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The ChatGPT & AI Revolution will Destroy 40% of Jobs | Prepare.

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now we gotta talk about artificial

0:03

intelligence generative AI what it could

0:06

potentially do to the jobs Market is it

0:09

an inflationary impetus is it

0:12

disinflationary what companies might

0:14

benefit and what are some fears that are

0:17

circulating because I'll tell you Elon

0:19

Musk along with 1100 Engineers yesterday

0:24

signed an open letter calling for a

0:27

six-month pause on any kind of

0:30

artificial intelligence that is stronger

0:33

than chat GPT 4 level strength

0:38

now I tweeted about this of course I

0:42

feel like when I tweet logic it's not as

0:44

sort of like viral as if you tweet

0:47

something that's more emotion based but

0:49

I do it anyway because I like to share

0:51

what I think is logical input uh and

0:54

hopefully you like following for that

0:56

and so I shared this I said 1100

0:59

engineers in Elon Musk signed an open

1:00

letter demanding any artificial

1:03

intelligence development stronger than

1:05

Chachi pt4 pause for six months based on

1:10

this scientific Game Theory I just drew

1:12

it looks like your choices as a company

1:15

are pause and have a 50 chance of dying

1:19

or don't pause and have a 50 likelihood

1:22

of dying

1:24

looks like you're screwed either way in

1:27

other words

1:28

in a game theory example in my opinion

1:31

it makes absolutely zero sense for any

1:34

company to actually pause their

1:36

artificial intelligence research because

1:39

think about it if both companies pause

1:42

what do you get well you get a

1:44

stagnation right defined by PP both a

1:48

company's pause get a stagnation

1:49

everybody loses the potential benefit is

1:53

hey hey maybe we could regulate Ai and

1:55

the world doesn't end right because the

1:57

idea if that if both companies or all

2:00

companies don't pause then maybe the

2:02

world ends because robots and AI take

2:03

over the world

2:05

all right whatever that sort of this

2:07

extreme argument right now but the more

2:10

likelihood is that some companies pause

2:12

and some don't and in that case the

2:15

companies that don't pause win the

2:17

companies that do pause die so basically

2:20

by pausing you're signing up for killing

2:23

your company and if both companies don't

2:25

pause you're basically signing up for

2:27

killing your companies so the best

2:29

answer is everybody pauses for the

2:31

likelihood of everybody doing that is

2:33

basically zero it's a classic prisoner's

2:36

dilemma scenario so without going into

2:39

the details of exactly what that is I

2:41

think the bottom line is simple when it

2:43

comes to Elon musk's letter it's a nice

2:45

way to suggest hey can everybody please

2:48

put their swords down for a moment while

2:50

everybody else catches up and in public

2:54

people will be like yeah yeah yeah yeah

2:56

yeah sounds like a great idea I think

2:58

private everybody's gonna like keep

3:00

going man keep going

3:02

the world don't work like that it's way

3:04

too competitive way too competitive hell

3:07

i'll say it if everybody else pauses

3:10

I'll jump in and I'll start developing

3:14

although I have developers I've worked

3:16

with it

3:17

so maybe I'm one of those not posers

3:20

but anyway we gotta look at this Goldman

3:22

Sachs piece let's take a look at this

3:26

all right what do we got here generative

3:29

AI laying out the investment framework

3:32

we're going to be going into some

3:33

specific stocks as well but listen to

3:35

this generative AI further unlocks value

3:38

as it extends the utility created by AI

3:42

or software providing new tools for

3:44

enhancing end user productivity now I

3:48

have to say I've been playing with

3:50

generative Ai and one of the things

3:52

about AI is that we've regularly been

3:55

saying oh well ai's not going to uh

3:59

remove like creatives right there's

4:01

there's no way artificial intelligence

4:03

is going to affect creative people so as

4:06

long as you're creative you're good

4:07

right

4:09

I don't know about that uh just because

4:12

I mean you can now feed into an AI hey

4:15

AI design me an app and even though some

4:18

of these AIS they're not really good

4:19

about putting text on yet in terms of

4:22

actually giving you inspiration for

4:24

layouts look at this

4:25

I put into an AI generator give me a

4:28

real estate investing app

4:31

and this is what it came up with I have

4:34

to say for 30 seconds of work

4:38

it's kind of cool it gives you

4:40

inspiration for buttons and colors and

4:43

gradients and style uh in the future

4:47

we'll be able to just hit export and

4:49

you'll get the code for it and then you

4:51

can adjust you know the text and all the

4:52

little funky miscellaneous stuff

4:54

generative AI is is pretty impressive I

4:57

mean to the point where Max is like Dad

4:59

can you draw a ball with eyes coming out

5:03

of a box and glasses uh and and like a

5:07

little character and uh the AI gave me

5:10

four different choices and I was blown

5:13

away I mean look at this within like 30

5:15

seconds look what I get this is insane

5:17

this is really good I mean like I can't

5:21

draw that in 30 seconds and that looks

5:23

phenomenal I mean how long would it take

5:25

a creative to actually design this stuff

5:28

two hours three hours I don't know even

5:31

if somebody's really good an hour I took

5:34

this off for 30 seconds and if you can

5:36

now export all these elements in the

5:39

future to photoshop and then or or

5:41

whatever some kind of uh you know

