TRANSCRIPTEnglish

Not Good. BIG TRUMP NEWS + ECONOMY | Meet Kevin Report [PM Jan 24]

39m 13s6,753 words968 segmentsEnglish

FULL TRANSCRIPT

0:00

is China about to kick our butt in

0:02

artificial intelligence is Donald Trump

0:05

right about what's going on in

0:07

California with just sending more water

0:09

down south or were there bigger problems

0:12

that are now potentially the subject of

0:14

lawsuits some just straight up nasty and

0:20

is it possible that the United Kingdom

0:23

is the canary of the global economy with

0:27

the United Kingdom now on the edge of

0:30

for session we've got a lot to talk

0:32

about and we'll talk about meta and

0:33

their artificial intelligence we've got

0:35

a Daily Wealth update we've got dad

0:37

Joker the day a lot to talk about

0:39

including some real estate on today's

0:42

meet Kevin report news that makes new

0:46

money okay so first today we got S&P

0:49

Global flash PMI data from both the

0:52

United States and the United Kingdom in

0:54

the United States our readings missed

0:57

and that's probably why the stock market

0:59

and it's slight read today it wasn't bad

1:02

still obviously you know holding up at

1:04

higher levels but what was inside of

1:07

this composit that started making people

1:10

a little bit dare I say nervous well one

1:14

of the things that you saw inside of it

1:16

was a Slowdown in services and composite

1:21

business activity enough to pull the

1:23

entire average with manufacturing down

1:26

now just in English if you look at this

1:29

particular chart here what you'll find

1:32

is ah look at this slowdown here on the

1:35

right it comes right after this

1:37

enthusiasm that we saw after the

1:40

election now why is that interesting why

1:43

does any of this having to do with the

1:45

election matter to anyone well because

1:48

it's very eerily similar to what's going

1:52

on in the United Kingdom except in the

1:54

United Kingdom they had their election

1:58

on July 4th of 201 24 which if you think

2:01

about that that's 4 months before our

2:06

election so in other words they had an

2:08

election then it took about 4 months for

2:11

data to start going crap so in other

2:13

words things were excited leading up

2:15

into the election and then afterwards

2:17

and about four months later things went

2:19

to poopy dupies and now we're at about 3

2:21

months in a row of just Contracting data

2:25

in the United Kingdom consider this

2:27

particular chart for a moment and then I

2:29

want to show you some of the data that's

2:32

going on here and you could really see

2:34

it and start visualizing it uh so first

2:37

let's start by looking on screen at this

2:40

this right here shows you manufacturing

2:43

and services employment in the United

2:45

Kingdom peeking out right around the

2:49

time of the election at the same time

2:52

while input prices are surging got a

2:55

pretty big lag behind in the prices that

2:57

companies are able to charge that's a

3:00

potential sign of weakening pricing

3:03

power we've talked about that before we

3:05

call it the smaller peeee right if

3:07

nobody wants smaller PE but it basically

3:09

means while your costs are going up

3:11

you're restrained from being able to

3:13

pass on the higher cost in full so you

3:17

take it in the margin nobody wants

3:20

smaller PP and then taking it in the

3:22

margin it's not good uh but that's

3:25

exactly what's happened here in the

3:26

United Kingdom in fact look at this

3:29

here's a another chart where we can

3:31

overlay where the election bump was

3:34

right here which is GDP and Flash pmis

3:37

in the United Kingdom and how they've

3:39

fallen down in the months since the

3:42

election now why does that matter and

3:44

what does this have to do with the

3:45

United States a lot because we just had

3:48

our election in November and enthusiasm

3:52

has absolutely gone through the roof

3:54

which some have said is starting to prop

3:57

up manufacturing data potentially hiring

4:00

and just PMI data but what happens when

4:04

that starts weakening well to understand

4:06

what happens when that starts weakening

4:08

let's just consider what's going on in

4:10

the United Kingdom and then we'll go to

4:11

the United States so in the United

4:14

Kingdom we have some numbers that just

4:17

aren't that beautiful in fact the United

4:20

Kingdom is on the edge of a recession we

4:23

have an economy that is quote unquote

4:25

per S&P Global stalled in 2025 with with

4:30

risks tilted to the downside and an

4:32

economy that narrowly avoided a

4:34

recession they say that optimism has

4:36

fallen new orders have fallen and job

4:39

losses are now at the highest level

4:41

since the 2009 financial crisis you

4:45

could see these quotes directly on their

4:46

website just go to the S&P Global

4:48

website uh and you could look this up

4:50

yourself in fact you'll end up finding

4:53

something like this the flash PMI data

4:55

for December indicate that the UK

4:57

economy remained largely stalled

4:59

continuing to avoid a recession by a

5:01

narrow margin but with t with risk

5:03

tilted to the downside the subdued

5:06

business activity in January was

5:07

accompanied by a sustained downbeat

5:10

business optimism environment uh about

5:13

prospects for the year ahead and further

5:15

worsening of the demand environment as

5:18

reflected by a steeper reduction in new

5:21

orders not good not not good at all

5:24

pushing uh uh unemploy now pushing

5:27

employment lower again borrowing the job

