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Critical Warning on Artificial Intelligence Stocks [Do THIS Now] AI Stocks.

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0:00

the increase in quality of life that AI

0:02

can deliver is extraordinary we're all

0:05

scared that a bad guy could grab it

0:09

artificial intelligence or at least talk

0:11

of artificial intelligence is everywhere

0:14

there is talk that over the next decade

0:16

300 million jobs will be impacted by AI

0:21

however Global GDP might actually be up

0:25

seven percent over the next a decade

0:27

because of artificial intelligence which

0:29

sounds like a small number but

0:31

considering that a lot of countries

0:33

contribute to GDP without being very

0:36

technologically advanced could mean that

0:38

GDP growth in modern societies might

0:41

even be a lot larger maybe we could see

0:44

GDP growth in America 10 20 30 percent

0:46

higher because of artificial

0:48

intelligence but the question is what

0:51

about workers after all some reports

0:53

suggest that 50 percent of workers will

0:56

see 50 of their work replaced by AI in

1:00

other words 50 of all workers might only

1:02

need to work 20 hours a week instead of

1:04

40 hours a week and then the question is

1:07

will businesses just hire one person to

1:09

make them work 40 and fire the other

1:12

person or do we work less what does the

1:15

future hold even those who won't be

1:18

replaced by AI reports are that over 60

1:21

percent of workers will see at least 10

1:24

percent of their work replaced by AI

1:26

giving them that much more time to focus

1:28

on creativity and productivity in fact a

1:32

report was just out on work from home

1:35

and how work from home could potentially

1:37

reduce workplace Innovation and patent

1:41

filings since a good amount of

1:43

innovation comes from the chance

1:45

conversations we have with those around

1:47

us so then the question is well if

1:50

people potentially are more productive

1:52

would they have more time to spend

1:54

otherwise thinking up and do innovative

1:57

solutions or would we just work from

2:00

home and some say that today's

2:02

relatively early versions of artificial

2:05

intelligence

2:06

are a joke that there's really nothing

2:10

to see here in fact you have people like

2:12

Snoop Dogg thoroughly confused as to

2:15

whether or not he needs to purchase an

2:17

AI security guard is his implication but

2:21

let's hear AI defined by Snoop Dogg in

2:24

his own words man this thing can hold a

2:26

real conversation like for real for real

2:29

like it's it's blowing my mind because I

2:31

watch movies on this as a kid years ago

2:33

when I used to see this and I'm

2:35

like what is going on and I heard the

2:36

dude that the old dude that created AI

2:38

someone this is not safe because the AIS

2:41

got their own minds and these

2:43

gonna start doing their

2:44

own and I'm like is we in a

2:46

movie right now or what

2:48

oh man so do I need to invest in the AI

2:52

so I can have one with me up like do

2:55

y'all know what the

2:58

so what is the latest in Ai and what

3:02

does it really mean for us as

3:03

individuals the businesses we work for

3:06

or the businesses we run what's going on

3:08

with Google and c3ai and what should

3:11

someone consider before investing in

3:13

either of those stocks and what does

3:15

this mean for a practical set of advice

3:19

for you yourself as somebody watching a

3:21

YouTube video to try to get ahead well

3:23

we're going to talk about all of that uh

3:25

first we'll start with a little bit of

3:27

news though because I'll tell you this

3:28

is an interesting one although somewhat

3:30

creepy here is an example of a company

3:33

called mindviz it's a singapore-based

3:36

company that tries to generate images

3:38

based on your brain waves it claims that

3:41

things that are probably a distant

3:44

memory for you can essentially be

3:47

generated on screen by prompting you

3:50

with some ideas or potentially images

3:53

prompting your memory and then computers

3:56

will be able to see what you your brain

3:58

sees which is bizarre and leading to a

4:02

lot of people wondering where is all

4:04

this data coming from because this is

4:06

scary and a lot of people say it's what

4:08

you've opted into in the last 20 years

4:10

every time you said okay to a privacy

