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These AI Stocks are About to *Explode* | ChatGPT.

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0:00

AI in the AI World you've got now Google

0:03

announcing the release of the chat GPT

0:07

competitor named Bard that'll apparently

0:10

be ready in coming weeks keep in mind

0:12

Google has been working on language

0:14

learning for a substantial amount of

0:17

time and one of the easiest ways you

0:18

could see that is if you ever use Gmail

0:20

and you're typing in Gmail you can

0:22

actually see the AI try to pre-fill in

0:24

your email for you in terms of hey just

0:26

press Tab and it'll pre-fill what we

0:28

think you're going to say next

0:30

there were reports that this Google

0:32

email generator could basically write

0:34

the whole email for you but they were

0:36

worried that if they showed how powerful

0:37

the Google AI chat was that people would

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get freaked out this also comes after an

0:43

individual developer who worked on uh

0:46

Lambda which is the internal uh project

0:49

name for Google's artificial

0:51

intelligence Lambda standing for

0:53

language model Google developed uh yeah

0:57

AI basically Lambda anyway this uh there

1:01

was a particular developer who was

1:03

working on the project who leaked that

1:05

he worried the AI was so powerful that

1:08

it had actually become sentient now that

1:11

is kind of like your worst case scenario

1:14

if you've ever watched the movie iRobot

1:16

or if you've got any kind of fears about

1:17

robots taking over the world you don't

1:20

want to hear that robots or any kind of

1:22

artificial intelligence is becoming

1:23

sentient because it sends the signal

1:25

that they can think on their own is what

1:28

sentin means so that's that's it's uh

1:30

that'll be quite interesting to see how

1:32

Chachi PT compares to Google's Bard I

1:36

did think the name Bard was kind of lame

1:38

they could have come up with something a

1:39

lot cooler I kind of think of a Bard as

1:42

like going back into like Oblivion Elder

1:44

Scroll or something like really like I

1:46

don't know maybe even like a uh oh gosh

1:49

what was um what's the game called ever

1:51

EverQuest you know it'll run around as I

1:53

I don't know it just seems like an old

1:55

school kind of name so I'm not a big fan

1:57

of Bard uh but it's probably still

2:00

better than baidu's announcement their

2:03

bot is called Ernie

2:05

and their their stock was up like 13 on

2:08

the idea that they're also coming out

2:09

with some kind of AI chat bot baidu's

2:11

the Chinese one of the largest internet

2:13

companies in the world it's basically

2:15

the Chinese search engine it's kind of

2:16

like think of it like Chinese Google but

2:18

anyway so you've got Google coming out

2:19

with a competitor named Bard you've got

2:21

Baidu coming out with Ernie and you

2:23

still got chat GPT which is very

2:26

annoying to pronounce and I always want

2:27

to call it chat gbd but but anyway

2:30

I don't know it all seems crazy uh the

2:33

good news is the beneficiary out of all

2:35

of this is the consumer because it

2:38

should make search a whole lot more

2:40

functional especially if we can

2:42

incorporate like Microsoft is trying to

2:44

do chat GPT into Bing now that would be

2:47

pretty neat now if you can incorporate

2:49

chat GPT into Bing oh boy you can

2:53

actually make Bing a functional search

2:55

engine because right now it just doesn't

2:58

seem that great at all just my take I

3:01

mean maybe I'm being a little aggressive

3:02

here but just my take now a lot of folks

3:06

are are uh you know rightfully so

3:08

wondering hey you know what's a way to

3:10

get exposure to uh companies uh that

3:14

invest in this sort of AI technology how

3:16

can I get myself some some stock in this

3:19

AI uh and I frequently looked at

3:22

Microsoft as a potential opportunity for

3:24

that but one of the concerns that I have

3:25

is you have a relatively small exposure

3:27

uh to chat GPT and Microsoft mostly

3:31

because of the size of Microsoft so it's

3:34

really going to be dependent on what

3:35

Microsoft can do with this think about

3:37

it a 10 billion dollar investment into

3:40

chat GPT by Microsoft really represents

3:44

uh somewhere around let's see it's a 1.9

3:46

billion dollar company you're talking

3:48

about less than half of of one percent

3:50

basically going into uh this uh this

