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Gavin Baker's Discussion on Investing with Columbia Student Investment Management Association

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Gavin Baker's Discussion on Investing with Columbia Student Investment Management Association

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2096 segments

0:14

thank you everybody and for downloading

0:17

this is the first event we're co-hosting

0:19

at SEMA and Technology Business Group

0:21

after the transition to the virtual

0:23

learning environment I'm really excited

0:25

to welcome Gavin Baker to this far side

0:28

chat and what we'll do is to sort of

0:31

have a moderated discussion for the

0:32

first call it 30 to 45 minutes and open

0:35

up the Q&A for everyone after if I could

0:39

just ask everyone to direct their

0:41

questions over private message to

0:43

Danielle and she will be sort of

0:45

moderating the Q&A section after that

0:48

would be great

0:49

no before begin I'd love to introduce

0:51

Gavin as the co fat as the founder of

0:54

CIO of the tradies management prior to

0:57

founding Atreides in 2019 Gavin was at

1:00

fidelity investments to 2017 most

1:03

recently as the portfolio manager of the

1:05

fidelity OTC portfolio he also

1:08

spearheaded helped spearhead

1:10

fidelity's venture capital investing

1:12

from 2013 to 2017 I came across Gavin as

1:16

I mentioned during an investment to best

1:19

podcast late last year when he shared a

1:21

lot of insights about technology and

1:24

investing his Twitter feed is also

1:26

pulled in size and we encourage you all

1:28

to follow him to learn more about its

1:29

thoughts real time we're really grateful

1:32

to have him share his time and insight

1:34

with respect to the markets technology

1:36

business landscape especially so during

1:39

the Cova 19 crisis yeah Ben thank you

1:41

again for your time and you know hope

1:43

you're well and doing well with the

1:45

social distancing at home yeah thanks

1:48

David and thank you for all the kind

1:49

words that was a very nice introduction

1:51

of course at least we could do so you

1:54

know obviously kovat 19 has been the

1:56

topic of mind and we'd love to talk

1:58

about what we look like on the other

2:01

side but before we get there's love to

2:03

really just start with how and when did

2:07

you realize this was gonna be as bad it

2:09

is and what did you do to get there and

2:11

what did you do to prepare sure so first

2:17

I should say I am I I'm prone to

2:22

conspiracy theories you know and I've

2:25

read all of Nicolas Nassim Taleb

2:28

so kind of always looking for black

2:30

swans so I think that that was an

2:34

advantage and I was certainly early to

2:36

Cove it but you know I think I'm

2:39

probably 115 on worrying about black

2:43

swans in other words have been a lot of

2:45

things that I'm worried about that

2:48

didn't happen

2:49

so I don't think you know if if I was

2:53

early to Cove it I don't think it's a

2:56

sign of an unusual ability to you know

3:01

forecast or anticipate black swans it's

3:04

more just you know kind of a even a

3:07

broken clock is Right what once a day I

3:11

just have a proclivity for I guess

3:14

worrying about things like this but i

3:18

according to according to our trader and

3:20

i guess it's a in one of the minutes of

3:25

one of our investment team meetings I

3:26

said and January that I thought kovat

3:28

could be the biggest Black Swan I'd seen

3:31

in my career and I would say that I

3:33

think Twitter was actually super super

3:37

helpful to to forming that view and

3:40

being early too early to worry about it

3:44

there are a lot of people in the tech

3:46

community and Twitter I kind of think of

3:49

myself I follow finance Twitter

3:51

technology Twitter picture capital

3:54

Twitter politics Twitter and video game

3:57

Twitter you know there's kind of five

3:58

distinct sub Twitter's that I follow but

4:01

I'd say technology and venture capital

4:03

Twitter were very early to be worried

4:05

about kovin and then I just started to

4:10

think about what China was doing

4:11

relative to what they were saying and

4:16

it's one of the more extreme actions any

4:18

government has ever taken during

4:20

peacetime in the last hundred years so I

4:25

started to think about that the market

4:27

was at all-time highs and then my my

4:31

birthday is February 21st my wife's

4:35

birthday is February 22nd and

4:39

weekend of my birthday we have a kind of

4:43

a big joint birthday party so we had a

4:45

lot of friends in town but the weekend

4:47

of my birthday for whatever reason a lot

4:51

of things just clicked someone on

4:56

Twitter named super Mugatu

4:57

whose real name is Dan McMurtry had

4:59

written a thread that was incredibly

5:01

prescient I think some time and he was

5:04

one of the people in January in February

5:05

his very early to be I'm worried about

5:07

this he runs a hedge fund that he

5:09

started and founded called Tyra Capital

5:11

Partners I believe he wrote a thread

5:14

that really resonated me on the risks

5:16

from the coronavirus and he actually

5:20

recommended that I just seem couple of

5:24

epidemiologists who are world class were

5:25

saying on Twitter and it's really

5:28

amazing that weekend all they all and

5:31

this is you know I guess Scott Gottlieb

5:33

is not an epidemiologist but there's I

5:36

only know their Twitter handles and

5:39

Lipschitz

5:40

I think it's Marc Lipschitz who's an

5:42

epidemiologist who runs a Center at

5:44

Harvard

5:46

Tommy Inglesby who I believe runs the

5:48

Center for Epidemiology Johns Hopkins

5:51

someone whose handle is a mesh double-a

5:54

they all basically started saying this

5:57

is over you know we are past containment

6:02

this is going to be a pandemic and now

6:05

we need to focus on mitigation and that

6:09

was incredible and I looked at what they

6:11

were saying relative to what was being

6:12

discounted in the market and then

6:15

coincidentally a good friend of mine

6:18

who's a very prominent venture

6:21

capitalist messaged me to say hey that

6:24

they're seeing big supply chain

6:25

disruptions and he thought that it was

6:27

going to be a really big deal and then I

6:30

have I'm lucky enough to be friends with

6:35

an older gentleman who I think is one of

6:37

the world's great macro investors and we

6:39

made a deal where he can always call me

6:42

and ask me anything about technology

6:43

anything about growth stocks and in

6:46

return he will just tell me when he

6:48

whenever he gets worried

6:51

and so he called me on Sunday and just

6:54

said that he was worried to cancer all

6:56

those things kind of click yeah I kind

6:59

of I owe I owe Twitter a lot and I'm

7:04

happy to give you loads of examples of

7:06

all the other black swans I worried

7:07

about that did not come to pass so

7:10

please don't think that I have it all

7:11

unusually prescient with things like

7:13

this so over the sort of course of this

7:17

crisis what surprised you the most

7:21

prized me the most and I alluded to it

7:24

on Patrick's podcast is the extent to

7:27

which you got paid for doing really

7:29

obvious things you know just you in this

7:35

in probably some point in the second

7:38

week of March you just thought wow

7:40

hotels and cruise lines and casinos they

7:45

just can't and Airlines they just can't

7:47

go down anymore and at the same time you

7:51

thought wow Walmart Kroger Amazon

7:55

Netflix the stay-at-home zoom the stay

7:59

at home work from home beneficiaries

8:01

Clorox they can't go up and just long

8:07

after it felt like it was super obvious

8:10

like that to me was probably became

8:11

super obvious sometime in the first week

8:13

of March if not sooner you could

8:17

generate almost a lifetime's worth I

8:20

mean you could have generated a

8:21

lifetime's worth worth of alpha by doing

8:25

the most obvious thing imaginable which

8:29

was hard for me because I think as an

8:31

investor you know sorry if ever people

8:33

some of the things I said oh Patrick's

8:35

podcast you were really trained to never

8:37

do obvious things to assume that if it's

8:40

obvious it's discounted and it just

8:42

wasn't and it was the crazy thing

8:45

because that was the same observation I

8:47

had an eight oh nine we're doing the

8:51

really really obvious thing just selling

8:54

all of your financials really really

8:56

paid yeah that was

9:00

I guess it's a lesson that I'll have to

9:03

learn

9:03

than once that was by far the most

9:05

surprising thing to me of everything in

9:08

the market so far right and you know

9:11

certainly you sort of talked about the

9:15

wide range of outcomes that we can

9:18

possibly have and so we've been really

9:20

lucky to have a lot of investors come

9:22

through and talk about what their views

9:24

are on the barkins and the opinions

9:27

range from this is the best buying

9:30

opportunity in a generation - this is

9:33

arm again and can you maybe sort of talk

9:36

about that in sort of relation to the

9:39

idea that you sort of mentioned about

9:41

how sensitive we are to initial

9:43

conditions and in terms of how we come

9:46

out the other end

9:47

yeah I mean I guess you know I am sure

9:53

there are many there are many paths to

9:55

being a great investor but for me

10:00

humility and kind of flexibility are

10:02

really important so I don't have a high

10:05

conviction view I think that this is a

10:07

low conviction time with a really wide

10:11

range of outcomes and I'm trying not I

10:15

think what think it's dangerous one

10:17

reason that one thing that I was nervous

10:20

about before I started tweeting more I

10:22

was worried that any time you give an

10:24

opinion you become biased and less

10:28

open-minded so I am trying to stay open

10:31

to all possibilities so I don't think

10:37

this is a high conviction time I mean we

10:39

can say that statistical evaluation

10:40

spreads maybe ten days ago reach levels

10:45

that have all only been seen during the

10:47

Great Depression in oh eight oh nine so

10:49

statistically just has it from a long

10:51

short opportunity set you were literally

10:54

at a you know once in a 30-year

10:57

environment so but a rich opportunity

11:02

set to me does not translate to having a

11:05

really high conviction view on what's

11:08

going to happen and I think the reasons

11:12

to be flexible and humble and recognize

11:15

there are a wide range of outcomes are

11:17

first this is unprecedented in a 8:09

11:21

everybody could read The Forgotten man

11:23

by a MIDI Shui is everybody read the

11:25

panic of 1907 you could read the Carmen

11:27

Reinhart book there were analogues in

11:30

2000 there had been lots of other

11:32

bubbles before like that was just a

11:35

really classic stock market bubble and

11:37

you know we have good records of the

11:39

tulip to a bubble and the South Sea

11:41

Bubble and you know a railroad bubble so

11:45

there were kind of road maps that we

11:47

could use in Oh 809 in 2000 but nothing

11:52

like this has ever happened before we've

11:54

we haven't had a global pandemic and a

11:57

network you know social media internet

12:03

driven economy we have and the economy

12:06

has never just stopped like this so

12:09

there is no historical analogue that we

12:12

can look to to guide our thinking and we

12:16

don't know a lot about the virus right

12:18

now so I think what do you put that all

12:22

of that together we are in a time of

