Full Transcript

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

1:45:531,941 summary words · ~10 min readEnglishBy The Diary Of A CEOTranscribed Jun 30, 2026
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Summary

Jeremy Grantham warns that the US stock market has entered the largest, AI-fueled bubble in history, destined for a brutal 70% correction. Alongside this market instability, he highlights a critical demographic threat: systemic chemical toxicity causing global fertility to collapse toward zero by 2045.

Understanding these twin crises reveals how short-term institutional career incentives blind the market to structural equity bubbles and existential demographic collapses, demanding a radical reassessment of where to deploy capital and build a life.

Section summaries

0:00-2:39

The Core Thesis: Bubbles, US Equities, and SpaceX Hype

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Jeremy Grantham delivers an immediate, counter-consensus warning: sell US technology stocks, avoid US equities entirely, and steer clear of cryptocurrency, which he predicts will go to zero. Drawing on 60 years of investing experience managing up to $165 billion, Grantham asserts that the current AI wave is the largest investment bubble in American history. He cautions that this bubble's collapse will lead to a painful economic period, pointing to high-flying companies like SpaceX as key examples of euphoric, unsustainable valuation peaks. Host Stephen Bartlett introduces the session and requests viewers to check their subscription status to support the independent show.

  • Grantham advises a complete exit from US technology stocks and crypto assets.
  • The current stock surge around artificial intelligence is identified as the largest investment bubble in history.
  • High-flying private company valuations, like SpaceX's asteroid-mining narratives, are classic indicators of a market peak.

Establishes Grantham's core investment warnings and sets the direct, data-driven tone for the entire interview.

2:39-7:57

Understanding the Anatomy of Great Bubbles

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Grantham introduces himself as a long-term abstract thinker who studies human behaviors that others overlook, emphasizing humanity's short-term focus and bias toward optimism. He corrects a common misunderstanding, explaining that great market bubbles are not scams; rather, they form around truly revolutionary ideas like railroads, the internet, and now AI. To illustrate this, he points out that Amazon lost 92% of its stock value when the dot-com bubble burst in 2000, despite ultimately succeeding in dominating retail. He warns that when bubbles break, they lead to deep, painful economic corrections because of the over-allocation of capital.

  • The most destructive bubbles form around genuine, world-changing technologies rather than fraudulent schemes.
  • A technology's long-term utility does not prevent its immediate equity value from crashing up to 90% during market panics.
  • Humanity's structural bias toward optimism leads to systemic double-counting of corporate margins during economic expansions.

Crucial for understanding how revolutionary tech (like generative AI) can still experience extreme near-term stock crashes.

7:57-13:15

GMO History and the Real Pain of Market Crashes

optional

Grantham shares his background, describing how he entered a less-regulated investment world in 1968 and co-founded GMO, pioneering value investing and the small-cap asset class. He notes he has given away over 90% of his personal billion-dollar fortune to his green tech foundation, focusing on fighting climate change. Looking at modern markets, he warns that a 70% drop in high-flying AI stocks is highly possible, comparing the current situation to the Nasdaq's 82% crash in 2000 and the 20-year stagnation after the 1989 Japanese asset bubble. He explains the wealth effect, showing how stock market losses decrease spending and trigger job layoffs, leading to recessions.

  • Grantham pioneered value and small-cap investing long before they became standardized quantitative strategies.
  • A 70% stock correction would align with past bubble bursts, such as the Nifty Fifty in 1972 and Nasdaq in 2000.
  • Market crashes lead to real economic recessions due to consumer spending drops and widespread corporate layoffs.

Provides historical and biographical context, but repeats the core warning of a major stock correction.

13:15-18:33

Defensive Allocation: Bonds, Real Estate, and Foreign Stocks

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Grantham outlines defensive investment strategies, advising people to diversify into cash, short-term bonds, and some precious metals. Host Stephen Bartlett explains how ordinary investors can buy US government bonds directly on TreasuryDirect.gov to bypass Wall Street transaction fees, or access corporate bonds like Apple's through retail brokers. Grantham expresses skepticism about real estate, noting that Western home prices have risen to a dangerous 10 times family income, locking out young buyers. He reiterates his advice to invest outside the US, as foreign stocks in Europe, Japan, and emerging markets are much cheaper and have a better long-term outlook.

  • Bonds, cash, and precious metals are essential safe havens during stock bubble corrections.
  • TreasuryDirect.gov allows retail investors to buy zero-fee US government debt instruments directly.
  • Sovereign index funds outside the US present lower valuations and better yield prospects over the next decade.

Contains the most practical and direct asset allocation advice of the entire interview.

18:33-26:30

Why Wall Street Lies & Advice for Founders

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Grantham explains that large financial institutions will never advise clients to pull out of an overpriced market because doing so is bad for their asset-management fee business. He shares a story from 1999 when 99% of professional analysts privately agreed a crash was imminent, yet their firms publicly preached optimism to maintain market share. Grantham recounts how his own firm lost half its clients by issuing early warnings in 1998, illustrating how career risk forces herd behavior among fund managers. For early-stage business builders, he advises raising and locking up as much capital as possible now before funding markets dry up.

  • Financial institutions face a conflict of interest, as warning of a bubble threatens their fee-paying assets under management.
  • Investment managers prefer to be wrong in a crowd ('wrong in company') to avoid career risk and job loss.
  • Unprofitable startups must prioritize securing immediate capital runways to survive the upcoming freeze in private markets.

Exposes the institutional incentives of Wall Street and offers critical survival tactics for startup founders.

26:30-39:45

The Real AI Debate: Alignment Risks and the Magnificent Seven

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The discussion focuses on the physical and software mechanics of AI. Grantham notes that even top experts disagree on whether AI will lead to post-scarcity wealth or human extinction. He explores the challenges of coding benevolence into AI, referencing how models like Claude already demonstrate judgmental behaviors and refuse tasks. Grantham analyzes the 'Magnificent Seven' tech stocks, explaining how they transitioned from independent monopolies (like search or chip manufacturing) into a singular, hyper-competitive battleground. He warns that their massive capital expenditures on AI data centers resemble a high-stakes, winner-take-all struggle that could end badly.

  • There is no scientific consensus among AI leaders regarding long-term alignment or AGI safety.
  • Imposing ethical frameworks on LLMs can unintentionally lead to judgmental, uncompetitive user interactions.
  • The Magnificent Seven have shifted from highly profitable monopolies into a hyper-competitive, high-risk AI capital expenditures war.

Directly addresses the user's focus on AI model dynamics, safety architectures, and corporate capital expenditure trends.

39:45-50:21

The Robotics Boom, SpaceX Scepticism, and the Mars Illusion

optional

Stephen and Jeremy look at the convergence of AI with physical hardware, highlighting a major robotics boom in Silicon Valley driven by cheap AI processing. Grantham is skeptical of SpaceX, arguing that Elon Musk relies on hype to drive up stock prices, sell equity at high valuations, and fund capital-intensive projects. He rejects Musk's Mars colonization plans, detailing physiological limitations like gravity-induced bone density loss, heart atrophy, and cosmic radiation. Grantham argues that public resources and imagination should focus on protecting Earth rather than chasing fantasies like space mining.

  • The drop in the unit economics of intelligence has triggered a massive boom in hardware-focused robotics.
  • SpaceX and Tesla leveraged massive retail stock valuations to build manufacturing factories.
  • Human colonization of Mars is highly impractical due to bone density decay, heart atrophy, and cosmic radiation.

Fascinating perspective on space tech and physical limits, but less relevant to immediate macro investing.

50:21-58:18

Systemic Inequality, Civil Reset, and Wealth Creation

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Grantham points to declining public services, like rising UK ambulance response times, as symptoms of failing Western systems. He attributes this decay to extreme wealth inequality, noting the US now matches Brazil's high inequality index. Citing historical studies, he warns that extreme wealth concentrations are historically reset only by major crises: state collapse, massive warfare, or total revolution. When asked how a 33-year-old can build wealth today, Grantham advises entering the AI field, working hard, taking massive risks, and ignoring conventional rules.

  • UK ambulance delays are highlighted as a warning sign of degrading Western social infrastructure.
  • Extreme wealth inequality is rarely fixed by peaceful policies, historically requiring crises like war or state failure to reset.
  • To build wealth today, young professionals must take outsized risks within the AI wave.

Integrates economic history, heterodox views on inequality, and wealth-building advice for young professionals.

58:18-1:08:54

The Chronic Baby Bust and Insect Population Collapse

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Stephen shares his personal challenges with family planning, starting a deeper discussion on the 'chronic baby bust.' Grantham explains that his environmental foundation pivoted to human health after tracking a 50-75% drop in global flying insect biomass, which threatens ecosystems. He presents alarming academic data showing that global male sperm counts have halved since 1970 and continue to drop by 2.5% annually. Grantham points to Shanna Swan's research, which projects that median male sperm counts could reach zero by 2045, making functional infertility a near-term reality.

  • The collapse of global insect populations threatens the ecological foundation of human survival.
  • Male sperm counts are declining globally at a non-sustainable rate of 2.5% per year.
  • At current rates, the median male sperm count is on track to hit zero by 2045, creating a global demographic cliff.

Presents key biological and demographic data that underpins Grantham's long-term economic pessimism.

1:08:54-1:22:09

Endocrine Disruptors: The Toxic Chemical Threat

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Grantham identifies the root cause of the fertility collapse: endocrine-disrupting chemicals. They discuss the impact of phthalates, BPAs, PFAs, and agricultural pesticides like atrazine (which completely castrates frogs). Grantham cites studies showing that organic diets can double sperm counts and live births, emphasizing that fetuses are highly vulnerable. He argues that while Europe bans thousands of these toxic cosmetic and food additives, the US prioritizes corporate profits, resulting in a widening life-expectancy gap between the two regions.

  • Endocrine-disrupting chemicals found in everyday plastics, pans, and cosmetics disrupt fetal development.
  • Organic diets that avoid pesticide-heavy produce can double sperm counts and improve IVF success rates.
  • The US regulatory system is heavily influenced by corporations, banning only 12 cosmetic chemicals compared to the EU's 1,500.

Provides critical chemical and health insights, connecting corporate deregulation to declining life expectancy.

