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holy smokes!

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0:00

okay oh here oh my God changing non-farm

0:02

payrolls comes in at 339 000 that's a

0:05

massive beat uh you've got uh we don't

0:08

have the wage gain number yet the

0:09

unemployment rate what the hell goes It

0:12

goes up to 3.7 how do you have I mean

0:15

the participation rate must have no

0:17

labor force participation rate

0:19

oh my God what is it what are these

0:20

numbers labor force participation rate

0:22

62.6 so that's a match on expectation

0:25

it's the same as the prior the average

0:27

hourly earnings are 0.3 percent so it's

0:29

a match the average hourly earnings year

0:31

over year four point three percent which

0:33

is weak weaker than expected on the year

0:35

over year number

0:37

what the heck but you're changing

0:39

non-form payroll is a this insane beat

0:42

of 339 000 versus 195. that's a 74 B

0:49

but the unemployment rate actually goes

0:51

up the unemployment rate goes up from

0:54

the prior of 3.4 or the expectation of

0:56

3.5

0:58

to 3.7

1:00

with a massive beat in the change in

1:03

non-farm payrolls I mean like now it's

1:06

just like what data is this even anymore

1:08

like what is happening is is this like

1:13

who's cooking the books basically oh

1:15

this is quite bizarre uh okay so we'll

1:18

go through the exact report uh in just a

1:20

detail in just a moment but let's let's

1:22

see what some of the initial things are

1:23

here third Whopper number of the year

1:26

at the start of 2023 economists were

1:28

expecting the January jobs figure to

1:30

come in at 189 000. we got to print to

1:33

517 000 instead

1:35

here we go wow another big surprise yeah

1:40

no kidding but at the same time the jobs

1:43

the unemployment rate Rises 0.3 is this

1:46

the fed's interpretation of oh the

1:49

unemployment rate is going to go up

1:51

while massive jobs are being created

1:56

what this is this is so weird uh okay so

2:00

again this is this is now the uh uh

2:03

third crazy beat in a row let's try to

2:06

understand what's actually in this

2:07

report because this is quite bizarre not

2:08

far payroll increased 339 000 in May uh

2:13

yeah this is going to be tough for the

2:14

FED going to be hard to pause after such

2:16

a big gain in payrolls I don't know

2:18

though the average hourly earnings came

2:20

in that forecast remember I don't know

2:21

that the FED needs to cause unemployment

2:24

I think people keep thinking that people

2:26

keep thinking the FED needs to cause

2:28

unemployment

2:29

they don't and in a weird way

2:31

they kind of just did cause unemployment

2:34

by the unemployment rate going up point

2:36

three percent this makes absolutely no

2:37

sense at all uh okay uh 339 000 jobs in

2:43

May the unemployment rate Rose uh Rose

2:46

0.3 percentage points to 3.7 I don't

2:49

understand uh we'll figure it out though

2:51

uh household data Rose uh let's see

2:54

unemployment rate increased okay

2:57

unemployed persons Rose oh here you go

3:00

and the in the households data so in the

3:03

households data the number of unemployed

3:05

people Rose by 440 000. okay so that's

3:10

interesting so in the in the payrolls

3:14

data

3:15

you had a 330 000 gain and in the

3:19

household survey you had a 440 000 job

3:22

loss if I had to understand that

3:23

correctly like this we will get through

3:25

the the charts and they'll show us this

3:27

in a little more detail

3:28

all right unemployment rate for adult

3:30

women 3.3 percent blacks 5.6 percent uh

3:34

adult men 3.5 whites three point three

3:37

percent Asians 2 9 uh Hispanics four

3:40

percent little changed number of job

3:43

losses in persons completing temporary

3:45

jobs increased a three-point or 318 000

3:49

number of persons jobless less than five

3:51

weeks edged up by two hundred seventeen

3:53

thousand so so if I'm to sort of put

3:56

little negatives here that's an increase

3:58

right here

4:00

that's an increase right here uh that's

4:02

an increase right here so you got some

4:03

negative numbers and these all seem to

4:05

be on our household surveys data which

4:07

remember the payrolls data is calling

4:11

businesses so this is from the business

4:13

point of view which basically can double

4:15