12:24

high uncertainty you know uncertainty

12:25

for versus risk we we just flat-out

12:28

don't know what the outcomes are there

12:30

are large numbers of unknown unknowns so

12:32

I am trying to be open to a lot of

12:35

different scenarios and think about what

12:39

I would do in each scenario you know a

12:43

snapback where everybody you know men

12:46

you know maybe there's one scenario

12:47

where you know we've had more stimulus

12:50

than has ever been applied to economy in

12:53

history and more stimulus applied and a

12:56

faster more concentrated and not re

12:58

probably more intelligent way than I've

13:01

ever seen both monetary and fiscal you

13:04

know so if it turns out that warm

13:06

weather is gonna really slow this virus

13:07

down and America goes back to work Wow

13:10

there could be you know the the snapback

13:13

rally of all snapback rallies and it

13:15

makes what we've seen seem like nothing

13:16

on the other hand you know the virus

13:19

it's like it it is currently mutating at

13:21

one-third the rate of the flu if that

13:23

rate of mutation accelerates if warm

13:25

weather doesn't slow it down

13:28

warm weather will slow it down because

13:31

it's aerosol born and it's just a matter

13:33

of physics that droplets crowd travel

13:35

this far in humid weather but if you

13:39

know if we don't have improved

13:40

treatments if if ultraviolet radiation

13:42

doesn't kill them IRS if it comes back

13:44

really quickly as soon as we relax

13:46

social distancing then we could be in

13:49

for a much more dire scenario where we

13:52

really need to wait till a vaccine which

13:54

is probably gonna be 15 to 21 months

13:56

away so I think it's this is a time for

13:59

humility and flexibility not conviction

14:02

I am happy to have conviction on

14:05

earnings power and free cash flow

14:07

generation power for companies looking

14:09

out five to seven years and invest based

14:12

upon that and but that goes to those

14:14

long short you know valuation spread

14:18

opportunities as opposed to having a

14:20

really high conviction view on something

14:23

where we have no historical analogues

14:25

and we still don't have a lot of

14:26

important information that that that

14:31

feels that feels better to me but you

14:34

know there are many there are many paths

14:36

many paths to investing success and

14:39

everybody has to find what works for

14:40

them right and so maybe to follow up on

14:44

that what are their what are some of the

14:46

key signposts you're looking for to

14:49

inform you of which one of these many

14:52

iterations and paths we could take sure

14:58

well so so a few things if I i I've

15:05

talked a lot internally about how this

15:08

was a three body problem in late

15:11

February and early March the Chinese

15:17

science fiction series is one of my

15:20

all-time favorite works of science

15:23

fiction and and a three body problem

15:27

just means that you know you have three

15:31

planetary bodies exerting gravitational

15:34

influences on each other and there's no

15:36

way to model it although I do have a

15:39

good friend

15:39

was very good at physics who assures me

15:41

that that is true although that I look

15:43

it up on Wikipedia and apparently it is

15:45

a classic physics problem but it is we

15:50

had a three body problem in late

15:54

February early March with politics the

15:57

virus in the economy and I was very

16:01

worried and this is not meant to be a

16:02

political statement at all but I think

16:04

most people can agree that a Sanders

16:05

presidency would not have been positive

16:07

for the US or global stock markets you

16:11

know maybe it would have been great for

16:12

the world in America who knows but it

16:15

would not have been good for markets

16:16

particularly at the beginning so I was

16:19

very worried about the interaction of

16:20

the virus the economy and presidential

16:22

politics and I thought there was a

16:25

scenario where Sanders could easily be

16:27

the nominee and then we had Super

16:31

Tuesday and that kind of eliminated the

16:33

political risk and so now we have a

16:36

two-body problem and I think at one

16:39

level in some ways maybe the most

16:41

important thing we need to have happen

16:43

in the near term is new cases of the

16:46

virus to durably peak we've had an

16:48

enormous rally in the market over the

16:50

last week and that's basically the fact

16:53

that it looks like cases in the

16:56

northeast of the United States and the

16:59

west coast of the United States have

17:00

peaked you know I'm sure everybody's

17:03

seen the charts on hospitalizations and

17:05

ICU

17:05

utilization just collapsing in new york

17:07

city new cases rolling over i mean the

17:10

stock market is it sounds very strange

17:12

but the stock market is always unusually

17:16

sensitive to of its in new york city

17:18

because so many people who set prices

17:20

live there on the other hand new cases

17:25

in kind of the interior and south of the

17:29

united states are still accelerating

17:32

and i would say one thing that is a

17:34

little concerning is the degree to which

17:36

new cases come back in singapore once

17:39

you relax social distancing and a region

17:41

of china is already in its second

17:44

lockdown but i think we do need new

17:48

cases to peak or much better treatment

17:52

right

17:52

and it is a lot of clinical trials are

17:54

going to read out over the next kind of

17:58

4-6 weeks and if those treatment

18:01

regimens really impact the mortality

18:04

rate of the virus then new cases matter

18:06

less but we do need to go from you know

18:09

a two-body problem now the virus down to

18:12

a one body problem which is just the

18:14

market in the economy in there everybody

18:19

is different checklists kind of I have

18:21

kind of a different check you know I

18:22

have my own checklist for a bear market

18:24

having lived through six of them you

18:26

know you want a valuation to compress

18:27

we've certainly seen that you need a lot

18:30

of stimulus we've seen massive stimulus

18:33

the VIX needs to go down volatility has

18:36

to abate markets just cannot bottom with

18:39

you know the VIX at historically high

18:41

levels you need positioning to be

18:43

cleaned up

18:44

whether it's gross leverage net whether

18:46

it's cash pile call ratios and

18:49

positioning a sentiment needs to improve

18:51

market internals always consistently

18:53

approve you know this is just cyclical

18:56

first defensives value versus growth

19:00

small versus large caps and we've we

19:04

have certainly seen that in the last

19:06

week you know every anything you could

19:11

have met you know we've had historical

19:13

historic levels of performance for three

19:15

to four days for you know kind of a

19:17

variety of factors but we do the big

19:23

missing factor is realistic numbers from

19:25

companies I think in a world where so

19:28

much investing and trading is done

19:32

quantitatively it is hard to get a true

19:38

market price until companies give

19:40

guidance because the algorithms do

19:42

heavily depend on forward-looking

19:44

numbers I thought it was very

19:45

interesting rich Bernstein was

19:47

interviewed in Barron's I believe last

19:50

Saturday rich Bernstein what wrote one

19:52

of the all-time a great book about

19:55

investing called style investing which

19:56

left a lasting impression on me

19:59

but he basically said I run money

20:01

quantitatively and we're on the

20:03

sidelines until kid companies give

20:04

guidance because our models won't know

20:07

what to do until we have accurate

20:09

forward numbers so I think we will get a

20:12

true market price when companies begin

20:15

reporting and guiding and so far all

20:18

they've been doing is saying hey here's

20:20

what happened in the last two weeks of

20:21

March they haven't actually given

20:23

guidance and the sell side has not

20:25

probably taken you know some people on

20:28

the sell side have you'll come out with

20:30

very brave forecasts that are you know

20:33

highly likely some of those will be

20:34

right but I think by and large the sell

20:37

side is waiting for companies to give

20:39

guidance just because you don't want to

20:42

take a really strong stance and be

20:45

horribly wrong if you're an equity

20:50

research if you're in sell side equity

20:52

research that's not to say they're

20:53

they're people who have done great work

20:55

and have you'll come out with really not

20:57

consensus views but you know do you

21:01

really want to be the person to you know

21:03

make a call on the virus and when the

21:06

shutdown's gonna be in in because that's

21:08

actually what's gonna drive the second

21:09

quarter whether it's down ninety seventy

21:12

sixty or thirty do you really you know

21:15

if so I don't think the market has

21:18

accurate numbers yet so that's that's

21:20

the last thing the market needs and then

21:24

I've been thinking a lot about how

21:25

markets bottom and just kind of

21:27

experiencing it in real time real time

21:29

and at some level markets bottoming is

21:31

just a process of rebuilding loss

21:34

aversion you know it goes back to

21:35

prospect theory and regret minimization

21:38

and you know now there's all these

21:40

stocks that are up a hundred to two

21:41

hundred percent off the lows everybody

21:44

all professional investors they feel

21:46

intense regret that they didn't pull the

21:48

trigger at the loan and so that is how

21:51

markets bottom because you know it's

21:53

generally a process and you do you know

21:55

you generally have kind of bare market

21:56

rallies and then you have retests and

21:58

it's a process that's how markets bottom

22:01

it gets back there and you're like wow

22:02

I'm so regretful that I didn't buy it

22:06

and I'm already beginning to feel maybe

22:11

at some level of my own

22:12

internal loss aversion shift from gosh

22:16

I'm really upset I didn't sell that at

22:19

this price - wow I'm really upset I

22:21

didn't buy this at that price but it is

22:26

that's those are kind of some of the

22:28

things I'm looking for David oh it's

22:30

great and we'll get to sort of your the

22:33

the decision-making things later but you

22:36

know maybe sort of switching gears a bit

22:38

to the other side of this so we clearly

22:42

have some industries that are highly

22:44

highly impacted but maybe focusing on

22:47

technology you know we all saw the

22:50

Airbnb release of the paper they raised

22:53

so how does the technology industry look

22:57

like on the other end how does this

22:59

shakeout sort of reset the playing field

23:01

when is it beneficial to incumbent or is

23:04

it actually beneficial to startups I

23:09

think it is most beneficial to companies

23:12

that have decisive CEOs and I talked

23:15

about this on Patrick's podcast but you

23:18

know about I love all things fantasy in

23:20

science fiction I read Game of Thrones I

23:24

believe for the first time more than 20

23:27

years ago it was when I was in college

23:28

and I would reread the entire series

23:30

every time a new book came out but I did

23:35

talk about this summer vers winter

23:37

analogy and you know Game of Thrones the

23:39

you know the you know the nights of

23:42

summer are very different from the

23:43

nights of winter you know the kings of

23:45

summer are very different from the kings

23:47

of winter the queen of some are very

23:49