3:54

this particular company and it's it's

3:55

about one half of one percent so for

3:57

example every 100 you put into Microsoft

3:59

stock about 50 cents would go into chat

4:02

GPT and this has really led me to the

4:05

idea that I probably don't want to be

4:08

the person who's investing directly into

4:11

Google for the sake of getting exposure

4:13

to their AI or Baidu for the sake of

4:15

getting exposure to their AI or

4:16

Microsoft for the sake of getting

4:18

exposure to chat GPT I'd almost rather

4:21

invest in sort of the backbone

4:23

architecture I've talked about this

4:25

before so I don't want to seem redundant

4:26

but I'm a big fan of investing in Champs

4:30

and I really believe like the Wall

4:32

Street Journal says that chips are

4:34

probably the next gold now and that over

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the next decade we'll see chips

4:38

essentially be uh sort of like the next

4:42

gold rush in America and in countries

4:44

throughout the world whether it's Europe

4:46

fighting for more chip manufacturing

4:48

which new factories are being built in

4:50

Europe you've got like an example for

4:52

example the Taiwan semiconductors is

4:54

building a factory I believe it's in

4:55

Germany it's somewhere in Europe I

4:56

believe it's in Germany to manufacture

4:58

Automotive chips like 20 to 28 nanometer

5:01

chips you've got uh multiple plants

5:04

being built in Arizona and massive

5:06

expansions coming to Taiwan

5:08

semiconductors plants in Arizona you've

5:10

got Intel potentially spending up to 100

5:12

billion dollars investing in chips just

5:15

in the Ohio region and and various areas

5:18

throughout America I mean you've got the

5:20

amount of money that you have flowing

5:21

into this is absolutely insane this is a

5:24

piece by The Wall Street Journal and uh

5:26

this is their current estimate I mean

5:28

there could be more announcements all

5:30

already but just based on projects

5:32

announced the Wall Street Journal sees

5:36

U.S semiconductor investments in the

5:37

next 10 years sitting at 186 billion

5:41

dollars that's just the United States

5:42

that's not even Global that represents

5:45

about the cost of around 29 billion

5:48

dollar gigafactories from Tesla so

5:50

putting that uh that sort of into

5:52

perspective it's it's pretty massive and

5:54

so that's where when I'm generally

5:57

thinking about AI exposure stocks I

6:00

think to myself boy uh you're the more

6:03

powerful AI gets the more powerful

6:06

compute processes you're going to

6:08

require and the companies that provide

6:11

that are your sort of picks and shovel

6:14

style companies which are all the way at

6:17

the beginning you can think about glass

6:19

manufacturers uh you could think about

6:21

uh chip manufacturing equipment

6:25

companies so uh for example you could

6:27

think of uh uh Carl Carl device for

6:31

lenses these folks stick a lot a lot of

6:34

money into glass and mirror production

6:37

that goes into the actual chip equipment

6:40

manufacturing with companies like asml

6:43

which has over a 90 market share for

6:45

advanced chip manufacturing then you

6:47

look at companies like uh Taiwan

6:50

semiconductors that buys a ton of these

6:52

chips Apple in their earnings call

6:54

bragging about how happy they expect to

6:57

be the major customer for Taiwan

6:59

semiconductors in for their Arizona

7:02

plant this is Apple bragging about

7:05

Taiwan semiconductors in their earnings

7:07

call that's actually pretty impressive

7:09

usually you don't actually see that take

7:11

a look at this right here at the bottom

7:13

of the earnings call what do you have uh

7:16

here it is uh I we don't know exactly at

7:19

this point what that'll be this happens

7:20

to be a production and chips Act and the

7:23

impact of that but we're all in in terms

7:26

of being the largest customer for Taiwan

7:28

semiconductors in Arizona and very very

7:30

proud to take part in that and Apple's

7:33

bragging about Taiwan semiconductors

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right

7:36

so and then of course after you look at

7:38

chip manufacturers or chip manufacturing

7:40

equipment you want to look at chip

7:41

designers who are your big chip

7:43

designers well obviously uh Nvidia AMD

7:46

massive chip designers qualcomm's got a

7:48

little bit more exposure to sort of 5G

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and mobile as opposed to maybe server