4:13

policy wow so as long as I have seen it

4:16

and you know the patterns of my brain

4:18

then the AI will read that out of my

4:20

brain yeah yes yes yes exactly some say

4:24

their life and death situations and what

4:26

if it falls into the wrong hands life

4:28

and death decisions are being made by

4:30

automated decision making systems and

4:32

they're determining people's access to

4:35

government support for housing food

4:37

Medical Care let's say the bad guys get

4:40

ahead of the good guys then something

4:42

like cyber attacks you know could be

4:45

driven by an AI and while all these

4:48

debates circulate especially what the

4:50

European Union is going to do with the

4:52

euai ACT

4:54

there are some practical things

4:56

happening and some of these practical

4:58

things are well things that we really

5:00

got to consider if we're investors

5:02

because quite frankly you've heard me

5:04

say it before I'll say it again we know

5:05

Google takes about 69 of all of their

5:09

revenue from Google search and placement

5:11

onto websites but if the advertising

5:14

Network adds on websites is not as

5:17

relevant anymore because you don't have

5:18

to go to websites to get answers or use

5:20

search as much the question is well

5:22

who's going to pay for search inside

5:24

Bard or the artificial intelligence and

5:27

then is that the best result and so

5:30

there are a lot of questions about oh

5:32

where is the profit going to go but we

5:34

already know that but what we didn't

5:35

know was until last week Google's i o

5:39

event that Google's apparently really

5:41

good at copying other AI services that

5:45

exist and then branding them as their

5:47

own oh I said it uh I mean hey look this

5:49

isn't to say that Google hasn't been

5:51

studying and researching hard their own

5:53

AI products but I have to say Google's

5:56

extend the image a feature that they

6:00

showcased here showing a child whose

6:03

parent took a photo of them with some of

6:06

the balloons hanging off the end of the

6:08

bench and kind of a gloomy background

6:10

being able to quickly adjust that image

6:13

by pulling the child over and extending

6:15

the image this seems very awfully

6:18

similar to Runway ml's infinite image

6:20

generator so does the compose AI

6:24

replacement that will let you just

6:26

automatically reply to an email by just

6:28

drafting composed for me there's also

6:31

the integration of what appears to be a

6:34

replacement to or copy of mid Journey's

6:37

image generation as well as slide Jack

6:39

generation and other features that have

6:42

been pretty amazing a third-party Market

6:44

tools so far that Google is now bringing

6:47

in-house which is fantastic to some

6:49

extent because it should make those

6:51

features more reliable and accessible

6:53

for all of us which is great but then

6:55

the question and head scratcher still

6:56

becomes okay so how is Google going to

6:59

profit off those we know that Google

7:02

provides services like Gmail but the

7:04

free to use Gmail doesn't really

7:06

generate revenue for Google and Google

7:08

services alone represent less than 12

7:11

percent of Google's income Google cloud

7:13

is growing as a portion of the company's

7:16

a total income but again if you take out

7:19

YouTube advertising Network advertising

7:22

and search advertising you're still down

7:24

now over somewhere around 77 adding

7:28

YouTube in there so there's some

7:29

concerns now maybe YouTube videos will

7:32

actually be even better and more

7:33

relevant because one thing that was very

7:35

exciting was this announcement that

7:37

there could be a globalization of

7:39

YouTube videos where basically my mouth

7:41

could just be dubbed over with what I'm

7:44

saying in a different language be it

7:46

Spanish or Italian or whatever and my

7:49

mouth could actually artificially be

7:50

adjusted to match the words I'm saying

7:53

in a different language to still provide

7:55

the same context but automatically

7:57

translate it rather than manually

7:58

translate it essentially widening every

8:01

YouTuber's reach that's mostly a manual

8:03

process now but pretty incredible and I

8:06

have to say Bard pretty powerful

8:09

compared to chat GPT especially with its

8:12

ability to research much more recent

8:14

data than open ai's chat gbt chatgpt4

8:18

