believe that AI agents will lead to

13:35

more usage the question is a will they

13:38

lead to more actual revenue for

13:40

companies or does this just become the

13:41

new commoditize standard uh and

13:45

B if the chips are 100x more efficient

13:48

but our output is going up by 2x then

13:51

yes we are 2 Xing how much artificial

13:54

intelligence we are using but the

13:56

infrastructure needs that we have are

13:58

actually 50 times smaller so in other

14:01

words there is a substantial risk of

14:03

oversupplying the infrastructure you

14:06

know that javon's Paradox comes from

14:08

this idea of uh uh you know oh my gosh

14:11

well if engines are more efficient then

14:12

we're going to need less coal okay well

14:16

if the people who are claiming that

14:18

javon's principle will lead to this

14:20

NeverEnding AI chip spending boom then

14:23

if you want to appli that to the the the

14:25

good old you know steam engine powered

14:27

by coal back in the day you could just

14:29

say all right we have 100,000 tons of

14:31

coal oh my gosh a more efficient steam

14:34

engine Chon's Paradox quick instead of

14:38

needing 100,000 lb of coal we need 1

14:43

billion PBS of

14:45

coal there's still a mismatch between

14:48

the supply and the demand and that's

14:51

exactly what Saadia is now planting the

14:53

seed with which is interesting because

14:55

it's coming just at the same time as

14:59

labor revisions are showing us things

15:01

that people who have been paying

15:02

attention very closely have already been

15:03

watching for many months many months now

15:06

certainly since last July uh these

15:08

problems have really started to become

15:09

more evident but also I want you to see

15:11

this you know yesterday uh Tom Lee was

15:14

on CNBC doing the usual oh people are

15:16

full of cash everybody's got all the

15:18

cash in the world oh all the dips are

15:19

going to get bought okay I mean I

15:22

haven't never heard anything else from

15:23

Tom Le but uh you know I'm still waiting

15:25

for um the all-time highs and small caps

15:28

but anyway what do we have here this is

15:30

Bank of America's flow show which

15:32

indicates that at Bank of America their

15:36

customers uh who manage their assets

15:38

with them only have about 10.9% of their

15:41

Assets in cash they're actually

15:44

63.5% exposed to stocks which is the

15:47

highest allocation since March of 2022

15:49

basically the peak following you know uh

15:53

December of 2021 but it took four months

15:55

for people to realize oh crap the

15:56

Market's actually going down

15:59

we have now seen the biggest inflow into

16:01

treasuries in 6 weeks we' have seen the

16:03

biggest outflow out of tech uh in in

16:05

what is this biggest 3-we outflow on

16:07

record ever uh

16:09

interesting we've also seen that uh

16:12

investors are still quite bullish but

16:14

there's a slump in cash as a percentage

16:17

of assets under management just 3.5% on

16:21

average this is different from the

16:23

investors over at uh Bank of America

16:25

apparently who are about 10% in cash uh

16:28

but but these numbers don't necessarily

16:30

agree with what we're seeing some other

16:32

folks say in fact something else to

16:35

consider here is what Bank of America

16:37

calls the bull disruption they think

16:39

that there is a potential risk of an

16:42

unanticipated slowdown in growth on

16:45

housing the Tailwinds of a wealth effect

16:47

job growth tailing off inflation nagging

16:51

consumer confidence US Government

16:53

heading into recession basically the DC

16:55

recession uh and and basically the

16:58

things that were supporting spending

17:00

such as a us uh the US government

17:02

exploding its discretionary spending by

17:04

65% over the last 5 years that going

17:07

away yes while it may go to less waste

17:11

also fuels less of the

17:13

economy so anyway a

17:16

Slowdown this slowdown is starting to be

17:18

flagged by outperformance of bond

17:20

sensitives and defensive stocks

17:23

interesting Now by itself government

17:26

spending only works out to somewhere

17:27

around 7% of GDP but when you consider

17:30

the multiplier effect of wasteful

17:32

government spending or just government

17:33

spending in general you tend to have

17:35

this large multiplier of like 5x and so

17:37

people regularly argue that government

17:39

spending is responsible for somewhere

17:41

around 35 to 48% of GDP because of the

17:44

downstream effects and so this is where

17:47

there's this question of if there's a

17:48

recession in Washington DC uh you know

17:51

assuming unchanged Trump taxation uh you

17:55

know of course Trump wants tax cuts then

17:57

we're probably going to be in a

17:59

situation of more uh uh government

18:02

deficit not less that's because at the

18:05

same time that yeah you're trying to cut

18:06

spending you're not going to be cutting

18:08

able to cut enough before you hit a

18:09

recessionary catalyst and then you'll be

18:11

right back to spending uh versus uh if

18:14

you're trying to cut taxes that's great

18:16

but how are you going to make that all

18:17

up in tariffs well you probably won't

18:19

and we already know that tariffs are

18:21

economically just not the best idea

18:23

they're tend to create too much dead

18:24

weight loss so this is where I actually

18:26

argue I think there's this potential

18:28

that Doge stimulus checks uh might

18:31

actually be closer than we think I know

18:33

it seems crazy right now when the

18:34

market's at all-time Highs but what it

18:37

ends up

18:38

happening is if you walk into a

18:41

recession because of some of the data

18:43

that we're starting to see I think uh

18:46

there will be uh quite a bit of

18:47

enthusiasm for government stimulus again

18:49

but that's my opinion we don't have to

18:50

focus on that so much right now uh

18:52

instead uh Bank of America is actually

18:55

recommending the 30-year Bond right now

18:57

I actually think that's very interesting

18:59

as they see a potential flatter yield

19:00

curve now in a shock we would probably

19:02

not just see a flatter yield curve we'

