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Cathie Wood SHOCKS with MAJOR Prediction / Catalyst

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0:00

Kathy Wood thinks GDP is going to 7% and

0:05

no that is a real number that she is

0:08

using which means it's inflation

0:10

adjusted. So if inflation's 2% she

0:12

thinks GDP is going to grow at 9%. In

0:15

this I'm going to break down exactly why

0:18

she says that. First, she thinks we're

0:20

coming to an end of an era of rolling

0:23

recessions. That this leftover lingering

0:26

weakness in the job market that we're

0:28

seeing underneath the hood in some of

0:31

the labor reports is just a lingering

0:34

indicator that hey, we're completing

0:36

rolling recessions. And once we're out,

0:38

once we're done with this, whether that

0:40

actually means we actually go into a

0:42

real recession or not, she doesn't

0:43

speculate on. But once we get through

0:46

this period, whether that's the next 6

0:48

months or a few years, she suggests

0:50

we're going to launch from these rolling

0:52

recessions into a quote rolling

0:54

recovery. Although many already suggest

0:57

the stock market is pricing in a rolling

0:59

recovery. We don't talk about that

1:01

either in this Kathy Wood breakdown

1:04

because she doesn't bring it up. So

1:06

Kathy says that we're likely going into

1:08

a market of higher growth because of

1:11

higher productivity, because of the

1:13

innovations. is much the same that we

1:15

saw in the 1990s. See, a lot of people

1:17

credit Bill Clinton for getting us back

1:20

to a budget surplus rather than a budget

1:22

deficit where basically we were bringing

1:24

in more money every year than we're

1:26

spending. A lot of people credit

1:28

politicians for this. Kathy Wood

1:30

actually credits the internet age for

1:32

this. She says, "The internet is what

1:34

enabled our economy to outgrow our debt,

1:38

leading to more revenues, which could be

1:40

taxed due to higher productivity,

1:42

meaning we were actually bringing in

1:43

more money than we were spending in the

1:46

'90s because of the internet boom, which

1:48

also ushered in the 1995 soft landing

1:52

and low inflation." Kathy Wood believes

1:55

that today we are in the next 1990s

1:59

boom. That no, artificial intelligence

2:01

is not a bubble. That instead we are

2:04

just now starting to harness the power

2:06

of artificial intelligence to determine

2:08

productivity uh and see productivity

2:11

enhances that will ultimately lead to

2:13

higher GDP and lower inflation. Now, she

2:17

briefly mentions that Elon Musk believes

2:20

that government spending is taxation and

2:21

that's why he's aligning so much

2:23

anti-Donald Trump, especially with this

2:26

American party and talk about really

2:28

trying to fight this continued deficit

2:30

spending, but she just doesn't see

2:33

inflation. And so her belief is that not

2:35

only is innovation going to keep

2:36

inflation down, but that M2 money

2:39

growth, the growth rate is very low.

2:41

Yes, it's positive, but it's relatively

2:43

low. and that really we could exceed all

2:45

of these concerns with frankly lower

2:48

rates and higher productivity over time.

2:51

So far she acknowledges no real

2:53

inflation in the May June statistics and

2:55

that again there's some cracks

2:57

underneath the hood in the jobs market

2:59

and the jobs market does take time for

3:01

example you know to show damage for

3:03

example the average work week is down

3:05

although it's really only down back to

3:07

2019 levels which we looked at some

3:09

charts and we're like okay yeah this

3:10

isn't that big of a deal uh and the

3:13

biggest warning she gives isn't about

3:15

the labor market it's actually about

3:17

software services businesses she talks

3:20

about how they're doing a lot of work

3:22

inhouse now because of SAS and frankly

3:24

or because of AI and frankly a lot of

3:26

SAS businesses that were previously

3:28

utilized to help make workers more

3:30

productive are just being replaced by

3:32

sort of in-house machine learning or

3:34

in-house you know neural nets

3:37

essentially that can help companies do

3:38

their own business. We were just talking

3:40

about how Amazon is kicking butt uh in

3:43

the way of integrating artificial

3:46

intelligence with fulfillment and

3:47

robotics to actually lower their

3:50

shipment costs and lower their product

3:52

costs while at the same time increasing

3:55

their revenues. Now, I personally look

3:58

at that and it's still unclear if that's

4:00

just because prices have been rising uh

4:03

as opposed to just unit volume growth,

4:06

but the numbers are pretty strong to

4:07

indicate that Amazon's doing pretty well

4:10

at making their business more efficient.

