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Uber CEO: I Have To Be Honest, AI Will Replace 9.4 Million Jobs At Uber!

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Uber CEO: I Have To Be Honest, AI Will Replace 9.4 Million Jobs At Uber!

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2799 segments

0:00

You come to Uber, you're going to work

0:01

your ass off. And if you're not

0:03

performing, we're going to let you know.

0:04

>> But do you ever worry that they might

0:05

not be able to deal with the truth?

0:07

>> Then they can leave because the most

0:09

important skill in life is the skill of

0:11

working hard. And when you see the top

0:13

athletes, Ronaldo, Michael Jordan, of

0:15

course they're talented. But the thing

0:17

that's different about them is they work

0:20

their asses off. And that's a learned

0:22

skill. That's not something you're born

0:23

with. You may be smarter, more talented,

0:26

etc. But I'm not going to let anyone out

0:28

me. with that mentality. When you joined

0:30

Uber, it was losing 3 billion per year.

0:32

Now it generates 8.5 billion in free

0:34

cash flow every year. But it seems that

0:36

you were forged in such a way that you

0:38

were going to be relentless.

0:39

>> Yeah. And it really started with being

0:41

born in Iran with the Islamic Revolution

0:43

in 1978. We were not safe there. And I

0:46

remember at one point we had these

0:48

revolutionary guards come into the

0:49

backyard and bullets went through our

0:51

living room. So my family came to the US

0:54

to rebuild their lives.

0:55

>> You were 8 9 years old.

0:57

>> Yeah. And it really destroyed my dad.

1:00

Sorry me.

1:04

It's tough for me to talk about it.

1:07

It's okay.

1:11

All right, let me try again. Seeing that

1:13

has put me on a road where I just wanted

1:15

to make my family proud. So I studied

1:18

bioelect electrical engineering and then

1:19

my first job was investment banking and

1:21

I got to see the process of big

1:23

companies being built and then I had the

1:25

opportunity to take over Expedia

1:26

>> and in your 12 years as CEO Expedia

1:28

sales increased from 2.1 billion to 8.8

1:31

8 billion and you were the highest paid

1:33

CEO of a US tech company

1:34

>> and I left it all behind to get over

1:36

>> and I want to get into practical company

1:38

building how you would get that company

1:39

to work hard and create a culture of

1:41

continuous improvement and all that

1:43

stuff but there's alien that's arrived

1:44

amongst us which is AI now driving I

1:47

think is one of the biggest employees in

1:48

the world like as a profession

1:50

>> I mean we've got 9 and a half million

1:51

drivers and couriers on our platform

1:53

>> those drivers careers that you have will

1:55

be out of work being honest about the

1:57

situation what do the 9 million people

2:03

Guys, I've got a quick favor to ask you.

2:05

We're approaching a significant

2:07

subscriber milestone on this show, and

2:08

roughly 69% of you that listen and love

2:11

this show haven't yet subscribed for

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whatever reason. If there was ever a

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time for you to do us a favor, if we've

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ever done anything for you, given you

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value in any way, it is simply hitting

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that subscribe button. And it means so

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much to myself, but also to my team, cuz

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as a team and celebrate. And it's the

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thing, the simple, free, easy thing you

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can do to help make this show a little

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bit better every single week. So, that's

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a favor I would ask you. And um if you

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do hit the subscribe button, I won't let

2:36

you down. And we'll continue to find

2:38

small ways to make this whole production

2:40

better. Thank you so much for being part

2:42

of this journey. Means the world. And uh

2:44

yeah, let's do this.

2:49

Darren, you lead one of the most

2:53

consequential, interesting, talked about

2:55

companies of my generation. It's worth

2:59

hundreds of billions of dollars last

3:01

time I checked and it's a it's a company

3:03

that I use every single day.

3:04

>> Thank you.

3:05

>> I've looked through your story. You were

3:07

the CEO of Expedia.

3:09

>> Mhm. at one point.

3:10

>> You're currently the CEO of Uber and

3:12

you've turned that company from a a

3:14

lossmaking company to a highly

3:16

profitable company and one that has

3:18

continued to be successful through such

3:20

a great time of transition. I

3:24

your story starts in a very interesting

3:26

way

3:28

>> and I was you know when I start doing

3:29

the research for guests sometimes I I I

3:31

think I come in with some kind of

3:32

presumption that I grew up in

3:33

California, you went to Stanford etc.

3:35

>> But that is not the case. Can you take

3:37

me to that earliest context so I can

3:39

understand

3:42

how and why you are the way that you

3:44

are?

3:45

>> Uh quite the quite the starting

3:47

questions but but but I'll try. I I

3:49

think that for me the events that shaped

3:54

my life and maybe a part of who I am

3:58

really started with my being born in

4:00

Iran and Iran at the time was

4:02

modernizing becoming a modern society

4:05

and my family built a pretty big

4:09

industrial company that that everyone

4:12

was quite proud of in Iran. We lost all

4:15

of that with the revolution in 1978

4:20

and my family had to come to the US to

4:25

rebuild their lives.

4:27

>> You had to come to the US.