19:04

probably see a substantial drop in the

19:06

2-year treasury uh which would also pull

19:10

down uh the longer term end so you know

19:13

TLT becomes interesting in the event of

19:15

a shock we don't know with certainty

19:17

that we're going to have a shock uh so

19:19

put putting all these pieces of the

19:20

puzzle together things are looking a

19:22

little okay at the very least we should

19:25

pay attention to these things right uh I

19:27

mean consider this for a moment

19:29

job data likely weaker than expected

19:31

terrible pmis yesterday consumer

19:33

confidence is starting to slip optimism

19:36

that we had after uh immediately after

19:38

and immediately before actually the

19:39

Trump election has started to wne

19:41

because we've started to go all right

19:43

what is all of this actually going to

19:44

mean what kind of tariffs are we going

19:46

to get what you know the pull forward

19:47

that we had for tariff spending has sort

19:49

of already been been had so now it's

19:51

like all right where's the new demand hm

19:53

you know growth forecast slower than

19:56

expected at companies including Walmart

19:58

well the Walmart wasn't really that bad

19:59

and Walmart tried to blame it on their

20:01

TV manufacturing business that they

20:02

bought well technically it's a designing

20:04

business since they themselves Outsource

20:06

but anyway you you put all that together

20:08

does create some uncertainty now

20:10

sometimes uncertainty is a great

20:11

opportunity to buy the dip in stocks

20:14

personally I think that if the only

20:15

uncertainty we face is this uh H5 U I

20:19

don't know what no it was Hong Kong u5

20:22

the

20:22

hku5 kv2 variant of uh of of this sort

20:28

of bat if that's the uncertainty leading

20:30

markets to sell off right now I mean

20:32

that's probably a nothing Burger I would

20:34

argue with a 97% certainty it's a

20:37

nothing burger and you can watch my

20:38

video on it if you know markets are

20:40

selling off because of drama over the

20:42

bybit hack then that that that is also a

20:44

buy the dip opportunity uh markets have

20:47

become sophisticated enough to realize

20:48

that if they don't step in to bail out

20:50

uh a potential bank run then they end up

20:53

collapsing like FTX and it leads to

20:55

substantially larger

20:57

problems and more more losses now when

21:00

it comes to uh this employment data well

21:04

that's what makes me concerned because

21:06

most people seem convinced that oh well

21:10

everything's fine the labor market is

21:11

fine look jobs are still fine but I

21:14

think people forget that recessions

21:16

usually are defined in the past in the

21:20

rear view mirror and this is actually

21:23

really problematic because it it takes

21:25

away your predictive power and it means

21:27

you have the highest likelihood of being

21:28

in a shock now this is the kind of stuff

21:30

we talk about in our course member live

21:31

streams regularly this morning we were

21:33

doing a hymns analysis uh and their

21:36

exposure to glps do you know how many of

21:38

their customers are subscribers because

21:40

of glps do you know how many of their

21:41

customers are senior citizens the these

21:43

are important things that we dive into

21:45

to evaluate okay what's what what could

21:47

a potential Revenue impact be at hims if

21:50

they lose their ability to utilize a

21:52

compounding exemption if you don't know

21:54

these things I really encourage you join

21:56

the course member live streams on a

21:57

daily basis you could two watch them

21:59

back and I'll even post summary notes on

22:00

these fundamentals just go to me

22:02

kevin.com you get trade alerts you get

22:04

lifetime access uh you get long-term

22:07

investing Theses Tax Strategies I mean

22:09

these are really Advanced you know from

22:11

basic level Finance to advanced level

22:13

Finance topics that that are really

22:15

designed to help you get to the next

22:16

level so check those out out me

22:18

kevin.com but if you go to the St level

22:20

St level St Louis fed and go to um

22:25

unemployment

22:26

rate it's worth noting how much of a lag

22:30

there is in in when you actually end up

22:31

seeing the unemployment rate Spike

22:33

relative to uh recession uh and so as an

22:37

example if I pull into the uh uht bubble

22:41

recession or the uh you know 2008

22:45

recession you don't actually hit Peak

22:48

unemployment until the recession is

22:49

essentially over now this is quite

22:51

shocking but if you look the stock

22:54

market bottomed somewhere around March

22:56

of 2009 the stock market started tanking

