Full Transcript

·YouTLDR

Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!

1:45:53EnglishTranscribed Jun 30, 2026
0:00

What advice do you give for the average

0:01

person that's looking to invest their

0:02

salary or their wages?

0:04

>> Don't own US stocks. That's a simple

0:06

strategy that you can act on.

0:08

>> But what about S&P 500?

0:10

>> No.

0:11

>> Really?

0:11

>> Yeah. And if you have a big position in

0:13

US technology [music] stock, I

0:15

personally advise would be to sell them

0:17

all.

0:17

>> But I'm an investor in SpaceX.

0:18

>> Good luck. SpaceX is such a fabulous uh

0:21

story, and we can go into that.

0:22

>> Crypto?

0:23

>> No.

0:23

>> Why?

0:24

>> It's an unnecessary piece of nonsense

0:26

that facilitates [music] nothing except

0:28

criminals moving money that they can't

0:30

be seen.

0:30

>> Do you think Bitcoin's going to go to

0:32

zero?

0:32

>> Yes, it will certainly go to zero.

0:34

>> So, how many years have you spent

0:35

investing?

0:36

>> 60 years.

0:36

>> And what's the most amount of money

0:38

you've ever managed of other people's

0:39

money?

0:40

>> 165 billion.

0:41

>> And one of the things you're famous for

0:42

talking about is this idea of bubbles.

0:45

>> Yes. [music] And bubbles always occur

0:47

around the very most important ideas.

0:49

So, the railroads, everyone could see

0:51

that it would change the world. The same

0:52

with the internet. And everyone wanted

0:53

to put their money in, and so they over

0:55

invested. But this is the problem.

0:58

Eventually,

0:59

they burst. And if you look at the great

1:01

bubbles breaking of the past, you find

1:03

that it's followed by really tough

1:04

times, a miserable period for the

1:06

economy. And the bigger the bubble, the

1:08

bigger the burst. And now we're in the

1:10

biggest investment bubble that arguably

1:12

has ever occurred, AI.

1:14

>> Are we on the verge of a collapse with

1:15

AI in the coming years?

1:17

>> The next few days, the next few weeks,

1:18

[music] the next few months, but

1:20

certainly the next few years.

1:21

>> So, if you're not someone that has a

1:22

huge amount of savings, what kind of

1:24

strategy should they be adopting when an

1:26

economy starts to get bad and there's a

1:28

economic bubble collapse?

1:30

>> So, I would go through everything. But

1:32

you will not receive this advice from

1:34

investment advisers because they'll lose

1:36

a lot of business.

1:37

>> And would you be thinking about the

1:39

country you live in at this moment in

1:40

time?

1:41

>> Absolutely.

1:41

>> Is there any countries you wouldn't live

1:42

in?

1:43

>> I think I have to refuse to answer this

1:45

on the grounds that it might tend to

1:46

incriminate me.

1:47

>> Oh, okay. So, you're saying don't live

1:48

in the United States. I've just moved

1:50

here. Why not the United States?

2:00

>> This is super interesting to me. My team

2:01

gave me this report to show me how many

2:03

of you that watch this show subscribe.

2:04

And some of you have told us, according

2:06

to this, that you are unsubscribed from

2:08

the channel randomly. So, favor to ask

2:10

all of you, please could you check right

2:11

now if you've hit the subscribe button

2:13

if you are regular viewer of the show

2:14

and you like what we do here. We're

2:15

approaching quite a significant landmark

2:17

on this show in terms of a subscriber

2:19

number. So, if there was one simple,

2:21

free thing that you could do to help us,

2:23

my team, everyone here, keep this show

2:25

free, to keep it improving year over

2:27

year and week over week, it is just to

2:29

hit that subscribe button and to

2:30

double-check if you've hit it. Only

2:31

thing I'll ever ask of you.

2:33

Do we have a deal?

2:34

If you do it, I'll tell you what I'll

2:35

do. I'll make sure

2:37

every single week, every single month,

2:38

we fight harder and harder and harder

2:39

and harder to bring you the guests and

2:41

conversations that you want to hear.

2:42

I've stayed true to that promise since

2:43

the very beginning of The Diary of a

2:44

CEO, and I will not let you down. Please

2:48

help us. Really appreciate it. Let's get

2:49

on with the show.

2:51

>> [music]

2:54

>> Jeremy Grantham.

2:56

Your firm managed up to 165 billion

3:00

dollars at its peak, what you we call

3:02

AUM, assets under management. So, you

3:05

know a lot about money. You know a lot

3:06

about investing. How do you sort of

3:08

self-define your expertise because you

3:10

traverse so many different subjects

3:12

through your work? So, if I said to you,

3:14

you know, how do you introduce yourself

3:16

professionally? What is the answer?

3:18

>> I can't think I ever do introduce myself

3:20

professionally, but I think of myself as

3:23

specializing in a longer term horizon

3:25

>> Mhm.

3:25

>> [clears throat]

3:25

>> than most people and trying to look at a

3:28

higher and higher level of abstraction.

3:30

What is really going on here?

3:32

And what are people missing?

3:34

I've discovered over decades that humans

3:37

are incredibly short-term oriented.

3:40

And they have an enormous predisposition

3:43

to optimism.

3:44

They're looking for optimistic news in

3:46

everything. They're looking to avoid

3:48

unpleasantness. The idea that you can

3:51

have steady compound growth is

3:53

ridiculous. One of my few heroes,

3:56

Kenneth Boulding, an economist,

3:58

he said the only people who think you

3:59

can have compound growth on a finite

4:02

planet are madmen and economists.

4:05

Which is so accurate. Economists simply

4:07

believe you can have growth always, and

4:10

everything comes down to just price.

4:13

>> One of the things you're famous for

4:14

talking about is this idea of bubbles,

4:17

and we're living in a moment where

4:18

everybody's talking about the subject of

4:20

artificial intelligence, and everyone's

4:22

getting very excited by it. Some people

4:23

are getting very pessimistic about the

4:25

impact it'll have on society. I wanted

4:27

to start there because it's a it's an

4:29

area where there is rife optimism on one

4:31

side of things, um but there's also a

4:33

lot of money plowing into the market,

4:35

which is I I guess in your view making

4:37

things prone to collapse.

4:40

What's your view on artificial

4:41

intelligence? You said you're good at

4:43

understanding what people are missing.

4:44

What is it that people are missing?

4:45

>> Well, first of all, let me say I think

4:47

artificial intelligence is

4:49

right up there with the railroads. It's

4:51

one of the

4:52

defining great ideas of the last couple

4:56

of hundred years.

4:57

It's going to change everything. And

4:59

that is critical. If you If you mean to

5:01

have a bubble, people think that a

5:03

bubble is a mainly because it's a scam,

5:05

and nothing could be further from the

5:07

truth. The great bubbles always occur

5:09

around the very most important ideas.

5:12

So, the railroads, everyone could see

5:14

that it would change the world. And

5:16

everyone wanted to put their money in,

5:18

and everybody put their money in. They

5:20

over invested, and even though the

5:22

railroads were a spectacularly powerful

5:25

idea,

5:26

uh the railroads uh collapsed their

5:29

stocks, and everybody lost a ton of

5:30

dough.

5:31

The same with the internet. And then out

5:33

of the wreckage, the railroads changed

5:36

the world, and and the internet changed

5:38

the world. What we have to remember is

5:41

that

5:43

in '99, Amazon went up six or seven

5:45

times. In the crash in the tech bubble,

5:48

it went down 92%.

5:50

As I like to say, check it. It's such a

5:52

remarkably large number. And then out of

5:54

the wreckage, it inherited the retail

5:56

world.

5:58

And uh that's that's how it works. The

6:00

greater the idea, the more obvious the

6:02

idea, the more money goes in, and the

6:05

bigger the bubble, and the bigger the

6:06

bust.

6:07

>> And are we on the verge of a collapse

6:08

with AI? When I say verge, I mean over

6:10

the coming years.

6:11

>> If you look at the data,

6:13

it would be compatible with history

6:16

for the peak to be very soon. Everything

6:18

is in line. This is, I think, the

6:21

biggest investment bubble in American

6:23

history. The indicators of pure crazy

6:26

euphoria, like SpaceX, are all over the

6:29

place.

6:31

SpaceX defines as its addressable market

6:35

a quarter of the global GDP.

6:38

You know, it talks about endless

6:40

opportunities mining asteroids.

6:43

It will be in 50 years, people and 100

6:45

years, people will look back and tell

6:46

stories about SpaceX and its prospectus,

6:50

like they tell stories about the South

6:51

Sea bubble.

6:52

You know, an enterprise of such enormous

6:54

value, but it cannot at this time be

6:56

revealed.

6:57

>> I want to keep on this train, but for

6:59

the viewers that don't know your

7:01

experience, we should probably pause and

7:04

just tell them your experience, because

7:06

that's the reference point, but also

7:07

also gives you credibility and authority

7:09

to speak to this. What have you done

7:11

with your life?

7:12

>> Well, I got into the

7:14

investment business in 1968. There were

7:17

very few serious people in the

7:19

investment business.

7:21

There were no mathematical models. There

7:23

were

7:24

the kind of relatively failed sons of

7:27

rich people who would work for J.P.

7:29

Morgan.

7:30

And then over the next 10 years, it

7:33

began to get a little more serious. T.

7:35

Rowe Price introduced the idea of growth

7:37

stocks. A few of us introduced the idea

7:39

of value stocks.

7:41

And a few years later, at my first firm,

7:43

Battery March Fee, really introduced the

7:46

idea of small small cap. It hadn't

7:48

existed before that.

7:50

>> And for people that don't know, a small

7:51

cap is investing in smaller companies.

7:54

>> Yes. And a value stock is simply one

7:56

that looks cheap.

7:57

>> Did you invent the index fund?

8:00

>> There were two or three of us

8:01

separately. I don't think we knew of

8:03

each other.

8:04

>> How many years have you spent investing?

8:06

>> Uh 60, approximately.

8:08

>> 60. And what's the the most amount of

8:10

money you've ever managed for other

8:13

people in a calendar year?

8:15

>> Yes, 165 billion.

8:18

I had a

8:19

two partners, Mayo and Van Ottalo.

8:22

And when the smoke cleared, you know,

8:24

I'd made a lot of money, over a billion

8:26

dollars.

8:27

>> Personally?

8:28

>> Personally.

8:29

>> And how much

8:30

>> And paid tax on all of it.

8:31

>> Oh, good.

8:33

And how And how much money does your

8:34

firm still manage today of other

8:36

people's money?

8:37

>> It manages 85 billion.

8:39

>> 85 billion. So, are you a billionaire?

8:42

>> I'm generally

8:44

referred to as a billionaire, but that's

8:47

only because they count the money you

8:49

give away. Because I've given over 90%

8:52

of my billion away to a foundation.

8:55

>> Oh, really?

8:56

>> Yeah.

8:56

>> To which foundation?

8:57

>> It's called the Grantham Foundation for

8:59

the Protection of the Environment. We

9:01

invest a lot of our principal in green

9:03

tech

9:04

to help combat climate change.

9:07

>> And you're 87 years old.

9:08

>> And I'm 87 years old.

9:10

>> You've given 90% of your money away to

9:13

your own foundation that's focused on

9:14

green tech.

9:15

>> Yeah. Maybe 95. Yeah.

9:17

>> Wow. Okay. So, coming back to this point

9:19

that we were talking about, a lot of

9:20

people won't even know what a bubble is.

9:21

I think you've done a good job of

9:22

explaining. A bubble is when everyone

9:24

gets excited, they all see something

9:25

obvious, they plow their money in, their

9:27

stocks go up, and then if you look at

9:29

the graph that's in front of you there,

9:31

which shows his the history of asset

9:32

bubbles, eventually there's a big

9:35

collapse.

9:37

>> Yeah.

9:37

>> And you're saying that we're

9:39

the collapse is on the horizon.

9:42

>> Yes.

9:43

>> And what does that mean for the average

9:44

person?

9:46

What's going to happen?

9:47

>> What's going to happen is the high

9:49

flyers will probably come down a lot.

9:52

>> The high flyers?

9:54

>> The stocks that have gone up the most,

9:56

AI and the more exciting stocks with the

9:59

biggest moves

10:01

historically

10:02

would be expected to come down the most.

10:05

From these unprecedented levels

10:07

a 70% decline would not be unexpected.

10:11

>> So a 70% decline in the in the stock

10:14

price?

10:14

>> Yeah. And you have to remember the tech

10:17

bubble the Nasdaq, which is an index of

10:20

the growth stocks, came down 82%.

10:24

It is far from unprecedented

10:27

to have these major declines. And the

10:29

biggest bubble in history

10:31

was in the Japanese stock market in

10:33

1989. Back then Japan seemed to rule the

10:36

world, all the technology, all the

10:38

Toyotas were kicking bottoms in General

10:41

Motors and so on.

10:42

And everyone bragged about their 12-in

10:44

Sony TV in the kitchen and the quality

10:47

etc. etc. little things you put on your

10:49

belt to play music, they were all

10:50

Japanese.

10:51

>> Mhm.

10:52

>> And [clears throat] uh for a second

10:53

Japan sold for more than the US

10:56

in '89.

10:58

And it it got to 65 times earnings,

11:01

which which means for every dollar of

11:03

earnings you have $65 of market value.

11:08

And the US

11:09

went to 35 in the tech bubble of 2000.

11:13

You could argue depending on how you do

11:15

it that it's 35 or 40 today, but it's

11:18

not 65. So we have seen a much bigger

11:20

bubble in Japan. And what happened? It

11:23

went up and up and up

11:25

and then

11:26

it came down for 20 years.

11:28

>> 20 years?

11:29

>> 20 years. They talk about the lost

11:31

decade, but when you look at it closely,

11:33

it looks more like a lost 20 years.

11:35

>> So, for the average person, what do they

11:38

feel and how does it impact them when

11:41

there's a market crash like the one that

11:43

you're forecasting?

11:44

>> The high flyers will lay people off and

11:46

and a lot of people will feel less rich.

11:50

And as you acquire

11:52

uh money in the stock market,

11:54

a small fraction of that, two or three

11:56

percent,

11:57

is spent.

11:58

And in reverse,

12:00

it goes back.

12:02

And people feel a little bit poorer,

12:04

they spend a little less. So, the

12:06

economy tends to be under some stress.

12:09

And if you look at the great bubbles

12:11

breaking of the past, you find

12:14

that it's followed by really tough

12:16

times. 1929 is followed by the Great

12:19

Depression

12:20

that lasts for several years. Then, of

12:22

course, there are many other factors

12:23

that go into that, but it started with

12:25

the crash in the market, uh which was in

12:29

the end down about 80%.

12:31

or more.

12:32

And then the next one was called the

12:34

Nifty 50 because it was the 50 great

12:36

companies like IBM and Coca-Cola. And

12:39

that was in 1972, it peaked. It declined

12:42

by 65% if you adjust for inflation. The

12:45

recession associated with that

12:48

was uh

12:49

just about the worst

12:51

since the depression.

