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WTF: I was *NOT* Expecting THIS AI Problem.

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0:00

hey everyone me Kevin here as we go into

0:01

earnings season it's worth knowing that

0:04

there can sometimes be leading data and

0:07

this time we're getting leading data

0:09

from artificial intelligence and well

0:12

exports that are starting to miss thanks

0:15

to the United States now this has

0:17

happened before we have volatility in

0:20

some of these numbers but the magnitude

0:22

of this Miss is something we haven't

0:23

seen since

0:24

2015 and it's somewhat odd because

0:28

really there's there's this large

0:30

narrative that right now a lot of our

0:32

GDP is propped up by well government

0:34

workers 785,000 of them if you read the

0:37

last government uh BLS report uh and

0:40

then of course artificial intelligence

0:42

which uh was likely one of the reasons

0:44

why we're quite frankly not in a

0:46

recession yet uh who knows maybe we

0:48

already are but at least not

0:50

definitionally so let's take a look at

0:52

this report out from Goldman Sachs which

0:54

actually comes from the uh Taiwanese

0:58

trade Ministry uh if you uh dive into

1:02

the numbers they're definitely a lot

1:03

more than meets the eye see if you look

1:05

at a Taiwanese news site like Focus

1:08

Taiwan you'll actually see a headline

1:10

Taiwan exports hit new high in September

1:13

driven by strong AI demand okay cool

1:16

this is a Taiwanese paper saying hey

1:18

everything's fine this is great and if

1:20

you just read the headline or FR frankly

1:22

you only read this story this wouldn't

1:24

seem like it'd be a big issue but it's

1:26

not until you actually dive a little

1:28

deeper like the this Goldman Sachs

1:30

research here that you find that the

1:33

Taiwanese export numbers were actually

1:35

way worse than expected these are

1:39

actually that that sorry that these are

1:42

actually pretty bad numbers now I'm not

1:44

looking for things to be bearish I

1:46

actually really just want to understand

1:48

what's going on in the macro environment

1:50

and I want to understand the trajectory

1:52

of artificial intelligence because quite

1:54

frankly if we get continued good jobs

1:56

data here uh you know I want to make

1:58

sure I'm positioned correctly

2:00

when I'm buying stocks and this was very

2:03

interesting to me so I wanted to look at

2:04

this with a skeptical Outlook but look

2:06

at this this is not Taiwan semi this is

2:08

Taiwan the country though obviously

2:11

taiwan's semiconductor producing 90% of

2:13

the advanced chips in the world is

2:15

basically your exporter coming out of

2:17

Taiwan right so Taiwan negative surpris

2:20

surprises in September exports led by

2:22

drop in AI related exports specifically

2:25

to the United States now that's

2:27

interesting to me because it it does

2:28

make me think of uh a few things that I

2:31

go into this with the first thing I go

2:34

into this with is I know that uh Elon is

2:37

uh done with his uh Nashville Data

2:40

Center and it's possible that in part

2:43

because of that you have less shipments

2:44

coming to Elon via you know his expanded

2:47

data centers for Tesla or otherwise or

2:50

even Axe and Gro uh and potentially

2:53

that's slowing shipments but you know if

2:55

these are in such high demand we should

2:57

continue to see more shipments so you

2:59

know maybe who know who knows maybe

3:00

there was a supply chain issue or

3:01

something but I do also go into this

3:04

knowing that Amazon reduced their orders

3:08

for uh additional h100 chips now their

3:12

argument was that they were just waiting

3:14

for Blackwell and that's sort of what's

3:16

being advertised but I always like to

3:18

say look if if the AI demand and the AI

3:20

profit is so

3:22

large you know even if the margins are

3:25

slightly less using the h100 I'd rather

3:27

fulfill the demand now if the demand

3:29

starts slow and I actually don't need

3:31

any more chips right now and you know if

3:33

I want a future proof I'll just get the

3:34

new Chips when they're out it's it is a

3:36

sign somewhat of maybe we have a little

3:38

too much AI server demand mind you I'm

3:41

also going into this with the impression

3:43

that 99% of AI companies will probably

3:46

go bankrupt I think they're really high

3:49

risk mostly because I mean I hate to say

3:51

it but I just I did capitulate uh for

3:54

those of you who want to know I did

3:55

capitulate I did end up getting the 16

3:57

one of the reasons I didn't want the 16

3:59

is because it was going to take me

4:01

forever to transfer all the stuff I have

4:03

both phones here right now and it's

4:04

taking me forever to transfer all these

4:06

apps because I do it all manually

4:07

otherwise it just sets up slowly but but