7:53

and data center like you might see at

7:55

AMD or Nvidia then you could look at a

7:58

company uh like like Intel who's gotten

8:01

completely rid of their memory Division

8:03

and they're essentially trying to

8:04

deprecate their PC Division and get into

8:07

really uh Enterprise and and servers uh

8:10

and and Intel potentially looking at uh

8:12

looking like a company that's just uh

8:14

potentially as uh as inexpensive as AMD

8:17

both of those selling for a relatively

8:19

low valuation whereas Taiwan

8:20

semiconductors in Nvidia selling a

8:22

little bit more expensively but the

8:24

amount of money that Intel expects to

8:26

invest in in Ohio is is insane and

8:28

they're either going to spend that money

8:29

and they're going to win or they'll go

8:31

bankrupt because they're a company that

8:33

has failed to adapt a lot of people get

8:34

frustrated when I mention AMD because or

8:36

when I mentioned Intel because they

8:38

think of Intel as sort of this Legacy

8:39

company that won't be able to adapt yet

8:42

what I think is so smart about what

8:44

Intel is doing is they're actually

8:47

building their manufacturing Fabs uh

8:49

fabrication plants to be agnostic of

8:52

what kind of chip architecture you're

8:54

using now if you're unfamiliar with that

8:56

there are basically Three core chip

8:58

architectures uh they're uh and one is

9:01

sort of Under the Umbrella of the other

9:02

but for the sake of argument we'll just

9:04

separate it out here so you have x86

9:06

which is really the Intel based chip

9:10

architecture then you have arm which is

9:13

a a risk machine that's actually what

9:16

the RM stands for and risk is a type of

9:20

Chip architecture and then there's risk

9:22

five which is more of your open source

9:24

version of risk which these are very

9:26

similar to each other arm is deemed to

9:28

be very good from mobile this deemed to

9:30

be better for Enterprise maybe and and a

9:33

PC at the moment but then again you've

9:34

got each side trying to interview to be

9:37

the best chip architecture but what

9:39

Intel is saying is look we don't care

9:42

what architecture you use we just want

9:44

you to hire us to make your chips and

9:47

this is why they're getting contracts

9:48

with the Department of Defense this is

9:50

why they're investing 100 billion

9:52

dollars into new Fabs in America because

9:54

they don't care if you want x86 chips

9:57

risk five chips or arm chips they don't

9:59

care what kind of architecture you want

10:01

they just want to make your chips and so

10:03

I I see Intel as potentially a decent

10:05

play over the next decade as long as

10:08

they can actually Garner uh that uh that

10:12

that manufacturing prowess now

10:13

interestingly Intel right now

10:15

manufacture some of their trips with

10:17

Taiwan semiconductors and so they are

10:19

really calling up asml to trying to get

10:22

to try to get as many of the new

10:24

ultraviolet uh machines that they can

10:27

get uh their lithography machines so

10:29

they too can manufacture Advanced chips

10:31

three nanometers four nanometers you

10:33

know by the end of the decade we'll

10:34

probably be down to one or two

10:36

nanometers by the middle of the next

10:38

decade we may be at half a nanometer and

10:40

at some point it's just going to come

10:41

down to uh not this transistor size

10:44

which is what nanometer measures uh

10:46

nanometers measure but rather uh just

10:48

who makes the most efficient chip and

10:50

that's where to Me Maybe rather than

10:52

investing in solely the designers you

10:54

also invest in the factories so again

10:56

that's where I think Intel tsmc but then

10:58

I also think Nvidia Apple uh and AMD is

11:02

your designers so so that's sort of my

11:05

take I'd rather be investing in that

11:07

segment than solely be dumping my money

11:09

into Microsoft and Google who are

11:11

substantially more exposed to the ad

11:12

business so those are some of my

11:14

thoughts although you're seeing

11:15

substantial Investments go into machine

11:18

learning and and potential uh future

11:21

uses uh at Facebook as well uh obviously

11:25

at divisions within apple as well so a

11:28

lot of great opportunities to invest in