and open II suggests they're gonna

8:20

release browser plugins or should I

8:22

shouldn't say browser plugins rather

8:24

chat plugins for their Pro members

8:27

within the next week they've been saying

8:29

this for a while so fingers crossed

8:30

those plugins come out but for now Bard

8:33

I have to say very impressive the

8:35

question now becomes is Google something

8:38

that we can invest in and I think that

8:40

remains to be seen in terms of where's

8:42

income I'm actually going to come from

8:44

from artificial intelligence and this is

8:47

where I think a lot of businesses are

8:49

just figuring that out for example The

8:51

Wall Street Journal just reported that

8:52

more than half of large financial

8:53

institutions are currently using

8:55

artificial intelligence to manage risk

8:57

and compliance generative AI

9:00

Technologies can after all analyze vast

9:02

amounts of data and provide deep

9:04

insights into Data they're fed almost

9:07

instantaneously work that sometimes

9:09

would take a compliance offer officer or

9:11

risk officer hours to do chat GPT could

9:14

answer for you quickly or Bard or other

9:17

artificial intelligence generative AI

9:19

Technologies now this is really

9:21

incredible even to the tune of running

9:24

AI that can analyze the way that I'm

9:27

talking to you to ensure that I'm

9:29

sounding empathetic or relatable rather

9:31

than scripted or robotic or somehow

9:35

condescending this is all really

9:37

interesting and kind of creepy because

9:39

well AI is going to be judging us quite

9:42

a bit going into the future in fact some

9:44

are saying if you want to get a job

9:46

you're going to have to learn how to

9:48

pass an artificial intelligence

9:50

interviewer so you're going to have to

9:52

beat the bot interview in order to get

9:55

to a human interview reducing a lot of

9:57

sort of that lower entry level first

10:00

layer style of work the more mundane

10:03

which supposedly should give us more

10:05

time to focus on what we really need to

10:07

focus on that sort of creative

10:08

inspiration and putting pieces of a

10:10

puzzle together this is where the Wall

10:12

Street Journal finds that business

10:13

students who use AI when they're allowed

10:16

to are actually more engaged in their

10:18

studies and more satisfied with their

10:19

education and outcomes than those

10:21

business students who are banned from

10:23

using AI so to me it seems like AI is

10:27

going to be this really really amazing

10:28

co-pilot for individuals and this is

10:32

actually what I am releasing on June 1st

10:34

in my program on how to make more money

10:36

and get sh9t done faster which is all

10:38

about making more money increasing your

10:40

income but also utilizing AI with it

10:42

it's all about how do we actually apply

10:45

these AI Concepts to make more money

10:49

that's really important for example a

10:52

Coca-Cola just released an advertisement

10:55

showing the integration of AI the AI

10:58

software stable diffusion and their

11:01

generation of images

11:03

specifically these sort of more blurry

11:06

wobbly images here that you see when you

11:08

kind of see this these sort of almost

11:10

still images that look like they've kind

11:12

of been turned into a wobbly GIF or GIF

11:15

however you say it these are created by

11:17

stable diffusion which is AI which is

11:19

neat but much of this footage was still

11:22

generated through traditional filming

11:24

and 3D animation which is basically how

11:27

things used to be so yeah maybe a

11:29

percentage here is allocated to AI but

11:31

it's certainly not the whole thing as

11:33

much as it might be fun to say look at

11:35

Coca-Cola's AI ad much like Drake's AI

11:39

generated music which wasn't at all

11:42

fully generated by AI it's because a

11:44

part was generated by AI doesn't mean

11:47

we're gonna be out of work anytime soon

11:49

in fact I think now it's a incumbent

11:51

quite frankly upon all of us to figure

11:53

out exactly how to incorporate AI into

11:56

our productive lives our businesses and

11:59

to support the companies we either work

12:01

for or operate to make sure we're being

12:04

as productive as possible so we don't

12:05

get left behind

12:06

and see getting left behind is actually

12:09

something that makes me question C3 AI

12:13

yeah now I want to be very clear here I