5:42

software After Effects whatever and

5:44

start animating this or playing with

5:46

this boy

5:47

I mean I thought creatives would be safe

5:50

from AI generative AI is pretty dang

5:54

impressive everybody's at risk but

5:56

anyway how do we make money off of it

5:58

well that's why we're talking about

5:59

Goldman Sachs so generative AI is about

6:02

generating stuff like we just did we

6:04

estimate that generative AI software has

6:07

a total addressable Market of 150

6:10

billion dollars versus the total

6:13

software industry of

6:15

685 billion dollars no it's not stable

6:18

diffusion it's my secret uh but listen

6:21

to that that is 150 that's 22 of the

6:26

entire total addressable market for

6:28

software could be literally generative

6:31

AI but you know what the beautiful thing

6:34

about generative AI is is it isn't even

6:36

processing on my computer tutor I did

6:39

that on an iPhone why did I do it on an

6:42

iPhone because it didn't use my iPhone's

6:45

graphics cards it used a server

6:48

somewhere to do all the artificial

6:50

intelligence work and then beam over an

6:52

end product to me people made fun of me

6:55

for in my active

6:57

ETF you could learn more about by going

6:58

to meet kevin.com people made fun of me

7:01

they're like oh Kevin uh you're too

7:03

heavy on chips and I'm like are you

7:06

kidding me have you ever in your life

7:07

used a backbone controller for a cell

7:11

phone have you ever used generative Ai

7:14

and do you understand what where the

7:18

video processing is done maybe not well

7:20

I'll explain not on your phone

7:23

so this right here is a backbone

7:25

controller it's pretty cool you can put

7:28

your uh phone into it and look I'm not a

7:31

game review Channel over here but the

7:33

the point is just to say that this

7:36

basically turns into a gaming controller

7:40

just like this and it's a backbone you

7:44

know a little controller or whatever it

7:45

is over here and the cool thing about

7:47

this is I don't actually use the

7:51

processors for gaming in my phone I can

7:55

stream them through xbox.com and

8:00

basically have a a virtual gaming

8:03

machine that I could stream through on

8:05

here now yeah you should have a low

8:07

latency internet connection uh but

8:10

fortunately I got fiber over here so it

8:12

works very well but I basically have an

8:15

Xbox in my pocket and when I travel if I

8:17

want to do anything I got a whole Xbox

8:19

with all the games I could want in my

8:21

pocket now I rarely use it I generally

8:22

give it to the kids but the point is I

8:25

just gave you a few examples here of how

8:27

generative AI

8:29

could be really incredible not only can

8:31

you generate characters and then animate

8:33

them for video games or you could

8:34

generate app ideas but all of this is

8:37

being processed not by your devices but

8:40

by other devices that's a huge Boon in

8:43

my opinion to the chips industry because

8:45

who's processing it data centers and

8:48

servers anyway Goldman Sachs has some uh

8:51

ideas in terms of how some companies

8:53

could benefit and so let's uh let's take

8:55

a look at that

8:56

uh all right so we raise as a result of

8:59

this piece here we raise our price

9:01

targets ten dollars on Microsoft

9:04

Salesforce five dollars Adobe five

9:07

dollars oh it's one of the ones I have

9:08

exposure to uh to incorporate higher

9:11

outer year estimates to reflect our

9:14

conviction in the success slash adoption

9:17

of newly launched generative AI projects

9:20

it's pretty exciting co-pilot copilot by

9:23

the way is is a fantastic tool for

9:25

basically helping programmers code a lot

9:27

faster additionally we highlight

9:29

companies like Intel Google Amazon

9:32

Nvidia and meta as the company's best

9:35

position to succeed in the new AI driven

9:37

Paradigm this is pretty exciting so I

9:40

want to talk about this some more uh and

9:42

we'll go into some detail here uh as

9:44

well as some potential risk factors

9:45

we'll go into detail specifically on

9:47

these companies but uh take a look at

9:49

how this is starting to also change the

9:52

media narrative so look at this

9:55

generative AI this was on the front page

9:57

of the Wall Street Journal today

9:59

generative AI is already changing White

10:02

Collar work as we know it and they

10:04

basically have a whole piece talking

10:06

about how people are like oh gosh we are

10:09

actually going to see job loss from this

10:10

and they're talking about how companies

10:12

from Walmart to zip recruiter and Yelp

10:15

are already kind of basically plotting

10:16

how to use AI to take over the world

10:19

quite frankly I think at some point in

10:21

the future I think this is just like a

10:23

very realistic uh point of view I think

10:26

at some point in the future using Ai and

10:29

it could be now using AI versus not

10:32

using AI will be as Extreme as using a

10:36

computer versus not using a computer

10:38

like let me use a more relatable example

10:41

well at least to my generation uh if

10:45

somebody's like hey I'm gonna mail you

10:47

something or I'm going to fax you

10:48

something and you're like what the f why

10:51

don't you just email it okay that's kind

10:54

of the level of difference that I

10:56

project for AI and I think that every

10:59

company in the future will use AI it

11:02

will be as simple as saying we use email

11:05

in the future like of course you're

11:08

going to use AI then it's just going to

11:10

come down to which companies are going

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to be best positioned to use that most