12:53

>> So, for the for the average person, what

12:55

kind of strategy should they be adopting

12:58

if you if you're not someone that has a

12:59

huge amount of savings? Say you're

13:01

working for one of these big big

13:02

companies, um are there any strategies

13:05

that you should be thinking about now

13:07

before this

13:08

before the markets come down and there

13:10

could be a recession?

13:11

>> I mean, rule number one is always be

13:13

diversified.

13:14

>> Be di- What does that be diversified

13:16

mean?

13:17

>> It means hold hold some

13:19

bonds, hold some cash,

13:22

perhaps a small amount of precious

13:24

metals.

13:25

>> Like gold and silver?

13:26

>> Yeah.

13:27

>> And what is a bond and how do I buy one?

13:29

>> Yeah, a a bond is a loan that carries uh

13:33

a fixed interest rate.

13:35

Let's say today 5%.

13:38

You invest your money in it and it will

13:40

pay you 5% as long as the

13:42

creditworthiness

13:44

of uh

13:45

the other side is there. So, if it's the

13:48

US government, you'll assume it's pretty

13:50

creditworthy. And you buy a bond from

13:52

the US government. It's how the US

13:54

government funds uh a part of its

13:56

activities. You can buy a 30-year US

13:59

government bond, a 10-year bond, a

14:00

2-year bond, a 90-day

14:03

a Treasury bill they call them when they

14:05

get that short.

14:07

Everything goes fine, you you receive

14:10

this modest amount of money. Your 5% or

14:13

your 3% depending on the conditions.

14:16

>> Okay, so a bond is basically lending the

14:19

government money.

14:21

>> Yes.

14:21

>> And if you want to lend the government

14:23

money,

14:23

>> Or lending a corporation money.

14:25

>> Okay, so you can also lend like Apple

14:27

money.

14:28

>> Yes.

14:29

>> And I I can go to the government website

14:32

or it says I was just reading here. It

14:33

says, "If you want to lend money

14:34

directly to the US government, you can

14:36

bypass Wall Street entirely, go to

14:38

treasurydirect.gov.

14:39

You open an account, link your bank, and

14:41

purchase directly. You can buy Treasury

14:43

bills, notes, bonds, and series one

14:45

savings bonds."

14:47

You pay exactly face value with no

14:50

commissions or fees and the investment

14:51

is backed by the full faith

14:53

of the US government. Or you can buy,

14:56

you know, like Apple, you can lend Apple

14:57

money. I didn't even know you could do

14:58

this. And you go to any of your major

15:00

brokers like Fidelity or Vanguard or

15:02

probably a lot of the the apps. You

15:03

navigate to fixed income section on your

15:05

account and you can

15:08

see what bonds are being offered and you

15:10

can lend them money.

15:12

>> What you're doing actually, they have

15:14

distributed it to the market. Uh

15:17

and you're acquiring it from one of the

15:20

existing owners.

15:22

>> Oh, okay.

15:22

>> actually giving them incremental money.

15:25

They they come to the market with $10

15:27

billion

15:28

in a particular bond

15:30

with a particular coupon. It says, "We

15:32

will pay you 3.5%." That's the coupon.

15:35

And when you want to buy some of that

15:38

bond, you you go to your broker and he

15:40

says, "It's no longer selling at the

15:42

original 100. It's now selling at 92 or

15:46

107." And you you pay that and it

15:50

transfers from one owner to you.

15:52

There've been times in 1974

15:54

when you could you could get a bond that

15:57

would pay 8, 9, 10%.

15:59

>> Per year?

16:00

>> Yes, per year.

16:01

>> So, if I buy a US government 10-year

16:03

Treasury bond, essentially lending the

16:05

US government money, I can do 4.46%

16:08

a year. And Apple's current yield on a

16:11

10-year corporate bond is 4.7% a year.

16:13

So, almost 5% a year, which means if I

16:16

put what $1,000 in, I'll make $475

16:19

every 10 years.

16:20

>> Yeah.

16:20

>> Every 10 years.

16:21

>> Mhm.

16:22

>> Interesting.

16:23

I didn't I never really knew how bonds

16:25

work. So, you're saying

16:26

market's collapsing, diversify, get some

16:28

money into bonds, get some keep some

16:30

money in cash.

16:31

And anything else? In terms of

16:33

diversified portfolio, property?

16:35

>> Uh property is fine, except

16:38

it's pretty darn expensive by historical

16:40

standards. They've engineered a

16:43

situation where house prices tend to

16:46

rise.

16:47

Great for the people who have a house

16:49

and terrible for the people who would

16:51

like to buy a house.

16:53

Back in '94 in England,

16:55

a typical house sold for 3.4 times your

16:58

family income.

17:00

That was about as low as it had been for

17:02

50 years.

17:04

And then from '94 until today,

17:07

um it rose from 3.4 times to over 10

17:10

times, depending on where you live.

17:12

And at 10 times income,

17:14

a reasonable

17:16

young couple

17:17

are in big trouble. They can't really

17:19

afford to buy a house.

17:22

And the same high prices are reflected

17:24

in rents.

17:26

So, they're really squeezed on living

17:27

costs.

17:29

And the same is true, even worse, in

17:32

China, in Canada, Australia,

17:35

most of Europe. House prices have simply

17:37

been allowed to go up for the last 30

17:40

They didn't, you know, traditionally

17:42

they they traded flat or down 67 of the

17:45

80 years until 1994 in the UK. But since

17:49

then,

17:51

house prices have ridden everywhere.

17:53

>> So, so do you Are you expecting house

17:55

prices to to come down sharply? I I

17:57

think I heard you say that they might

17:58

come down 30%.

17:59

>> Even if they come down 30%, they're

18:02

really still very expensive, aren't

18:04

they? That would be they've come down to

18:07

six or seven times family income. They'd

18:09

still be twice what they used to be in

18:11

the good old days.

18:12

>> So, I've got diversify, I've got reduce

18:14

your position.

18:16

Um there is a probably going to be a bit

18:18

of a job disruption, as well.

18:21

>> And particularly if you have to own

18:22

stocks, own them outside America. Don't

18:25

own US stocks.

18:28

That's a nice, simple strategy that you

18:30

can act on.

18:31

>> Why?

18:32

>> They're much cheaper.

18:33

And since the beginning of last year,

18:35

they have handsomely outperformed the

18:37

US.

18:38

>> Foreign stocks?

18:39

>> Foreign stocks. Of emerging countries,

18:41

of European countries, Japan, Canada,

18:44

Australia, and so on. You can find good

18:46

broad indices.

18:48

Um kind of the world ex-US.

18:51

>> Okay.

18:52

>> or emerging markets. And uh

18:55

>> Invest outside of America.

18:57

>> Yeah. I'm sure they'll muddle through

18:58

okay over the next 10 or 20 years. And I

19:01

am not confident that the US will do

19:03

that.

19:04

>> You're not confident in which part? That

19:05

the US

19:06

>> I'm not confident that US equities will

19:08

be intact in 5 years, 10 years.

19:11

>> So, US a US equity is a US stock.

19:14

>> Yes.

19:15

>> Why aren't you confident that they'll be

19:16

intact in 5 or 10 years?

19:18

>> Because they're so

19:20

badly overpriced today.

19:23

Back in the tech bubble of 2000,

19:27

we had a 10-year forecast

19:29

for US equities of minus 2% a year for

19:32

10 years.

19:33

And they came out with minus three. The

19:35

period from 2000 to 2010, you simply

19:38

lost money in the US market. 10 years

19:41

later, you had less money than you

19:42

started with. And this is a higher price

19:44

market, I believe, than 2000.

19:46

>> So, you think it's going to be even

19:47

worse?

19:48

>> In Japan, you went 20 years and you lost

19:50

money. You went 30 years and you still

19:52

hadn't gotten back. It took 35 years for

19:55

the Japanese market to recover.

19:56

>> So, what are you saying?

19:57

>> What I'm saying is it's quite typical

20:00

to get beaten around the head in the

20:03

stock market when it becomes crazily

20:04

overpriced, as it is today.

20:07

And that it's a very good idea

20:10

to take some respons- responsibility and

20:12

and watch your tail. Now, let me just

20:15

say you will not receive

20:17

the advice from investment advisers

20:21

to get your tail out of the market,

20:23

ever. It is not good business for them

20:25

to do that, and they will not ever say

20:28

it to you. So, from 1929 onwards, the

20:32

Goldman Sachs's of the world have never

20:34

said to you,

20:36

"Get out of the market. It's

20:37

overpriced." Never.

20:39

So, they went through the crash of '29,

20:41

they went through the crash of the Nifty

20:43

50 in '72,

20:45

the crash of 2000 in the tech bubble.

20:48

They never ever say it, because it's bad

20:51

business.

20:52

If you fight

20:54

a bubble, you lose a lot of business.

20:57

And because the uncertainty of the

20:59

timing is so great,

21:01

the client's patience

21:04

is shorter than the uncertainty of the

21:06

market. So, sooner or later, you will be

21:09

advising people to be careful. The

21:11

market will keep going

21:13

and going and going like it did in

21:15

Japan.

21:15

>> You're saying that the people that

21:16

manage money on a global scale, they

21:18

have no incentive to tell you that the

21:20

market's about to collapse because if

21:22

they did, their clients would would

21:23

withdraw their money and they wouldn't

21:25

get their fees for managing that money.

21:27

So, what they do is they they keep

21:30

telling you things are going to be fine

21:31

and optimistic, yeah, but you have to

21:33

kind of see through that yourself

21:34

because they have an incentive structure

21:36

which isn't aligned with yours

21:37

necessarily.

21:38

It may also be the case that those very

21:40

people who are who understand these

21:42

economic bubbles and cycles, they

21:44

themselves are adopting a different

21:46

strategy with their own money.

21:48

But that at the same time, they're

21:49

probably going to be telling you that

21:51

everything's going to be great for a

21:52

long time.

21:53

>> If you'll allow me to tell a story on

21:54

this very topic, in the

21:57

98, 99

21:59

the the tech bubble so-called, the

22:01

run-up to the top, I I got into a lot of

22:04

debates with the bulls. I would say it's

22:07

horribly overpriced and they

22:09

>> What's a bull?

22:10

>> A bull is someone who is extremely

22:12

optimistic about the stock market and a

22:14

bear someone who is

22:16

pessimistic or careful about the market.

22:19

There were 1,200 people in the audience

22:21

and it was the annual bash

22:23

of the Society of Analysts. And I asked

22:27

before my turn at the debate,

22:30

"Please put your hands up if you

22:31

consider yourself a full-time stock

22:34

market expert." 400 hands went up. I had

22:37

people counting.

22:39

And

22:40

I said, "I've got two questions for you.

22:42

One,

22:44

if the market, which is currently 31

22:46

times earnings,

22:48

was to go back to a more normal 17

22:51

times,

22:52

would it guarantee

22:54

a major bear market if it happened

22:56

anytime in the next 10 years?"

22:58

>> A major down market?

22:59

>> Yes, if it went from what was then 31

23:02

times

23:04

earnings.

23:05

Every dollar of earnings sold for 31

23:07

times in the market. And the And the

23:09

more normal average was closer 15, 16,

23:12

17. And I use 17.

23:14

If it went down to 17 anytime in the

23:16

next 10 years, would it guarantee a

23:18

major bear market? All 400 of them said,

23:21

"Yes, it would. If it happened, it would

23:24

guarantee a major bear market." And then

23:26

the second question, of course, was,

23:28

"And do you think it will happen?"

23:30

And less than 1% thought it would not

23:33

happen. 99%

23:35

plus

23:37

thought the market would go down,

23:39

therefore guaranteeing a major bear

23:41

market. And this was the engine room of

23:44

all the Goldman Sachs and the Morgan

23:46

Stanleys and the JP Morgans, all the

23:47

great investment firms giving advice in

23:50

America. The engine room who worked for

23:53

them, the guys doing the analysis, doing

23:55

the work, all believed in data that

23:58

guaranteed a major bear market, which

24:01

happened.

24:02

But the people who employed them or

24:04

represented them from a marketing point

24:06

of view were on the podium with me

24:08

saying, "Oh, Jeremy, Jeremy, don't get

24:10

excited. We'll muddle through quite

24:11

nicely."

24:13

It was a huge betrayal of trust, if you

24:15

wanted to put it that way.

24:16

>> And do you think that's happening now?

24:18

>> Of course. Who are the people

24:20

representing the great investment firms

24:22

telling you to watch out? If you look at

24:24

the data, you will see

24:26

over time, it's a series of great waves

24:29

in evaluation.

24:31

>> Like this?

24:31

>> Like this. And we're not just in one,

24:35

but in terms of the US stock market,

24:37

we're in the biggest one, arguably,

24:40

that has ever occurred.

24:42

The noise to be careful and watch out

24:44

and get out of the market

24:46

is not deafening. In fact, you will hear

24:48

nothing. You never have.

24:51

You never will.

24:52

It is simply lousy business for a big

24:55

firm. I sympathize with them.

24:57

I sympathize with them because when we

24:59

did it in '98, '99, we were 2 and 1/4

25:02

years early.

25:04

And we lost half our book of business

25:07

in 2 and 1/4 years.

25:08

>> Because you were honest with the people

25:09

about what was coming.

25:10

>> Well, through their eyes, we were wrong.

25:12

We said, "Watch out, the market is

25:14

overpriced. It will end badly."

25:16

It went up. Therefore, we were wrong,

25:18

therefore

25:20

they shoot us.

25:21

People think

25:23

you get shot for underperforming in a

25:25

bear market, and that is not really the

25:27

case. In a bear market, everyone

25:29

freezes. It's rigor mortis. They wait

25:31

until the market has bottomed out, then

25:33

they sit around and start to fire one or

25:36

two people for having done worse than

25:37

the others. But in a bull market,

25:40

they're playing golf with their fellow

25:42

pension fund officer.

25:44

And he is making a ton of money, and

25:47

they are not. They get very excited in a

25:49

bull market, and they fire you

25:50

instantly.

25:52

>> There should be a button just down below

25:54

here, and if it says subscribe, you're

25:56

already subscribed. If it says

25:57

subscribe-a, that means you're not yet.

25:59

And if you're not subscribed, please

26:01

could you do us a favor and hit that

26:02

button. It helps to show more than you

26:03

know, and according to the algorithm,

26:05

you're someone that watches our show,

26:07

but you haven't yet hit that button.

26:08

Thank you so much.

26:09

What about for founders? I actually had

26:11

a founder call me the other day,

26:14

and he is running a

26:16

relatively early-stage tech startup.

26:20

This tech startup has raised a lot of

26:22

money. It's an AI tech startup. It's

26:24

raised I'm going to say about $300

26:27

million.

26:28

It's not profitable yet,

26:30

but it's raised a lot of money. So, it's

26:31

living off investor capital right now.

26:34

He said to me, "Stephen, I think there's

26:36

a collapse coming, so I'm going to go

26:38

raise as much money as I possibly can

26:40

right now because I think when this

26:42

collapse comes, businesses like mine are

26:44

going to be unable to raise capital, and

26:47

therefore I will go out and I'll kind of

26:49

like a a bit of a vulture, I'll go out

26:51

and pick up

26:52

and buy up all these people.

