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

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

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3182 segments

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

60:00

rules.

60:01

And to believe that experts

60:04

and authorities know what they're doing.

60:06

And and that as you know, probably, it

60:08

just ain't so.

60:10

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

60:11

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

60:15

want to invest it somewhere that's going

60:16

to

60:17

not lose me money through all of these

60:19

cycles of, you know, boom and bust.

60:22

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

60:24

of people message me and ask me about

60:25

investing because I interview lots of

60:27

people about investing. I have my own

60:28

investment fund as well.

60:30

Um

60:31

But what advice do you give for the

60:32

average person that's looking to invest

60:34

their salary or their wages?

60:36

>> Buy a broad-based index of uh

60:39

non-US equities.

60:40

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

60:42

>> For um like 60% of your money.

60:45

And then 5 or 10% in precious metals and

60:48

uh

60:50

if if it's convenient and sensible, hold

60:53

hold a bit of real estate. And the rest

60:56

I'd put in uh bonds.

60:58

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

61:00

and gold? A preference for either silver

61:02

or gold?

61:04

>> No.

61:05

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

61:07

said non-US.

61:08

>> Non-US.

61:09

>> This is so interesting cuz everybody

61:10

says invest in US stocks.

61:13

>> Of course they do. They've been

61:14

completely dominant for 20 years.

61:17

Completely kicking ass around the rest

61:19

of the world. And then

61:21

in the last 12 months, emerging markets

61:23

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

61:26

better than I would have guessed, but

61:28

it's only 25.

61:30

That's a lot less than 65.

61:32

>> And I guess the strategy is quite

61:34

important here as well, which is you're

61:35

saying to hold these for a long time.

61:37

Try not to buy and sell.

61:39

>> And and try and look at where the cycle

61:41

has been. And I can tell you, and you

61:43

can see it for yourself, there has been

61:45

an enormous cycle in favor of the S&P,

61:48

in favor of the American market over the

61:50

rest of the world. And do you think

61:53

America is going to keep on gaining on

61:55

the rest of the world?

61:56

And of course you're going to say yes

61:57

now, because that's

61:59

that's the flavor of this market. We

62:02

think that what is good today will

62:04

continue being good indefinitely, even

62:06

though history tells you that is

62:08

absolutely not the case.

62:10

We live in a world that tends to rotate

62:12

from one to the other. We believe in a

62:14

world that extrapolates today's

62:16

conditions. And you can easily prove

62:17

that. The stock market is not efficient.

62:19

The stock market extrapolates today's

62:21

conditions. If they are terrible

62:24

in 1982, they will take crushed earnings

62:28

and multiply it by seven times earnings.

62:31

And then, in 2000, peak profit margins

62:35

times, woo, 35 times earnings. They

62:37

double count in the worst way. When

62:40

times are good, you multiply it by a

62:42

lot. That's another way of saying you

62:44

extrapolate it into the distant future.

62:47

>> You assume it's going to continue.

62:48

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

62:50

"Of course that's

62:52

extrapolation is the convention you

62:54

adopt, even though you know from

62:55

personal experience that the world is

62:57

not that way."

62:58

>> You didn't use the word crypto

63:00

when you're talking about investment

63:01

strategies. How much crypto do you own?

63:03

>> None.

63:04

>> Have you ever owned any crypto?

63:06

>> No.

63:07

>> Will you ever own any crypto?

63:08

>> No.

63:08

>> Will you ever advise anyone to buy

63:10

crypto?

63:10

>> No.

63:12

>> Why?

63:14

>> I think it's a

63:16

an unnecessary

63:18

uh

63:19

piece of uh

63:21

nonsense.

63:22

It facilitates nothing except criminals

63:25

moving money

63:26

so they can't be seen.

63:28

It's not a store of value since it

63:30

bounces around all over the place just

63:32

down from 120 to 60

63:34

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

63:36

stable. It's volatile as hell.

63:39

It's not used conveniently as a medium

63:41

of exchange. You can't go into a shop

63:43

and use it easily.

63:45

It does one thing

63:46

very, very well.

63:48

It's a means of speculating beautifully.

63:52

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

63:53

zero?

63:54

>> Well,

63:55

in the distant future, yes, it will

63:56

certainly go to zero, but it may take a

63:58

long time.

64:00

And and, you know, in the distant

64:02

future, everything goes to zero, so

64:05

>> What about property as an investment?

64:07

Because the first sort of reaction most

64:08

people have when they have enough money

64:10

to make an investment or to buy

64:12

something is they buy a property as an

64:14

investment asset. So, people go buy

64:16

themselves a house, they'll move into

64:17

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

64:18

you start to accumulate wealth is you go

64:20

buy yourself a house.

64:22

What do you think of that?

64:23

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

64:25

good decision

64:27

when uh there's such an increasing

64:28

fraction of people

64:30

who can't afford it.

64:32

And there is a political resistance, you

64:34

know.

64:34

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

64:35

know, if I buy one now and increasingly

64:38

people can't afford one, doesn't that

64:39

mean that my my house is going to be

64:41

worth more in 10 years' time?

64:43

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

64:44

no one bidding.

64:46

And by the way, the population is going

64:48

to decline.

64:50

Young family formations are already

64:52

declining in

64:54

many of the richer countries.

64:56

And if you have family formations

64:58

declining and you have super expensive

65:01

houses, what do you think is going to

65:03

happen? Now, you could say, "Well,

65:04

perhaps there will be a mysterious

65:06

increase in family formations."

65:08

And that the chronic baby bust that we

65:11

maybe will talk about soon. Um, we'll

65:14

stop.

65:18

I don't speak Vietnamese, but this show

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66:14

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

66:18

See you there.

