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Transcript of YouTube Video: Why AI Will Spark Exponential Economic Growth | Cathie Wood | TED

Transcript of YouTube Video: Why AI Will Spark Exponential Economic Growth | Cathie Wood | TED

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00:04

Well, today, something is happening in technology

00:10

that has never happened before.

00:14

Five innovation platforms are evolving at the same time.

00:19

Never happened before.

00:21

You have to go back to the early 1900s

00:24

to see three platforms evolving at the same time.

00:28

You might call them general-purpose technology platforms.

00:32

Back then, it was telephone, electricity, automobile.

00:36

Game-changing.

00:38

Well, today we have five innovation platforms evolving at the same time.

00:45

And they're changing growth dynamics incredibly.

00:50

So they are highly catalyzed by artificial intelligence

00:55

as you see here.

00:56

But robotics, energy storage, AI,

01:01

blockchain technology and multiomic sequencing.

01:05

The growth dynamics are changing

01:07

in a way, it reminds me, I got early in the business,

01:11

the 1980s,

01:13

I was in meetings

01:16

where the going assumption was growth,

01:21

if it accelerated,

01:23

it would decay very quickly back down to nominal GDP growth.

01:28

And that was a function of the horrors we had been through in the '70s.

01:32

So it was very hard to get investors to believe

01:36

that there were companies out there

01:38

that were going to help generate productivity growth

01:41

and actually have sustained growth rates.

01:44

We get into the internet time,

01:49

and we begin this experiment with AI:

01:57

recommendation engines, predictive AI,

02:00

some people would say “pretend AI.”

02:02

And still again, after the tech and telecom bust,

02:07

we're back in the same kind of environment

02:10

where no one believed that growth could be sustained.

02:15

And of course, the poster child became Amazon --

02:20

20-25 percent compound annual growth rates

02:23

over 20-25 years.

02:26

So it was possible.

02:28

And by the end of all of this, and actually today,

02:33

many people do believe in the FAANGs

02:36

and that growth will be sustained forever.

02:39

And yet we're in another transformation.

02:42

We're into real AI.

02:47

So generative AI.

02:49

And we're also seeing these platforms,

02:53

these general-purpose technology platforms, converge.

02:58

So AI, and I know you're hearing a lot about it here,

03:01

according to our work, our chief futurist Brett Winton and his team,

03:06

artificial intelligence training costs are dropping 70 percent per year.

03:11

What used to happen with Moore's law in two years

03:16

is now happening in six months.

03:19

We're moving from linear growth, which was that first,

03:24

to this belief that exponential growth,

03:28

so sustained rapid growth in the case of Amazon,

03:32

finally believe that, in the investment community,

03:35

the FAANGs are the poster children

03:38

we're in this new world with generative AI,

03:41

five platforms converging here.

03:45

And investors now think that those same companies

03:50

are going to be the big beneficiaries this time.

03:53

Now, some might, but the history of technology is, they probably won't.

03:59

If you look at technology indices

04:01

from, you know, 20 years ago, 30 years ago,

04:05

the top 10, even in technology, are typically not the top 10 today.

04:11

I think Microsoft has been a very big exception to that.

04:16

So here we are.

04:18

And what does this mean?

04:21

Convergence, generative AI.

04:24

Well, it means explosive growth opportunities.

04:28

I’m going to give you one example:

04:31

autonomous taxi platforms.

04:35

Autonomous taxi platforms are going to be the convergence

04:40

of three of these major, general-purpose technology platforms:

04:46

robotics,

04:48

autonomous vehicles are robots;

04:50

energy storage, they will be electric;

04:54

and artificial intelligence,

04:56

they will be powered by AI.

04:59

This one opportunity, we think,

05:02

in the next five to 10 years

05:05

is going to scale to a revenue opportunity

05:09

of eight to 10 trillion dollars, from essentially nothing now.

05:13

Now for perspective, global GDP today,

05:17

all of global GDP today,

05:20

is not much more than 100 trillion dollars.

05:23

And here, we're telling you, in the next five to 10 years,

05:28

we're going to see up to 10 trillion in gross revenues,

05:32

with the platform companies getting half of that.

05:35

If the platform companies get half of that, four to five trillion,

05:40

they're probably going to be worth

05:43

somewhere in the 20 to 50 trillion-dollar range.

05:48

Now, that's just one example of convergence

05:52

and generative AI combining

05:55

to create an explosive growth opportunity.

05:59

Now, for the economy as a whole,

06:04

we believe that GDP growth is going to accelerate.

06:08

Now we've been in an environment

06:10

of two to three percent growth on average for years.

06:15

And if you go back in history,

06:18

the history of technology

06:19

is you get jump starts in growth

06:25

to completely new rates of change.

06:28

And very often the jump is between three and five times

06:32

what the previous growth rate was.

06:35

We think we're in such a time now

06:37

because the artificial intelligence

06:40

and the convergence of these platforms

06:44

is going to generate enormous productivity growth

06:49

the likes of which we have never seen.

06:51

So there are today roughly a billion knowledge workers,

06:58

and their wages and compensation,

07:03

roughly 32 trillion dollars

07:06

around the world.

07:08

We think they're going to become four times more productive.

07:13

And typically,

07:15

productivity gains result in rapid growth gains

07:20

much lower than expected inflation.

