HomeVideos

Peter Thiel: The Coming Collapse No One Is Prepared For

Now Playing

Peter Thiel: The Coming Collapse No One Is Prepared For

Transcript

1173 segments

0:00

Peter was the person who told me this

0:02

really pithy

0:05

quote in a world that's changing so

0:08

quickly the biggest risk you can take is

0:10

not taking any risk this guy is a tough

0:13

nut to try to sort of explain changed

0:16

money with PayPal was the first outside

0:18

investor in Facebook uh back paler which

0:21

is I believe they helped find Osama Bin

0:23

Laden almost certainly the most

0:25

successful technology investor in the

0:28

world I don't think the future is fixed

0:31

I think what matters is a question of

0:32

agency what I think works really well

0:36

are sort of oneof A- kind companies how

0:39

do you get from Z to one what great

0:41

business is nobody building tell me

0:42

something that's true that nobody agrees

0:44

with you

0:45

on all right Peter welcome back it's

0:48

good to see

0:49

[Applause]

0:51

you

0:53

um you don't do this too often uh so we

0:56

do appreciate it U but when you do do it

0:58

you're always super candid and

1:00

appreciate that as well you fit right in

1:01

here um you're sitting this year's

1:04

political cycle out right politics well

1:08

no I mean I think this is a question we

1:10

all have which is you were very active

1:13

um you bet on Jed in a major way um he

1:17

delivered today it was a very impressive

1:18

uh discussion why aren't you involved

1:21

this this cycle where it's very

1:23

confounding to us because these are your

1:24

guys man how much time do we have

1:26

supposed talk about this for two hours

1:28

or something um um I I don't know look I

1:32

have a lot of conflicted thoughts on it

1:34

uh I I am still very strongly prot Trump

1:39

Pro uh Pro JD I've decided not to uh

1:43

donate any money politically but uh I'm

1:45

supporting them in every other way uh

1:48

every other way possible uh I you know

1:51

uh obviously uh you know I think uh I

1:56

think

1:57

there's my my pessimistic thought is

1:59

that uh Trump is is going to win and

2:02

probably will win by a big margin uh

2:05

he'll do better than the last time and

2:08

it'll still be really disappointing

2:09

because you know the elections are

2:11

always a relative Choice and then once

2:13

someone's president it's an absolute and

2:16

they you get evaluated you know do you

2:17

like Trump or Harris better and that

2:20

seems there seem to be a lot of reasons

2:22

you know and that one would be more

2:24

anti-h haris than anti-trump let's again

2:26

no one's Pro any of these people it's

2:28

all it's all negative right um and uh

2:31

but then after after they win there will

2:33

be a lot of buyers remorse and

2:35

disappointment that's sort of that's

2:36

sort of the arc that I I see of what's

2:38

going to happen and it's it's somewhat

2:40

under motivating um I don't know just to

2:42

describe describe it I I think you know

2:45

I think it's I think the odds are

2:47

slightly in favor of trump but it's

2:48

basically

2:49

5050 um my one contrarian view on the

2:52

election is that it's not going to be

2:53

close un you know most presidential

2:55

elections aren't and uh you know one

2:57

side just breaks you know 20 2016 2020

3:00

we super close but two-thirds of the

3:02

elections aren't and you know you can't

3:03

always line things up and figure it out

3:06

I think either the you know the comma

3:07

bubble will burst or you know maybe

3:09

maybe the Trump voters get really

3:11

demotivated and don't show up but I

3:12

think you know one side is is simply

3:14

going to collapse in the next uh in the

3:16

next two months and then you know if you

3:18

want to get involved you know with all

3:20

the headaches that come with being

3:21

involved if it makes a difference

3:23

counterfactually and if it's a really

3:25

close election everything makes a

3:26

difference if it's if it's not even

3:28

close I don't think it makes much of a

3:29

difference if if it is going to be close

3:31

by the way if it's if it's like going to

3:33

be a razor thin close election then um

3:35

then I'm pretty sure KLA will win

3:37

because um because they will cheat they

3:39

will fortify it they will steal the

3:41

ballots and so so uh so you know if we

3:45

if we can if we can if we can and so

3:47

then in the event in the event that it's

3:50

close I don't want to be involved in the

3:52

event that it's not close I don't need

3:54

to be involved and so that's sort of

3:56

that's sort of a straightforward analis

3:57

right there jumping off point much

4:00

cheating on a percentage basis do you

4:02

think happens every year how much and do

4:05

you think Trump actually careful with

4:07

the verb so you know um cheating

4:10

stealing that implies something happened

4:12

the dark night I think the verb you're

4:14

allowed to use is fortify okay yeah we

4:17

don't want get canell on YouTube ballot

4:19

harvesting I mean it was you know it's

4:21

all sort of there were all these rule

4:22

changes it was sort of done in plain

4:24

daylight and uh um but yeah I think I

4:27

think our elections are not they're not

4:29

perfectly clean otherwise we could

4:31

examine it we could have vigorous debate

4:33

about it well what would you change then

4:34

what what should change cuz we all want

4:36

everybody's votes to count we want it to

4:38

be clean um I'm I'm talking about the

4:41

audience here I know at a minimum you

4:43

you'd run them you'd try to run

4:44

elections the same way you do it in

4:46

every other Western democracy you have

4:47

one day voting you have practically no

4:50

absentee ballots um you have um and um

4:55

and it's you know it's it's it's it's

4:57

it's one day where everything happens

4:59

it's not this uh two two-month elongated

5:02

process that's what the way you do it in

5:04

every other country you you'd have you'd

5:05

have some somewhat stronger voter ID and

5:09

you know make sure that you know the

5:11

people who are voting have a right to

5:12

vote um make it a national holiday

5:15

that's that's basically that's basically

5:17

what you do in every other Western

5:18

democracy and it's it's it and it used

5:20

to be much more like that in the US I

5:21

mean it's it's it's meaningfully decayed

5:23

over the last 20 30 years you 20 30

5:26

years ago 30 40 years ago you you got

5:28

the results on the day of of the vote

5:30