23:00

around March of 2008 so notice how the

23:03

stock market actually tanked before the

23:05

unemployment rise came and the stock

23:07

market bottomed before the peak of

23:11

unemployment now the same thing was true

23:13

over here this stock market uh started

23:16

falling uh you know in 2001 late 2000

23:20

and you didn't actually really see the

23:22

peak of your unemployment until

23:24

basically the turn of 2001 to

23:27

2002 now that's really interesting it's

23:29

worth paying attention to as well and

23:32

you ended up getting your bottom in the

23:34

stock market in March of 2003 but you

23:36

didn't hit Peak unemployment until you

23:39

had this other surge over here in June

23:41

of 2003 so in other words the market

23:43

seems to bottom about 3 to 6 months

23:45

before you hit Peak unemployment but

23:48

we're at the top right now in the stock

23:50

market so you you haven't gone through a

23:53

bottoming process yet if this is a

23:55

potential future now again is this an

23:57

argument that says and then we're going

23:59

to get into the Burk share letter here

24:00

is this an argument that says oh my gosh

24:01

sell everything no I mean of course not

24:04

I'm not your personal financial

24:05

adviser but I do think it's an argument

24:08

for being cautious uh how can you be

24:11

cautious well one of the ways you could

24:13

be cautious is diversifying your

24:14

Investments uh private Market

24:16

opportunities are interesting because

24:17

they're less exposed to the volatility

24:19

of the public markets so for example at

24:22

the moment for accredited and hopefully

24:23

soon for non- accredited uh our um our

24:26

investors into house hack receive 5%

24:29

yield on their investment in addition to

24:32

5% which just 5% alone that's not a big

24:34

deal but in addition to the 5% you get

24:37

100% of The Upside in the stock so you

24:39

know you know if we end up over you know

24:41

you know the next six seven years or

24:43

whenever between now and IPO time if

24:45

we're able to 10x 20x 50x the company I

24:49

have no idea what it would be hopefully

24:50

it'd be something great like this you

24:52

you capture all of that upside uh in

24:54

between now and conversion you earn 5%

24:57

that's just an example it's you don't

24:58

have to invest in my real estate company

25:00

it's real estate you know it's not for

25:02

everyone uh but

25:04

diversifying is one option another

25:06

option is looking into uh treasury bonds

25:10

you know those those are another option

25:11

you capture some yield uh and you could

25:14

do what Warren Buffett does well Warren

25:16

Buffett just goes for you know up to one

25:18

year treasuries six to six to one year I

25:20

think six months is is his favorite uh

25:23

another option is pay down debt there

25:25

are a lot of people with outstanding

25:27

margin uh in fact we could look finra

25:30

finra margin outstanding and I would be

25:32

really nervous about uh some of these

25:34

levels because we're at all time highs

25:40

on margin outstanding right now standby

25:43

let's see here there it is all right

25:46

here you go margin statistics look at

25:49

that

25:51

937 billion doll of margin outstanding

25:56

it's the highest at least in the chart

25:57

that we could see here we can get some

25:58

historical data too by going through the

26:00

download of the data but this is

26:03

substantial so uh this is going to be

26:05

something to pay attention to I think we

26:06

may have been beaten by this once at the

26:08

end of 2021 or so and then margin just

26:11

absolutely collapsed because so many

26:12

people got burned you know margin's

26:14

great when markets are going up but

26:16

there's a sudden shock oh man you're

26:18

borrowing money to lose it oh it's it's

26:22

bad then you have the Panic of the

26:24

potential for a margin call and it just

26:25

leads to poor decision- making so

26:27

reducing Deb is is usually a

26:29

psychologically smart thing to do uh I

26:31

know how how burdensome it could be to

26:33

not want to pay off debt because it's

26:35

like oh but you know if the stock just

26:36

bounces back a little bit all right well

26:39

I I just want to make sure we we talk

26:41

about this at the top of the market okay

26:43

anyway so the burshire letter was

26:45

interesting I'm just going to point out

26:48

some of the highlights that I found

26:49

interesting I'm not going to read

26:50

everything here but I love the argument

26:52

about Praise by name criticize by

26:55

category so don't speak poorly about an

26:59

individual instead criticize the

27:01