4:12

That's what they talk about in their

4:13

earnings call as well. So Kathy thinks

4:16

that even though we're starting to see

4:18

kind of a turn in consumption to the

4:21

downside,

4:22

you're seeing an environment where

4:27

people are going to have more money to

4:29

consume in the future. One of the

4:31

reasons she gives for that is she thinks

4:33

that autonomous vehicles are actually

4:34

going to make it way less likely for you

4:36

to have to spend money on a car in the

4:38

future. And gas prices are coming down

4:40

as well because we keep producing more

4:42

and more barrels of oil despite the fact

4:44

that the international blend for oil is

4:46

sitting around $70 per barrel. And this

4:48

is true. By the way, we were actually

4:49

just looking at uh Saudi um Saudi the

4:53

Saudis basically introducing as many as

4:56

548,000 barrels more per day in August

5:01

between OPEC plus. And uh while they're

5:04

increasing their prices for China,

5:06

broadly the market believes this is

5:08

because oil producers are actually

5:11

bullish that consumers are going to have

5:13

more money to spend the economy globally

5:16

is going to grow and so they want to

5:18

flood markets with oil and they are

5:21

making the bet that they're not going to

5:22

crash oil prices like JP Morgan and

5:25

Goldman Sachs believe. Kind of an

5:27

interesting point, but think about this.

5:30

If oil prices are down or stable and you

5:32

don't have to buy a new car because in

5:34

the future you could use a robo taxi or

5:36

some form of autonomous vehicle, then

5:38

maybe you have more money to spend on

5:40

other things like promoting efficiency

5:41

in your business or uh you know making

5:44

capital investments. Kathy Wood makes it

5:47

pretty clear that she's excited about uh

5:50

this 179 deduction from the big

5:53

beautiful bill where we now have 100%

5:55

expensing for capital equipment once

5:57

again which is kind of exciting. Now you

6:00

know robo taxis uh might still be a

6:03

little bit niche at the moment. So it

6:04

might be a little optimistic potentially

6:06

even overly optimistic to say that's

6:08

going to reduce spending for people for

6:09

now. But it's a good argument for the

6:11

longer term. And this is where things

6:13

get a little more weak, I think, on the

6:16

Kathy Woodian argument because first of

6:18

all, I agree with almost everything she

6:20

says. I do think there's a higher

6:22

likelihood that we get a substantial

6:26

valuation correction first, like some

6:28

kind of oopsy dupsy because people panic

6:30

and go, "Oh my gosh, like this like pain

6:33

of the jobs market is is hitting a lot

6:35

harder." We have no idea when that's

6:36

going to be. Uh, you know, will it be

6:38

before October or Halloween? Will it be

6:41

next year? No, nobody really knows.

6:43

Remember, Morgan Stanley is forecasting

6:44

1% GDP growth between Q4 uh of 2025 and

6:48

Q4 of 2026, which is pretty dismal. At

6:52

some point though, I highly agree that

6:55

our economy is going to boom again. And

6:56

this is one of the reasons why when

6:58

people ask me like, Kevin, aren't you

6:59

worried about the national debt? I

7:01

usually respond and say no. Even if our

7:04

national debt kept expanding at the pace

7:06

where it is now, our uh GDP to debt

7:10

ratio, which which I I kind of think

7:12

this is very useful when we look at this

7:14

sort of chart, it's it's high. Uh but

7:18

when we look at our interest outlays,

7:20

you know, so we can see GDP to debt

7:22

ratio, it's pretty high. It's not as bad

7:23

as it was during COVID when we were

7:25

spending like, you know, pretty crazies.