11:30

artificial intelligence but I'm afraid

11:31

to just run into certain companies

11:34

solely because they say oh hey we we

11:37

have ai we don't want to stay away from

11:39

that so uh that's uh yeah asml

11:42

absolutely I see you in the comments

11:43

here yeah we've been talking about asml

11:45

asml has a an over 90 market share of

11:48

the advanced lithography uh device for

11:52

manufacturing these uh now they are

11:54

actually banned from selling their

11:57

newest model of advanced chip making

11:59

equipment to China China is obviously

12:02

very pissed about this asml is able to

12:04

sell their older generation lithography

12:07

devices to China which which they do and

12:09

they sell a lot of them to China but

12:11

China's like well we want the new stuff

12:12

too and now part of this is obviously

12:14

because uh China and the United States

12:16

have a lot of geopolitical tensions not

12:18

only do they have those tensions now but

12:19

they've had those tensions in the past

12:20

before China for example stole the plans

12:23

for our F-35 fighter jet and then a few

12:26

years later ended up announcing and

12:27

releasing a jet that was pretty damn

12:29

similar to our F-35 which is really

12:31

frustrating and annoying because it's

12:32

like hey you really are hacking our

12:34

stuff they've hacked into travel logs at

12:36

Marriott they've hacked into our Health

12:38

Care Systems China's really good at

12:41

basically trying to steal our stuff now

12:43

In fairness to try to catch up and some

12:45

might make the economic argument that

12:47

hey you know what maybe uh maybe that's

12:49

a good thing because it forces both

12:50

sides to innovate more but I I I don't

12:53

think anyone getting hacked by China is

12:55

necessarily something that we want to

12:57

even remotely suggest is a good thing

12:59

but these are definitely some of the

13:00

plays that I'm curious about now I'm

13:02

less curious about companies like uh

13:05

like for example Pinterest Pinterest was

13:07

absolutely like I look Pinterest is a

13:10

style of search engine so some people

13:12

say hey what about Pinterest for AI

13:14

right could could there potentially be

13:16

an opportunity in in search within

13:19

Pinterest to basically lead people to

13:21

spend money

13:22

and I hate to say it but Pinterest

13:24

scares me uh the reason Pinterest scares

13:27

me is I took a very brief look at their

13:29

earnings presentation and look at this

13:32

they grew Revenue by about 3.6 year over

13:35

year but they grew sales and marketing

13:37

by 66

13:40

in my opinion this is a way that you're

13:43

basically showing that the company has

13:46

no way of

13:48

any kind of operating leverage they have

13:51

no operated leverage operating Leverage

13:53

is where your Opex can stay stable but

13:55

you can actually grow your Revenue

13:57

that's what operating Leverage is well

13:59

this company has the opposite of

14:00

operating leverage basically to maintain

14:03

their revenue at near flat they had to

14:05

increase their sales and marketing 66

14:07

that's scary that doesn't send a good

14:10

signal to me now the company initially

14:12

dropped pretty decently after earnings

14:14

but it's since recovered uh it's

14:16

actually almost completely recovered to

14:17

about flattened the pre-market maybe

14:19

down as much as one percent but that's

14:20

not a big deal it initially fell over 2

14:22

ten percent and I think what's happening

14:24

in the market is you're getting a lot of

14:26

earnings that are happening and then the

14:28

earnings come out and companies or

14:30

investors rather institutions whatever

14:32

like oh that's not as bad as we thought

14:35

it was but it's still bad when you

14:39

actually look at the numbers relative to

14:41

other companies so I don't know for me I

14:44

stay away from things like Pinterest I

14:47

want chips that's what I want that's

14:49

where I think the big peepee is in chips

14:51

and Chip manufacturing and the beauty is

14:54

we're actually going through sort of

14:56

this chip trough right now where

14:58

everybody's ranting about how uh chips

15:01

are an oversupply and PC uh sales year

15:04