category when you're talking about let's

27:03

say reviewing a business or whatever uh

27:05

and then praise people by name I find

27:07

that very interesting uh then uh he

27:10

talks about how important it is to

27:12

realize that managers aren't perfect and

27:15

more managers should admit that they're

27:17

wrong and they've made a mistake because

27:19

then you can actually start solving the

27:21

problem right what do they always say

27:22

the first step of solving a problem is

27:24

is identifying or admitting it uh anyway

27:28

uh he talk talks about you know don't

27:29

fool yourself uh into not acknowledging

27:33

and solving mistakes he goes through

27:35

some stories that are quite interesting

27:37

how he talks about how he never looks at

27:39

where somebody's school is that they

27:40

went to talks about how 53% of their 189

27:45

reporting businesses uh or or businesses

27:48

that they own or have ownership in

27:49

reporting a decline in earnings now

27:53

Burkshire did better in part because of

27:55

the treasury income they had and then

27:57

also the insurance business they talked

28:00

about how there really weren't Mega

28:02

major storms that of course their claims

28:04

that they still pay out on asbest which

28:07

have been going on for 30 years there

28:08

are short-term claims that they'll have

28:10

to pay out for storms or fires but some

28:12

years you'll get multiple Mega storms in

28:15

a row and he talks about them not having

28:17

been exposed to these in uh 2024 and

28:20

helping increase their income in the

28:22

shortterm but be careful because you

28:24

know you could have a really good year

28:25

and then you can have a really bad year

28:26

with insurance uh he he also says that

28:30

sometimes businesses will blink yellow

28:32

and give you a warning sign and you

28:34

should pay attention to those warning

28:35

signs so he says that the treasury

28:38

Department knew that Berkshire Hathaway

28:40

was going bankrupt the furniture

28:42

business was going bankrupt because they

28:44

kept the shell right and used it as the

28:46

company has now the shell was going

28:48

bankrupt uh and the treasury Department

28:50

knew that before anybody else did

28:52

because he stopped paying taxes to them

28:54

for at Berkshire haway because they

28:55

weren't making money anymore he was

28:57

basically always say saying hey like

28:59

sometimes a business can look cheap

29:00

because its income is going down and you

29:03

have to be careful because that could be

29:04

for a reason maybe that company is

29:07

bleeding

29:09

out then uh it talks up America How

29:12

Great America is how much money they've

29:14

paid in taxes takes a slam at other

29:16

companies that aren't paying a lot of

29:17

money in taxes because of tech Loop or

29:20

whatever talks about uh how they don't

29:23

have a lot of flexibility in the markets

29:25

mostly because when they make a move

29:26

it's so large it takes them while to get

29:28

in and

29:30

out uh then he talks about foregoing on

29:33

dividends to reinvest at the company

29:36

we've heard some of these things before

29:37

talks about investing the float uh he

29:40

this was fascinating too he talks about

29:43

uh that uh when when when CEOs are paid

29:46

on a level of performance or stock

29:50

exposure rather than option exposure uh

29:53

it it's an approach that encourages

29:56

caution but does not Ensure

29:58

foresight I don't know if um you know

30:03

how much of that is true his idea is

30:05

basically if the stock goes down the

30:06

owner loses money as well like the the

30:09

CEO uh I get that uh but what I really

30:12

liked was the line that you could do

30:15

something that encourages caution but

30:18

does not ensure foresight you can't

30:20

guarantee that you'll see everything

30:21

that's happening or going to happen in

30:22

the future thought that was fascinating

30:24

uh it talks about how they're not going

30:25

to lower their underwriting qualities

30:28

talks about his investments in Japan and

30:30

how great Japan is because Japan's

30:31

gotten so cheap blah blah blah blah then

30:34

they actually just kind of go through

30:35

the investor day of what they're going

30:37

to do how they're going to talk to Becky

30:38

quick and and some scheduling stuff so

30:40

that's really it for the birkshire

30:42

letter I really think uh some of the

30:44

other things that we talked about though

30:45

are much more important and we know that

30:48

Warren Buffett's cash pile is at alltime

30:50

record highs we also know that he

30:53

doesn't try to time the market uh his

30:55

take is uh just look for good