5:29

job cutting scene in the pandemic the

5:31

rate of job losses signaled by PMI

5:34

reports over the past two months is the

5:36

strongest since the global financial

5:39

crisis in 2009 so this is obviously not

5:44

good this is pretty bad the United

5:45

Kingdom is not seeing that election bump

5:49

last now a lot of people in America say

5:52

hey well the election in the United

5:54

Kingdom is very different they don't

5:55

have Trump they don't have the

5:57

enthusiasm of what we're getting with

6:00

make America great again and honest to

6:03

goodness I hope that's exactly true

6:05

we've seen a lot of new money announced

6:08

to go into the United States uh but it's

6:12

also worth noting that does not

6:14

necessarily mean we are going to see

6:17

that money actually end up flowing into

6:20

projects in the United States consider

6:23

this for a moment the US chips act under

6:26

Biden authorized $280 billion towards

6:29

semi plants but as of October of 2024

6:32

pretty much all of those projects were

6:34

delayed in environmental reviews now

6:36

some of those environmental restrictions

6:38

have been lifted as of October of 2024

6:40

but it's been like 2 years and there's

6:41

been no progress things tend to move

6:43

very very slowly with this building

6:45

again hopefully things will be different

6:47

under Trump but this is where we should

6:49

think about Donald Trump for a moment

6:51

and go okay well what happened in

6:53

2016 well here's an example during his

6:57

first term Donald Trump worked with

6:59

foxcon that Chinese manufacturing

7:01

company that basically makes your iPhone

7:04

or assembles it or whatever right

7:05

designed in California Manu assembled in

7:09

China right anyway foxcon promised to

7:12

build a $10 billion Factory in Wisconsin

7:16

which Donald Trump then touted as part

7:18

of his plan to revive us manufacturing

7:21

basically people are like Yay you know

7:23

this is you know market watch put a good

7:24

piece together on this and they're like

7:26

hey this is Donald Trump going we got to

7:29

a huge1 billion plant coming so what

7:31

ended up happening well as of 2021

7:35

foxcon ended up only investing $672

7:38

million and instead of hiring 13,000

7:41

people they only hired

7:45

$1,454 people now the company employs

7:48

only about a thousand so it's even

7:50

shrunk since then so this has a lot of

7:53

people wondering okay wait a minute like

7:55

that's cool we can announce all these

7:58

projects and all this enus enthusiasm

8:00

coming off of an election but at some

8:02

point you're going to get to where

8:04

you've got to look at the market and say

8:06

hey we need this to actually turn into

8:09

reality rather than just hope or

8:12

expectations which the market is by no

8:14

means short of expectations or hope

8:16

right now consider the following Goldman

8:18

Sachs which sector will perform the best

8:20

in 2025 42% say technology up from 31%

8:25

last year and which region will perform

8:28

the best 58% say the United States up

8:32

from 32% last year and 32% the year or

8:36

18% the year before that and 32% the

8:38

year before that these are record high

8:41

levels of enthusiasm for investing in

8:43

the United States and investing in US

8:46

technology but enthusiasm usually comes

8:49

before reality and that the the spending

8:53

we're doing has to actually materialize

8:55

and if you look at the United Kingdom

8:57

it's kind of a warning sign that that

8:59

just because you have an enthusiastic

9:01

election does not actually end up

9:03

meaning you end up getting a strong

9:05

economy we've now had the third

9:07

consecutive month of contraction and

9:09

Manufacturing in the United Kingdom

9:11

their service sector only grew slightly

9:13

consumer facing providers were were

9:16

frankly the the weakest out of all of

9:18

them which isn't great it just means

9:20

your consumer sector is really suffering

9:22

and growth momentum has quote been lost

9:25

since the robust expansion of the summer

9:27

of last year going into the

9:30

elction now maybe corporate insiders

9:32

could give us a little bit of a heads up

9:34

of what to expect in America oh wait

9:37

never mind per Bloomberg intelligence

9:39

corporate insiders are buying at a ratio

9:42

of. 22 to the level at which they're

9:45

selling which means you basically have

9:47

five sellers or $5 being sold for every

9:50

$1 being bought by corporate insiders

9:53

and then you look back at that first

9:55

chart I showed you which was the S&P uh

9:58

flash p Mi chart for the United States

10:02

remember this one right here look at

10:04

this yes it's a volatile measure but

10:07

notice what you see a peak out after the

10:10

election and all of a sudden a decline

10:13

the question is will this decline just

10:16

continue to be sort of a regular

10:18

volatile movement here or are we going

10:20

to get the plummet like what the United

10:22

Kingdom is has gotten after their

10:25

election I hope not because this

10:27

deteriorating more would be very bad in

10:30

fact this is how today's PMI went and

10:33

again why markets were red today the

10:35

composite read came in at just 52.4 we

10:38

were expecting 55.6 Services missed at

10:41

52.8 we were expecting 56.5 now S&P is

10:45

like oh okay well we've just gone to a

10:46

moderate pace of expansion yeah that's

10:48

cool but the numbers totally missed

10:51

manufacturing beat but at 50.1 so like a

10:54

hair into the expansion territory that's