7:29

But if we look at our interest payments

7:31

as a percentage of GDP, um we go to that

7:34

St. Louis Fred website, we find that

7:37

interest payments have been higher in

7:38

the past than where they are now and

7:40

they're already starting to roll over

7:42

despite the fact that rates are still

7:43

pretty high. So by this, I personally

7:46

argue that we have the capacity as a

7:48

country to pay a lot more in interest

7:50

than we currently do. Not that we want

7:52

to, but we basically we can kick the can

7:55

down the road. And obviously if we we

7:56

can kick the can down the road, we're

7:58

going to kick the can down the road

7:59

because that's just what we do in

8:00

America. So assuming we kick the can

8:02

down the road, it means that we're not

8:03

really worried about a deficit crisis in

8:05

the very near term. And in the longer

8:07

term, I personally am an optimist about

8:10

the very long term that whenever we get

8:12

through whatever it is we get through

8:13

over the next year or two or 6 months,

8:15

whatever it ends up being, I agree with

8:17

Kathy that we we could be in for a

8:19

productivity boom. Now, who wins in that

8:22

productivity boom? Well, I don't know.

8:24

That's the hard part because everybody's

8:25

wondering like, okay, is is AI a bubble?

8:28

Is the Donald Trump AI spending of

8:31

infrastructure or these trillions of

8:32

dollars actually going to happen?

8:36

Who knows? Uh, so I guess it remains to

8:40

be seen, but where at least at this

8:43

point, I agree with Kathy Wood. Up to

8:45

this point, I agree with a lot of what

8:47

Kathy says. I do think she should give

8:49

us a little bit more color on her

8:50

thoughts that we could potentially

8:51

V-shaped down first in some form of uh

8:54

recessionary dynamic based on the labor

8:56

market, but I have a feeling she didn't

8:57

bring that up because the labor market

8:59

data isn't so bad yet that we really

9:02

need to be freaking out about it. But

9:04

again, it's a lagging indicator, which

9:06

she does acknowledge. That said, take a

9:08

look at this. She says here that housing

9:11

will have big strength going forward

9:14

into GDP as rates fall. I could see this

9:17

because usually the new construction

9:20

homes are most sensitive to interest

9:23

rates. And in fact, Kathy Wood brings up

9:27

this chart right here. This chart shows

9:29

you new home prices versus existing home

9:32

prices. And what you'll find is that new

9:34

home prices have actually been declining

9:37

on a percentage basis, the 3-month

9:39

moving average for the last about year

9:42

and a half, whereas existing home prices

9:44

are still positive. Now, Kathy didn't

9:47

acknowledge the spread between this and

9:49

accidentally said that existing home

9:51

prices were falling on average. They are

9:54

not. They are simply growing positively

9:56

at a smaller rate. And this is her

9:58

chart. And I could forgive this as a

10:00

little oopsie-doopsy, which is fine

10:02

because we could look at the chart and

10:03

see the data that she's actually

10:04

pointing out. But what I actually am

10:06

most surprised about that she didn't

10:08

mention is the volatility between the

10:10

two and the spreads. So you'll find here

10:13

is that the purple line is significantly

10:16

more volatile than the the uh bluish

10:18

greenish line here. Why is that? Well,

10:21

it's usually because when you have a new

10:23

construction neighborhood, you're

10:24

selling substantially more volumes of

10:26

homes. It's not like that neighborhood

10:28

that everybody wants to be in where

10:29

there are three homes that come up for

10:31

sale out of a 100 homes. It's usually a

10:34

3% ratio every single year. And so if

10:36

you want to get into that home in that

10:38

neighborhood, you got to pounce on that

10:39

home. That lack of supply actually helps

10:42

boost home values because people want to

10:44

be in established neighborhoods,

10:46

especially neighborhoods that already

10:47

have kids or families or whatever that

10:49

they can kind of drive around and like

10:50

make their little judgments on. Do we

10:52

want to live in this neighborhood?

10:53

Right? That's what makes some

10:54

neighborhoods more desirable than

10:55

others.

10:56

With new construction home

10:57

neighborhoods, you're kind of making a

10:59

gamble because you kind of have a

11:00

hundred homes that come up for sale

11:02

essentially at the same time. You know,

11:04

call it 50 year 1, 50 year two, right?

