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Cathie Wood on How AI Can Double GDP, Bull Case for Bitcoin $1M, Elon’s Trillion-Dollar Pay Package

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Cathie Wood on How AI Can Double GDP, Bull Case for Bitcoin $1M, Elon’s Trillion-Dollar Pay Package

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440 segments

0:02

One of the most disruptive and

0:04

innovative forces in the ETF world

0:06

today, the investor queen Kathy Wood.

0:08

The ARC Innovation ETF trading now near

0:11

a 52- week high returned an astounding

0:13

148%

0:14

>> returning more than 170% last year now

0:17

has $17 billion under management. My

0:20

conviction is so high because of what I

0:22

do on a day-to-day basis. We are doing

0:24

original research trying to figure out

0:26

these companies that are going to

0:28

transform the world.

0:31

>> Ladies and gentlemen, please welcome Art

0:35

Invests Kathy Wood.

0:44

[Music]

0:47

Well, greetings. I'm so delighted to be

0:50

here. Uh my maiden voyage. uh and I am

0:54

here to talk about how the world's going

0:57

to transform uh during the next 5 to 10

1:00

years uh and how much more rapidly we

1:05

will see real GDP grow and how low

1:10

inflation is going to be and why. So

1:12

here we go. Here is a timeline of

1:15

innovation

1:17

and uh you can see it goes into the

1:19

1700s

1:21

and our chief futurist Brett Winton in

1:24

conjunction with academics pulled this

1:26

together and what you're seeing here is

1:29

the impact of innovation on productivity

1:33

and you can see in this time we've had

1:37

two great eras. The first one was in the

1:43

late 1800s, early 1900s. Telephone,

1:47

electricity, internal combustion engine,

1:50

huge boost in GDP growth. And in fact,

1:55

prior to that, for the 400 years prior

1:58

to that, real GDP growth had been

2:02

averaging about 0.6%

2:06

per year. Very slow. After that, we went

2:11

into a 125 year period of 3% real GDP

2:17

growth. So, a five-fold increase from

2:20

0.6 to 3%. You have to move uh to

2:25

forward to today to see multiple

2:28

innovation platforms evolving at the

2:31

same time. So for the first time in 125

2:34

years this time there are five platforms

2:37

not three major platforms and they

2:40

involve 15 different technologies. This

2:44

is very important in terms of how to

2:47

research and analyze the world. It's not

2:50

going to be by sector or industry

2:53

anymore. It is going to be by technology

2:56

because technology is permeating every

2:59

sector, every industry and blurring the

3:02

lines between them. So you can see five

3:04

here. We believe that the productivity

3:08

uplift here is going to be so strong

3:11

during the next 5 to 10 years. And I

3:13

think President Trump's tax package is

3:17

going to turbocharge this that real GDP

3:21

growth will accelerate from that 3%

3:24

where it has been for the last 125 years

3:27

towards 7% plus. And we think that could

3:31

be conservative. That's a little more

3:33

than two times as opposed to the

3:36

five-fold uplift before. So, get ready.

3:40

But the other thing that we think is

3:42

going to happen is that inflation is

3:45

going to surprise

3:47

significantly on the low side of

3:49

expectations. We would not be surprised

3:52

to see 0% inflation or less as we exit

3:58

the tariffs here. and and the way

4:01

they're uh getting through the indexes

4:04

and and move forward into this new age

4:08

of technological explosion. One of the

4:11

reasons for this explosion is not just

4:15

the five platforms. So I should have

4:17

named them robotics, energy storage,

4:21

artificial intelligence, blockchain

4:24

technology and multiomic sequencing.

4:27

five major platforms involving 15

4:30

different technologies. And here you can

4:33

see why we think we're going to see

4:35

explosive growth. It is the convergence

4:38

between and among these technologies. So

4:42

just to give you uh two e examples of

4:45

convergence in the autonomous mobility

4:48

space that is the convergence of

4:51

robotics,

4:53

energy storage and artificial

4:55

intelligence. Now, each one of those

4:58

technologies or platforms is following

5:02

its own scurve

5:04

and we are moving into the sweet spot of

5:08

the S-curve now that autonomous taxis

5:12

are debuting in the case of Tesla in

5:15

Austin and San Francisco. Whimo's been

5:17

there for a while. Just think about

5:19

that. One Scurve feeding another Scurve

5:23

feeding another Scurve. That's why we're

5:25

going to see explosive growth. Another

5:28

example is in the healthc care space.