10:57

like very very basic and generic now

11:01

there's also this argument that

11:03

inflationary pressure is intensified on

11:04

the input cost side much like in the

11:06

United Kingdom but you're not seeing

11:09

that full dose getting passed on to

11:11

Consumers because like I've said you you

11:13

really can't do that you just can't pull

11:15

it off in this environment now what is

11:17

interesting is that inventories fell at

11:20

the steepest rate in the last 17 months

11:25

now usually when inventories start

11:27

falling like that you end up wondering

11:30

okay why your business is not building

11:32

up their inventories well S&P Global

11:35

says it's because companies are just

11:38

going through some of the existing

11:40

product that they have so imagine you're

11:42

a I don't know a manufacturer of uh I

11:45

don't know porcelain bowls or porcelain

11:47

cups okay so you've got you know racks

11:49

of ink and racks of molds and racks of I

11:52

don't know Clay or or porcelain or or

11:55

whatever the stuff is made out of right

11:57

mm

11:59

great so you start using that up more

12:02

but not rebuilding your inventory is

12:04

sending a little bit of a signal that

12:06

while businesses might be really

12:08

optimistic right now and they're trying

12:10

to use the stuff they have they're

12:11

basically being a little bit more uh

12:14

dare I say Frugal they're like you know

12:16

before we go buy some more supplies why

12:19

don't we just blow through what we have

12:21

first and see how the economy goes for

12:24

the first few months of the year and

12:26

look I mean you can't really blame that

12:27

there's a lot of optimism but it's a

12:29

good idea to be frugal as well I think

12:31

the optimism is actually quite insane

12:33

right now uh and I'm not it's a bad

12:36

thing again I want the economy to do

12:37

well because it's great for startups I

12:39

threw this page away CU I read it I'm

12:41

like okay uh but maybe they're right

12:44

this here has a um forecast of a

12:48

probability of recession according to

12:51

economic forecasters right cuz we trust

12:54

the economic forecasters but anyway

12:56

probability of recession from the

12:58

economic forecasters here sits at just

13:03

22% in 2025 and I don't blame them

13:06

because they're so much enthusiasm right

13:08

now how could you possibly make the

13:10

argument that there's going to be a

13:11

recession this year hey you know maybe

13:14

it would be stupid to make that argument

13:15

you can see that there at the bottom but

13:17

the point is nobody seems to be

13:20

preparing for the potential downside

13:22

with the exception of businesses which

13:24

are starting to go uh let start using

13:27

some of our supplies look at what

13:30

happened to the United Kingdom okay they

13:31

had election Euphoria and then it went

13:33

to poopy doopy it's not good you know we

13:36

were talking about that with course

13:37

members this morning in the course

13:38

member live stream we're like oh pay

13:40

attention to this you know we're not

13:42

saying it's a problem today we're just

13:43

saying you what what what the facts are

13:46

and what the data is uh and then of

13:48

course trying to provide uh you know

13:50

some some tools for us to learn from

13:53

this that's always the goal you know I

13:55

spent hours every single day trying to

13:56

put this together and I apologize by the

13:58

way for being absent this morning uh

14:00

Jack woke me up at 2:00 a.m. vomiting he

14:03

ended up vomiting like 7 to eight times

14:05

just screwed up the whole morning and

14:06

then I finally fell asleep again but

14:08

then I didn't wake up until later so I'm

14:10

like short on sleep but I also woke up

14:13

late because it was just a disaster okay

14:16

I'm almost done with the 32nd year of

14:18

life so don't worry uh everything should

14:21

be just fine by Tuesday when I'm 33 and

14:25

I'm out of this odd year even year I'm

14:28

out of 30

14:30

to okay anyway very interesting uh now

14:36

too bad that's not it for the news today

14:38

because now apparently we have to worry

14:40

about the Chinese okay so the CEO of

14:43

scale AI argues that deep seek which is

14:46

the Chinese AI company has 50,000

14:48

illegal h100 chips and The Economist is

14:52

arguing that chines llms are actually

14:54

well they're not the best they're far

14:57

cheaper to make than americ ameran llms

15:00

and they're actually only considered to

15:02

be about 3 months behind United States

15:04

versions which is insane because they've

15:07

recently argued that they're they've

15:09

basically been able to get to Seventh

15:12

Place

15:14

in

15:15

llms with just $56 million of spend this

15:20

has a lot of people going oh my

15:22

gosh the United States is spending like

15:25

56 billion do on uh on artificial

15:30

intelligence over like a 3 to six month

15:33

period and then we do that over and over

15:35

and over again in fact this dude on X

15:37

put together a great piece he his name

15:40

is the short bear I don't know uh it

15:43

sounds like he's a bear that is short

15:45

rather than maybe a bear that is short

15:46

in stature but anyway take a look at

15:48

this us-based AI companies alone will

15:51

have to generate about 600 billion

15:53

dollars a year in Revenue to pay for

15:55

their AI Hardware according to seoa the

15:59

capex and R&D will likely be accepted to

16:02

remain competitive given the risk of not

16:04

being involved in the space like meta