and that sort of stopped happening a

5:32

while ago what would make you not

5:34

disappointed so Trump gets elected how

5:37

do you what's your counternarrative on

5:40

you know where a year or two years past

5:43

the election Trump is president what

5:45

what makes you say I'm surprisingly not

5:47

disappointed what takes place man it's

5:52

um you know it's I I I think there are

5:55

some extremely difficult problems that

5:57

it's it's it's really hard to know how

5:59

how to how how to solve them I wouldn't

6:01

know what to do but uh we have you know

6:03

we have an incre incredibly big deficit

6:07

and uh and yeah if you can if you can

6:11

find some way to meaningfully reduce the

6:13

deficit with no tax hikes and without

6:16

without GDP contraction well you you

6:19

would do it if you got a lot of GDP

6:21

growth maybe right but um if you could

6:23

if you could meaningfully reduce the

6:24

deficit with with um with no with no tax

6:28

hikes that would be that would be very

6:30

impressive you know I I think we're sort

6:32

of sleepwalking into Armageddon with uh

6:35

you know the Ukraine and um the conflict

6:38

and Gau are just sort of the warm-ups to

6:40

the China Taiwan war and uh and so if uh

6:45

if if Trump can find a way to head that

6:47

off that would be incredible if they

6:49

don't go to war in four years that that

6:50

would be that would be better than I

6:52

would expect possibly in relation to

6:54

Taiwan if Trump called you and asked

6:56

should we defend it or not in this acute

6:59

case

7:00

would you advise to let Taiwan be taken

7:03

by China in order to avoid a nuclear

7:07

Holocaust in World War II or would you

7:10

believe that we should defend it and

7:11

defend free countries like that well I I

7:14

I think um I think you're probably not

7:17

supposed to

7:18

say no no no if you no if you um you I I

7:23

I think look I think there's so many

7:24

ways our our policies are messed up but

7:26

probably you know the one the one thing

7:29

that's roughly correct on the Taiwan

7:31

policy is that uh uh we don't tell China

7:34

what we're going to do um and what we

7:36

tell them is we don't know what we'll do

7:38

and we'll figure it out when you do it

7:39

which is probably has the virtue of

7:41

being correct and uh and then I think if

7:43

you had yeah if you had a red line at

7:45

quoy Matsu the the island you know five

7:48

miles off the coast of China that's

7:50

unbelievable if you um if you um if you

7:53

say we want some guard rails and we

7:55

won't defend Taiwan then they'd get

7:57

invaded right away so I think I think I

7:59

think policy of um not say policy is and

8:04

maybe not even having a policy you know

8:07

in some ways is relatively the best I I

8:09

I think anything anything anything

8:11

precise you say that's going to just

8:13

lead to war right away but what do you

8:15

believe I um worth defending or not

8:18

worth starting the conflict democracy in

8:20

this tiny Island worth going to war over

8:23

or not according to Peter teal it's um

8:26

it's not worth uh it's not worth World

8:28

War III

8:29

um and I I still think it's it's uh

8:32

quite catastrophic if it uh if it gets

8:35

taken over by the Communists how does

8:36

the world those can both be true how

8:37

does the world

8:38

divide if we end up in a heightened

8:42

escalation is China Russia Iran friends

8:46

is that an Alli is that an axis that

8:48

forms you know think out the next decade

8:51

in kind of your base case and I don't

8:53

know what happens how the world I don't

8:55

know what happens militarily if there's

8:57

a China Taiwan Invasion I mean may maybe

9:00

we roll over maybe it

9:02

escalates you know all the way to

9:04

nuclear war probably it's it's you know

9:07

some very messy in between thing sort of

9:10

like what what you have in in the

9:11

Ukraine uh what what I think happens

9:13

economically is very straight forward I

9:15

think uh I think basically um you know

9:18

you have with Russia and Germany you had

9:20

one northstream Pipeline and we have the

9:23

equivalent of a 100 pipelines between

9:25

the US and China and they they all blow

9:27

up you I I met the tick tock CEO about

9:30

about a year ago and um you know I not

9:33

maybe I wouldn't have said this now but

9:35

what I told him and I felt was very

9:37

honest advice was you know you don't

9:39

need to worry about the us we're never

9:41

going to do anything about Tik Tok we're

9:42

too incompetent um but um but but if I

9:46

were in your place I would still get the

9:48

business out of China I would get the

9:50

computers out the people out I'd

9:51

completely decouple it from bike Dan

9:54

because um Tik Tok will be banned 24

9:57

hours after the Taiwan invasion

10:00

and if you think there's a 50/50 chance

10:02

this happens and that will destroy you

10:04

know 100% of the value of the Tik Tok

10:07

franchise what was his reaction

10:09

um you know uh he said that they had

10:12

done a lot of simulations and the bunch

10:15

of companies in World War I and World

10:16

War II that managed to sell things to

10:18

both sides he doesn't seem so bright to

10:20

me do you think he's um he no he donly

10:23

what your take on him he he didn't

10:25

disagree with my frame and so I always I

10:27

always find that flattering if someone

10:28

basically framing so he seemed he seemed

10:31

perfectly bright to me even

10:35

though lot of bright people I saw you

10:37

give this I saw you give a talk last

10:39

summer with Barry Weiss and you talked

10:41

about this decoupling should be

10:43

happening you weren't saying should you

10:45

were recommending that every industry

10:47

leader consider decoupling from China I

10:50

think your comment was it's like picking

10:51

up nickels in front of a freight train

10:53

you remember saying that the well I I I

10:57

think like it's it's there a lot of

10:58

different there lot of different ways in

11:01

which businesses are coupled to China

11:03

that were investors that tried investing

11:06

there are people who tried to compete

11:08

within China they people who built

11:09

factories in China for export um and um

11:12

you know there different parts of that

11:14

that worked to um to to varying degrees

11:17

but uh but yeah

11:19

my um my I I certainly would not try to

11:24

um to invest in a company that competed

11:27

domestically inside China I think that's

11:30

that's virtually impossible um I think