11:14

effectively at my real estate startup

11:16

we're very excited about using it it's

11:18

still too early for us to let it make

11:20

decisions for us way too early for that

11:22

but we could definitely use it to to uh

11:25

to to Ping us of certain ideas uh or

11:30

Trends or deals so we really like that

11:32

that's already working it's pretty

11:34

incredible anyway let's keep going so

11:37

I've actually bought deals from my AI

11:40

already uh not for my real estate

11:42

startup but for myself a couple years

11:44

ago I was using the software I go

11:46

through the software I'm like oh damn

11:47

that is a really good deal

11:49

in it so like it still takes the human

11:52

element today but the potential is like

11:56

anyway so what do we got over here uh

11:59

monetization and enterprise software and

12:01

cloud computing just as cloud

12:03

hyperscalers like AWS Azure and Google

12:06

Cloud platform commercialized Cloud

12:08

infrastructure and platforms which in

12:10

turn accelerated the growth of software

12:12

Services businesses we believe that open

12:14

ai's chat GPT will drive adoption of

12:18

generative AI across software

12:20

Enterprises in this report we further

12:23

explore the opportunities for AI to be

12:26

integrated into the tech stacks of the

12:28

future by drawing an analogy between

12:30

cloud computing and an IT stack layered

12:33

with ai ai is expected to drive

12:35

significant productivity gains for the

12:37

economy they estimate potentially seven

12:41

trillion dollars of global economic

12:44

growth over a 10-year period with

12:46

productivity growing 1.5 percentage

12:48

points faster annually over the same

12:50

period in other words

12:52

AI could potentially expand our GDP

12:56

substantially faster than anybody is

12:59

expecting today now this is actually an

13:02

argument that the great Kathy Wood tells

13:05

us in fact when I was at dinner with

13:07

Kathy Wood she specifically like wanted

13:11

to drill home Kevin nobody knows what's

13:16

coming and it's not like it's a big

13:18

secret she talks about this herself as

13:19

well but the fact that it came up during

13:22

dinner just showed me her passion for

13:25

for this belief and we're seeing more

13:27

and more of this it's really really

13:28

incredible so uh we believe generative

13:32

AI can contribute a tam of 150 billion

13:35

to the global software Sac I agree uh

13:37

it's also there's an idea here uh that

13:40

maybe just maybe we can outgrow China uh

13:44

if we can have an edge on AI versus

13:47

allowing China to sort of catch up to

13:49

our GDP so to speak right uh and that's

13:53

really a suggestion of maybe the us

13:54

being able to insulate itself generative

13:57

AI tools have far-reaching implications

13:59

generative AIS enabling sales and

14:01

marketing teams to generate new content

14:03

devops engines to write faster code or

14:06

code faster knowledge workers to improve

14:09

day-to-day office efficiency and

14:11

scientists to develop drugs for rare

14:14

diseases and much more there are a lot

14:16

of actually really cool implications uh

14:18

with with artificial intelligence for

14:20

the healthcare industry being able to

14:22

even just diagnose patient ailments in a

14:26

way that doctors really haven't been is

14:28

phenomenal sometimes it takes going to a

14:31

doctor five six seven different times to

14:33

try to get a a conclusion to a certain

14:35

ailment whereas if uh you know an AI was

14:38

able to maybe just suggest a solution uh

14:41

there there could potentially uh be

14:43

faster medical care or more urgent care

14:47

in the case of indicators that may say

14:50

hey there could be something malignant

14:53

malignant happening so this is really

14:56

good for for health care as well

14:58

uh and keep this in mind too Chachi PT

15:01

is already reportedly replacing workers

15:04

I reported on this a few weeks ago but I

15:05

think it's a perfect place to reiterate

15:07

this before we go into a little bit more

15:08

of that analysis from Goldman Sachs on

15:11

which companies and and why uh companies

15:13

that reported using chat GPT to Resume

15:16

Builder said they use chat GPT 66 uh for

15:20

or sixty percent six percent of the

15:22

respondents said they used it for

15:23

writing code 58 for copywriting Content

15:26

57 for customer support 77 for writing

15:30

job descriptions actually for like

15:32

listing descriptions on the multiple

15:34

listing service for Airbnb well airbnbs

15:37

aren't on there but for like real estate

15:38

listings uh or Airbnb itself car rental

15:42

descriptions job descriptions basically

15:45

copywriters to some extent or or either

15:49

being aided by chat GPT or just replaced

15:53

at some point in the future kind of

15:54

scary time to be a copywriter because

15:57

essentially you could take a whole

15:58

document throw it into a an artificial

16:01

intelligence program go look for you

16:04

know run on sentences uh wordy sentences

16:08

not just spelling and grammar but

16:10

actually like more logic based problems

16:12

uh you know hey where where does this

16:15

not make sense where does the sentiment

16:17

stray these are some pretty incredible

16:19

prompts you can ask AI these days and

16:21