count people so if you have multi-jobs

4:18

you could get double counted in this

4:20

survey whereas over here you don't get

4:22

double counted

4:23

two-year treasury yield by the way

4:25

serving now oh great and April gets

4:27

revised up hold on a sec let me look at

4:30

this this is oh yep of course it does oh

4:33

wow this is very fascinating okay so

4:37

change in non-form payrolls for the last

4:39

month goes from 253 000 to 294 000. so

4:43

you get a revision up of how many jobs

4:46

you had the last time

4:47

but then wait for this you ready for

4:50

this the average hourly earnings of the

4:54

last report actually went down from

4:57

point five percent to point four percent

5:00

so in other words in May and April we

5:05

had weaker wage growth than expected we

5:08

just had more jobs than expected that's

5:12

that's quite literally your Goldilocks

5:16

scenario it's quite literally going to

5:19

make Jerome Powell very excited drone

5:21

pile is gonna be like Oh I'm getting

5:23

inflation down while people are getting

5:26

more jobs

5:29

I mean come on if you were the

5:31

chairperson of the Federal Reserve you'd

5:32

be feeling the same way you'd be like

5:34

I'm about to get a statue at Mount

5:35

Rushmore uh okay labor for the force

5:39

participation rate didn't change 62.6

5:42

number uh of a person's employed

5:45

part-time at 3.7 uh little change number

5:48

of persons not in the labor force 5.5

5:50

million little different uh not attached

5:53

was a little changed fine establishment

5:55

survey so here's your establishment

5:57

survey total non-farm payroll increased

5:59

339 000 in May that was the headline

6:01

number we read off whereas we had those

6:03

losses over in uh in the household what

6:06

we have here you've got in May

6:07

professional business services added 64

6:10

000 jobs similar in April government

6:12

employment fifty six thousand Healthcare

6:15

52 000 Leisure and Hospitality 48 000

6:18

construction 25 000. transportation and

6:21

warehousing twenty four thousand uh

6:23

that's actually surprising uh let's see

6:25

couriers and Messengers up Air transport

6:28

up Social Services uh employment little

6:31

change that other Industries like mining

6:33

oil gas manufacturing wholesale trade

6:36

retail trade no I see no losses here at

6:39

least in the establishment survey

6:41

average hourly earnings here you go

6:43

point three percent that's actually

6:45

really good but both of these numbers uh

6:48

I mean the point three percent add

6:50

expectations the four point three

6:51

percent slightly lower than expected

6:54

uh most beneficials crucially Powell

6:56

have been saying that they're ready to

6:57

pause perhaps skipping a rate hike the

7:00

whole skip is such BS if they pause they

7:02

put I I really don't believe this skip

7:05

narrative it doesn't make sense you go

7:07

back to the Arthur Burns reputation of

7:09

start stop start stop start stop it's

7:11

not what they're going to want to do

7:12

yeah Wild

7:14

this is a 14 straight months by the way

7:18

that payroll gains have beaten

7:21

the median estimate

7:23

wow 14 straight months uh and it's not

7:27

the first time in a period that the

7:29

number is beaten every single forecast

7:31

the highest forecast this cycle was 250

7:36

000 and 339 000 handily beat that

7:39

especially since the prior two months in

7:42

total so last month was revised up like

7:44

40 000 jobs or whatever and the month

7:47

before that was also revised in total

7:49

those two months revised up 93

7:52

000 jobs

7:54

this is nutty

7:55

this is very very wild uh well it's it's

7:59

good but it's wild it's not what you

8:02

would expect uh let's get one of some of

8:04

these tables up here so we could get a

8:05

little bit detail but oh my God this is

8:09

insane okay so let's look at

8:15

let's look at the household status

8:17

um

8:19

I mean it's good it should be good the

8:22

market should be seeing this is a good

8:23

thing uh but we'll we'll look at just a

8:26

moment so here you have the household

8:30

survey household data

8:33

and you have

8:35

uh let's see here employed

8:38

wow look at this this is why the

8:40

unemployment rate went up

8:42

so in the household survey

8:45

employed minus three under ten thousand

8:50

unemployed up

8:52

440 000.