different from the queens of winter and

23:51

I think we're gonna see who is a summer

23:54

CEO and who is a winter CEO the last 10

23:58

years have been very unusual because

24:02

it's some way almost everything

24:04

everything that happened in technology

24:07

over the last 10 years as a result of to

24:10

really kind of foundational innovations

24:13

one is the iPhone which was launched two

24:15

no.9 and that was a location aware of

24:17

presence where I did to be aware

24:19

supercomputer that was in everyone's

24:21

pocket all the time gathering all sorts

24:23

of data about the world but visual

24:25

and connected to cloud computing because

24:33

cloud computing was also really kind of

24:35

invented around the same time used to be

24:37

called utility computing you know I

24:41

think the first we have some people out

24:43

here you're gonna go work at Google but

24:45

I believe it's hers

24:46

host lay who kind of ran infrastructure

24:49

at Google and the first YouTube videos

24:52

of him talking about utility computing

24:54

income and cloud computing her from Oh

24:56

nine and 2010 and that's where Google

24:59

who really at some level even probably

25:02

more so than Amazon invented cloud

25:03

computing started to talk about

25:05

planetary scale computing and then you

25:09

could put all the data from these smart

25:14

phones process it in the cloud and that

25:17

revitalized artificial intelligence

25:19

because all AI was missing you know all

25:21

of AI is been driven by very old

25:23

algorithms maybe there's been a little

25:26

bit about rhythmic innovation over the

25:27

last five years but basically all the

25:30

old algorithms worked they just needed

25:32

way more data than anyone realized and

25:34

way more computing power than anyone

25:35

realized but so you have those three

25:39

kind of connected biological revolutions

25:41

with the cloud and the iPhone really

25:46

kicking things off in kind of 2009 that

25:49

almost exactly coincided with kind of

25:52

the bottom in the market and the bottom

25:54

of an economic cycle so you know there's

25:57

all these apps that were built off the

25:59

iPhone uber Airbnb door - huge numbers

26:03

of apps and come great companies that

26:05

were built off the iPhone yeah this huge

26:07

the all of SAS was basically the second

26:12

and third generation SAS companies were

26:14

built you know on top of AWS or TCP and

26:20

so you have these CEOs who in some cases

26:24

now are running 30 50 60 billion dollar

26:27

kind of market cap companies actually

26:30

never gone through a recession we've

26:34

never gone through a hard time you can

26:37

so nothing like this has ever happened

26:39

before you know generally you know you

26:41

have a recession I don't know every five

26:43

to ten years and it's you know it's it's

26:46

not that it's not that often that they

26:50

line up perfectly was such a huge

26:52

technological discontinuity has the

26:54

iPhone yep

26:55

you always read oh wow you know great

26:58

companies are kind of you know born in

27:01

darkness and during difficult times but

27:03

more you know more companies than ever

27:05

were born in Oh eight oh nine and that's

27:07

just because that are oh nine in two

27:09

thousand it's just because that's what

27:10

the iPhone happened to be invented

27:11

generally the reason great companies are

27:14

kind of born in dark economic times is

27:16

because that works to the favor of the

27:19

best ideas and the best entrepreneurs

27:21

only the best could get funding in OH -

27:25

oh three oh four you know who is able to

27:28

go public in oh three oh four three

27:30

little tech companies called Google

27:31

Netflix and Salesforce so only the best

27:34

of the best can get funded in a tough

27:37

environment but that was really

27:39

amplified in oh nine to ten because you

27:41

had this huge discontinuity during a

27:44

dark economic time and now we've had an

27:45

unusually long expansion in ten years so

27:48

I think it may be that a lot of these

27:52

technology companies that are 10 or 11

27:55

years old are run by summer CEOs who

27:59

can't make tough decisions and so I

28:02

would say the companies that are gonna

28:03

be most advantaged are the companies

28:06

that are decisive and early so that

28:10

would be kind of my first order answer

28:12

your question David and happy to talk

28:15

through different industries and you

28:18

know would love to sort of hear your

28:20

thoughts in the video gaming industry

28:21

because I know that's something you

28:23

spend a bit of time on yeah sorry I I

28:27

play games the way a lot of my peers

28:30

play golf I'm not super into sports but

28:33

I do love playing video games you know

28:39

and they've been very real for me and

28:40

they particularly kind of probably more

28:42

gotten really back into them I always

28:44

had a so long ago in the year 2000 I was

28:49

the essentially a very funny

28:50

story in the year 2000 I was the Nvidia

28:59

analyst at fidelity and the what Nvidia

29:03

really had going for it in in 2000 and

29:05

stock went up 200% to the Nasdaq one

29:07

time 80% but their chip had been

29:09

designed into the Xbox the first Xbox it

29:12

all said powered by Nvidia on the

29:14

outside of it and that was a huge really

29:17

important to kind of you know Nvidia

29:18

becoming the company they are today

29:20

although there are lots of things there

29:22

Jennsen the scene you know there's

29:23

absolutely top 5 technology CEO of all

29:26

time

29:28

another little aside is most

29:31

semiconductor CEOs CFOs and CEOs have

29:34

owned stock and gotten hugely wealthy in

29:37

by owning stock in Nvidia for the last

29:40

20 years because they've always been

29:42

like hey I I just want to bet on Jensen

29:45

he is exceptional so anyways I don't

29:46

mean to say his video is all about the

29:48

Xbox but um I had not played video games

29:54

until then and I was like hey I need to

29:56

actually understand if the Xbox a the

29:59

PlayStation is is a better platform so I

30:04

set them up and they set them up in a

30:07

conference room at fidelity and I'm sure

30:11

well I will I have thought better of

30:15

telling the story but let's just say

30:16

that a very senior executive walked by

30:19

late at night at 9:00 p.m. in US and I

30:22

was playing video games and she's like

30:25

wow what are you doing over here playing

30:27

video games at this you know kind of

30:29

open conference room and I was like I

30:31

see it if the Xbox to the PlayStation is

30:32

better like hey would you come in and

30:34

tell me which one you think the graphics

30:36

are better on anyways that she came in

30:38

and then we played video games for for a

30:40

while together but so that got me back

30:44

into video games and that I covered a

30:46

bunch of different industries that kind

30:48

of always touched on video games in one

30:50

shape or another so would always go to

30:52

e3 and always felt like it was a big

30:53

advantage investing lies to actually

30:55

play the games I sometimes say that um

30:59

imagine a world in which you know

31:01

there's a bunch of retail investors

31:03

and most of them have never been to a

31:06

store they've actually never been to

31:09

amazon.com all they will do is sometimes

31:11

they'll watch videos of other people

31:14

walking through stores and shopping on

31:16

Amazon that is what video investigate

31:19

video games is like the vast majority of

31:21

professional investors because in some

31:23

ways I think one of the biggest class

31:24

divides in America today is high income

31:27

people by and large don't play video

31:29

game video games and investors are by

31:32

and large high income people so very few

31:35

people who invest in games actually play

31:37

them so I gets a big advantage I would

31:40

say beginning something that really

31:43

changed the way I thought about video

31:46

games but it been an idea for a long

31:50

time but there we're gonna have a better

31:53

versus isn't snow crash it's in ready

31:55

player one you know it's called the

31:58

Oasis and ready player one if you've

31:59

read the book or you've seen the movie

32:01

but just that a lot of people were going

32:03

to spend a majority of their time in

32:05

virtual worlds which kind of from a

32:08

first principles perspective makes a lot

32:09

of sense if you just think about Moore's

32:11

Law on the radar which you know kind of

32:13

graphics power is compounding at some

32:17

point we're going to get to a point

32:18

where virtual worlds are

32:19

indistinguishable from the real world

32:21

and then eventually you're gonna have

32:23

brain computer interface interfaces and

32:26

you know even from smell and touch

32:28

everything is going to be

32:30

indistinguishable from the real world so

32:32

this has kind of been a big idea in

32:33

science fiction for a long time one that

32:35

I thought was very logical from a first

32:36

principles perspective and so kind of

32:40

what's always fascinated fascinated by

32:43

this idea and by the way that same

32:44

principle is why so many people with

32:47

technology and physics believe in

32:48

simulation theory but we won't we won't

32:50

go down that rabbit hole simulation

32:53

Theory meeting just we're living in a

32:55

simulation rather than a real world

32:56

which is actually shockingly difficult

32:59

to disprove but so I had always been

33:02

kind of fascinated with this idea the

33:04

Metaverse in the Oasis and then you know

33:07

and this is I think very consensus

33:09

thinking in Silicon Valley when you hear

33:11

Mark Zuckerberg say he wants to own the

33:13

next platform this is what he is talking

33:14

about

33:16

the Metaverse the Oasis you know

33:19

whatever you're going to call it and you

33:24

know this is why they bought oculus this

33:25

is why they bought the BCI company you

33:29

this is why Google and everyone is so

33:31

focused like Microsoft bought minecraft

33:34

so I all the big platform players are so

33:37

focused on our materiality virtual

33:39

reality you know there's a thought that

33:42

you know the if you can own the identity

33:44

in the payments layer you can owe the

33:46

avatar store but then something happened

33:49

watching and I'm embarrassed that like I

33:52

didn't think of this first because

33:54

playing video games I can tell you they

33:56

are social networks the other not hit

33:58

driven businesses you know you play

34:01

games with your friends and it's really

34:03

hard to get all your friends to play a

34:04

new game and you know some of some of

34:07

the most some of my best friends are

34:10

people I only know them has you know by

34:12

their gamertag and maybe I know that you

34:14

know they live in England and they work

34:17

the night shift at you know at a

34:19

warehouse but that's all I that's all I

34:22

know about them in terms of kind of a

34:26

real world identity perspective but um

34:29

so I was I always thought games were

34:31

social networks but then when

34:34

marshmallow had that concert in

34:36

fortnight kind of everything really

34:39

clicked for me

34:40

and it was just wow video games are

34:44

going to be the platform for the

34:48

personal Metaverse yeah the personal

34:50

metaphors like you know forget about the

34:51

professional members but the personal

34:53

Metaverse you know I think in 20 to 30

34:57

years at the end of this I will be able

34:59

to close my eyes and pilot a starship