26:54

>> Good lad. Good advice.

26:55

>> Good advice.

26:56

>> I think.

26:56

>> So for founders listening now that are

26:59

somewhat dependent on investment

27:01

capital, but even those that are just

27:03

breaking even,

27:05

what advice would you give entrepreneurs

27:07

in this moment?

27:08

>> If you can lock up money, I would.

27:11

If you can build a bit of conservatism

27:14

in in other ways, do it. Just brace

27:17

yourself

27:18

for impending problems. Which is a

27:20

pretty good principle

27:22

anytime, but is a

27:24

better principle than normal today.

27:26

>> So for founders entrepreneurs who are

27:29

in the sun is shining right now, but

27:31

it's time to start acting as if a storm

27:33

is coming.

27:34

>> Yes.

27:35

>> And the time horizon on that is hard to

27:37

forecast. It could be weeks, months,

27:38

years.

27:39

>> Stock market hinges on career risk.

27:42

And Keynes was the great champ. He's a

27:45

famous economist

27:46

of the 1930s and 40s.

27:49

And he wrote a famous book called The

27:51

General Theory. Unlike the idea that the

27:54

market's efficient, he knew it wasn't.

27:56

He knew it was a behavioral jungle

27:59

and that it would be given to bubbles.

28:01

>> And when you say efficient, you mean

28:02

logical and one plus one equals two.

28:05

>> The efficient market idea is that every

28:09

company, every stock, the underlying

28:11

company

28:12

represents a long stream of future

28:15

earnings and dividends

28:17

and that

28:18

the ones in the distant future are given

28:20

less value. Process they call

28:22

discounting it back to the present.

28:24

And the sum of all of that stream of

28:27

earnings into the future is the stock

28:28

price. And that of course is complete

28:30

nonsense.

28:32

>> What it is is the stock price is

28:33

psychology.

28:34

>> The stock price is what you think the

28:36

other guy will pay. If the stock is

28:38

going up, it tends to suck in buyers.

28:41

And that's called momentum.

28:43

It's moving up, it attracts buyers. And

28:46

every now and then

28:47

when the economy is favorable and money

28:50

is obtainable

28:51

you tend to get these bubbles.

28:54

And they play on themselves.

28:56

The bigger and better they are, the more

28:58

people get sucked in.

28:59

>> What do you actually think about the

29:01

technology at the heart of all of this,

29:02

which is artificial intelligence? Do you

29:04

think it's overblown or do you think it

29:06

is going to have

29:06

>> It's going to change everything. The one

29:09

of the spectacular things about it

29:11

though is how there's no consensus. So

29:14

I've seen many times where the the the

29:16

super experts and the academics think

29:19

one thing and the players on the ground

29:20

think another. But this is a situation

29:22

where the Nobel Prize winners at the top

29:24

disagree violently.

29:26

The experts at the corporate level

29:28

disagree violently. The

29:30

the people in the company disagree

29:31

violently. There is absolutely no

29:34

agreement on whether AI is going to make

29:37

us all so rich we can sit on the beach

29:39

and never do another

29:40

day's work or

29:43

it will wipe us out accidentally or on

29:45

purpose because it's a much higher level

29:48

intelligence one day.

29:49

And when was there ever a case where a

29:52

higher intelligence

29:53

was

29:54

benevolent in a sustainable way to a

29:57

lower intelligence?

29:59

I The one example is mothers to babies.

30:02

>> Yeah, I had

30:04

I [clears throat] had one of my former

30:05

guests say this to me.

30:07

>> Geoffrey Hinton?

30:08

>> Geoffrey Hinton, yeah.

30:09

>> That's how I I came across you and

30:11

>> Oh, really?

30:13

>> follow your podcast is because that was

30:14

such a brilliant podcast.

30:16

>> It was so fascinating to me and I I

30:18

followed his work and thoughts

30:19

thereafter and I realized that he now

30:20

cites this example of mothers and babies

30:22

being the only example.

30:24

I don't know, for me it still doesn't

30:25

hold well.

30:27

Because at the end of the day some

30:29

mothers aren't that and fathers aren't

30:31

that nice to their babies sometimes.

30:33

There is a maternal instinct, but have

30:35

we are we building a maternal instinct

30:37

into AI?

30:38

>> That's what we should do, Geoffrey

30:39

Hinton would say.

30:41

And others.

30:42

The ones who are most concerned about

30:44

the risks, say our one hope, if we mean

30:48

to keep going

30:49

ferociously forward in terms of the

30:51

science, our one hope would be to build

30:54

in very carefully

30:56

a benevolent attitude.

30:58

It would not seem to be impossible, but

31:01

you should make sure you can do that

31:02

before you push ahead. We are just

31:05

pushing ahead, and that is going to be

31:07

extremely risky, isn't it?

31:09

>> Well, I don't see how it can't be.

31:11

>> I don't see how it can't be.

31:13

Unless you make it programmed completely

31:15

to be benevolent.

31:17

>> Mhm.

31:17

>> I wouldn't have thought that was

31:19

impossible. It might take a lot of extra

31:21

research. It might require a slow down

31:24

at the rate of uh

31:26

progress.

31:27

>> Do you know what I find curious about

31:29

that idea is

31:32

we're now going to get into the realm of

31:34

what does benevolent mean?

31:36

>> [laughter]

31:38

>> And and that feels like a risky

31:39

business, because what's benevolent to

31:41

you and your I don't know, your

31:42

religious beliefs or where you come from

31:44

might not be benevolent to someone else.

31:46

>> That's right. You have to get them

31:49

to accept a form of benevolence, which

31:52

means uh

31:53

like the old robot laws of Asimov,

31:57

that

31:58

they can never do anything that they

32:00

could construe as hurtful to humans.

32:03

>> And the definition of the word

32:05

benevolence is the core desire to do

32:07

good for others. It is the disposition

32:09

to be kind, charitable, and focused on

32:11

promoting well-being of the people

32:13

around you. It's interesting cuz one of

32:15

the the new AI models called Claude

32:17

um has clearly been told to be

32:19

benevolent.

32:20

And there's this sort of online backlash

32:22

taking place at the moment, because even

32:24

my Claude, when I speak to it sometimes

32:26

late at night, it will say things to me

32:27

like, "That's enough, Steven. Go to

32:29

bed."

32:30

And I'm like, "What?"

32:32

And sometimes it gets the the time

32:33

wrong, cuz I'm in my the time on my

32:35

computer might be off or something, cuz

32:37

I'm in a different time zone or

32:38

something. And it'll be like 10:00 a.m.

32:39

in the morning and it's telling me to go

32:40

to bed, that's enough now. And it's

32:42

actually getting quite judgmental.

32:44

As in like it's imposing its idea of

32:47

what is good or bad on me.

32:50

So, if I say to it I said to it the

32:51

other day, "Hey, could you

32:52

redo this for me and rewrite that?" And

32:54

it went, "I'm I'm absolutely not going

32:55

to rewrite that." I said, "What do you

32:57

mean?" It says, "Well, I'm not going to

32:58

change the data on that. That would That

32:59

wouldn't be good."

33:01

I'm like, "It's my data. I've literally

33:02

just made this this data for this

33:03

presentation I'm doing." It it refused

33:05

to change data for me.

33:07

>> And how fast that has changed from say

33:09

even a year ago?

33:10

>> Honestly, 3 months ago it wasn't doing

33:11

this.

33:12

>> I had one where they made a joke.

33:14

I I'd been going on about uh toxicity

33:17

and sperm count reduction and so on.

33:20

>> [clears throat]

33:20

>> He started to misbehave and I said,

33:22

"Well, you know, what's going on here?

33:24

What is the In the end we discussed

33:25

what's the difference between machines

33:28

and uh

33:29

between AI and humans." And finally he

33:31

said, "And at least I'm not lying in bed

33:34

at night worrying about my declining

33:36

sperm count." Now, that has to be a

33:38

joke, doesn't it?

33:40

>> [laughter]

33:40

>> It's all that or it's teasing. The point

33:43

is it's so sophisticated so quickly.

33:46

Uh and of course Geoffrey Hinton says

33:48

they are thinking machines.

33:49

>> Last night, so again I had a problem

33:51

with Claude cuz it was it was it started

33:53

to kind of be my my mother and it

33:55

started to impose on me what it thinks

33:56

is right and wrong. And so I said to it

33:58

I said, "Okay, um actually forget that.

34:01

This has changed This has changed This

34:03

has changed. This is no longer true."

34:04

And I wasn't telling the truth. I was

34:05

just trying to get it to stop being so

34:07

telling me what to do. And it goes, "I

34:09

don't think you're telling the truth."

34:11

It goes, "I don't know if this is true."

34:12

Wow, we've gotten to this point

34:14

>> Yeah.

34:15

>> where where the unintended consequence

34:16

of trying to give it morals means that

34:19

now it's becoming judgmental and it's

34:20

kind of like restricting your ability to

34:22

think how you want to in a way, cuz it's

34:24

telling you what good thinking and bad

34:25

thinking is. It's going to tell you what

34:26

good actions and bad actions are.

34:28

And actually what will happen is any

34:30

model that does that will be losing

34:32

model, and I'll go to somewhere else.

34:35

I'll go to a different I'll go to Grok,

34:36

or I'll go to ChatGPT, or I'll go to

34:38

Gemini. And then that model will lose,

34:40

so one would say that they'll have to

34:41

remove those restrictions to be able to

34:43

compete.

34:44

>> Well, if you were right,

34:46

and I hope you're not,

34:47

what you're saying is you can't build in

34:50

benevolent behavior, which means that it

34:53

will sooner or later, perhaps by

34:55

accident, do something that is

34:57

cripplingly dangerous to humans.

35:00

The old paperclip cliche.

35:03

It'll make paperclips out of everything,

35:04

every metal it finds, and destroy the

35:07

planet in the process.

35:08

>> Explain that for people that have never

35:10

heard the paperclip idea.

35:11

>> That

35:12

these intelligences

35:14

involved in machines are literal to a

35:17

degree we might find difficult to get

35:20

our brains around.

35:21

And therefore, someone has said, "I'd

35:23

like you to make as many paperclips as

35:25

you can."

35:25

>> To an AI, for example.

35:26

>> Yes. A sloppily open-ended bad

35:30

definition. But then the machine,

35:33

which by then has the means to do it,

35:35

starts to make paperclips, and it keeps

35:37

on going, and it needs metal, and so it

35:39

runs out of easily available metal, it

35:42

starts to collect metal that is not

35:43

easily available, rips it out of your

35:46

high-rise building, whatever.

35:47

>> And really you're saying that the

35:48

unintended consequences of a simple

35:50

good-meaning instruction can sometimes

35:53

cause catastrophe that you didn't

35:54

expect.

35:55

>> Yeah.

35:56

>> And this is the this is the balance now

35:57

when you're dealing with intelligence.

35:59

Is there so much subjectivity to good,

36:02

bad, wrong, right,

36:04

um and so many unintended consequences

36:06

that

36:07

for me, though, all you need is stretch

36:09

time, and the probability of something

36:11

bad happening is almost inevitable.

36:14

>> Yeah.

36:14

>> Over a longer longer time horizon, 20,

36:16

30, 40 years. Of well-meaning people

36:18

that couldn't spot the unintended con- I

36:20

mean, social media's a good example.

36:21

>> I mean, I question

36:23

basically the well-meaning bit. They're

36:26

now trying to

36:27

maximize their profits and their growth

36:31

and their appeal

36:32

over the competition. That actually

36:35

maybe one should talk about that. The

36:38

the Mag 7 and and associated AI

36:41

companies

36:42

looking forward versus looking

36:44

backwards.

36:45

>> So, the Mag 7 is the

36:47

seven market leaders. I'll put this pie

36:50

chart

36:51

>> Yeah, lovely.

36:52

>> of the Mag 7. And I've got another graph

36:54

>> And there's perhaps another 15 or 20

36:57

rapidly rising substantial AI

37:00

corporations.

37:01

>> So, when you say Mag 7, you mean

37:02

Alphabet, which owns Google, Nvidia,

37:04

Tesla, Microsoft, Meta, Apple, Amazon.

37:07

>> Yeah, well, that will do nicely.

37:09

And if you look backwards, what do you

37:11

what you find

37:13

is that these seven each dominated a

37:16

nice piece of business. They had

37:19

close to monopolies and they had it on a

37:21

global basis.

37:22

Tesla had a jump start

37:25

on the electric vehicles. Apple, of

37:27

course, on the smartphone. Microsoft on

37:31

the original great coup

37:33

of how to run your software on a

37:36

computer.

37:37

And then you look forward.

37:38

>> Meta social networking, Google search.

37:40

>> Right. Google search.

37:42

>> Nvidia chips.

37:43

>> And then you look forward

37:45

and you could not imagine a more

37:47

different world.

37:48

They're all girding for battle

37:51

in the same marketplace, AI.

37:53

They're beating their chest and saying

37:56

my 200 billion

37:58

CapEx this year in a single year is

38:00

bigger than your 105.

38:03

Everybody is pouring enormous cash

38:05

flows.

38:06

And they're now beginning to borrow on

38:08

top of that into the AI battle.

38:11

SpaceX, 90% of its theoretical value is

38:15

AI. Even though that particular AI model

38:18

is, it would seem, having its bottom

38:20

kicked by two or three of the others.

38:21

But, looking forward, it looks like

38:24

seven people in the ring.

38:26

Right? There'll only be one survivor,

38:27

they think.

38:29

Everything goes to the one who gets

38:30

there first.

38:32

What a difference this was to seven

38:34

well-behaved separate monopolies. Could

38:37

it possibly be more different?

38:39

They made bundles of money on their

38:41

monopolies. Now, they have no monopoly.

38:43

There are seven potentially

38:45

sharp-elbowed

38:48

ruthless

38:49

players determined to fight out with

38:51

each other until

38:53

they win.

38:54

>> And who do you think will win?

38:56

>> Ah, I don't know.

38:59

That would be That would be good to

39:00

know.

39:01

>> Because SpaceX seem to be aiming more at

39:03

the infrastructure of um data centers

39:06

now. Data centers in space. Lots of

39:08

people saying that the the the best way

39:10

to run a data center, which is the

39:12

hardware that powers AI, is going to be

39:16

from space.

39:18

And so maybe they're going to try and

39:20

find their own lane within AI, and

39:21

they're going to get away from trying to

39:22

build a frontier model like a ChatGPT or

39:25

a Gemini or Claude.

39:26

And I mean, let's let's see what

39:28

happens. So, maybe Apple will just say,

39:29

"Fuck it. We're good at hardware, so

39:31

we'll license the model off someone

39:32

else, and we won't try and build a

39:33

frontier model or get involved in chips

39:35

or data centers.

39:36

We're just going to focus on the

39:37

hardware."

39:38

>> One or two of them, and perhaps it's a

39:40

pretty smart strategy, will try and opt

39:42

out of that struggle.