12:15

I'm not somebody who's just trying to

12:17

bag on stocks I am a big fan of

12:20

researching and understanding companies

12:22

but sometimes you just get more

12:23

questions than answers and let's just

12:26

put it this way c3ai is a company that

12:30

holds the ticker symbol AI so obviously

12:33

they've got a you know a much better

12:34

ticker than meta especially since the

12:36

metaverse is now passe and AI is in c3ai

12:40

the stock was up like 25 today over this

12:43

enthusiasm of this this is a pre-release

12:49

of their May 31st earnings they just

12:52

released this today on May 15th and

12:55

they're pre-releasing information from

12:57

16 days from now and they're doing that

12:59

in my opinion to capitalize on a lot of

13:02

the hype that is circulating artificial

13:05

intelligence right now and that's that's

13:06

reasonable but what did they actually

13:08

provide us well they told us that their

13:11

guidance was about two percent lower

13:13

than actual Revenue so actual revenues

13:15

came in or expected to come in two

13:17

percent higher for the three months

13:19

ending April 30th and they talk about

13:22

how the overall business environment for

13:24

Enterprise AI is more active than we

13:26

have seen since the company's Inception

13:29

and seems to be accelerating and they're

13:31

talking about this increase in New Deals

13:33

that they close

13:34

I do have a severe concern though with

13:37

c3ai and that is how much of this

13:40

company is basically supported by One

13:44

customer Baker Hughes I hate to say it

13:47

but when you actually look at their last

13:49

quarterly report where which ended

13:51

January 31st they reported

13:54

35.7 million dollars of revenue from one

13:59

contract just one

14:02

35.7 million dollars divided by

14:07

66.669 is 53 and a half percent of

14:12

c3ai's Revenue came directly from

14:15

Baker Hughes which is just one company

14:18

in fact here are the details of their

14:21

contract and you could see they have a

14:23

contract that brings them all the way

14:25

out to

14:26

2025 and they have minimum annual

14:29

commitments of revenue from this one

14:31

company the question is we don't know

14:34

what rights Baker Hughes might have to

14:36

cancel this agreement and so personally

14:38

I'm not suggesting that Baker Hughes is

14:40

going to but this company is really

14:43

heavily exposed to just Baker Hughes

14:45

more than half their revenue coming from

14:47

Just One customer and my concern is the

14:49

following

14:50

all of this AI hype started at the end

14:53

of February and really exploded in March

14:56

and April

14:57

that's all well within your last quarter

15:00

and if AI really exploded in this last

15:03

quarter why did your revenues only beat

15:05

guidance by two percent and you have

15:09

severe concentration in your existing

15:11

Revenue now don't get me wrong a

15:13

company's balance sheet is strong very

15:16

strong in fact if you look at the

15:18

company's balance sheet first of all in

15:20

free cash flow they generated free cash

15:21

flow at least they're guiding for free

15:23

cash flow at this next report that

15:25

they're releasing they've got about 800

15:26

mil in cash they've got about 60 million

15:29

dollars in bills 24 million dollars in

15:31

long-term liabilities none of this

15:32

really a big deal they've got plenty of

15:34

cash to survive they talk about being

15:36

Gap non-gaap profitable which is just a

15:39

fancy way of saying hey if you uh add

15:41

back in all the money we're spending on

15:42

stock based compensation we make money

15:45

okay fine but one of the things that I

15:48

really think is at play here with c3ai

15:51

is

15:52

the market is looking for opportunities

15:54

to invest in artificial intelligence we

15:57

know that that's why Microsoft ran

15:59

that's why Google started to Rally again

16:01

a little bit that's why Nvidia took off

16:04

AMD chip companies everything is

16:07

rallying on this hopium of artificial

16:09

intelligence the concern that I have is

16:12

we're not sure how many of these

16:15

applications are going to be replaced by

16:18

super low-cost artificial intelligence

16:20

and that makes this a very difficult

16:22

place to invest in and I'm not

16:24

suggesting don't invest in AI don't get

16:25

me wrong I have a lot of exposure to AI

