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Artificial Intelligence will FORCE Monthly Stimulus Checks.

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0:00

is AI going to ruin employment is

0:03

everybody just going to lose their jobs

0:05

and we're gonna have to get Universal

0:07

basic income well yes potentially on

0:11

needing to get stimulus we're actually

0:14

going to talk specifically about that in

0:16

this video because Deutsche Bank just

0:19

put together a piece on artificial

0:21

intelligence and uh listen to one of the

0:24

hand-hand this is a part of what we're

0:26

going to talk about towards the end of

0:27

the video where we talk more about

0:28

stimulus but listen to this phrase here

0:30

ready for this

0:31

in today's

0:33

society the tolerance for dramatic

0:37

changes to people's employment prospects

0:41

is low

0:43

so if the impact of AI is going to be

0:46

transformative then we could expect new

0:50

laws regulation and there it is folks

0:54

there it is stimulus

0:57

in the near term the financial support

1:01

to reduce the near-term impact now we're

1:03

going to talk about this near-term

1:05

income and stimulus towards the end

1:07

because some people are going to go how

1:09

the he double hockey sticks Kevin

1:12

how the h a double hockey sticks are we

1:17

ever remotely going to go back to

1:19

stimulus with these levels of debt

1:24

and I'm actually going to show you

1:26

how exactly we might be able to so first

1:30

though we need to understand is AI going

1:33

to ruin all of our jobs and take away

1:35

all of our opportunities and is it time

1:37

to destroy Ai and anybody who pitches AI

1:41

including you Kevin I see that course

1:44

featuring AI

1:46

well let's read the Deutsche Bank piece

1:49

at least the highlights of it so here we

1:51

go given how rapidly the use of AI could

1:53

spread it is true that there could be

1:55

short-term dislocations in the labor

1:57

market to date though the fears about

1:59

technology leading to less work have

2:02

been unfounded over the long term since

2:05

new technologies don't just substitute

2:07

labor but they actually tend to

2:08

complement it if anything the biggest

2:11

risk of innovation tends to be quote

2:15

failing to embrace new technologies in

2:19

other words if you're and In fairness a

2:22

lot of people are like this but if

2:23

you're like a lot of people right now

2:24

and you're like hey I sh may I it ain't

2:27

doing my job right now I I don't need to

2:30

learn about that that is historically a

2:33

big mistake so

2:35

maybe somebody can like help you out you

2:38

know maybe there's somebody who can

2:39

catch you up to speed in the link down

2:41

below anyway okay so continuing on here

2:46

since centuries prior to the Industrial

2:49

Revolution demonstrate stagnant

2:51

productivity meant that living standards

2:54

changed little now I want to explain

2:55

that that's very interesting but first

2:57

there's a really fascinating line right

3:02

he where is it somewhere in here I'm

3:05

just going to jump to it because it's a

3:06

really fascinating line before we get

3:07

into some of these items here

3:10

in this Deutsche Bank piece what they

3:12

say is just 150 years ago

3:16

almost all of society

3:19

had one purpose and I want you to think

3:22

about this for a moment because it's

3:23

more impactful so if you're just like

3:25

passively listening you're like just

3:26

tell me Kevin stop for a second and

3:29

seriously ask yourself what did most

3:31

people do 150 years ago what was the one

3:35

goal people had 150 years ago you ready

3:39

for it

3:40

get food on the table that's it 150

3:44

years ago the vast majority of society

3:47

existed literally to farm food and put

3:51

that crap on the table while you're

3:53

wearing some burlap clothing like you're

3:55

in Rust and not running around naked

3:58

that was life 150 years ago

4:01

and it's scary that 150 years ago

4:04

everybody's working Farms where today

4:08

the size of our agricultural Workforce

4:11

is like

4:12

zero relative to what everybody else

4:15

does I mean the amount of farmers

4:18

watching this video was probably

4:19

somewhere like one percent so if you're

4:22

a farmer you're the one percent

4:24

so that's very interesting because it

4:27

shows you okay that's a good point we

4:29

have had technology it has created a lot