8:56

so we have to think about this at the

8:58

same time as wages aren't going up so

9:00

really uh that much what's Happening

9:02

Here

9:03

is you're probably seeing let's take a

9:07

look here household data which again

9:10

reports on individuals

9:14

individuals nobody really cares how you

9:17

spell it Kevin just get to the point

9:18

minus 339

9:21

000. do I have that correct

9:23

minus oh 310 000. okay fine minus 310

9:28

000 jobs

9:30

that's the household data the payroll or

9:33

the establishment

9:36

survey reports on businesses that's kind

9:39

of like yo business how many how many

9:40

people you got on payroll that actually

9:42

shot up

9:44

by three hundred thirty nine thousand

9:46

and then the number of unemployed

9:49

shot up by four hundred and forty

9:53

thousand so this is soft

9:56

uh right so fed working

10:00

this is soft fed working

10:04

this is stupid

10:07

and and then the point three percent

10:11

uh wage gain month over month is good

10:14

the point four or the sorry the four

10:16

point three percent year over year is

10:17

lower than expected

10:20

and last month

10:22

months month over month went down from

10:26

point five to point four percent and

10:29

like

10:31

I don't suppose I would argue that the

10:34

data is rigged but I suppose if I were

10:36

going to rig the data it would look

10:38

something just like this

10:42

uh okay yeah wow very interesting uh so

10:48

uh let's see here

10:52

job gains have averaged 314 000 this

10:55

year

10:56

470 000 cents 2020. in the 10 years

11:00

before the pandemic employers added

11:03

about a hundred and eighty seven

11:04

thousand on average so this is the 14th

11:07

straight beat on average

11:10

since what what is this on average since

11:14

uh

11:15

pandemic or all right 10 years since

11:18

pandemic 10 years prior to pandemic 187k

11:21

average wow this is remarkable now I'm

11:24

curious to see what gear what effect

11:27

this actually has on on some of our

11:30

markets so well let's look at exactly

11:32

that we have here's your NASDAQ look at

11:36

that volume first of all coming in right

11:38

here uh as the data comes out at first

11:41

you get this massive dump

11:43

and then you get a recovery and then you

11:45

get a dump again so you're at about

11:46

point three percent you're down about 15

11:48

basis points from where you were before

11:49

the report on the NASDAQ if you look at

11:51

the spotlight you're at 422 you're at a

11:55

fibi level the Spy is basically like oh

11:58

my God this is terribly great the Spy is

12:02

actually up like eight basis points uh

12:05

Tesla's off 1.3 you've got uh uh OCTA

12:10

you know up 1.3 after that like minus 20

12:12

day it had uh yesterday yeah okay minus

12:15

17.8 C3 AI is up 13 Point uh or down 13

12:19

yesterday down another two percent today

12:21

what's this carvana we were crazy like

12:25

22 yesterday Redfin six percent

12:28

yesterday Nvidia five percent yesterday

12:29

up 8.8 here in pre-market uh Embry air

12:33

was up four percent yesterday

12:36

wow okay so what about uh DJI every time

12:40

I type DJI for Dow Jones Industrial I'm

12:43

like drones uh okay fascinating so uh

12:48

let's let's now let me see what else

12:50

Wall Street is saying here uh other than

12:54

Kevin still needs to raise the prices on

12:56

the courses so you still have a few

12:58

hours left of checking out on any of

13:00

those programs or send us an email uh

13:02

we've already caught up on all the

13:03

emails but if so if you wanted to fill

13:06

the team up again you could do that

13:07

email us at staffmbecue.com but I will

13:09

get it taken care of uh after I after I

13:12

get my work done uh this morning so

13:14

anyway

13:15

Bureau of Labor Statistics notes that

13:17

employment gains in May came in these

13:20

sectors Business Services government

13:22

Health Care construction we already went

13:23

through that uh okay what is this here's

13:26

an industry breakdown of I don't really

13:27

care about that that's what we already

13:29