4:10

sometimes by doing that I also go

4:11

through and I see some of these other

4:12

apps that exist and I'm looking at this

4:14

right now I'm like well I have co-pilot

4:16

AI that I can use uh the acrobat AI uh

4:20

you know PDF reader is actually pretty

4:22

decent on the phone Notions now

4:25

incorporating AI though I think they use

4:26

the GPT engine then of course you've got

4:28

GPT then you've got Gro

4:30

but then beyond that uh I I know you've

4:32

got Bing as well then I found you know

4:36

this other one which is I think

4:37

anthropics which is cloud or that's not

4:40

Cloud it's claw whatever uh and uh and

4:45

to me it's like my gosh how many

4:46

different AI chat Bots could I possibly

4:48

need you you know what I mean like

4:50

there's a so I do Wonder like how many

4:52

of these companies are training chat

4:54

Bots when the market doesn't even need

4:56

that many chat Bots and when we go down

4:58

to like an olop

5:00

of of you know AI uh servers basically

5:04

uh are we cutting out the rest let me

5:06

clarify what I mean I like and then I

5:08

want to get into this data because this

5:10

AI drop is pretty intense but but

5:12

consider the data for a moment here if

5:15

uh or or another example of an oligopoly

5:18

like what what would a good example of

5:19

an olop I can't even say the word

5:22

oligopoly be uh I think personally cell

5:25

towers you know right now if you want

5:27

different cell service youve basically

5:29

got Verizon in T-Mobile and AT&T and

5:32

then you might say no that's not true I

5:34

use mmobile or whatever but then you

5:36

realize they just use the T-Mobile bands

5:38

or you know whatever uh I think the

5:40

Google five ones I think they use

5:41

Verizon I'm not sure but anyway you

5:43

really just have three providers here

5:45

and so what happens is if you're like oh

5:47

I want to get into you know making cell

5:49

towers it'd be crazy for you to spend

5:52

the capex to get into cell towers like

5:54

you're better off just doing a Ryan

5:55

Reynolds and you know making a

5:57

mintmobile creating your own branding to

5:59

attract customers and then licensing

6:01

T-Mobile bands uh and so T-Mobile gets

6:04

more business and you're picking up

6:06

people who aren't willing to pay

6:07

T-Mobile fees I think at T-Mobile you

6:09

pay maybe 35 40 bucks a month you almost

6:11

get the same thing at mint for 25 or 15

6:14

a month this sounds like an ad for mint

6:16

I use mint I also use T-Mobile I use

6:17

both I think they're great I use Verizon

6:19

I use AT&T I use all of them I hate

6:20

Verizon Verizon sucks although they have

6:23

better service than AT&T in my area

6:24

anyway my point is of course you're

6:27

going to have an oligopoly in in AI as

6:29

well so I just wonder like is some of

6:31

this data that we're getting here uh

6:33

indicative of this beginning to happen I

6:35

I I don't know you like I'm not short

6:37

any AI you know I'm not trying to like

6:39

pump a book here or whatever I think by

6:41

now many of many of you hopefully my my

6:44

my biggest fans or subscribers I

6:46

appreciate you so much not necessarily

6:48

the loudest people complaining at me in

6:50

the comments but I just want to thank

6:51

you and appreciate you know that like I

6:53

want you to always know that I'm just

6:55

going to give you these these facts and

6:57

the data that I see even if it's unpop

7:00

talking down AI right now is extremely

7:02

unpopular and I'm going to get a lot of

7:04

hate for it I just always like to bring

7:06

a realistic Outlook I do the same thing

7:07

in real estate and my other businesses

7:09

you know house haack's kicking butt uh

7:11

we'll have uh I think we've got a big

7:12

house Haack update coming next Wednesday

7:14

so stay tuned mark your calendar for

7:16

that it's going to be huge but anyway uh

7:19

Taiwan exports fell 5.1% month over

7:22

Monon seasonally adjusted pulling back

7:24

from a sharp rebound of 88.2% in the

7:26

prior month so you had a really big

7:28

August so it's possible this is some

7:30

normalization but the outcome was even

7:33

worse uh than uh was weaker than our

7:36

below consensus forecast so in other

7:38

words Goldman had a forecast which was

7:40

below consensus and the outcome was even

7:43

worse than what Goldman Sachs was

7:45

predicting exports fell sharply across

7:48

most major products especially AI

7:51

related products this is a big red flag

7:54

here this is not good AI related

7:56

products fell 18.6

7:59

% out of Taiwan uh so now this is

8:02

important to to note because when they

8:04

show you the charts they don't just

8:05

specifically show you air related so AI

8:08

related products down 18.6%

8:10

month-over-month seasonally adjusted I'm

8:12

just going to write that down as sort of

8:14