they're already doing a phenomenal job

16:23

out of uh 500 companies interviewed by

16:27

Resume Builder uh 250 companies half of

16:31

them said that chat EPT has already

16:34

replaced workers at the company how Wild

16:37

is that it comes at the same time as uh

16:39

multiple different uh companies and

16:41

Partnerships or are uh being expanded

16:44

upon you know you've got the um uh

16:46

Google you've got Google Partnerships

16:48

and Google duplex you've got uh Bard

16:51

over at Microsoft some really incredible

16:53

expansions uh and chat ept4 is

16:56

substantially more powerful than chat

16:58

GPT uh 3.5 already let's keep going here

17:02

so generative AI we talked about that we

17:04

expect incumbents a new wave of

17:07

innovation across the incumbents now

17:09

this is such a really incredible

17:11

argument usually one of the explanations

17:14

or reasons people say that oh AI uh or

17:17

rather

17:18

Omega caps are a bad investment is

17:20

because they say mega caps used to be

17:22

Innovative and that's why they were

17:25

disruptive and grew as much as they did

17:27

but now they're not Innovative anymore

17:29

in other words The Innovation is dead

17:30

well AI is being argued to potentially

17:35

being capable of allowing some of the

17:39

existing massive companies like

17:41

Microsoft alphabet Nvidia Amazon

17:42

Salesforce meta into it and Adobe to

17:46

lead the industry uh in in sort of a new

17:49

wave of innovation I think before I may

17:51

have mentioned Intel I suppose I meant

17:53

to say into it but anyway that's

17:55

interesting uh so then uh then there and

17:59

mostly because there's a lot of talk

18:00

about this Innovation slow down in

18:02

America and so that's very interesting

18:03

uh so this expands the opportunity for

18:06

more seamless upsells cross promotions

18:08

Cloud providers we expect to use

18:10

generative AI will drive demand for

18:12

compute compute is great for again the

18:14

chips manufacturing sector uh see we've

18:17

got a little note here about how chips

18:18

manufacturing companies sell the

18:20

pickaxes well software have to find the

18:22

gold let's take a look at their talk

18:24

about Microsoft they think Microsoft has

18:26

uh this uh this large enhancement to

18:30

really their edge browser and their Bing

18:33

search experience by including they're

18:36

barred AI into search results they see

18:39

that as as a pretty good driver of

18:41

potentially uh Microsoft Edge software

18:45

usage their browser which could lead to

18:48

more potentially advertising sales for

18:49

Microsoft it's actually really

18:51

interesting I was reading a story just

18:53

yesterday about how ad sales despite the

18:55

crazy economy are expecting to pick up

18:57

actually it's worth looking at that

19:00

because it's quite related here oh yeah

19:02

here it is U.S ad sale spending still

19:05

expected to grow in 2023 despite quote

19:08

stressful economic signals now that's

19:11

important for companies that I like

19:14

exposure to as well like trade desk I

19:17

like to hear that there's still growth

19:18

in advertising I've actually fled to

19:21

trade desk because I think they're one

19:22

of the most pure play advertisers that's

19:25

actually in a a very growing Niche

19:28

within advertising but if the entire

19:31

advertising space still grows that's

19:33

even more phenomenal so I saved this art

19:35

article I was starting to read it a bit

19:37

yesterday let's look at this a major ad

19:39

forecaster said advertising is still

19:41

expected to grow in 2023 despite mixed

19:44

economic signals a resiliency that

19:47

industry Pros say would have been

19:48

unlikely during earlier periods of

19:50

turbulence media owners and this is this

19:53

is actually great for Microsoft and

19:55

Google I actually stopped investing in

19:58

Google for a while uh and uh and I have

20:01

many reasons for that we've been talking

20:02

about that a lot in the course member

20:03

live streams but now I'm starting to

20:05

wonder hey is is there potential has

20:07

Google potentially had its Nike Swoosh

20:09

bottom I mean just to compare to the

20:11

Nike Swoosh for a moment there's Google

20:13

you're still kind of bobbing along in

20:16

that lower region here but we've

20:17

definitely inflected off the the low

20:19

lows so maybe maybe worth revisiting in

20:22

our course member livestream today but

20:23

let's look at ads here media owners Us

20:25

ad revenues are expected to grow 3.4 to

20:29

326 billion this year according to a

20:31

quarterly forecast from Magna a media

20:33

intelligence and investment firm you

20:35

interesting that's actually surprising

20:37

that's uh slightly down from their

20:38

December estimate but the fact that it's

20:40

still positive for the overall media

20:43

industry is actually really incredible

20:45

3.4 percent for the entire industry

20:47

that's great The Firm expects little or

20:49

no growth in the first half of the Year

20:51

followed by a recovery in the second

20:52

half as the economy becomes more stable

20:54

wow I mean this is like this flies in

20:58

the face of this idea that oh Q3 Q4

21:01

recession this ad buying or this ad

21:03

analytics firm is actually suggesting no

21:06