4:31

of new jobs over the last 150 years

4:33

we're not all grain Farmers anymore okay

4:36

so what has history looked like

4:39

well these are fascinating so in 1589

4:43

Queen Elizabeth refused to Grant the

4:46

inventor of a mechanical knitting

4:48

machine a patent

4:49

because it would put manual Knitters out

4:52

of work was the fear

4:53

famously in the 19th century and I've

4:56

regularly referred to this line in uh on

4:59

on this YouTube channel uh the luddites

5:01

or the phrase the luddites and

5:03

specifically I like to call people

5:04

luddites who just don't adapt like when

5:07

I hear people are still storing stuff in

5:10

paper files and binders I'm like Luddite

5:14

why are you not why are you still doing

5:16

that I mean unless you're like in the

5:17

CIA or something like that it's like oh

5:19

it buried a bit of cloud or I don't I

5:22

don't know it just seems wild you're a

5:23

lot I'm just not adapting with the times

5:25

but anyway most famously in the early

5:27

19th century a group of English textile

5:31

workers called luddites destroyed

5:33

Machinery in part because of fears that

5:36

would take away their jobs to this day

5:38

the term Luddite is still used to those

5:40

who are resistant to new approaches of

5:42

working exactly

5:47

but that's one of the most frustrating

5:49

things when you're running a company is

5:50

when you're trying to hire people and

5:52

then you hire people or just completely

5:53

resistant to doing things

5:55

the more Modern Way

5:57

anyway you're better off training

5:59

somebody who doesn't know what they're

6:00

doing how to do it better

6:02

anyway

6:03

in 1862 you had Union people form a

6:07

union because grain elevators basically

6:10

pissed off listen to this job you ready

6:12

for this job shovelers in New York City

6:15

yes a shoveler was a job and the

6:19

shovelers would quote denounce the

6:23

owners of elevators as capitalists and

6:25

speculators who were robbing the honest

6:28

Laborer of his do okay AOC of 1862 what

6:35

actually ended up coming as a result of

6:38

all of The Innovation and all of this

6:41

nonsensical fear of stuff like in the

6:44

1940 U.S senator Joseph o Mahoney

6:48

proposing a robot tax that machines

6:53

should be taxed in the proportion of the

6:55

number of jobs they take away from

6:57

humans or the Time Magazine story of

7:01

1961 saying that basically new

7:04

Industries yeah in the past helped hire

7:06

more people but not anymore today now

7:08

now we're really going to start losing

7:10

jobs

7:11

all of it ended up basically being

7:14

complete BS in fact take a look at this

7:18

this right here is the group of Seven's

7:21

unemployment rate over the last 200

7:24

years about actually more like 250 years

7:27

you can basically see the unemployment

7:29

rate has with the exception of like

7:31

booms and busts

7:32

pretty much stayed constantly low like

7:37

three to four percent

7:38

over the last 250 years kind of wild

7:41

here we are on jobs day talking about

7:43

unemployment

7:44

so why hasn't there been a massive wave

7:46

of unemployment anytime we get

7:48

Innovations well look at this line this

7:51

one's particularly relevant in centuries

7:53

past there were no Cloud Engineers new

7:57

jobs are created as the result of new

7:58

technology there were also no YouTubers

8:01

yet there were plenty today

8:03

second there are things that robots

8:06

can't do like persuasive argumentation

8:09

chat GPT isn't great at being very

8:13

persuasive but it's pretty good at

8:15

getting you Baseline information that

8:18

sometimes you stop the fact check uh

8:20

number three

8:21

Technologies increase our productivity

8:23

and wealth and they also increase our

8:25

standard of living and also give us more

8:28

free time so that way we can demand

8:30

other services like personal fitness

8:32

trainers which basically creates more

8:34

jobs for first personal fitness trainers

8:36

think about it if 150 years ago we're

8:37

all farming how many of us farming are

8:40

like oh yeah let's now also get a

8:42

personal fitness trainer like nobody so

8:43

you're like I just had my personal

8:45

fitness it was called plowing that's

8:47

right I plowed all day long

8:49

anyway so oh yeah here's that example of

8:52

150 years ago I thought that was really

8:54