one of the little takeaways here by

8:16

destination uh us uh fell 23.8% month

8:21

over month seasonally adjusted largest

8:22

drop since

8:24

2015 so those are two really important

8:27

data point takeaways right there so far

8:30

so the US getting really hit in

8:32

reflection of the sharp declines in AI

8:34

related exports the losses were

8:36

partially out offset by gains in Japan

8:39

Emerging Markets South Korea was

8:41

mentioned in here but look at these

8:43

numbers here uh the Bloomberg consensus

8:45

for September exports was 10.9% Goldman

8:49

was at 99.9% and the previous

8:51

year-over-year was 16.8 well you

8:53

actually got a read of just

8:56

4.5% so the numberers still positive and

8:59

when you go over to the Tyran you know

9:01

news source over here you you'll see

9:04

they still accurately mention the

9:06

positive news here on uh on on you know

9:10

growth it's true it's another month of

9:12

growth but the problem is not that

9:14

there's growth or

9:15

contraction the problem is actually that

9:18

that growth rate has just collapsed well

9:21

further than the collapse that was

9:22

already expected you know Bloomberg was

9:24

expecting roughly 11% right here down

9:27

from the 16.8% last year growth rate

9:30

well now it's just down to

9:33

42% this is a shockingly small number

9:37

here this is not great keep in mind that

9:39

as part of the exports in information

9:42

communication AV products AI is lumped

9:45

into that so sometimes you'll see charts

9:47

on exports of it Comm and and Audi

9:50

visual equipment stuff AI is only at one

9:52

like one4 of that so it's it's really

9:55

difficult to sort of look at charts on

9:56

this kind of stuff but basically it's

9:58

bad and uh it reverses about uh 3 months

10:02

of modest gains in the uh AI exports and

10:07

sequential momentum which is quarter to

10:09

quarter was also weak for other exports

10:12

after gains in the previous months with

10:14

machinery and commodity related exports

10:16

declining 7.8 and 7.1% respectively by

10:21

destination exports to the US plunged

10:24

23.8% sharpest drop since 2015 in a

10:27

reflection of the sharp declines in AI

10:28

related exports exports to Europe also

10:32

declined 12.4% after a strong Rebound in

10:34

the prior month again maybe this is you

10:38

know a way of saying hey you know things

10:40

are normalizing we can't always uh go to

10:43

the Moon uh and you know in alluded to

10:47

that as well they had a report on this

10:49

and they mentioned here that hey you

10:50

know perhaps this is just a

10:52

normalization after this really big beat

10:54

in August and that's entirely possible

10:57

but they say that you know they we're

10:59

expecting some of the acceleration of

11:01

demand in August to translate to

11:04

September and so far it didn't look like

11:06

it had so I find this interesting and to

11:09

me it it it is somewhat you know it's

11:13

something I want to pay attention to

11:14

like I don't want to go as far as

11:15

calling this concerning yet but I do

11:18

think that a lot of our economy is

11:20

propped up on artificial intelligence

11:21

capex spend and one of the downsides of

11:24

that is when you have a jobs report that

11:27

tells you your household job increased

11:30

by 785,000 jobs and it was all

11:33

government workers uh and absent the

11:36

government workers the unemployment rate

11:37

would have

11:38

skyrocketed uh by 4% which could have

11:42

potentially triggered us going into

11:43

recession you know on a definitional

11:46

basis since it's possible we already are

11:48

well you know then all of a sudden I get

11:49

a little nervous uh because it you know

11:52

I start I I do I really want to be

11:55

bullish I I want everybody to know that

11:57

I really I think it it should be crystal

12:00

clear I want to be that person that

12:02

every single day is just like by the dip

12:05

let's go I love this but In fairness to

12:08

those of you who watch my channel and

12:11

those of you who you know come to me for

12:13

information maybe you're not hearing

12:14

from anywhere else I I just I have to I

12:17

have to have to have to keep being as uh

12:20

transparent as possible with my feelings

12:22

and and I just don't feel good about

12:24

where valuations are right now now don't

12:26

get me wrong Nvidia is decent right now

12:28

unless obviously grow collapses Nvidia

12:30

is only sitting at a 1.9 Peg it's way

12:32

cheaper than like a Tesla or paler which

12:34

I've definitely been running uh but

12:37

really if you have not looked at it yet

12:39

please please please take the time look

12:40

at table alpha 8 on the last BLS labor

12:44

report and I really want you to pay

12:46

attention to this seasonally adjusted

12:48

number of government workers here all of

12:51

