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Competition is for Losers with Peter Thiel (How to Start a Startup 2014: 5)

50:07EnglishTranscribed Jul 22, 2026
0:00

all right good afternoon uh today's

0:03

speaker is Peter teal Peter was the

0:05

founder of PayPal and paler and Founders

0:08

fund and has invested in uh most of the

0:11

tech companies in in silica Valley and

0:13

he's going to talk about strategy and

0:15

competition thank you for coming Peter

0:17

awesome thanks uh Sam thanks for

0:19

inviting me thanks for for having me uh

0:22

I I sort of have a I have a single eay

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FS that I'm completely obsessed with in

0:29

um on on the business side which is that

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uh if you're starting a company if

0:33

you're the founder entrepreneur starting

0:35

a company you always want to aim for

0:37

Monopoly and um and that uh and you want

0:41

to always avoid competition and so uh

0:44

hence uh competition is for losers uh

0:47

something we'll be talking about

0:49

today I'd like to um I'd like to start

0:53

by saying something about um the the

0:57

basic idea of uh when you start one the

1:00

companies um how you go about uh

1:02

creating value and there's this question

1:04

what makes a business valuable and I

1:06

want I want to suggest that there's

1:07

basically a very simple uh very simple

1:10

formula that um um you you have a

1:14

valuable company if two things are true

1:17

uh number one that it creates X dollars

1:20

of value for the world and number two

1:23

that you capture y% of X and and the

1:27

critical thing that uh that I think

1:29

people always miss in the sort of

1:31

analysis is that X and Y are completely

1:34

independent variables and so um X can be

1:38

very Big Y can be very small X can be of

1:42

intermediate size and if Y is reasonably

1:45

big you can still get a very big

1:47

business so to create a valuable company

1:49

you have to basically uh both create

1:51

something of value and capture some

1:53

fraction of the value of what you've

1:56

created and sort of just to just to

1:59

illustrate this as a as a contrast um

2:03

there's if you sort of compare the US

2:06

airline industry with a company like

2:09

Google on search um if you sort of

2:12

measure by the size of these industries

2:14

you could you could say that airlines

2:16

are still more important than search if

2:18

you just measure it say by revenues

2:20

there's 195 billion in uh domestic

2:23

revenues in 201 uh 2012 Google had uh

2:27

just north of 50 billion um and and so

2:30

and certainly sort of on some intuitive

2:33

level if you said uh if you were given a

2:34

choice and said well do you want to get

2:36

rid of a all air travel or do you want

2:38

to get rid of your ability to use search

2:39

engines the intuition would be that air

2:41

travel is something that's more

2:43

important than search and this is of

2:44

course just the domestic numbers if you

2:45

looked at this globally um airlines are

2:49

much much bigger than um than uh than

2:52

than than than search or than Google is

2:54

but uh but the profit margins are quite

2:56

a bit less uh you know they were

2:58

marginally profitable in 2012 12 uh I

3:01

think the entire 100-year history of the

3:02

airline industry the cumulative profits

3:04

in the US have been approximately zero

3:06

know companies make money they

3:08

episodically go bankrupt they get

3:09

recapitalized and you sort of cycle and

3:11

and repeat and this is reflected in you

3:14

know the the combined market

3:16

capitalization of the of the airline

3:18

Industries maybe uh something um of the

3:21

US airline industry something like a

3:23

quarter that of Google so so uh you have

3:26

you have a search engine much much

3:28

smaller than than air travel but much

3:31

more valuable and I think this this

3:32

reflects these very different uh

3:34

valuations on X and

3:36

Y so um you know if we look at perfect

3:42

competition um you know there are sort

3:44

of there's some pros and cons to the

3:47

world of perfect competition um on a

3:49

high level uh uh it's always um this is

3:52

what you study in econ one it's always

3:55

it's easy to model which I think is why

3:56

econ professors like talking about

3:58

perfect competition um it somehow is

4:01

efficient especially in a world where

4:02

things are static because you have all

4:04

the consumer surplus gets captured by

4:05

everybody and uh and politically it's uh

4:08

What uh what we're what we're told is

4:10

good in our society that you you want to

4:11

have competition and this is somehow a

4:13

good thing um of course there are a lot

4:15

of negatives uh it's it's generally not

4:17

that good if you're you're um you're

4:19

involved in anything that's hyper

4:21

competitive um because you often don't

4:23

make money I'll come back to this a

4:24

little bit later so uh so I think at one

4:26

end of the spectrum you have uh

4:28

industries that are perfectly

4:30

competitive and at the other end of the

4:32

spectrum um you have things that um I

4:35

would say are monopolies and um and

4:38

they're you know they're much stable

4:40

longer term businesses you have more

4:42

Capital uh and um and if you get a

4:45

creative Monopoly for inventing

4:47

something new I think it's symptomatic

4:49

of having created something something

4:51

really valuable um and so I do think

4:53

this you know the the the sort of the

4:55

the the extreme binary view of the world

4:58

I I always articulate is that there are

5:00

exactly two kinds of businesses in this

5:02

world there are businesses that are

5:03

perfectly competitive and there are

5:05

businesses that are monopolies and um

5:07

there's shockingly little that is in

5:10

between and uh this dichotomy is not

5:13

understood very well because uh people

5:16

uh are constantly lying about the nature

5:19

of the businesses they're in um and this

5:21

is why this is in my mind this is the

5:22

most important is not necessarily the

5:24

most important thing in business but I

5:25

think it's the most important business

5:26

idea that people don't understand that

5:29

there are just the two kinds of

5:30

businesses and so let me say a little

5:32

bit about the lies that people tell and

5:35

so you basically um the basic uh if you

5:39

sort of imagine that there was a

5:40

spectrum of companies from perfect

5:43

competition to Monopoly um the um the

5:46

apparent differences are quite small

5:48

because the people who have monopolies

5:51

pretend not to they will basically say

5:54

uh you know and it's because you don't

5:55

want to get regulated by the government

5:57

you don't want the government to come

5:58

after you so you will never say that you

5:59

have Monopoly so anyone who has a

6:01

monopoly will pretend that they're in

6:03

incredible competition and on the other

6:06

end of the spectrum if you are

6:08

incredibly competitive um and if you're

6:10

in some sort of business where you will

6:11

never make any money um you will be

6:14

tempted to tell a lie that goes in the

6:17

other direction where you will say that

6:19

you're doing something unique um that um