16:27

stocks and I'll tell you which ones but

16:29

let's be clear we don't know yet which

16:31

software services or SAS companies are

16:34

really going to benefit from Enterprise

16:36

AI or AI in general again consider that

16:39

when chat GPT comes out

16:41

which it did and you could use it for 20

16:44

bucks a month why the he double hockey

16:48

stick would a company spend tens of

16:51

millions of dollars for quote-unquote

16:54

Enterprise AI with uh c3ai let's say

16:58

when for example if you go into their

17:01

c3ai applications a lot of these

17:04

applications are now provided provided

17:06

substantially less expensively by other

17:10

companies whether it's a no code AI or

17:15

it's crms like Salesforce has with this

17:18

now GPT

17:20

included Einstein bot where you actually

17:23

at a low cost can create your own

17:25

artificial intelligence bot using GPT

17:28

all of the infrastructure and r d that

17:30

went into a company like c3ai

17:33

I think is that actually in question

17:35

because of the low-cost models we have

17:38

now like Bard or C3 or umt look at this

17:42

for example see this is one of the big

17:45

benefits that c3a talks about is hey we

17:47

have a platform that's no code AI you

17:51

can use and they show this person sort

17:53

of stringing together different AI well

17:56

if we just go to stack

17:58

hyphen

18:00

ai.com you can actually see build and

18:04

deploy AI applications in minutes and

18:07

when you hop on over to their

18:09

descriptive video here where they show

18:11

what their product essentially looks

18:13

like what you'll find is once you get

18:16

past the prompting they basically have

18:18

the same son off here as C3 AI now I'm

18:21

not a computer guy or computer expert

18:23

I'm just saying if your mode is creating

18:26

no code Ai and there are now dozens of

18:29

other no code AI websites then your moat

18:33

could potentially be at risk so that

18:37

does it also concern me again with c3ai

18:40

quite frankly any software company I'm

18:43

pretty concerned with when it comes to

18:45

artificial intelligence because we just

18:47

don't know who's really going to

18:49

generate the revenue in the face of

18:52

Google essentially giving you Bard for

18:53

free all of the other uh extensions that

18:57

were separate third party tensions we

18:59

talked about earlier whether they're

19:00

image Generations or PDF Generations

19:03

like slideshow presentations or email

19:05

composure all those things just get

19:06

integrated for free where's the money

19:08

going to come from it's quite concerning

19:10

for me so then I get concerned when a

19:12

company like Berkeley comes out and

19:14

suggests hey we just trained koala koala

19:18

is a dialogue model for academic

19:21

research and we basically trained a

19:25

model similar to chat GPT and we were

19:30

able to do so in April 2023 for 100

19:35

dollars

19:36

and when we then surveyed people if they

19:39

liked koala better or they liked chat

19:42

GPT better 50 percent of people didn't

19:45

notice a difference and they say the

19:47

other 50 percent preferred koala now

19:50

maybe they're biased but then again when

19:52

we say here on public cloud computing

19:54

platforms such training typically costs

19:57

less than 100 dollars with preemptable

20:01

instances

20:02

that's scary because it really puts a

20:05

lot of software at risk it's no surprise

20:08

that Google reported they well Google

20:10

didn't report there was a leaked

20:12

document that Google believes internally

20:14

they might have no moat now the

20:17

authenticity of that is stolen question

20:19

but a lot of media are now picking up on

20:21

that piece we first talked about it a

20:22

few weeks ago that's why you want to

20:23

subscribe to pay attention to the latest

20:25

news here but one of the things that we

20:27

could say with certainty is even if it

20:29

only costs 100 to train the AI model you

20:31

know what keeps coming up

20:33

the chip makers Nvidia the amds then you

20:37

got the chip Fabricators the Intel the

20:39

tsmc then you got the equipment

20:41

manufacturers for the chips the asmls

20:44

these are potentially places we want to

20:47

pay attention to because we know with

20:49

certainty whatever software ends up

20:51

getting used it's all coming back to

20:53