16:05

announcing today oh we're going to

16:07

invest up to $65 billion up from the 51

16:10

we promised earlier on more capex well

16:12

remember what happened the last time

16:14

meta did this the last time meta did

16:16

this they was on the metaverse and they

16:19

were blowing so much money on the

16:21

metaverse until they got punished and

16:23

their stock went down to the $90 range

16:26

which was crazy now oh no meta spending

16:29

more money on AI we like AI stock goes

16:32

up to all-time Highs but where's the

16:35

ROI and that's what a lot of investors

16:38

are kind of

16:39

like I don't know but if the Chinese can

16:42

create a better product than we can

16:44

maybe we need to be nervous in fact The

16:46

Economist argues that China already has

16:49

the reasoning style AI like uh open AI

16:53

has the 01 product which basically just

16:56

takes the answer and throws it back into

16:57

the machine and almost it's almost as if

17:00

it talks to itself it's just sort of

17:01

like emulating human reason like okay I

17:04

think this is the answer now let me read

17:06

it again do I agree that that is the

17:09

answer H well I could add a little more

17:11

context to this whatever right okay cool

17:14

so China's already doing that and so the

17:16

economist fears that China could

17:18

actually end up with some sort of super

17:19

intelligence breakthrough and end up

17:21

giving China some kind of massive lead

17:23

over the United

17:25

States and at that point do we really

17:27

have to be worried about freaking Tik

17:29

Tok The Economist is freaking out about

17:31

it they're like y'all y'all worried

17:34

about Tick Tock yall realize what we're

17:37

up against here what we're actually up

17:40

against this is

17:42

crazy anyway

17:45

uh this this gets interesting but

17:48

what'll also get really interesting is

17:50

this uh uh note that's circulating from

17:52

meta now I don't have a way of verifying

17:54

this so that this could be totally false

17:57

uh but uh it's it is very very

17:59

interesting and I'm excited to talk more

18:00

about it in the course member lectures

18:02

I'm going to pull it up in just a second

18:03

uh I still have not gotten around to

18:05

updating the video on the meet Kevin

18:07

website uh pitching how great the

18:09

trumponomics course is because you know

18:11

a lot of content has already released

18:13

new content is in production uh we we

18:16

the the price of the course will

18:17

probably be about double within the next

18:20

six months as as actual like more Trump

18:23

content comes out we've got a lot of

18:24

trump content in there already filmed at

18:26

the end of last year but if you want to

18:27

join it go to meet Kevin check it out

18:29

you get lifetime access to the course

18:30

member live streams at course member

18:32

live this morning we're starting a

18:33

trading Channel with options Trading

18:35

alerts uh all of that is starting uh

18:38

February 1st uh and so we'll have

18:40

options Trading alerts as well as uh

18:42

those will be bought options sold

18:43

options uh stocks you name it so it's

18:46

it's it's going to be really fun uh

18:47

we've got some really cool things coming

18:49

so buckle up for that I just need to get

18:50

the marketing video done but by the time

18:52

I do I feel like I should raise the

18:54

price you know it's like when marketing

18:55

is perfect then we're going to have a

18:56

higher price anyway let's get into that

18:59

um that meta letter so take this out

19:01

here it started so this is uh looks like

19:04

it's some sort of meta post somewhere uh

19:06

it started with deep seek version 3

19:08

which rendered the Llama 4 from Facebook

19:11

from meta already behind in benchmarks

19:14

adding insult to injury was the unknown

19:16

Chinese company with $5.5 million of a

19:18

training budget Engineers are moving

19:20

frantically to dissect uh deep seek and

19:23

copy anything and everything we can

19:24

learn from it I'm not even exaggerating

19:27

management is worrying about just ifying

19:29

the massive cost of gen aai how would

19:31

they face leadership when every single

19:33

leader of geni is making more than is is

19:37

making more than what it cost to train

19:41

deep seek entirely in other words like

19:43

the CEOs are making more money than what

19:45

deep seek took to train their entire

19:48

Ai and then we have dozens of such

19:50

leaders oopsies deep seek R1 made him

19:54

even more scared I can't reveal

19:56

confidential information but it'll soon

19:57

be public anyway

19:59

uh it should have been an engineering

20:01

focused small organization but a bunch

20:02

of people want to join the impact group

20:04

and artificially inflate hiring in the

20:05

org everybody loses okay so I think

20:09

what's happening here is something that

20:10

I've been warning about probably for

20:12

about a year now which is eventually

20:14

these these things are just going to

20:15

become commoditized like there's nobody

20:18

like everybody's going to have this on

20:19

their phone on their computer or

20:21

whatever it's like cool you have a

20:24

really good

20:26

encyclopedia great absolutely fantastic

20:29

you've got an encyclopedia speaking of

20:31

Encyclopedia this is just like

20:33

convenient timing look uh look who's

20:35

here with Gavin gruesome people from the

20:38

area I appreciate the governor coming

20:40

out and meeting me Kevin oh you very

20:44

much and uh we'll be talking a little

20:47