11:34

it's probably quite tricky even to

11:37

invest in Chinese Chinese businesses um

11:40

uh and uh and then and then there is

11:43

there is sort of this model of you know

11:45

building factories in China uh for uh

11:48

for export uh to the west and um it was

11:51

it was a very big Arbitrage these things

11:53

do work you know I me I visited the

11:55

foxcon factory nine years ago and it's

11:58

you know you have people get paid a

11:59

dollar and a half $2 an hour and they

12:01

work 12 hours a day and they live in a

12:03

dorm room with two bunk beds where uh

12:06

you know you get eight people in the

12:07

dorm room someone's sleeping in your bed

12:08

while you're working and vice versa and

12:11

uh and you sort of realize they're

12:13

really far behind us or they're really

12:14

far ahead of us and either way you know

12:16

it's it's not that straightforward to

12:18

just uh shift the um the iPhone

12:20

factories to the United States um so I I

12:23

sort of understand you know why a lot of

12:27

businesses ended up there and why why

12:30

this is the the arrangement that we have

12:32

but uh but yeah my my my intuition for

12:36

you know what is going to happen without

12:38

making any normative judgments at all is

12:40

it is going to decouple how inflationary

12:42

will that

12:44

be it presumably is it's presumably

12:48

pretty inflationary yeah that that's

12:50

that's probably the you know I I don't

12:53

know it's and you'd have to sort of look

12:55

at you know what the in elasticities of

12:57

all these goods are so that's true

12:59

what's the policy re probably not that

13:02

it may not be as inflationary as people

13:03

think because um people always model

13:06

trade in terms of uh pairwise in terms

13:09

of two countries so if you literally

13:11

have to move the people back to the US

13:13

that's that's insanely expensive I don't

13:15

you know I don't know how much would

13:16

cost people to build an

13:18

iPhone you just you just well I think

13:20

India is sort of too messed up but you

13:22

shift it to like Vietnam Mexico there

13:24

are you know there there 5 billion

13:26

people living in countries where the

13:28

incomes are lower than China and so um

13:31

and so you know probably the um the

13:34

negative sum trade policy we should have

13:36

with China is um you know we should just

13:39

shift it to other countries which is a

13:41

little bit bad for the US extremely bad

13:44

for China and let's say really good for

13:46

Vietnam that's kind of um and that's

13:49

kind of the the negative sum policy um

13:53

that uh that's going to manifest as this

13:55

sort of uh decoupling happens let's talk

13:58

about avoiding it for a second here

14:00

Trump seems to be extremely good with

14:02

dictators and authoritarians uh Kim

14:04

Jong-un seems like a big fan I mean that

14:06

in like as a compliment as a superpower

14:08

right like he doesn't have a problem

14:10

talking to them he connects with them

14:12

and they seem to like him so what would

14:16

be the path to him working with XI to

14:18

avoid this is there a path to avoid this

14:21

because we were sitting here last year

14:23

talking about this and it just seems

14:25

mindboggling that if everybody agrees

14:28

that this is going to happen happen that

14:30

we can't figure out a way to make it not

14:33

happen well it's it's not just up to us

14:37

so um yeah there's there's and so I

14:41

don't know it's it's obviously somewhat

14:42

of a black box we don't exactly we we I

14:46

I I feel we just have no clue what

14:48

people in in in China think but um but I

14:52

I I think it's sort of the the sense of

14:55

history is is strongly the sort of thus

14:58

trap idea that you have a rising power

15:00

against an existing power and it tends

15:02

to you know it's it's willham mean

15:05

Germany versus Britain before World War

15:07

I and you know it's um you know Athens

15:10

against Sparta the rising power against

15:12

the existing power you you tend to um

15:15

get conflict that's that's probably what

15:18

deep down I think is is really really

15:22

far in the China DNA so so I'd say maybe

15:24

maybe the first I don't know the meta

15:27

version would be the first the first

15:28

step avoiding the conflict would be we

15:30

have to we have to start by admitting

15:32

that China believes the conflict's

15:34

happening right and then if if if if

15:37

people like you are constantly saying um

15:40

well we just need to have some happy

15:41

talk right um that's that is a recipe

15:44

that's a recipe for world I'm not

15:46

advocating happy Jo necessarily

15:49

um I'm I get accused of being a bit more

15:52

hawkish obviously obviously um in in

15:54

general you know I don't know I I'm not

15:57

I'm not sure Trump should talked to the

15:59

North Korean dictator but yeah in

16:01

general um it's probably a good idea to

16:03

to try to um talk to people even if

16:06

they're they're really bad people most

16:08

of the time and uh and uh you know it's

16:10

it's certainly um a very odd Dynamic

16:13

with the US and and uh and Russia at

16:15

this point where um I I think it is

16:18

impossible for anybody in the Biden

16:21

Administration even to have a back

16:22

Channel communication with uh with

16:24

people like I I don't think Tucker

16:26

Carlson counts as an emissary from the

16:28

Biden Administration and if anybody gets

16:30

tuckered or I don't know what the verb

16:32

is who talks you know that's that's that

16:35

seems that seems worse than the

16:37

alternative can we um talk about

16:40

technology um you have this you you you

16:44

have a speech where you talk about some

16:46

of the misguided things we've done in

16:47

the past in the name of technology and

16:49

use like big data as an example of that

16:52

um what is

16:54

AI um oh man that's that's sort of a

16:59

big question I

17:01

um it's um yeah I I always I I always

17:07

had this riff where I I don't like the

17:09

buzzwords and um you know machine

17:12

learning learning Big Data cloud

17:14

computing you know I'm going to build a

17:16

mobile app bring the cloud to um you

17:19

know if you have sort of a concatenation

17:21

of buzzwords um you know my my first

17:23

instinct is just to run away as fast as

17:25

possible some really bad group think and

17:29

um and for many years I I my bias is

17:31

probably that AI was one of the worst of

17:33

all these buzzword it meant you know the