a sudden we're up supposedly 785,000

12:54

government workers on a seasonally

12:56

adjusted household number which is what

12:58

the unemployment rate is based on this

13:00

seems cooky dooky to me uh that uh that

13:04

this this could be true private payrolls

13:06

uh increased by what do we increased by

13:09

on private payrolls we did have an

13:11

increase in seasonally adjusted

13:12

household private payrolls which is good

13:14

it was about

13:16

133,000 which sounds more

13:19

appropriate uh but you did also then

13:21

have a decline of over

13:24

200,000 in the self-employed workers so

13:28

if you're counting as employed as

13:29

self-employed and let's say maybe you

13:31

did get a job so you count it over here

13:33

you actually had a loss of private

13:35

payrolls there uh so really the way you

13:37

could see that is you go non a right

13:39

here and you could go okay we're at uh

13:43

159

13:45

635 minus out the 785 government workers

13:50

you're at 158 850 jobs compare that to

13:54

the prior month of

13:55

159 108 you actually lost

14:00

258,000

14:01

jobs in the uh you know in the combined

14:06

self-employed and private sector you're

14:08

minus

14:10

258,000 if it wasn't for that big

14:13

$785,000 or 500 785,000 boost that we

14:18

got from government workers just

14:20

seasonally adjusted it already accounts

14:22

for the you know like removing teachers

14:25

that are just going back to work wasn't

14:26

for that be nasty

14:29

you know add to that the increase we're

14:31

seeing in the number of people uh you

14:33

know working multiple jobs or the number

14:35

of unemployed 27 weeks or over which is

14:37

a number that generally only Rises and

14:40

rose again in the last payrolls report

14:42

uh the September report was up again I

14:45

mean you were uh almost 100,000 97,000

14:49

more people unemployed 27 weeks or more

14:52

which means now theyve fallen off the

14:54

ability to apply for unemployment

14:55

insurance and they're just not

14:56

considered like unemployed anymore which

14:58

is crazy as that number goes up you're

15:01

often usually in recession right so all

15:03

these things coming together I don't

15:06

think they necessarily say everything is

15:08

going to collapse tomorrow but without a

15:11

doubt they're a warning sign and they're

15:13

a sign that I want to pay attention to

15:15

anyway uh big video coming next

15:17

Wednesday I hope you mark your calendar

15:19

for it uh it's it's going to be a huge

15:22

uh investment video uh that I'm making

15:24

so a huge investment uh coming uh next

15:27

Wednesday as well well as uh updates on

15:30

other aspects of uh of businesses house

15:33

act like a lot of basically news I've

15:35

got posting on uh next Wednesday so I'm

15:37

excited to talk about that anyway um

15:39

thank you so much for watching if you

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want to get 75 free fractional shares by

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and folks we'll see you in the next one

16:08

thanks so much for being here and we'll

16:09

see you soon goodbye and good luck why

16:11

not advertise these things that you told

16:12

us here I feel like nobody else knows

16:14

about this we we'll try a little

16:15

advertising and see how it goes

16:17

congratulations man you have done so

16:18

much people love you people look up to

16:20

you Kevin P there financial analyst and

16:22

YouTuber meet Kevin always great to get

16:24

your

16:25

take even though I'm a licensed

16:27

financial adviser licensed real estate

16:28

broker and becoming a stock broker this

16:30

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16:32

it is not tax legal or otherwise

16:33

personalized advice tailored to you this

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video provides generalized perspective

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party content I show shall not be deemed

16:40

endorsed by me this video is not and

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shall never be deemed reasonably

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sufficient information for the purposes

16:45

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16:47

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personally operate an actively managed

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ETF I may personally hold or otherwise

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hold long or short positions in various

16:58

securities potentially including those

17:00

mentioned in this video however I have

17:01

no relationship to any issuer other than

17:03

house act nor am I presently acting as a

17:05

market maker make sure if you're

17:06

considering investing in house Haack to

17:08

always read the PPM at house.com

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