6:22

is is somehow uh less competitive than

6:24

it looks because um because you want to

6:28

you will want to differentiate you want

6:29

to try to trct Capital or something like

6:31

that so if the monopolists pretend not

6:34

to have monopolies the non- monopolists

6:36

pretend to have monopolies the apparent

6:38

difference is very small whereas the

6:41

real difference I I would submit is is

6:42

actually quite big and so there's this

6:44

Distortion that happens because of the

6:47

lies people tell about their businesses

6:49

and the lies are sort of in these these

6:51

opposite direction let me let me drill a

6:53

little bit down further on the uh the

6:55

way these lies

6:57

work and so um you know

7:01

the the the basic uh lie you tell as a

7:06

non-m monopoly is that we're in a very

7:08

small Market the basic lie you tell as a

7:10

monopoly is that the market you're in is

7:12

much bigger than it looks and so um and

7:16

so typically if you want to think of

7:18

this in sort of set theoretic terms you

7:20

could say that a monopoly tells um a a

7:24

lie where you describe your business as

7:26

the union of these vastly different

7:28

markets and the non- monopolist

7:31

describes it as the intersection so that

7:34

uh in effect um if you're if you're a

7:37

non- monopolist you will rhetorically

7:40

describe your Market as super small

7:42

you're the only person in that market if

7:44

you have monopo you will describe it as

7:47

super big and um and there's lots of

7:50

competition in it so uh some examples of

7:52

how this how this works in practice uh

7:55

so I always use restaurants as the

7:57

example of a terrible business this

7:59

always you know sort of my idea is you

8:00

know capitalism and competition are

8:02

antonyms um capitalist is someone who

8:05

accumulates Capital world of perfect

8:06

competition is a world where all the

8:08

capital gets competed away so uh you're

8:10

opening a restaurant business no one

8:12

wants to invest because you just lose

8:13

money so you have to tell some

8:15

idiosyncratic narrative and you will say

8:17

something like well we're the only

8:19

British food restaurant in paloalto so

8:21

it's British paloalto and uh and of

8:24

course that's too small a market because

8:27

people may be able to drive all the way

8:28

to Mountain View or even Meno Park um

8:31

and there probably are no people who eat

8:34

nothing but British food at least no

8:35

people who are still

8:37

alive and so so that is um that's that's

8:40

a sort of a fictitiously narrow Market

8:43

um there's there's sort of a Hollywood

8:46

version of this where uh the way movies

8:49

always get pitched is you know okay it's

8:51

like a college football star you know uh

8:55

joins an elite group of hackers to um to

8:59

catch the shark that killed his

9:01

friend um sorry and so that's now that

9:06

is a movie that has not yet been

9:08

made but um but but the question is is

9:12

is that the right category or is the

9:14

correct category it's just another movie

9:17

in which case you know there are lots of

9:18

those it's super competitive incredibly

9:20

hard to make money no one ever makes

9:22

money in Hollywood uh doing movies or

9:24

it's really really

9:26

hard and so you always have this

9:28

question about does the intersection

9:31

does is it real does it make sense does

9:33

it have value that one should ask and of

9:35

course there are startup versions of

9:36

this where you and the the sort of the

9:38

bad really bad versions you just take a

9:40

whole series of buzzword sharing mobile

9:43

social apps you combine them and you

9:45

have some kind of uh narrative and

9:47

whether or not that's a real business or

9:48

not uh is is uh um is it's generally a

9:52

bad sign so it's it's almost this

9:53

pattern recognition when you have this

9:55

rhetoric of the sort of intersections um

9:59

it it it generally does not work the

10:01

something of somewhere is really mostly

10:03

just the nothing of nowhere and it's

10:05

like the Stanford of North

10:07

Dakota uh one of a kind but it's not

10:11

Stanford um so let's look at the

10:14

opposite the opposite law is um if you

10:17

are uh let's say uh the uh the search uh

10:21

company that's down the street from here

10:22

and has about a happy 66% market share

10:27

um and uh is you know is completely

10:29

complely dominant in the search Market

10:31

um Google has not almost never describes

10:35

itself as a search engine these days um

10:38

and instead it uh it describes itself in

10:40

all these different ways so it sometimes

10:42

says it's an advertising company so if

10:44

it was search you'd say wow this this

10:46

like it's it's it has this huge market

10:48

share that's really really crazy it's

10:50

it's like a incredible Monopoly it's

10:52

much bigger than it's much a much more

10:54

robust Monopoly than Microsoft ever had

10:56

in the 90s maybe that's why it's making

10:58

so much money um but if you uh if you

11:01

say it's an advertising Market you could

11:03

say well there's search advertising is

11:05

17 billion and that's part of uh online

11:09

advertising which is much bigger and

11:12

then you know all us advertising is

11:14

bigger and then by the time you get to

11:17

Global advertising that's close to 500

11:19

billion and so you're talking about 3

11:22

and a half% so um a tiny part of uh of

11:26

this much larger

11:28

market um or uh if you don't want to be

11:31

an advertising company you can always

11:32

say that you're a technology

11:34

company

11:35

um and so

11:38

um sorry let me see um and so the and

11:43

and so um and and the technology Market

11:47

is something like a one trillion Doll

11:48

Market and the narrative that you tell

11:51

as Google in the in the technology

11:52

Market is um well we're competing with

11:55

all the car companies with our

11:56

self-driving cars we're competing with

11:58

Apple on TVs and

12:01

iPhones uh we're competing with Facebook

12:03

we're competing with Microsoft on um on

12:06

Office Products we're competing with

12:08

Amazon on cloud services and so we are

12:11

in this giant technology Market where

12:13

there's competition in every direction

12:15

uh you you look and uh no we're not the

12:18

Monopoly the government's looking for

12:19

and we should not get regulated in any

12:21

way whatsoever and so I think one has to

12:23

always be super aware that there are

12:26

these uh these very powerful incentives

12:28

to to uh to distort uh the nature of

12:31

these markets one way or or the

12:33

other so um you know the the the

12:36

evidence of narrow markets in the uh in

12:39

the tech industry is um is if you

12:42

basically just uh if you look at sort of

12:45

the some of the big tech companies Apple

12:48

Google Microsoft Amazon um they just um

12:52

they've just been building up cash for

12:55

um year after year and you have these

12:57

incredibly High profit margins and I

12:59

would I would say that the the one of

13:01

the reasons the tech industry in the US

13:04

has been uh has been so successful

13:07

financially is because it's it's prone

13:09

to creating all these Monopoly like

13:11