17:36

next generation of computers the last

17:37

generation of computers you know

17:39

anything in between so it's meant all

17:41

these all these very different things if

17:43

we if we roll the clock back to the

17:46

2010s you know the um probably the AI to

17:50

the extent you concretize I would say

17:52

the AI debate was maybe framed by by two

17:56

the two books the two canonical books

17:57

that framed it was there was the the

17:58

Bostrom book super intelligence 2014

18:01

where AI was going to be this super

18:03

human super duper intelligent um thing

18:07

and then um the anti- um Boston book was

18:10

the Kaiu Lee 2018 AI superpowers you can

18:13

think of the CCP rebuttal to Bostrom

18:16

where basically AI was going to be

18:18

surveillance Tech face recognition and

18:20

China was going to win because they had

18:22

no qualms about uh applying this

18:24

technology and um and then um if we now

18:28

think about what actually happened let's

18:29

say with the llms and and chat GPT it

18:32

was really neither of those two um and

18:35

it was this in between thing which was

18:37

actually what people would have defined

18:39

AI as for the previous 60 or 70 years

18:42

which is passing the touring test which

18:44

is you know this the somewhat fuzzy line

18:46

it's a computer that can pretend to be a

18:48

human um or that can fool you into

18:51

thinking it's a human and um and uh you

18:54

know even with the fuzziness of that

18:56

line you could say that pre chat GPT

18:59

wasn't passed and then chat GPT passed

19:02

it and that seems that seems very very

19:05

significant um and um and then obviously

19:08

leads to all these questions what does

19:10

it mean you know is it going to is it

19:12

going to complement people is it going

19:14

to substitute for people you know what

19:16

does it do to the labor market do you

19:17

get paid more paid less you know so

19:19

there all these all these questions but

19:21

uh it um it seems extremely it seems

19:25

extremely important um and um

19:29

and it's probably you know certainly the

19:32

the big picture questions which I think

19:34

Silicon Valley is always very bad at

19:35

talking about is like you know what does

19:37

it mean to be a human being right um

19:38

sort of the I don't know the stupid 2022

19:42

answer would be that humans differ from

19:43

all the other animals because we we're

19:45

good at languages if you're a

19:46

three-year-old or an 80-year old you

19:48

speak you communicate we tell each other

19:50

stories this this this is what makes us

19:53

different and so um so yeah I think

19:55

there's something about it that's uh

19:57

incredibly important and and very

19:59

disorienting you know the question I

20:00

always have as a I know the narrower

20:02

question I have as an investor is sort

20:03

of how do you make money with this stuff

20:06

and um how do you make money I it's um

20:09

it's pretty confusing and I think I I

20:13

don't know this is always where I'm

20:14

anchored on the late 90s is sort of the

20:16

formative period for me but uh I I I I

20:19

keep thinking that uh AI in 20123 2024

20:24

is like the internet in

20:26

1999 um it's it's really big it's going

20:29

to be very important it's going to

20:32

transform the world not you know in 6

20:34

months but in 20 years and then um there

20:37

are probably all kinds of incredibly uh

20:40

catastrophic approximations where you

20:43

know uh what businesses are going to

20:45

make money you know who's going to have

20:47

the Monopoly who's going to have pricing

20:48

power is um you know is is is is super

20:52

unclear um probably you know one one

20:54

layer deeper of analysis you know if

20:56

attention is all you need and if you're

20:58

you're not post economic you need to pay

21:00

attention to who's making money and in

21:02

AI it's basically one company is making

21:04

Nvidia is making over 100% of the

21:07

profits everybody else is collectively

21:08

losing money and so um and so there's

21:11

sort of a you have to do some sort of

21:13

you should do you should try to do some

21:15

sort of analysis you do you go long

21:18

Nvidia do you go short you know is it um

21:20

you know My Monopoly question is it a is

21:22

it a really durable Monopoly you know

21:25

and and then I it's it's hard for me to

21:27

know because I'm in Silicon Valley and I

21:28

haven't done anything we haven't done

21:29

anything in semiconductors for a long

21:31

time so I have no clue do you um if you

21:33

let's debz word the word Ai and say it's

21:35

a bunch of process automation let's just

21:37

say that's version 0.1 where brains that

21:40

are roughly the equivalent of a teenager

21:42

can do a lot of manual stuff what do you

21:45

have you thought about what it means for

21:48

you know 8 billion people in the world

21:50

if there's an extra billion that

21:52

necessarily couldn't work or like

21:54

whether that in political or economic

21:56

terms

21:59

I don't know the the the

22:01

um I I I don't know if this is the same

22:04

but this is you know the the history of

22:06

2050 years the Industrial Revolution

22:09

what was that it you know it adds to GDP

22:12

it frees people up to do more more

22:14

productive things um you know maybe

22:17

there's you know there was yeah there

22:18

was a I know there was a lite critique

22:20

in the 19th century of the factories

22:23

that people were going to be unemployed

22:24

and wouldn't have anything to do because

22:25

the machines would replace the people

22:27

you know maybe the Lites are right this

22:30

time around I'm I'm I'm probably I'm

22:32

probably pretty pretty skeptical of it

22:34

but uh but yeah it's it's it's extremely

22:36

confusing you know uh where where the

22:39

gains and and losses are there there

22:42

probably are um you know there there's

22:45

always sort of a hobby you can always

22:47

just use it on your hobby horses so I

22:49

don't know the you know my anti-

22:50

Hollywood or anti- university hobby

22:52

horse is that uh it seems to me that you

22:55

know the um the AI is quite good at the

22:57

woke stuff

22:59

and um it'll and and so you know if you

23:01

want to if you want to be a successful

23:03

actor you should be maybe a little bit

23:04

racist or a little bit sexist or just

23:06

really funny uh and you won't have any

23:09

risk of the AI replacing

23:11

you everybody else will get everybody

23:14