35:03

through a nebula or close my eyes and

35:06

walk the streets of ancient Rome close

35:08

my eyes have a you know climbed at the

35:10

top of Mount Everest you know and then

35:14

our the argument in reality part of the

35:16

Metaverse nobody's gonna be able to lie

35:17

like we're all gonna have this is going

35:20

to become you know kind of edge server

35:23

powering personal AI and ambient

35:26

computing and you're not going to be

35:27

able to lie because

35:29

if you're I'm talking to someone my

35:32

onboard AI will in real time be

35:34

realizing you know analyzing their skin

35:37

temperature their perspiration their

35:39

micro-expressions

35:41

their pulse and it will become impolite

35:45

you won't be able to have a real

35:46

conversation with someone while you're

35:48

wearing your AR glasses

35:49

anyways it just became really obvious to

35:52

me as soon as I saw that marshmallow

35:53

concert and fortnight that Wow

35:55

video games are social networks they are

35:58

going to be the platforms for the

36:01

personal Metaverse you know the

36:04

Assassin's Creed franchise it is going

36:06

to dominate the historic Metaverse and

36:08

you're already seeing this at the

36:10

request of educators they made what they

36:14

called an explorer move Explorer mode

36:16

first asset screen origins and

36:20

Assassin's Creed Odyssey so because it's

36:23

a great way for kids to learn about

36:24

ancient Greece and ancient Egypt you

36:27

know we can speculate who's going to

36:29

dominate kind of the military Metaverse

36:35

Bobby Connick the CEO of Activision

36:37

another truly great executive once told

36:39

me that video games just fulfilled

36:41

universal fantasies soldier fantasies

36:44

rockstar fantasies athlete fantasies

36:46

living in a different time fantasy

36:48

living in a different world fantasy

36:50

living in the future fantasy living in

36:51

the past fantasy

36:54

so these videogames that already exist

36:56

today with all the players built in the

36:58

social networks built in they are going

37:02

to be kind of the foundational platform

37:04

layer for the personal Metaverse and I

37:06

think one of the most ironic things is

37:08

you know Zuckerberg has been all over

37:10

this for a long time in second Bertie's

37:11

another truly great CEO but you know if

37:16

you read the memo that leaked in

37:19

2015-2016 advocating for why you know

37:22

the pros and cons of buying unity it was

37:25

fascinating you know he was so focused

37:26

on the infrastructure layer the tooling

37:29

because what becomes a platform is

37:32

something that becomes an abstraction

37:34

layer and other apps are written to it

37:36

and I just think because he clearly did

37:39

not personally play video games it's

37:41

almost like marks are

37:42

Burt was not nerdy enough to appreciate

37:45

this and in some ways you know epic with

37:48

fortnight is one of the more strategic

37:49

assets and all of video gaming and all

37:53

of technology that was before house

37:55

party blew up but I think it's endlessly

37:57

ironic you know Zuckerberg he bought

37:59

oculus which I don't think it's gonna

38:00

end up being that important as a

38:02

platform for the personal Metaverse but

38:06

it's just endlessly ironic to me that

38:08

Mark Zuckerberg who you know often gets

38:10

caricatured is being a nerdy guy he's

38:12

actually extremely engaging in person

38:14

was not nerdy enough to understand video

38:18

games would be the platform for the

38:20

personal Metaverse so on that sort of

38:23

Metaverse construct video games who are

38:27

gonna be in your mind the winners here

38:30

are they gonna be the existing

38:31

developers like Activision or they are

38:34

you know the distributors who are you

38:37

know in that current landscape I think

38:41

both I think that the so a couple of

38:47

things I think for sure the developer is

38:49

the people who own the IP will be

38:52

winners you know I think the platform's

39:00

you know Xbox Sony steam now the epic

39:04

store are likely to be winners but I

39:06

think it's I have less confidence about

39:10

that that I do about the underlying

39:11

content owners and the reason is a lot

39:14

has been written about what the rise of

39:16

cloud gaming where you can stream a game

39:18

the way you can stream a movie is going

39:20

to do to the industry and a lot of

39:25

people have conflated a technological

39:27

delivery mechanism streaming with a

39:29

business model and that's just because

39:31

of Spotify in Netflix content is always

39:35

king the reason content wasn't King to

39:39

begin with with music and movies and TV

39:42

is there such a long tail the you know

39:46

there's you know there's billions of

39:48

songs billions of movie and TV episodes

39:50

there's such a long tail and you could

39:53

combine that long tail of cotton

39:55

wasn't it all valuable before Netflix

39:59

Spotify streaming with really

40:02

sophisticated algorithms to figure out

40:04

that oh you know if you like Madonna

40:05

Madonna which is head content here's

40:07

seven other artists that you've never

40:09

heard of that you're probably gonna like

40:10

and really increase the value of that

40:13

long tail deliver it in a subscription

40:16

and that created a midst value for

40:19

Spotify and Netflix but it does not

40:23

necessarily follow that streaming and

40:25

subscriptions you know go together like

40:28

peanut butter and jelly and with video

40:30

games you know a lot of people looked at

40:31

cloud gave me and Google Stadium I

40:33

thought oh wow this is gonna be just

40:35

like Netflix not at all because there is

40:38

not the same long tail of content in

40:41

video games the degree to which the top

40:44

ten video games utterly dominated

40:46

engagement day in and day out is nothing

40:49

like music or movies so the underlying

40:52

content owners the owner of you know the

40:55

historic Metaverse the soldier Metaverse

40:57

the science-fiction Metaverse the

40:58

fantasy Metaverse the action-adventure

41:00

Metaverse they have way more leverage

41:04

and all of these new distribution

41:07

options are only increasing their

41:09

leverage now it is you know I think it

41:14

was interesting the degree to which

41:15

Google stadia scared Sony and to a

41:19

lesser degree Microsoft that they

41:21

basically said hey we're going to share

41:22

infrastructure but I think the fact that

41:25

did the Sony cloud streaming service in

41:30

Microsoft both are both gonna run and

41:33

Azure means that pry technically they

41:34

will be at parity with with Google and

41:40

then the fact that they have all the

41:42

existing relationships they already have

41:43

all the content if you're gamer you can

41:45

just port your library they're your

41:47

friends list is there so I am reasonably

41:52

optimistic on the existing gaming

41:54

platforms in addition to the publishers

41:57

but I think the publishers are kind of

41:59

to me the simplest first-order winner in

42:05

this meta first thesis right and before

42:08

we open out of the queue

42:09

just one last question for me it is

42:11

you've mentioned sort of you want to be

42:13

at the top 1% of knowledge in a

42:16

particular industry so fast four or five

42:19

to ten years how do we know or how do we

42:21

assess ourselves in that landscape and

42:24

you know regardless of its investing

42:26

technology whatever we do how do we sort

42:29

of get to that or how do we know we got

42:32

there I would I would put someone on

42:37

Twitter this was this is pretty

42:38

controversial kind of what I when I said

42:40

it on Patrick's first podcast but

42:44

somebody on Twitter of journalists for

42:46

Bloomberg now take him actually just

42:47

said when you know you know and I would

42:51

say it takes a long time you know we've

42:53

all you know the 10,000 hours rule it

42:58

takes a long time to achieve kind of

43:01

true mastery in top 1% and it's a very

43:04

competitive world so I would never be

43:06

able to look at a stock or an industry

43:08

for you know three years or five years

43:11

and think wow I'm in the top 1% it

43:13

really takes a long time I wrote an

43:16

article on medium talking about the

43:20

investing in the name of the rose which

43:22

is a great book some level that's about

43:26

the search for truth which I think

43:27

investing is all about is ultimately the

43:30

search for truth and having finding a

43:35

finding an investment style or

43:38

philosophy that meshes with your

43:40

emotional makeups such that you can kind

43:42

of find two truths and seek it but I

43:47

wrote a lot more than that if anybody

43:49

wants to read it but you know after 1012

43:54

years you do just start to know and that

43:56

it is a little bit you know what I

43:58

probably should have said on the

43:59

Patrick's first podcast so I didn't come

44:01

across as arrogant is like I have been

44:06

doing this at 20 years for longer than

44:09

almost all other public equity investors

44:12

in tech you know so many people walked

44:14

away or washed out with the bubble so

44:16

many people walked away or washed out

44:19

nine more people who've been doing tech

44:21

for ten years than any other sector but

44:23

far fewer who've been doing it for 20

44:25

years

44:27

Tech is you know probably second in

44:30

complexity only to healthcare

44:34

specifically therapeutics and biotech

44:36

where cumulative knowledge accumulating

44:39

advantage like just the the years and

44:42

the miles they really matter and there's

44:44

no substitute for them but I wish it

44:49

were I wish I could give you a metric

44:51

but um I think kind of you know you know

44:55

but it's also really important to not

44:58

think you're in the top 1% when you are

45:00

not so you always have to stay humble

45:03

and kind of pressure test because the

45:06

most dangerous situation of all is you

45:09

thinking that you're in the top 1% and

45:12

you're actually not at the top 50%

45:14

that's how you lose vast amounts of

45:16

money and that goes to the importance of

45:19

you know this is also kind of a lot of

45:24

it is kind of woven through the the book

45:26

the name Rose which is by Umberto Eco

45:28

one of my favorite favorite authors but

45:31

just you always have to vow balance

45:33

conviction and flexibility when you were

45:35

searching for truth he is kind of

45:39

searching for truth I think in a

45:40

religious and philosophical way the hero

45:42

of that Lima Baskerville and then he's

45:44

searching for truth in being a detective

45:47

and trying to unravel kind of a murder

45:49

mystery in another but in both of those

45:51

you have to balance conviction and

45:54

flexibility and investing is the same

45:56

way and you always have to even its

45:58

sectors even in an area where you're in

46:01

the top 1% of the top ten basis points

46:02

of knowledge you have to always be

46:04

balancing conviction and flexibility has

46:08

you kind of search for truth right and

46:10

I'm not dunning-kruger in fact no I'll

46:16

pass it over to Danielle to moderate the

46:17

Q&A

46:18

thank you again Gavin and we look

46:20

forward to everybody's questions again

46:21

thanks David

46:23

great job thank you thank you please the

46:25

first time doing this please send your

46:28

questions to Danielle and she will

46:29

moderate the Q&A segment great thank you

46:33

so given social distancing we have quite

46:36