businesses and that's that's um and it's

13:14

reflected uh by the fact that these

13:16

companies just accumulate so much cash

13:18

they don't even know what what to do

13:19

with it Beyond a certain point um and

13:22

so so let me say um let me say a few

13:26

things about uh about how to how to

13:29

build a monopoly and I think uh I think

13:31

the one of the sort of very

13:34

counterintuitive ideas that comes out of

13:36

this Monopoly uh thread is that um you

13:40

want to go after small markets if you're

13:43

a

13:44

startup um you know you want to get to a

13:47

monopoly you're starting a new company

13:48

you want to get to Monopoly um Monopoly

13:51

is you have a large share of a market

13:53

how do you get to a large share of a

13:55

market you start with a really small

13:57

market and you take over that whole

13:59

market and then uh and then over time

14:01

you find ways to expand that market in

14:04

in concentric circles and uh the thing

14:06

that's always a big mistake is going

14:09

after a giant market on on day one

14:12

because that's typically evidence that

14:14

um that you somehow haven't defined the

14:16

categories correctly that and it's it

14:19

normally means that there's going to be

14:20

too much competition in one way or

14:22

another and so I think almost all the

14:25

successful companies uh in Silicon

14:27

Valley had some model of starting with

14:31

small markets and expanding and you know

14:35

if you take Amazon you start with you

14:38

start with you know just um a bookstore

14:41

we have all the books in the world so

14:43

it's it's a it's a it's a better

14:45

bookstore than anybody else has in the

14:46

world when it starts in the 90s it's

14:48

online there's things you can do you

14:49

can't do before and then you gradually

14:51

expand into all sorts of different forms

14:54

of e-commerce and other things beyond

14:56

that um you know eBay you start with Pez

15:00

dispensers you move on to beanie babies

15:03

and eventually uh it's it's all these

15:06

different um auctions for all these

15:08

sorts of different Goods um and uh and

15:11

what was very counterintuitive about

15:13

what's very counterintuitive about many

15:14

of these companies is they often start

15:16

with markets that are so small that

15:18

people don't think um they don't think

15:20

that they're uh valuable at all when

15:23

when you get

15:24

started um the the PayPal version of

15:27

this was uh was you know we started with

15:30

uh with power sellers on eBay which was

15:33

about 20,000 people when when we first

15:36

saw this happening in December of 99

15:38

January 2000 right after we launched uh

15:41

there was a sense that uh that these

15:43

were all um it was such a small Market

15:45

it was terrible we thought these were

15:47

terrible customers to have it's just

15:48

people selling junk on the internet why

15:50

in the world do we want to be going

15:52

after this Market but um but you you

15:54

know you there was a way to get a

15:56

product that was much better for

15:57

everybody in that market you could um

15:59

and we got to something like 25 30% you

16:02

know Market penetration in 2 or 3 months

16:05

and you got some Walkin you got brand

16:07

recognition and you're able to to build

16:09

the business from there so um so I

16:11

always think these um these these very

16:13

small markets are are quite underrated

16:16

uh the Facebook version of this I always

16:17

give is that uh you know the initial

16:20

Market at Facebook was 10,000 people at

16:22

Harvard it went from 0 to 60% market

16:25

share in 10 days that was a very

16:27

auspicious start um the way this gets

16:29

analyzed in Business Schools is always

16:32

um that's ridiculous it's such a small

16:33

Market it can't have any value at all

16:35

and so I think the business school

16:36

analysis of Facebook early on or of

16:40

PayPal early on or of eBay early on is

16:43

that the markets were perhaps so small

16:45

as to have uh almost no value uh and

16:49

they they would have had little value

16:50

had they stayed small but it turned out

16:52

there were ways to then grow them

16:53

concentrically and that's what made them

16:56

uh that's what made them so valuable um

16:58

now I think the opposite version of this

17:00

is always where you have super big

17:02

markets and um and I there's so much so

17:06

many different things that went wrong

17:07

with all the clean tech companies in the

17:09

last decade but uh but one one theme

17:13

that ran through almost all of them was

17:15

they all started with massive markets

17:17

and every clean tech PowerPoint

17:19

presentation that one saw in the Years

17:22

2005 to 2008 which was sort of the clean

17:24

tech bubble in in Silicon Valley started

17:27

with we're in the energy Market we're in

17:29

a market that's measured in hundreds of

17:30

billions or trillions of dollars and um

17:33

and then you know once you're sort of a

17:35

a minnow in a vast ocean um that's not a

17:39

good place to be that means that you

17:41

have tons of competitors and you don't

17:43

even know who all the competitors are

17:45

and so you want to be you know you want

17:47

to be a one-of-a-kind company where it's

17:50

the only one in a small ecosystem you

17:52

don't want to be the fourth online pet

17:54

food company you don't want to be the

17:56

10th thin film solar panel company you

17:58

don't want to be the 100th restaurant in

18:00

paloalto um you know restaurant industry

18:02

is a trillion dollar industry so if you

18:03

do a market size analysis youd include

18:05

restaurants are a fantastic business to

18:07

go into and it's often large markets

18:10

large existing markets typically mean

18:13

that you have uh tons of competition

18:15

very very hard to uh to differentiate so

18:18

the first very

18:20

counterintuitive int uh idea is is to go

18:23

after small markets often markets that

18:25

are so small people don't even notice

18:28

them they don't think they make sense

18:30

that's where you get a foothold and then

18:31

um and then if those markets are able to

18:33

expand you can scale into a big monopo

18:38

business um you know um a second uh sort

18:42

of there's sort of several different uh

18:44

characteristics of these Monopoly

18:46

businesses um that I like to um focus on

18:49

and U there's probably no no sort of

18:51

single formula to it and I I always

18:54

think that uh that in technology there's

18:57

always a sense that you know the history

18:58

of technology such that every every

19:00

moment happens only once and so you know

19:03

the next Mark Zuckerberg won't build a

19:05

social network the next uh uh the next

19:07

Larry Page won't be building a search

19:09

engine the next uh Bill Gates won't be

19:10

building an operating system and if

19:12

you're copying these people you're not

19:14

learning from them but it's it's and so

19:16

um there is always um these very unique

19:19

businesses that are doing something

19:21

that's not been done before end up um

19:25

end up having the potential to be a

19:26

monopoly if you're you know the the the

19:28

opening the opening line in um Anna Ken

19:31

is that all happy companies sorry all