went through that's stupid I don't care

13:30

uh okay oh treasuries so what's going on

13:33

with treasuries and then we need to see

13:35

in a moment what's going on with a

13:38

five-year break even the five-year Break

13:39

Even lags a little bit so we'll go to

13:41

that in in probably a few minutes but

13:44

it's just it's just this is just insane

13:48

um okay so treasure yields technically

13:51

up a little bit I mean like the 10-year

13:54

treasury is up like four bips

13:56

who cares it's that 3.64 the treasure

13:59

yields in a weird way are actually

14:01

popping they were trying to pop off a

14:04

little bit we don't know if that'll

14:05

actually hold but I can't say that like

14:08

a 4-bip rise on the 10-year treasury is

14:10

that big of a deal it looks like a big

14:13

deal

14:14

but that's because I'm looking at a day

14:15

chart and I'm literally looking at a

14:17

chart going from 3.61 to 3.64 like who

14:20

cares

14:21

so so that's not a big deal

14:25

that's so weird this is quite bizarre

14:27

what are they saying here I mean I

14:29

wonder if they're just equally oh oh the

14:32

second I go to them they go to

14:33

commercial your blastard

14:37

okay let's try Bloomberg then weird

14:40

economy in terms of hiring that's a

14:43

little bit of worrisome for the fed and

14:45

the inflation because all the

14:46

disinflations coming from the goods and

14:48

so if Goods prices are stabilizing and

14:51

goods hiring is increasing which is what

14:53

we see in this report then you know you

14:56

may have the consensus outlook here

14:58

which is focused on these napum surveys

15:00

the pmis we got it earlier the isms you

15:03

know collapsing into recession levels

15:05

that may just be a nominal effect yeah

15:07

well and that's also true that's the big

15:09

thing is like this is not a recessionary

15:10

level Igor Igor

15:13

zagalowski says he has the answer okay

15:16

you ready for Igor zekulowski uh his

15:20

answer he's in is this Russian

15:22

disinformation

15:24

okay Igor says people who work from home

15:27

are getting two jobs on paycheck and

15:29

productivity is zero that's why we have

15:33

this nonsense payroll up

15:35

unemployment up hilarious I mean you're

15:38

not wrong in fact there are there are

15:41

some people who will get a remote job

15:44

and then they'll get another remote job

15:46

and they basically get another remote

15:47

job and they make it their job to get as

15:49

many remote jobs as possible

15:51

and they'll sit there and have four or

15:53

five remote shops this happened a lot

15:54

during the pandemic and they basically

15:57

won't even work they'll just wait to get

15:59

fired and as they wait to get fired

16:02

they're collecting the paycheck and then

16:04

it takes the companies like four or five

16:06

months to realize that remote worker

16:08

isn't actually performing

16:11

their duties and then they get fired but

16:14

in the meantime they just got paid five

16:16

jobs like for five months and then they

16:18

just kind of keep adding a new job at

16:20

the end

16:21

so yeah to some extent remote work uh

16:23

has has some catching up to do with with

16:26

how we count it uh so so you're not

16:28

wrong uh Igor uh so uh but Igor says

16:33

this is very bearish

16:35

uh so and then Gary Roberts says Igor is

16:39

a bot and not Steve says Igor is Polish

16:42

not Russian okay whatever

16:45

I I guess the the point is yeah we gotta

16:49

look at the five five year break even a

16:50

let's pull that up really quick uh but

16:52

the point is

16:54

however you measure it uh as as weird

16:58

and as rigged it feels

17:01

it's very hard to look at it and say

17:04

with certainty it's a hundred percent

17:07

bearish like even if people are working

17:10

two jobs uh

17:13

fine then then uh but then again

17:18

it you know like I say either way you

17:21

look at it it's like if you take out the

17:23

multi-counting then the fed's job is

17:25

working right if you take out the

17:27

multi-counting by looking at the

17:28

household survey well then the FED just