11:07

So, you have a lot more interest rate

11:09

price sensitivity because you have less

11:11

established

11:12

valuation in the neighborhood. And the

11:15

people coming into the new construction

11:16

homes are usually stretching themselves

11:19

because you're selling these new

11:20

construction homes at the peak price you

11:22

possibly can by throwing in as many

11:24

builder upgrades as you can which are

11:26

way overpriced. And so you get a whole

11:28

lot more interest rate volatility. In

11:30

fact, you could see exactly that here in

11:32

2018 where you actually saw new

11:34

construction home prices go negative in

11:37

2018, partly because of Donald Trump's

11:40

trade war and then the bond market

11:42

disaster that we had at the end of 2018.

11:45

You actually saw prices here get hit and

11:48

you saw that growth rate in existing

11:49

home prices dip a little bit as well,

11:52

though nowhere near as volatile or go

11:54

negative or, you know, didn't go

11:55

negative as we saw here. So, these are

11:58

just little things that that we know

11:59

about real estate, but then again, we

12:00

work real estate every single day,

12:02

right? So, so we know real estate really

12:04

really well and it's it's worth kind of

12:06

looking at some of these differences. I

12:08

also take issue with this idea that, you

12:10

know, counting crypto and agency

12:12

supported mortgages and qualifying could

12:14

open the housing market. I don't really

12:16

think so. Usually, when you get a

12:18

30-year fixed rate loan, the amount of

12:20

money you need in reserves, if you have

12:22

a uh you know, if you have a job, it's

12:24

like two months. It's really not that

12:25

big of a deal. So, you need your two

12:27

months PITI in reserves. Uh, usually if

12:30

you're self-employed, you need as much

12:31

as 6 months in reserves. That gets a

12:33

little pricey for people because now if

12:35

your payments, you know, 5 grand, you

12:37

need 30 grand in reserves. So, using

12:39

crypto potentially for those

12:41

self-employment scenarios might be more

12:43

useful. But I see it as less of a big

12:45

deal for your normal home buyer. And I

12:47

really don't see it as sort of opening

12:49

up a a very large swath of the market to

12:52

suddenly buying homes that previously

12:54

weren't. So I don't really see that as a

12:56

needle mover, but everybody's got a

12:57

different opinion on that. But it is

12:59

worth again looking at this chart and

13:00

then even looking back to 2006 where

13:03

again we saw this sort of boom in home

13:05

construction and that's when you saw

13:07

this boom. That's when you saw new these

13:10

new homes kind of fall under the value

13:12

of existing minus obviously once we went

13:14

into the recessionary environment here

13:16

which is sort of kind of like a bizarre

13:19

phenomenon that when you were in a

13:22

recession new construction homes

13:24

actually sold for more than existing

13:26

homes. And that seems like that happens

13:28

during these recessionary environments.

13:30

Uh at least this this you know 2008

13:33

housing crisis over here. Kind of

13:35

fascinating. Part of that could be

13:37

because of migration. We've regularly

13:39

talked about that as well where, you

13:41

know, in the 2008 housing crisis versus

13:44

what we're seeing kind of today,

13:47

you have a lot of similarities in where

13:49

you're building homes. Uh, you know, you

13:52

had a housing boom in Florida uh in in

13:55

2008, much like you do today. So some

13:58

people say, hey, that actually creates

13:59

some hope for this chart that maybe if

14:02

there is some form of recessionary

14:03

environment, existing home prices could

14:05

catch up in a recession and fall down

14:08

and the new construction will sit on

14:09

top. Who knows? The point is usually

14:11

they converge pretty decently. And when

14:14

you see these gaps, in my opinion, it's

14:16

often because of interest rate gaps. And

14:18

one of the reasons why again you could

14:21

going right back to interest rates, you

14:22

potentially saw those higher new home

14:24

prices over here is because interest

14:26

rates plummeted. The remember the first

14:28

thing the Federal Reserve does is dunk

14:30

interest rates. I think new construction

14:33

is most responsive to lower interest

14:35

rates versus existing homes uh supply.