19:34

happy families all happy families are

19:37

alike all unhappy families are unhappy

19:39

in their own special way and the

19:41

opposite is true in business where I

19:42

think all happy companies are different

19:45

because they're doing something very

19:46

unique all unhappy companies are alike

19:49

because they fail to escape the

19:50

essential sameness that is competition

19:53

and so so one one sort of characteristic

19:56

of a monopoly technology company is some

19:59

sort of proprietary technology um my

20:02

sort of crazy somewhat arbitrary rule of

20:04

thumb is you want to have a technology

20:07

that's an order of magnitude better than

20:09

the next best thing so Amazon had over

20:12

10 times as many books I it's maybe not

20:13

that Hightech but you figure out a way

20:15

to sell 10 times as many books in an

20:17

efficient online way you know PayPal the

20:19

alternative for PayPal was using um was

20:22

using uh uh checks to uh send money on

20:25

eBay took 7 to 10 days to clear PayPal

20:27

could do it than 10 times as fast so you

20:30

want to have some sort of very uh very

20:33

powerful Improvement in some um on in

20:37

some order maybe an order of magnitude

20:39

Improvement on some key Dimension um of

20:42

course you know if you if you actually

20:43

come with something totally new um it's

20:45

it's it's just like an infinite

20:47

Improvement so I would say the the

20:49

iPhone was the first smartphone that

20:51

worked and so that's you know that's

20:52

like maybe maybe not infinite but it's

20:55

sort of definitely an order of magnitude

20:56

or more of an improvement so I think uh

20:59

the the technology is designed to give

21:02

you a massive Delta over over the next

21:05

the next best thing I think um I think

21:09

there often are network effects that can

21:11

kick in that really help the thing

21:13

that's very um and these these lead to

21:15

monopolies over time the thing that's

21:17

very tricky about Network effects is uh

21:19

they're often uh they're often very hard

21:22

to get started and so um so even though

21:25

everyone understands how valuable they

21:26

are uh there's always this incredible

21:28

tricky question why is it valuable to

21:30

the first person who's doing something

21:33

um economies of scale uh if you have

21:35

something that with very high fixed

21:37

costs very low marginal costs uh that's

21:40

typically a monopoly like business and

21:43

then um then there's this thing uh of of

21:46

branding uh which is sort of like just

21:48

uh this idea that gets lodged in

21:50

people's brains I I never quite

21:52

understand how branding Works uh so I

21:54

never invest in companies where it's

21:55

just about branding but it is I think a

21:57

real phenomenon

21:59

that uh that creates uh that creates

22:00

real value I think one of the things I'm

22:03

going to come back to this a little bit

22:05

towards the end but one of the things

22:06

that's very striking is that software

22:09

businesses are often um are for some

22:12

reason uh very good at some of these

22:14

things they're especially good at the

22:15

economies of scale part because the

22:18

marginal cost of software is zero and so

22:20

if you get something that works in

22:22

software um it's often significantly

22:25

better than the existing solution and

22:28

then you have these tremendous economies

22:29

of scale and you can scale fairly

22:31

quickly so even if the market start

22:33

small um you can grow your business

22:35

quickly enough to uh stay um stay at the

22:39

same size as the growing market and uh

22:41

and maintain the sort of Monopoly uh

22:44

Power now the critical thing about these

22:47

monopolies is um is it's it's not enough

22:50

to have a monopoly for just a moment the

22:53

critical thing is to have one that lasts

22:55

over time um and so you know in Silicon

22:58

value is the sort of idea that you want

22:59

to be the first mover and I I always

23:01

think it's it's in some ways um the

23:04

better framing is you want to be the

23:05

last mover you want to be the last

23:07

company in a category those are the ones

23:10

that are really valuable Microsoft was

23:12

the last operating system at least for

23:14

many decades uh Google is the last

23:16

search engine Facebook will be valuable

23:18

if it turns out to be the last social

23:20

networking site and um and one way to

23:23

one way to think of this uh last mover

23:26

uh value is this idea that most to the

23:28

value in these companies exists far in

23:31

the future um if you do sort of a

23:33

discounted cash flow analysis of a

23:35

business you look at you have sort of

23:37

all these profit streams you have a

23:39

growth rate the growth rate's much

23:41

higher than the discount rate and so

23:43

most of the value exists far in the

23:45

future I did I did this exercise at

23:47

PayPal in March of 2001 we had been in

23:50

business for about 27 months and um and

23:54

we sort of had you know the growth rate

23:56

was 100% a year we were discounting

23:58

future cash flows by about 30% and it

24:01

turned out that about 3/4 of the value

24:03

of the business as of 2001 came from

24:06

cash flows in years 2011 and Beyond and

24:10

um and whenever you do the math on any

24:12

of these tech companies you get to an

24:14

answer that's something like that so if

24:15

you are trying to analyze any of the

24:17

tech companies in Silicon Valley Airbnb

24:19

Twitter uh Facebook um any emerging

24:23

internet companies all the ones in y

24:25

combinator um the math tells you that

24:28

three qus 80 85% of the value is coming

24:32

from cash flows in years 2024 and Beyond

24:35

it's very very far in the future and uh

24:38

and so one of the things that uh we

24:39

always overvalue in Silicon Valley is

24:42

growth rates and we undervalue

24:44

durability because uh growth is

24:46

something you can measure in the here

24:48

and now and you can always track that

24:50

very precisely um the question of

24:52

whether a company's still going to be

24:54

around a decade from now that's actually

24:56

what what dominates the value equation

24:59

and that sort of is a much more uh

25:01

qualitative sort of a thing and so if if

25:04

we um if we went back to this idea of

25:06

these characteristics of Monopoly uh

25:08

proprietary technology Network effects

25:10

economies of scale um um you can think

25:13

of these these characteristics as ones

25:16

that exist at a moment in time where you

25:18

capture a market and take it over but

25:20

you also want to think about are these

25:22

things going to last over time and so

25:24

there's a Time Dimension to all these

25:26

characteristics so Network effects often

25:28

have a great time element where as the

25:30

network scales the network effects

25:32

actually get more robust and so if you

25:33

have a network effect business that's

25:35

often one that uh um can become a um a

25:40

bigger and stronger Monopoly over time a

25:43

proprietary technology is always a

25:45

little bit of a tricky one so you want

25:46

something that's an order of magnitude

25:48

better than uh the state-of-the-art in

25:51

the world today and that's how you get