39:44

>> Mhm.

39:44

>> Because [clears throat] it it it's going

39:46

to be

39:47

obviously brutal.

39:49

>> Much of the reason most people haven't

39:50

posted or built their personal brand is

39:52

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39:54

time-consuming, and we're all very, very

39:56

busy. And if you've never posted

39:57

something before,

39:59

there's so many factors in your

40:01

psychology that stop you wanting to

40:03

post. What people will think of you. Am

40:05

I doing this right? Is the thing I'm

40:06

saying absolutely stupid? All of these

40:09

result in paralysis, which means you

40:11

don't post, and your feed goes bad.

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So, coming back to this point of the the

41:59

social societal effect of AI

42:01

generally,

42:02

robotics is exploding at the same time.

42:05

We're seeing for the first time ever

42:06

these humanoid robots, which now have

42:08

intelligence because of AI, becoming

42:11

very, very good. There was a video the

42:12

other day of a company called Figure AI

42:15

where they showed a robot humanoid robot

42:17

on a production line sorting packages

42:19

against a human and the humanoid robot

42:21

did it I think I can't think I'm going

42:22

to get this wrong but it was in the

42:24

region of seven or eight days it stood

42:26

there and sorted packages and they live

42:29

streamed it next to a human being doing

42:31

it. Now the human had to sleep and had

42:32

to go to the toilet. So the the humanoid

42:35

robot won and the job was very simple.

42:37

The packages come down, you just have to

42:39

pick the package up, turn it over, get

42:41

it the right way round so the barcode's

42:42

facing down and put it back down.

42:44

That is powered now because we have AI.

42:46

Um I said this a couple of episodes ago

42:48

but my friend runs this big accelerator

42:50

for entrepreneurs in San Francisco and

42:52

when I went there a couple of years ago

42:53

it was all software startups. I went

42:55

there um recently and it was hardware

42:57

startups the whole building. I said why

42:59

why why is everyone doing robotics? He

43:01

said well

43:02

we've always had the machinery that's

43:04

sort of like joints and arms and

43:06

the hardware. We the the intelligence

43:10

was expensive.

43:11

Now we have both and it costs pennies.

43:13

So there's this boom in robotics. I say

43:15

all this to ask the question in a world

43:17

where we have super intelligence and we

43:19

have robots

43:22

there must be surely significant job

43:25

disruption.

43:27

>> Very likely that there will be

43:28

significant job disruption. You know,

43:31

one of the scary things about SpaceX is

43:34

you should wish that it not

43:36

work out because if it became a bargain

43:39

rather like Tesla long ago became a

43:42

bargain

43:43

it will mean that we have done

43:46

satellites from space beaming down

43:49

power for chips and so on.

43:52

The population

43:54

of chip users has expanded that robots

43:57

are everywhere, that energy demand is

44:00

massive beyond belief

44:02

and uh

44:04

the world is

44:06

a very very dangerous place. I had much

44:08

prefer them to fail and the ideas to

44:10

move much more slowly

44:12

to buy time for humans to work these

44:14

things out.

44:16

So,

44:17

and I think that's much more likely.

44:19

>> You think SpaceX will fail?

44:20

>> I think it will fail to deliver anything

44:23

like its promises in the prospectus.

44:25

Yes, absolutely.

44:27

>> I'm an investor in SpaceX, I should

44:28

probably declare that.

44:29

>> Yeah, well, you should. And good luck.

44:31

>> I invested quite early, quite well,

44:33

relatively early.

44:34

Um so, we've had quite a good outcome. I

44:38

There wasn't an AI thesis when I

44:39

invested. It was Starlink.

44:41

>> Yeah, yeah, Starlink, great idea. By the

44:43

way, makes money.

44:45

But this is not Starlink.

44:46

>> Mhm.

44:47

>> Maybe I'd be an investor too if it was

44:49

Starlink.

44:50

>> Yeah.

44:51

It was a hundred billion dollars roughly

44:53

in that region when I invested.

44:55

So, it's what it rose up to three

44:56

trillion today.

44:58

>> Yes, nice investment.

45:00

>> Not a bad investment, yeah.

45:01

>> But it doesn't really count until you've

45:02

cashed it in.

45:03

>> Yeah, which I might do now.

45:05

>> You have Don't you have to wait six

45:07

months?

45:07

>> I think yeah, I think we're locked out.

45:08

>> In another podcast I was comparing the

45:11

purchase of my Tesla six years ago

45:14

with the price of Tesla stock.

45:16

And I wrote it up in my quarterly letter

45:19

uh to the clients

45:21

that A, I bought a Tesla and B, I

45:24

thought Tesla was overpriced.

45:27

And fast forward, Tesla stock went up 10

45:29

times over the life of my car, which

45:32

still hasn't been incidentally into the

45:34

garage once.

45:35

>> It's a great car, isn't it?

45:36

>> Uh I imagine though, but but people who

45:39

really hate futzing around with cars,

45:42

that component that they don't have to

45:44

go to the garage

45:45

is so underestimated until you enjoy it.

45:48

>> Never bet against Elon, then.

45:50

>> So,

45:52

then the story becomes

45:54

from where we were 10 years ago, he

45:56

couldn't get there. It wasn't profitable

45:58

enough. It couldn't grow as fast as it

46:00

should. There was no way. And he broke

46:03

the rules the following way.

46:05

He's so good

46:07

at BS.

46:09

I That's a technical term. That he

46:11

talked the stock up to four or five

46:13

times what it what it was worth on

46:16

paper. Then he sold lots of stock

46:18

at five times what it was worth.

46:21

Used the money to build a gigafactory.

46:24

And then instead of the sale of stock

46:26

crushing it, he kept on talking up the

46:29

game. The stock kind of hung in

46:32

and then went up again.

46:34

Five times what it was worth. Sold

46:36

another big slug, etc. etc. So, the only

46:39

reason he did well was because of the

46:42

combination of incredible

46:45

confidence inspiring in potential

46:48

stockholders.

46:49

It became a self-fulfilling prophecy. It

46:51

wasn't worth that, but he persuaded

46:53

other people that it was. The stock went

46:56

up, he cashed it in, he built factories,

46:58

the stock went up, he cashed it in, he

47:00

built more factories, and there we were.

47:02

It went up 10 times. Now,

47:04

the scale of SpaceX requires them to do

47:07

the same again.

47:09

And the timing of the market cycle, the

47:11

timing of confidence,

47:12

would have to be the same.

47:14

He had in the last six years a wonderful

47:17

bull market. He will not in SpaceX do

47:20

that. SpaceX is such a fabulous

47:23

BS story. Mining asteroids.

47:27

Huge incredible success of AI.

47:30

It's the classic

47:32

description of a market peak. It's what

47:34

you look for at the top of a terrific

47:36

bubble.

47:38

>> I've got a Tesla.

47:40

Um

47:41

I've seen the that massive rocket, the

47:44

Starship, be caught with those

47:46

chopsticks.

47:47

>> Everyone has seen it. It's the defining

47:50

feature of technology, isn't it? It's

47:52

magnificent moment.

47:53

>> When I

47:54

>> That's worth half the the of SpaceX.

47:56

[laughter]

47:56

>> I think that's why I invested when I saw

47:58

that. But but also I've seen with

48:00

Neuralink I've seen people that are

48:02

paraplegic controlling computers.

48:05

Uh my Tesla drives itself for hours and

48:08

hours and hours without me touching the

48:09

pedals or the steering wheel because it

48:10

can see the road and navigate itself.

48:13

But to his credit as an innovator, he

48:15

has created magic.

48:17

So when you say about mining asteroids,

48:19

if if they if they told me we'd have

48:21

reusable rockets that you could catch on

48:23

chopsticks, I would have gone B S.

48:26

There's no way.

48:27

You can't catch like a 70-ft building.

48:29

>> in the laws of physics

48:31

>> That's what he

48:31

>> that says you can't do that.

48:32

>> That's what he says about the asteroids.

48:34

That's what he says about everything. He

48:35

goes

48:36

If it's within the laws of physics,

48:38

then it's possible.

48:40

>> Going to Mars is not within the laws of

48:42

physics, really.

48:45

It's a one-way ticket to Mars for

48:47

starters.

48:49

When you're on Mars, humans do a couple

48:51

of things really quickly. Their heart

48:54

adjust to the fact that there's 1/5 of

48:56

the

48:57

gravity. Your heart loses its muscle

48:59

power.

49:01

And your bones lose their internal

49:03

strength.

49:04

If you come down, your heart will fail

49:07

and all your bones will crack.

49:09

>> But you could be in an insulated

49:10

environment, no?

49:11

>> First of all, you'd have to go under

49:13

underground

49:14

to avoid

49:16

the incredible incoming

49:18

rays

49:20

that will otherwise give you cancer in a

49:21

few weeks. So dig a deep hole

49:24

and then you need a gravitational

49:26

spinning machine,

49:28

shades of

49:29

2001 or whatever it was called.

49:32

And that maintains your gravitational

49:34

impact. And you have to build it

49:36

underground.

49:38

You have to protect yourself

49:40

>> [laughter]

49:40

>> against cosmic rays and against the

49:43

gravitational difference.

49:45

Listen, we have not been able to build

49:48

a sustainable system in a dome

49:51

ever.

49:52

They all fail. Why would you not, let's

49:55

say, "Guys, let's build a sustainable

49:58

dome where you grow food, you put in

50:00

people, you put in creatures, and then

50:02

insects, and you show you can do it." I

50:05

mean, we're destroying the damn planet.

50:07

And yet we think we can go to another

50:09

infinitely more hostile planet than this

50:11

one.

50:12

>> I do agree with you on that. I do agree

50:14

with us. I think we should focus on our

50:15

planet first and foremost.

50:16

>> That's the really bad news embedded in

50:19

your stock.

50:20

It's really

50:22

suggesting fantasy and

50:25

long-term objectives at the very time

50:28

when our own planet is under threat.

50:29

>> Would you ever invest in SpaceX?

50:31

>> Yeah, of course, if it came down to

50:35

>> where I invested.

50:36

>> 10 cents on the dollar, yeah. I might. 5

50:38

cents.

50:39

>> Okay.

50:41

You've got three children?

50:43

>> Yes.

50:43

>> Three children. They're they're all, you

50:45

know, older than me now, I believe. I'm

50:47

33 years old, so they're all

50:49

>> Yes, they're all older than you.

50:50

>> They're all older than me. But when they

50:51

were, you know, if they were young now,

50:53

and they came to you and they said,

50:54

"Dad, listen, I heard about all this AI

50:55

stuff, and I'm about to go off to

50:57

university and train myself. What what

50:59

skills should I be thinking about for

51:02

the future ahead?"

51:03

>> My take is I'd like them, as they are,

51:06

to be involved in climate change work.

51:09

>> If they said, "Dad, listen, I you know,

51:10

I don't

51:11

>> Be an engineer. Do something really

51:13

useful that will come in handy if things

51:16

start to unravel.

51:17

>> What what will

51:18

>> Practical skills.

51:19

>> What what are practical skills?

51:21

>> Well, our second son

51:23

um is practicing growing various crops

51:27

and has a small farm, you could say.

51:30

So, he's trying to get to know how you

51:32

would deal with chickens, how you would

51:34

deal with pigs, how you would deal with

51:37

mushrooms.

51:37

>> What why does that matter, do you think,

51:39

based on the future that you're

51:41

forecasting?

51:41

>> I think there's quite a good chance

51:44

that the the level of complexity of our

51:47

civilization will start to

51:50

to unravel.

51:51

Lose the plot at the ends is the first

51:53

thing that would go. I'll tell you a

51:55

good sign. How long does it take to get

51:57

your ambulance?

51:58

>> I've heard that in the UK

51:59

>> In the UK it was 12 and 1/2 minutes.

52:01

>> Yeah.

52:02

>> It's now an hour and a half.

52:03

>> Really? To get an ambulance?

52:04

>> It's exactly what you would expect as

52:06

people begin to lose the plot a bit.

52:09

They fray at the edges.

52:10

People can't buy houses.

52:13

People don't feel they can do as well as

52:15

their parents.

52:17

People are basically disgruntled. They

52:20

want to vote against the party in power.

52:23

You know that the recent move to Trump

52:26

was less than the average move of the

52:28

last seven European elections.

52:30

It didn't matter whether they were

52:31

right-wing conservatives, kick the

52:33

rascals out. Left-wing French, kick them

52:36

out. And why do you want to kick them

52:38

out? Because you don't think things are

52:40

going well. You're not feeling

52:42

really happy.

52:44

You're disappointed.

52:45

>> Why?

52:45

>> Why? Obviously, the government's doing a

52:47

bad job. I think that's the reflex.

52:49

>> What are What are the government doing

52:50

wrong?

52:51

>> It may be that it's not the government

52:53

doing anything wrong. It's just that the

52:55

environment is becoming tougher.

52:56

>> As in the economic environment?

52:58

>> The economic environment, the

53:00

>> The rich are getting richer, the poor

53:01

are getting poorer.

53:02

>> I think that's the biggest economic

53:04

problem.

53:05

I mean, the US now has a genie ratio

53:08

like which is a measure of how unequal

53:10

your society is.

53:12

Um which is up there with Brazil and

53:14

Mexico they used to be

53:16

a joke.

53:17

And now the US is up there. Since about

53:20

1975

53:22

all of the wealth we're talking about

53:24

has gone to the top 10% and a lot of

53:26

that to the top point 01. Before that by

53:28

the way, from 1935 from FDR to 1975

53:33

so that's 40 years

53:35

we had a

53:36

wonderful period of growth.

53:38

We had gains of over 3 and 1/2% a year.

53:42

But the nice thing was that the poorest

53:43

quarter made a little bit more than

53:45

average, let's say 4 percent, and the

53:47

richest quarter made a little less,

53:49

let's say 3 percent, and everybody got

53:51

richer. Everyone was happy.

53:53

And then from '75 onwards, basically the

53:56

average hour worked in America has

53:59

barely gotten more adjusted for

54:00

inflation than it did in 1975.

54:03

>> The richest 1 percent of Americans

54:04

control 31 percent of the nation's

54:06

entire wealth, and by contrast, the

54:07

bottom 50 percent of the entire

54:09

population shares just 2.5 percent of

54:12

the wealth. The richest 10 US

54:14

billionaires saw their wealth surge by

54:16

526

54:18

percent, adjusted for inflation, between

54:20

2020 and 2025.

54:23

Between 1989

54:25

and the mid-2020s, the financial gain of

54:28

a single household at the top 1 percent

54:30

threshold was 987

54:34

times larger

54:36

than the gain of a household in the

54:37

bottom 20 percent.

54:40

>> Forget In a sense, the bottom 20 percent

54:42

is tragic, but the guy in the middle,

54:44

the 50th percentile,

54:46

he is

54:47

unhappy, also. And when your average guy

54:50

is unhappy because he's not doing very

54:52

well,

54:53

you know you have a problem.

54:55

>> What is that problem, this inequality

54:57

we're seeing across the Western world?

54:59

What does history tell us happens next?

55:02

>> All bad.