66:19

This is something that I've made for

66:21

you. I've realized that the Diary of a

66:22

CEO audience are strivers, whether it's

66:24

in business or health. We all have big

66:26

goals that we want to accomplish. And

66:28

one of the things I've learned is that

66:30

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

66:32

it can feel incredibly psychologically

66:36

uncomfortable because it's kind of like

66:37

being stood at the foot of Mount Everest

66:39

and looking upwards. The way to

66:40

accomplish your goals is by breaking

66:42

them down into tiny, small steps, and we

66:45

call this in our team the 1%. And

66:47

actually, this philosophy is highly

66:49

responsible for much of our success

66:51

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

66:53

home can accomplish any big goal that

66:55

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

66:58

and we released these last year, and

67:00

they all sold out. So, I asked my team

67:02

over and over again to bring the diaries

67:04

back, but also to introduce some new

67:05

colors and to make some minor tweaks to

67:07

the diary. So, now we have a better

67:10

range for you. So, if you have a big

67:13

goal in mind and you need a framework

67:15

and a process and some motivation, then

67:17

I highly recommend you get one of these

67:19

diaries before they all sell out once

67:21

again. And you can get yours at the

67:23

diary.com.

67:25

And if you want the link, the link is in

67:26

the description below.

67:27

Let's talk about the chronic baby bust.

67:31

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

67:32

think there were some articles that

67:33

actually came out this week in the New

67:34

York Times that talked about the

67:36

declining fertility rates and how young

67:38

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

67:41

I'm engaged to a young woman who

67:44

and me and me and her are trying to have

67:45

a child now.

67:47

Um it's not not always a straight line

67:50

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

67:51

kind of sold the idea that it is, that

67:52

you just have sex without a condom and

67:54

then a baby appears, but um lots of

67:56

young families and lots of my friends

67:58

who are trying to have kids have gone

67:59

for a couple of years

68:01

trying and struggling to con- to

68:03

conceive. So much so that after doing

68:05

this podcast, I started telling some of

68:08

my friends that I actually think it's a

68:09

good idea to start freezing your eggs,

68:11

embryos, sperm.

68:13

Because if it is going to get

68:14

increasingly harder, then there might

68:16

need to be

68:17

um medical interventions, IVF,

68:20

um etc.

68:22

for me and my friends.

68:23

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

68:25

have families. But the the problem is as

68:26

well at like 33 years old, um if you

68:29

look at the data, you're not at your

68:30

peak necessarily in terms of fertility.

68:32

You're somewhere you're coming down the

68:34

slope as a man. Um and but also as a

68:37

woman.

68:38

And so, you're kind of fighting time a

68:39

little bit it feels like.

68:41

>> Yeah, you are.

68:41

>> And I think my partner feels the same

68:43

way that we wish we were told a little

68:44

bit earlier about family planning.

68:46

And then I hear that about this fert-

68:48

these fertility issues that apparently

68:49

have been caused by toxins

68:52

and that sort of chemicals in our

68:53

environment. You have spent a long time

68:56

thinking, writing, talking about this.

68:58

>> Yes.

68:58

>> I guess the first question is why? Why

69:00

is a guy that's known for managing

69:01

billions and billions and billions of

69:03

hundreds of billions of dollars talking

69:04

about fertility?

69:07

And this sort of baby bust.

69:09

>> Well,

69:10

starting

69:12

27 years ago with the

69:14

foundation, we were committed to start

69:17

thinking about everything to do with the

69:19

climate. And and you're moving in the

69:22

right circle then, because the next

69:24

thing is we started to worry about the

69:26

cataclysmic decline in insects. I don't

69:28

know if you're aware of this, but

69:30

insects appear to have dropped in

69:31

biomass, the weight of the flying

69:33

insects, by 50 to 75%.

69:36

>> Really?

69:37

>> In the last 60, 70 years.

69:40

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

69:43

believed that you know, nature could

69:45

handle

69:46

the loss of humans easily, effortlessly,

69:49

but it could not handle the loss of of

69:51

insects. That insects are in in the

69:53

sense, he felt,

69:55

and and his fellow experts, he

69:57

represented them as thinking the same

69:58

way, that they Insects are the bedrock

70:01

of nature.

70:02

And if they start to go out of business,

70:04

then the

70:05

birds who feed on on them and the

70:07

amphibians, they start to decline, which

70:09

they have done also catastrophically.

70:12

One thing leads to another, and the

70:15

beetles are no longer

70:16

recycling the forest floor, and

70:19

eventually things won't grow, and

70:22

no one to uh

70:24

fertilize the plants, and the damage

70:26

spreads, and he felt that eventually

70:28

loss of insects would lead to a more or

70:30

less complete failure of nature.

70:33

And and

70:34

we would inherit a planet that was no

70:36

longer conducive to humans.

70:38

We noticed that some of the same effects

70:41

are felt uh by humans.

70:44

And uh a report came out,

70:47

Shanna Swan and Hagai Levine,

70:50

I think it finished in 2011,

70:52

and uh it made the case

70:54

that uh sperm count had been dropping

70:57

had almost halved since the first

71:00

reports academic reports in 1970.

71:03

So, I immediately said this has the

71:05

feeling of something that is really

71:07

important.

71:08

We got to study the data and the results

71:11

came out suggesting that the decline

71:13

rate was accelerating. The decline rate

71:15

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

71:17

don't have to be mathematically that

71:19

literate to realize that a 2 and 1/2%

71:21

decline in your sperm count every year

71:24

is a disastrous level, a non-sustainable

71:27

level, right?

71:28

>> How long is that going to take for this

71:30

my sperm to basically not work?

71:31

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

71:35

is

71:36

that in hunter-gatherer days we had 118

71:39

million units per milliliter of sperm.

71:42

And when the academics came in in 1970,

71:45

uh

71:46

it was down to about 100.

71:49

And today it's 35.

71:51

Okay?

71:52

Also, the quality

71:54

and the mo- motility they call it had

71:57

also declined

71:59

somewhat similarly.

72:01

It turns out, luckily for us, that we

72:03

were over-engineered at I like to say

72:05

like a great Victorian bridge.