no things will actually be better in the

21:08

second half now that does sort of get

21:10

reiterated by a lot of company earnings

21:12

calls who say they expect their margins

21:14

to be stronger in the second half as

21:17

they finally have raised prices they're

21:19

not raising prices anymore now but then

21:21

they've laid off excess workers and

21:23

they're becoming a little bit more

21:24

efficient that's actually a very

21:27

interesting argument that the second

21:28

half may not be as scary as as people

21:30

keep forecasting that it may be and that

21:33

agrees with my Nike Swoosh thesis so

21:35

maybe I'm a bit biased there keep in

21:38

mind by the way I I um my goal now is to

21:41

send uh probably with starting either

21:44

starting this week or next week uh

21:46

sending daily Buy sell alerts for some

21:49

trades that I'm doing a few days ago uh

21:51

we had a really cool sell put

21:53

opportunity that yielded about uh 10 and

21:56

then it's it's actually performed very

21:58

very well over the last few days uh and

22:01

so we're looking for a lower risk cash

22:03

opportunities and so we had a great

22:05

opportunity on a cell put there where

22:06

volatility was still high unnecessarily

22:09

so but stuff like that is what you might

22:11

expect in the course member live streams

22:13

I'll link down below uh or just go to

22:15

meet kevin.com okay so let's keep going

22:17

here the economy is showing early signs

22:20

of improvement in Jan Fab including

22:21

receding inflation but slow and steady

22:23

growth in GDP we're always expecting

22:25

more of a Slowdown at 23 with tepid

22:28

macro expectations but three months

22:30

later we see economic signals oh wow

22:33

listen to this are actually no not so

22:36

bad and some of them are improved if we

22:39

compared it three months ago wow this is

22:41

a phenomenal piece by The Wall Street

22:43

Journal here this is actually quite

22:45

unexpected I thought I had to hide in in

22:47

a trade desk for my advertising exposure

22:49

but this is really suggesting that the

22:51

advertising Market is is uh really still

22:54

quite strong you know what other

22:55

companies that I keep referring to when

22:57

it comes to advertising a company that's

22:59

just spending like crazy is actually

23:01

Carnival Cruise Lines uh oh my hair is a

23:04

little wild isn't it isn't that

23:04

beautiful though don't you like it when

23:06

my hair is crazy that's because I'm

23:07

crazy see I mean who else would drink

23:09

coffee out of it don't sue me bro mug

23:11

but I appreciate you saying that one

23:13

positive dude from twitch it's actually

23:15

a perfect name appreciate you but anyway

23:18

this is really incredible uh so I was

23:22

gonna say

23:23

um I don't remember what I was gonna say

23:24

let's just keep going

23:26

uh look let's see here oh yeah yeah

23:29

Carnival Cruise Lines is advertising

23:30

like crazy because they were only at 91

23:32

occupancy and they're like freaking out

23:34

trying to get to more occupancy and they

23:35

can't pull it off so what are they doing

23:37

they're like tripling down on

23:38

Advertising it's wild uh anyway uh if it

23:42

was 20 years ago in this economic

23:44

climate we'd probably expect advertising

23:46

spending to fall but we don't because

23:48

there are organic growth factors to put

23:51

against this macro environment that is

23:54

uncertain indeed the organic drivers

23:57

that boosted the ad Market in 2021 in

23:59

the first half of 2022 are still around

24:01

and mitigating the impact of stressful

24:04

economic signals

24:06

Automotive ad spending is also expected

24:08

to Rebound in 2023 thanks to pent-up uh

24:12

demand for auto marketing wow this is

24:15

actually really incredible uh that's

24:18

awesome okay so great news for

24:21

advertising let's go back though since

24:23

this is really supposed to be about uh

24:25

chat GPT style stock AI across its

24:29

platform particularly across core

24:31

products at Microsoft here are some

24:33

various products they have okay

24:34

fantastic Microsoft is in a unique

24:37

position

24:38

to uh that basically to augment human

24:41

productivity you know I remember when I

24:43

interviewed uh it was a great in-person

24:45

interview with um

24:48

uh Brett Whitten over at arkinvest he

24:51

suggested that AI in the future will

24:53

just be basically embedded right into

24:55

our Google spreadsheets or our Microsoft

24:58

Excel and so we'll be able to tell AI

25:01

hey and to some extent you could already

25:03

do this hey you know I don't want to do

25:05

all this work can you basically do this

25:06

for me and with a click of a button it's

25:08

done uh I mean I used to spend eight to

25:10

ten hours a day building spreadsheets

25:12

and I'm really familiar with with the

25:15

efforts and and tribulations that come

25:16

with building spreadsheets and golly if

25:18

if AI could check your logic even oh oh

25:21

it's great and it's already doing that I

25:23

mean you could go through some some

25:24

Twitter posts where people purposefully

25:27

take code that they deleted some code

25:30

from and they inject it into AI or the

25:33

chat gpt4 and they're like hey can you

25:35

fact check this and the a is like ai's

25:37