Key points

  • The Evolutionary Anatomy of Technology Bubbles — Truly revolutionary technologies—such as railroads, the internet, and now generative AI—inevitably trigger massive investment bubbles. Because the long-term potential is genuinely world-changing, public euphoria drives valuations to extreme heights that cannot support near-term earnings, triggering devastating corrections before the tech matures.
  • Asymmetric Institutional Career Risk — Mainstream financial advisors and asset managers are structurally incapable of warning clients to exit bubble markets. Because they face immense pressure to match competitor yields, they adhere to the herd mentality of being 'wrong in company' rather than taking the career risk of being defensive and early.
  • The Endocrine and Demographic Cliff — Pervasive synthetic chemicals—specifically phthalates, BPAs, and PFAs—act as endocrine disruptors, causing a steady 2.5% annual decline in global male sperm counts. At current linear rates, the median male sperm count is projected to reach zero by 2045, threatening widespread functional infertility.
  • The Fracturing of the American Social Contract — Extreme wealth inequality has reduced the US social contract to a cold-blooded, profit-maximizing model, leaving its poorest citizens with sub-standard healthcare. This systemic neglect is reflected in poor public health metrics, such as US maternal mortality rates being up to ten times worse than Nordic countries.
The only people who think you can have compound growth on a finite planet are madmen and economists. Kenneth Boulding (quoted by Jeremy Grantham)
The greater the idea, the more obvious the idea, the more money goes in, and the bigger the bubble, and the bigger the bust. Jeremy Grantham

AI-generated from the transcript. May contain errors.

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

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button. It helps to show more than you

26:03

know, and according to the algorithm,

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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

because it's hard and it's

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.

40:14

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So, coming back to this point of the the

41:59

social societal effect of AI

42:01

generally,

42:02

robotics is exploding at the same time.

42:05

We're seeing for the first time ever

42:06

these humanoid robots, which now have

42:08

intelligence because of AI, becoming

42:11

very, very good. There was a video the

42:12

other day of a company called Figure AI

42:15

where they showed a robot humanoid robot

42:17

on a production line sorting packages

42:19

against a human and the humanoid robot

42:21

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

42:22

to get this wrong but it was in the

42:24

region of seven or eight days it stood

42:26

there and sorted packages and they live

42:29

streamed it next to a human being doing

42:31

it. Now the human had to sleep and had

42:32

to go to the toilet. So the the humanoid

42:35

robot won and the job was very simple.

42:37

The packages come down, you just have to

42:39

pick the package up, turn it over, get

42:41

it the right way round so the barcode's

42:42

facing down and put it back down.

42:44

That is powered now because we have AI.

42:46

Um I said this a couple of episodes ago

42:48

but my friend runs this big accelerator

42:50

for entrepreneurs in San Francisco and

42:52

when I went there a couple of years ago

42:53

it was all software startups. I went

42:55

there um recently and it was hardware

42:57

startups the whole building. I said why

42:59

why why is everyone doing robotics? He

43:01

said well

43:02

we've always had the machinery that's

43:04

sort of like joints and arms and

43:06

the hardware. We the the intelligence

43:10

was expensive.

43:11

Now we have both and it costs pennies.

43:13

So there's this boom in robotics. I say

43:15

all this to ask the question in a world

43:17

where we have super intelligence and we

43:19

have robots

43:22

there must be surely significant job

43:25

disruption.

43:27

>> Very likely that there will be

43:28

significant job disruption. You know,

43:31

one of the scary things about SpaceX is

43:34

you should wish that it not

43:36

work out because if it became a bargain

43:39

rather like Tesla long ago became a

43:42

bargain

43:43

it will mean that we have done

43:46

satellites from space beaming down

43:49

power for chips and so on.

43:52

The population

43:54

of chip users has expanded that robots

43:57

are everywhere, that energy demand is

44:00

massive beyond belief

44:02

and uh

44:04

the world is

44:06

a very very dangerous place. I had much

44:08

prefer them to fail and the ideas to

44:10

move much more slowly

44:12

to buy time for humans to work these

44:14

things out.

44:16

So,

44:17

and I think that's much more likely.

44:19

>> You think SpaceX will fail?

44:20

>> I think it will fail to deliver anything

44:23

like its promises in the prospectus.

44:25

Yes, absolutely.

44:27

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

44:28

probably declare that.

44:29

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

44:31

>> I invested quite early, quite well,

44:33

relatively early.

44:34

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

44:38

There wasn't an AI thesis when I

44:39

invested. It was Starlink.

44:41

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

44:43

way, makes money.

44:45

But this is not Starlink.

44:46

>> Mhm.

44:47

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

44:49

Starlink.

44:50

>> Yeah.

44:51

It was a hundred billion dollars roughly

44:53

in that region when I invested.

44:55

So, it's what it rose up to three

44:56

trillion today.

44:58

>> Yes, nice investment.

45:00

>> Not a bad investment, yeah.

45:01

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

45:02

cashed it in.

45:03

>> Yeah, which I might do now.

45:05

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

45:07

months?

45:07

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

45:08

>> In another podcast I was comparing the

45:11

purchase of my Tesla six years ago

45:14

with the price of Tesla stock.

45:16

And I wrote it up in my quarterly letter

45:19

uh to the clients

45:21

that A, I bought a Tesla and B, I

45:24

thought Tesla was overpriced.

45:27

And fast forward, Tesla stock went up 10

45:29

times over the life of my car, which

45:32

still hasn't been incidentally into the

45:34

garage once.

45:35

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

45:36

>> Uh I imagine though, but but people who

45:39

really hate futzing around with cars,

45:42

that component that they don't have to

45:44

go to the garage

45:45

is so underestimated until you enjoy it.

45:48

>> Never bet against Elon, then.

45:50

>> So,

45:52

then the story becomes

45:54

from where we were 10 years ago, he

45:56

couldn't get there. It wasn't profitable

45:58

enough. It couldn't grow as fast as it

46:00

should. There was no way. And he broke

46:03

the rules the following way.

46:05

He's so good

46:07

at BS.

46:09

I That's a technical term. That he

46:11

talked the stock up to four or five

46:13

times what it what it was worth on

46:16

paper. Then he sold lots of stock

46:18

at five times what it was worth.

46:21

Used the money to build a gigafactory.

46:24

And then instead of the sale of stock

46:26

crushing it, he kept on talking up the

46:29

game. The stock kind of hung in

46:32

and then went up again.

46:34

Five times what it was worth. Sold

46:36

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

46:39

reason he did well was because of the

46:42

combination of incredible

46:45

confidence inspiring in potential

46:48

stockholders.

46:49

It became a self-fulfilling prophecy. It

46:51

wasn't worth that, but he persuaded

46:53

other people that it was. The stock went

46:56

up, he cashed it in, he built factories,

46:58

the stock went up, he cashed it in, he

47:00

built more factories, and there we were.

47:02

It went up 10 times. Now,

47:04

the scale of SpaceX requires them to do

47:07

the same again.

47:09

And the timing of the market cycle, the

47:11

timing of confidence,

47:12

would have to be the same.

47:14

He had in the last six years a wonderful

47:17

bull market. He will not in SpaceX do

47:20

that. SpaceX is such a fabulous

47:23

BS story. Mining asteroids.

47:27

Huge incredible success of AI.

47:30

It's the classic

47:32

description of a market peak. It's what

47:34

you look for at the top of a terrific

47:36

bubble.

47:38

>> I've got a Tesla.

47:40

Um

47:41

I've seen the that massive rocket, the

47:44

Starship, be caught with those

47:46

chopsticks.

47:47

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

47:50

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

47:52

magnificent moment.

47:53

>> When I

47:54

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

47:56

[laughter]

47:56

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

47:58

that. But but also I've seen with

48:00

Neuralink I've seen people that are

48:02

paraplegic controlling computers.

48:05

Uh my Tesla drives itself for hours and

48:08

hours and hours without me touching the

48:09

pedals or the steering wheel because it

48:10

can see the road and navigate itself.

48:13

But to his credit as an innovator, he

48:15

has created magic.

48:17

So when you say about mining asteroids,

48:19

if if they if they told me we'd have

48:21

reusable rockets that you could catch on

48:23

chopsticks, I would have gone B S.

48:26

There's no way.

48:27

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

48:29

>> in the laws of physics

48:31

>> That's what he

48:31

>> that says you can't do that.

48:32

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

48:34

That's what he says about everything. He

48:35

goes

48:36

If it's within the laws of physics,

48:38

then it's possible.

48:40

>> Going to Mars is not within the laws of

48:42

physics, really.

48:45

It's a one-way ticket to Mars for

48:47

starters.

48:49

When you're on Mars, humans do a couple

48:51

of things really quickly. Their heart

48:54

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

48:56

the

48:57

gravity. Your heart loses its muscle

48:59

power.

49:01

And your bones lose their internal

49:03

strength.

49:04

If you come down, your heart will fail

49:07

and all your bones will crack.

49:09

>> But you could be in an insulated

49:10

environment, no?

49:11

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

49:13

underground

49:14

to avoid

49:16

the incredible incoming

49:18

rays

49:20

that will otherwise give you cancer in a

49:21

few weeks. So dig a deep hole

49:24

and then you need a gravitational

49:26

spinning machine,

49:28

shades of

49:29

2001 or whatever it was called.

49:32

And that maintains your gravitational

49:34

impact. And you have to build it

49:36

underground.

49:38

You have to protect yourself

49:40

>> [laughter]

49:40

>> against cosmic rays and against the

49:43

gravitational difference.

49:45

Listen, we have not been able to build

49:48

a sustainable system in a dome

49:51

ever.

49:52

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

49:55

say, "Guys, let's build a sustainable

49:58

dome where you grow food, you put in

50:00

people, you put in creatures, and then

50:02

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

50:05

mean, we're destroying the damn planet.

50:07

And yet we think we can go to another

50:09

infinitely more hostile planet than this

50:11

one.

50:12

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

50:14

with us. I think we should focus on our

50:15

planet first and foremost.

50:16

>> That's the really bad news embedded in

50:19

your stock.

50:20

It's really

50:22

suggesting fantasy and

50:25

long-term objectives at the very time

50:28

when our own planet is under threat.

50:29

>> Would you ever invest in SpaceX?

50:31

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

50:35

>> where I invested.

50:36

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

50:38

cents.

50:39

>> Okay.

50:41

You've got three children?

50:43

>> Yes.