30:58

opportunities and he sees a substantial

31:00

lack of good opportunities right now in

31:02

markets which is fascinating uh I still

31:04

see opportunities you know we talk him

31:06

with talk about him with course members

31:08

uh but I could see for his scale they're

31:10

they're going to be fewer because

31:11

they've got just way too much money to

31:12

deploy for it to make a difference you

31:14

know they could only put so much money

31:15

into a small company before they move

31:17

the stock themselves right uh anyway

31:20

with all that I think it's worth uh

31:21

listening to the rest of what Satya

31:23

Adella here said and we'll just sort of

31:24

a little summary here it's a lot of

31:26

information then you can again can

31:28

invest maybe exponentially even knowing

31:31

that you're not going to be completely

31:32

rate mismatched I wonder if there's a

31:34

contradiction in these two different

31:35

viewpoints because look I mean one of

31:37

the things you've done wonderfully is

31:38

you make these early bets when there's

31:40

you you invested in open AI in 2019 even

31:43

before there was co-pilot and any

31:44

applications if you look at the

31:45

Industrial Revolution these um you know

31:48

6 10% uh build outs of Railways and

31:51

whatever things many of those were not

31:52

like we've got revenue from the tickets

31:54

and now we're going to a lot of money

31:55

lost that's true the uh so if you if you

31:58

really think like there's some potential

32:00

here to 10x the or 5x the growth rate of

32:03

the world shouldn't you just like let's

32:05

go crazy let's do the hundreds of

32:07

billions of dollars of compute it's not

32:09

about building compute it's about

32:10

building compute that can actually help

32:12

me not only train the next big model but

32:14

also serve the next big model uh and you

32:17

understand until you do those two things

32:18

you're not going to be able to really be

32:20

in a position to take advantage of even

32:22

your investment so you have to have a

32:23

complete thought not just one thing that

32:28

thinking

32:29

about all right so that was really the

32:32

the rest of that just to cover that as

32:34

well I mean again this idea is very

32:36

simple it's like let's prove that we can

32:38

make money first then we can keep

32:39

spending as long as we can exponentially

32:41

make money we can exponentially keep

32:42

spending so put all of these things

32:44

together and I think when you put them

32:46

together on a list it it becomes

32:48

something that you know at least merits

32:51

some caution uh cash Levels by uh at

32:54

least institutional surveys are quite

32:57

low right so let's write these down low

32:59

cash levels something to pay attention

33:01

to what's another thing that we want to

33:03

pay attention to well the lagged deep Fe

33:06

seep effect right so lagged uh deep seek

33:09

effect this this mainstream media

33:12

argument that I think is so interesting

33:14

is you've had a lot of people say oh

33:16

well you know the Deep seek effect

33:18

didn't do anything because capex

33:19

spending didn't go down look at you know

33:21

Microsoft Amazon meta whatever okay but

33:24

they reported earnings 5 days after the

33:27

Deep seek fact you know 5 days isn't

33:29

enough to adjust 6 to 12 months and this

33:32

is what I've said since day one this

33:34

just be careful it is it is a it's like

33:36

a cancer that has been

33:40

planted uh then so watch the capex

33:43

redirection or slowdown low levels of

33:46

cash watch these job revisions also a

33:50

lot of talk right now about growth or

33:53

lack thereof and remember what happens

33:56

when growth slows down

33:58

when growth slows down companies

34:02

lose their PP nobody likes losing their

34:05

PP when their pricing power goes down

34:08

they end up taking it in the margin Okay

34:13

small PP taking it in the margin are

34:16

problems and they all lead to

34:19

eventual uh but not immediate job loss

34:24

uh Jess job losses there we go whatever

34:28

so uh just watch all of these things in

34:30

your investing career be careful I

34:32

personally think uh there's still

34:33

opportunities in high quality real

34:35

estate specifically single family mostly

34:38

because I have this

34:39

Vision so we're going to call this

34:41

section Kevin's

34:43

Vision uh and and it's it's I'll call it

34:46

my my bare Vision bare Vision uh my bare

34:51

thesis is that uh we end up in a uh

34:55

deflationary

34:58

uh

34:59

recession and this is going to be marked

35:01

by uh marked by 10 to 14%

35:09

Unemployment uh the problem is this uh