like oh it looks like you know there's a

25:39

section missing this would actually work

25:41

if you injected this piece of code in

25:43

and it has no idea what you deleted but

25:45

it basically finds exactly what the

25:47

problem is in the code and adds it right

25:49

back in for you it's scary it's like a

25:51

it's like a self-healing robot that

25:54

actually kind of makes me think of video

25:56

games like when you when you shoot the

25:57

alien and then they look down at their

25:59

bullet wound and it just

26:01

heels back up it's like is that all you

26:04

got oh two Transformers these uh anyway

26:07

oh man hey this is the perfect spot to

26:11

remind you to get life insurance in as

26:13

little as five minutes because we have

26:15

no idea when the robots are gonna take

26:17

over and kill us all I think this is

26:19

probably not the best way to advertise

26:21

life insurance because it's a little bit

26:22

gloomy and you know hey we got to put

26:24

the paid prom emotion thing up here but

26:27

uh yeah you could get it in as little as

26:29

five minutes by going to metcavin.com

26:31

life all right here we go so uh all

26:35

right so Microsoft fantastic

26:36

prioritizing r d okay great alphabet

26:39

going back five years ago Google began a

26:41

series of introduction outlining how AI

26:43

will be the driving force behind many of

26:45

the company's products alongside a

26:47

broader Computing shift including Google

26:50

assistance assistant

26:52

duplex lens translate blah blah blah

26:54

blah we see the recent announcement of

26:56

Bard as an extension of these efforts to

26:59

match product uh iteration and

27:01

continuing the evolution of search with

27:03

recent customer excitement about chat

27:06

GPT of course okay great so what are we

27:09

gonna do uh what are their examples they

27:12

want to infuse all of its products with

27:14

AI such as Maps YouTube's recommendation

27:18

engine auto complete on Gmail

27:21

autocomplete on Gmail is already pretty

27:23

dang good uh in addition we see Google

27:25

at the Forefront of an AI driven

27:27

automation within digital advertising

27:30

with performance Max it's automated

27:34

end-to-end campaign Management Service

27:36

that optimizes spend across inventory

27:39

okay now that's actually pretty

27:41

brilliant this potential that you could

27:45

actually just have and maybe they

27:47

already have it based on this thing

27:49

called performance you could potentially

27:51

have uh an ad campaign and then rather

27:54

than you monitoring it or having someone

27:57

else monitor it that you're paying for

28:00

you basically just have ai monitor your

28:03

campaigns now why is that important

28:04

because when you spend money for ads you

28:07

end up as a business spending more money

28:09

when the ads do well so there's an

28:11

incentive for the ads to do very well

28:13

for everyone like Google wants your ads

28:15

to succeed right because then you'll

28:17

spend more money well what if your ad

28:19

starts out doing really well and then

28:21

people get numb to it well maybe AI

28:25

could kind of do that for you by by

28:28

transitioning some of the wording or

28:31

changing it up a little bit so quick

28:32

little Google here on oh performance Max

28:35

so I'm like Googling about Google that

28:38

just seems monopolistic but anyway

28:40

performance Max is a new Global based

28:42

campaign type that allows performance

28:44

advertisers to access all of their

28:48

Google ads inventory from a single

28:49

campaign designed to complement your

28:51

keyword-based search campaigns to help

28:53

you discover more converting customers

28:55

across across all channels performance

28:57

Max helps you drive performance based on

28:59

your goals performance Max combines

29:02

Google's automation Technologies across

29:04

bidding budget optimization attribution

29:07

and more

29:08

see that's actually pretty smart that's

29:11

fantastic uh I I mean that's that's a

29:15

game changer for advertising honestly

29:17

that's really cool Google's ads

29:20

automation uses machine learning to grow

29:22

your business you can input your unique

29:25

expertise such as budget business goals

29:27

and conversions you want to measure

29:29

Google ads automation will find

29:31

potential customers for your goals and

29:33

serve the most appropriate ad with

29:35

optimal bid and maximize campaign

29:37

performance I want to maximize

29:39

performance

29:41

I love maximizing performance

29:44

all right

29:46

so that's cool with internet coverage

29:49

alphabet leading the leading blah blah

29:51

blah okay that's just pitchy over here

29:53

multi-track record okay whatever video

29:56

what do we have over here we envisioned

29:58

a whole

29:59

hook companies across compute Network

30:01

and memory landscape benefiting from the

30:04

proliferation of AI we continue to

30:07

highlight in video a stock recently

30:09

upgraded to buy I've got a big position

30:11

Nvidia as I feel biased reading this one

30:13

but whatever to support the production

30:15

development of larger models whether it

30:17

be for major cloud hyperscalers or for

30:19

Enterprise customers as we stated in our

30:22

upgrade node here we model an

30:24