72:08

Nature doesn't take any risks and and

72:11

you have more than you need. And it it

72:13

appears, again, a good guess is about 45

72:16

million units

72:18

is what you need to be able to get

72:20

pregnant without any difficulty. And

72:22

that was hit about 15 to 20 years ago.

72:25

The number of young couples who needed

72:27

help 15 or 20 years ago

72:30

uh was nil, basically.

72:32

And for this reason, that none of them

72:35

had a a chronic lack of sperm count in

72:38

round numbers.

72:40

And now

72:42

the World Health says it's about

72:45

17%.

72:46

Okay? 17% of young couples could use

72:48

some help today.

72:50

It which means that instead of, you

72:52

know, just trying for a week or two or

72:54

three or four or five or six you're

72:56

trying for months and months.

72:58

And

72:59

everybody knows people now who fall in

73:02

that category. Which is exactly what you

73:04

would expect if you've gone from zero to

73:06

17%.

73:07

But this is the killer. Shanna Swan

73:10

and my colleague and I kind of thought

73:12

about this thing separately and

73:13

independently and we

73:15

we worked out doesn't take a great brain

73:19

that in 20 to 25 years the young couple

73:22

will need help. I mean this is tomorrow.

73:25

You know this is not 200 years from now.

73:27

In 20 to 25 years the average young

73:30

couple will need help getting pregnant.

73:32

>> Dr. Swan's projection indicates that if

73:35

the current rate of decline continues

73:37

unchecked the medium male sperm count is

73:41

on track to hit zero

73:43

by 2045.

73:46

>> Wow, yeah.

73:49

>> [laughter]

73:50

>> That is

73:51

that means the medium couple is not

73:53

going to have children without a lot of

73:55

help.

73:56

>> It means half the male population will

73:59

have zero viable sperm and the remaining

74:02

half will be right on the edge of

74:05

functional infertility.

74:06

>> A few of them will still have plenty and

74:09

maybe 10% who are really perfectly

74:12

in decent condition.

74:13

Because there's a huge distribution

74:15

range today.

74:17

You know there are there are people

74:18

today who still have 200 million you

74:20

know better than the hunter-gatherers.

74:22

But it's uh

74:25

>> And what is causing this and how do we

74:27

stop it?

74:28

>> Shanna would say the environment around

74:31

you

74:32

of mainly plastics.

74:33

Plastics are leaching

74:36

uh toxins and the particles of plastics

74:38

you have in your brain and in your body

74:42

which we now know is quite substantial

74:44

are also leaching toxins.

74:48

And these toxins are what they call

74:50

endocrine disruptors. They mess with

74:51

your hormones.

74:54

You should expect them to lower your

74:56

fertility.

74:57

And yet, the people who specialize

75:00

in fertility problems

75:02

and write books about it, none of them

75:05

mention toxicity.

75:06

They mention the hundred perfectly solid

75:08

reasons why people are choosing

75:11

uh to have fewer children.

75:12

>> Endocrine disrupting chemicals like

75:14

phthalates,

75:16

>> Like phthalates.

75:17

>> which are found in cosmetics, shampoos,

75:18

food packaging, etc. They actively lower

75:21

testosterone production in male fetuses

75:22

during the first trimester, permanently

75:24

stunting reproductive reproductive

75:26

capacity before birth.

75:29

>> Yes.

75:29

>> BPAs, which are um what they call the

75:32

biphosphonates?

75:34

>> Yes. Something like that.

75:35

>> Used to make plastics hard, line tin

75:38

cans, and coat thermal store receipts.

75:41

Um they are synthetic estrogens. They

75:42

flood the male body with female hormones

75:44

and signals crashing sperm count and

75:46

motility.

75:47

PFAs, forever chemicals used in nonstick

75:50

pans, teflons, waterproof rain jackets,

75:52

and stain resisting carpets. They break

75:55

down in nature, accumulate in human

75:57

blood, and are directly linked to lower

75:58

sperm volume. And then the microplastics

76:00

you talked about, the chosen chose

76:02

Trojan horse. One of the shocking things

76:04

that I read was that it's been

76:05

discovered that they are physically

76:06

embedded in human placentas.

76:08

>> Yes. Isn't that amazing?

76:10

>> Breast milk and human testicles. And

76:12

there was a major study, I think we all

76:13

heard about in 2024, that found

76:15

microplastics in 100% of human

76:19

testicular tissues tested.

76:22

100%. And lastly, biological stresses.

76:24

So, me and you being sat down on these

76:26

chairs,

76:27

heats our testicles to a point where the

76:29

sperms die. Heated car seats, hot

76:31

laptops, they actively cook the sperm.

76:35

And lastly, obesity.

76:37

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

76:39

somehow slipped through the net.

76:41

>> Yeah.

76:41

>> But um

76:42

there is a whole other branch,

76:44

pesticides on your food. Now, if you

76:46

give me time, I'll tell you about these

76:48

two little studies.

76:50

They're very small, and you might ignore

76:52

them except they were done by Harvard

76:54

and Mass General, which is candidate for

76:56

the best hospital in America.

76:59

And, uh they had a clinic for people

77:02

having problem getting pregnant.

77:04

And, uh they they ran it out of that.

77:07

They had 180 men.

77:09

And, they got them to self-report on

77:11

what they were eating. Were they eating

77:12

the dirty dozen? Were they eating melons

77:15

and bananas that have lots of

77:17

protection?

77:18

At the end of uh 6 months,

77:22

the the guys who reported to eat the

77:24

least bad

77:25

versus the quarter that ate the worst,

77:28

there was a doubling of sperm count. Can

77:30

you believe it? At the top category, the

77:32

more fruit and veggies you ate, the

77:34

better your sperm count. In the bottom

77:36

quartile, the more they ate, the worse

77:38

their sperm count.

77:39

It was a dramatic result, but two to one

77:42

between the top and the bottom. And,

77:44

then 2 years later, they did a very

77:45

similar study with women who were having

77:47

trouble.