5:32

While the autonomous mobility space

5:35

might be the biggest revenue generator

5:37

in the short term, we believe that the

5:40

most profound application of AI is in

5:44

healthcare and that's the convergence of

5:47

sequencing technologies and artificial

5:50

intelligence and technologies like

5:54

crisper gene editing. And I think this

5:56

is the sleeper. It's the most

5:58

inefficiently priced part of the market.

6:00

So you can see why it's going to be so

6:03

important to set up research departments

6:05

by technology, not by sector or

6:09

industry. And on this last page here,

6:12

here is what we think is going to happen

6:15

to the equity market in terms of

6:18

valuations.

6:20

So you can see in the turquoise there,

6:24

that's the MAG Six. The Mag Six. Uh, it

6:28

used to be called the Mag 7, but they

6:30

threw Tesla out when it wasn't behaving

6:33

like the rest of the MAG 6. So, you can

6:36

see from 2019 to 2024, the MAG 6

6:42

tripled, they tripled in valuation in

6:46

the market market cap. Whereas truly

6:48

disruptive innovation in the purple at

6:51

the bottom there went up only 30%. And

6:55

that's because investors were playing it

6:58

safe and they were uh they were

7:01

investing only in the largest most

7:04

cashrich stocks in the market. That was

7:07

a very difficult time for innovation for

7:09

venture capital generally

7:12

and you can see what we expect to happen

7:15

between well really the next five years

7:18

the uh mag six some of them will do well

7:22

some are facing headwinds. Apples in the

7:25

AI space are well documented and now we

7:28

think it is truly disruptive

7:31

innovation's time to shine in the

7:34

market. I feel as though a rubber band

7:37

has been stretching for the last four

7:39

years and it let go with the election of

7:44

Donald Trump. That's when truly

7:47

disruptive innovation started to to

7:50

shine and the stock market started to

7:53

broaden out from the very concentrated

7:57

max six strategies into much more

8:02

widespread

8:04

disruptive innovation. In other words,

8:06

risk appetite and time horizon is

8:10

starting to extend here. And I think the

8:13

tax package, especially the corporate

8:16

tax cuts, which most people haven't

8:18

focused on, full depreciation of

8:20

structures first year they're put in

8:22

service, full expensing of equipment,

8:26

R&D domestic and software in year 1.

8:30

These are huge, huge incentives to

8:33

invest now. And I think that's exactly

8:36

what's going to happen. And you can see

8:38

the difference here. the truly

8:40

disruptive innovation we would expect.

8:42

Now we did this chart at the end of last

8:44

year during the next five years to

8:46

deliver a compound annual rate of return

8:49

of roughly 50%. Now we've had some of

8:52

that so maybe it's 40 to 45% compound

8:57

annual rate of change. Uh and this is in

8:59

the public equity world. in the private

9:02

world. Uh just wait until you see with

9:06

that

9:07

disclosures. Of course,

9:10

>> they know the disclosure.

9:12

>> Ladies and gentlemen, Kathy Wood. Kathy,

9:14

join us.

9:15

>> Thank you.

9:16

>> Thanks for watching.

9:24

>> Thank you so much for coming. I know

9:25

you're very busy.

9:26

>> My pleasure. You're projecting in 5

9:29

years, Bitcoin hits 3.8 million per

9:33

coin. That's five times the market cap

9:35

of gold, which has hit an all-time high.

9:39

>> Walk us through the math here.

9:40

>> So, uh, I'm going to just correct that a

9:42

bit. So,

9:43

>> okay.

9:44

>> Uh, our official for bull case is 1.5

9:49

million.

9:50

>> Okay.

9:50

>> Now, what what got us to that 3.8 8 is

9:55

using modern portfolio theory. Uh if we

10:00

were to include

10:03

uh Bitcoin in portfolios at its optimal

10:07

weight, so maximizing the sharp ratio

10:12

that would have provided that increment

10:15

to 3.8 million. Now, believe it or not,

10:18

that position size when we did that

10:21

analysis was 19% of a diversified

10:27

portfolio.

10:28

>> That's a lot.

10:29

>> That's a lot.

10:30

>> Yeah.

10:30

>> I have more in mine.

10:32

>> Well, you swing for the fences. When

10:34

your cousins, your when civilians ask

10:38

you, "Hey, how much Bitcoin should I

10:40

own?" What's the number you would say in

10:43

private to a family member?

10:44

>> To a family member.

10:45

>> Yeah. you you want to protect them.

10:47

You're not like, "Hey, we're

10:49

>> we're swinging for the fences. This

10:50

needs to be our home run." But

10:52

>> I'll tell you what I've told my children

10:55

for a long time now is average in. I

10:58

mean, you know, average in, you know,

11:01

every month, every just average in and

11:04

uh and and then I would leave it to them

11:07

in terms of their comfort factor.