25:53

people's attention that's how you

25:55

initially break through but then um you

25:57

don't want to be superseded by somebody

25:59

else and so there are all these areas of

26:01

innovation where there was tremendous

26:03

Innovation but no one made any money so

26:05

uh you know dis Drive Manufacturing in

26:07

the 1980s um you could you could do a

26:10

better dis build a better dis Drive than

26:12

anybody else you could take over the

26:14

whole world and two years later someone

26:16

else would come along and replace yours

26:18

and in the course of 15 years you got

26:21

vastly improved disc drives so it had

26:23

great benefit to Consumers but um it

26:26

didn't actually help the people who

26:27

started these compan compies and so

26:29

there's always this question about

26:31

having a huge breakthrough in technology

26:34

but then also being able to say explain

26:37

why uh yours will be the last

26:39

breakthrough uh or at least the last

26:40

breakthrough for a long time or will you

26:42

make a breakthrough and then you can

26:44

keep improving on it at a quick enough

26:46

Pace that no one can ever catch up so if

26:48

you have a structure of um a structure

26:52

of the future where there's a lot of

26:54

innovation and other people will come up

26:56

with new things in the thing you're

26:57

working on um that's great for society

27:00

it's um it's actually not that good for

27:02

your business typically um and then um

27:06

economies of scale uh where I talked

27:08

about so so I think anyway so I think

27:10

this last mover thing is is very

27:11

critical I'm always tempted you know I

27:14

don't want to overdo the chess analogies

27:15

but you know the first mover in chess is

27:17

someone who plays white white is about a

27:19

one-third of a pawn Advantage so there's

27:21

a small advantage to uh going first you

27:24

want to be the last mover um who who

27:26

wins the game and so so was the Kappa

27:29

Blanca uh world champion uh uh chess

27:31

champion Kappa Blanca line you must

27:33

begin by studying the end game and and I

27:35

do think that's um well I wouldn't say

27:37

that's the only thing you should study I

27:39

think this uh the sort of perspective of

27:41

asking these questions why will this

27:43

still be the leading company 10 15 20

27:45

years from now is a uh is a really

27:47

critical one to to try to think

27:50

through let me um let me sort of uh I

27:54

want to sort of go in two slightly other

27:56

directions with this Monopoly versus

27:58

competition idea and I think um so I

28:01

think this is the the central idea uh in

28:05

my mind for for business for starting

28:06

business for thinking about them and U

28:08

and there are some some very um

28:10

interesting perspectives I think it

28:11

gives on the whole you know on the whole

28:14

history of innovation and technology and

28:16

science because um you know we we've

28:19

lived through um we've lived through um

28:23

you know 250 300 years of incredible

28:26

technological progress in you know many

28:28

many different domains uh you know steam

28:31

engine to Railways

28:34

to telephones Refrigeration household

28:37

appliances um you know the computer

28:40

Revolution Aviation all sorts of

28:43

different areas of technological

28:44

innovation and then there's sort of

28:46

analogous thing that one can say about

28:48

science where uh we've lived through

28:50

centuries of of enormous amounts of

28:52

innovation in in in science as well and

28:56

um and the the thing that I think um

28:59

people always miss when they think about

29:02

these things is um is that um because X

29:05

and Y are independent variables um some

29:08

of these things can be extremely

29:10

valuable Innovations but uh the people

29:13

who invent them who come up with them do

29:15

not get rewarded for this and uh and

29:17

certainly if you go back to um you need

29:19

to create X dollars in value you capture

29:22

y% of X I would suggest that the history

29:25

of science has generally been one where

29:27

y 0% across the board the scientists

29:30

never make any money um they're always

29:33

duded into thinking that they live in a

29:35

just universe that will reward them for

29:37

their work and for their inventions and

29:39

this is probably the fundamental

29:41

delusion that uh that scientists tend to

29:43

suffer from in our in our society um and

29:46

and even in technology there are sort of

29:49

many different areas of Technology where

29:51

um where there were great innovations

29:54

that created tremendous value for

29:55

society but uh but people did not uh did

29:59

not actually capture uh that much of the

30:01

of the value and so I think there is

30:03

this sort of whole uh history of um

30:07

science and technology that can be told

30:10

from the perspective of how much value

30:12

was actually captured and um and

30:16

certainly there are entire sectors where

30:18

people didn't capture anything so you

30:21

you're the smartest physicist of the

30:23

20th century you come up with special

30:25

relativity you come up with general

30:26

relativity you don't get to be a

30:28

billionaire you don't even get to be a

30:29

millionaire um it just it just somehow

30:32

doesn't work that way um the railroads

30:35

incredibly valuable most of them just

30:37

went bankrupt because it was too much

30:39

competition um right Brothers um you fly

30:42

the first plane you don't make any money

30:44

and so I think there is sort of the

30:45

structure to these industries that's uh

30:47

that's very important um and I think the

30:50

uh the thing that's actually rare are

30:52

the success cases most the so it's

30:54

actually you really think about the

30:56

history in this in this 250 years sweep

30:58

um it's unus Y is almost always 0% it's

31:01

always zero in science it's almost

31:03

always in in technology and so it's very

31:05

rare where people made money you know

31:08

the early uh the late uh 18th early 19th

31:10

century the first Industrial Revolution

31:12

was the textile mills you had the steam

31:14

engine you sort of automated things and

31:16

you had these Relentless improvements

31:18

that people improved efficiency of

31:20

textile factories of manufacturing

31:22

generally at a clip of 5 to 7% every

31:25

year year after year decade after decade

31:27

you had 60 70 years of tremendous

31:30

improvement from 1780 to

31:34

1850 um but even in 1850 most of the

31:37

wealth in Britain was still held by the

31:40

landed aristocracy uh the workers didn't

31:42

you know the workers didn't make that

31:43

much the capitalists didn't make that

31:45

much either it was all competed away

31:46

there were hundreds of people running

31:48

textile factories it was an industry

31:50

that just uh um the structure of the

31:53

competition prevented people uh from

31:55

from making any money um and so I I

31:57

think there are in my mind there

31:59

probably are only two broad categories

32:02

in the entire history of the last 250

32:04

years where people have actually uh come

32:07

up with new things and made money doing

32:09

so um one is uh these sort of vertically

32:12