acceleration of the raid in nvidia's

30:25

wallet share within the context of

30:27

overall cloud capex is a growing

30:29

percentage of data center compute okay

30:31

basically stock go up is what they're

30:33

trying to say here furthermore to the

30:35

extent there's any doubt related to the

30:36

sustainability of nvidia's competitive

30:38

position we believe the generation the

30:41

acceleration in AI development

30:43

will if anything serve to extend the

30:45

company's leadership notice how they're

30:47

not talking AMD over here that's pretty

30:49

incredible that's awesome

30:52

wow while much of the focus around the

30:55

theme of generative AI has been

30:56

dominated by a market share by search

30:58

and gross margins blah blah We Believe

31:00

Enterprises push deeper into machine

31:02

learning with companies like Amazon

31:05

interesting AWS is exposed to this theme

31:08

in a number of ways through their AI

31:11

machine learning services such as Amazon

31:13

Lex poly transcribe comprehend Kendra

31:16

translate

31:17

sagemaker among others

31:20

that's a good point you know I mean

31:22

again a lot of these a lot of these

31:24

platforms are hosted at a company like

31:27

Google or Amazon and then you basically

31:30

let them do the compute for you the same

31:34

advertising benefit that Google saw

31:36

could be talked about at Amazon as well

31:38

uh that's pretty incredible

31:41

wow all right Salesforce as part of

31:44

salesforce's path to unlocking value we

31:48

outline the view that the incorporation

31:50

of generative AI have long tail benefits

31:52

for the companies for end user

31:54

experience okay I'm gonna like keep and

31:56

this is they announced Einstein GPT for

31:59

sales and marketing and stuff something

32:01

that's really cool about AI for sales is

32:04

the potential to predict when you should

32:07

actually reach out to your customer well

32:10

I I think that's really really cool uh

32:13

the

32:15

when I was a real estate agent I'm still

32:17

a real estate broker but when I was

32:18

actively selling real estate I'd have my

32:21

own customer resource manager that I

32:23

built which was pretty basic but it was

32:25

still awesome it was perfect and so I

32:27

would look and go oh I haven't followed

32:28

up with this client in X number of days

32:30

but one of the things that I was always

32:32

frustrated by was I would look at the

32:34

list and I would go okay even though I

32:35

haven't followed up with this client in

32:37

45 days I personally know that I

32:40

shouldn't follow up with this client

32:42

until six months from now but I

32:45

personally know I should follow up with

32:47

this client not after 45 days but after

32:49

10 days because they're very hot and the

32:51

other person's very cold uh or but but

32:53

will be hot in the future anyway that

32:56

sort of thinking I'm personally trying

32:58

to predict well a machine could probably

33:00

do that a lot better than me so I

33:02

actually

33:04

it's very interesting I kind of agree

33:06

that's actually very interesting from a

33:09

from a customer resource manager point

33:11

of view

33:12

AI could be a game changer for

33:15

Salesforce

33:16

I hadn't even thought about that but now

33:18

that I'm putting myself in the shoes of

33:20

a sales representative

33:22

hell yeah

33:24

meta we see Meta as an okay so I've been

33:27

like I've had problems with mentally

33:30

with meta because they're so convinced

33:31

on this like virtual reality uh and and

33:34

AI personally I think virtual reality

33:37

is is like 20 30 years away I think

33:41

augmented reality will be bitching like

33:44

I want to just put regular glasses on do

33:47

I have any glasses here I don't have any

33:48

glasses I just want to put regular

33:49

glasses on and and be able to have like

33:52

I don't know news feeds or like news

33:54

alerts pop up on screen you know kind of

33:57

like imagine walking around while you're

33:59

listening to a YouTube video and then

34:00

all of a sudden a banner pops up that

34:02

reminds you about courses and an ETF and

34:05

a real estate startup and affiliate

34:06

links yeah anyway so okay back to uh so

34:11

anyway I don't like that they're

34:12

spending all this money over there beta

34:13

but it's been a great place since

34:15

they're lows of about 80 bucks I'll give

34:17

them that uh so anyway what do we have

34:19

over here so they see 110 billion in

34:22

capex the majority of which is going to

34:25

meta's AI Investments with regard to

34:27

generative AI specifically meta has

34:29

launched a number of products including

34:31

make a scene and make a video a text to

34:34

image and text to video model

34:36

uh to to optimize blah blah blah access

34:39

to their artificial intelligence and API

34:42

whatever uh same thing with ad targeting

34:45

that's true they'll have the benefit of

34:47

AD targeting generative AI debates will

34:50

likely persist for them yes I agree

34:53

reels uh okay

34:56

cool Adobe though Adobe made its first

34:59

announcement under the generative AI

35:01

umbrella at its Summit conference last

35:03

week we highlighted adobe's early

35:04

investments in AI machine learning Tech

35:06

evidenced by the release of Sensai as in

35:09

2016.