77:49

And, at the end of their 9 months of

77:51

self-reporting, the ones who ate the

77:53

least badly had 68% successful live

77:56

births, bearing in mind this was a

77:58

fertility clinic, and the bottom

78:00

quartile 38%. So, once again, nearly

78:03

double.

78:04

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

78:06

mean, these are really important. And,

78:07

this was only based on what they ate.

78:11

Because pesticides are full of these

78:14

toxins, and they are delivered straight

78:17

into your body. You eat the damn things.

78:19

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

78:21

You can wash some of that away, but

78:22

they're impregnated part of the

78:24

structure of the berry.

78:27

Berries,

78:28

apples, pears, peaches,

78:31

and finally,

78:32

um uh spinach uh are really bad and are

78:34

the top end. The bananas and the

78:36

oranges, and the melons are uh fine. So,

78:40

if you eat these damn things that

78:42

designed to kill our cousins, the

78:44

insects, and and the weeds,

78:47

and the funguses, why would you expect

78:49

them not to do a terrible job on humans?

78:51

And we stuff them in our system.

78:54

And the fetus, it turns out, is 100 to

78:57

1,000 times more vulnerable

79:00

than we are out in the out in the world.

79:03

For example, if your mother smokes,

79:05

it's going to do about the same damage

79:08

as if you smoked for the rest of your

79:09

life.

79:10

>> Hm. Wow.

79:12

>> And you think about what the fetus is

79:13

plugged into the system, and how it's

79:16

forming everything. It doesn't seem the

79:18

most unreasonable thing that it would be

79:19

much more sensitive. And there are

79:21

people out there

79:23

fussing quite reasonably about the first

79:25

1,000 days of life.

79:27

But actually, that is nothing like as

79:30

important

79:32

as the 270 days in the womb.

79:35

>> Atrazine.

79:37

Have you heard of atrazine?

79:38

>> have.

79:38

>> Atrazine, um referred to as the chemical

79:41

castrator. It is the second most widely

79:43

used herbicide in the United States,

79:45

sprayed heavily on things like corn and

79:47

sugar canes.

79:48

And there was this crazy study which was

79:50

peer-reviewed out of UC Berkeley that

79:53

showed exposure to atrazine at levels

79:56

below the EPA's considered safe for

79:59

drinking

80:01

um levels, completely chemically

80:03

castrated male frogs, turning 10% of

80:07

them into fully functional females

80:10

capable of laying eggs. In humans, it is

80:13

linked to severe drops in sperm motility

80:15

and testosterone.

80:16

>> And yet, we avoid the topic.

80:19

We avoid the topic because it's

80:21

it's pessimistic. We're not fighting the

80:23

data.

80:24

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

80:26

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

80:27

talk about bear markets.

80:29

We don't want to talk

80:31

about bad climate changes, even though

80:34

it's bludgeoning us. This year could be

80:36

the worst

80:38

hot year

80:40

in history.

80:41

We are set up

80:43

because of the accident of the El Niño

80:46

to have perhaps the worst droughts and

80:48

the hottest weather ever recorded,

80:51

starting about now.

80:53

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

80:54

to talk about that. We don't want to

80:56

talk about toxicity. We don't want to

80:58

talk about running out of resources. Oh,

81:00

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

81:03

never seen anything like this, this

81:05

fertility thing, where the data is

81:07

horrific. The baby bust is measurable.

81:11

The sperm count is one of the few things

81:13

you can really measure. Do they really

81:15

think if you have declining sperm count,

81:17

the future is great?

81:19

Do they really think that the economy

81:20

will function

81:22

if the number of 20-year-olds entering

81:24

the market starts to drop like a stone?

81:26

In Japan, you know what their

81:27

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

81:31

in 1948.

81:32

>> What is 50%?

81:32

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

81:37

>> 50% less 20-year-olds?

81:39

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

81:41

offer themselves for military service.

81:43

>> What do we do about this?

81:44

>> We have two things.

81:46

We've got to

81:47

detoxify the world, which is

81:50

intellectually easy. You ban poisonous

81:53

chemicals.

81:54

And we've made in the EU

81:57

pretty good start.

81:58

My favorite example and everybody's

82:00

favorite example is cosmetics.

82:02

Cosmetics, you don't actually eat it,

82:04

but you rub it on your skin, which is

82:05

the second worst thing to do.

82:08

And there are 10,000 chemicals in

82:10

cosmetics.

82:12

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

82:14

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

82:17

the battle, right? Canada's banned 550.

82:20

And the US has banned 12. I am not

82:23

kidding you.

82:24

So, The thing about toxicity is it is

82:27

regional. If one country if Denmark or

82:30

the EU or the UK wants to look after its

82:32

chemicals, they will live longer and

82:34

have better health. If the US wants to

82:37

put the corporations first, they will

82:39

have shorter lives. Do you know the life

82:41

expectancy difference between the US and

82:44

Sweden has gone from 2 years to 6 years

82:46

in the last 70 years?

82:48

I wrote in my quarterly letter my estate

82:50

would be willing to bet you that in 50

82:52

years it'll be 8 or 10.

82:54

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

82:55

States realize the difference in the

82:59

products they consume here versus other

83:01

parts of the world. And you know,

83:03

>> No, absolutely not.

83:04

>> Brits fly over here and actually we had

83:06

my my barber my my barber Damon and he

83:08

flew over here to give me a haircut last

83:09

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

83:11

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

83:12

food here and I really just don't feel

83:14

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

83:15

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

83:16

my team we used to fly over here before

83:18

I moved here for a couple of weeks a

83:19

year to film the show and whenever we'd

83:21

fly back not only would I be much

83:22

fatter, um but we'd all feel a little

83:24

bit more like sluggish, is the way I'd

83:26

describe it, from eating the food here.

83:28

And it almost felt quite clear that

83:29

there's like something in the food that

83:31

our bodies

83:32

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

83:34

you look at the toxicity of the United

83:37

States versus Europe, it's quite clear.