a few questions on tick-tock too

46:38

particularly from Ronald and John so

46:41

Gavin how do you see tick-tock growing

46:43

bigger in coming years and how do you

46:46

think they can change the landscape of

46:48

the tech world I think it might be one

46:50

of the most important things happening

46:52

in the world of technology today I had

46:57

you know I've invested in large internet

46:59

companies for many years so really

47:01

thought had been probably tick-tock for

47:02

a long time and you know there's

47:06

obviously a thesis that it was you know

47:09

it might be disruptive to current social

47:11

networks you know there's another thesis

47:12

that every generation is gonna have its

47:14

own social network because nobody wants

47:16

to be on the same social network as

47:18

their parents you know snapchat the fact

47:20

that it's hard to use for a lot of

47:22

people you know as a feature not a bug

47:23

you know and so maybe it's kind of like

47:25

snapchat was kind of the social network

47:27

for Millennials maybe tick tock will be

47:29

the social network for you know kind of

47:35

teenagers today and there's a lot of

47:38

kind of first principles differences

47:39

between to talk and other social

47:41

networks

47:41

well it's purely algorithmic it's

47:43

totally meritocratic in the window other

47:45

social network is it's not based on

47:47

popularity

47:48

you know just if if I mean looking at

47:51

kim kardashian post something on

47:53

tick-tock it's highly likely to go viral

47:54

but if another celebrity posts something

47:57

that does it go viral you know it's

48:00

somebody who's totally unknown post

48:01

something that begins to go viral the

48:03

algorithms will catch it so it's a

48:05

meritocratic algorithmic social network

48:08

in a very new way new way it also hides

48:13

likes because it's not on it not hides

48:16

likes likes are not important you know

48:19

because it is algorithmic you know you

48:21

don't have this phenomenon of you know

48:23

taking down an Instagram post if it's

48:26

not at 75 likes in 15 minutes or

48:28

whatever you know everybody's filter is

48:31

mine as I take down a post if I'm not at

48:33

3 likes after you know a year I've

48:37

actually never taken down a post but

48:38

obviously a lot of people you know are

48:40

very sensitive to likes so it it's like

48:44

snapchat in that way a little bit

48:46

you don't have to create a you I think

48:50

in some ways one of the most innovative

48:52

things they did from a business model

48:54

perspective was you don't have to sign

48:56

on you don't have to be a registered

48:58

user to consume all the content which

49:01

just took out so much friction and it's

49:03

something that I think some of the big

49:05

American internet companies they Twitter

49:07

closely watching but their sue was

49:12

always watching it but ultimately you

49:13

have to be guided by the data you know

49:16

it's open to the possibility but you did

49:21

sorry you did begin to see Instagram

49:27

slow down in a very significant way in

49:30

February now everything in coronavirus

49:33

was having with coronavirus and working

49:35

from home I think makes the March data a

49:37

little bit noisy but you know it's kind

49:39

of like tick tock to me was a big threat

49:41

everybody's worried about it and then

49:44

often often in uh in markets you know

49:51

people it's like everybody knows there's

49:52

a wolf outside and gets so worried about

49:55

it and writes about it and thinks about

49:57

it and then kind of forgets about it and

49:59

then the wolf come in you know actually

50:01

does finally come inside the door like

50:02

the risk finally materializes so all

50:05

this work had been done on tick tock and

50:06

its potential impact you kept looking at

50:09

the data and no impact no impact no

50:11

impact to them so big impact in February

50:14

and a lot of measurable ways on

50:17

Instagram and I think that's probably

50:19

been lost a little bit in coronavirus

50:22

but yeah

50:23

tick tock has a tech investor it's

50:26

really important to stay young to stay

50:29

open-minded be open to new ideas IPOs

50:31

and a lot of times things that seem you

50:36

know kind of like silly little toys end

50:38

up changing the world you know Facebook

50:39

started out as a you know a site for

50:42

college students to rate each other's

50:44

attractiveness Netflix you know started

50:47

out as a way to avoid DVD rental fees so

50:51

you kind of have to be very open-minded

50:54

and really be open to things like

50:59

tick-tock which you know when it first

51:01

started maybe seemed a little silly

51:03

seemed a little bit like a toy that some

51:06

of these things end up really changing

51:07

the world and it's one reason yeah so

51:12

I've tried to be very open to talk even

51:14

though personally it doesn't appeal to

51:16

me but you know I try to be I try to be

51:20

open-minded we joke at the off so some

51:22

of the people the office shook we're

51:24

gonna make it tick tock we'll see that's

51:27

part of this but yeah

51:29

tick tock I think is one of the most

51:30

fascinating things happening in

51:31

technology right now I think moving from

51:35

I guess one of our newer companies

51:36

tik-tok to thinking about role wants us

51:40

think about our non stay-at-home tech

51:41

company CEOs such as Expedia uber Airbnb

51:45

and what steps in your opinion can the

51:48

CEOs take to boost their cast positions

51:51

cash positions in light of the demand

51:53

decline and you know expectations of

51:56

limited spending by users in the near

51:57

future

51:59

yeah a huge the earlier you've cut

52:04

expenses the less expenses you have to

52:07

cut because this is an area under the

52:11

curve problem so if you cut early you

52:15

you know you have a shallower curve and

52:17

you preserve more cash

52:19

if you cut late you end up having to cut

52:22

a lot deeper because you have to get to

52:24

the same area under the curve and what

52:28

they I just like to pause on you guys

52:29

are all gonna be investors I think it's

52:31

really important to acknowledge when you

52:33

say cut expenses you're actually talking

52:35

about firing people and you're talking

52:37

about firing people who are real people

52:39

they have real hopes and dreams they

52:41

have real families you know they have

52:44

real financial obligations so just I

52:48

hear a lot of you know investors bandy

52:52

around Oh cut expenses and like it's

52:56

kind of some you know like you're just

52:58

closing an office or you're cutting

53:01

travel the end of the day people are the

53:03

biggest expense for almost every

53:05

business so when you say

53:06

companies need to cut expenses you're

53:08

about firing people and that is a really

53:10

hard thing to do and just I would just

53:12

encourage everybody for your for your

53:15

careers to always keep that in mind

53:19

because you will be talking to CEOs and

53:21

CFOs and I promise you if you are not a

53:26

jiton and being a good human being

53:29

recognized what cutting expenses is and

53:32

never say lightly or casually but be

53:34

understand that you're not gonna have to

53:36

do that and when you're telling a CEO or

53:38

CFO to do that you're telling them to

53:41

fire people people that he knows people

53:43

that he likes people that she likes and

53:47

that's a really hard thing to do so just

53:49

be sensitive about it but yeah you know

53:53

sorry for sorry for saying that it's

53:55

just always really frost me when you

53:57

know I see you know some investor you

54:01

know beating a CEO up for not cutting

54:03

expenses more acting like it's easy it's

54:05

a really hard thing to do

54:07

but it is something that has to be done

54:10

you know and you know the good of the

54:12

many outweighs that could have could

54:14

have the one I always think about that

54:15

awesome scene at the end of Star Trek

54:19

the Wrath of Khan between Kirk and Spock

54:23

um I won't go into it but basically Spa

54:27

sacrifices himself to save the

54:29

enterprise and if you don't cut expenses

54:35

the company may go to zero and you're

54:37

gonna fire everyone so you have to do it

54:39

and good CEOs winter CEOs cut early

54:43

where's the bad CEOs cut late and then

54:47

not only do you have to fire more people

54:49

but you are firing those people into the

54:51

depths of the recession you know if your

54:54

company cuts expenses early your odds of

54:58

getting a job are so much higher than if

55:00

your company cuts expenses later so in

55:02

addition to you owing it has a CEO to

55:07

make hard decisions because at the end

55:09

of the day you have to think about all

55:11

the employees not just the people who

55:13

are losing their jobs

55:16

it is a compassionate thing to do

55:19

because it is going to happen

55:21

at one point or another it will happen

55:25

and it's just much more compassionate to

55:28

do it earlier and it is the right thing

55:30

for the business so those are all the

55:32

reasons you know it's the right thing

55:33

morally you have to cut fewer expenses

55:35

which means you're firing less people

55:37

you're letting them go into a stronger

55:40

economy where they have better odds of

55:42

finding a job but because you cut less

55:48

because you cut early you don't have to

55:50

cut muscle so then you come out of the

55:55

recession in a stronger position so I

56:01

think those companies you know they're

56:03

they are all going through you know

56:08

they're going through winter like a

56:11

severe winter and because nobody knows

56:14

exactly what's gonna happen with the

56:15

virus they don't know how long it's

56:17

going to last booking just said

56:19

yesterday that their revenue is down 85

56:22

percent they might run out of cash in

56:23

2020 one of the stock went up I should

56:26

not build Gurley had a great tweet about

56:28

it you know for anyone who thinks the

56:29

stock market is really short-term focus

56:32

like here's an object lesson it's

56:33

actually very long-term focused but yeah

56:37

you those companies and those CEOs are

56:39

gonna have to do hard things you know

56:42

there's a lot of there are a lot of

56:47

decisions that a lot of companies need

56:49

to make and we're gonna see who is the

56:51

summer CEO and who's a winter CEO I'm

56:55

just sorry to jump in real quick here

56:57

but do you feel that's widely

56:58

appreciated by CEOs you know well if

57:02

you've been through a recession it is

57:03

but that's why we're living through such

57:05

a unique time where you have so many

57:07

CEOs of so many big companies who've

57:10

never you know in some cases they

57:13

weren't even an adult during the last

57:15

recession are they or in you know

57:17

college are they're in grad school so

57:23

it's a very unique time that I think we

57:26

are going to really sort the winners

57:28

from the losers and it is who is

57:30

decisive who is a winter CEO who can do

57:34

hard things you know a mentor of mine

57:42

who is whose mentor and really good

57:46

friend of mine this is his first name

57:49

starts with an A but he is a very

57:51

private person he likes to say hard

57:56

people build great companies Steve Jobs

58:00

Jeff Bezos the Bill Gates they were all

58:04

really hard it made a lot of hard

58:07

decisions in their own ways they were

58:10

all ruthless so we're gonna see who's a

58:15

summer CEO who's a winter CEO and

58:19