integrated complex monopolies which

32:14

people uh did build in the Second

32:17

Industrial Revolution at the end of the

32:19

19th and start of the 20th century and

32:21

so this was like Ford it was the

32:23

vertically integrated oil companies like

32:24

Standard Oil um and what these

32:27

vertically integrated monopolies uh

32:29

typically required was this very complex

32:31

coordination you got a lot of pieces to

32:33

fit together in just the right way uh

32:36

when you assembled it you had a

32:37

tremendous Advantage this is actually uh

32:40

done surprisingly little today and so I

32:42

think this is sort of a business form

32:44

that um when people can pull it off is

32:47

very valuable it's typically fairly

32:49

Capital intensive uh we live sort of in

32:52

a in a in a culture where it's very hard

32:54

to get people to buy into anything

32:57

that's super complicated and takes very

32:59

long to build uh but I you know when I

33:01

sort of think about my colleague Elon

33:03

Musk from PayPal success with Tesla and

33:06

SpaceX uh I think the key to these

33:09

companies was the complex vertically

33:11

integrated Monopoly structure they had

33:14

so if you sort of look at Tesla or

33:16

SpaceX if you ask you know was there

33:18

sort of a single breakthrough I mean

33:20

they certainly innovated on a LW of

33:22

Dimensions I don't think there was a

33:23

single 10x breakthrough in battery

33:26

storage or you know

33:28

maybe working on some things on rocketry

33:30

but they hadn't there was no sort of

33:31

single massive breakthrough but what was

33:34

really impressive was integrating all

33:36

these pieces together and um and doing

33:39

it in a way that was more vertically

33:40

integrated than most of their

33:41

competitors so Tesla you also integrated

33:44

The Car Distributors so they wouldn't uh

33:46

steal all the money as has happened with

33:48

the rest of the car industry in the US

33:49

or SpaceX um you basically uh pulled in

33:53

all the

33:54

subcontractors um uh where most of the

33:56

large uh Aerospace companies have single

33:58

Source subcontractors that are able to

34:00

sort of charge Monopoly profits and make

34:03

it very hard for the integrated

34:05

aerospace companies to make money um and

34:07

so uh vertical integration I think is

34:10

sort of a a very underexplored modality

34:12

of of technological progress that people

34:15

uh would uh would do well to look at

34:17

more and then I think there is there is

34:20

something about software itself that's

34:22

very very powerful um software has these

34:25

incredible economies of scale these low

34:27

margin costs and there is something

34:29

about the world of bits as opposed to

34:31

the world of atoms where you can often

34:33

get very fast adoption and and the fast

34:36

adoption is critical to capturing and

34:38

taking over markets because even if you

34:40

have a small Market if the adoption rate

34:42

is too slow there'll be enough time for

34:44

other people to enter that market and

34:46

compete with you whereas if you have a

34:48

small to midsized Market and have a fast

34:50

adoption rate you can uh take over this

34:52

market and so and so I think this is one

34:54

of the reasons Silicon Valley has done

34:56

so well and why software has been of

34:59

this phenomenal industry and what I what

35:01

I would suggest what I would want to

35:03

leave you with is there are sort of

35:04

these different rationalizations people

35:07

give for why certain things work and why

35:10

certain things don't work and I think

35:12

these rationalizations always obscure

35:14

this question of um creating X Dollar in

35:17

value and capturing y% of X so the

35:20

science rationalization we're always

35:22

told is that the scientists aren't

35:23

interested in making money they're doing

35:25

it for charitable reasons and that not a

35:28

good scientist if you're motivated by

35:29

money and I'm not even saying people

35:31

should always be motivated by money or

35:33

something like this but I I think we

35:35

should we should be a little bit more

35:37

critical of this as a rationalization we

35:39

should ask is this a rationalization um

35:42

uh to obscure the fact that y equals 0%

35:45

and the scientists are operating in this

35:48

uh in this sort of world where all the

35:50

uh all the Innovation is effectively

35:52

competed away and they can't capture any

35:54

of it directly and then the uh the

35:56

software Distortion that often happens

35:59

is because people are making such vast

36:01

Fortunes in software we infer that this

36:04

is the most valuable thing um in the

36:06

world being done full stop and so if

36:08

people at Twitter make uh billions of

36:10

dollars it must be that Twitter is worth

36:13

far more than anything Einstein did um

36:16

and um and uh and what that sort of

36:18

rationalization tends to obscure is

36:20

again that X and Y are independent

36:22

variables and there are these businesses

36:24

where you capture a lot of X and there

36:26

are others where you don't and so uh and

36:28

so I do think um I do think the history

36:30

of innovation has been this uh this

36:32

history where uh the the the the

36:35

microeconomics the structure of these

36:37

industries has mattered a tremendous

36:38

amount and when um and um and and and

36:42

there is sort of this the story where

36:44

some people have made vast fortunes

36:46

because they were in Industries with the

36:47

right structure and other people uh made

36:50

uh nothing at all because um because

36:53

they were in these sort of very

36:54

competitive things and we shouldn't just

36:56

rationalize that way I think it's worth

36:58

understanding this better and then

36:59

finally let me come back to this this uh

37:03

this sort of overarching theme for this

37:05

talk this competition is for losers idea

37:08

which um is always this provocative way

37:10

to to title things because we always

37:13

think of the losers as the people who

37:15

are not good at competing we think of

37:17

the losers as the people who are um slow

37:20

on the sports on the track team in high

37:22

school or who do a little bit less well

37:24

on the standardized tests um and don't

37:26

get into the right schools and so we

37:29

always think of losers as people who

37:30

can't compete um and I want us to really

37:33

rethink and and revalue this and

37:36

consider whether it's possible that

37:38

competition itself um is off that we we

37:41

we're sort of it's not just the case

37:43

that we don't understand this Monopoly

37:44

competition dichotomy intellectually so

37:47

sort of been talking about why why you

37:49

wouldn't understand it intellectually

37:50

because um people lie about it it's

37:52

distorted we have all these uh the

37:55

history of innovation rationalizes what

37:57

happen in all these very very strange

37:59

ways but I think it's more than just an

38:01

intellectual blind spot I think it's

38:02

also a psychological blind spot where we

38:05

find ourselves you know very very

38:06

attracted to competition in in one form

38:09

or another um we find it reassuring if

38:11

other people do things the word ape

38:14