50:43

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

50:45

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

50:47

33 years old, so they're all

50:49

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

50:50

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

50:51

were, you know, if they were young now,

50:53

and they came to you and they said,

50:54

"Dad, listen, I heard about all this AI

50:55

stuff, and I'm about to go off to

50:57

university and train myself. What what

50:59

skills should I be thinking about for

51:02

the future ahead?"

51:03

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

51:06

to be involved in climate change work.

51:09

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

51:10

I don't

51:11

>> Be an engineer. Do something really

51:13

useful that will come in handy if things

51:16

start to unravel.

51:17

>> What what will

51:18

>> Practical skills.

51:19

>> What what are practical skills?

51:21

>> Well, our second son

51:23

um is practicing growing various crops

51:27

and has a small farm, you could say.

51:30

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

51:32

would deal with chickens, how you would

51:34

deal with pigs, how you would deal with

51:37

mushrooms.

51:37

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

51:39

based on the future that you're

51:41

forecasting?

51:41

>> I think there's quite a good chance

51:44

that the the level of complexity of our

51:47

civilization will start to

51:50

to unravel.

51:51

Lose the plot at the ends is the first

51:53

thing that would go. I'll tell you a

51:55

good sign. How long does it take to get

51:57

your ambulance?

51:58

>> I've heard that in the UK

51:59

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

52:01

>> Yeah.

52:02

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

52:03

>> Really? To get an ambulance?

52:04

>> It's exactly what you would expect as

52:06

people begin to lose the plot a bit.

52:09

They fray at the edges.

52:10

People can't buy houses.

52:13

People don't feel they can do as well as

52:15

their parents.

52:17

People are basically disgruntled. They

52:20

want to vote against the party in power.

52:23

You know that the recent move to Trump

52:26

was less than the average move of the

52:28

last seven European elections.

52:30

It didn't matter whether they were

52:31

right-wing conservatives, kick the

52:33

rascals out. Left-wing French, kick them

52:36

out. And why do you want to kick them

52:38

out? Because you don't think things are

52:40

going well. You're not feeling

52:42

really happy.

52:44

You're disappointed.

52:45

>> Why?

52:45

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

52:47

bad job. I think that's the reflex.

52:49

>> What are What are the government doing

52:50

wrong?

52:51

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

52:53

doing anything wrong. It's just that the

52:55

environment is becoming tougher.

52:56

>> As in the economic environment?

52:58

>> The economic environment, the

53:00

>> The rich are getting richer, the poor

53:01

are getting poorer.

53:02

>> I think that's the biggest economic

53:04

problem.

53:05

I mean, the US now has a genie ratio

53:08

like which is a measure of how unequal

53:10

your society is.

53:12

Um which is up there with Brazil and

53:14

Mexico they used to be

53:16

a joke.

53:17

And now the US is up there. Since about

53:20

1975

53:22

all of the wealth we're talking about

53:24

has gone to the top 10% and a lot of

53:26

that to the top point 01. Before that by

53:28

the way, from 1935 from FDR to 1975

53:33

so that's 40 years

53:35

we had a

53:36

wonderful period of growth.

53:38

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

53:42

But the nice thing was that the poorest

53:43

quarter made a little bit more than

53:45

average, let's say 4 percent, and the

53:47

richest quarter made a little less,

53:49

let's say 3 percent, and everybody got

53:51

richer. Everyone was happy.

53:53

And then from '75 onwards, basically the

53:56

average hour worked in America has

53:59

barely gotten more adjusted for

54:00

inflation than it did in 1975.

54:03

>> The richest 1 percent of Americans

54:04

control 31 percent of the nation's

54:06

entire wealth, and by contrast, the

54:07

bottom 50 percent of the entire

54:09

population shares just 2.5 percent of

54:12

the wealth. The richest 10 US

54:14

billionaires saw their wealth surge by

54:16

526

54:18

percent, adjusted for inflation, between

54:20

2020 and 2025.

54:23

Between 1989

54:25

and the mid-2020s, the financial gain of

54:28

a single household at the top 1 percent

54:30

threshold was 987

54:34

times larger

54:36

than the gain of a household in the

54:37

bottom 20 percent.

54:40

>> Forget In a sense, the bottom 20 percent

54:42

is tragic, but the guy in the middle,

54:44

the 50th percentile,

54:46

he is

54:47

unhappy, also. And when your average guy

54:50

is unhappy because he's not doing very

54:52

well,

54:53

you know you have a problem.

54:55

>> What is that problem, this inequality

54:57

we're seeing across the Western world?

54:59

What does history tell us happens next?

55:02

>> All bad.

55:04

We had a

55:05

similarly unequal society back in the

55:09

so-called Gilded Age

55:10

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

55:14

lucky in a in an ugly way. We ran into

55:16

World War I,

55:18

which was catastrophically expensive,

55:20

killed off a huge fraction of the

55:22

officer class, and then we went into the

55:26

Great Depression.

55:27

Then we went into World War II.

55:30

We came out as a uh

55:32

very equal society by historical

55:35

standards.

55:36

Obviously, in the war time you pull

55:39

together and

55:41

the social contract, the feeling that

55:43

you owe something to the rest of society

55:45

was much stronger

55:47

than it is today.

55:48

>> I was doing some research and said when

55:49

wealth inequality peaks to the extremes

55:51

that we currently see in the US and the

55:53

UK,

55:54

history shows that the system inevitably

55:56

resets. According to historical macro

55:58

studies, peaceful policy changes almost

56:02

never fix extreme inequality.

56:04

[clears throat]

56:05

Historically, a wealth peak is broken by

56:07

one of three violent or catastrophic

56:11

triggers.

56:12

Number one, total civil collapse and

56:14

state failure. Number two, mass

56:16

mobilization warfare. Or number three,

56:19

total revolution.

56:20

>> Yeah, and that's why

56:23

number two was lucky. In the end,

56:26

it's better to have a war

56:28

and have everyone

56:29

pull their weight and and and work

56:31

together than it is the other. You Civil

56:34

wars are the worst of all kinds.

56:36

>> What do you think is likely to happen?

56:38

It can't just keep becoming more and

56:39

unequal.

56:40

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

56:44

a government

56:46

that is prepared to pull a Bernie

56:48

Sanders

56:49

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

56:52

least

56:53

in a gentle and long-term way shift the

56:56

tax structure in favor

56:59

of of a slightly steeper curve."

57:01

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

57:03

>> Yeah.

57:04

>> We need to tax the rich

57:05

>> and help

57:06

the poor.

57:08

It's pretty simple. And and you have a

57:10

kind of steepness in every society.

57:11

That's what they do.

57:13

Every Every developed country in the

57:15

world taxes the rich and helps the poor,

57:17

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

57:20

We did

57:22

much more

57:23

helping the poor

57:25

and taxing the rich

57:26

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

57:29

do today. And somewhere between that

57:31

level and the current level

57:34

might be more than enough if we just

57:36

started

57:37

to adopt the policy of 1935 to 75, where

57:41

the bottom quarter get a half percent a

57:44

year richer than the average.

57:47

And the top dogs

57:48

get half a percent less each year

57:51

than the average. That sounds pretty

57:53

unthreatening. I think we would ease our

57:55

way over several decades

57:57

uh into a better place.

57:59

>> If you were 33 now, my age,

58:01

and you were trying to accumulate

58:03

wealth,

58:04

>> Oh god, I wish I was 33.

58:05

>> Do you?

58:06

>> It's such an exciting time.

58:07

>> What would you give to be 33?

58:09

>> I There's nothing I can give.

58:11

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

58:12

funny. It's I heard someone ask a

58:13

question like this the other day. They

58:14

were They said like, "Would you give

58:17

your your entire available net worth to

58:19

be 33?"

58:20

>> Yeah, I think

58:22

everyone says yes. I mean, how did one

58:24

get a net worth by

58:27

by work and luck and

58:31

creativity, all those good things.

58:33

>> If you were 33 now in this moment in

58:35

time, and your objective was And this is

58:37

a bit of a crass objective, but I'm

58:39

going to It sounds like it's a very

58:41

one-dimensional objective, but if your

58:43

objective was just to become rich now at

58:45

33, what strategy would you deploy?

58:48

Again, I'm going to take away your

58:49

contacts.

58:51

I'm even going to take away everything

58:52

you know.

58:54

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

58:55

acquiring new information. What would

58:57

you do?

58:58

>> I think the simple appeal would be to

59:00

get your tail into AI

59:02

and and try and be a leader.

59:05

Try and know more about everything in

59:07

that area than the next guy.

59:09

>> Mhm.

59:10

>> Join [clears throat] a leading firm and

59:12

uh

59:13

and go for broke. You may end up

59:16

encouraging

59:18

the destruction of the human species,

59:20

but

59:21

you asked a simple question, and I give

59:22

you what I think is the simple answer.

59:24

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

59:26

sure you're riding a wave that's coming

59:28

into shore and you're on the forefront

59:29

of that incoming wave. Like we saw with

59:31

the tech bubble, we saw with you know,

59:33

we're now seeing with the AI bubble.

59:35

So, it's really about

59:37

acquire the most valuable information.

59:40

>> Yes.

59:41

And take lots of risk.

59:44

Don't be conservative.

59:46

>> And work hard.

59:47

>> And work hard.

59:48

And think outside the box.

59:51

I mean, I think that the biggest

59:53

deficiency

59:54

uh most people is that they feel

59:56

constrained

59:58

uh to play the game by the regular

1:00:00

rules.

1:00:01

And to believe that experts

1:00:04

and authorities know what they're doing.

1:00:06

And and that as you know, probably, it

1:00:08

just ain't so.

1:00:10

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

1:00:11

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

1:00:15

want to invest it somewhere that's going

1:00:16

to

1:00:17

not lose me money through all of these

1:00:19

cycles of, you know, boom and bust.

1:00:22

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

1:00:24

of people message me and ask me about

1:00:25

investing because I interview lots of

1:00:27

people about investing. I have my own

1:00:28

investment fund as well.

1:00:30

Um

1:00:31

But what advice do you give for the

1:00:32

average person that's looking to invest

1:00:34

their salary or their wages?

1:00:36

>> Buy a broad-based index of uh

1:00:39

non-US equities.

1:00:40

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

1:00:42

>> For um like 60% of your money.