gingely enough you would much rather be

58:22

at a company run by a winter CEO because

58:26

if you're an employee at a company run

58:28

by a summer CEO a company might not

58:31

survive be chances are you are going to

58:35

get fired along with a lot more people

58:37

at the worst possible time because your

58:40

CEO is a summer CEO and can't make

58:42

difficult decisions but it's

58:46

particularly dangerous is the last thing

58:47

I'll say not only do you have a lot of

58:53

CEOs who have never been through a

58:56

recession and are running huge companies

58:59

so don't have the experience they need

59:02

but you have CEOs who are in that

59:04

position and are effectively post

59:06

economic because they've sold hundreds

59:09

of millions of dollars worth of

59:10

secondary so actually what they care

59:13

about now is their reputation and

59:15

getting lionized and articles on

59:18

TechCrunch in the New York Times and

59:21

they're not willing to make these tough

59:24

decisions because they don't care about

59:25

money they don't care about the value of

59:27

their company they do a little bit only

59:29

insofar as it impacts their reputation

59:31

but I think you put all that together

59:33

and it's a very dangerous kind of

59:36

triangle for some of these really big

59:39

unicorns run by post economic CEOs

59:45

definitely agreed

59:47

and given the last question about uber

59:50

indirectly we have a question from Ming

59:52

Ming about DC and private funding that

59:55

has kind of quickly come into the

59:57

industry in areas such as you know food

60:00

delivery and shared economy and you know

60:04

do you think that there's a sustainable

60:06

kind of an advantage in these tech

60:08

companies that have huge scale but they

60:11

operate in industries with really low

60:13

barriers to entry for sure so one of the

60:18

strange things about the Internet is

60:19

barriers to entry are too low or very

60:21

low but barriers to scale are really

60:23

high and because we're in such a bull

60:29

market for so long and marketplaces are

60:33

great businesses you know after search

60:38

they're probably the best businesses in

60:39

the world or you're just taking a cut of

60:42

transactions that happen on the

60:44

marketplace on the platform bill Gurley

60:47

wrote a great blog post about this

60:49

everybody if you were all interested in

60:51

technology venture investing anything

60:53

everybody should read every blog post

60:56

Booker Lee has ever written um I think

60:59

the two things that when we look back in

61:02

20 years will be kind of regarded the

61:04

same way that Warren Buffett's letters

61:05

to his shareholders the way they're

61:08

regarded today are Girly's blog posts

61:10

and Amazon's

61:12

shareholder letters which are the Amazon

61:16

shareholder letters I I reread them a

61:19

lot the same way I read Buffett in the

61:21

same way I reread bills blog posts but

61:26

um yeah so there

61:31

businesses and usually you know anybody

61:34

can start a marketplace I could start a

61:35

right here I could start a right healing

61:37

app I bet in less than ninety I bet it

61:40

would take me I don't know I was gonna

61:43

say ninety minutes it'll take me one day

61:45

to start a ride hailing app okay but

61:48

then getting supply-and-demand on that

61:50

app that's the hard thing that's

61:51

barriers to scale and what happened

61:55

because you know you have this huge

61:58

explosion in venture funding it's like

62:01

the Tier one entrepreneurs got funded by

62:05

the Tier one VCS to build marketplaces

62:08

you know this is uber this is whoever

62:10

else and then this is not to say that

62:14

somebody who's a number two is tier two

62:16

or those pcs or tier two is because some

62:18

of them are great but people like oh wow

62:20

let's go fund a marketplace there so

62:21

these marketplaces are actually kind of

62:23

natural monopolies but so many of them

62:26

because there was so much funding ended

62:28

up with a lot of competitors and because

62:30

it is a little bit of a winner-take-all

62:32

winner take most business you can

62:34

justify spending and losing almost

62:37

infinite amounts of money to get you

62:41

know kind of the the you know whatever

62:43

the brass ring the gold crown whatever

62:45

you know the gold medal at the end and

62:47

so that is distorted a lot of these

62:50

businesses you know imagine what a great

62:52

business uber would be if it did not

62:55

have lift and DD and all of these other

63:00

ride-sharing businesses to contend with

63:04

imagine how much better you know door -

63:09

or GrubHub would be if they didn't have

63:11

all these food delivery marketplaces to

63:14

contend with so I do think that once it

63:20

sorts itself out it settles either into

63:24

into a stable market structure and

63:28

there's all sorts of really cool work

63:31

and thinking you can do around what the

63:33

stable level of share is in different

63:35

markets then will be great businesses

63:37

they will I think be sustainable but

63:40

it's just because I mean we're talking

63:41

about businesses with incredibly high

63:45

terms of capital really high barriers to

63:46

scale for those high barriers to scale

63:49

end up being enduring competitive

63:51

advantages because at the end of the day

63:53

scale is the most durable competitive

63:55

advantage a book that's been very

63:57

formative to me was written by Bruce

64:00

Greenwald who's another Columbia

64:02

professor I always think is called

64:04

competition demystified but he goes

64:06

through and really statistically

64:09

accesses how durable different

64:12

competitive advantages are I think Mike

64:14

I think Mike Mohsen has done some work

64:16

on this to an ultimately scale is the

64:19

most durable competitive advantage

64:23

awesome thank you and we have quite a

64:27

few questions regarding a recurring

64:29

revenue based on you know your podcast

64:30

with Patrick and some of your tweets

64:32

about video games specifically in your

64:35

tweets you spoke about the transition

64:37

from free-to-play in to monetizing with

64:39

in-app purchases so you know how

64:42

recurring are these purchases and you

64:45

know what similarities and differences

64:46

compared to recurring revenues for SAS

64:48

companies are you seeing and it's lastly

64:52

sorry um what are the trends that you're

64:54

seeing in regards to in-app purchases

64:56

now sure so first they're not recurring

65:01

revenue because it's not gonna track so

65:03

I mean I think at the end of the day

65:04

either if we're gonna call something

65:07

recurring we should be precise and it is

65:09

a subscription so in in fact it in

65:13

theory they aren't recurring but in

65:15

practice they are all these video game

65:20

companies they you know they don't have

65:22

economists they have psychologists they

65:25

think about the in-game economy they can

65:28

kind of you know manipulate that and

65:31

game economy in different ways so I

65:34

think in practice they are really

65:37

recurring and I think the point I was

65:44

trying to make which clearly did not

65:45

come through well and on Twitter is

65:48

software had to transition they had to

65:51

get away from the drug of up front

65:54

license sales where you know you collect

65:57

$100 up front

65:58

and it's super high margin and instead

66:02

it's better to collect twenty dollars a

66:05

year for five years you know or whatever

66:08

twenty five dollars a year for five

66:09

years that's ultimately a more valuable

66:12

business and when you go through all the

66:14

ways that SAS is better than on-premise

66:16

you know you eliminate you know the end

66:17

of quarter

66:19

you know rush to discount it's more

66:21

predictable there's less piracy you know

66:28

a little bit Navy piracy might have been

66:29

in some ways the greatest SAS value out

66:32

of all you know look no further than

66:34

Adobe for the power of that but you know

66:39

so you had you know used to what

66:41

companies would do a SAS transition the

66:43

stocks would implode because their

66:44

revenues would go down eighty percent or

66:46

whatever it is because you're trading a

66:47

hundred dollars upfront for twenty

66:48

dollars a year one the video game

66:51

companies today that sells $60 games

66:56

that cost $60 to buy if they're all

66:58

gonna have to slowly move towards a free

67:00

to pick free-to-play model and the

67:02

reason is and that means that's risky

67:06

and maybe your revenue will go down

67:08

maybe it won't I think there's a way

67:10

they can manage the transition and I'll

67:12

speak to that but the reason is what

67:16

drives value in these virtual economies

67:19

is persistence and Eugene Way wrote a

67:25

great blog post about status as a

67:27

service and that's how all social

67:28

networks

67:30

we're ultimately driving value but the

67:32

reason you spend money on a dance or a

67:36

skin or a gun or an emoji in a game is

67:40

it some level for staffs you know we are

67:43

all Eugene ways what was we are all stop

67:46

seeking monkeys at one level or another

67:48

you know luxury goods everybody is

67:51

always trying to convey their identity

67:53

in some way you know even if you hate

67:55

luxury goods whatever you were wearing

67:57

it is a choice that in some ways confers

68:00

status upon you this is you know the

68:02

entire business of fashion and apparel

68:04

and it is difficult for virtual goods to

68:08

have value in a videogame when their

68:11

value get

68:12

destroyed every year so in a game where

68:15

it's on an every year release cycle you

68:18

are destroying the value of those

68:20

virtual goods annually so those virtual

68:22

goods don't have high value and this is

68:25

why all the world's biggest video games

68:27

are free to play because in a

68:29

free-to-play game where you don't have

68:30

to come out with a new game every year

68:33

you maintain the value of those Goods

68:36

for longer so people ascribe more value

68:38

to them so the revenues from all these

68:40

in-app purchases micro transactions

68:42

whatever we call them are significantly

68:44

higher I think there is a way that the

68:47

video game companies can have their cake

68:48

and eat it too

68:49

and that is kind of migrating you know a

68:52

game I play a lot destiny has gone to a

68:54

model where your status is never

68:58

destroyed you're gonna kind of get to

69:01

keep your emojis and emblems and guns

69:05

and achievements and swords or whatever

69:08

else matters to you dances all those

69:11

things matter a lot to me but every

69:14

three years you're gonna pay $40 for a

69:16

new version of the game that brings with

69:21

it new PvE that's player versus enemy

69:23

content and new pvp maps and new items

69:26

and I think that is probably a way that

69:28

they can have their cake and eat it too

69:30

and racially transition into this model

69:34

but it is important just you know

69:36

whatever you get worried about oh what's

69:38

gonna happen to that $60 per gamer of

69:41

revenue well all the world's biggest

69:43

games are free to play it's just a

69:45

inherently superior business model and

69:47

god forbid you can marry it with paying

69:51

forty to sixty dollars every two to

69:52

three years because then it's almost

69:54

like a something that marries the best

69:58

of free-to-play and a subscription game

70:01

like World of Warcraft but that's what I

70:05

was kind of trying to get at and