over year down 32 percent and everyone's

15:07

missing this is true Revenue has been

15:09

missing Taiwan semiconductors Samsung uh

15:12

AMD the numbers have been coming down

15:15

the stocks have actually been going up

15:16

though because the numbers aren't that

15:18

bad and these are amazing companies for

15:21

the next decade we just sort of have to

15:23

get through that sort of covid uh trough

15:25

if you will the postcova trough uh and

15:28

and for me I I can't see pricing power

15:31

anywhere else like I don't care what

15:32

software company you are you need chips

15:34

you need compute power and that compute

15:36

power is going to get more and more

15:38

powerful over time not only is that

15:40

compute power going to get more and more

15:41

powerful over time but the demand for

15:44

that computing power is going to get

15:45

more and more powerful uh you know I I

15:47

always run into this idea and this

15:49

challenge that at some point things will

15:51

just be good enough uh and maybe we

15:53

don't need a new iPhone every single

15:54

year right which we could make that

15:56

argument but boy oh boy you look back a

15:59

few Generations you look you go back

16:01

maybe three years on Apple laptops or

16:03

even computer regular PCS or iPhones

16:05

you're like it just can't run the stuff

16:07

as well as it used to or at least this

16:09

what it feels like and often this is

16:11

because we're getting more and more

16:12

intensive uh uh applications that demand

16:16

more and more compute power in terms of

16:19

what we're able to do the way we're able

16:20

to collaborate with other individuals

16:22

it's phenomenal there's so much

16:24

potential and so so excited about what's

16:27

to come especially I mean think about

16:28

the transition even to augmented reality

16:31

now a lot of people are like Gavin

16:34

augmented reality is BS virtual reality

16:37

is like what you the headset you buy for

16:39

Christmas and you use it you know one or

16:41

two days in a row and then you never use

16:42

it again yes fact true but eventually

16:45

augmented reality and virtual reality

16:47

actually won't give you a headache and

16:49

it actually won't suck and boy I can't

16:53

even imagine the kind of compute power

16:54

that we'll need for 360 Degree uh

16:58

actually quality uh virtual reality

17:01

relative to what what we deal with today

17:03

uh it's uh it's going to be pretty dang

17:06

impressive and it's going to require a

17:08

lot of compute power and of course

17:10

that's where you could also invest in

17:11

batteries because batteries will become

17:13

even more important as well so uh and

17:15

that's that's exactly why you know

17:17

almost as if On Cue you have uh Mr Steve

17:20

over here suggesting lithium explorers

17:22

have been running like crazy 50 moves in

17:25

one day and shouts out multiple

17:27

different nickel plays here like SPC fni

17:30

and ICU and copper plays like f d t and

17:34

ATX you know the interesting thing about

17:37

the Explorers is you're kind it to me

17:39

it's almost like you're you're betting

17:41

on gold explorers like oh I I hope the

17:43

person I bet on finds gold and then when

17:46

they don't they go bankrupt you know

17:47

it's like oh dear uh okay is there is

17:50

there a particular pickaxe for lithium

17:53

uh that's that's whom I want to invest

17:55

in or just invest in the battery uh

17:58

assemblers whether that's Panasonic or

18:00

even battery storage companies like

18:02

Tesla and phase Generac solar Edge uh

18:07

you know that that might be a way to uh

18:10

invest uh in that but then again you

18:12

know look even uh even Energizer I don't

18:15

think anybody's ever considered looking

18:16

at the Energizer earnings report but I

18:18

did uh and uh even energizers

18:20

complaining about higher costs for

18:22

nickel and lithium and how it's

18:23

impacting their margins so you know all

18:26

these battery manufacturers even though

18:28

they can put batteries together it

18:30

doesn't necessarily mean uh they're

18:32

going to be profitable putting their

18:33

batteries together so uh you know

18:35

something to keep in mind all right

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