already in the time of Shakespeare meant

38:15

both primate and imitate uh and there is

38:18

something about human nature that's

38:19

deeply mimetic imitative apik sheeplike

38:23

leming like cd-like um and it's this

38:26

very very problem

38:28

uh thing that we need to always think

38:30

through and try to overcome and and

38:32

there is always this question about um

38:35

competition um as as a form of

38:38

validation where we we go for things

38:40

that lots of other people are going for

38:43

and um it's not that there is wisdom in

38:45

crowds it's not when lots of people are

38:46

trying to do something that that's proof

38:48

of uh it being valuable I think it's

38:50

when lots of people are trying to do

38:51

something that is often um that is often

38:54

proof of insanity there 20,000 people a

38:56

year who move to Los Angeles to become

38:58

movie stars about 20 of them make it um

39:01

I think the Olympics are a little bit

39:02

better because you have a you know um

39:05

you can sort of figure out pretty

39:06

quickly whether you're good or not so

39:07

it's there's a little bit less of a dead

39:09

weight loss to society um you know um um

39:13

you know your your the sort of

39:15

educational experience at a place uh the

39:17

the the pre- Stanford educational

39:19

experience um there's always sort of a

39:20

non-competitive characterization I think

39:22

most of the people in this room had

39:24

machine guns they were competing with

39:25

people with bows and arrows so um it

39:27

wasn't exactly a parallel competition

39:29

when you were in junior high school and

39:30

high school um there's always a question

39:33

does the tournament make sense as you

39:34

keep going and this is uh and so um

39:37

there is always this question if people

39:39

go on to grad school or post

39:41

post-doctoral educations does the

39:43

intensity of the competition really

39:45

makes sense there's the uh the you know

39:47

classic uh Henry Kissinger line that uh

39:49

um describing his fellow faculty at

39:52

Harvard that the uh um the battles were

39:55

so ferocious because the stakes were so

39:57

small describing sort of Academia and um

40:00

and and you sort of think on one level

40:01

this is a description of insanity you

40:03

know why would people fight like crazy

40:05

when the stakes are so small but it's

40:07

also I think simply a function of the

40:09

logic of the situation when it's imp

40:12

really hard to differentiate yourself

40:13

from other people when the differences

40:15

are when the objective differences

40:17

really are small then uh you have to uh

40:19

compete ferociously to maintain uh a

40:22

difference of one sort uh or another um

40:25

that's often more imaginary than real

40:27

there's always sort of a personal uh

40:29

version of this that I I tell where um

40:31

you know I was sort of hyper hypert

40:33

tracked I you know my e8th grade Junior

40:35

High School yearbook one of my friends

40:36

wrote in you know I know you'll get into

40:38

Stanford in four years as a sophomore I

40:41

sort of went into went to Stanford four

40:42

years later uh at the end of High School

40:45

uh went to Stanford Law School uh you

40:47

know ended up um at a big law firm in uh

40:50

New York uh where from the outside

40:52

everybody wanted to get in on the inside

40:54

everybody wanted to leave um and and you

40:57

had um and it was this very strange

40:59

Dynamic where after I uh sort of

41:01

realized this was maybe not the best

41:03

idea um and left after seven months and

41:06

3 days you know one of the people down

41:08

the hall from me uh told me um it's

41:11

really reassuring to see you leave Peter

41:12

I had no idea that it was possible to

41:14

escape from alcatra which of course all

41:16

you had to do was go out the front door

41:18

and not come back but um but so much of

41:21

people's identities got wrapped up in um

41:24

in winning uh these competitions that uh

41:27

they somehow lost sight of what was

41:28

important what was valuable uh you know

41:31

competition does make you better at

41:33

whatever it is that you're competing on

41:35

because when you're competing you're um

41:37

comparing yourself with the people

41:38

around you you're figuring out how do I

41:40

beat the people next to me how do I do

41:41

somewhat better at whatever it is

41:43

they're doing and you will get better at

41:45

that thing I'm not I'm not questioning

41:47

that I'm not denying that but um but it

41:49

often comes at this tremendous price

41:52

that uh you stop asking some bigger

41:54

questions about what's truly important

41:56

and truly Valu

41:57

and so I would I would say that don't

41:59

always go through the tiny little door

42:01

that everyone's trying to rush through

42:03

maybe go around the corner and go

42:04

through the vast gate that no one's

42:06

taking thank you very

42:09

much I guess we time for you want to

42:12

take a few questions

42:16

or

42:19

sorry oh yeah people want to take I'll

42:22

take a few questions we have a few

42:23

minutes time yeah go ahead um since yeah

42:27

as you mentioned earlier often

42:28

monopolies and competition often look

42:30

similar because the narratives people

42:32

tell the narratives we tell

42:33

ourselves do you have any ways to easily

42:36

determine the difference when you're

42:37

looking at an idea or evaluating your

42:39

own idea well I'd say the question I'm I

42:42

always try to focus on is what is the

42:44

actual market so not what's The

42:45

Narrative of the market because you can

42:47

always tell a fictional story about a

42:48

market that's much bigger or much

42:49

smaller but what is the what is the real

42:52

objective market so it's always yeah you

42:54

always try to figure it out and you

42:56

realize people have incentive to distort

42:59

things yeah so which of the aspects of

43:02

monop that you mentioned would you say s

43:04

like

43:06

Google um well they have uh they have

43:09

Network effects with the the ad Network

43:12

they had proprietary technology that

43:14

gave them the initial lead because they

43:15

had the the page rank algorithm which

43:17

was uh sort of an order of magnitude

43:19

better than any other search search

43:20

engine you have economies of scale uh

43:24

because of the need to store you know

43:25

all these different uh sites and at this

43:27

point you have brand so Google has all

43:28

four maybe maybe the proprietary

43:30

technology is somewhat weaker at this

43:32

point but definitely it had all four and

43:34

maybe three and a half out of four now

43:37

yeah how does this apply to paler and

43:39

second what's you like second is what

43:42

what with the iPhone uh head oh this is

43:45

that's that's a that's a there sort of a

43:47

set of companies that are doing

43:48

different copycat payment systems on on

43:50

mobile phones there's square there's

43:52

PayPal sort of they have just they just

43:54

have sort of different shapes that's how

43:55

they differentiate themselves one is a

43:56

triangle one is a square um and so you

43:59

know um maybe at some point the Apes

44:01

will run out of shapes or something like

44:02

that but um but I think um no palent