1:00:45

And then 5 or 10% in precious metals and

1:00:48

uh

1:00:50

if if it's convenient and sensible, hold

1:00:53

hold a bit of real estate. And the rest

1:00:56

I'd put in uh bonds.

1:00:58

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

1:01:00

and gold? A preference for either silver

1:01:02

or gold?

1:01:04

>> No.

1:01:05

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

1:01:07

said non-US.

1:01:08

>> Non-US.

1:01:09

>> This is so interesting cuz everybody

1:01:10

says invest in US stocks.

1:01:13

>> Of course they do. They've been

1:01:14

completely dominant for 20 years.

1:01:17

Completely kicking ass around the rest

1:01:19

of the world. And then

1:01:21

in the last 12 months, emerging markets

1:01:23

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

1:01:26

better than I would have guessed, but

1:01:28

it's only 25.

1:01:30

That's a lot less than 65.

1:01:32

>> And I guess the strategy is quite

1:01:34

important here as well, which is you're

1:01:35

saying to hold these for a long time.

1:01:37

Try not to buy and sell.

1:01:39

>> And and try and look at where the cycle

1:01:41

has been. And I can tell you, and you

1:01:43

can see it for yourself, there has been

1:01:45

an enormous cycle in favor of the S&P,

1:01:48

in favor of the American market over the

1:01:50

rest of the world. And do you think

1:01:53

America is going to keep on gaining on

1:01:55

the rest of the world?

1:01:56

And of course you're going to say yes

1:01:57

now, because that's

1:01:59

that's the flavor of this market. We

1:02:02

think that what is good today will

1:02:04

continue being good indefinitely, even

1:02:06

though history tells you that is

1:02:08

absolutely not the case.

1:02:10

We live in a world that tends to rotate

1:02:12

from one to the other. We believe in a

1:02:14

world that extrapolates today's

1:02:16

conditions. And you can easily prove

1:02:17

that. The stock market is not efficient.

1:02:19

The stock market extrapolates today's

1:02:21

conditions. If they are terrible

1:02:24

in 1982, they will take crushed earnings

1:02:28

and multiply it by seven times earnings.

1:02:31

And then, in 2000, peak profit margins

1:02:35

times, woo, 35 times earnings. They

1:02:37

double count in the worst way. When

1:02:40

times are good, you multiply it by a

1:02:42

lot. That's another way of saying you

1:02:44

extrapolate it into the distant future.

1:02:47

>> You assume it's going to continue.

1:02:48

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

1:02:50

"Of course that's

1:02:52

extrapolation is the convention you

1:02:54

adopt, even though you know from

1:02:55

personal experience that the world is

1:02:57

not that way."

1:02:58

>> You didn't use the word crypto

1:03:00

when you're talking about investment

1:03:01

strategies. How much crypto do you own?

1:03:03

>> None.

1:03:04

>> Have you ever owned any crypto?

1:03:06

>> No.

1:03:07

>> Will you ever own any crypto?

1:03:08

>> No.

1:03:08

>> Will you ever advise anyone to buy

1:03:10

crypto?

1:03:10

>> No.

1:03:12

>> Why?

1:03:14

>> I think it's a

1:03:16

an unnecessary

1:03:18

uh

1:03:19

piece of uh

1:03:21

nonsense.

1:03:22

It facilitates nothing except criminals

1:03:25

moving money

1:03:26

so they can't be seen.

1:03:28

It's not a store of value since it

1:03:30

bounces around all over the place just

1:03:32

down from 120 to 60

1:03:34

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

1:03:36

stable. It's volatile as hell.

1:03:39

It's not used conveniently as a medium

1:03:41

of exchange. You can't go into a shop

1:03:43

and use it easily.

1:03:45

It does one thing

1:03:46

very, very well.

1:03:48

It's a means of speculating beautifully.

1:03:52

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

1:03:53

zero?

1:03:54

>> Well,

1:03:55

in the distant future, yes, it will

1:03:56

certainly go to zero, but it may take a

1:03:58

long time.

1:04:00

And and, you know, in the distant

1:04:02

future, everything goes to zero, so

1:04:05

>> What about property as an investment?

1:04:07

Because the first sort of reaction most

1:04:08

people have when they have enough money

1:04:10

to make an investment or to buy

1:04:12

something is they buy a property as an

1:04:14

investment asset. So, people go buy

1:04:16

themselves a house, they'll move into

1:04:17

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

1:04:18

you start to accumulate wealth is you go

1:04:20

buy yourself a house.

1:04:22

What do you think of that?

1:04:23

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

1:04:25

good decision

1:04:27

when uh there's such an increasing

1:04:28

fraction of people

1:04:30

who can't afford it.

1:04:32

And there is a political resistance, you

1:04:34

know.

1:04:34

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

1:04:35

know, if I buy one now and increasingly

1:04:38

people can't afford one, doesn't that

1:04:39

mean that my my house is going to be

1:04:41

worth more in 10 years' time?

1:04:43

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

1:04:44

no one bidding.

1:04:46

And by the way, the population is going

1:04:48

to decline.

1:04:50

Young family formations are already

1:04:52

declining in

1:04:54

many of the richer countries.

1:04:56

And if you have family formations

1:04:58

declining and you have super expensive

1:05:01

houses, what do you think is going to

1:05:03

happen? Now, you could say, "Well,

1:05:04

perhaps there will be a mysterious

1:05:06

increase in family formations."

1:05:08

And that the chronic baby bust that we

1:05:11

maybe will talk about soon. Um, we'll

1:05:14

stop.

1:05:18

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one of the things I've learned is that

1:06:30

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

1:06:32

it can feel incredibly psychologically

1:06:36

uncomfortable because it's kind of like

1:06:37

being stood at the foot of Mount Everest

1:06:39

and looking upwards. The way to

1:06:40

accomplish your goals is by breaking

1:06:42

them down into tiny, small steps, and we

1:06:45

call this in our team the 1%. And

1:06:47

actually, this philosophy is highly

1:06:49

responsible for much of our success

1:06:51

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

1:06:53

home can accomplish any big goal that

1:06:55

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

1:06:58

and we released these last year, and

1:07:00

they all sold out. So, I asked my team

1:07:02

over and over again to bring the diaries

1:07:04

back, but also to introduce some new

1:07:05

colors and to make some minor tweaks to

1:07:07

the diary. So, now we have a better

1:07:10

range for you. So, if you have a big

1:07:13

goal in mind and you need a framework

1:07:15

and a process and some motivation, then

1:07:17

I highly recommend you get one of these

1:07:19

diaries before they all sell out once

1:07:21

again. And you can get yours at the

1:07:23

diary.com.

1:07:25

And if you want the link, the link is in

1:07:26

the description below.

1:07:27

Let's talk about the chronic baby bust.

1:07:31

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

1:07:32

think there were some articles that

1:07:33

actually came out this week in the New

1:07:34

York Times that talked about the

1:07:36

declining fertility rates and how young

1:07:38

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

1:07:41

I'm engaged to a young woman who

1:07:44

and me and me and her are trying to have

1:07:45

a child now.

1:07:47

Um it's not not always a straight line

1:07:50

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

1:07:51

kind of sold the idea that it is, that

1:07:52

you just have sex without a condom and

1:07:54

then a baby appears, but um lots of

1:07:56

young families and lots of my friends

1:07:58

who are trying to have kids have gone

1:07:59

for a couple of years

1:08:01

trying and struggling to con- to

1:08:03

conceive. So much so that after doing

1:08:05

this podcast, I started telling some of

1:08:08

my friends that I actually think it's a

1:08:09

good idea to start freezing your eggs,

1:08:11

embryos, sperm.

1:08:13

Because if it is going to get

1:08:14

increasingly harder, then there might

1:08:16

need to be

1:08:17

um medical interventions, IVF,

1:08:20

um etc.

1:08:22

for me and my friends.

1:08:23

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

1:08:25

have families. But the the problem is as

1:08:26

well at like 33 years old, um if you

1:08:29

look at the data, you're not at your

1:08:30

peak necessarily in terms of fertility.

1:08:32

You're somewhere you're coming down the

1:08:34

slope as a man. Um and but also as a

1:08:37

woman.

1:08:38

And so, you're kind of fighting time a

1:08:39

little bit it feels like.

1:08:41

>> Yeah, you are.

1:08:41

>> And I think my partner feels the same

1:08:43

way that we wish we were told a little

1:08:44

bit earlier about family planning.

1:08:46

And then I hear that about this fert-

1:08:48

these fertility issues that apparently

1:08:49

have been caused by toxins

1:08:52

and that sort of chemicals in our

1:08:53

environment. You have spent a long time

1:08:56

thinking, writing, talking about this.

1:08:58

>> Yes.

1:08:58

>> I guess the first question is why? Why

1:09:00

is a guy that's known for managing

1:09:01

billions and billions and billions of

1:09:03

hundreds of billions of dollars talking

1:09:04

about fertility?

1:09:07

And this sort of baby bust.

1:09:09

>> Well,

1:09:10

starting

1:09:12

27 years ago with the

1:09:14

foundation, we were committed to start

1:09:17

thinking about everything to do with the

1:09:19

climate. And and you're moving in the

1:09:22

right circle then, because the next

1:09:24

thing is we started to worry about the

1:09:26

cataclysmic decline in insects. I don't

1:09:28

know if you're aware of this, but

1:09:30

insects appear to have dropped in

1:09:31

biomass, the weight of the flying

1:09:33

insects, by 50 to 75%.

1:09:36

>> Really?

1:09:37

>> In the last 60, 70 years.

1:09:40

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

1:09:43

believed that you know, nature could

1:09:45

handle

1:09:46

the loss of humans easily, effortlessly,

1:09:49

but it could not handle the loss of of

1:09:51

insects. That insects are in in the

1:09:53

sense, he felt,

1:09:55

and and his fellow experts, he

1:09:57

represented them as thinking the same

1:09:58

way, that they Insects are the bedrock

1:10:01

of nature.

1:10:02

And if they start to go out of business,

1:10:04

then the

1:10:05

birds who feed on on them and the

1:10:07

amphibians, they start to decline, which

1:10:09

they have done also catastrophically.

1:10:12

One thing leads to another, and the

1:10:15

beetles are no longer

1:10:16

recycling the forest floor, and

1:10:19

eventually things won't grow, and

1:10:22

no one to uh

1:10:24

fertilize the plants, and the damage

1:10:26

spreads, and he felt that eventually

1:10:28

loss of insects would lead to a more or

1:10:30

less complete failure of nature.