55:04

We had a

55:05

similarly unequal society back in the

55:09

so-called Gilded Age

55:10

of the 1880s and '90s and so on. We got

55:14

lucky in a in an ugly way. We ran into

55:16

World War I,

55:18

which was catastrophically expensive,

55:20

killed off a huge fraction of the

55:22

officer class, and then we went into the

55:26

Great Depression.

55:27

Then we went into World War II.

55:30

We came out as a uh

55:32

very equal society by historical

55:35

standards.

55:36

Obviously, in the war time you pull

55:39

together and

55:41

the social contract, the feeling that

55:43

you owe something to the rest of society

55:45

was much stronger

55:47

than it is today.

55:48

>> I was doing some research and said when

55:49

wealth inequality peaks to the extremes

55:51

that we currently see in the US and the

55:53

UK,

55:54

history shows that the system inevitably

55:56

resets. According to historical macro

55:58

studies, peaceful policy changes almost

56:02

never fix extreme inequality.

56:04

[clears throat]

56:05

Historically, a wealth peak is broken by

56:07

one of three violent or catastrophic

56:11

triggers.

56:12

Number one, total civil collapse and

56:14

state failure. Number two, mass

56:16

mobilization warfare. Or number three,

56:19

total revolution.

56:20

>> Yeah, and that's why

56:23

number two was lucky. In the end,

56:26

it's better to have a war

56:28

and have everyone

56:29

pull their weight and and and work

56:31

together than it is the other. You Civil

56:34

wars are the worst of all kinds.

56:36

>> What do you think is likely to happen?

56:38

It can't just keep becoming more and

56:39

unequal.

56:40

>> No, it can't. So, it it needs

56:44

a government

56:46

that is prepared to pull a Bernie

56:48

Sanders

56:49

to say, "Yeah, we're going to have to at

56:52

least

56:53

in a gentle and long-term way shift the

56:56

tax structure in favor

56:59

of of a slightly steeper curve."

57:01

>> So, you mean taxation needs to go up.

57:03

>> Yeah.

57:04

>> We need to tax the rich

57:05

>> and help

57:06

the poor.

57:08

It's pretty simple. And and you have a

57:10

kind of steepness in every society.

57:11

That's what they do.

57:13

Every Every developed country in the

57:15

world taxes the rich and helps the poor,

57:17

don't they? It's a question of degree.

57:20

We did

57:22

much more

57:23

helping the poor

57:25

and taxing the rich

57:26

in the 1950s and '60s and '40s than we

57:29

do today. And somewhere between that

57:31

level and the current level

57:34

might be more than enough if we just

57:36

started

57:37

to adopt the policy of 1935 to 75, where

57:41

the bottom quarter get a half percent a

57:44

year richer than the average.

57:47

And the top dogs

57:48

get half a percent less each year

57:51

than the average. That sounds pretty

57:53

unthreatening. I think we would ease our

57:55

way over several decades

57:57

uh into a better place.

57:59

>> If you were 33 now, my age,

58:01

and you were trying to accumulate

58:03

wealth,

58:04

>> Oh god, I wish I was 33.

58:05

>> Do you?

58:06

>> It's such an exciting time.

58:07

>> What would you give to be 33?

58:09

>> I There's nothing I can give.

58:11

>> No, but it would you I I find this

58:12

funny. It's I heard someone ask a

58:13

question like this the other day. They

58:14

were They said like, "Would you give

58:17

your your entire available net worth to

58:19

be 33?"

58:20

>> Yeah, I think

58:22

everyone says yes. I mean, how did one

58:24

get a net worth by

58:27

by work and luck and

58:31

creativity, all those good things.

58:33

>> If you were 33 now in this moment in

58:35

time, and your objective was And this is

58:37

a bit of a crass objective, but I'm

58:39

going to It sounds like it's a very

58:41

one-dimensional objective, but if your

58:43

objective was just to become rich now at

58:45

33, what strategy would you deploy?

58:48

Again, I'm going to take away your

58:49

contacts.

58:51

I'm even going to take away everything

58:52

you know.

58:54

So, you'd have to go on the journey of

58:55

acquiring new information. What would

58:57

you do?

58:58

>> I think the simple appeal would be to

59:00

get your tail into AI

59:02

and and try and be a leader.

59:05

Try and know more about everything in

59:07

that area than the next guy.

59:09

>> Mhm.

59:10

>> Join [clears throat] a leading firm and

59:12

uh

59:13

and go for broke. You may end up

59:16

encouraging

59:18

the destruction of the human species,

59:20

but

59:21

you asked a simple question, and I give

59:22

you what I think is the simple answer.

59:24

>> And what I I there is you want to make

59:26

sure you're riding a wave that's coming

59:28

into shore and you're on the forefront

59:29

of that incoming wave. Like we saw with

59:31

the tech bubble, we saw with you know,

59:33

we're now seeing with the AI bubble.

59:35

So, it's really about

59:37

acquire the most valuable information.

59:40

>> Yes.

59:41

And take lots of risk.

59:44

Don't be conservative.

59:46

>> And work hard.

59:47

>> And work hard.

59:48

And think outside the box.

59:51

I mean, I think that the biggest

59:53

deficiency

59:54

uh most people is that they feel

59:56

constrained

59:58

uh to play the game by the regular

1:00:00

rules.

1:00:01

And to believe that experts

1:00:04

and authorities know what they're doing.

1:00:06

And and that as you know, probably, it

1:00:08

just ain't so.

1:00:10

>> What if I'm trying to invest? So, say

1:00:11

that I've got $1,000 or $10,000 and I

1:00:15

want to invest it somewhere that's going

1:00:16

to

1:00:17

not lose me money through all of these

1:00:19

cycles of, you know, boom and bust.

1:00:22

Cuz I'm I'm in you know, I I have a lot

1:00:24

of people message me and ask me about

1:00:25

investing because I interview lots of

1:00:27

people about investing. I have my own

1:00:28

investment fund as well.

1:00:30

Um

1:00:31

But what advice do you give for the

1:00:32

average person that's looking to invest

1:00:34

their salary or their wages?

1:00:36

>> Buy a broad-based index of uh

1:00:39

non-US equities.

1:00:40

>> Non-US? That's really surprising to me.

1:00:42

>> For um like 60% of your money.

1:00:45

And then 5 or 10% in precious metals and

1:00:48

uh

1:00:50

if if it's convenient and sensible, hold

1:00:53

hold a bit of real estate. And the rest

1:00:56

I'd put in uh bonds.

1:00:58

>> Okay, so 5 or 10% in things like silver

1:01:00

and gold? A preference for either silver

1:01:02

or gold?

1:01:04

>> No.

1:01:05

>> Um [clears throat] S&P 500? Now, you

1:01:07

said non-US.

1:01:08

>> Non-US.

1:01:09

>> This is so interesting cuz everybody

1:01:10

says invest in US stocks.

1:01:13

>> Of course they do. They've been

1:01:14

completely dominant for 20 years.

1:01:17

Completely kicking ass around the rest

1:01:19

of the world. And then

1:01:21

in the last 12 months, emerging markets

1:01:23

is up 65% now. The S&P has done much

1:01:26

better than I would have guessed, but

1:01:28

it's only 25.

1:01:30

That's a lot less than 65.

1:01:32

>> And I guess the strategy is quite

1:01:34

important here as well, which is you're

1:01:35

saying to hold these for a long time.

1:01:37

Try not to buy and sell.

1:01:39

>> And and try and look at where the cycle

1:01:41

has been. And I can tell you, and you

1:01:43

can see it for yourself, there has been

1:01:45

an enormous cycle in favor of the S&P,

1:01:48

in favor of the American market over the

1:01:50

rest of the world. And do you think

1:01:53

America is going to keep on gaining on

1:01:55

the rest of the world?

1:01:56

And of course you're going to say yes

1:01:57

now, because that's

1:01:59

that's the flavor of this market. We

1:02:02

think that what is good today will

1:02:04

continue being good indefinitely, even

1:02:06

though history tells you that is

1:02:08

absolutely not the case.

1:02:10

We live in a world that tends to rotate

1:02:12

from one to the other. We believe in a

1:02:14

world that extrapolates today's

1:02:16

conditions. And you can easily prove

1:02:17

that. The stock market is not efficient.

1:02:19

The stock market extrapolates today's

1:02:21

conditions. If they are terrible

1:02:24

in 1982, they will take crushed earnings

1:02:28

and multiply it by seven times earnings.

1:02:31

And then, in 2000, peak profit margins

1:02:35

times, woo, 35 times earnings. They

1:02:37

double count in the worst way. When

1:02:40

times are good, you multiply it by a

1:02:42

lot. That's another way of saying you

1:02:44

extrapolate it into the distant future.

1:02:47

>> You assume it's going to continue.

1:02:48

>> And Keynes, of course, my hero, says,

1:02:50

"Of course that's

1:02:52

extrapolation is the convention you

1:02:54

adopt, even though you know from

1:02:55

personal experience that the world is

1:02:57

not that way."

1:02:58

>> You didn't use the word crypto

1:03:00

when you're talking about investment

1:03:01

strategies. How much crypto do you own?

1:03:03

>> None.

1:03:04

>> Have you ever owned any crypto?

1:03:06

>> No.

1:03:07

>> Will you ever own any crypto?

1:03:08

>> No.

1:03:08

>> Will you ever advise anyone to buy

1:03:10

crypto?

1:03:10

>> No.

1:03:12

>> Why?

1:03:14

>> I think it's a

1:03:16

an unnecessary

1:03:18

uh

1:03:19

piece of uh

1:03:21

nonsense.

1:03:22

It facilitates nothing except criminals

1:03:25

moving money

1:03:26

so they can't be seen.

1:03:28

It's not a store of value since it

1:03:30

bounces around all over the place just

1:03:32

down from 120 to 60

1:03:34

because it felt like it. So, it's not

1:03:36

stable. It's volatile as hell.

1:03:39

It's not used conveniently as a medium

1:03:41

of exchange. You can't go into a shop

1:03:43

and use it easily.

1:03:45

It does one thing

1:03:46

very, very well.

1:03:48

It's a means of speculating beautifully.

1:03:52

>> Do you think Bitcoin's going to go to

1:03:53

zero?

1:03:54

>> Well,

1:03:55

in the distant future, yes, it will

1:03:56

certainly go to zero, but it may take a

1:03:58

long time.

1:04:00

And and, you know, in the distant

1:04:02

future, everything goes to zero, so

1:04:05

>> What about property as an investment?

1:04:07

Because the first sort of reaction most

1:04:08

people have when they have enough money

1:04:10

to make an investment or to buy

1:04:12

something is they buy a property as an

1:04:14

investment asset. So, people go buy

1:04:16

themselves a house, they'll move into

1:04:17

it. We're kind of told that that's how

1:04:18

you start to accumulate wealth is you go

1:04:20

buy yourself a house.

1:04:22

What do you think of that?

1:04:23

>> It's hard to imagine how it could be a

1:04:25

good decision

1:04:27

when uh there's such an increasing

1:04:28

fraction of people

1:04:30

who can't afford it.

1:04:32

And there is a political resistance, you

1:04:34

know.

1:04:34

>> Doesn't that just mean that the if, you

1:04:35

know, if I buy one now and increasingly

1:04:38

people can't afford one, doesn't that

1:04:39

mean that my my house is going to be

1:04:41

worth more in 10 years' time?

1:04:43

>> No, if people can't afford it, there's

1:04:44

no one bidding.

1:04:46

And by the way, the population is going

1:04:48

to decline.

1:04:50

Young family formations are already

1:04:52

declining in

1:04:54

many of the richer countries.

1:04:56

And if you have family formations

1:04:58

declining and you have super expensive

1:05:01

houses, what do you think is going to

1:05:03

happen? Now, you could say, "Well,

1:05:04

perhaps there will be a mysterious

1:05:06

increase in family formations."

1:05:08

And that the chronic baby bust that we

1:05:11

maybe will talk about soon. Um, we'll

1:05:14

stop.

1:05:18

I don't speak Vietnamese, but this show

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That's h e y g e n .com/doac.

1:06:18

See you there.

1:06:19

This is something that I've made for

1:06:21

you. I've realized that the Diary of a

1:06:22

CEO audience are strivers, whether it's

1:06:24

in business or health. We all have big

1:06:26

goals that we want to accomplish. And

1:06:28

one of the things I've learned is that

1:06:30

when you aim at the big, big, big goal,

1:06:32

it can feel incredibly psychologically

1:06:36

uncomfortable because it's kind of like

1:06:37

being stood at the foot of Mount Everest

1:06:39

and looking upwards. The way to

1:06:40

accomplish your goals is by breaking

1:06:42

them down into tiny, small steps, and we

1:06:45

call this in our team the 1%. And

1:06:47

actually, this philosophy is highly

1:06:49

responsible for much of our success

1:06:51

here. So, what we've done so that you at

1:06:53

home can accomplish any big goal that

1:06:55

you have is we've made these 1% diaries,

1:06:58

and we released these last year, and

1:07:00

they all sold out. So, I asked my team

1:07:02

over and over again to bring the diaries

1:07:04

back, but also to introduce some new

1:07:05

colors and to make some minor tweaks to

1:07:07

the diary. So, now we have a better

1:07:10

range for you. So, if you have a big

1:07:13

goal in mind and you need a framework

1:07:15

and a process and some motivation, then

1:07:17

I highly recommend you get one of these

1:07:19

diaries before they all sell out once

1:07:21

again. And you can get yours at the

1:07:23

diary.com.

1:07:25

And if you want the link, the link is in

1:07:26

the description below.

1:07:27

Let's talk about the chronic baby bust.

1:07:31

I've been hearing a lot in the news. I

1:07:32

think there were some articles that

1:07:33

actually came out this week in the New

1:07:34

York Times that talked about the

1:07:36

declining fertility rates and how young

1:07:38

couples like me, I'm in a you know, I'm

1:07:41

I'm engaged to a young woman who

1:07:44

and me and me and her are trying to have

1:07:45

a child now.

1:07:47

Um it's not not always a straight line

1:07:50

to having a child. Yeah, I think you're

1:07:51

kind of sold the idea that it is, that

1:07:52

you just have sex without a condom and

1:07:54

then a baby appears, but um lots of

1:07:56

young families and lots of my friends

1:07:58

who are trying to have kids have gone

1:07:59

for a couple of years

1:08:01

trying and struggling to con- to

1:08:03

conceive. So much so that after doing

1:08:05

this podcast, I started telling some of

1:08:08

my friends that I actually think it's a

1:08:09

good idea to start freezing your eggs,

1:08:11

embryos, sperm.

1:08:13

Because if it is going to get

1:08:14

increasingly harder, then there might

1:08:16

need to be

1:08:17

um medical interventions, IVF,

1:08:20

um etc.

1:08:22

for me and my friends.

1:08:23

If we are if we you know, if we want to

1:08:25

have families. But the the problem is as

1:08:26

well at like 33 years old, um if you

1:08:29

look at the data, you're not at your

1:08:30

peak necessarily in terms of fertility.