44:05

here we we started with a focus on on um

44:07

the um intelligence Community which is

44:09

small submarket um you had a proprietary

44:12

technology that used a very very

44:14

different approach um uh where it was

44:17

focused on the human um computer uh

44:22

synthesis rather than the uh uh sub

44:24

substitution which I think is the

44:25

dominant Paradigm so there's a whole set

44:27

of things I would say on the on the

44:28

market approach and the the proprietary

44:32

technology uh yes um we have design

44:36

thinking methodology and uh lean uh

44:39

startup thinking um which is used to

44:42

mitigate Risk by not creating things

44:44

that people don't want but how do young

44:45

innovators uh have inspiration to create

44:48

complex systems that last through time

44:51

can you repeat the question yeah so the

44:52

question is um what do I think about

44:54

lean startups uh um iterative thinking

44:56

where you get uh feedback from people uh

44:58

versus uh complexity that may not work

45:01

so I I am personally quite skeptical of

45:04

all the uh Lean Startup methodology I

45:06

think the the the really great companies

45:09

um did something was sort of somewhat

45:11

more of a Quantum Improvement that

45:14

really differentiated them from

45:15

everybody else um they they typically

45:18

did not do massive you know customer

45:21

surveys the people who ran these

45:23

companies uh sometimes not always

45:24

suffered from mild forms of Asbergers so

45:26

they we not actually that influenced not

45:28

that easily deterred by what other

45:29

people thought or told them to do um so

45:32

I I do think we're we're way too focused

45:34

on um iteration as a modality and not

45:37

enough on trying to um have um you know

45:40

um a virtual ESP link with the public

45:44

and figuring it out ourselves um I I

45:46

would say that uh let me see um I would

45:49

say that uh the um I I'm not quite the

45:52

risk question I think is always a very

45:54

tricky one because there are um

45:57

you know there there it's it's not it's

46:00

often I think it's often the case that

46:01

you don't have enough time to really

46:04

mitigate risks if you if you're going to

46:05

take enough time to figure out what

46:06

people want um you often will have

46:09

missed the boat by then um and um and

46:12

then of course there's always the risk

46:14

of of doing something that's uh that's

46:17

not that uh significant or meaningful so

46:19

you know you you could say a track in um

46:22

in law school is a lowrisk track from

46:25

one perspective it may still be a very

46:27

highrisk track in the sense that maybe

46:29

you not um have a high risk of not doing

46:31

something meaningful with your life so

46:33

we have to think about risk in these uh

46:34

in these very complicated way I think

46:36

risk is sort of this very uh complicated

46:38

concept yes you talking about the last

46:40

move Advantage but then doesn't that

46:42

imply that there's already competition

46:43

to begin with chest piece on the chest

46:46

board um yeah so there's always this uh

46:49

terminology thing so I I would say that

46:52

uh there are uh there are categories in

46:55

which people sort of are bundled

46:57

together I would say the Monopoly

46:59

businesses were in in effect they they

47:01

really were a big first mover in some

47:03

sense you could say you could say Google

47:05

was not the first search engine there

47:06

were other search engines before but on

47:09

one dimension they were dramatically

47:10

better than everybody else so they were

47:12

the first one with page rank with with

47:14

sort of a automated approach um Facebook

47:16

was not the first uh social networking

47:19

site my friend Reed Hoffman started one

47:21

in 1997 they called it social net so

47:23

they already had the name social

47:25

networking uh in the name of their

47:27

company seven years before Facebook uh

47:30

their idea was that it was going to be

47:31

this virtual cyers space where I'd be a

47:33

dog and you'd be a cat and we'd have all

47:35

these different rules about how we'd

47:36

interact with each other in this virtual

47:38

alternate reality Facebook was the first

47:39

one to get real identity so it was so

47:42

I'd say I hope Facebook will be the last

47:44

social networking site it was the first

47:46

one in a very important Dimension people

47:48

often would not think of it as the first

47:50

because they'd sort of lump all these

47:51

things together I have one more question

47:54

okay one more question let's take one

47:55

here uh if theoretically someone who uh

47:59

worked at Goldman Sachs out of college

48:00

and left out 6 months and is now

48:02

studying computer science at Stanford uh

48:04

how would you recommend

48:06

rethinking

48:12

that um you know I don't I don't have a

48:15

I don't have a great um I'm not great at

48:18

the Psychotherapy stuff so I don't I

48:19

don't quite know how to I don't quite

48:22

know how to uh how to solve this that

48:24

there are these um you know there are

48:25

these very odd stud they've done on

48:27

people who go to um business school

48:29

there one they've done at Harvard

48:30

Business School where um it's sort of

48:32

the anti- asberg um personality where

48:35

you have people who are super

48:36

extroverted uh generally have low

48:38

convictions uh few ideas and you have

48:41

sort of a hot house environment you put

48:43

all these people in for two years and at

48:45

the end of it uh they systematically end

48:47

up the largest cohort systematically

48:49

ends up doing the wrong thing they try

48:50

to catch the last wave you know uh 1989

48:53

everyone at Harvard tried to work for

48:54

Mike milin it was one or two years

48:56

before he went to jail for all the junk

48:58

bond stuff they were never interested in

49:00

Silicon Valley OR tech except for 99

49:01

2000 when they timed the bubble peing

49:05

perfectly um they did uh and then you

49:07

know 05 to7 was housing uh private

49:10

Equity stuff like this so so I do think

49:12

um I do think this uh tendency for us to

49:16

see competition as validation is um is

49:19

very deep um I don't think there's some

49:22

any sort of easy psychological formula

49:25

to uh to avoid it so I don't I I don't

49:27

quite know how to uh what sort of

49:28

therapy to to recommend but um but my my

49:32

my first my first starting point which

49:34

is only like it's maybe 10% of the way

49:36

is to never underestimate how big a

49:38

problem it is we always think this is

49:40

something that afflicts other people so

49:41

it's easy for me to point to people in

49:43

Business Schools or people at Harvard or

49:45

people on Wall Street I think it

49:47

actually does afflict all of us to a

49:48

very profound degree we always think of

49:50

advertising is things that work on other

49:51

people how who are all these stupid

49:53

people who fall for All Those ads on TV

49:56

they obviously work to some extent and

49:58

they work uh to a disturbing extent on

49:59

all of us and it's something we we all

50:01

should work to

50:02

overcome thank you very much

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