83:40

I mean, the US currently permits the use

83:41

of 85 agricultural pesticides that are

83:44

completely banned in the EU, China and

83:47

Brazil. The US sprays over 300 million

83:51

pounds per year of pesticides that are

83:53

deemed too dangerous to be legally used

83:55

in Europe, including that one I said

83:58

about the frog's called atrazine.

84:00

>> atrazine

84:01

>> Which the EU banned over two decades

84:03

ago. We look at cosmetics, which you

84:05

were talking about then, what you put on

84:07

your skin obviously goes into your

84:08

bloodstream and so the EU has banned or

84:10

heavily restricted over 1,300 chemicals

84:13

in cosmetics and personal care products

84:15

due to toxicity and hormone disruption.

84:18

The US and the FDA has banned 11. In

84:21

terms of food, the US allows potassium

84:23

bromate, which is a known carcinogen,

84:26

cancer-causing, used to make fluffy

84:28

dough bread, and BHA

84:31

{um} / BHT, which are preservatives

84:33

linked to hormone disruption. Both are

84:35

strictly banned from human consumption

84:37

in the UK and EU and Canada and China.

84:39

And lastly, the US {um} allows titanium

84:43

dioxide, used to make candy smell like

84:45

Skittles bright white,

84:47

and synthetic dyes like red 40, which

84:49

require strict warning labels or

84:52

outright bans in Europe due to DNA

84:54

damage and neurodevelopmental issues in

84:57

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

84:59

US Geological Survey found that at least

85:02

45% of all US tap water is contaminated

85:06

with PFAs, those forever chemicals we

85:08

talked about earlier, the very chemicals

85:10

directly linked to crashing sperm counts

85:12

and testicular cancer. The US has

85:14

historically allowed PFAs levels in

85:17

drinking water

85:19

drastically higher than the EU, the

85:21

United the European Union

85:23

considers safe.

85:24

>> Let us just say that the EU is forever

85:27

giving exemptions and extensions and is

85:30

far from perfect and has a lot of

85:32

corporate pushback. And uh it's just

85:34

much less bad than the US.

85:37

>> And the US has worse life expectancy.

85:39

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

85:41

in the world where 15 years ago they had

85:44

the same life expectancy as they have

85:45

today.

85:46

>> One um actionable piece of advice for

85:48

anyone listening that might find this

85:50

all quite um

85:52

overwhelming cuz you know, lots of

85:54

things around us from receipts to the

85:56

pans we use to

85:57

range jackets contain these chemicals,

86:00

is there are apps out there

86:02

where you can scan the chemicals in the

86:05

foods that you're buying to check if

86:07

they contain these endocrine disrupting

86:09

these hormone disrupting chemicals. I'm

86:11

not affiliated [clears throat] with any

86:12

of them, but there's one called Yuka,

86:14

YUKA, that I know is very easy for sort

86:17

of everyday scanning of products. You

86:18

can just scan the barcode and it'll tell

86:20

you it'll give it a rating score out of

86:21

100. There's EWG's Healthy Living

86:25

um app which is the scientific gold

86:26

standard run by the Environmental

86:28

Working Group a major toxic chemical

86:30

watchdog. You can scan barcodes or

86:31

search for food, cleaning supplies or

86:33

cosmetics. There's Think Dirty as well

86:35

which is great for cosmetic shampoos and

86:37

skin care. It exposes the toxic truth

86:39

hiding in beauty products. Um and then

86:41

there's Clear Ya which is Clear Ya. Best

86:44

for online shopping. It's an app in your

86:46

web browser and instead of scanning

86:48

barcodes in your house

86:50

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

86:51

you add a say like a shampoo or lotion

86:53

to your Amazon or Target or Walmart

86:54

basket, it automatically pops up with an

86:57

alert telling you about the ingredients

86:59

list that is within those chemicals. But

87:01

but I think that gives something a

87:03

little bit actual and arms you with at

87:05

least a tool to navigate this crazy

87:06

environment. And obviously AI is great

87:07

at this as well. You can take pictures

87:08

of things and ask it questions.

87:10

>> And what we really need is a kind of

87:11

green Amazon where everything is

87:13

guaranteed food, bed, clothes,

87:16

everything.

87:18

And that would be very handy indeed.

87:20

Someone you could trust that would

87:22

absolutely guarantee the whole line of

87:24

products that you would order. Not

87:26

impossible and I think done well and

87:28

someone could make money at it.

87:30

>> What would advice would you give to your

87:31

kids on a personal level if they're

87:32

trying to stay healthy in a toxic world?

87:35

>> Simple advice and I know you like this

87:38

is pregnant women are much more

87:40

important than anybody else in this

87:42

field.

87:43

If you could persuade pregnant women A

87:46

to have no cosmetics, save a lot of

87:47

money, no cosmetics for 9 months and

87:50

then B invest some of that money from

87:52

your cosmetics or all of it in buying

87:55

organic berries if you have to have

87:58

berries, apples, oranges, peaches

88:01

what they call the dirty dozen here.

88:03

If you did that

88:05

I think as much as half of all the

88:07

trouble disappears.

88:09

And that's a huge fraction and it's

88:11

easily acquired.

88:13

You know, I I I addressing the 100

88:15

things around in your environment, you

88:17

have to get to that.

88:19

Typically, if you're lucky, you do one

88:21

thing after another. You get the gas

88:22

stove first, which is really noxious,

88:25

and then you work your way the black

88:27

plastics, the Teflon frying pan. You

88:30

work your way around it. Compared to

88:32

that,

88:33

no cosmetics, no bad food,

88:38

or make it organic. That's a piece of

88:41

cake. That is easy. It will save you

88:44

huge amount that you will never

88:45

appreciate because you'll never know how

88:47

much better your children are than they

88:49

would have been.

88:50

>> Mhm.

88:51

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

88:53

way.