else will get replaced and then probably

23:17

I don't know

23:18

um I don't know uh Claudine gay the

23:21

plagiarizing Harvard University

23:23

president um you know the AI is going to

23:26

you know the AI will produce end amounts

23:29

of um of these sort of I don't even know

23:32

what to call them uh woke um papers and

23:36

um they they were all already sort of

23:38

plagiarizing one another they were

23:40

because they were always saying the same

23:41

thing over and over again they were

23:43

using their own version of is just going

23:44

to flood the Zone with with even more of

23:46

that and that you know I don't know

23:48

obviously they've been able to do it for

23:49

a long time and no one's noticed but uh

23:52

but I think I think at this point um

23:54

that it it doesn't seem promising from a

23:56

um compet compe Point obviously my hobby

24:00

horses so I'm I'm just maybe just

24:02

wishful thinking on my part what are the

24:03

areas of technology that um you're

24:06

curious about that your mind is like wow

24:07

this is really I have to learn more pay

24:11

attention you know I'm always I always

24:14

think uh you you want to instantiate it

24:18

more in companies than than um things or

24:21

you know you ask sort of like where is

24:23

where is innovation happening you um you

24:27

know it it it

24:29

in our society it doesn't have to be

24:30

this way but it's it's um it's mostly in

24:34

in um in a certain subset of relatively

24:37

small companies where we have these

24:39

relatively small teams of people that

24:41

are really pushing the envelope and

24:43

that's that's sort of you know that

24:45

that's sort of what I find you know

24:47

inspiring about about venture capital

24:50

and then you and then obviously you

24:52

don't just want Innovation you also want

24:54

it to sort it to it to um to translate

24:57

into into good businesses but that's

24:59

that's where it happens it it somehow it

25:01

doesn't happen in universities it

25:03

doesn't happen in government you know

25:05

there was a time it did I mean you know

25:07

somehow in this very very weird

25:09

different country that was the United

25:11

States in the 1940s you had you know

25:13

somehow the Army organized the

25:15

scientists and got them to produce a

25:16

nuclear bomb in Los Alamos in three and

25:18

a half years and you know the way the

25:20

New York Times editorialized after that

25:23

was you know it's it's you know it was

25:24

sort of an anti-libertarian write up it

25:26

was you know there were um you know

25:27

obvious Maybe you'd left the Primadonna

25:29

scientists to their own would have taken

25:31

them 50 years to build a bomb and uh the

25:33

Army could just tell them what to do and

25:35

this will should silence anybody who

25:37

doesn't believe the government can do

25:38

things and uh they don't write

25:40

editorials like that in the New York

25:42

Times anymore but I think um yeah but I

25:45

think that's sort of that that's that's

25:47

sort of where where when where when

25:49

should look I think it I think I think a

25:51

crazy amount of it still happens in the

25:52

United States you know there sort of you

25:55

know we've we've you know episodically

25:57

tried to all this investing we probably

25:59

tried to do tooo much investing in

26:00

Europe over the years it's always sort

26:02

of a junk it sort of it's a nice place

26:04

to go on vacation as an investor and um

26:07

and it's it's it is it is very it's it's

26:10

very and I don't have a great

26:12

explanation but it's a very strange

26:15

thing that uh so much of it is still the

26:17

US is somehow still the country where

26:19

people do new things Peter is that is

26:21

that a team organizational social

26:24

evolutionary problem in the United

26:26

States what is the root cause of the

26:28

failure to innovate in the United States

26:30

relative to the expectation going back

26:34

70 years 50 years Etc from you know the

26:37

the rocket shift and we're all going to

26:39

live yeah well this is always this is

26:40

always this always one of the big

26:42

picture and claims I have that we've

26:44

been in an era of relative Tech

26:46

stagnation the last 40 or 50 years or

26:48

the you know the tagline um that we

26:51

had they promis flying cars all we got

26:54

was 140 characters which is not an anti-

26:56

Twitter antix commentary even though the

26:58

the way the way I used to always qualify

27:00

it was that uh at least you know at

27:02

least it was at least a good company you

27:04

had you know 10,000 people who didn't

27:06

have to do very much work and could just

27:08

smoke marijuana all day very similar to

27:10

Europe and so I I think that actually

27:11

that part actually did get corrected but

27:14

um um but the um very but I think I I

27:19

think um like what went wrong because

27:21

you you point out that it's not a

27:22

technology Trend tracker that you think

27:24

about it's about people and teams that

27:26

innovate and drive to outcomes B on

27:28

their view of the world and and what's

27:30

gone wrong with our view of the world

27:32

and our ability to organize to achieve

27:35

the seemingly unachievable with very

27:37

rare exceptions obviously elon's here

27:38

later but yeah you know it's it's it's

27:40

it's overdetermined um the um the the

27:44

the rough frame I always have and again

27:46

it's not that there's been no innovation

27:48

there's been there's been a decent

27:49

amount of innovation in the world of

27:51

bits computers internet mobile internet

27:54

you know crypto AI so there sort of all

27:57

these um world of bits uh places where

28:01

there was you know a sign significant

28:04

but sort of somehow narrow cone of

28:06

progress but it was everything having to

28:07

do with atams that was slow this was

28:09

already the case When I Was An

28:10

undergraduate at Stanford in the late

28:12

80s in retrospect any applied

28:14

engineering field was a bad idea it was

28:16

a bad idea to become a chemical engineer

28:18

you know a mechanical engineer aeroastro

28:20

was terrible nuclear engineering

28:22

everyone KN I mean I no one did that you

28:25

know and um and and there's something

28:28

about yeah the world of Adams that um

28:31

you know from a Libertarian point of

28:32

view you'd say got regulated to death um

28:35

there probably uh you know there's

28:38

there's some there's some set of

28:39