bit we want to get it fixed we want to

20:48

get the problem

20:50

fixed and there'll be some ways

20:54

but this is just awkward anyway so such

20:59

a distraction Kevin was like gez that's

21:01

almost as distracting as you pitching

21:02

your freaking coupon code sorry guys

21:04

it's just like I actually you know I've

21:06

been doing course member live streams

21:07

since like 2017 and I actually think

21:09

they're really good like we go into some

21:11

really good fundamental analysis and

21:13

thought and uh and sometimes they

21:15

contribute to the trade alerts and the

21:17

options alerts uh and uh and there's

21:19

some really good stuff there so really

21:21

excited about it you pay once you get

21:22

lifetime access to them got to raise the

21:24

price we're probably going to do a

21:25

birthday coupon code at a higher price

21:28

so anyway I give you a heads up uh you

21:30

can get in before then email us if you

21:32

have questions or want to bundle up at

21:33

staff atme kevin.com okay so this uh

21:35

this llm fear is uh obviously a big deal

21:39

a lot of people are freaking out about

21:40

this but uh I don't think it's very well

21:42

known that these are going to be

21:43

Commodities you know every computer

21:45

every iPad every phone every Everything

21:47

basically your car or whatever

21:49

everybody's going to have a really

21:50

glorious encyclopedia okay

21:52

congratulations what good does that do

21:54

you well it's the same good that it's

21:55

been doing since the beginning of 2023

21:58

okay cool what's next oh they're going

21:59

to be agents okay yeah sure maybe they

22:02

can go through a checklist that's not

22:04

really predictive it's just a bot going

22:06

through a checklist is that really

22:08

revolutionary is that justify you know

22:11

hundreds you know 500 billion dollars of

22:13

money going into just basically

22:14

supporting open AI I don't think so but

22:17

you know whatever so uh as far as the uh

22:21

uh you know Stargate drama Oracle still

22:25

doing well you know there's still arm

22:27

enthusiasm but people also say that you

22:31

might get this sort of Promise of $500

22:33

billion over the next 5 years and it

22:35

ends up being a fraction of that in

22:38

actual spending speaking of uh actual

22:41

spending Marco Rubio has ordered a halt

22:43

to virtually all existing foreign aid

22:45

programs pending a review that each

22:47

dollar spent actually benefits the

22:50

United States they say every dollar we

22:53

spend every program we fund and every

22:55

policy we pursue must be justified with

22:59

the answer to three simple questions

23:02

does it make America safer does it make

23:04

America stronger and does it make

23:06

America more prosperous damn that was

23:09

hot I freaking love that I love that

23:13

almost as much as this next sponsor

23:15

which it's all paragraphed down below so

23:17

if you don't care about the sponsor you

23:18

could always skip ahead but they're

23:20

doing some cool stuff it's think it's

23:23

cool especially before the big game so

23:24

here check it out in the link below and

23:25

use my link for that paid sponsor down

23:28

hey you all know I love asymmetric

23:31

trades where the payoff could be larger

23:33

than what you were trading well

23:36

crypto.com is now offering a sports

23:39

trading opportunity where you can trade

23:43

$26 if you lose your payout is zero if

23:46

you win your payout is

23:49

$100 sounds like an asymmetric bet so

23:52

far right after all all you have to do

23:54

is BET yes or no and that's because

23:57

crypto.com is running a promotion for

24:00

their sports trading opportuni so if you

24:03

take a look at their website here we

24:05

zoom out a little bit you could trade

24:07

your predictions so if you believe a

24:09

certain uh team is going to win or lose

24:12

whether it's in college football or pro

24:15

football bowl games you name it in all

24:17

50 states you could make that trade to

24:21

cost you $26 per contract there are fees

24:25

that are sometimes up to a19 9 per one

24:29

of these contracts but if you're correct

24:34

the payout is

24:36

$100 sounds like an asymmetric trade to

24:39

me and if you want to learn more use my

24:41

link in the description down below

24:43

because you'll get a bonus $10 towards

24:46

your first trade well technically after

24:49

your first trade but you know me we

24:51

always like to net these things out so

24:53

you can get started in a few simple

24:55

steps click the link down below create

24:58

an account at crypto.com trade contracts

25:01

and get your payment usually within one

25:04

business day after you win should you

25:06

win now keep in mind this is a form of

25:09

Commodities trading uh this means that

25:13

yes trading involves a risk and may not

25:16

be appropriate for everybody and you

25:19

should consider whether this is

25:20

appropriate or suitable for you and

25:23

remember that crypto.com is sponsoring

25:25

this video just think the promotion is

25:27

actually pretty good again I'm looking

25:30

at it like hm maybe this is going to be

25:32

what finally gets Kevin into sports

25:37

taking what I love trading and bringing

25:41

Sports to it let's go again check it out

25:44

use my link down below for that extra

25:46

$10 keep in mind they've also got a big

25:50

Bitcoin contest going uh it's a $100,000

25:54

contest where basically the top 10

25:56

sports Traders will win $10,000 in

26:00

Bitcoin each between now and uh 200:

26:03

a.m. on Super Bowl Sunday so uh this is

26:08

a contest you're automatically entered

26:10

into once you activate your USD cash

26:14

account enable derivatives trading

26:16

contracts right and trade at least one

26:19

sports contract before 2: a.m. on Super

26:23

Bowl Sunday check it out via my link

26:25

down below now the Marco Ruby o uh Aid

26:29

restriction does exempt Israel Egypt and

26:32

foreign aid uh also there are now

26:34

reports that multiple agencies are kind

26:36

of freaking out a little bit because of

26:37

the hiring freeze that's going on in

26:40

America uh especially amongst well

26:42

mostly amongst the federal government

26:44

which makes you wonder about the PMI

26:45

data we were talking about earlier but

26:47

the hiring freezes that are set are

26:49

expected to last for 90 days except for

26:52

the Internal Revenue Service they're

26:54

actually going to have to get treasury

26:56

permission to hire again and the FDA is

27:01

unsure if they're currently allowed to

27:03

even issue critical safety alerts Health

27:05

agencies are apparently not

27:06

communicating uh via external

27:08

Communications because and the

27:09

transportation system is shutting down

27:11

for new projects mostly because

27:13

everybody's trying to calibrate around

27:14

like what are we allowed to do what are

27:15

we allowed to say things are a little

27:17

bit up in the air right now but honestly

27:19

that does happen every presidential

27:21

Administration so maybe it's not that

27:22

big of a deal uh and one thing that is

27:24

interesting is Donald Trump's been busy

27:26

look at this executive orders in the

27:28

first 100

27:29

days Donald Trump has exploded he's

27:33

taking the record for Obama Trump one

27:35

and Biden I mean he's almost done as

27:37

many executive orders in the first like

27:38

four days as he did in the first 100

27:41

days the last time he was President

27:43

crazy amount of executive orders some

27:45

people say it's just designed to sort of

27:47

like signal you know be a messaging

27:49

signal other people say it's designed to

27:51

overwhelm the courts I don't know but

27:54

what I do know is we just at the lowest

27:56

level of home sales since 1995 thanks to

27:58

high mortgage rates and everyone's

28:00

basically like huh this doesn't feel

28:03

good for the real estate market although

28:05

prices have been holding up uh the only

28:07

Market that really seems to be booming

28:08

after the Trump election is the luxury

28:10

Market ah kind of crazy in fact house

28:13

Haack had uh an option on a uh a luxury

28:17

deal uh that you know we'll end up

28:19

Runing out for a good cap rate but had a

28:22

suspect deal uh build and uh had the

28:26

option on it before the election and

28:28

after the election like luxury markets

28:31

across the United States have just been

28:33

selling out at like record prices

28:35

because everybody's like yes Trump won

28:38

and they're spend spend spending it's

28:40

crazy so house I think got a house

28:43

probably got like a multi-million dollar

28:45

wedge there substantial multi-million

28:47

dollar wedge it's kind of cool uh but

28:49

anyway uh Donald Trump uh is as you saw

28:51

in California today uh a lot of uh drama

28:54

going around around or circulating

28:57

around Donald Trump's saying that uh too

28:59

much uh water is just running off

29:02

California and evaporating Donald Trump

29:04

says the water is coming from Canada and

29:06

it's just getting diverted to the ocean

29:09

I think he kind of made an oopsy there

29:10

given that Canada is not directly above

29:12

California we got a couple States in

29:14

between but I think what he's referring

29:16

to is the fact that if you just look at

29:17

our Sierra Nevada mountain range in

29:19

California 4.9 to 6.5 trillion gallons

29:22

of water run out into the ocean every

29:25

single year from the Sierra Sierra

29:26

Nevada mountain range now yes some of

29:29

the water that that flows down into the

29:31

Sacramento sanen Delta you know where

29:32

the Delta smelt are and house sa owns

29:34

property around there some of that water

29:36

ends up getting pumped down to the South

29:38

to fill up reservoirs but our reservoirs

29:40

were decently filled up in SoCal with

29:42

the exception of probably the most

29:44

important one the Sanz Reservoir and

29:46

that's where we start getting into some

29:47

of the real big problems that we have

29:51

the big problems are California is in a

29:53

place where you're just not actually

29:58

handling basic need infrastructure

30:01

projects the way you should and it's

30:03

absolutely embarrassing that we have a

30:07

California government that is so inept

30:09

and incompetent it's kind of dare I say

30:13

disgraceful but the way to look at it is

30:15

the LA Times put together a fantastic

30:17

piece and what they basically said is

30:19

hey look California is in a situation

30:22

where they could have spent $57

30:26

million fighting

30:28

and actually uh upgrading infrastructure