35:11

so I wonder how they could do that like

35:12

I wonder if you could use AI to

35:14

basically build an architectural

35:16

rendering for you that probably that

35:19

would be really cool if you were like an

35:20

architect uh I was I I don't know why

35:23

I'm thinking AutoCAD right here but

35:24

AutoCAD uh is uh

35:27

um is not Adobe AutoCAD does a lot of

35:30

architectural work uh and uh I wonder if

35:34

you could use AI over there to sort of

35:35

generate models like if you could take a

35:37

matterport scan and then have ai do the

35:40

actual like 2D plan for you

35:42

appropriately and fact check it because

35:44

there's some conversion problems from

35:45

matterport so that'd be pretty sick

35:47

because now you're really taking the the

35:49

real world and able to manipulate it

35:51

with generative AI That's crazy anyway

35:52

Adobe would be more of your like after

35:54

effects or photoshop or Lightroom I mean

35:57

quite frankly some of the AI that you

36:00

could use now already with like

36:01

Lightroom to automatically enhance your

36:04

photos is really good it's pretty

36:07

incredible

36:08

chachept was the fastest application to

36:11

exceed 100 uh users pretty incredible

36:14

how does it work fine whatever uh I did

36:17

want to also hit this story here this is

36:20

a financial remember how I was talking

36:22

about how the Wall Street Journal was

36:23

talking about basically jobs being

36:25

affected Financial Times takes it a step

36:28

further and goes as many as 300 million

36:30

jobs could be effective and potentially

36:32

how because AI is going to get so strong

36:34

we could actually end up seeing a

36:37

significant disruption to the labor

36:39

market exposing 300 million full-time

36:42

workers to automation lawyers and

36:45

administrative staff would be the among

36:48

the greatest risk of becoming redundant

36:51

wow lawyers I didn't even think about

36:54

lawyers

36:56

I mean I still think you need great

36:58

people who could present a case but if

37:01

you could have ai do your case law

37:03

searching for you and like go through

37:05

these 5 000 cases and find me case Law

37:08

related to my case oh my God

37:12

oh that's a game changer because you

37:16

have to like pay people lots of money

37:18

right now to do to do research or like

37:21

when you do Discovery you know and you

37:23

get a box of 5 000 pages of documents

37:27

scan it up and tell AI find

37:29

incriminating evidence

37:31

and then Stitch a story together about

37:33

how this person's a criminal or fraud or

37:35

whatever

37:37

oh my God that's crazy

37:40

uh I didn't even think about lawyers I

37:43

mean I get it from the point of view of

37:44

like like you know document prep but uh

37:47

wow to calculate that roughly two-thirds

37:50

of jobs in the U.S and Europe are

37:51

exposed to some degree of AI automation

37:53

Based on data and tasks typically

37:55

performed in thousands of occupations

37:56

most people would see less than half

37:58

their workload automated

38:00

uh and probably see their jobs continue

38:02

well yeah sure because we've got a lot

38:04

of workers around the world but still

38:06

300 million job losses that'd be crazy

38:08

and that's just with what we know right

38:10

now we could see 63 percent of the U.S

38:13

Workforce affected thirty percent

38:15

unaffected probably like honestly

38:17

construction right like I mean you swing

38:21

in a hammer it's going to be a while

38:22

before you get your Optimus bot to come

38:24

swing your hammer for you wow that's

38:27

wild

38:28

here's another one AI develops cancer

38:31

treatment in 30 days and predicts

38:34

survival rate New York Post oh wow

38:37

here's a use case to show the capability

38:40

and complexity

38:41

uh that AI can replace artificial

38:44

intelligence just developed a treatment

38:46

for cancer in just 30 days and can

38:48

predict a patient's survival rate a new

38:50

study published in the Journal of

38:52

chemical science researchers at the

38:54

University of Toronto along with in

38:56

silicone medicine developed a potential

38:58

treatment

38:59

for some form of carcinoma carcinoma

39:03

that's like a that's like a skin fist

39:04

cancer right I don't know whatever I'm

39:07

not a doctor a stock doctor

39:10

uh where's my doctorate thing anyway uh

39:14

with an AI drug Discovery platform

39:16

called Pharma AI HCC is the most oh it's

39:19

a liver see that just tells you how

39:21

wrong I was HCC is the most common type

39:23

of liver cancer that occurs when a tumor

39:25

grows on the liver

39:27

okay AI powered protein structure

39:30

database from Pharma AI uncovered a

39:33

novel Target a previously unknown

39:35

treatment pathway for cancer and

39:37

developed a novel hit molecule that can

39:39

bind to the Target without Aid dude are

39:42

you serious

39:43

holy crap

39:45

that is absolutely incredible

39:49

uh

39:51

uh wow that is that's really really

39:53

awesome any potential drug would need to

39:55

go through clinical trials before

39:57

widespread use yeah you know what we're

39:59

going to get next we're going to get AI

40:02

clinical trials

40:05

uh well the AI took the drug and the AI

40:10

survived

40:12

I was rapidly changing the way drugs and

40:14

Medicine are discovered and developed

40:16

from traditional methods of trial and

40:17

erratives which are slow and expensive

40:19

which limit the scope of expansion Alpha

40:23

fold broke new scientific ground and

40:25

predicting the structure of proteins

40:27

protein folding by the way is uh

40:30

something I basically know nothing about

40:32

I am

40:34

clearly and incompetent when it comes to

40:36

protein folding but apparently

40:39

when you're trying to do like genetic

40:41

work you're trying to predict how

40:44

basically proteins in your body or in

40:48

nature can be created

40:50

and we're really bad at doing that

40:53

but AI is apparently really good at

40:55

doing that

40:56

so if you care about folding proteins

41:00

this is good

41:02

that's that's about as deep as I can go

41:04

I'm sorry like that I will just be

41:06

transparent with you there are some

41:07

things I just don't understand

41:10

um yeah cool cool pictures trials

41:14

medicines look at that in Vivo in vitro

41:18

uh in life in Petri dish see look I'm an

41:22

expert I know what I'm talking about

41:24

anyway this is really cool uh wait wait

41:28

wait wait wait wait in silico wait what

41:33

what wait a sec wait a sec wait a sec

41:35

this is what I I was joking about like

41:38

uh discoveries uh like doing clinical

41:41

trials in in uh um in chips and that but

41:45

uh that's kind of what they're talking

41:46

about here AI could be a Cutting Edge

41:48

technology for future cancer tear yeah

41:50

yeah I mean that's basically okay yeah

41:51

that's basically what they described

41:52

earlier about being able to figure out

41:54

uh a new potential cure for cancer

41:58

that's crazy really really cool so I

42:01

have to say AI absolutely phenomenal and

42:05

if any of this makes you nervous get

42:07

life insurance in as little as five

42:09

minutes make sure you check out the

42:11

programs on building your wealth link

42:12

down below we're starting again with our

42:15

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42:16

uh sell uh put alerts uh for something

42:20

that ended up playing out really well I

42:21

hope to have many more of those great

42:23

plays uh and uh yeah I look forward to

42:26

also you getting yourself 12 free stocks

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42:37

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42:50

foreign

42:52

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