interesting but anyway now Innovation

8:55

leaves us open to more Leisure and

8:57

Hospitality better standard of living

8:58

here's your agricultural industry

9:00

agricultural industry plummeting over

9:03

time giving way to other services

9:05

Leisure and Hospitality education and

9:08

health the more Innovation you have the

9:10

more education you need the more people

9:11

need to understand how to type how to

9:13

use a computer how to code uh you know

9:15

if there was no Health Care system in

9:18

the in the past

9:19

because nobody knew what they were doing

9:20

other than here have some alcohol and

9:22

bite on this rag while we chop your leg

9:23

off you know you don't really need much

9:26

education but now that we have a modern

9:28

medical system you actually do need to

9:29

educate doctors for years sometimes six

9:32

to ten years which is wild

9:34

um shout out to the people who go

9:36

through that for a Health Care system

9:37

thank you but anyway uh then look at

9:40

this they give an example Ford in the

9:43

Model T they're like oh no the conveyor

9:45

belt is going to replace workers AOC is

9:48

going to be pissed of the early 1900s oh

9:50

wait no what did the conveyor belt

9:52

system actually do it actually reduced

9:55

the cost of

9:56

the vehicle from 950 in 1909 to just 290

10:02

dollars by 1926 massively increasing the

10:07

number of people who could afford a car

10:09

making them more productive because now

10:11

more people could drive on newly built

10:13

highways and go shopping in new strip

10:16

malls or shopping centers that were

10:18

built outside of cities and they could

10:20

live in suburbs and they could go to

10:22

Advanced schools and they could have

10:24

more Leisure Time and they could build

10:25

their wealth

10:26

huh Innovation is surprisingly a good

10:30

thing

10:31

a surprise surprise in fact look at this

10:33

particular chart this particular chart

10:36

is first of all what's shocking is look

10:38

at a time where we had little Innovation

10:40

between 1209

10:43

and 1709 you had basically negative real

10:48

wage growth in other words if you were a

10:53

worker in 1650 you made less money than

10:59

the worker in 1209 because basically

11:03

inflation reduced your your real wage

11:06

growth that's insane that 400 years

11:09

later you technically made less money

11:11

but that's because Innovation was

11:13

basically non-existent

11:16

whereas when you actually put Innovation

11:19

into

11:21

our society look at what happened to

11:24

real which that's very important because

11:26

real means inflation adjusted what

11:29

happened to inflation-adjusted earnings

11:32

they skyrocketed what happened to

11:34

productivity per person

11:36

it skyrocketed

11:38

now what's fascinating about this is

11:40

there were estimates back in the day

11:42

that basically people like uh John

11:45

Maynard Keynes suggested that hey you

11:48

know not only are you going to have

11:49

better health and you'll be able to live

11:51

longer I mean look at this apparently

11:52

today we are seven inches taller than

11:56

our pre-industrial ancestors so 150

12:00

years ago people were seven inches

12:01

shorter we're getting taller because of

12:04

modern Healthcare interesting never

12:06

thought about that before I understand

12:07

the life expectancy is at least gone up

12:10

maybe it's stagnated in recent years in

12:13

fact that's what some people argue is

12:14

like oh but well we've stagnated since

12:16

the Great Recession true but maybe now

12:19

ai is actually going to help us get that

12:21

next big boost right unless of course

12:23

you're a lot either you're like leave me

12:24

alone Ai No I don't want to learn about

12:27

Ai No I don't want to take the catch up

12:29

to speed course from Kevin on featuring

12:31

AI which drops June 6th at 6 pm and yes

12:34

after Kevin finishes his work this

12:36

morning it's finally going to change

12:37

those prices is and you can still email

12:40

them at staff and meet kevin.com to lock

12:42

in your best price

12:44

before the prices go up but anyway

12:46

going back to this what's really

12:48

interesting and I love this stuff is

12:50

look at this

12:51

I'm just gonna read this one because

12:52

it's so fascinating me even the most

12:54

eminent economists have overestimated to

12:57

the extent that which humans would find