14:39

And uh and the money printing usually

14:41

doesn't start until the end of the

14:42

recessionary cycle. So, a lot of ways to

14:45

slice it, but my opinion broadly uh is

14:49

that new construction is your most

14:51

sensitive uh asset for interest rates,

14:54

which does also set up the idea that if

14:56

for whatever reason we cut rates

14:58

dramatically under a new Fed chair next

15:00

year, hey, maybe there's an argument to

15:02

look into those home builders or lenders

15:05

as potentially investment opportunities.

15:08

Kind of interesting. Uh so then what

15:11

else do we get? We get this talk that

15:13

CPI inflation could be lower because of

15:15

housing costs coming down. Kathy talked

15:17

a little bit about housing prices

15:19

potentially coming down leading to CPI

15:21

being lower. But usually what we use are

15:23

owner equivalent rent reads. So

15:26

basically the idea here is that if new

15:29

homes are falling in value, rents might

15:32

be lower because the cap rates you

15:33

demand as an investor lower. Therefore

15:36

we get less of an inflationary impetus.

15:38

It makes sense. It's skipping a few

15:40

steps there. But I actually agree here

15:42

with Kathy that yes, if we have more

15:44

supply, rents come down. Uh, and it's a

15:48

benefit to those overbuild markets. It

15:51

was actually I I can't remember where I

15:53

said it, but it was just about, you

15:55

know, 20 30 minutes ago or so. We were

15:57

talking about this. We said the best

16:00

thing for you to do if you want

16:03

deflation in housing is just build more

16:06

homes. So, if you're a real estate

16:08

investor, you need to know this as an

16:09

investor. If you're a real estate

16:11

investor,

16:12

you want prices to go up and so you want

16:14

to buy homes where they're not building

16:16

as many, where you have dumb politicians

16:18

blocking your ability to, you know, to

16:21

have a lot of new construction. Uh, if

16:23

you want more affordable housing, you

16:26

should be demanding more free market

16:28

construction, not affordable housing,

16:31

because you still need investors to help

16:32

you drive demand. uh and and the more

16:35

demand you have, the more builders you

16:36

have come in and then you get sort of

16:38

the Austin, Texas where prices actually

16:39

come down. But as soon as you put

16:41

housing restrictions in place, like

16:43

quote unquote affordable housing, which

16:45

usually have these layered rules for how

16:47

they're built, the quality material

16:49

they're built with or whatever, which

16:50

often is worse. Typically, you find

16:53

quote unquote affordable housing is just

16:55

lower quality uh and and uh ends up

16:59

increasing pricing because you create

17:00

this lack of supply because people

17:02

aren't building as much as they should.

17:04

It distorts the entire real estate

17:06

market. What you really want is a free

17:09

market if you want housing to be

17:11

actually affordable. And that's what you

17:13

get in a place like Austin, Texas, where

17:15

yes, prices have come down from some of

17:17

their bubble peaks because of the

17:19

overbuilding. So that said, uh then

17:21

Kathy gets into this idea that longer

17:24

term she believes the Treasury market

17:25

will come down once people realize

17:27

there's a lack of inflation. She thinks

17:29

China is still suffering because they're

17:31

still going through a housing bubble

17:33

burst. uh and she says that uh junk

17:36

yields relative to 10-year spreads are

17:40

at lows in her opinion setting up for a

17:43

potential bubble there as maybe too much

17:45

capital is going into sort of private

17:47

credit and she suggests that could end

17:48

badly. That said, she also thinks that

17:52

this market recovery that we're seeing

17:54

is actually healthier than what we saw

17:55

in 2023 because

17:58

this is a very broad bull market

18:01

recovery. So overall, Kathy very bullish

18:06

uh on uh on basically the market and the

18:09

economy over the next few years and she

18:11

thinks this is just the beginning of the

18:14

recovery. What do you think? Why not

18:17

advertise these things that you told us

18:18

here? I feel like nobody else knows

18:20

about this. We'll we'll try a little

18:21

advertising and see how it goes.

18:22

Congratulations, man. You have done so

18:24

much. People love you. People look up to

18:26

you. Kevin Pra there, financial analyst

18:28

and YouTuber. Meet Kevin. Always great

18:30

to get your take.

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