1:10:33

And and

1:10:34

we would inherit a planet that was no

1:10:36

longer conducive to humans.

1:10:38

We noticed that some of the same effects

1:10:41

are felt uh by humans.

1:10:44

And uh a report came out,

1:10:47

Shanna Swan and Hagai Levine,

1:10:50

I think it finished in 2011,

1:10:52

and uh it made the case

1:10:54

that uh sperm count had been dropping

1:10:57

had almost halved since the first

1:11:00

reports academic reports in 1970.

1:11:03

So, I immediately said this has the

1:11:05

feeling of something that is really

1:11:07

important.

1:11:08

We got to study the data and the results

1:11:11

came out suggesting that the decline

1:11:13

rate was accelerating. The decline rate

1:11:15

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

1:11:17

don't have to be mathematically that

1:11:19

literate to realize that a 2 and 1/2%

1:11:21

decline in your sperm count every year

1:11:24

is a disastrous level, a non-sustainable

1:11:27

level, right?

1:11:28

>> How long is that going to take for this

1:11:30

my sperm to basically not work?

1:11:31

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

1:11:35

is

1:11:36

that in hunter-gatherer days we had 118

1:11:39

million units per milliliter of sperm.

1:11:42

And when the academics came in in 1970,

1:11:45

uh

1:11:46

it was down to about 100.

1:11:49

And today it's 35.

1:11:51

Okay?

1:11:52

Also, the quality

1:11:54

and the mo- motility they call it had

1:11:57

also declined

1:11:59

somewhat similarly.

1:12:01

It turns out, luckily for us, that we

1:12:03

were over-engineered at I like to say

1:12:05

like a great Victorian bridge.

1:12:08

Nature doesn't take any risks and and

1:12:11

you have more than you need. And it it

1:12:13

appears, again, a good guess is about 45

1:12:16

million units

1:12:18

is what you need to be able to get

1:12:20

pregnant without any difficulty. And

1:12:22

that was hit about 15 to 20 years ago.

1:12:25

The number of young couples who needed

1:12:27

help 15 or 20 years ago

1:12:30

uh was nil, basically.

1:12:32

And for this reason, that none of them

1:12:35

had a a chronic lack of sperm count in

1:12:38

round numbers.

1:12:40

And now

1:12:42

the World Health says it's about

1:12:45

17%.

1:12:46

Okay? 17% of young couples could use

1:12:48

some help today.

1:12:50

It which means that instead of, you

1:12:52

know, just trying for a week or two or

1:12:54

three or four or five or six you're

1:12:56

trying for months and months.

1:12:58

And

1:12:59

everybody knows people now who fall in

1:13:02

that category. Which is exactly what you

1:13:04

would expect if you've gone from zero to

1:13:06

17%.

1:13:07

But this is the killer. Shanna Swan

1:13:10

and my colleague and I kind of thought

1:13:12

about this thing separately and

1:13:13

independently and we

1:13:15

we worked out doesn't take a great brain

1:13:19

that in 20 to 25 years the young couple

1:13:22

will need help. I mean this is tomorrow.

1:13:25

You know this is not 200 years from now.

1:13:27

In 20 to 25 years the average young

1:13:30

couple will need help getting pregnant.

1:13:32

>> Dr. Swan's projection indicates that if

1:13:35

the current rate of decline continues

1:13:37

unchecked the medium male sperm count is

1:13:41

on track to hit zero

1:13:43

by 2045.

1:13:46

>> Wow, yeah.

1:13:49

>> [laughter]

1:13:50

>> That is

1:13:51

that means the medium couple is not

1:13:53

going to have children without a lot of

1:13:55

help.

1:13:56

>> It means half the male population will

1:13:59

have zero viable sperm and the remaining

1:14:02

half will be right on the edge of

1:14:05

functional infertility.

1:14:06

>> A few of them will still have plenty and

1:14:09

maybe 10% who are really perfectly

1:14:12

in decent condition.

1:14:13

Because there's a huge distribution

1:14:15

range today.

1:14:17

You know there are there are people

1:14:18

today who still have 200 million you

1:14:20

know better than the hunter-gatherers.

1:14:22

But it's uh

1:14:25

>> And what is causing this and how do we

1:14:27

stop it?

1:14:28

>> Shanna would say the environment around

1:14:31

you

1:14:32

of mainly plastics.

1:14:33

Plastics are leaching

1:14:36

uh toxins and the particles of plastics

1:14:38

you have in your brain and in your body

1:14:42

which we now know is quite substantial

1:14:44

are also leaching toxins.

1:14:48

And these toxins are what they call

1:14:50

endocrine disruptors. They mess with

1:14:51

your hormones.

1:14:54

You should expect them to lower your

1:14:56

fertility.

1:14:57

And yet, the people who specialize

1:15:00

in fertility problems

1:15:02

and write books about it, none of them

1:15:05

mention toxicity.

1:15:06

They mention the hundred perfectly solid

1:15:08

reasons why people are choosing

1:15:11

uh to have fewer children.

1:15:12

>> Endocrine disrupting chemicals like

1:15:14

phthalates,

1:15:16

>> Like phthalates.

1:15:17

>> which are found in cosmetics, shampoos,

1:15:18

food packaging, etc. They actively lower

1:15:21

testosterone production in male fetuses

1:15:22

during the first trimester, permanently

1:15:24

stunting reproductive reproductive

1:15:26

capacity before birth.

1:15:29

>> Yes.

1:15:29

>> BPAs, which are um what they call the

1:15:32

biphosphonates?

1:15:34

>> Yes. Something like that.

1:15:35

>> Used to make plastics hard, line tin

1:15:38

cans, and coat thermal store receipts.

1:15:41

Um they are synthetic estrogens. They

1:15:42

flood the male body with female hormones

1:15:44

and signals crashing sperm count and

1:15:46

motility.

1:15:47

PFAs, forever chemicals used in nonstick

1:15:50

pans, teflons, waterproof rain jackets,

1:15:52

and stain resisting carpets. They break

1:15:55

down in nature, accumulate in human

1:15:57

blood, and are directly linked to lower

1:15:58

sperm volume. And then the microplastics

1:16:00

you talked about, the chosen chose

1:16:02

Trojan horse. One of the shocking things

1:16:04

that I read was that it's been

1:16:05

discovered that they are physically

1:16:06

embedded in human placentas.

1:16:08

>> Yes. Isn't that amazing?

1:16:10

>> Breast milk and human testicles. And

1:16:12

there was a major study, I think we all

1:16:13

heard about in 2024, that found

1:16:15

microplastics in 100% of human

1:16:19

testicular tissues tested.

1:16:22

100%. And lastly, biological stresses.

1:16:24

So, me and you being sat down on these

1:16:26

chairs,

1:16:27

heats our testicles to a point where the

1:16:29

sperms die. Heated car seats, hot

1:16:31

laptops, they actively cook the sperm.

1:16:35

And lastly, obesity.

1:16:37

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

1:16:39

somehow slipped through the net.

1:16:41

>> Yeah.

1:16:41

>> But um

1:16:42

there is a whole other branch,

1:16:44

pesticides on your food. Now, if you

1:16:46

give me time, I'll tell you about these

1:16:48

two little studies.

1:16:50

They're very small, and you might ignore

1:16:52

them except they were done by Harvard

1:16:54

and Mass General, which is candidate for

1:16:56

the best hospital in America.

1:16:59

And, uh they had a clinic for people

1:17:02

having problem getting pregnant.

1:17:04

And, uh they they ran it out of that.

1:17:07

They had 180 men.

1:17:09

And, they got them to self-report on

1:17:11

what they were eating. Were they eating

1:17:12

the dirty dozen? Were they eating melons

1:17:15

and bananas that have lots of

1:17:17

protection?

1:17:18

At the end of uh 6 months,

1:17:22

the the guys who reported to eat the

1:17:24

least bad

1:17:25

versus the quarter that ate the worst,

1:17:28

there was a doubling of sperm count. Can

1:17:30

you believe it? At the top category, the

1:17:32

more fruit and veggies you ate, the

1:17:34

better your sperm count. In the bottom

1:17:36

quartile, the more they ate, the worse

1:17:38

their sperm count.

1:17:39

It was a dramatic result, but two to one

1:17:42

between the top and the bottom. And,

1:17:44

then 2 years later, they did a very

1:17:45

similar study with women who were having

1:17:47

trouble.

1:17:49

And, at the end of their 9 months of

1:17:51

self-reporting, the ones who ate the

1:17:53

least badly had 68% successful live

1:17:56

births, bearing in mind this was a

1:17:58

fertility clinic, and the bottom

1:18:00

quartile 38%. So, once again, nearly

1:18:03

double.

1:18:04

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

1:18:06

mean, these are really important. And,

1:18:07

this was only based on what they ate.

1:18:11

Because pesticides are full of these

1:18:14

toxins, and they are delivered straight

1:18:17

into your body. You eat the damn things.

1:18:19

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

1:18:21

You can wash some of that away, but

1:18:22

they're impregnated part of the

1:18:24

structure of the berry.

1:18:27

Berries,

1:18:28

apples, pears, peaches,

1:18:31

and finally,

1:18:32

um uh spinach uh are really bad and are

1:18:34

the top end. The bananas and the

1:18:36

oranges, and the melons are uh fine. So,

1:18:40

if you eat these damn things that

1:18:42

designed to kill our cousins, the

1:18:44

insects, and and the weeds,

1:18:47

and the funguses, why would you expect

1:18:49

them not to do a terrible job on humans?

1:18:51

And we stuff them in our system.

1:18:54

And the fetus, it turns out, is 100 to

1:18:57

1,000 times more vulnerable

1:19:00

than we are out in the out in the world.

1:19:03

For example, if your mother smokes,

1:19:05

it's going to do about the same damage

1:19:08

as if you smoked for the rest of your

1:19:09

life.

1:19:10

>> Hm. Wow.

1:19:12

>> And you think about what the fetus is

1:19:13

plugged into the system, and how it's

1:19:16

forming everything. It doesn't seem the

1:19:18

most unreasonable thing that it would be

1:19:19

much more sensitive. And there are

1:19:21

people out there

1:19:23

fussing quite reasonably about the first

1:19:25

1,000 days of life.