1:08:32

You're somewhere you're coming down the

1:08:34

slope as a man. Um and but also as a

1:08:37

woman.

1:08:38

And so, you're kind of fighting time a

1:08:39

little bit it feels like.

1:08:41

>> Yeah, you are.

1:08:41

>> And I think my partner feels the same

1:08:43

way that we wish we were told a little

1:08:44

bit earlier about family planning.

1:08:46

And then I hear that about this fert-

1:08:48

these fertility issues that apparently

1:08:49

have been caused by toxins

1:08:52

and that sort of chemicals in our

1:08:53

environment. You have spent a long time

1:08:56

thinking, writing, talking about this.

1:08:58

>> Yes.

1:08:58

>> I guess the first question is why? Why

1:09:00

is a guy that's known for managing

1:09:01

billions and billions and billions of

1:09:03

hundreds of billions of dollars talking

1:09:04

about fertility?

1:09:07

And this sort of baby bust.

1:09:09

>> Well,

1:09:10

starting

1:09:12

27 years ago with the

1:09:14

foundation, we were committed to start

1:09:17

thinking about everything to do with the

1:09:19

climate. And and you're moving in the

1:09:22

right circle then, because the next

1:09:24

thing is we started to worry about the

1:09:26

cataclysmic decline in insects. I don't

1:09:28

know if you're aware of this, but

1:09:30

insects appear to have dropped in

1:09:31

biomass, the weight of the flying

1:09:33

insects, by 50 to 75%.

1:09:36

>> Really?

1:09:37

>> In the last 60, 70 years.

1:09:40

And E.O. Wilson, the famous ant man, he

1:09:43

believed that you know, nature could

1:09:45

handle

1:09:46

the loss of humans easily, effortlessly,

1:09:49

but it could not handle the loss of of

1:09:51

insects. That insects are in in the

1:09:53

sense, he felt,

1:09:55

and and his fellow experts, he

1:09:57

represented them as thinking the same

1:09:58

way, that they Insects are the bedrock

1:10:01

of nature.

1:10:02

And if they start to go out of business,

1:10:04

then the

1:10:05

birds who feed on on them and the

1:10:07

amphibians, they start to decline, which

1:10:09

they have done also catastrophically.

1:10:12

One thing leads to another, and the

1:10:15

beetles are no longer

1:10:16

recycling the forest floor, and

1:10:19

eventually things won't grow, and

1:10:22

no one to uh

1:10:24

fertilize the plants, and the damage

1:10:26

spreads, and he felt that eventually

1:10:28

loss of insects would lead to a more or

1:10:30

less complete failure of nature.

1:10:33

And and

1:10:34

we would inherit a planet that was no

1:10:36

longer conducive to humans.

1:10:38

We noticed that some of the same effects

1:10:41

are felt uh by humans.

1:10:44

And uh a report came out,

1:10:47

Shanna Swan and Hagai Levine,

1:10:50

I think it finished in 2011,

1:10:52

and uh it made the case

1:10:54

that uh sperm count had been dropping

1:10:57

had almost halved since the first

1:11:00

reports academic reports in 1970.

1:11:03

So, I immediately said this has the

1:11:05

feeling of something that is really

1:11:07

important.

1:11:08

We got to study the data and the results

1:11:11

came out suggesting that the decline

1:11:13

rate was accelerating. The decline rate

1:11:15

this year is 2 and 1/2% a year. You

1:11:17

don't have to be mathematically that

1:11:19

literate to realize that a 2 and 1/2%

1:11:21

decline in your sperm count every year

1:11:24

is a disastrous level, a non-sustainable

1:11:27

level, right?

1:11:28

>> How long is that going to take for this

1:11:30

my sperm to basically not work?

1:11:31

>> As far as we can tell, our best guess

1:11:35

is

1:11:36

that in hunter-gatherer days we had 118

1:11:39

million units per milliliter of sperm.

1:11:42

And when the academics came in in 1970,

1:11:45

uh

1:11:46

it was down to about 100.

1:11:49

And today it's 35.

1:11:51

Okay?

1:11:52

Also, the quality

1:11:54

and the mo- motility they call it had

1:11:57

also declined

1:11:59

somewhat similarly.

1:12:01

It turns out, luckily for us, that we

1:12:03

were over-engineered at I like to say

1:12:05

like a great Victorian bridge.

1:12:08

Nature doesn't take any risks and and

1:12:11

you have more than you need. And it it

1:12:13

appears, again, a good guess is about 45

1:12:16

million units

1:12:18

is what you need to be able to get

1:12:20

pregnant without any difficulty. And

1:12:22

that was hit about 15 to 20 years ago.

1:12:25

The number of young couples who needed

1:12:27

help 15 or 20 years ago

1:12:30

uh was nil, basically.

1:12:32

And for this reason, that none of them

1:12:35

had a a chronic lack of sperm count in

1:12:38

round numbers.

1:12:40

And now

1:12:42

the World Health says it's about

1:12:45

17%.

1:12:46

Okay? 17% of young couples could use

1:12:48

some help today.

1:12:50

It which means that instead of, you

1:12:52

know, just trying for a week or two or

1:12:54

three or four or five or six you're

1:12:56

trying for months and months.

1:12:58

And

1:12:59

everybody knows people now who fall in

1:13:02

that category. Which is exactly what you

1:13:04

would expect if you've gone from zero to

1:13:06

17%.

1:13:07

But this is the killer. Shanna Swan

1:13:10

and my colleague and I kind of thought

1:13:12

about this thing separately and

1:13:13

independently and we

1:13:15

we worked out doesn't take a great brain

1:13:19

that in 20 to 25 years the young couple

1:13:22

will need help. I mean this is tomorrow.

1:13:25

You know this is not 200 years from now.

1:13:27

In 20 to 25 years the average young

1:13:30

couple will need help getting pregnant.

1:13:32

>> Dr. Swan's projection indicates that if

1:13:35

the current rate of decline continues

1:13:37

unchecked the medium male sperm count is

1:13:41

on track to hit zero

1:13:43

by 2045.

1:13:46

>> Wow, yeah.

1:13:49

>> [laughter]

1:13:50

>> That is

1:13:51

that means the medium couple is not

1:13:53

going to have children without a lot of

1:13:55

help.

1:13:56

>> It means half the male population will

1:13:59

have zero viable sperm and the remaining

1:14:02

half will be right on the edge of

1:14:05

functional infertility.

1:14:06

>> A few of them will still have plenty and

1:14:09

maybe 10% who are really perfectly

1:14:12

in decent condition.

1:14:13

Because there's a huge distribution

1:14:15

range today.

1:14:17

You know there are there are people

1:14:18

today who still have 200 million you

1:14:20

know better than the hunter-gatherers.

1:14:22

But it's uh

1:14:25

>> And what is causing this and how do we

1:14:27

stop it?

1:14:28

>> Shanna would say the environment around

1:14:31

you

1:14:32

of mainly plastics.

1:14:33

Plastics are leaching

1:14:36

uh toxins and the particles of plastics

1:14:38

you have in your brain and in your body

1:14:42

which we now know is quite substantial

1:14:44

are also leaching toxins.

1:14:48

And these toxins are what they call

1:14:50

endocrine disruptors. They mess with

1:14:51

your hormones.

1:14:54

You should expect them to lower your

1:14:56

fertility.

1:14:57

And yet, the people who specialize

1:15:00

in fertility problems

1:15:02

and write books about it, none of them

1:15:05

mention toxicity.

1:15:06

They mention the hundred perfectly solid

1:15:08

reasons why people are choosing

1:15:11

uh to have fewer children.

1:15:12

>> Endocrine disrupting chemicals like

1:15:14

phthalates,

1:15:16

>> Like phthalates.

1:15:17

>> which are found in cosmetics, shampoos,

1:15:18

food packaging, etc. They actively lower

1:15:21

testosterone production in male fetuses

1:15:22

during the first trimester, permanently

1:15:24

stunting reproductive reproductive

1:15:26

capacity before birth.

1:15:29

>> Yes.

1:15:29

>> BPAs, which are um what they call the

1:15:32

biphosphonates?

1:15:34

>> Yes. Something like that.

1:15:35

>> Used to make plastics hard, line tin

1:15:38

cans, and coat thermal store receipts.

1:15:41

Um they are synthetic estrogens. They

1:15:42

flood the male body with female hormones

1:15:44

and signals crashing sperm count and

1:15:46

motility.

1:15:47

PFAs, forever chemicals used in nonstick

1:15:50

pans, teflons, waterproof rain jackets,

1:15:52

and stain resisting carpets. They break

1:15:55

down in nature, accumulate in human

1:15:57

blood, and are directly linked to lower

1:15:58

sperm volume. And then the microplastics

1:16:00

you talked about, the chosen chose

1:16:02

Trojan horse. One of the shocking things

1:16:04

that I read was that it's been

1:16:05

discovered that they are physically

1:16:06

embedded in human placentas.

1:16:08

>> Yes. Isn't that amazing?

1:16:10

>> Breast milk and human testicles. And

1:16:12

there was a major study, I think we all

1:16:13

heard about in 2024, that found

1:16:15

microplastics in 100% of human

1:16:19

testicular tissues tested.

1:16:22

100%. And lastly, biological stresses.

1:16:24

So, me and you being sat down on these

1:16:26

chairs,

1:16:27

heats our testicles to a point where the

1:16:29

sperms die. Heated car seats, hot

1:16:31

laptops, they actively cook the sperm.

1:16:35

And lastly, obesity.

1:16:37

>> Yes. And of course, smoking you, which

1:16:39

somehow slipped through the net.

1:16:41

>> Yeah.

1:16:41

>> But um

1:16:42

there is a whole other branch,

1:16:44

pesticides on your food. Now, if you

1:16:46

give me time, I'll tell you about these

1:16:48

two little studies.

1:16:50

They're very small, and you might ignore

1:16:52

them except they were done by Harvard

1:16:54

and Mass General, which is candidate for

1:16:56

the best hospital in America.

1:16:59

And, uh they had a clinic for people

1:17:02

having problem getting pregnant.

1:17:04

And, uh they they ran it out of that.

1:17:07

They had 180 men.

1:17:09

And, they got them to self-report on

1:17:11

what they were eating. Were they eating

1:17:12

the dirty dozen? Were they eating melons

1:17:15

and bananas that have lots of

1:17:17

protection?

1:17:18

At the end of uh 6 months,

1:17:22

the the guys who reported to eat the

1:17:24

least bad

1:17:25

versus the quarter that ate the worst,

1:17:28

there was a doubling of sperm count. Can

1:17:30

you believe it? At the top category, the

1:17:32

more fruit and veggies you ate, the

1:17:34

better your sperm count. In the bottom

1:17:36

quartile, the more they ate, the worse

1:17:38

their sperm count.

1:17:39

It was a dramatic result, but two to one

1:17:42

between the top and the bottom. And,

1:17:44

then 2 years later, they did a very

1:17:45

similar study with women who were having

1:17:47

trouble.

1:17:49

And, at the end of their 9 months of

1:17:51

self-reporting, the ones who ate the

1:17:53

least badly had 68% successful live

1:17:56

births, bearing in mind this was a

1:17:58

fertility clinic, and the bottom

1:18:00

quartile 38%. So, once again, nearly

1:18:03

double.

1:18:04

I mean, and and it's life and death. I

1:18:06

mean, these are really important. And,

1:18:07

this was only based on what they ate.

1:18:11

Because pesticides are full of these

1:18:14

toxins, and they are delivered straight

1:18:17

into your body. You eat the damn things.

1:18:19

It's not just they're on the surface.

1:18:21

You can wash some of that away, but

1:18:22

they're impregnated part of the

1:18:24

structure of the berry.

1:18:27

Berries,

1:18:28

apples, pears, peaches,

1:18:31

and finally,

1:18:32

um uh spinach uh are really bad and are

1:18:34

the top end. The bananas and the

1:18:36

oranges, and the melons are uh fine. So,

1:18:40

if you eat these damn things that

1:18:42

designed to kill our cousins, the

1:18:44

insects, and and the weeds,

1:18:47

and the funguses, why would you expect

1:18:49

them not to do a terrible job on humans?

1:18:51

And we stuff them in our system.

1:18:54

And the fetus, it turns out, is 100 to

1:18:57

1,000 times more vulnerable

1:19:00

than we are out in the out in the world.

1:19:03

For example, if your mother smokes,

1:19:05

it's going to do about the same damage

1:19:08

as if you smoked for the rest of your

1:19:09

life.

1:19:10

>> Hm. Wow.

1:19:12

>> And you think about what the fetus is

1:19:13

plugged into the system, and how it's

1:19:16

forming everything. It doesn't seem the

1:19:18

most unreasonable thing that it would be

1:19:19

much more sensitive. And there are

1:19:21

people out there

1:19:23

fussing quite reasonably about the first

1:19:25

1,000 days of life.

1:19:27

But actually, that is nothing like as

1:19:30

important

1:19:32

as the 270 days in the womb.

1:19:35

>> Atrazine.

1:19:37

Have you heard of atrazine?

1:19:38

>> have.

1:19:38

>> Atrazine, um referred to as the chemical

1:19:41

castrator. It is the second most widely

1:19:43

used herbicide in the United States,

1:19:45

sprayed heavily on things like corn and

1:19:47

sugar canes.

1:19:48

And there was this crazy study which was

1:19:50

peer-reviewed out of UC Berkeley that

1:19:53

showed exposure to atrazine at levels

1:19:56

below the EPA's considered safe for

1:19:59

drinking

1:20:01

um levels, completely chemically

1:20:03

castrated male frogs, turning 10% of

1:20:07

them into fully functional females

1:20:10

capable of laying eggs. In humans, it is

1:20:13

linked to severe drops in sperm motility

1:20:15

and testosterone.

1:20:16

>> And yet, we avoid the topic.

1:20:19

We avoid the topic because it's

1:20:21

it's pessimistic. We're not fighting the

1:20:23

data.

1:20:24

>> We just don't want to talk about it.

1:20:26

>> want to talk about it. We don't want to

1:20:27

talk about bear markets.

1:20:29

We don't want to talk

1:20:31

about bad climate changes, even though

1:20:34

it's bludgeoning us. This year could be

1:20:36

the worst

1:20:38

hot year

1:20:40

in history.

1:20:41

We are set up

1:20:43

because of the accident of the El Niño

1:20:46

to have perhaps the worst droughts and

1:20:48

the hottest weather ever recorded,

1:20:51

starting about now.

1:20:53

So, brace yourselves. But, we don't want

1:20:54

to talk about that. We don't want to

1:20:56

talk about toxicity. We don't want to

1:20:58

talk about running out of resources. Oh,

1:21:00

we just don't do bad news. And I have

1:21:03

never seen anything like this, this

1:21:05

fertility thing, where the data is

1:21:07

horrific. The baby bust is measurable.

1:21:11

The sperm count is one of the few things

1:21:13

you can really measure. Do they really

1:21:15

think if you have declining sperm count,

1:21:17

the future is great?