88:54

For women, you know, you're talking

88:56

about in particular because of the eggs,

88:59

they are Every egg is all there in the

89:01

womb.

89:03

And then it goes on to your

89:04

grandchildren, we thought. At least we

89:07

could prove two generations. And and and

89:09

a recent study suggests it might be many

89:11

more generations than two. So, you got

89:15

some of these chemicals

89:16

impregnated in your system, and your

89:18

children pay the price, and your

89:20

grandchildren, and perhaps even

89:23

quite a few generations after that.

89:26

>> I also think it would be great if

89:28

Western governments around the world

89:30

made the costs of

89:32

both child care and but also fertility

89:36

treatments

89:37

significantly lower.

89:39

>> And they will, of course.

89:40

>> You know, I had a couple of

89:41

conversations on this podcast with very

89:43

successful women, including Ronda

89:44

Rousey, who was in tears because she was

89:46

on a

89:48

I think it's her [laughter] fifth or

89:49

sixth round of IVF treatments, and she

89:51

just found out just before she walked

89:52

into the studio that it hadn't gone

89:54

well.

89:55

And watching her cry

89:56

about it and get very emotional meant

89:58

that that that day I walked out of this

90:00

room and like called a lot of the people

90:01

in my life that I know are

90:03

you know, in the region where fertility

90:05

starts to decline, and really encourage

90:08

them to start thinking if they if that's

90:10

what they want in their lives about

90:11

family planning, which is like getting

90:13

your eggs frozen or your embryos frozen.

90:15

And me and my partner actually went and

90:16

did it. We got our embryos frozen, which

90:19

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

90:20

both expensive, extremely expensive,

90:23

especially here in the United States,

90:25

and difficult.

90:26

>> And psychologically destructive. Brutal.

90:28

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

90:32

a couple of weeks injecting her with

90:33

with this this these chemicals and the

90:36

the hormonal roller coaster that she had

90:38

to deal with and all of that, but for us

90:42

the alternative was worse,

90:44

which was never being able to have

90:45

children because it's difficult and

90:47

there's all these toxins in our

90:48

environment and and so on and so forth.

90:51

And so I then became a little bit of a I

90:52

guess a bit of a bit preachy within my

90:54

within the people the people in my life

90:55

that I love a lot about family planning

90:58

cuz we kind of all thought we could just

90:59

think about it later.

91:01

We're all kind of 35 and we thought,

91:02

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

91:04

Um but it turns out not to be the case

91:06

for many people.

91:07

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

91:09

an important question. What do we have

91:11

to do? And I said we have to detoxify

91:13

the system and then we both got off into

91:15

this frenzy of of attacking chemicals,

91:19

which we should anyway, but it's

91:20

intellectually easy. Ban the suckers,

91:23

okay? Now, putting pressure on the

91:25

corporations to back off so the

91:27

governments can do it would be a good

91:30

idea, not easy. Corporations have

91:32

enormous power, unprecedented power in

91:34

the US,

91:35

but but very substantial power in the in

91:38

the EU and the UK also. But we have to

91:41

get them to back off. We have to start

91:43

banning these damn things, otherwise no

91:46

children. But secondly,

91:48

and much more difficult,

91:50

is we have to detoxify capitalism.

91:53

We have to slowly but surely

91:56

turn our capitalist societal norms into

92:00

much more family-friendly,

92:02

children-friendly.

92:04

Over the next several generations,

92:06

we have to end up with a society that

92:09

realizes that 2.1 healthy, well-educated

92:13

children is a part of the commons. You

92:15

may not have any children.

92:16

>> you mean by that, sorry? 2.1?

92:18

>> 2.1 is the number of children it takes

92:20

for a rich society to have a steady

92:23

population.

92:24

>> Per couple?

92:25

>> Per couple. If you have less than 2.1

92:27

per couple,

92:29

you fairly rapidly go out of business.

92:30

If you have more than 2.1, you fairly

92:33

rapidly end up with so many people

92:35

you're standing on each other's

92:37

shoulder. The commons are things like

92:39

common land in the old days that anyone

92:43

could put their sheep on. And what

92:44

tended to happen is everyone put more

92:46

sheep than they could stand, and they

92:48

pretty soon it was

92:49

it had no grass on it. Known as the

92:51

tragedy of the commons.

92:53

And

92:55

we all need

92:57

clean air,

92:59

clean water,

93:01

fertile soil,

93:03

and 2.1 healthy, well-educated children.

93:06

Without any of those, society fails.

93:09

All of them have to be treated as group

93:12

responsibility. So, the whole society,

93:15

the whole village

93:17

has to be in a way like a kibbutz

93:19

eventually. You have to put everything

93:21

behind making it doable

93:24

to have children because the long list

93:26

of economic and social reasons, as well

93:29

as toxin reasons, why people can't have

93:32

2.1 children is getting so long and so

93:34

dangerous. And nothing yet has worked. I

93:38

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

93:40

different things around the world.

93:42

Several percentage points of GDP in one

93:44

or two cases.

93:46

And nothing yet has

93:49

seemed seen a permanent uptick in in

93:53

baby production.

93:54

>> For the average person listening right

93:56

now, Dave who drives a taxi or Jenny who

93:58

works as a receptionist or um Clive who

94:01

is a nurse,

94:03

what is the most important thing we

94:05

haven't talked about that we should have

94:06

talked about as it pertains to their

94:08

life today?

94:10

>> I think they have to brace themselves

94:13

for a tougher times ahead

94:15

than they would have they expected.

94:18

And they're beginning to get the point.

94:20

Life for the last 10 or 20 years has

94:22

been tougher than than they perhaps

94:25

expected as children or or than other

94:27

people expected for them.

94:29

Part of that is politics. Part of that

94:33

is equality. But the net effect of them

94:35

is times are tougher. It is more

94:39

difficult

94:40

to buy a house or afford to rent.

94:43

And and jobs are getting scarcer.

94:47

It's likely to get worse.