17:30

destroyed 330 000 jobs

17:32

or 310 000 or 310 000 jobs so if you

17:36

want to look at no multi-counting the

17:38

FED just destroyed 310 000 jobs so if

17:41

that's doing a good job if you want to

17:43

look at the FED avoiding a recession

17:44

well then then you could cite the

17:46

payrolls reporting go the FED just

17:48

created 333 9 30 339 000 jobs

17:53

and then if you want to look at

17:54

inflation which is the important one

17:57

you look and go inflation for wages are

18:00

right at expectations and actually came

18:02

in softer for the year over year

18:05

and the month over month last month you

18:07

had a revision

18:09

The Five-Year Break Even is like

18:11

I don't know what to think of this

18:13

here's the five year Break Even which

18:16

just ticked up from 2.08

18:21

but dude

18:24

look at the trend like

18:27

yeah really do we really care that the

18:30

five-year break even just ticked up four

18:32

basis points no it is volatile it has

18:36

its little you know five to twenty Point

18:38

moves all the time you just want to pay

18:40

attention to it to make sure it doesn't

18:41

unanchor scene that's that's the big

18:43

thing that regularly I would argue that

18:46

everybody misses when it comes to okay

18:49

Igor wants you to know he's Macedonian

18:52

not polish or Russian

18:55

it's exactly what a Russian would say

18:59

sorry but anyway so the the big thing

19:02

that the that that essentially people

19:05

are missing about the FED is this idea

19:07

that oh well well the FED has to get

19:10

inflation down faster that's still above

19:13

two percent Kevin

19:15

no

19:16

what is the historical precedent of the

19:19

FED getting inflation down well the

19:20

historical precedent of the FED getting

19:22

inflation down is let's wait 20 years to

19:25

get inflation down

19:26

that's what they did after we got Paul

19:29

volckert they waited 20 freaking years

19:31

to get inflation down

19:33

so in that case

19:36

as long as inflation expectations are

19:38

stable the fed's in no rush and Jerome

19:41

Powell could be like

19:42

I will have my tea and crumpets and be

19:45

happy because I'm getting a building or

19:48

a Mount Rushmore or something dedicated

19:50

to me

19:52

um

19:54

this by the way is a massive Batman cup

19:56

uh what's kind of cool about it is it's

19:59

got this really like badass handle right

20:01

here the only downside is when I hold

20:04

that badass handle you can't see it

20:06

anymore

20:07

then again you know it's there so

20:12

yeah look

20:15

I know people say they're like oh Kevin

20:18

you just you just always have a busy

20:20

space

20:21

no I don't

20:23

it certainly wasn't bullish about

20:25

rivienne or the market

20:27

um but

20:31

this isn't that bad from the biggest the

20:35

most important thing that came out of

20:37

this report in my opinion was the wage

20:40

growth because we do not want to see an

20:42

inflation or wage price spiral remember

20:44

what got me to flip-flop in the first

20:46

place if you go all the way back to the

20:48

first flip-flop Jan 2022 it was a wage

20:51

price spiral nobody's talking about a

20:54

wage price spiral anymore literally

20:56

nobody is talking about a wage price

20:58

spiral why is nobody talking about a

21:00

wage price spiral because there is no

21:03

wage price spiral if anything there's

21:05

like a deflationary wage price spiral

21:08

potentially going to happen because of

21:09

AI

21:11

like if you're not learning AI you're

21:13

getting left behind that's why we're

21:14

releasing all the AI lectures

21:16

on June 6th at 6 pm

21:20

Macy's this was entertaining

21:23

I tweeted this part yesterday but I want

21:25

to point it out

21:27

uh yesterday we we were going through uh

21:29

some of retails earnings calls in the

21:32

course member live stream just to check

21:34

what inflation is doing that's what we

21:35

do we looked at Nordstrom we looked at

21:38

Macy's you look at their earnings you

21:39

look at their earnings calls we do this