12:58

themselves

12:59

underemployed as a result of economic

13:01

progress back in 1930 John Maynard

13:04

Keynes famous Keynesian Economist he

13:06

basically created that wrote an essay

13:08

called economic possibilities of our

13:10

grandchildren he predicted that living

13:11

standards in the century would be four

13:13

to eight times higher which actually

13:16

proved to be correct living standards

13:18

did go up four to eight times however

13:20

people didn't work less see he thought

13:24

people would go down to just 15 hour

13:27

work weeks because of innovation

13:30

that didn't happen though the work week

13:33

hasn't really gone down that much

13:36

and there are potential reason for the

13:39

work week not going down that much is

13:42

actually potentially because maybe work

13:44

provides a sense of purpose and

13:47

fulfillment and that when you're

13:49

unemployed

13:50

you actually have more negative Health

13:52

outcomes you gain more weight you're

13:54

more unhealthy you feel less happy

13:56

you're more depressed but when you're

13:59

working and you feel like you're

14:00

actually contributing to to real growth

14:03

and you can make a meaningful change

14:05

that's actually what makes you most

14:07

potentially happy

14:09

and now you know that's would be on an

14:11

average that might not necessarily be

14:13

true of everyone but I thought this was

14:15

interesting humans are inherently

14:17

ambitious and will always seek out ways

14:20

to progress themselves so even if we all

14:22

become richer in the future individuals

14:25

are unlikely to accept a good standard

14:27

of living as defined in 2023 instead

14:30

they will strive to oh boy keep up with

14:33

others which will likely involve

14:34

remaining in work to earn more money as

14:37

a result even if some of our Newfound

14:39

wealth in the future is used to enjoy

14:40

more leisure time it is highly unlikely

14:43

we see a complete one-to-one

14:45

substitution of labor for leisure in

14:49

conclusion

14:50

if AI does prove or then we gotta talk

14:52

stimulus okay that's why I put this note

14:54

here because I knew I'd almost forget if

14:56

AI does prove disruptive then it is to

15:00

be expected that policy makers will

15:02

protect workers against any short-term

15:06

employment disruption whether that is

15:09

via laws regulation or a redistribution

15:14

of income

15:16

oh that's interesting so this is where

15:19

we go to how the he double hockey sticks

15:22

are we ever remotely going to go back to

15:24

stimulus with these high levels of debt

15:27

that we face today

15:29

and what's actually the most simple

15:32

explanation of how you can have stimulus

15:35

with these high levels of debt

15:37

is quite frankly the following

15:39

so write down what the level of debt is

15:42

today so we're going to write T equals

15:46

well we'll just do T Sub Zero T Sub 0

15:49

will be time equals now okay so T Sub

15:52

Zero

15:53

31 trilly debt

15:57

23 rounding a little bit here truly

16:00

economy

16:01

that means we have a debt to GDP using

16:04

these numbers here of about

16:08

134 percent

16:11

so we have more debt than our economy

16:13

makes right that's bad it's basically

16:15

kind of like also saying we spend more

16:17

than we take in right we're upside down

16:19

now let's go to

16:22

t plus 10. so in other words 10 years

16:25

from now

16:26

what if in 10 years from now because of

16:29

the productivity that AI creates in

16:31

other words people still work 40 hours a

16:33

week they're able to be so much more

16:34

productive that they make more money and

16:36

their wealth goes up and hopefully they

16:38

you know they invest like we talk about

16:40

in the stocks and psychology money

16:41

course or the real estate zero to

16:43

millionaire course whatever it's how I

16:45

went zero to millionaire way before

16:46

YouTube Real Estate

16:49

uh and people have more time to spend on

16:51

stuff now all of a sudden

16:53

you could why I suppose you could work

16:55

more but you could also spend more which

16:56

is cool you could travel more or

16:58

whatever uh what if our economy explodes

17:01

faster than the rate of debt

17:04

and with AI this is likely to happen so

17:07

now all of a sudden let's take our

17:08

economy and let's say our economy 10xes

17:11

over the next 10 years