1:19:27

But actually, that is nothing like as

1:19:30

important

1:19:32

as the 270 days in the womb.

1:19:35

>> Atrazine.

1:19:37

Have you heard of atrazine?

1:19:38

>> have.

1:19:38

>> Atrazine, um referred to as the chemical

1:19:41

castrator. It is the second most widely

1:19:43

used herbicide in the United States,

1:19:45

sprayed heavily on things like corn and

1:19:47

sugar canes.

1:19:48

And there was this crazy study which was

1:19:50

peer-reviewed out of UC Berkeley that

1:19:53

showed exposure to atrazine at levels

1:19:56

below the EPA's considered safe for

1:19:59

drinking

1:20:01

um levels, completely chemically

1:20:03

castrated male frogs, turning 10% of

1:20:07

them into fully functional females

1:20:10

capable of laying eggs. In humans, it is

1:20:13

linked to severe drops in sperm motility

1:20:15

and testosterone.

1:20:16

>> And yet, we avoid the topic.

1:20:19

We avoid the topic because it's

1:20:21

it's pessimistic. We're not fighting the

1:20:23

data.

1:20:24

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

1:20:26

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

1:20:27

talk about bear markets.

1:20:29

We don't want to talk

1:20:31

about bad climate changes, even though

1:20:34

it's bludgeoning us. This year could be

1:20:36

the worst

1:20:38

hot year

1:20:40

in history.

1:20:41

We are set up

1:20:43

because of the accident of the El Niño

1:20:46

to have perhaps the worst droughts and

1:20:48

the hottest weather ever recorded,

1:20:51

starting about now.

1:20:53

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

1:20:54

to talk about that. We don't want to

1:20:56

talk about toxicity. We don't want to

1:20:58

talk about running out of resources. Oh,

1:21:00

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

1:21:03

never seen anything like this, this

1:21:05

fertility thing, where the data is

1:21:07

horrific. The baby bust is measurable.

1:21:11

The sperm count is one of the few things

1:21:13

you can really measure. Do they really

1:21:15

think if you have declining sperm count,

1:21:17

the future is great?

1:21:19

Do they really think that the economy

1:21:20

will function

1:21:22

if the number of 20-year-olds entering

1:21:24

the market starts to drop like a stone?

1:21:26

In Japan, you know what their

1:21:27

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

1:21:31

in 1948.

1:21:32

>> What is 50%?

1:21:32

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

1:21:37

>> 50% less 20-year-olds?

1:21:39

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

1:21:41

offer themselves for military service.

1:21:43

>> What do we do about this?

1:21:44

>> We have two things.

1:21:46

We've got to

1:21:47

detoxify the world, which is

1:21:50

intellectually easy. You ban poisonous

1:21:53

chemicals.

1:21:54

And we've made in the EU

1:21:57

pretty good start.

1:21:58

My favorite example and everybody's

1:22:00

favorite example is cosmetics.

1:22:02

Cosmetics, you don't actually eat it,

1:22:04

but you rub it on your skin, which is

1:22:05

the second worst thing to do.

1:22:08

And there are 10,000 chemicals in

1:22:10

cosmetics.

1:22:12

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

1:22:14

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

1:22:17

the battle, right? Canada's banned 550.

1:22:20

And the US has banned 12. I am not

1:22:23

kidding you.

1:22:24

So, The thing about toxicity is it is

1:22:27

regional. If one country if Denmark or

1:22:30

the EU or the UK wants to look after its

1:22:32

chemicals, they will live longer and

1:22:34

have better health. If the US wants to

1:22:37

put the corporations first, they will

1:22:39

have shorter lives. Do you know the life

1:22:41

expectancy difference between the US and

1:22:44

Sweden has gone from 2 years to 6 years

1:22:46

in the last 70 years?

1:22:48

I wrote in my quarterly letter my estate

1:22:50

would be willing to bet you that in 50

1:22:52

years it'll be 8 or 10.

1:22:54

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

1:22:55

States realize the difference in the

1:22:59

products they consume here versus other

1:23:01

parts of the world. And you know,

1:23:03

>> No, absolutely not.

1:23:04

>> Brits fly over here and actually we had

1:23:06

my my barber my my barber Damon and he

1:23:08

flew over here to give me a haircut last

1:23:09

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

1:23:11

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

1:23:12

food here and I really just don't feel

1:23:14

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

1:23:15

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

1:23:16

my team we used to fly over here before

1:23:18

I moved here for a couple of weeks a

1:23:19

year to film the show and whenever we'd

1:23:21

fly back not only would I be much

1:23:22

fatter, um but we'd all feel a little

1:23:24

bit more like sluggish, is the way I'd

1:23:26

describe it, from eating the food here.

1:23:28

And it almost felt quite clear that

1:23:29

there's like something in the food that

1:23:31

our bodies

1:23:32

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

1:23:34

you look at the toxicity of the United

1:23:37

States versus Europe, it's quite clear.

1:23:40

I mean, the US currently permits the use

1:23:41

of 85 agricultural pesticides that are

1:23:44

completely banned in the EU, China and

1:23:47

Brazil. The US sprays over 300 million

1:23:51

pounds per year of pesticides that are

1:23:53

deemed too dangerous to be legally used

1:23:55

in Europe, including that one I said

1:23:58

about the frog's called atrazine.

1:24:00

>> atrazine

1:24:01

>> Which the EU banned over two decades

1:24:03

ago. We look at cosmetics, which you

1:24:05

were talking about then, what you put on

1:24:07

your skin obviously goes into your

1:24:08

bloodstream and so the EU has banned or

1:24:10

heavily restricted over 1,300 chemicals

1:24:13

in cosmetics and personal care products

1:24:15

due to toxicity and hormone disruption.

1:24:18

The US and the FDA has banned 11. In

1:24:21

terms of food, the US allows potassium

1:24:23

bromate, which is a known carcinogen,

1:24:26

cancer-causing, used to make fluffy

1:24:28

dough bread, and BHA

1:24:31

{um} / BHT, which are preservatives

1:24:33

linked to hormone disruption. Both are

1:24:35

strictly banned from human consumption

1:24:37

in the UK and EU and Canada and China.

1:24:39

And lastly, the US {um} allows titanium

1:24:43

dioxide, used to make candy smell like

1:24:45

Skittles bright white,

1:24:47

and synthetic dyes like red 40, which

1:24:49

require strict warning labels or

1:24:52

outright bans in Europe due to DNA

1:24:54

damage and neurodevelopmental issues in

1:24:57

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

1:24:59

US Geological Survey found that at least

1:25:02

45% of all US tap water is contaminated

1:25:06

with PFAs, those forever chemicals we

1:25:08

talked about earlier, the very chemicals

1:25:10

directly linked to crashing sperm counts

1:25:12

and testicular cancer. The US has

1:25:14

historically allowed PFAs levels in

1:25:17

drinking water

1:25:19

drastically higher than the EU, the

1:25:21

United the European Union

1:25:23

considers safe.

1:25:24

>> Let us just say that the EU is forever

1:25:27

giving exemptions and extensions and is

1:25:30

far from perfect and has a lot of

1:25:32

corporate pushback. And uh it's just

1:25:34

much less bad than the US.

1:25:37

>> And the US has worse life expectancy.

1:25:39

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

1:25:41

in the world where 15 years ago they had

1:25:44

the same life expectancy as they have

1:25:45

today.

1:25:46

>> One um actionable piece of advice for

1:25:48

anyone listening that might find this

1:25:50

all quite um

1:25:52

overwhelming cuz you know, lots of

1:25:54

things around us from receipts to the

1:25:56

pans we use to

1:25:57

range jackets contain these chemicals,

1:26:00

is there are apps out there

1:26:02

where you can scan the chemicals in the

1:26:05

foods that you're buying to check if

1:26:07

they contain these endocrine disrupting

1:26:09

these hormone disrupting chemicals. I'm

1:26:11

not affiliated [clears throat] with any

1:26:12

of them, but there's one called Yuka,

1:26:14

YUKA, that I know is very easy for sort

1:26:17

of everyday scanning of products. You

1:26:18

can just scan the barcode and it'll tell

1:26:20

you it'll give it a rating score out of

1:26:21

100. There's EWG's Healthy Living

1:26:25

um app which is the scientific gold

1:26:26

standard run by the Environmental

1:26:28

Working Group a major toxic chemical

1:26:30

watchdog. You can scan barcodes or

1:26:31

search for food, cleaning supplies or

1:26:33

cosmetics. There's Think Dirty as well

1:26:35

which is great for cosmetic shampoos and

1:26:37

skin care. It exposes the toxic truth

1:26:39

hiding in beauty products. Um and then

1:26:41

there's Clear Ya which is Clear Ya. Best

1:26:44

for online shopping. It's an app in your

1:26:46

web browser and instead of scanning

1:26:48

barcodes in your house

1:26:50

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

1:26:51

you add a say like a shampoo or lotion

1:26:53

to your Amazon or Target or Walmart

1:26:54

basket, it automatically pops up with an

1:26:57

alert telling you about the ingredients

1:26:59

list that is within those chemicals. But

1:27:01

but I think that gives something a

1:27:03

little bit actual and arms you with at

1:27:05

least a tool to navigate this crazy

1:27:06

environment. And obviously AI is great

1:27:07

at this as well. You can take pictures

1:27:08

of things and ask it questions.

1:27:10

>> And what we really need is a kind of

1:27:11

green Amazon where everything is

1:27:13

guaranteed food, bed, clothes,

1:27:16

everything.

1:27:18

And that would be very handy indeed.

1:27:20

Someone you could trust that would

1:27:22

absolutely guarantee the whole line of

1:27:24

products that you would order. Not

1:27:26

impossible and I think done well and

1:27:28

someone could make money at it.

1:27:30

>> What would advice would you give to your

1:27:31

kids on a personal level if they're

1:27:32

trying to stay healthy in a toxic world?

1:27:35

>> Simple advice and I know you like this

1:27:38

is pregnant women are much more

1:27:40

important than anybody else in this

1:27:42

field.

1:27:43

If you could persuade pregnant women A

1:27:46

to have no cosmetics, save a lot of

1:27:47

money, no cosmetics for 9 months and

1:27:50

then B invest some of that money from

1:27:52

your cosmetics or all of it in buying

1:27:55

organic berries if you have to have

1:27:58

berries, apples, oranges, peaches

1:28:01

what they call the dirty dozen here.