11:08

>> Got it. Kathy, can I ask you about Yes.

11:10

So ARC has

11:13

this ability to be a vehicle for a lot

11:16

of folks that are just living their

11:18

normal day-to-day lives and they want

11:20

the answer to what is going to do well

11:23

in the future and they can go and they

11:25

can they can buy your ETFs and then they

11:27

can participate in that future. There's

11:29

a lot of people that are frustrated

11:31

palpably frustrated with an inability to

11:33

sort of get ahead and break through

11:36

build wealth

11:38

first. What is economically happening in

11:41

in America that prevents so many people?

11:44

What do you see? Number one. And then

11:46

number two,

11:48

what characteristics and responsibility

11:52

do retail investors have? If they're

11:54

going to yolo this and if they're going

11:56

to buy this other thing and they're

11:57

going to try to go further out on the

11:58

risk spectrum, what is their

12:00

responsibility so that there's no crying

12:02

in the casino?

12:03

>> There are ways to access innovation. And

12:06

one of the question many ways of course

12:09

uh we have packaged it up. We don't look

12:13

anything like a traditional benchmark.

12:16

So if they're diversifying we're a very

12:19

good uh source of diversification

12:22

especially in trying to uh get exposure

12:25

to innovation. We also have a venture

12:28

fund. One of the questions I get

12:30

regularly from retail investors used to

12:34

be, why can't we access the private

12:37

markets? We know more about those

12:39

technologies than most of the

12:41

institutions who are buying them. They

12:43

have no idea. We're passionate about it.

12:46

And so we've gotten more vocal and this

12:48

administration is certainly uh becoming

12:51

more vocal and and and um more more

12:55

focused on this this particular idea

12:57

because it is unamerican, right? To you

13:00

have to meet this price.

13:01

>> Well, you use chat GPT every day, but

13:02

you can't buy OpenAI.

13:03

>> Exactly.

13:04

>> But you can buy a lottery ticket or you

13:06

can bet on sports

13:06

>> and it makes no sense. And I do think

13:08

it's going to change and I think this

13:10

administration

13:11

>> How should it change? Should we just

13:12

have and I've advocated for this before

13:14

on the pod uh and I believe you've

13:16

talked about it 6% of the country 5 6%

13:20

are accredited you got small number who

13:22

are QPS should we just have a test you

13:25

know you get a license to own a gun or

13:27

drive a car cut hair in this country why

13:29

not just have a simple accreditation

13:31

test you understand diversification you

13:33

understand private versus public assets

13:34

how to read a balance sheet wouldn't

13:36

that just solve the problem right quick

13:37

>> I mean I used to say you know it would

13:40

be what we're doing in the investment

13:42

world right now would be the equivalent

13:45

of saying you can't drive because you

13:48

don't h make enough money or you do not

13:50

have enough net worth. Take a test.

13:54

>> Take a test. And we we have this big

13:57

question in the country about

13:58

polarization of wealth. 50 60% of the

14:01

country has some exposure equities, but

14:03

the people who don't, they tend to trend

14:06

towards socialism or handouts. Maybe

14:09

they don't feel they're part of what we

14:11

experience, which is we meet great

14:14

founders and you get to do public and

14:16

private and we get to say,

14:17

>> "Yeah, you know, I drove in a FSD car

14:20

when Tesla was private or whatever it

14:22

is, and or I looked at Coinbase when it

14:24

was private or Uber. Yeah, I got the

14:26

sense I want to put one or two% into

14:29

that."

14:29

>> Yes.

14:30

>> Yeah. It does feel profoundly unfair,

14:31

doesn't it?

14:32

>> Yes. Yes.

14:33

>> Kathy, there's a lot of u market signals

14:35

right now that are flashing green.

14:37

there's a lot of market signals that are

14:39

flashing red. Do you feel that you have

14:41

to position actively to all of those

14:43

things or do you say you know what I

14:45

can't control this I need to look 5

14:46

years out. So how do you manage the risk

14:48

and how do you view the markets today?

14:50

>> Yes. Uh so the risk question obviously

14:53

we get a lot because our portfolios are

14:56

volatile. they don't look like the

14:57

benchmarks. And uh when markets get uh

15:02

uh into a bearish period, investors tend

15:07

to hug their benchmarks and we're moving

15:09

in the opposite direction. Uh so I just

15:12

want to say we do what we do and you

15:16

know that's what our adviserss expect.