17:13

and so we go to

17:15

230 trillion dollars of an economy this

17:18

is Extreme it's unlikely to 10x but

17:21

let's just make the math simple to

17:22

understand how this could function

17:25

so say the economy 10x is over the next

17:27

10 years

17:29

now your debt five x's over the next 10

17:34

years okay well 5x would put you at

17:37

about 155 trillion in debt now what is

17:41

your debt to GDP

17:42

well now your debt to GDP ratio is

17:47

actually just

17:48

67

17:50

so now what does this mean well it means

17:54

between

17:55

now and 10 years from now you could

17:58

potentially spend

18:02

124 trillion more dollars which

18:07

basically is like

18:10

41 cares acts of stimulus 41 cares acts

18:15

of stimulus and if I'm off by a factor

18:18

of 10 here then

18:20

four cares acts you see what I mean but

18:23

the point is

18:25

to say

18:26

if the economy does become rapidly more

18:29

productive just like it has in history

18:32

right here if this is what happens over

18:35

the next 10 years then as Deutsche Bank

18:38

tells us yes you are going to likely see

18:42

quote dislocations in labor markets okay

18:45

in the short term and those are going to

18:48

be protected how are those going to be

18:51

protected they are going to be protected

18:53

with

18:54

laws regulation

18:56

or redistribution of income in other

18:59

words likely some form of

19:03

Universal basic income probably not cold

19:07

Universal basic income because that's

19:09

deemed too Progressive or leftist but

19:12

something more like a higher

19:15

unemployment insurance like remember the

19:18

days of you know 500 a month or or how

19:22

about this one you remember these days

19:24

every American should be paid two

19:27

thousand dollars a month at minimum just

19:30

to be able to survive and put food on

19:32

the table now the problem with that is

19:34

is that going to cause massive inflation

19:36

well if you have this sort of

19:38

productivity not necessarily

19:41

remember let me catch you up to speed

19:43

what caused inflation during the

19:45

pandemic it was not the slow increase

19:50

the spending

19:51

it was the sudden increase of spending

19:55

that this spike is what caused inflation

19:57

you could fact check on me on this this

20:00

is very easy all you have to do is type

20:02

in the Google Saint Louis Fred and then

20:05

type in uh you know total Federal

20:08

Reserve balance sheet and then we could

20:11

see basically the total assets of the

20:13

Federal Reserve which is a way of saying

20:15

how much money did the Federal Reserve

20:16

print

20:17

and if we look at uh the last 10 years

20:21

it's either relatively slow or negative

20:24

and you can do that right here

20:26

relatively slow growth or negative and

20:30

if you look at this massive explosion

20:32

here well no surprise that that massive

20:34

rapid explosion caused inflation but

20:37

if over the next 10 years you do more of

20:40

what we did during 2010 and 2018 where

20:43

you gradually or more gradually spend

20:46

more money on basically stimulative

20:49

style programs for people who are being

20:51

replaced by AI or some form of Ubi then

20:55

what actually happens is you can in a

20:58

weird way massively grow the economy

21:01

while stimulating more and while not

21:05

causing inflation

21:07

that is what we're going to leave it off

21:09

on because that is pretty wild to think

21:12

about

21:13

you could have Ubi with no inflation and

21:16

a more productive economy and a richer

21:18

economy and one where people are more

21:19

productive however you just have to

21:21

remember the biggest warning that I

21:23

think out of this piece was right here

21:25

the biggest risk would come from failing

21:28

to embrace new technologies

21:30

exactly why you should embrace the how

21:32

to make more money and get sh-19 done

21:34

faster course featuring AI with the AI

21:36

lectures dropping on June 6th at 6 pm

21:39

we'll see you there

21:40

[Music]

21:50

now I want you to know this when it

21:52

comes to AI

21:54

time is what's going to make you money

21:56

and if you can prove that value to an

21:59

employer you'll always be able to be

22:01

employed so this is another way of

22:03

making sure that you don't get replaced

22:06

but

22:10

all right

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