70:07

hopefully that is a clearer answer than

70:09

I was able to give on Twitter oh and

70:12

thank you for that clarification we have

70:15

a question from Manas about data

70:18

consumption so given the increase in

70:21

data consumption you know is this well

70:24

this is a watershed moment for

70:26

computing companies and content delivery

70:28

networks or do you think the sector is

70:31

gonna have a lot of consolidation and

70:32

then the weaker players will be gone I

70:35

don't think it's a watershed moment for

70:38

CD ends look I mean at some point no

70:42

later than 18 to 24 months and we have a

70:44

vaccine the world will go back to normal

70:48

it seems very likely to me we'll have a

70:50

vaccine obviously there's an implicit

70:52

assumption in that

70:58

all the big cloud companies have their

71:00

own CD ends I don't really see this as a

71:06

true watershed moment for CD ends you

71:10

know something interesting that I think

71:11

and this is just kind of a natural

71:14

extension of the way cloud computing was

71:18

already evolving edge computing you know

71:21

like entropy like this is gonna be an

71:24

edge server it's gonna drive my personal

71:25

AI but we're also gonna need latency is

71:29

the speed of light problem it cannot be

71:30

solved since speed of light is kind of a

71:32

you know fundamental physics constraint

71:35

that exists in the universe we're never

71:38

to saw the speed of light problem so

71:40

latency is always going to be with it so

71:42

you're going to continuously be pushing

71:44

you know compute closer and closer to

71:51

users you know the cloud companies are

71:53

doing this you know Google Amazon and

71:55

ash or there are always you know trying

71:56

to push compute out you know they'll be

71:58

huge you almost have this tributary

72:01

system you have the huge core center

72:03

data centers then you have more

72:06

distributed computing that's less

72:07

powerful and these kind of concentric

72:09

circles something that I think is

72:12

fascinating and I don't think it's going

72:13

to be accelerating it has a result of

72:14

this but you know this clearly Amazon is

72:19

correct with their Amazon go store and

72:21

you're gonna have a lot more technology

72:25

in every store and when you when you

72:27

walk into a store in five or ten years

72:30

you know it's gonna identify you by your

72:32

face it's gonna pull up a profile it's

72:34

gonna know everything about you you know

72:36

what were the last things you bought

72:37

there you're gonna get personalized

72:39

advertisements and you're a hourglasses

72:41

as you walk through the aisles you you

72:45

know shrink is gonna be a thing of the

72:47

past you're gonna pay my face you're

72:49

just gonna walk out of the store all of

72:51

that has already happened we just need

72:53

like another I don't know two to four

72:56

revs of Moore's Law and no more one

73:00

thing that is interesting about that is

73:02

that means there's going to be a lot of

73:03

compute power in those stores because

73:06

you're not going to be able to go to the

73:08

cloud to do all of that in real

73:10

and it won't be efficient to do it in

73:12

the clouds you're gonna have a lot of

73:13

compute power in those stores you know a

73:16

lot of the companies that are deploying

73:20

you know AI based loss prevention and

73:24

check out technologies in stores today

73:26

you know they'll put in you know a local

73:30

cluster of nvidia gpus in the store to

73:33

do this but that means you know part of

73:38

the cloud story was driving up

73:40

utilization which drives down compute

73:43

and this means that you're gonna have

73:46

these huge basically data centers and

73:49

not huge you can have very small edge

73:53

focus data centers in every store and

73:57

what can you do with that compute power

73:58

you know like and luckily that will be

74:01

those stores you know not a lot of

74:03

people shop at night but people do use

74:05

the internet at night so is that kind of

74:08

where edge compute is gonna go to stores

74:10

and restaurants that have a lot of local

74:12

compute power to power the AI algorithms

74:16

that they used to deliver personalized

74:18

inshore stoping experiences that is

74:21

something that I am thinking a lot about

74:24

and then I think eventually we will all

74:26

be able to you know right now you can if

74:29

you have a powerful enough GPU if you're

74:33

a gamer like me you can actually earn

74:34

money the entire time you're not playing

74:36

a game on your gaming laptop or your

74:39

gaming desktop by mining cryptocurrency

74:41

like in the future you are going to be

74:44

able to you know let AWS Azure or Google

74:48

use the compute power on your on every

74:52

computer and computing device that you

74:54

own while you're not there then there

74:56

will be some algorithm about you know

74:58

what they're willing to pay relative to

75:00

what electricity costs you and you'll

75:02

make a little bit of money and we will

75:04

all eventually every processor in the

75:08

world will be utilized 80 to 85 percent

75:10

of the time you know this is utilized

75:12

you know I'm not gonna tell everybody

75:14

what my Apple screen time report is but

75:16

I spent way more time than I should on

75:18

my iPhone but like at most I'm using 20%

75:23

the cycles on this super powerful CPU in

75:27

here eventually all computing devices

75:33

will be utilized a hundred percent of

75:34

the time an AWS Google and Azure will

75:38

pay you money for the right to read this

75:42

so I think that'll be something really

75:44

cool and those are kind of the that's

75:46

kind of the waterfall I see for edge

75:47

computing stores and restaurants first

75:51

followed by multiple our own devices it

75:55

sounds almost like an episode of uh

75:56

Silicon Valley with Pied Piper haha I

76:01

think we have time for two more so

76:04

quickly we'll just pivot into looking at

76:06

VC and and given the large amount of

76:08

money in VC and the fallout from the

76:11

vision Fund do you think that there is

76:13

anything broken with the current VC

76:16

model

76:18

yeah I think it's broken at all with the

76:22

current VC model I mean I do think the

76:24

vision fund model broke like you cannot

76:27

create winners with capital at some

76:30

level that was the fundamental

76:32

underlying thesis of the vision fund and

76:34

it looks like it was wrong

76:36

now maybe maybe in a different world

76:42

where you know the vision fund had gone

76:46

slow or had been more mindful of vintage

76:48

risk and had made different investment

76:53

decisions they could have but I don't

76:56

think anyone is going to repeat that

76:57

experiment in the near future

77:01

but the vision fund did have a very

77:04

distorting negative effect on the

77:06

ecosystem

77:07

you also had I think a lot of people who

77:12

decided they needed to be in venture you

77:14

know random hedge funds trying to you

77:19

know outbid and you know they got

77:22

there's a lot of thinking you needed

77:23

logo see other logos there's this crazy

77:25

thing in 2018 and 2019 we have the

77:29

vision fund but on top of that you had

77:31

new players who wanted to get into the

77:33

business and either thought

77:36

to get into the business by either

77:38

outbidding the vision fund or marking up

77:40

the vision fund

77:42

whoopsie-daisy look I've made a lot of

77:46

horrible venture mistakes I was lucky

77:49

enough to make those mistakes anymore

77:52

forgiving environment in 2013 2014 2015

77:56

but there are a lot of if you're a

77:58

public equity investor there are a lot

78:00

of lessons you need to learn when you go

78:03

to venture a mistake and I'm not going

78:07

to see names but a mistake an

78:09

astonishing number of sophisticated

78:11

public equity market participants made

78:14

was you know they get this forecast from

78:18

this you know venture funded SAS company

78:22

doing elite stage financing and they

78:24

look at the 2023 number for revenue and

78:28

then they do

78:30

Evita sales for that and then they'd

78:32

compared it to Evita sales for the best

78:34

public ops eBay Wow the venture company

78:36

is so cheap I'm getting a visit you know

78:39

half the value of the public up or you

78:41

know in some cases you know less than

78:43

half well

78:45

vit your forecasts are not public equity

78:49

forecasts if you miss a forecast as a

78:50

public equity company there are horrible

78:53

consequences your stock goes down a lot

78:54

if you're the CEO or CFO you might get

78:56

fired it is accepted in venture that all

79:00

companies are going to miss 80% of

79:04

companies miss the quarter during which

79:08

their fundraising 90 percent of them I

79:11

think missed the first year estimate

79:13

often by a huge amount so you're

79:16

comparing a public equity forecast

79:18

that's been heavily D rest and I'm just

79:21

gonna make it up but let's say the

79:22

public equity SAS forecast goes 40

79:24

percent revenue growth 20 percent

79:26

revenue growth 15 percent revenue growth

79:28

and you're looking at a vinter forecast

79:30

that goes a hundred 90 80 well probably

79:35

something should look wrong about that

79:37

100 90 80 but the real number is they're

79:40

not going to grow a hundred they're

79:41

gonna grow 70 and if they weren't

79:44

burning cash they'd be growing 40

79:47

so like the first thing you have to do

79:50

is really haircut the numbers and when

79:53

you compound that out generally means

79:56

like the year three actual for your

79:59

average venture funded company is

80:01

probably something like fifty to maybe

80:04

even forty percent of what's in their

80:06

model so it's a massive miss when you

80:08

compound it out and then these aren't

80:10

public companies that care about

80:12

dilution instead of having annual share

80:15

dilution of you know whatever it is five

80:17

percent eight percent if you're in a new

80:20

more aggressive public equity SAS

80:22

company or you know shrinkage if you're

80:25

in a more mature company like Microsoft

80:27

that shrinky its share count every year

80:29

instead the share counts gonna grow ten

80:31

to fifteen percent a year and so if you

80:33

compound that out three years you have

80:36

revenues that are forty to fifty percent

80:38

of what you underwrote and the share

80:42

count is you know forty five to fifty

80:45

percent higher which means the true evie

80:48

to sales if you're looking at that kind

80:50

of silly metric is you're off by a

80:54

factor of three and so i think the good

80:59

news for venture is everybody has now

81:00

learned all those lessons well a lot of

81:06

mistakes have been made I think the

81:08

world is sorting itself out it doesn't

81:12

look like we're gonna have a vision fund

81:13

to which really works to the

81:17

disadvantage of kind of the best VC's

81:19

the best VC's returns are more

81:21

persistent and venture than any other

81:24

for the top decile of a venture than any

81:26

other asset class and the reason for

81:30

that is the best entrepreneurs want the

81:33

stamp of approval from the best BC's so

81:36

they go to the best species first so the

81:38

best VC is there's all this path

81:40

dependency and it's really tough to

81:41

break into that Club you need to get

81:43

really lucky because if the best species

81:46

always see the best deals so everybody

81:48

else is getting the deals that they are

81:50