30:32

in Los

30:33

Angeles except what did they do

30:36

instead they didn't and because they

30:39

didn't because they were caught up in

30:40

other priorities or whatever else

30:44

California ended up now suffering what's

30:46

going to end up costing 50 plus billion

30:50

dollar these are some pretty good pieces

30:53

I I I'll show you a few quotes of them

30:55

right here I think they're actually very

30:56

incredible so let's see here there's

30:59

also a lawsuit going on uh now from some

31:01

of the celebrities who have just

31:03

absolutely lost their homes and their

31:05

livelihoods or at least the you know

31:07

their setups it's really just

31:08

embarrassing what's happened in

31:10

California but anyway uh let's uh let's

31:12

expand this here so you can see this a

31:14

little easier here here's a la lawsuit

31:16

Spencer Pratt and Heidi monok suing

31:18

LAPD uh sorry La DWP that's the city of

31:22

Los Angeles and the Department of Water

31:24

and Power but some of the charts that I

31:26

wanted to show you right here

31:28

red tape budget shortfalls and

31:30

government in action repeatedly styed

31:33

plans for water system improvements in

31:35

parts of Malibu and toena Canyon high

31:37

priority items including those that were

31:40

listed as high priority fire related

31:42

items were compelling City officials to

31:45

act since 2013 and they just weren't

31:49

done there were plans to build new

31:51

collections for from water systems or

31:54

from reservoirs or to fix the San yanz

31:57

uh uh water base the reservoir and guess

31:59

what you just never got it done and this

32:02

is really what's embarrassing because

32:04

you look at California it's like for a

32:06

state that taxes this much how do you

32:09

fail so badly at at actually maintaining

32:13

your basic infrastructure uh in Los

32:15

Angeles so the LA Times I'll show you a

32:18

little bit more from this piece because

32:19

I just I I think it's so fascinating uh

32:22

but the LA Times Really says that uh you

32:26

could have spent maybe 7 years from 2013

32:31

actually going through piece by piece

32:33

bre fixing leaky pipes leaky pumps and

32:38

repairing the issues that ultimately

32:40

contributed to this fire getting out of

32:42

control more fire staff more fire

32:46

protection every element uh that was

32:48

basically screwed for this fire but it

32:51

wasn't done because the politicians

32:53

really just failed Californians uh and I

32:55

highly blame the politicians because

32:57

ultimately

32:58

they're the ones that we put in charge

33:00

of spending on our behalf to make sure

33:03

that we're safe now the politicians end

33:06

up going as far as trying to blame uh

33:09

individuals who reside in like Malibu or

33:14

other parts of California and what

33:16

they're trying to do is they're

33:17

essentially saying hey uh hey hey whoa

33:19

whoa uh you know yall complain that you

33:22

didn't want higher water prices so

33:24

because you didn't want higher water

33:26

prices um uh you know we we didn't end

33:29

up doing any of those infrastructure

33:32

projects we talked about and this is

33:34

where people are like what's your

33:36

freaking problem like maybe if y'all

33:39

could tell us hey like we need to

33:42

upgrade our fire systems

33:45

because excuse me our water systems are

33:47

absolutely failing well then maybe

33:50

people might vote a little differently I

33:52

kid you not you can see it here look at

33:53

this a lack of progress on many of the

33:55

plans has been driven apart by residents

33:57

opposition to potential increases to

33:59

their water rates this is literally

34:01

finger pointing by the politicians

34:03

saying oh well people in Malibu are not

34:05

pro development bro maybe they're not

34:07

pro development because the city's

34:09

Planning Commission takes forever to

34:12

actually approve projects I mean you try

34:14

to get a project to prove over there

34:15

look at this the estimated cost for fir

34:17

flow needs was just $57 million in

34:20

construction would have taken 7 years

34:22

they would built new tanks fixed the

34:24

aging and severely severely deteriorated

34:27

other tanks or systems or whatever and

34:30

what now we're spending 1,000x that

34:33

billions more it's insane I it's just

34:36

mindblowing to me the the incompetence

34:39

uh these are literally politicians who

34:41

on their desks have hey here's serious

34:46

problems these serious problems could

34:48

get out of hand and could cause billions

34:51

of dollars and fire damage hey maybe if

34:54

you all fix it you won't end up with

34:56

those problems what do you think about

34:58

fixing it oh yeah no not interested oops

35:03

I don't get it I don't I just don't get

35:06

it now then then you get this drama

35:07

about the Delta smelt you know I'm I'm a

35:09

big believer that if there's so much

35:11

drama about certain species why aren't

35:13

we trying to build new habitats for

35:15

those species like humans are here we