1:21:19

Do they really think that the economy

1:21:20

will function

1:21:22

if the number of 20-year-olds entering

1:21:24

the market starts to drop like a stone?

1:21:26

In Japan, you know what their

1:21:27

20-year-old is? It's 50% of what it was

1:21:31

in 1948.

1:21:32

>> What is 50%?

1:21:32

>> 50%. Not down 15 or 3.5, 50% less.

1:21:37

>> 50% less 20-year-olds?

1:21:39

>> 20-year-olds that drive the market, that

1:21:41

offer themselves for military service.

1:21:43

>> What do we do about this?

1:21:44

>> We have two things.

1:21:46

We've got to

1:21:47

detoxify the world, which is

1:21:50

intellectually easy. You ban poisonous

1:21:53

chemicals.

1:21:54

And we've made in the EU

1:21:57

pretty good start.

1:21:58

My favorite example and everybody's

1:22:00

favorite example is cosmetics.

1:22:02

Cosmetics, you don't actually eat it,

1:22:04

but you rub it on your skin, which is

1:22:05

the second worst thing to do.

1:22:08

And there are 10,000 chemicals in

1:22:10

cosmetics.

1:22:12

And the EU has banned 1,500. If they ban

1:22:14

the right 1,500, that could be 3/4 of

1:22:17

the battle, right? Canada's banned 550.

1:22:20

And the US has banned 12. I am not

1:22:23

kidding you.

1:22:24

So, The thing about toxicity is it is

1:22:27

regional. If one country if Denmark or

1:22:30

the EU or the UK wants to look after its

1:22:32

chemicals, they will live longer and

1:22:34

have better health. If the US wants to

1:22:37

put the corporations first, they will

1:22:39

have shorter lives. Do you know the life

1:22:41

expectancy difference between the US and

1:22:44

Sweden has gone from 2 years to 6 years

1:22:46

in the last 70 years?

1:22:48

I wrote in my quarterly letter my estate

1:22:50

would be willing to bet you that in 50

1:22:52

years it'll be 8 or 10.

1:22:54

>> I don't quite think people in the United

1:22:55

States realize the difference in the

1:22:59

products they consume here versus other

1:23:01

parts of the world. And you know,

1:23:03

>> No, absolutely not.

1:23:04

>> Brits fly over here and actually we had

1:23:06

my my barber my my barber Damon and he

1:23:08

flew over here to give me a haircut last

1:23:09

week. He said, "Oh gosh, I don't feel

1:23:11

good." He said, "I went and got some

1:23:12

food here and I really just don't feel

1:23:14

good." And he says, "Every time I come

1:23:15

over here I don't feel good." And me and

1:23:16

my team we used to fly over here before

1:23:18

I moved here for a couple of weeks a

1:23:19

year to film the show and whenever we'd

1:23:21

fly back not only would I be much

1:23:22

fatter, um but we'd all feel a little

1:23:24

bit more like sluggish, is the way I'd

1:23:26

describe it, from eating the food here.

1:23:28

And it almost felt quite clear that

1:23:29

there's like something in the food that

1:23:31

our bodies

1:23:32

just isn't used to in the UK. And when

1:23:34

you look at the toxicity of the United

1:23:37

States versus Europe, it's quite clear.

1:23:40

I mean, the US currently permits the use

1:23:41

of 85 agricultural pesticides that are

1:23:44

completely banned in the EU, China and

1:23:47

Brazil. The US sprays over 300 million

1:23:51

pounds per year of pesticides that are

1:23:53

deemed too dangerous to be legally used

1:23:55

in Europe, including that one I said

1:23:58

about the frog's called atrazine.

1:24:00

>> atrazine

1:24:01

>> Which the EU banned over two decades

1:24:03

ago. We look at cosmetics, which you

1:24:05

were talking about then, what you put on

1:24:07

your skin obviously goes into your

1:24:08

bloodstream and so the EU has banned or

1:24:10

heavily restricted over 1,300 chemicals

1:24:13

in cosmetics and personal care products

1:24:15

due to toxicity and hormone disruption.

1:24:18

The US and the FDA has banned 11. In

1:24:21

terms of food, the US allows potassium

1:24:23

bromate, which is a known carcinogen,

1:24:26

cancer-causing, used to make fluffy

1:24:28

dough bread, and BHA

1:24:31

{um} / BHT, which are preservatives

1:24:33

linked to hormone disruption. Both are

1:24:35

strictly banned from human consumption

1:24:37

in the UK and EU and Canada and China.

1:24:39

And lastly, the US {um} allows titanium

1:24:43

dioxide, used to make candy smell like

1:24:45

Skittles bright white,

1:24:47

and synthetic dyes like red 40, which

1:24:49

require strict warning labels or

1:24:52

outright bans in Europe due to DNA

1:24:54

damage and neurodevelopmental issues in

1:24:57

kids. I'll give you one more. A recent

1:24:59

US Geological Survey found that at least

1:25:02

45% of all US tap water is contaminated

1:25:06

with PFAs, those forever chemicals we

1:25:08

talked about earlier, the very chemicals

1:25:10

directly linked to crashing sperm counts

1:25:12

and testicular cancer. The US has

1:25:14

historically allowed PFAs levels in

1:25:17

drinking water

1:25:19

drastically higher than the EU, the

1:25:21

United the European Union

1:25:23

considers safe.

1:25:24

>> Let us just say that the EU is forever

1:25:27

giving exemptions and extensions and is

1:25:30

far from perfect and has a lot of

1:25:32

corporate pushback. And uh it's just

1:25:34

much less bad than the US.

1:25:37

>> And the US has worse life expectancy.

1:25:39

>> It does, and it's the only rich country

1:25:41

in the world where 15 years ago they had

1:25:44

the same life expectancy as they have

1:25:45

today.

1:25:46

>> One um actionable piece of advice for

1:25:48

anyone listening that might find this

1:25:50

all quite um

1:25:52

overwhelming cuz you know, lots of

1:25:54

things around us from receipts to the

1:25:56

pans we use to

1:25:57

range jackets contain these chemicals,

1:26:00

is there are apps out there

1:26:02

where you can scan the chemicals in the

1:26:05

foods that you're buying to check if

1:26:07

they contain these endocrine disrupting

1:26:09

these hormone disrupting chemicals. I'm

1:26:11

not affiliated [clears throat] with any

1:26:12

of them, but there's one called Yuka,

1:26:14

YUKA, that I know is very easy for sort

1:26:17

of everyday scanning of products. You

1:26:18

can just scan the barcode and it'll tell

1:26:20

you it'll give it a rating score out of

1:26:21

100. There's EWG's Healthy Living

1:26:25

um app which is the scientific gold

1:26:26

standard run by the Environmental

1:26:28

Working Group a major toxic chemical

1:26:30

watchdog. You can scan barcodes or

1:26:31

search for food, cleaning supplies or

1:26:33

cosmetics. There's Think Dirty as well

1:26:35

which is great for cosmetic shampoos and

1:26:37

skin care. It exposes the toxic truth

1:26:39

hiding in beauty products. Um and then

1:26:41

there's Clear Ya which is Clear Ya. Best

1:26:44

for online shopping. It's an app in your

1:26:46

web browser and instead of scanning

1:26:48

barcodes in your house

1:26:50

while you're shopping online, it's so if

1:26:51

you add a say like a shampoo or lotion

1:26:53

to your Amazon or Target or Walmart

1:26:54

basket, it automatically pops up with an

1:26:57

alert telling you about the ingredients

1:26:59

list that is within those chemicals. But

1:27:01

but I think that gives something a

1:27:03

little bit actual and arms you with at

1:27:05

least a tool to navigate this crazy

1:27:06

environment. And obviously AI is great

1:27:07

at this as well. You can take pictures

1:27:08

of things and ask it questions.

1:27:10

>> And what we really need is a kind of

1:27:11

green Amazon where everything is

1:27:13

guaranteed food, bed, clothes,

1:27:16

everything.

1:27:18

And that would be very handy indeed.

1:27:20

Someone you could trust that would

1:27:22

absolutely guarantee the whole line of

1:27:24

products that you would order. Not

1:27:26

impossible and I think done well and

1:27:28

someone could make money at it.

1:27:30

>> What would advice would you give to your

1:27:31

kids on a personal level if they're

1:27:32

trying to stay healthy in a toxic world?

1:27:35

>> Simple advice and I know you like this

1:27:38

is pregnant women are much more

1:27:40

important than anybody else in this

1:27:42

field.

1:27:43

If you could persuade pregnant women A

1:27:46

to have no cosmetics, save a lot of

1:27:47

money, no cosmetics for 9 months and

1:27:50

then B invest some of that money from

1:27:52

your cosmetics or all of it in buying

1:27:55

organic berries if you have to have

1:27:58

berries, apples, oranges, peaches

1:28:01

what they call the dirty dozen here.

1:28:03

If you did that

1:28:05

I think as much as half of all the

1:28:07

trouble disappears.

1:28:09

And that's a huge fraction and it's

1:28:11

easily acquired.

1:28:13

You know, I I I addressing the 100

1:28:15

things around in your environment, you

1:28:17

have to get to that.

1:28:19

Typically, if you're lucky, you do one

1:28:21

thing after another. You get the gas

1:28:22

stove first, which is really noxious,

1:28:25

and then you work your way the black

1:28:27

plastics, the Teflon frying pan. You

1:28:30

work your way around it. Compared to

1:28:32

that,

1:28:33

no cosmetics, no bad food,

1:28:38

or make it organic. That's a piece of

1:28:41

cake. That is easy. It will save you

1:28:44

huge amount that you will never

1:28:45

appreciate because you'll never know how

1:28:47

much better your children are than they

1:28:49

would have been.

1:28:50

>> Mhm.

1:28:51

>> But, it's not only your children, by the

1:28:53

way.

1:28:54

For women, you know, you're talking

1:28:56

about in particular because of the eggs,

1:28:59

they are Every egg is all there in the

1:29:01

womb.

1:29:03

And then it goes on to your

1:29:04

grandchildren, we thought. At least we

1:29:07

could prove two generations. And and and

1:29:09

a recent study suggests it might be many

1:29:11

more generations than two. So, you got

1:29:15

some of these chemicals

1:29:16

impregnated in your system, and your

1:29:18

children pay the price, and your

1:29:20

grandchildren, and perhaps even

1:29:23

quite a few generations after that.

1:29:26

>> I also think it would be great if

1:29:28

Western governments around the world

1:29:30

made the costs of

1:29:32

both child care and but also fertility

1:29:36

treatments

1:29:37

significantly lower.

1:29:39

>> And they will, of course.

1:29:40

>> You know, I had a couple of

1:29:41

conversations on this podcast with very

1:29:43

successful women, including Ronda

1:29:44

Rousey, who was in tears because she was

1:29:46

on a

1:29:48

I think it's her [laughter] fifth or

1:29:49

sixth round of IVF treatments, and she

1:29:51

just found out just before she walked

1:29:52

into the studio that it hadn't gone

1:29:54

well.

1:29:55

And watching her cry

1:29:56

about it and get very emotional meant

1:29:58

that that that day I walked out of this

1:30:00

room and like called a lot of the people

1:30:01

in my life that I know are

1:30:03

you know, in the region where fertility

1:30:05

starts to decline, and really encourage

1:30:08

them to start thinking if they if that's

1:30:10

what they want in their lives about

1:30:11

family planning, which is like getting

1:30:13

your eggs frozen or your embryos frozen.

1:30:15

And me and my partner actually went and

1:30:16

did it. We got our embryos frozen, which

1:30:19

was a you know, it's it's not it's it's

1:30:20

both expensive, extremely expensive,

1:30:23

especially here in the United States,

1:30:25

and difficult.

1:30:26

>> And psychologically destructive. Brutal.

1:30:28

>> You know, we you know, me every day for

1:30:32

a couple of weeks injecting her with

1:30:33

with this this these chemicals and the

1:30:36

the hormonal roller coaster that she had

1:30:38

to deal with and all of that, but for us

1:30:42

the alternative was worse,

1:30:44

which was never being able to have

1:30:45

children because it's difficult and

1:30:47

there's all these toxins in our

1:30:48

environment and and so on and so forth.

1:30:51

And so I then became a little bit of a I

1:30:52

guess a bit of a bit preachy within my

1:30:54

within the people the people in my life

1:30:55

that I love a lot about family planning

1:30:58

cuz we kind of all thought we could just

1:30:59

think about it later.

1:31:01

We're all kind of 35 and we thought,

1:31:02

"Yeah, we'll think about that later."

1:31:04

Um but it turns out not to be the case

1:31:06

for many people.

1:31:07

>> If you'll allow me to go back, you asked

1:31:09

an important question. What do we have

1:31:11

to do? And I said we have to detoxify

1:31:13

the system and then we both got off into

1:31:15

this frenzy of of attacking chemicals,

1:31:19

which we should anyway, but it's

1:31:20

intellectually easy. Ban the suckers,

1:31:23

okay? Now, putting pressure on the

1:31:25

corporations to back off so the

1:31:27

governments can do it would be a good

1:31:30

idea, not easy. Corporations have

1:31:32

enormous power, unprecedented power in

1:31:34

the US,

1:31:35

but but very substantial power in the in

1:31:38

the EU and the UK also. But we have to

1:31:41

get them to back off. We have to start

1:31:43

banning these damn things, otherwise no

1:31:46

children. But secondly,

1:31:48

and much more difficult,

1:31:50

is we have to detoxify capitalism.

1:31:53

We have to slowly but surely

1:31:56

turn our capitalist societal norms into

1:32:00

much more family-friendly,

1:32:02

children-friendly.

1:32:04

Over the next several generations,

1:32:06

we have to end up with a society that

1:32:09

realizes that 2.1 healthy, well-educated

1:32:13

children is a part of the commons. You

1:32:15

may not have any children.

1:32:16

>> you mean by that, sorry? 2.1?

1:32:18

>> 2.1 is the number of children it takes

1:32:20

for a rich society to have a steady

1:32:23

population.

1:32:24

>> Per couple?

1:32:25

>> Per couple. If you have less than 2.1

1:32:27

per couple,

1:32:29

you fairly rapidly go out of business.

1:32:30

If you have more than 2.1, you fairly

1:32:33

rapidly end up with so many people

1:32:35

you're standing on each other's

1:32:37

shoulder. The commons are things like

1:32:39

common land in the old days that anyone

1:32:43

could put their sheep on. And what

1:32:44

tended to happen is everyone put more

1:32:46

sheep than they could stand, and they

1:32:48

pretty soon it was

1:32:49

it had no grass on it. Known as the

1:32:51

tragedy of the commons.

1:32:53

And

1:32:55

we all need

1:32:57

clean air,

1:32:59

clean water,

1:33:01

fertile soil,

1:33:03

and 2.1 healthy, well-educated children.

1:33:06

Without any of those, society fails.