21:41

every day we try to do fundamental

21:42

analysis every single day the market is

21:44

open and Macy's listen to what I wrote

21:46

on the tweeters

21:48

you ready for this you can look at my

21:51

beautiful little yellow check mark isn't

21:53

that nice it's for a team it's beautiful

21:55

it's shiny it doesn't matter okay so

21:57

here Macy's is literally trying to

22:00

convince investors the markdowns and

22:03

massive price

22:05

reductions happening in stores are just

22:09

following quote you ready for this

22:11

here's here's Macy's explanation for

22:15

markdowns and massive price reductions

22:16

quote

22:18

We are following our enhanced pricing

22:21

algorithms

22:22

We are following our pricing science

22:25

tools

22:26

we are conducting promotions with

22:30

precision and we are simply updating our

22:34

marketing messaging

22:36

in other words our pricing is very

22:39

robust

22:40

no it's not

22:42

these are all euphemisms for

22:45

we suck and prices are going down but

22:49

this is exactly what you would tell an

22:51

investor in your earnings call because

22:53

Macy's thinks you're stupid

22:57

and thinks you're gonna go oh oh yeah

23:00

you're dropping prices because you have

23:02

enhanced pricing algorithms why don't

23:05

you just come out and say you have ai to

23:07

tell you you need to drop prices because

23:09

you know what that would just make us

23:11

really happy you're dropping prices

23:14

15 patients going away it's crazy it's

23:18

crazy

23:19

so uh somebody here writes uh Business

23:21

Insider blamed AI for the people laid

23:24

off uh maybe

23:26

uh

23:28

uh then uh yeah there's there's no

23:31

inflation going to the Moon why is the

23:33

bond market moving higher so why would

23:35

the bond market move higher on this the

23:36

bond market would move higher on this

23:38

because the initial impression is that

23:42

oh well

23:44

this means the Fed

23:46

is going to have to keep rates higher

23:49

for longer maybe not necessarily higher

23:52

but at least for longer and the longer

23:57

rates are up the more uh people end up

24:01

uh

24:03

you know the more you end up seeing

24:06

bonds get dumped and then when bonds get

24:09

dumped the price of those bonds go down

24:13

and the yields go up in other words what

24:16

you have to be compensated to stick your

24:18

money into stupid bonds has to go up the

24:21

only reason you should put your money

24:22

into bonds is if you really need the

24:24

cash for something like you're gonna go

24:27

shopping for Real Estate there's no way

24:29

in hell if you're going to go shopping

24:30

for Real Estate you should really

24:32

probably be speculating

24:34

on you know your locals is the stock

24:37

markets just don't know uh or you know

24:41

but otherwise your opportunity cost is

24:43

massive to sit there and oh I'm making

24:45

five percent fine

24:48

uh but uh in addition to to this

24:51

explanation for why yields are going up

24:53

if you look at now the uh Futures rate

24:56

monitor yesterday

24:59

after the FED leak that we were going to

25:02

see a pause you got this

25:05

yesterday we were at a 77 chance of a

25:08

pause

25:09

after today's data you're actually at a

25:11

66.9 chance of a pause

25:15

fascinating

25:17

Steve says Macy says AI so it must be

25:20

good

25:22

uh yeah yeah oh that's a really

25:25

interesting idea take these phrases

25:29

enhance pricing algorithms and such put

25:33

them into chat GPT and see what it

25:36

thinks

25:37

hey chatgpt if a company used the

25:41

following phrases to discuss price

25:45

reductions and markdowns are they trying

25:50

to make investors feel good or uh uh uh

25:55

while while actually facing

25:59

uh a lack of pricing power or how should

26:04

I

26:05

interpret these phrases from Macy's in

26:10

an investor earnings call

26:13

paste okay let's just see what it says

26:16

together

26:18

these phrases are certainly trying to

26:20

cast the company's pricing strategies in

26:23

a positive light as they tend to do in

26:25