35:13

will be quite sticky and the reason I

35:17

say it'll be quite sticky uh is because

35:20

I actually think the beauty of ai ai

35:24

will make it harder to rehire

35:28

uh this will actually make it make it

35:30

harder

35:31

to um come out of the recession to

35:36

escape the recession uh it will take

35:39

much longer to get out uh you could see

35:42

flat

35:43

returns uh in markets for years you many

35:48

years because you need people to go back

35:50

to work to get the consumption going

35:51

again right this is where I think

35:53

there's the potential you start seeing

35:54

some more clamoring for Doge stimulus

35:57

but but I don't think it's going to do

35:58

much to actually create jobs it might

36:01

create temporary little boosts in

36:02

spending like what you saw in China but

36:04

doesn't sustainably change anything you

36:07

know in our Co recession when we

36:09

stimulated we were

36:10

stimulating what was actually a

36:12

relatively strong economy uh but Kevin's

36:15

bear Vision here is a deflationary

36:16

recession that's really you know it

36:19

usually how it

36:20

starts so uh it starts with a market

36:24

slowdown uh some early indicators of

36:30

Labor Market

36:32

stress uh

36:34

then after that the compounding effects

36:38

take hold compounding hits uh weaker

36:42

growth more layoffs this is a cycle

36:45

right we end up in a deflationary

36:47

recession so this means prices go

36:50

down but people have less Capital you

36:53

know risk assets go down in this risk

36:56

assets uh down so this usually means

36:59

that things like gold bonds usually do

37:02

well in a recession but a deflationary

37:07

recession

37:08

um you know may not do as well for gold

37:13

I I don't know you know because gold has

37:15

already been propped up on this idea of

37:17

tariffs and inflation so how much of

37:19

that gets replaced with um deflationary

37:23

I don't know but usually golden bonds do

37:26

well I would guess that if we hit a 10

37:28

to 14% unemployment rate we're probably

37:32

back to 0% interest rates and QE uh AI

37:36

will make it again harder to rehire

37:39

which which just leads to more QE right

37:42

uh more QE it'll make it harder to

37:45

escape recession and and

37:47

really probably asset owners will end up

37:50

doing the best uh like you know people

37:52

who can leverage their assets for debt

37:55

uh for cheap debt and so I think uh

37:59

leverageable assets will become very

38:02

very valuable uh to me the easiest one

38:05

is just real estate but then again

38:07

that's you know that's my world of

38:08

expertise apparently I can't even spell

38:10

leverageable maybe because it's not a

38:12

word put the e in there anyway so

38:16

whatever uh I I don't want that to

38:19

happen I mean sure it'd be cool for

38:20

rates to be back to 0% again but this

38:23

would be terrible you know the economy

38:25

will be in a poopy duper for a while so

38:28

I don't love this be Vision uh but uh

38:31

just the data that we've gotten over the

38:33

last two days has has increased the

38:35

likelihood of this to me so you

38:39

know 3 days ago call you know put me at

38:43

4.8 on the bare bull scale you know 100%

38:47

so like a score of one would be sell

38:52

everything uh scale of 10 is margin

38:54

everything all in baby I was probably

38:56

about a 4.8 3 days

38:58

ago I've been kind of more in the middle

39:01

the last couple months just sort of like

39:03

wait to see the data we got all the last

39:06

two days the last two days of data

39:08

probably put me closer to like a

39:10

2.4 so I don't know make uh make with

39:13

that what You' like uh but you know I

39:15

don't have any options on the market uh

39:17

uh in terms of like uh shorts on the

39:19

market or whatever right now I've got

39:21

exposure to bonds uh just to be

39:23

transparent uh via options and and

39:26

actual Holdings but that's mostly

39:28

because I think bonds are are great I

39:30

think they are probably going to be one

39:32

of the best performing Assets in 25 but

39:35

we'll see so I know bonds are kind of

39:37

boring though they're they're not fun so

39:41

that's my take thanks for watching

39:42

goodbye good luck why not advertise

39:45

these things that you told us here I

39:46

feel like nobody else knows about this

39:48

we'll we'll try a little advertising and

39:49

see how it goes congratulations man you

39:51

have done so much people love you people

39:53

look up to you Kevin PA there financial

39:55

analyst and YouTuber meet always great

39:58

to get your take

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