35:18

build things so yes Wildlife is going to

35:21

move and get relocated but that doesn't

35:23

mean they have to go extinct I'm sure we

35:24

could find a new home for the Delta

35:26

smelt I don't know it sounds a little

35:28

ludicrous to me but then again you know

35:31

it also sounds ludicrous to me that it

35:33

takes 30 minutes for firefighters to

35:35

respond to a burn SCAR Where you know

35:37

there's potentially still smoldering

35:38

fire after the uh fire at the um uh set

35:42

off by fireworks above the Palisades and

35:45

it takes 30 minutes for firefighters to

35:46

respond to it on the morning of the

35:48

Palisades fire when it reignites you see

35:51

that to me is is is ludicrous I mean

35:53

politicians should be getting fired for

35:56

this it's bad

35:58

Donald Trump suggested with Hannity that

36:00

uh maybe what we need to do is uh get

36:03

rid of FEMA entirely and just have

36:04

States solve their own problems and uh

36:07

the federal government is willing to

36:09

contribute to uh uh to the funding for

36:12

these but uh ultimately States might be

36:15

able to

36:17

establish how to solve their problems

36:19

themselves in the best manner uh you've

36:22

apparently now also on sort of some

36:23

micro news here got X so Ela mus x uh

36:27

having about $3 billion of debt go up

36:30

for sale at a discount of 90 to 95 cents

36:33

on the dollar so this is Bank held debt

36:37

that X OES and uh there's some hope that

36:41

they can actually sell this debt at just

36:42

a 5 to 10cent Discount now because

36:44

there's enthusiasm around musk and given

36:47

his ties to Trump maybe this is

36:48

opportune for people to buy into this

36:50

debt but it's worth noting that this

36:53

month Elon Musk mentioned hey look we're

36:55

growing in influence and power x is

36:57

doing great but our finances are still

37:00

problematic

37:02

oops anyway uh American Express spent a

37:05

little bit more money on uh their

37:07

marketing up 31% year-over-year that led

37:10

the stock to actually fall after

37:12

earnings even though growth was still

37:13

moving along uh we do have to end up

37:16

hitting now our dad joke and Daily

37:17

Wealth so let's hit it uh let's first

37:19

hit the dad joke uh do you stir your

37:22

coffee with your right

37:25

hand well if you do you should consider

37:27

using a spoon next

37:32

time yeah I know not funny so Daily

37:36

Wealth H well today what I'd like to

37:39

talk about

37:42

is it is so great when you have finally

37:45

completed chaos and I just want you to

37:49

try it we've talked about Chaos Theory

37:51

so many times before go go start with

37:54

one drawer just open up like one drawer

37:56

of your desk right now or your do your

37:58

side dresser a drawer in your car or

38:01

your center console or closet or

38:03

whatever dump it all out just reorganize

38:06

that one

38:07

drawer and the feeling you get when

38:09

you're done every time you go open that

38:11

drawer the next time it's sort of like

38:12

what we've got in the office now which

38:14

is so exciting it's it's like 96 97%

38:17

complete now every time I come in

38:20

there's like this new enthusiasm to work

38:22

or to use the functions of why you had

38:25

that drawer so to speak in the first

38:26

place but I want you to take a moment to

38:29

think how can I bask in the joy of the

38:31

chaos theory that I've performed and the

38:33

successes that have come out of it so um

38:36

that's the uh tip for today anyway thank

38:38

you so much for watching folks we'll see

38:40

you in the next one goodbye and good

38:42

luck and start using that spoon go to

38:44

meet kevin.com by the way get in before

38:46

we uh bump those prices up there on the

38:48

tromics group I got to get that new

38:50

marketing video up been too busy all

38:53

right folks we'll see you soon bye do

38:55

not advertise these things that you told

38:57

us here I feel like nobody else knows

38:58

about this we'll we'll try a little

39:00

advertising and see how it Go

39:01

congratulations man you have done so

39:02

much people love you people look up to

39:04

you Kevin P there financial analyst and

39:07

YouTuber meet Kevin always great to get

39:09

your take

UNLOCK MORE

Sign up free to access premium features

INTERACTIVE VIEWER

Watch the video with synced subtitles, adjustable overlay, and full playback control.

SIGN UP FREE TO UNLOCK

AI SUMMARY

Get an instant AI-generated summary of the video content, key points, and takeaways.

SIGN UP FREE TO UNLOCK

TRANSLATE

Translate the transcript to 100+ languages with one click. Download in any format.

SIGN UP FREE TO UNLOCK

MIND MAP

Visualize the transcript as an interactive mind map. Understand structure at a glance.

SIGN UP FREE TO UNLOCK

CHAT WITH TRANSCRIPT

Ask questions about the video content. Get answers powered by AI directly from the transcript.

SIGN UP FREE TO UNLOCK

GET MORE FROM YOUR TRANSCRIPTS

Sign up for free and unlock interactive viewer, AI summaries, translations, mind maps, and more. No credit card required.