07:24

And if we're right,

07:26

the GDP growth --

07:28

and I know this sounds crazy,

07:29

and most people think we’re crazy when we say things like this --

07:33

but we really do believe that real GDP growth around the world

07:39

is going to accelerate from that two to three percent range

07:43

into the six to nine percent range,

07:46

and a lot of that will be productivity-driven.

07:50

With productivity comes tremendous wealth creation.

07:54

Productivity can end up in three places.

07:57

It can end up in profits.

08:01

It can end up in wages going up as employees become more productive.

08:07

And we think that will happen as well.

08:09

And/or,

08:11

and it's probably all three,

08:13

lower prices, deflation.

08:16

That’s the other thing I don’t think people are expecting out there:

08:20

deflation.

08:21

We think we're heading into a highly deflationary period.

08:25

And all you hear today is inflation, inflation.

08:29

And you've got monetary policy focused on lagging indicators of inflation

08:35

and jacking interest rates up.

08:38

So yes, this is why the financial markets are in a funk.

08:44

The Fed believes we're in an inflation-prone economy like the '70s.

08:50

We are not.

08:51

We went through a massive supply chain shock

08:56

in the last few years,

08:58

and we believe that is unwinding.

09:01

And that Fed policy is going to ensure that we end up with falling prices,

09:07

which means margins are falling.

09:09

Innovation solves problems.

09:12

AI and these new technologies will enhance margins.

09:17

So we think, during this time,

09:20

and I think we're seeing it empirically,

09:23

that these innovations are gaining more traction today:

09:30

better, faster, cheaper,

09:31

more productive, more creative products and services.

09:36

And so we're pretty excited about the next few years.

09:40

And do believe that the Fed is making a mistake,

09:44

that something out there,

09:47

we thought it was the regional bank crisis in early March,

09:51

no,

09:52

something out there will telegraph to the Fed,

09:57

that the fight now is not against inflation,

10:01

and that real growth is not inflationary.

10:05

In fact, if you get real growth, productivity-driven, real growth,

10:09

it is disinflationary if not deflationary.

10:13

So we're pretty excited about the next five to 10 years.

10:20

And so what's the bottom line of all of this,

10:23

if we're so excited

10:25

and think we're going to get beyond the macro environment?

10:29

So this is what we think is going to happen

10:33

thanks to the convergence of those five

10:38

general-purpose technology platforms.

10:42

What you see here is a chart,

10:45

and the blue part is disruptive or transformative innovation.

10:52

Today, it is valued in the global equity markets,

10:57

both public and private,

10:59

at roughly 13 trillion dollars.

11:04

That's a little more than 10 percent

11:07

of all global equity market valuation.

11:12

We believe that is going to scale,

11:15

thanks to the convergence of these platforms

11:18

and the explosive growth opportunities that they will provide,

11:22

to more than 200 trillion dollars.

11:25

That is a 40 percent compound annual growth rate.

11:32

It's very hard to believe, I know.

11:34

In the markets, they do think we're a little crazy.

11:38

But the building blocks of our confidence here,

11:44

comes from our research around these platforms.

11:47

40 percent compound annual rate of growth

11:50

makes sense in the world of accelerated real GDP,

11:55

very low inflation

11:58

and very high productivity.

12:00

And the number I threw out

12:03

just for autonomous taxi platforms is in that 200 trillion.

12:07

It's somewhere,

12:09

alone, that one opportunity is between 20 and 50 trillion dollars.

12:14

Now what's the other message from this chart?

12:16

The other message is

12:19

that besides disruptive innovation

12:23

being a very good place to invest,

12:27

is that the other side of disruptive innovation

12:31

is creative destruction.

12:33

And we're going to -- I just described autonomous taxi platforms,

12:38

that is going to transform all of transportation

12:42

and mobility completely.

12:45

The convergence of artificial intelligence,

12:49

multiomic sequencing

12:51

and one the other technologies underlying, CRISPR gene editing,

12:57

is going to transform health care.

12:59

We think blockchain technology and artificial intelligence --

13:04

we did a fascinating podcast

13:07

on the convergence between those two --

13:10

is going to transform not only

13:14

the entire financial services sector,

13:18

but is going to lead to a whole new area

13:23

of property rights in the digital realm.

13:27

A lot of young people today

13:29

spend more than half of their discretionary time online.

13:33

That's where they're interested in staking out property rights.

13:37

So we're pretty excited about that as well.

13:40

Many people ask me,

13:43

we have a lot of doubters out there,

13:45

which I think you probably know about,

13:47

how we maintain our conviction in this kind of forecast.

13:52

And our conviction has not wavered.

13:54

In fact, it's increased over the last five years,

13:56

and the numbers have grown larger

13:58

because of the breakthroughs in AI

14:01

that we didn't even expect to happen this quickly.

14:04

The courage of our conviction comes from our research.

14:08

First principles research,

14:10

white sheet of paper,

14:12

you know, how is this new world going to work?

14:16

So as I say, make sure,

14:19

given all the creative destruction

14:21

that there is going to be out there,

14:24

to get on the right side of change and hang on for the ride.

14:30

Ignore the noise.

14:32

Because truth will win out, and the opportunities are enormous.

14:37

Thank you.

14:38

(Applause)