arguments where um the lwh hanging fruit

28:42

got picked and got harder to find new

28:44

things to do although I always I always

28:46

think that was just a sort of baby

28:48

boomer excuse for for covering up for

28:50

the the failures of that generation um

28:53

and um and then um and then I think but

28:57

I think maybe maybe um maybe a very big

29:00

picture part of it was that uh at some

29:03

point in the 20th century the idea got

29:06

took hold that not all forms of

29:09

technological progress were simply good

29:12

and simply for the better and there's

29:13

you know there's something about the two

29:15

world wars and the you know the

29:17

development of nuclear weapons that uh

29:19

that that gradually pushed people into

29:21

this this more uh risk ofers society and

29:23

it didn't happen overnight but um you

29:26

know maybe a quarter century

29:28

you know after the nuclear bomb it's

29:29

like by Woodstock it happened by

29:31

Woodstock it happened yeah cuz that was

29:33

the same summer we landed on the moon

29:35

yeah Woodstock was three weeks after

29:36

that yeah that's that was the Tipping

29:39

Point progress stopped in the took over

29:41

sex can we shift gears just to the

29:43

domestic economy what what do you

29:44

think's happening in the domestic

29:45

economy and just say backdrop we've had

29:47

something like 14 straight months of

29:49

downward revisions to jobs the revisions

29:52

are supposed to be completely random but

29:53

somehow they've all been down um prob

29:56

doesn't mean anything um

29:58

there's also what's happening with with

30:00

the yield curve but I'll stop there what

30:02

what's your take on what's happening in

30:03

the

30:04

economy

30:07

um you know it's

30:09

it's man it's always hard hard to know

30:12

exactly yeah I I I suspect we're close

30:14

to a recession i' I've probably thought

30:16

this for a while uh it's it's being

30:20

stopped by really big government

30:22

spending so um you know in May of 2023

30:27

the projection for the deficit in 20

30:30

fiscal year 24 which is October of 23 to

30:33

September 24 was something like 1.5 1.6

30:37

trillion um the deficit is going to come

30:39

in about 400 billion higher and so um

30:42

which you know was a sort of a crazy

30:44

deficit was projected and it was way off

30:46

and then somehow um and so if if we had

30:50

not found another 400 billion um to add

30:54

to you know this this crazy deficit at

30:56

the top of the economics cycle you know

30:59

you're supposed to you're supposed to

31:00

increase deficits in a recession not at

31:02

the not at the top of the cycle um you

31:05

know think things would be probably very

31:07

shaky there's yeah there's there's

31:08

there's there's some way where um we

31:11

yeah we have a um too much debt not

31:14

enough sustainable growth um you know

31:17

again I always think it comes back to

31:19

you know Tech Innovation there probably

31:21

are other ways to grow an economy

31:23

without Tech um or intensive progress um

31:28

but I think they we we we don't have

31:31

those don't seem to be on offer and then

31:32

that's that's where it's very deeply

31:34

stuck if you if you wind back over the

31:35

last 50 years you there's always a

31:37

question why did people not realize that

31:39

this Tech stagnation had happened sooner

31:41

and I think there were two one-time

31:43

things people could do economically that

31:45

had nothing to do with science or tech

31:47

there was a 1980s Reagan Thatcher move

31:51

which was to massively cut taxes

31:53

deregulate allow lots of companies to

31:55

merge and combine and and it was sort of

31:58

a one-time way to make the economy a lot

32:02

bigger even though it had it was not

32:04

something that really had the sort of

32:05

compounding effect so it led to one

32:08

great decade and then there was um you

32:10

know and that was sort of the right-wing

32:12

capitalist move and then um in the 90s

32:15

there was sort of a Clinton Blair um

32:18

Center left thing which was sort of

32:19

Leaning into globalization and there was

32:21

a giant Global Arbitrage you could do

32:24

which also had you know a lot of

32:25

negative externalities that came with it

32:27

but um it sort of was a one-time move I

32:29

think both of those are are not on offer

32:33

you know I don't necessarily think you

32:35

should undo globalization I don't think

32:36

you should raise taxes like crazy but um

32:39

you can't you can't do more

32:41

globalization or more tax cuts here

32:43

that's not going to be the win and and

32:45

so I I think you have to somehow get

32:46

back to the future um we have time for a

32:48

couple more questions you um I think saw

32:52

that maybe this ivy league institutions

32:55

maybe weren't producing the best and

32:56

brightest or weren't exactly um hitting

32:59

their mandate um and you created the

33:01

teal fellows and you've been doing that

33:03

for a while and I meet them all because

33:04

they all have crazy ideas and they pitch

33:06

me for Angel investment what have you

33:08

learned getting people to quit school

33:10

giving them $100,000 and then how many

33:12

parents call you and get really upset

33:14

that their kids are quitting

33:16

school uh

33:20

it's well I I don't know I've I've I've

33:23

learned a lot I mean it's it's um

33:30

I don't know I I I I think I think the

33:32

universities are far worse than I even

33:33

thought when I started this thing um I

33:37

think um yeah it's um you know I I I I

33:41

did this uh I did this debate at Yale

33:45

last week um you know resolved higher

33:46

education's a bubble and um and uh you

33:51

sort of go through all the different

33:53

numbers and um the and then you know and

33:57

again I I was ful to word it in such a

33:58

way that I I didn't have to you know and

34:00

then people kept saying well what's your

34:01

alternative what should people do

34:02

instead and I said nope that's not was

34:04

not the debate I'm not you know I'm not

34:06

your guidance counselor I'm not your

34:07

career counselor I I don't know how to

34:09

solve your problems but um if

34:11

something's a bubble you know the first

34:13

thing you should do is probably not you

34:15

know lean into it in too crazy a way and

34:19

you know the student debt was 300

34:20

billion in 2000 it's uh it's basically

34:24

uh close to two trillion at this point

34:25

so it's just been the sort of runaway um

34:28