94:49

>> What does brace yourself mean for them?

94:51

Cuz brace yourself sounds like you

94:54

But does it mean

94:55

>> Plan your life as if times will not be

94:57

easy.

94:58

>> Okay.

94:59

>> And do not

95:00

build up a little reserve of of cash.

95:03

Of course my advice to

95:06

other people is and and get yourself a

95:09

useful job. Something that will in a

95:12

larger sense pull your weight in

95:14

society.

95:15

>> Upskill, change skills, learn something

95:18

>> mechanical

95:19

fixing, repairing

95:21

>> Things that

95:21

>> engineering

95:22

>> Things that will need humans.

95:23

>> And and research, science in general.

95:25

>> Make friends.

95:27

>> Make friends.

95:28

Make sure you're living in in a a tight

95:31

society if you can. Very difficult

95:33

today, obviously.

95:34

>> Would you be thinking about the country

95:36

you live in at this moment in time?

95:37

>> Absolutely.

95:38

>> Really? Is there any countries you

95:39

wouldn't live in?

95:41

>> [sighs and gasps]

95:42

>> If you were Dave or Jenny?

95:43

>> I I think I have to refuse to answer

95:46

this on the grounds that it might tend

95:47

to incriminate me.

95:48

Um

95:49

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

95:50

the United States?

95:52

>> Well, I have

95:53

American children and grandchildren.

95:56

>> Why not the United States?

95:57

>> It holds out too much chance that the

96:00

social contract is

96:01

is

96:02

>> [snorts]

96:02

>> dissolving.

96:04

You know, the thing about Japan and that

96:06

my joking rule 21 in investing is never

96:08

extrapolate from the Japanese. They are

96:10

extremely different in every way.

96:13

But one of the ways they're different is

96:14

they have this amazing social contract.

96:17

The thing that really upsets the

96:19

Japanese is if they're put in a position

96:21

where they can't act in a socially

96:23

responsible way.

96:24

>> When you say social contract, what does

96:26

that mean?

96:26

>> It means an agreement that I will behave

96:29

in a way that helps my neighbors and the

96:31

society that I'm doing what people

96:33

expect me to do. I'm not going to

96:35

misbehave.

96:36

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

96:37

in the United States?

96:38

>> I think the case here is that people are

96:40

doing what they think is best for them

96:42

and their family and screw everybody

96:44

else, really.

96:46

When I arrived in America, corporations

96:47

had this sense that they owed something

96:50

to the community they operated in, the

96:52

city they operated in. They They'd build

96:55

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

96:57

they'd be part of the community.

97:00

Now they're not. They're all

97:03

in a way cold-blooded, profit-maximizing

97:05

international enterprises.

97:07

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

97:09

you're saying, you know, you probably

97:10

wouldn't recommend Dave or Jenny living

97:12

in the United States. Why would that be

97:14

a bad place for them to be? What

97:15

happens? What's the What's the

97:16

downstream impact of that?

97:18

>> That your neighbors aren't as interested

97:20

in you and your well-being.

97:21

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

97:23

neighbor.

97:24

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

97:26

when you're in trouble,

97:28

you're in

97:30

serious trouble.

97:31

Uh because the safety net here is very

97:34

ineffective. There's a a measure that I

97:36

think is probably the single most

97:38

important measure of civilization, and

97:40

that is maternal mortality. How many

97:43

people die in childbirth? You know, in

97:45

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

97:49

or take.

97:50

And uh

97:52

in America, in in the

97:55

black population,

97:57

it's uh 44.

97:59

In the whole population, it's like 21 or

98:03

20.

98:04

Curiously, in the

98:07

American Asian population, it's 13.

98:10

And then, you go down the list,

98:13

and in Britain, it's five.

98:17

In Germany, it's four.

98:19

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

98:22

zero. There were no mothers who died

98:24

last year.

98:25

>> Hm.

98:25

>> Or the year before. What better

98:27

definition of civilization than looking

98:30

after the mothers giving birth? How is

98:32

it possible that a country

98:36

more or less the richest in the world,

98:39

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

98:41

the rich world, it's that

98:44

they are 50% worse than the next worst.

98:48

50% more mothers die here than in the

98:51

second worst country in the developed

98:53

world. How is that possible? The answer

98:55

is it happens.

98:57

And um it's because

99:00

the inequality is so extreme in the

99:02

medical system

99:04

that if you don't have lots of money,

99:05

you're quite likely to die in

99:06

childbirth. I mean,

99:08

Now, of course, the numbers are not

99:09

huge. 20 out of 100,000 is not uh

99:13

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

99:15

>> It's a sign of something.

99:17

It's a sign of something else as well.

99:19

>> It's a sign of whether people are

99:21

It's a sign of the social contract.

99:22

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

99:24

if not here?

99:25

>> Denmark, Japan.

99:28

Uh even France, Germany. The UK has a

99:32

little bit of the American disease, but

99:35

not nearly as much.

99:36

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

99:38

"Dad, we're thinking of uh leaving the

99:39

United States. Should I move?

99:41

Should I Should I move out of the United

99:43

States?

99:44

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

99:46

reasonable thing to consider.

99:49

And where are you going and why and

99:51

what's your

99:52

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

99:54

>> Well,

99:55

if they'll have you. Uh

99:57

No, uh

99:59

in the things that really matter, life

100:01

expectancy, health,

100:04

safety nets,

100:05

uh murder rates,

100:07

uh mortality rates,

100:10

and everything that really matters, yes,

100:12

they're they're day and night better.

100:15

In the things that don't really matter,

100:16

but look really splashy,

100:18

we have enormous quantities of uh wealth

100:21

created

100:22

that go to a relatively small fraction

100:24

of the people.

100:26

And that dazzles in terms of the average

100:28

because

100:30

um that's how the numbers work.

100:33

If you look at how well-off the bottom

100:35

quartile are,

100:37

America doesn't score well at all.