1:28:03

If you did that

1:28:05

I think as much as half of all the

1:28:07

trouble disappears.

1:28:09

And that's a huge fraction and it's

1:28:11

easily acquired.

1:28:13

You know, I I I addressing the 100

1:28:15

things around in your environment, you

1:28:17

have to get to that.

1:28:19

Typically, if you're lucky, you do one

1:28:21

thing after another. You get the gas

1:28:22

stove first, which is really noxious,

1:28:25

and then you work your way the black

1:28:27

plastics, the Teflon frying pan. You

1:28:30

work your way around it. Compared to

1:28:32

that,

1:28:33

no cosmetics, no bad food,

1:28:38

or make it organic. That's a piece of

1:28:41

cake. That is easy. It will save you

1:28:44

huge amount that you will never

1:28:45

appreciate because you'll never know how

1:28:47

much better your children are than they

1:28:49

would have been.

1:28:50

>> Mhm.

1:28:51

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

1:28:53

way.

1:28:54

For women, you know, you're talking

1:28:56

about in particular because of the eggs,

1:28:59

they are Every egg is all there in the

1:29:01

womb.

1:29:03

And then it goes on to your

1:29:04

grandchildren, we thought. At least we

1:29:07

could prove two generations. And and and

1:29:09

a recent study suggests it might be many

1:29:11

more generations than two. So, you got

1:29:15

some of these chemicals

1:29:16

impregnated in your system, and your

1:29:18

children pay the price, and your

1:29:20

grandchildren, and perhaps even

1:29:23

quite a few generations after that.

1:29:26

>> I also think it would be great if

1:29:28

Western governments around the world

1:29:30

made the costs of

1:29:32

both child care and but also fertility

1:29:36

treatments

1:29:37

significantly lower.

1:29:39

>> And they will, of course.

1:29:40

>> You know, I had a couple of

1:29:41

conversations on this podcast with very

1:29:43

successful women, including Ronda

1:29:44

Rousey, who was in tears because she was

1:29:46

on a

1:29:48

I think it's her [laughter] fifth or

1:29:49

sixth round of IVF treatments, and she

1:29:51

just found out just before she walked

1:29:52

into the studio that it hadn't gone

1:29:54

well.

1:29:55

And watching her cry

1:29:56

about it and get very emotional meant

1:29:58

that that that day I walked out of this

1:30:00

room and like called a lot of the people

1:30:01

in my life that I know are

1:30:03

you know, in the region where fertility

1:30:05

starts to decline, and really encourage

1:30:08

them to start thinking if they if that's

1:30:10

what they want in their lives about

1:30:11

family planning, which is like getting

1:30:13

your eggs frozen or your embryos frozen.

1:30:15

And me and my partner actually went and

1:30:16

did it. We got our embryos frozen, which

1:30:19

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

1:30:20

both expensive, extremely expensive,

1:30:23

especially here in the United States,

1:30:25

and difficult.

1:30:26

>> And psychologically destructive. Brutal.

1:30:28

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

1:30:32

a couple of weeks injecting her with

1:30:33

with this this these chemicals and the

1:30:36

the hormonal roller coaster that she had

1:30:38

to deal with and all of that, but for us

1:30:42

the alternative was worse,

1:30:44

which was never being able to have

1:30:45

children because it's difficult and

1:30:47

there's all these toxins in our

1:30:48

environment and and so on and so forth.

1:30:51

And so I then became a little bit of a I

1:30:52

guess a bit of a bit preachy within my

1:30:54

within the people the people in my life

1:30:55

that I love a lot about family planning

1:30:58

cuz we kind of all thought we could just

1:30:59

think about it later.

1:31:01

We're all kind of 35 and we thought,

1:31:02

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

1:31:04

Um but it turns out not to be the case

1:31:06

for many people.

1:31:07

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

1:31:09

an important question. What do we have

1:31:11

to do? And I said we have to detoxify

1:31:13

the system and then we both got off into

1:31:15

this frenzy of of attacking chemicals,

1:31:19

which we should anyway, but it's

1:31:20

intellectually easy. Ban the suckers,

1:31:23

okay? Now, putting pressure on the

1:31:25

corporations to back off so the

1:31:27

governments can do it would be a good

1:31:30

idea, not easy. Corporations have

1:31:32

enormous power, unprecedented power in

1:31:34

the US,

1:31:35

but but very substantial power in the in

1:31:38

the EU and the UK also. But we have to

1:31:41

get them to back off. We have to start

1:31:43

banning these damn things, otherwise no

1:31:46

children. But secondly,

1:31:48

and much more difficult,

1:31:50

is we have to detoxify capitalism.

1:31:53

We have to slowly but surely

1:31:56

turn our capitalist societal norms into

1:32:00

much more family-friendly,

1:32:02

children-friendly.

1:32:04

Over the next several generations,

1:32:06

we have to end up with a society that

1:32:09

realizes that 2.1 healthy, well-educated

1:32:13

children is a part of the commons. You

1:32:15

may not have any children.

1:32:16

>> you mean by that, sorry? 2.1?

1:32:18

>> 2.1 is the number of children it takes

1:32:20

for a rich society to have a steady

1:32:23

population.

1:32:24

>> Per couple?

1:32:25

>> Per couple. If you have less than 2.1

1:32:27

per couple,

1:32:29

you fairly rapidly go out of business.

1:32:30

If you have more than 2.1, you fairly

1:32:33

rapidly end up with so many people

1:32:35

you're standing on each other's

1:32:37

shoulder. The commons are things like

1:32:39

common land in the old days that anyone

1:32:43

could put their sheep on. And what

1:32:44

tended to happen is everyone put more

1:32:46

sheep than they could stand, and they

1:32:48

pretty soon it was

1:32:49

it had no grass on it. Known as the

1:32:51

tragedy of the commons.

1:32:53

And

1:32:55

we all need

1:32:57

clean air,

1:32:59

clean water,

1:33:01

fertile soil,

1:33:03

and 2.1 healthy, well-educated children.

1:33:06

Without any of those, society fails.

1:33:09

All of them have to be treated as group

1:33:12

responsibility. So, the whole society,

1:33:15

the whole village

1:33:17

has to be in a way like a kibbutz

1:33:19

eventually. You have to put everything

1:33:21

behind making it doable

1:33:24

to have children because the long list

1:33:26

of economic and social reasons, as well

1:33:29

as toxin reasons, why people can't have

1:33:32

2.1 children is getting so long and so

1:33:34

dangerous. And nothing yet has worked. I

1:33:38

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

1:33:40

different things around the world.

1:33:42

Several percentage points of GDP in one

1:33:44

or two cases.

1:33:46

And nothing yet has

1:33:49

seemed seen a permanent uptick in in

1:33:53

baby production.

1:33:54

>> For the average person listening right

1:33:56

now, Dave who drives a taxi or Jenny who

1:33:58

works as a receptionist or um Clive who

1:34:01

is a nurse,

1:34:03

what is the most important thing we

1:34:05

haven't talked about that we should have

1:34:06

talked about as it pertains to their

1:34:08

life today?

1:34:10

>> I think they have to brace themselves

1:34:13

for a tougher times ahead

1:34:15

than they would have they expected.

1:34:18

And they're beginning to get the point.

1:34:20

Life for the last 10 or 20 years has

1:34:22

been tougher than than they perhaps

1:34:25

expected as children or or than other

1:34:27

people expected for them.

1:34:29

Part of that is politics. Part of that

1:34:33

is equality. But the net effect of them

1:34:35

is times are tougher. It is more

1:34:39

difficult

1:34:40

to buy a house or afford to rent.

1:34:43

And and jobs are getting scarcer.

1:34:47

It's likely to get worse.

1:34:49

>> What does brace yourself mean for them?

1:34:51

Cuz brace yourself sounds like you

1:34:54

But does it mean

1:34:55

>> Plan your life as if times will not be

1:34:57

easy.

1:34:58

>> Okay.

1:34:59

>> And do not

1:35:00

build up a little reserve of of cash.

1:35:03

Of course my advice to

1:35:06

other people is and and get yourself a

1:35:09

useful job. Something that will in a

1:35:12

larger sense pull your weight in

1:35:14

society.

1:35:15

>> Upskill, change skills, learn something

1:35:18

>> mechanical

1:35:19

fixing, repairing

1:35:21

>> Things that

1:35:21

>> engineering

1:35:22

>> Things that will need humans.

1:35:23

>> And and research, science in general.

1:35:25

>> Make friends.

1:35:27

>> Make friends.

1:35:28

Make sure you're living in in a a tight

1:35:31

society if you can. Very difficult

1:35:33

today, obviously.

1:35:34

>> Would you be thinking about the country

1:35:36

you live in at this moment in time?

1:35:37

>> Absolutely.

1:35:38

>> Really? Is there any countries you

1:35:39

wouldn't live in?

1:35:41

>> [sighs and gasps]

1:35:42

>> If you were Dave or Jenny?

1:35:43

>> I I think I have to refuse to answer

1:35:46

this on the grounds that it might tend

1:35:47

to incriminate me.

1:35:48

Um

1:35:49

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

1:35:50

the United States?

1:35:52

>> Well, I have

1:35:53

American children and grandchildren.

1:35:56

>> Why not the United States?

1:35:57

>> It holds out too much chance that the

1:36:00

social contract is

1:36:01

is

1:36:02

>> [snorts]

1:36:02

>> dissolving.

1:36:04

You know, the thing about Japan and that

1:36:06

my joking rule 21 in investing is never

1:36:08

extrapolate from the Japanese. They are

1:36:10

extremely different in every way.

1:36:13

But one of the ways they're different is

1:36:14

they have this amazing social contract.

1:36:17

The thing that really upsets the

1:36:19

Japanese is if they're put in a position

1:36:21

where they can't act in a socially

1:36:23

responsible way.

1:36:24

>> When you say social contract, what does

1:36:26

that mean?

1:36:26

>> It means an agreement that I will behave

1:36:29

in a way that helps my neighbors and the

1:36:31

society that I'm doing what people

1:36:33

expect me to do. I'm not going to

1:36:35

misbehave.

1:36:36

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

1:36:37

in the United States?

1:36:38

>> I think the case here is that people are

1:36:40

doing what they think is best for them

1:36:42

and their family and screw everybody

1:36:44

else, really.