passing on and this is why returns are

81:51

so persistent for you know the

81:54

benchmarks the Sequoia is the general

81:56

catalysts you know the valor is the

81:58

you know who whoever of the world.they

82:01

is dollars more of a growth equity firm

82:04

but yeah so that so that uh I think the

82:10

world is sorting itself out and

82:12

returning to normal in venture capital

82:15

so just visit capital your city works to

82:19

the advantage of good feces and good

82:21

entrepreneurs capital abundance works to

82:25

the advantage of bad entrepreneurs and

82:27

less established PCs and thank you so

82:32

much I want to be respectful your time

82:34

but very quickly a lot of people have

82:36

been asking what are your favorite books

82:38

and podcasts you have a lot of people on

82:40

this call who only know banking for

82:42

example or people like myself who come

82:44

from you know IT infrastructure and

82:45

vendor selection so how can we learn

82:48

about the other side that we don't know

82:51

yeah gosh I mean favorite books you know

82:55

I love Hemingway Tolstoy and Dostoevsky

83:00

but I think is a technology investor

83:03

we're talking about two things about

83:05

technology what's important for

83:07

technology and then what's important for

83:09

investing and if you're gonna be a

83:10

technology investor both of these are

83:12

important and I a part I'm embarrassed

83:15

to say apart from Patrick's podcast I'm

83:17

generally a reader not a listener so

83:21

technology wise I actually think if

83:23

you're gonna be in tech at all has an

83:24

investor or an operator it is critical

83:27

to read science fiction so much of what

83:29

has happened in the world over the last

83:31

20 and 30 years you know was written

83:34

about eloquently 40 50 years ago it's

83:37

amazing how many things Isaac Asimov

83:39

predict predicted so I think it's really

83:42

critical to actually read science

83:45

fiction because I think it will open

83:49

your mind to how wide rate what a wide

83:52

range of possibilities there are for the

83:53

future in some cases it can help you

83:56

predict and understand the future I

83:59

always think about that great I believe

84:01

it's Alan Alan Kate quote the best way I

84:07

know to predict the future is to admit

84:09

the future I'm not smart enough to

84:11

invent the future

84:12

so I have to spend a lot of time

84:14

thinking about different scenarios but

84:15

yeah everybody should read dune

84:17

everybody should read Isaac Asimov's

84:20

foundation trilogy everybody should read

84:24

the culture series by Ian banks which

84:27

starts with a consider fleebus which is

84:30

reference to TS Eliot poem The Waste

84:32

Land but the culture is in some ways I

84:34

think one of the most powerful visions

84:38

for the future I've ever read everybody

84:42

should read Hyperion so science-fiction

84:46

I think is really really important and

84:48

has been important to me personally it's

84:53

been important to me as an investor it's

84:55

important to me if somebody tries to

84:57

understand technology and I think it's

84:58

one reason I have a lot of close

85:00

relationships with people who are CEOs

85:02

or founders or VCS and I think one

85:04

reason I've been able to bond with them

85:05

is I don't really watch sports I play

85:09

video games I read science fiction

85:10

there's no nerdy reference they can make

85:12

that I can't immediately at least like

85:15

nerd compete with them if not outward

85:18

them so I read science fiction I think

85:24

is very important if you're gonna be in

85:25

technology has it investor I think it's

85:29

really important in terms of books to

85:32

read you know you want to be steeped and

85:34

all of the you know the great books

85:38

about investing you want to reread read

85:40

and reread Warren Buffett's shareholders

85:42

letters you want to either joke in the

85:46

English language you know Shakespeare

85:48

had 90% of the great quotes Churchill

85:51

had the other tip percent in investing

85:53

it's like Warren Buffett as the

85:54

overwhelming majority in Peter Lynch who

85:57

you know I'm lucky enough to have spent

85:59

a lot of time with him and he is a truly

86:01

great investor from whom I've learned a

86:03

lot along with a couple of other fund

86:06

managers of fidelity who were very

86:07

important mentors to me

86:09

but for investing in addition to reading

86:12

everything about investing in the

86:15

mechanics of it I would encourage you to

86:19

read read books that help you be

86:22

comfortable with being wrong

86:25

with managing your ego because when I

86:28

used to interview for fidelity and I

86:31

would interview college kids or MBAs

86:33

like yourselves you know and I think it

86:36

talked about this a little bit on

86:38

Patrick's the first podcast but just in

86:41

almost any profession other than

86:43

professional investing you can multiply

86:46

intellect times work ethic times

86:48

charisma modified by luck which is the

86:51

most important variable and get to

86:53

abandoned outcomes that equation does

86:55

not work at all has an investor because

86:58

the missing the dark matter of being an

87:00

investor is can you be rational when you

87:02

are wrong all of our lives will talk to

87:04

being wrong is shameful and so a lot of

87:06

people find it very difficult to be

87:10

rational when they are wrong so find and

87:14

I recommend a book find find ways to

87:18

deal with your own ego because I think

87:20

one thing that will hopefully come

87:22

through when you know you you talk to

87:24

investors is a lot of good investors are

87:28

actually they have a lot of intellectual

87:32

humility because I think it that is

87:35

having that is absolutely important to

87:38

being a good investor so one book that I

87:42

have read many times in my life and it's

87:45

a kind of somewhere between us I think

87:46

it's a fantasy novel a little bit of

87:48

science fiction

87:48

it's Ursula loquiz Oh mister berthsy and

87:55

are the one you know on the one out on

87:59

the one hand it's kind of a classic

88:01

bildungsroman coming-of-age story but

88:05

other hand it's all about how how does

88:09

the protagonist learn to deal with his

88:11

own ego and it is amazing to me anytime

88:15

I go through a hard time in my life and

88:17

I've gone through a lot of hard times

88:18

personal and professional me look I've

88:21

been very lucky as as an American so

88:24

it's not like I've had hard times the

88:27

way some people in the world have but

88:28

I've gone through hard times but many

88:30

hard times professionally and I always

88:32

reread that book and I take something

88:34

different away from

88:36

each time but that book has helped me a

88:40

lot as an investor kind of learned to

88:42

deal with my own ego and become more and

88:45

more rational when I am wrong and there

88:50

was you know there's exchange on Twitter

88:51

about this you know I think there's a

88:55

book maybe by Carol Dweck the growth men

88:57

mindset that Satya Nadella

88:59

really liked but just looking at

89:05

mistakes looking at being wrong as

89:07

learning you know you you actually by

89:10

definition are not learning if you're

89:11

not wrong the process of learning is

89:13

destroying beliefs and knowledge and

89:16

systems of thinking that you have in

89:18

your mind and replacing them with

89:20

different kind of belief systems so if

89:23

you can view being wrong as learning I

89:26

think it's a really powerful step as an

89:30

investor reading it was diversity has

89:33

helped me a lot with that but just going

89:36

back to investing as a search for truth

89:38

and it's a competition for who can have

89:41

the most accurate possible understanding

89:43

of the current world once it's um a lot

89:47

of times to quote Matt colors all you

89:48

need to invest you know just if you can

89:51

see the present more accurately you

89:52

don't even need to see the future you

89:53

kind of saw the future first but if

89:56

investing is a search for truth that I

90:00

think having kind of as small and ego as

90:02

possible and being really open to being

90:06

wrong and learning is really important

90:08

and everybody this is why there's no

90:10

right or wrong investment philosophy you

90:12

have to find an investment philosophy it

90:15

meshes well with your own particular

90:17

emotional makeup and one that will help

90:20

you be rational when you're wrong for

90:22

some people that stop losses for other

90:24

people it's deep value for other people

90:26

it's growth investing but it it has to

90:29

be the right philosophy for you as an

90:33

investor and this last day outs am very

90:34

sorry but just since you're all NBA

90:37

students I'd say be open-minded about

90:41

investing philosophy some of the

90:43

greatest investors I know

90:46

started with a very different philosophy

90:49

of investing than they engine death so

90:52

be very open to different philosophies

90:54

because it may be the one that appeals

90:56

to you intellectually doesn't work well

90:59

with your own emotional makeup it

91:01

doesn't help you be rational when you're

91:03

wrong and stay humble and look at being

91:05

wrong his learning so sorry that was

91:08

advice that wasn't asked for but uh

91:10

hopefully it was helpful to someone

91:12

great yeah thank you very much for your

91:15

time I know it's about two we don't want

91:18

to take too much your time again there's

91:20

been a fantastic conversation and we'll

91:22

follow up with a email about your

91:24

favorite books because I think a lot of

91:27

people would be interested in the other

91:29

books who I'm sure you've read and are

91:31

thoughtful about that you didn't mention

91:33

sure I'm happy to send a book love book

91:36

list and you know like like I said load

91:40

through a stupe respect for the you know

91:42

the the investment program at Columbia

91:46

so many great investors have come out of

91:48

there it was a bit of dream for me for a

91:50

long time to actually audit the class

91:52

now that I've finally met Mike mobizen

91:55

and he knows who I am maybe he'd let me

91:56

do that but uh you know actually I'm

92:00

super honored that you guys wanted to do

92:02

this and you know anybody who listened

92:05

please continue consider me a friend you

92:08

can always reach out to me david has my

92:11

email and yeah you know hopefully some

92:16

yeah hopefully a lot of good things come

92:18

out of this and you know good

92:19

friendships and relationships and yeah

92:22

best of luck to everybody there's a lot

92:23

of fun good questions Thanks thank you

92:26

very much and we'll do a virtual clock

92:27

but all right thanks okay thank you

92:32

everyone pretty soft all right bye

Interactive Summary

This video features a moderated chat with Gavin Baker, the founder and CIO of Atreides Management, discussing his insights on the market during the COVID-19 crisis, the future of the technology industry, and his philosophy on investing. Baker explains his early realization of the severity of the pandemic, his investment approach during uncertain times, and his views on how the current environment impacts different types of companies. He further explores the concept of the 'Metaverse' within the video game industry, the importance of decisive leadership for CEOs during recessions, and his personal approach to achieving mastery and managing ego as an investor.

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