100:40

>> Jeremy, we have a closing tradition

100:42

where the last guest leaves a question

100:43

for the next guest not knowing who

100:44

they're leaving it for. The question

100:45

left for you is, if you could not fail,

100:49

what would your next goal be

100:52

that you would set for yourself?

100:55

>> There There was a book written

100:57

in the 1960s called Silent Spring.

101:01

Carl Carson, I think her name was.

101:03

And it changed for a quite a number of

101:05

years it it it did what books never do

101:08

really it

101:10

it uh became a political monster and

101:13

everyone studied it and it had an

101:15

effect. It changed the game.

101:17

I would uh like to write something about

101:22

toxicity and and social contract really.

101:25

Particularly nurturing a family. We

101:27

We've got to find in the end a community

101:30

that encourages children. The downside

101:33

of the

101:34

brutally efficient capitalist system

101:36

that we have. It's focus on

101:39

financial achievement and so on.

101:42

And

101:43

very little emphasis on community and

101:46

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

101:48

we fail as a society pretty quickly. We

101:51

have to detoxify. We have to encourage

101:55

to create an environment where people

101:57

want to have children.

101:59

>> [clears throat]

101:59

>> If I could write a book

102:01

that would be

102:03

would would pull a silent spring, I

102:04

would sit down tomorrow and start it.

102:07

>> The making of a Parma bear.

102:10

>> Parma should be in inverted commas,

102:12

really.

102:13

>> The perils of long-term investing in a

102:15

short-term world.

102:19

By Jeremy Grantham and Edward

102:21

Chancellor.

102:23

Who is this book for?

102:24

>> Oh, people who have a interest in the

102:26

stock market. It has a little bit of

102:28

climate change and toxicity.

102:31

My my co-rider is a professional and he

102:33

tried to limit me quite sensibly.

102:36

Feeling that our main market was

102:37

investors who would be turned off by too

102:40

much of the stuff we've been talking

102:42

about.

102:43

>> You cover things also like economics,

102:46

value investing, being a bear, and

102:47

predicting a bubble, and what to do

102:48

about all of those things. But it's

102:50

really a useful counterintuitive not

102:52

counterintuitive, but it's a it's a

102:54

frame of thinking that will help you be

102:56

more realistic especially when

102:57

psychology is prone to take over and

102:59

make you wildly recklessly optimistic.

103:02

>> And and be more confident in your

103:04

judgment.

103:06

Big big companies cannot advise you.

103:10

It's just suicidal for their business.

103:12

So you are on your own. Look at the

103:15

data. A bubble is not hard to see. There

103:18

is this kind of plane and then there's a

103:20

Himalayan peak

103:22

which eventually goes back.

103:24

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

103:25

seeing.

103:25

>> That's exactly what history looks like.

103:29

Have the courage to look at that, make

103:31

your own conclusion, get out of the

103:33

dangerous most dangerous part,

103:36

and and do it now.

103:38

Don't wait for help because no help is

103:40

coming.

103:43

Large enterprises almost never get the

103:46

big turning points

103:48

because they can't take the career risk

103:50

involved.

103:51

And every big corporation needs a leader

103:53

who has political skills.

103:56

And the And the central political skill

103:57

in life turns out to be never be wrong

104:00

on your own.

104:02

This is again Keynes.

104:04

You know, you can be wrong in company,

104:06

you can jump off the cliff together, you

104:08

will never lose your job because of

104:09

that.

104:11

But if you do anything on your own,

104:12

sooner or later you will get it wrong.

104:15

And quote, you will not receive much

104:17

mercy.

104:19

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

104:22

all that you do. Um you traverse so many

104:23

subjects. It's It's absolutely

104:25

fascinating and you You've made me think

104:27

about so many things. I've actually

104:28

written down a bunch of ideas. You sent

104:29

me taking some photos then. Those are

104:31

actually ideas that I want to remember.

104:33

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

104:35

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

104:37

you were saying and then I was like I

104:37

need to remember that later for a bunch

104:39

of things, businesses, friends, family,

104:41

etc.

104:42

Um and I think that's the testament to

104:44

how broad and curious and wise you are.

104:46

>> Going back to question one or two, the

104:49

billionaire bit,

104:50

uh sometime around the end of this year

104:52

we will actually have written checks for

104:54

a billion dollars

104:56

to the climate change world.

104:58

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

104:59

you know this particular moment in time

105:01

because of the politics, climate change

105:02

is a subject that's falling off the

105:03

radar.

105:04

>> It is.

105:05

>> Uh it's

105:06

being mentioned less in earnings calls.

105:07

It's

105:07

>> But this year will be so disgustingly

105:09

hot from now on, I suspect.

105:11

>> Disgustingly hot.

105:12

>> Hot. We could have from now on the

105:14

hottest 12 months from now to this time

105:16

next year that we have ever had in

105:18

history.

105:20

Here, there, and everywhere.

105:21

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

105:22

yours

105:23

um lending their ideas and wisdom to

105:25

these conversations and it's been an

105:26

honor and a privilege to to you. Your

105:28

book, The Making of a Manager, Baron, to

105:29

link it below

105:31

for everyone to buy it themselves.

105:33

Jeremy, thank you. YouTube have this new

105:35

crazy algorithm where they know exactly

105:37

what video you would like to watch next

105:39

based on AI and all of your viewing

105:41

behavior. And the algorithm says that

105:43

this video is the perfect video for you.

105:46

It's different for everybody looking

105:47

right now. Check this video out, and I

105:49

bet you you might love it.

Interactive Summary

Jeremy Grantham, a renowned investor with 60 years of experience, discusses his concerns regarding the current economic state, identifying the AI sector as the biggest investment bubble in American history. He warns about the risks of over-investment in tech, suggests diversification, and advises holding assets outside of the US. Furthermore, he explores the societal impacts of AI, potential job disruption, and addresses critical issues like toxicity in our environment, declining sperm counts, and the importance of long-term thinking regarding climate change and the social contract.

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