15:18

They don't expect us to raise cash or or

15:21

do anything. They might that's their

15:23

decision, right? In terms of what we do

15:26

to control risk during bare markets, we

15:29

will concentrate towards our highest

15:31

conviction names. We have a scoring

15:33

system based on management, execution,

15:36

moat or barriers to entry, product,

15:39

service, leadership, valuation

15:40

importantly and thesis risk. So uh with

15:45

those scores we concentrate during bull

15:47

markets which I do believe we are in a

15:49

bull market that is broadening out. we

15:51

tend to diversify because the IPOs start

15:55

appearing again and um we have more

15:58

information on some of the companies

16:00

we've sold during the bare market.

16:02

>> Give us the read on Elon's trillion

16:04

dollar pay package.

16:05

>> You know what's so interesting about it?

16:08

Uh and this happened with the first

16:10

model we put out. We put out a model uh

16:14

once a year of Tesla and with our price

16:18

target five years out. We looked at his

16:22

first package and we said that looks

16:24

like our model and we looked at this one

16:27

and we said that looks like our model

16:29

and our model is

16:30

>> your 10 year forecast has Tesla at 8 and

16:32

a half n trillion.

16:34

>> Well, right and we we put out there five

16:36

years. Yeah. Yeah. So, uh and I think if

16:42

he delivers on humanoid robots the way

16:45

he thinks he is, we don't have enough in

16:48

there. So our price target is 2600. I

16:50

think it's at 330 today. Something like

16:52

that.

16:53

>> Exactly.

16:53

>> Yeah. 2600. And and we have very little

16:57

for humanoid in. But what Elon is

17:00

capitalizing on is this convergence that

17:02

I mentioned. Robotics, energy storage,

17:06

and AI. That convergence in the robo

17:09

taxi space is pretty much the same

17:12

convergence in the humanoid robot space.

17:15

Do you underwrite

17:17

>> compensation as part of your model?

17:19

Meaning like when you look at a package

17:20

like that, if you compare it to other

17:22

CEOs, Zuck or whomever, different styles

17:25

of compensation, Bezos famously took no

17:27

compensation post the IPO. How do you

17:29

think about that as a motivating factor

17:31

or a necessary condition in 2025 to get

17:33

results?

17:34

>> I think it's huge. I mean, I I wish more

17:37

CEOs would do this. Elon's not going to

17:39

be paid unless unless he reaches these

17:41

milestones either. So I think it's very

17:44

motivating to him. I think it also, you

17:47

know, it's uh kind of an incentive to,

17:51

you know, shoot for the stars, but do it

17:55

in a a very first principles way. You

17:58

know, everything's physics-based and

18:01

everything's milestone based. And he's

18:03

very disciplined. If people do not know

18:05

that, they should. And when a milestone

18:08

misses way, he's in there on the floor.

18:10

>> Final quick question. As a stock picker,

18:12

do you care where the companies are

18:14

incorporated? Like do you look at

18:16

Delaware now and say there's fundamental

18:17

business risk. I need to sort of and or

18:20

andor do you cajol these folks now to

18:22

maybe reinccorporate in different

18:23

places?

18:24

>> We're not an activist investor. I have

18:25

to ve be very careful and say that we

18:28

are moving out of Delaware. Uh

18:30

>> you as your own business. Why? You don't

18:32

trust them to be predictable? Is that

18:34

the issue? They're not predictable now

18:36

and they're activist.

18:37

>> Activist. Activist. It's

18:40

>> in a bizarre way.

18:42

>> What business do they have overriding

18:44

the shareholders of Tesla when it comes

18:45

to a pay package? And all those

18:47

shareholders who did that drive by

18:48

lawsuit

18:49

>> twice. They did it twice.

18:50

>> Yes.

18:50

>> I mean, it's unbelievable that guy owned

18:52

10 shares. He he did a 20 act 20 bagger

18:55

and then he's got the right to take

18:57

away.

18:57

>> It's like J suing Uber. Kathy, it's kind

18:59

of

19:01

>> Kathy Wood.

19:02

>> Kathy Wood, thank you so much for

19:04

sharing so much knowledge.

19:06

>> You're amazing. Thank you so much for

19:08

taking the time.

19:09

Great to see you all. Thank you.

Interactive Summary

In this interview, Kathy Wood discusses her investment strategy, which is centered on identifying and researching transformative technological platforms rather than traditional sectors. She explains her belief that a period of massive productivity growth and deflation is imminent due to the convergence of five major innovation platforms: robotics, energy storage, artificial intelligence, blockchain technology, and multiomic sequencing. Additionally, she shares her views on Tesla's potential, her stance on Bitcoin as a significant portfolio asset, and the importance of democratizing access to private market investments for retail investors.

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