1:36:46

When I arrived in America, corporations

1:36:47

had this sense that they owed something

1:36:50

to the community they operated in, the

1:36:52

city they operated in. They They'd build

1:36:55

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

1:36:57

they'd be part of the community.

1:37:00

Now they're not. They're all

1:37:03

in a way cold-blooded, profit-maximizing

1:37:05

international enterprises.

1:37:07

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

1:37:09

you're saying, you know, you probably

1:37:10

wouldn't recommend Dave or Jenny living

1:37:12

in the United States. Why would that be

1:37:14

a bad place for them to be? What

1:37:15

happens? What's the What's the

1:37:16

downstream impact of that?

1:37:18

>> That your neighbors aren't as interested

1:37:20

in you and your well-being.

1:37:21

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

1:37:23

neighbor.

1:37:24

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

1:37:26

when you're in trouble,

1:37:28

you're in

1:37:30

serious trouble.

1:37:31

Uh because the safety net here is very

1:37:34

ineffective. There's a a measure that I

1:37:36

think is probably the single most

1:37:38

important measure of civilization, and

1:37:40

that is maternal mortality. How many

1:37:43

people die in childbirth? You know, in

1:37:45

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

1:37:49

or take.

1:37:50

And uh

1:37:52

in America, in in the

1:37:55

black population,

1:37:57

it's uh 44.

1:37:59

In the whole population, it's like 21 or

1:38:03

20.

1:38:04

Curiously, in the

1:38:07

American Asian population, it's 13.

1:38:10

And then, you go down the list,

1:38:13

and in Britain, it's five.

1:38:17

In Germany, it's four.

1:38:19

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

1:38:22

zero. There were no mothers who died

1:38:24

last year.

1:38:25

>> Hm.

1:38:25

>> Or the year before. What better

1:38:27

definition of civilization than looking

1:38:30

after the mothers giving birth? How is

1:38:32

it possible that a country

1:38:36

more or less the richest in the world,

1:38:39

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

1:38:41

the rich world, it's that

1:38:44

they are 50% worse than the next worst.

1:38:48

50% more mothers die here than in the

1:38:51

second worst country in the developed

1:38:53

world. How is that possible? The answer

1:38:55

is it happens.

1:38:57

And um it's because

1:39:00

the inequality is so extreme in the

1:39:02

medical system

1:39:04

that if you don't have lots of money,

1:39:05

you're quite likely to die in

1:39:06

childbirth. I mean,

1:39:08

Now, of course, the numbers are not

1:39:09

huge. 20 out of 100,000 is not uh

1:39:13

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

1:39:15

>> It's a sign of something.

1:39:17

It's a sign of something else as well.

1:39:19

>> It's a sign of whether people are

1:39:21

It's a sign of the social contract.

1:39:22

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

1:39:24

if not here?

1:39:25

>> Denmark, Japan.

1:39:28

Uh even France, Germany. The UK has a

1:39:32

little bit of the American disease, but

1:39:35

not nearly as much.

1:39:36

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

1:39:38

"Dad, we're thinking of uh leaving the

1:39:39

United States. Should I move?

1:39:41

Should I Should I move out of the United

1:39:43

States?

1:39:44

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

1:39:46

reasonable thing to consider.

1:39:49

And where are you going and why and

1:39:51

what's your

1:39:52

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

1:39:54

>> Well,

1:39:55

if they'll have you. Uh

1:39:57

No, uh

1:39:59

in the things that really matter, life

1:40:01

expectancy, health,

1:40:04

safety nets,

1:40:05

uh murder rates,

1:40:07

uh mortality rates,

1:40:10

and everything that really matters, yes,

1:40:12

they're they're day and night better.

1:40:15

In the things that don't really matter,

1:40:16

but look really splashy,

1:40:18

we have enormous quantities of uh wealth

1:40:21

created

1:40:22

that go to a relatively small fraction

1:40:24

of the people.

1:40:26

And that dazzles in terms of the average

1:40:28

because

1:40:30

um that's how the numbers work.

1:40:33

If you look at how well-off the bottom

1:40:35

quartile are,

1:40:37

America doesn't score well at all.

1:40:40

>> Jeremy, we have a closing tradition

1:40:42

where the last guest leaves a question

1:40:43

for the next guest not knowing who

1:40:44

they're leaving it for. The question

1:40:45

left for you is, if you could not fail,

1:40:49

what would your next goal be

1:40:52

that you would set for yourself?

1:40:55

>> There There was a book written

1:40:57

in the 1960s called Silent Spring.

1:41:01

Carl Carson, I think her name was.

1:41:03

And it changed for a quite a number of

1:41:05

years it it it did what books never do

1:41:08

really it

1:41:10

it uh became a political monster and

1:41:13

everyone studied it and it had an

1:41:15

effect. It changed the game.

1:41:17

I would uh like to write something about

1:41:22

toxicity and and social contract really.

1:41:25

Particularly nurturing a family. We

1:41:27

We've got to find in the end a community

1:41:30

that encourages children. The downside

1:41:33

of the

1:41:34

brutally efficient capitalist system

1:41:36

that we have. It's focus on

1:41:39

financial achievement and so on.

1:41:42

And

1:41:43

very little emphasis on community and

1:41:46

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

1:41:48

we fail as a society pretty quickly. We

1:41:51

have to detoxify. We have to encourage

1:41:55

to create an environment where people

1:41:57

want to have children.

1:41:59

>> [clears throat]

1:41:59

>> If I could write a book

1:42:01

that would be

1:42:03

would would pull a silent spring, I

1:42:04

would sit down tomorrow and start it.

1:42:07

>> The making of a Parma bear.

1:42:10

>> Parma should be in inverted commas,

1:42:12

really.

1:42:13

>> The perils of long-term investing in a

1:42:15

short-term world.

1:42:19

By Jeremy Grantham and Edward

1:42:21

Chancellor.

1:42:23

Who is this book for?

1:42:24

>> Oh, people who have a interest in the

1:42:26

stock market. It has a little bit of

1:42:28

climate change and toxicity.

1:42:31

My my co-rider is a professional and he

1:42:33

tried to limit me quite sensibly.

1:42:36

Feeling that our main market was

1:42:37

investors who would be turned off by too

1:42:40

much of the stuff we've been talking

1:42:42

about.

1:42:43

>> You cover things also like economics,

1:42:46

value investing, being a bear, and

1:42:47

predicting a bubble, and what to do

1:42:48

about all of those things. But it's

1:42:50

really a useful counterintuitive not

1:42:52

counterintuitive, but it's a it's a

1:42:54

frame of thinking that will help you be

1:42:56

more realistic especially when

1:42:57

psychology is prone to take over and

1:42:59

make you wildly recklessly optimistic.

1:43:02

>> And and be more confident in your

1:43:04

judgment.

1:43:06

Big big companies cannot advise you.

1:43:10

It's just suicidal for their business.

1:43:12

So you are on your own. Look at the

1:43:15

data. A bubble is not hard to see. There

1:43:18

is this kind of plane and then there's a

1:43:20

Himalayan peak

1:43:22

which eventually goes back.

1:43:24

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

1:43:25

seeing.

1:43:25

>> That's exactly what history looks like.

1:43:29

Have the courage to look at that, make

1:43:31

your own conclusion, get out of the

1:43:33

dangerous most dangerous part,

1:43:36

and and do it now.

1:43:38

Don't wait for help because no help is

1:43:40

coming.

1:43:43

Large enterprises almost never get the

1:43:46

big turning points

1:43:48

because they can't take the career risk

1:43:50

involved.

1:43:51

And every big corporation needs a leader

1:43:53

who has political skills.

1:43:56

And the And the central political skill

1:43:57

in life turns out to be never be wrong

1:44:00

on your own.

1:44:02

This is again Keynes.

1:44:04

You know, you can be wrong in company,

1:44:06

you can jump off the cliff together, you

1:44:08

will never lose your job because of

1:44:09

that.

1:44:11

But if you do anything on your own,

1:44:12

sooner or later you will get it wrong.

1:44:15

And quote, you will not receive much

1:44:17

mercy.

1:44:19

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

1:44:22

all that you do. Um you traverse so many

1:44:23

subjects. It's It's absolutely

1:44:25

fascinating and you You've made me think

1:44:27

about so many things. I've actually

1:44:28

written down a bunch of ideas. You sent

1:44:29

me taking some photos then. Those are

1:44:31

actually ideas that I want to remember.

1:44:33

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

1:44:35

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

1:44:37

you were saying and then I was like I

1:44:37

need to remember that later for a bunch

1:44:39

of things, businesses, friends, family,

1:44:41

etc.

1:44:42

Um and I think that's the testament to

1:44:44

how broad and curious and wise you are.

1:44:46

>> Going back to question one or two, the

1:44:49

billionaire bit,

1:44:50

uh sometime around the end of this year

1:44:52

we will actually have written checks for

1:44:54

a billion dollars

1:44:56

to the climate change world.

1:44:58

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

1:44:59

you know this particular moment in time

1:45:01

because of the politics, climate change

1:45:02

is a subject that's falling off the

1:45:03

radar.

1:45:04

>> It is.

1:45:05

>> Uh it's

1:45:06

being mentioned less in earnings calls.

1:45:07

It's

1:45:07

>> But this year will be so disgustingly

1:45:09

hot from now on, I suspect.

1:45:11

>> Disgustingly hot.

1:45:12

>> Hot. We could have from now on the

1:45:14

hottest 12 months from now to this time

1:45:16

next year that we have ever had in

1:45:18

history.

1:45:20

Here, there, and everywhere.

1:45:21

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

1:45:22

yours

1:45:23

um lending their ideas and wisdom to

1:45:25

these conversations and it's been an

1:45:26

honor and a privilege to to you. Your

1:45:28

book, The Making of a Manager, Baron, to

1:45:29

link it below

1:45:31

for everyone to buy it themselves.

1:45:33

Jeremy, thank you. YouTube have this new

1:45:35

crazy algorithm where they know exactly

1:45:37

what video you would like to watch next

1:45:39

based on AI and all of your viewing

1:45:41

behavior. And the algorithm says that

1:45:43

this video is the perfect video for you.

1:45:46

It's different for everybody looking

1:45:47

right now. Check this video out, and I

1:45:49

bet you you might love it.

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