earnings calls

26:28

each of them indicates a different

26:30

aspect of their pricing and marketing

26:32

strategies enhanced pricing algorithms

26:35

this implies the company is using

26:36

advanced technology or data driven

26:37

methods to determine optimal pricing and

26:40

deter oh look at that it suggests

26:41

they're using AI

26:43

to adjust prices okay uh it could be

26:47

about increasing prices where the market

26:49

will pair it oh oh you're saying there's

26:52

hope pricing science tools is another

26:54

way of saying they're using analytical

26:55

methods to determine pricing promotions

26:57

and precisions suggest their sales and

26:59

promotions are targeted based on the

27:01

data of consumer behaviors yeah but all

27:02

of this should be the default anyway

27:04

updating marketing messages seems to

27:06

indicate they're changing the way they

27:07

communicate about their prices and

27:08

promotions to customers they may be

27:10

trying to emphasize value well that's

27:12

exactly what everyone does when pricing

27:14

is going down well these phrases do

27:16

suggest the company is using more

27:18

sophisticated about this is that prices

27:19

they do not necessarily mean the company

27:21

is facing a lack comparison power you

27:23

know I disagree but okay it could be

27:25

that they're trying to use these methods

27:26

to maximize profits in a competitive

27:28

market however if these praise phrases

27:30

are being used in conjunction with the

27:32

news of lower than expected profits or

27:34

Revenue yes Macy's just dumped or if the

27:37

company is generally strugging

27:39

struggling the company just dumped it

27:41

could indeed be an attempt to make a bad

27:44

situation seem better

27:47

oh that's actually kind of hilarious

27:49

I'll this is what I like about the chat

27:51

GPT I feel like you're almost kind of

27:53

getting like you're you're it's like an

27:55

unbiased friend you say well it could be

27:57

this it could be that the only downside

27:59

is is like

28:00

where which is it

28:03

anyway very cool so

28:07

um there's the jobs data for you very

28:09

fascinating

28:11

and uh now let's uh let's go chat about

28:14

I don't know something else uh we could

28:16

listen to CNBC for a second we're gonna

28:17

I want to jump into a a very interesting

28:19

piece about uh talking about the history

28:22

of artificial intelligence from but but

28:24

or innovation from a way of what does it

28:27

do to the economy and what does it do to

28:29

jobs it's actually a really fascinating

28:30

piece so we'll go into that in just a

28:31

moment uh do keep in mind after we get

28:34

our work done this morning uh we got to

28:35

raise those prices on the programs on

28:37

building your wealth uh or the uh

28:39

increasing your income course uh whether

28:42

you're an employee or you're working for

28:46

yourself you're an entrepreneur you want

28:48

to see how to use AI actually

28:50

productively in your business you don't

28:52

want to just get inundated with a stupid

28:53

list of tools but you actually want to

28:55

see how can a real entrepreneur who

28:58

faces real entrepreneurial challenges

29:00

actually use artificial intelligence in

29:02

their daily lives to be a better

29:04

entrepreneur or employee that's what the

29:07

how to make more money and get sh9t done

29:09

faster courses for and then of course

29:11

all of these come with lifetime access

29:13

to the course member live streams and

29:15

the updates that we do to them in the

29:16

future so check those out link down

29:17

below we'll get that done we are caught

29:19

up on emails but if you want to email us

29:20

at one to uh Stafford me kevin.com now I

29:23

want you to know this when it comes to

29:24

AI

29:25

time is what's going to make you money

29:27

and if you can prove that value to an

29:30

employer you'll always be able to be

29:33

employed so this is another way of

29:35

making sure that you don't get replaced

29:37

but

29:42

foreign

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