somebody's Cloud whether it's Google

20:55

Microsoft or Amazon's cloud or whatever

20:57

and then it's ultimately coming down to

20:59

those

21:00

chips so I'd personally rather invest in

21:04

a basket of chips and all these software

21:05

companies so we just don't know how many

21:07

of these are actually going to make it

21:09

and how many of them are going to get

21:10

replaced especially since software

21:11

multiples are some of the most expensive

21:13

you look at a company like c3ai you're

21:15

selling for a multiple of nine and a

21:16

half to ten times revenues but those

21:18

revenues I think are highly in question

21:20

now following what happened with well

21:22

the release of Bard and Chad GPT and

21:25

quite frankly so many different

21:27

artificial intelligence programs that

21:29

potentially make spending tens of

21:31

millions of dollars on well custom

21:34

Enterprise AI I'll rip off now the

21:38

Washington Post just reported that

21:39

Facebook has an AI sandbox now they're

21:42

calling some versions of this the metal

21:44

lattice analysts are calling this a

21:47

modest release others say this was a

21:49

ship because they had to ship some kind

21:51

of AI ad tool to help generate different

21:54

titles and metadata for ads or whatever

21:57

that's expected at this point we also

22:00

have some pretty cool hopium like for

22:03

example Berkeley cites that they can

22:06

take your genetic information biological

22:08

and information your characteristics

22:10

your allergies and they would be able to

22:12

predict how you would be likely to

22:15

respond in specific therapies or

22:18

treatments whether those are cancer

22:20

treatments or other treatments they can

22:23

actually with a 90 accuracy predict how

22:26

well you will do through taking a

22:29

certain drug or therapeutic or chemo or

22:33

otherwise that's pretty remarkable since

22:36

if you're sick and you need treatment

22:37

the last thing you want to do is be the

22:39

experiment yourself if we could use AI

22:42

to tell us where we personally are most

22:44

likely to succeed Game Changer now do we

22:47

have a list of companies that are going

22:49

to do that in the health field well you

22:51

can pretty much bet they all will do we

22:53

know which one's going to make the

22:54

biggest dollars of course not but what

22:56

do we know it's always going to come

22:58

down to those darn chips so beyond my

23:02

feelings that are somewhat negative on

23:04

software and this isn't short short term

23:06

negative okay it's entirely possible

23:08

c3ai could 5x from here and I'm not

23:11

saying they're not going to do well just

23:13

saying that I think companies like

23:14

Google and software companies like C3 I

23:16

potentially have a bleed ahead of them

23:18

that could take years and it's possible

23:20

that if the S P 500 returns five six

23:22

seven percent over the next five years

23:24

on average maybe these companies will

23:25

outperform but I think there's a chance

23:27

they might underperform because I think

23:30

there's a limited moat now with how open

23:32

source artificial intelligence is and

23:35

that is going to substantially lead to a

23:37

race to the bottom in class so

23:38

practically what can we do I mean is AI

23:41

just going to bog all your employees and

23:43

make you basically fire everyone well no

23:46

see I actually agree with the Wall

23:49

Street Journal when they suggest the

23:50

best thing that AI can do is help all of

23:53

your staff you as an employee or an

23:56

entrepreneur or whatever become the most

23:57

productive version of yourself so that

24:00

way you can actually rather than being

24:02

somebody who works on entry level stuff

24:04

all the time you can advance to working

24:05

on Mid to Upper tier stuff where humans

24:08

are still going to be extremely useful

24:10

and critical for a very long period of

24:12

time in the future I believe people who

24:14

master that will be the people who make

24:16

the greatest income either themselves or

24:19

for an employer or get the best

24:21

promotion or keep their job rather than

24:22

getting laid off compared to anyone else

24:24

and they're always going to be crazy

24:26

rules and laws I mean look at what's

24:29

going on the European Union's got some

24:31

weird EU AI risk act rules potentially

24:34

creating limitations or fines for