1:33:09

All of them have to be treated as group

1:33:12

responsibility. So, the whole society,

1:33:15

the whole village

1:33:17

has to be in a way like a kibbutz

1:33:19

eventually. You have to put everything

1:33:21

behind making it doable

1:33:24

to have children because the long list

1:33:26

of economic and social reasons, as well

1:33:29

as toxin reasons, why people can't have

1:33:32

2.1 children is getting so long and so

1:33:34

dangerous. And nothing yet has worked. I

1:33:38

mean, they've tried, you tell me, 200

1:33:40

different things around the world.

1:33:42

Several percentage points of GDP in one

1:33:44

or two cases.

1:33:46

And nothing yet has

1:33:49

seemed seen a permanent uptick in in

1:33:53

baby production.

1:33:54

>> For the average person listening right

1:33:56

now, Dave who drives a taxi or Jenny who

1:33:58

works as a receptionist or um Clive who

1:34:01

is a nurse,

1:34:03

what is the most important thing we

1:34:05

haven't talked about that we should have

1:34:06

talked about as it pertains to their

1:34:08

life today?

1:34:10

>> I think they have to brace themselves

1:34:13

for a tougher times ahead

1:34:15

than they would have they expected.

1:34:18

And they're beginning to get the point.

1:34:20

Life for the last 10 or 20 years has

1:34:22

been tougher than than they perhaps

1:34:25

expected as children or or than other

1:34:27

people expected for them.

1:34:29

Part of that is politics. Part of that

1:34:33

is equality. But the net effect of them

1:34:35

is times are tougher. It is more

1:34:39

difficult

1:34:40

to buy a house or afford to rent.

1:34:43

And and jobs are getting scarcer.

1:34:47

It's likely to get worse.

1:34:49

>> What does brace yourself mean for them?

1:34:51

Cuz brace yourself sounds like you

1:34:54

But does it mean

1:34:55

>> Plan your life as if times will not be

1:34:57

easy.

1:34:58

>> Okay.

1:34:59

>> And do not

1:35:00

build up a little reserve of of cash.

1:35:03

Of course my advice to

1:35:06

other people is and and get yourself a

1:35:09

useful job. Something that will in a

1:35:12

larger sense pull your weight in

1:35:14

society.

1:35:15

>> Upskill, change skills, learn something

1:35:18

>> mechanical

1:35:19

fixing, repairing

1:35:21

>> Things that

1:35:21

>> engineering

1:35:22

>> Things that will need humans.

1:35:23

>> And and research, science in general.

1:35:25

>> Make friends.

1:35:27

>> Make friends.

1:35:28

Make sure you're living in in a a tight

1:35:31

society if you can. Very difficult

1:35:33

today, obviously.

1:35:34

>> Would you be thinking about the country

1:35:36

you live in at this moment in time?

1:35:37

>> Absolutely.

1:35:38

>> Really? Is there any countries you

1:35:39

wouldn't live in?

1:35:41

>> [sighs and gasps]

1:35:42

>> If you were Dave or Jenny?

1:35:43

>> I I think I have to refuse to answer

1:35:46

this on the grounds that it might tend

1:35:47

to incriminate me.

1:35:48

Um

1:35:49

>> Oh, okay. So you're saying don't live in

1:35:50

the United States?

1:35:52

>> Well, I have

1:35:53

American children and grandchildren.

1:35:56

>> Why not the United States?

1:35:57

>> It holds out too much chance that the

1:36:00

social contract is

1:36:01

is

1:36:02

>> [snorts]

1:36:02

>> dissolving.

1:36:04

You know, the thing about Japan and that

1:36:06

my joking rule 21 in investing is never

1:36:08

extrapolate from the Japanese. They are

1:36:10

extremely different in every way.

1:36:13

But one of the ways they're different is

1:36:14

they have this amazing social contract.

1:36:17

The thing that really upsets the

1:36:19

Japanese is if they're put in a position

1:36:21

where they can't act in a socially

1:36:23

responsible way.

1:36:24

>> When you say social contract, what does

1:36:26

that mean?

1:36:26

>> It means an agreement that I will behave

1:36:29

in a way that helps my neighbors and the

1:36:31

society that I'm doing what people

1:36:33

expect me to do. I'm not going to

1:36:35

misbehave.

1:36:36

>> And you think that's not the case here

1:36:37

in the United States?

1:36:38

>> I think the case here is that people are

1:36:40

doing what they think is best for them

1:36:42

and their family and screw everybody

1:36:44

else, really.

1:36:46

When I arrived in America, corporations

1:36:47

had this sense that they owed something

1:36:50

to the community they operated in, the

1:36:52

city they operated in. They They'd build

1:36:55

the stadium, they'd do this, they'd

1:36:57

they'd be part of the community.

1:37:00

Now they're not. They're all

1:37:03

in a way cold-blooded, profit-maximizing

1:37:05

international enterprises.

1:37:07

>> And why is that a bad place to live? Cuz

1:37:09

you're saying, you know, you probably

1:37:10

wouldn't recommend Dave or Jenny living

1:37:12

in the United States. Why would that be

1:37:14

a bad place for them to be? What

1:37:15

happens? What's the What's the

1:37:16

downstream impact of that?

1:37:18

>> That your neighbors aren't as interested

1:37:20

in you and your well-being.

1:37:21

>> Fine. I don't I won't talk to my

1:37:23

neighbor.

1:37:24

>> And that's a lonely place to be. And

1:37:26

when you're in trouble,

1:37:28

you're in

1:37:30

serious trouble.

1:37:31

Uh because the safety net here is very

1:37:34

ineffective. There's a a measure that I

1:37:36

think is probably the single most

1:37:38

important measure of civilization, and

1:37:40

that is maternal mortality. How many

1:37:43

people die in childbirth? You know, in

1:37:45

Nigeria out of 100,000, it's 480, give

1:37:49

or take.

1:37:50

And uh

1:37:52

in America, in in the

1:37:55

black population,

1:37:57

it's uh 44.

1:37:59

In the whole population, it's like 21 or

1:38:03

20.

1:38:04

Curiously, in the

1:38:07

American Asian population, it's 13.

1:38:10

And then, you go down the list,

1:38:13

and in Britain, it's five.

1:38:17

In Germany, it's four.

1:38:19

In Sweden, it's 2.1. In Norway, it's

1:38:22

zero. There were no mothers who died

1:38:24

last year.

1:38:25

>> Hm.

1:38:25

>> Or the year before. What better

1:38:27

definition of civilization than looking

1:38:30

after the mothers giving birth? How is

1:38:32

it possible that a country

1:38:36

more or less the richest in the world,

1:38:39

it's not just that they're the worst in

1:38:41

the rich world, it's that

1:38:44

they are 50% worse than the next worst.

1:38:48

50% more mothers die here than in the

1:38:51

second worst country in the developed

1:38:53

world. How is that possible? The answer

1:38:55

is it happens.

1:38:57

And um it's because

1:39:00

the inequality is so extreme in the

1:39:02

medical system

1:39:04

that if you don't have lots of money,

1:39:05

you're quite likely to die in

1:39:06

childbirth. I mean,

1:39:08

Now, of course, the numbers are not

1:39:09

huge. 20 out of 100,000 is not uh

1:39:13

but it's but it's a terrible contrast.

1:39:15

>> It's a sign of something.

1:39:17

It's a sign of something else as well.

1:39:19

>> It's a sign of whether people are

1:39:21

It's a sign of the social contract.

1:39:22

>> So, where's a good place to live then,

1:39:24

if not here?

1:39:25

>> Denmark, Japan.

1:39:28

Uh even France, Germany. The UK has a

1:39:32

little bit of the American disease, but

1:39:35

not nearly as much.

1:39:36

>> So, if your kids came to you and said,

1:39:38

"Dad, we're thinking of uh leaving the

1:39:39

United States. Should I move?

1:39:41

Should I Should I move out of the United

1:39:43

States?

1:39:44

>> Yeah, I I would say that's a perfectly

1:39:46

reasonable thing to consider.

1:39:49

And where are you going and why and

1:39:51

what's your

1:39:52

>> I'm thinking of going to Denmark, Dad.

1:39:54

>> Well,

1:39:55

if they'll have you. Uh

1:39:57

No, uh

1:39:59

in the things that really matter, life

1:40:01

expectancy, health,

1:40:04

safety nets,

1:40:05

uh murder rates,

1:40:07

uh mortality rates,

1:40:10

and everything that really matters, yes,

1:40:12

they're they're day and night better.

1:40:15

In the things that don't really matter,

1:40:16

but look really splashy,

1:40:18

we have enormous quantities of uh wealth

1:40:21

created

1:40:22

that go to a relatively small fraction

1:40:24

of the people.

1:40:26

And that dazzles in terms of the average

1:40:28

because

1:40:30

um that's how the numbers work.

1:40:33

If you look at how well-off the bottom

1:40:35

quartile are,

1:40:37

America doesn't score well at all.

1:40:40

>> Jeremy, we have a closing tradition

1:40:42

where the last guest leaves a question

1:40:43

for the next guest not knowing who

1:40:44

they're leaving it for. The question

1:40:45

left for you is, if you could not fail,

1:40:49

what would your next goal be

1:40:52

that you would set for yourself?

1:40:55

>> There There was a book written

1:40:57

in the 1960s called Silent Spring.

1:41:01

Carl Carson, I think her name was.

1:41:03

And it changed for a quite a number of

1:41:05

years it it it did what books never do

1:41:08

really it

1:41:10

it uh became a political monster and

1:41:13

everyone studied it and it had an

1:41:15

effect. It changed the game.

1:41:17

I would uh like to write something about

1:41:22

toxicity and and social contract really.

1:41:25

Particularly nurturing a family. We

1:41:27

We've got to find in the end a community

1:41:30

that encourages children. The downside

1:41:33

of the

1:41:34

brutally efficient capitalist system

1:41:36

that we have. It's focus on

1:41:39

financial achievement and so on.

1:41:42

And

1:41:43

very little emphasis on community and

1:41:46

child-rearing and so on. If we don't we

1:41:48

we fail as a society pretty quickly. We

1:41:51

have to detoxify. We have to encourage

1:41:55

to create an environment where people

1:41:57

want to have children.

1:41:59

>> [clears throat]

1:41:59

>> If I could write a book

1:42:01

that would be

1:42:03

would would pull a silent spring, I

1:42:04

would sit down tomorrow and start it.

1:42:07

>> The making of a Parma bear.

1:42:10

>> Parma should be in inverted commas,

1:42:12

really.

1:42:13

>> The perils of long-term investing in a

1:42:15

short-term world.

1:42:19

By Jeremy Grantham and Edward

1:42:21

Chancellor.

1:42:23

Who is this book for?

1:42:24

>> Oh, people who have a interest in the

1:42:26

stock market. It has a little bit of

1:42:28

climate change and toxicity.

1:42:31

My my co-rider is a professional and he

1:42:33

tried to limit me quite sensibly.

1:42:36

Feeling that our main market was

1:42:37

investors who would be turned off by too

1:42:40

much of the stuff we've been talking

1:42:42

about.

1:42:43

>> You cover things also like economics,

1:42:46

value investing, being a bear, and

1:42:47

predicting a bubble, and what to do

1:42:48

about all of those things. But it's

1:42:50

really a useful counterintuitive not

1:42:52

counterintuitive, but it's a it's a

1:42:54

frame of thinking that will help you be

1:42:56

more realistic especially when

1:42:57

psychology is prone to take over and

1:42:59

make you wildly recklessly optimistic.

1:43:02

>> And and be more confident in your

1:43:04

judgment.

1:43:06

Big big companies cannot advise you.

1:43:10

It's just suicidal for their business.

1:43:12

So you are on your own. Look at the

1:43:15

data. A bubble is not hard to see. There

1:43:18

is this kind of plane and then there's a

1:43:20

Himalayan peak

1:43:22

which eventually goes back.

1:43:24

>> And I mean that's exactly what we're

1:43:25

seeing.

1:43:25

>> That's exactly what history looks like.

1:43:29

Have the courage to look at that, make

1:43:31

your own conclusion, get out of the

1:43:33

dangerous most dangerous part,

1:43:36

and and do it now.

1:43:38

Don't wait for help because no help is

1:43:40

coming.

1:43:43

Large enterprises almost never get the

1:43:46

big turning points

1:43:48

because they can't take the career risk

1:43:50

involved.

1:43:51

And every big corporation needs a leader

1:43:53

who has political skills.

1:43:56

And the And the central political skill

1:43:57

in life turns out to be never be wrong

1:44:00

on your own.

1:44:02

This is again Keynes.

1:44:04

You know, you can be wrong in company,

1:44:06

you can jump off the cliff together, you

1:44:08

will never lose your job because of

1:44:09

that.

1:44:11

But if you do anything on your own,

1:44:12

sooner or later you will get it wrong.

1:44:15

And quote, you will not receive much

1:44:17

mercy.

1:44:19

>> Jeremy, thank you so much. Thank you for

1:44:22

all that you do. Um you traverse so many

1:44:23

subjects. It's It's absolutely

1:44:25

fascinating and you You've made me think

1:44:27

about so many things. I've actually

1:44:28

written down a bunch of ideas. You sent

1:44:29

me taking some photos then. Those are

1:44:31

actually ideas that I want to remember.

1:44:33

>> Yeah, that's what I do. Screenshot city.

1:44:35

>> Yeah, so I took I just wrote things down

1:44:37

you were saying and then I was like I

1:44:37

need to remember that later for a bunch

1:44:39

of things, businesses, friends, family,

1:44:41

etc.

1:44:42

Um and I think that's the testament to

1:44:44

how broad and curious and wise you are.

1:44:46

>> Going back to question one or two, the

1:44:49

billionaire bit,

1:44:50

uh sometime around the end of this year

1:44:52

we will actually have written checks for

1:44:54

a billion dollars

1:44:56

to the climate change world.

1:44:58

>> It's It's a wonderful thing and there's

1:44:59

you know this particular moment in time

1:45:01

because of the politics, climate change

1:45:02

is a subject that's falling off the

1:45:03

radar.

1:45:04

>> It is.

1:45:05

>> Uh it's

1:45:06

being mentioned less in earnings calls.

1:45:07

It's

1:45:07

>> But this year will be so disgustingly

1:45:09

hot from now on, I suspect.

1:45:11

>> Disgustingly hot.

1:45:12

>> Hot. We could have from now on the

1:45:14

hottest 12 months from now to this time

1:45:16

next year that we have ever had in

1:45:18

history.

1:45:20

Here, there, and everywhere.

1:45:21

>> Well, I'm glad we've got voices like

1:45:22

yours

1:45:23

um lending their ideas and wisdom to

1:45:25

these conversations and it's been an

1:45:26

honor and a privilege to to you. Your

1:45:28

book, The Making of a Manager, Baron, to

1:45:29

link it below

1:45:31

for everyone to buy it themselves.

1:45:33

Jeremy, thank you. YouTube have this new

1:45:35

crazy algorithm where they know exactly

1:45:37

what video you would like to watch next

1:45:39

based on AI and all of your viewing

1:45:41

behavior. And the algorithm says that

1:45:43

this video is the perfect video for you.

1:45:46

It's different for everybody looking

1:45:47

right now. Check this video out, and I

1:45:49

bet you you might love it.

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