this runaway process and um and then if

34:30

you look at it by cohort if you

34:33

graduated from college in 1997 12 years

34:36

later um people still had student debt

34:39

but most of the people had sort of paid

34:40

it down um but the first by 2009 we

34:44

started the teal Fellowship in 2010 and

34:47

it you know it felt uh two by 2009 was

34:51

the first cohort where this really

34:53

stopped if you take the people graduated

34:54

from college in 2009 and you fast for

34:57

forward 12 years to

35:00

2021 the median person had more student

35:04

debt 12 years later than they graduated

35:07

with because it's actually just it's

35:09

just compounding faster and it was you

35:11

know partially partially the global

35:13

financial crisis the people had less

35:15

well-paying jobs they stayed in college

35:17

longer um and the colleges they it's

35:20

just sort of been this background thing

35:22

where it's it's decayed in these in

35:25

these really significant ways and um you

35:27

know again I I think it's on some level

35:30

um there are sort of a lot of um debates

35:33

in our society that are probably

35:34

dominated by sort of a boomer narrative

35:37

and maybe the Baby Boomers were the last

35:39

generation where College really worked

35:41

and you know they think well you know I

35:43

I worked my way through college and why

35:45

can't why can't um why can't you know an

35:48

18-year-old going to college do that

35:49

today and um and so I I I think the

35:53

bubble will will will be done once the

35:56

Boomers have exited stage left but does

35:58

the government to it would be good if we

36:00

figured something out before then you

36:02

know does does the government need to

36:03

stop underwriting the loans because it's

36:06

the lending I think the 90 plus perc of

36:09

the the the capital in the student loan

36:11

programs is funded by federal uh Federal

36:14

the federal government and there's if

36:17

you're an accredited University you can

36:18

take out a loan and go to it and

36:20

accreditation in in a in a in a rigid

36:23

kind of free market system you would

36:25

have an underwriter that says are you

36:27

going to be able to Gra graduate make

36:28

enough money to pay your loan off is

36:29

this a good school are you going to get

36:31

a good job and then the market would

36:32

figure out whether or not to give you a

36:33

loan would figure out what the rate

36:34

should be and so on but in this case the

36:36

government simply provides Capital to

36:38

support all this and as a result

36:39

everything's gotten more expensive and

36:42

the rigidity in the system that

36:44

basically qualifies schools and the

36:46

quality of those schools relative to the

36:47

earning potential over time is gone we

36:49

need the government to get out of

36:51

student loan business yeah but look the

36:53

the place where I'm I I know I'm sort of

36:56

some ways I'm rightwing some ways I'm

36:57

left wing on this so the place where I'm

36:58

leftwing is I do think a lot of the

37:01

students got ripped off and uh and so I

37:04

think there should be some kind of broad

37:06

um debt forgiveness at this point um who

37:09

should pick up the T but it's not just

37:11

the taxpayers it's the universities and

37:14

it's the the the the bond holders got it

37:17

the bond take a little bit out of those

37:18

ends the universities and um and then

37:22

obviously if you just make it the

37:24

taxpayers then um then you'll just then

37:26

the universities can just charge more

37:28

and more no incentive to reform what

37:30

whatsoever but uh had me you know it's

37:33

in 2005 uh it was under Bush 43 that the

37:36

bankruptcy laws got Rewritten in the US

37:39

where you cannot discharge student debt

37:41

even if you go bankrupt and if you

37:43

haven't paid it off by the time you're

37:44

65 your Social Security wages checks

37:47

will be garnished it's crazy so um so

37:50

you know I I I I do think um but should

37:52

we stop lending should the federal

37:54

government get out of the the student

37:55

lending business well if if if we if we

37:58

say that uh if we if we start if we

38:01

start with my place where you know a lot

38:03

of the student debt should be forgiven

38:05

and then and then and then reform the

38:07

then we'll see how many people are

38:09

willing to lend you know how how much

38:11

how many of the colleges can um pay for

38:13

all the student what's your sense if if

38:15

it was a totally free market system how

38:17

many colleges would shut down because

38:20

they wouldn't be able to S there's no

38:21

tuition

38:24

support it it probably would be a lot

38:27

smaller it it might it might you might

38:30

not have to shut them down because

38:33

there's you know a lot of them have

38:34

gotten extremely a blow it's like Bal

38:36

Mall's cost disease where you know I

38:38

don't know if I have no idea like a

38:40

place like UCLA it probably has you know

38:43

twice or three times as many bureaucrats

38:45

as they had 30 40 years ago so there's

38:48

sort of all there's sort of all these

38:49

sort of um parasitic people that have

38:52

sort of uh gradually approved and uh and

38:55

um and and so there's probably a lot of

38:57

would be a lot of rational ways to dial

38:59

this back but um but yeah um you know

39:01

maybe we're to a new

39:03

location if the only if the only way to

39:05

lose weight is to cut off your thumb

39:07

that's kind of a difficult way to go on

39:08

a DI he um Peter three of your

39:11

collaborators longtime collaborators

39:13

Elon Musk um Mark Zuckerberg and uh Sam

39:18

mman are arguably the three leading AI

39:22

language model um

39:25

leaders which one is going to win rank

39:27

in order and tell us a little bit about

39:33

each Peter said he would answer any

39:35

question I I I I I said I would take any

39:37

question I didn't say to answer any

39:39

question you said you would honestly you

39:41

said today you felt extremely honest and

39:43

candid Let's uh I I yeah but Ive already

39:46

been extremely honest and candid so I

39:48

think qu it's it's it's whoever I talked

39:52

to last okay they're they're all very

39:55

very convincing people so you know I cre

39:58

I I talk a little bit I talked to Elon a

40:02

while ago and and you know and it was it

40:04

was just um how ridiculous it was that

40:08

Sam Alman was getting away with turning

40:10

open AI from a nonprofit into a

40:12