24:37

unregistered high-risk art official

24:39

intelligence fines of up to 20 million

24:41

dollars you've got this argument that

24:43

the EU AI high risk act potentially

24:47

could limit FSD full self-driving for

24:50

vehicles unless those vehicle models use

24:53

high quality data which is actually

24:55

really interesting because if you think

24:57

about it a lot of FSD companies who are

25:00

trying to come up with low self-driving

25:01

are training their data sets on data

25:04

based on models so in other words

25:07

they're training AI based on AI models

25:09

but what if the EU comes out and says we

25:11

want you to train AI based on real world

25:13

models

25:14

that would be good for Tesla given that

25:17

they've got millions of vehicles out

25:19

there using well basically collecting

25:22

real world data into Tesla's artificial

25:26

intelligence learning models that's very

25:28

important could be a little bit of a

25:30

Tesla bonus here but I mean consider the

25:32

world 54 of Italians aged 64 or 16

25:35

rather to 74 lack basic digital skills

25:39

that's scary the EU average for digital

25:42

skills or people who lack digital skills

25:44

is like over 40 and now they're

25:46

investing millions of dollars to try to

25:48

catch people up it's just a lot of

25:50

people behind in the world and this is

25:52

why the most important practical piece

25:55

of advice that I could give you is to

25:58

make sure you understand how to actually

26:01

apply artificial intelligence

26:04

understanding that there are databases

26:07

with 1500 different AI tools you can use

26:09

looking at some tweets or videos on oh

26:12

look at that tool look at that tool

26:13

that's cool that's cool that's cool

26:14

that's cool oh look what Coke did oh

26:16

look what Snoop Dogg said

26:18

that's useful for making sure you stay

26:21

focused on artificial intelligence but

26:24

you should be asking yourself how am I

26:25

applying AI in my life every single day

26:28

to be the most productive person that I

26:30

possibly can be and if you do that then

26:34

potentially

26:36

you could end up making a whole lot more

26:38

money and this is why exactly why on

26:40

June 1st we are releasing a complete

26:43

segment in this course how to make more

26:45

money and get sh 90 done faster link

26:47

down below and it's solely applications

26:49

here is how to apply AI in your life to

26:54

be more productive and more successful

26:55

period that is the most important thing

26:58

how can you actually apply it and the

27:00

cool thing is we know all of this

27:03

information is going to evolve in time

27:05

and so we're going to keep it updated

27:07

because we're going to keep going to

27:08

we're going to basically flip flop every

27:11

time there's something new that's better

27:13

we're going to flip to the next best

27:14

application or way we apply a certain

27:17

Solution that's all what we're going to

27:19

do in that program so check that out

27:20

link down below but otherwise ask

27:22

yourself how are you applying AI in your

27:24

life leave a comment down below with how

27:26

you are applying AI in your life or how

27:28

are you not maybe you're like dude Kevin

27:30

this AI thing is how fat it's worse than

27:32

the metaverse and it's not going to go

27:33

anywhere tell me that down below or

27:35

you're like Hey Kevin yeah you know I

27:37

found ai's actually been pretty useful I

27:39

use it for XYZ you know I'm a therapist

27:41

and I inject my clients uh you know

27:44

transcriptions in there when we talk

27:46

over you know a doctor meeting or

27:48

whatever and it gives me potential

27:49

diagnoses who knows there are endless

27:51

applications that AI can help us with

27:53

with and I really want to hear from you

27:55

so let me know what you think via the

27:57

link down below and folks we'll see you

27:59

in the next one thanks so much for

28:00

watching please subscribe share the

28:01

video if you found it useful and see you

28:03

soon goodbye now I want you to know this

28:05

when it comes to AI

28:07

time is what's going to make you money

28:09

and if you can prove that value to an

28:12

employer you'll always be able to be

28:14

employed so this is another way of

28:16

making sure that you don't get replaced

28:22

please

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