for-profit that was such a scam if

40:15

everybody was allowed to do this

40:17

everybody would do this that it has to

40:19

be totally illegal what Sam's doing and

40:22

it shouldn't be allowed at all and that

40:24

seemed really really convincing in the

40:26

moment and then then sort of half an

40:27

hour later I I thought to myself but you

40:30

know actually um man it was it's been

40:33

such a horrifically mismanaged place at

40:37

open AI with this Preposterous nonprofit

40:40

board they had nobody would do this

40:42

again and so there actually isn't much

40:44

of a moral hazard from it so but yeah

40:46

who whoever whoever I talk to I find

40:48

very convincing in the

40:49

moment well will that spaces get

40:52

commoditized I mean do you see a path to

40:53

Monopoly there well again this is this

40:56

is again where you know you should you

40:58

know attention is all you need you need

41:00

to pay attention to who's making money

41:02

it's Nvidia it's it's the hardware the

41:04

chips layer and um and um and then

41:09

that's just it's just what we you know

41:11

it's not what we've done in tech for for

41:13

30 years you are they making 120% of the

41:17

profits they're they're make they're I

41:19

think everybody else is losing money

41:21

collectively yeah everyone else is just

41:23

spending money on on the computer so

41:24

it's it's one it's one company that's

41:25

making I mean maybe there's a few other

41:27

people are making some money I mean I

41:28

assume tsmc and asml but but uh but uh

41:32

yeah I think everyone else is

41:33

collectively losing money what do you

41:34

think of Zuckerberg's approach to say

41:36

I'm so far behind this isn't cour in my

41:38

business I'm going to open source it um

41:41

is that going to be the winning strategy

41:44

handicap that for

41:46

us um again I I I I I I I would say um

41:53

my again my my my big my my big

41:55

qualification is you know my my model is

41:57

AI feels like it does feel uncomfortably

42:00

close to the bubble of 1999 so I'm we

42:04

haven't invested that much in it um and

42:08

uh I I I'd want to have more clarity in

42:11

investing but uh but the the uh the

42:14

simple simplistic question is you know

42:17

who who's going to make money um you

42:19

know I think a year ago two years ago in

42:21

retrospect Nvidia would have been a good

42:22

buy you know I think at this point

42:24

everybody it's it's it's sort of too

42:26

obvious that they're making too much

42:27

money everyone's going to try to copy

42:29

them on on the chip side maybe that's

42:32

straightforward to do maybe it's not but

42:34

but that's you know I'd say probably um

42:38

you should you should if you if you want

42:39

to figure out the AI thing you you

42:41

should not be asking this question about

42:42

um you know meta or um open air or any

42:46

of these things you should really be

42:47

focusing on the Nvidia question the

42:49

chips question and the the fact that

42:50

we're not able to focus on that that

42:52

that tells us something about how we've

42:53

all been trained you know I think Nvidia

42:55

got started in 1993 yeah I believe that

42:57

was the last year where anybody in their

43:00

right mind would have studied electrical

43:02

engineering over computer science right

43:03

94 Netscape takes off and then yeah it's

43:06

probably a really bad idea to start a

43:08

Semiconductor Company even in '93 but

43:10

the benefit is there was going to be no

43:12

one would come after you no no talented

43:15

people started semiconductor companies

43:17

after 1993 because they all went into

43:20

you know into software score their

43:22

Monopoly

43:23

power um it's

43:30

I I I think it's quite strong because

43:33

this this this history that I just gave

43:35

you where none of us know anything about

43:37

chips um and then I think the you know I

43:41

think the risk it's always you know if

43:44

attention is all that you need um the

43:47

qualifier to that is you know when you

43:49

get started as an you know actress as a

43:51

startup as a as a company you need

43:54

attention then it's desirable to get

43:56

more and at some point attention becomes

43:59

the worst thing in the world and and

44:01

there was the one day where Nvidia had

44:03

the largest market cap in the world

44:05

earlier this year and I do think that

44:08

represented a phase transition once that

44:10

happened they probably had um more

44:13

attention than was good hey Peter as we

44:15

wrap here um your brain works in a

44:18

unique way you're an incredible

44:20

strategist you think you know very

44:22

differently than uh a lot of the folks

44:25

um that we get to talk to um with all of

44:28

this are you optimistic for the

44:32

future uh I I always man I always push

44:35

back in that question I I um I think I

44:40

think extreme optimism and extreme

44:42

pessimism are both really bad attitudes

44:46

and they're the somehow the same thing

44:48

you know extreme pessimism nothing you

44:50

can do extreme optimism the future will

44:53

take care of itself so if if you have to

44:55

have one it's probably you want to be

44:57

somewhere in between maybe mildly

44:59

optimistic mildly pessimistic but uh you

45:02

know I I believe in human agency and

45:04

that it's up to us and it's not you know

45:06

it's not some sort of winning a lottery

45:08

ticket or some astrological chart that's

45:11

going to decide things and I believe in

45:13

human agency and that's sort of an axis

45:16

that's very different from optimism or

45:18

pessimism what a great extreme optimism

45:19

extreme pessimism they're both excuses

45:21

for laziness what an amazing place to

45:24

end ladies and gentlemen give it up for

45:26

Peter J thank you thank you Peter come

45:28

on

45:29

now wow all right Peter ch

Interactive Summary

In this candid interview, Peter Thiel explores his contrarian perspectives on the current U.S. political landscape, the necessity of decoupling from China, and the nature of technological innovation. He argues against both blind optimism and fatalistic pessimism, emphasizing that the future is not fixed and that human agency is the critical factor in shaping outcomes. Thiel also touches on the current state of artificial intelligence, highlighting that while it is an important development, he remains cautious about identifying sustainable business models in the sector beyond hardware providers like Nvidia.

Suggested questions

4 ready-made prompts