4:28

>> We were not safe there. One of my uncles

4:32

actually was um a cabinet member of the

4:35

Shaw who had just been toppled. And at

4:38

one point, we had uh uh these

4:41

revolutionary guards come into the

4:44

backyard. They were actually going after

4:46

our neighbor's house. Uh and one of

4:48

their guns went off and bullets went

4:51

through our living room. Uh shattered

4:53

the glass in the living room. And at

4:54

that point, my mom's like, "We're not

4:56

safe being here." So, we had to come to

4:59

the US. And I do think that event to

5:02

some extent has shaped not just me but

5:04

my family in that the rebuilding of our

5:08

lives um of our uh economic lives to

5:13

some extent where we're all trying to

5:15

rebuild what we lost in Iran. Do

5:17

>> you look back on that and and can you

5:19

identify any sort of fingerprints that

5:21

were left on you from that time that

5:22

have defined you in a business capacity?

5:25

I think at my core I never feel safe,

5:28

you know, when the the experience of

5:30

losing everything and and for the kids I

5:32

I tell you it was fine for the kids, but

5:36

seeing my parents lose everything and

5:37

and it really destroyed my dad. You

5:39

know, it really

5:41

his losing his value to the world as he

5:45

saw it um really hurt his inner being.

5:52

And I do think to some extent seeing

5:54

that has put me on a road where I want

5:58

to rebuild. I want to make my family

6:00

proud. But at the same time I never that

6:04

feeling of having the floor, you know,

6:06

the rug pulled out of you of building

6:09

everything. That's a feeling that never

6:12

leaves you. I think I think Americans

6:15

underestimate

6:17

what this place represents in its

6:20

ideals, right? which is if you build

6:21

something it's yours. There's a rule of

6:23

law can't be taken away from you. That

6:25

is not true for the majority of the

6:26

population of the world. And so I think

6:30

for me there's a drive to build and at

6:35

the same time never ever ever taking

6:37

anything for granted, never being

6:39

satisfied because the minute you take

6:42

things for granted then that rug can be

6:43

pulled out from under you. on your

6:45

father. There was a moment where he a

6:47

couple of years, I think six years,

6:48

where he got trapped in Iran and wasn't

6:50

granted an exit visa.

6:52

>> Yes.

6:53

>> And I imagine at that time your mother

6:54

was raising you alone here in New York

6:56

City.

6:57

>> Yeah. In Terry Town, New York, 45

6:58

minutes north of New York City, but she

7:01

she went from a life of never having to

7:04

work to she had to become a salesperson

7:07

to make some money and she did it all

7:09

herself and she really stepped up. So I

7:12

think it shaped us. It was difficult in

7:14

some ways. I I miss my dad. I remember

7:16

when he left, he was like a giant

7:18

compared to me. And then when he came

7:20

back, it was my sophomore year at

7:23

college and he still saw me as a kid.

7:26

And so he wanted to drive me to uh to

7:29

college and and he did. And then he's

7:31

like he wanted to hang out. I'm like,

7:33

"Dad, can you get out of here? I want to

7:35

hang out with my kids." I was with my

7:36

friends. I was excited to go back to

7:38

school. And it was just it it was sad

7:41

seeing the change, you know, of a man

7:44

who had gotten older. Uh his time in

7:46

Iran was really tough on him. He had a

7:48

heart attack on the plane coming back.

7:50

So he was a diminished person to some

7:52

extent. Um but

7:55

it was great that I had many many years

7:56

with him, you know, since then.

7:58

>> When he was away, when he was trapped

8:00

around and wasn't able to exit,

8:03

>> your mother Lily

8:04

>> Yes.

8:05

referenced how you didn't mention him

8:07

much, but when he returned, you broke

8:11

down in tears.

8:23

>> Leah, no, don't be.

8:27

He was a very stoic man.

8:33

It's okay.

8:39

Sorry. He

8:41

passed away a couple years ago, so it's

8:43

tough for me to talk about it.

8:46

It's okay.

8:57

All right, let me try again. He was a

8:58

very stoked man. Um, so he kept it all

9:04

inside

9:06

and we were taught to do the same thing.

9:09

Uh, but we wrote letters together and

9:10

they're beautiful letters. He wrote

9:12

poetry. So I communicated with him in

9:14

Iran. But there's

9:18

um expression of feelings and kind of uh

9:23

frustration uh

9:26

were not something that my family did.

9:28

you know, you just dealt with a

9:29

situation. And so, yeah, I I think I

9:32

suffer from uh over stoism and then

9:34

breaking down every once in a while, as

9:36

you just saw.

9:39

>> It's a a familiar story of the the men

9:42

that I've interviewed that grew up with

9:45

that kind of sort of emotional composure

9:47

enforced and um modeled to them.

9:50

>> Yeah. I don't know if it was enforced

9:51

like it wasn't actually. Yeah. like we

9:54

were very loving family but my father

9:57

was very humble. Um he did not believe

10:00

that just because you're in a position

10:01

of power you should kind of project that

10:03

power you should communicate that to

10:05

everyone and there was a stoicism inside

10:07

my family which is don't complain you

10:10

know um so they it was it was a weird

10:13

combination of stoicism and love at the

10:15

same time.

10:17

>> How does um cuz I'm not a father yet.

10:19

>> Yes.

10:20

>> But I I'm approaching that.

10:22

Congratulations. Almost.

10:23

>> Yeah. Almost. Yeah. I've just proposed

10:25

to my fiance and we're, you know, we're

10:26

in the process now of, you know,

10:28

bringing children into the world

10:30

hopefully. And it's one of the things I

10:31

think a lot about, which is how do I

10:33

stop my own stoicism,

10:36

passing on to my children.

10:39

>> First of all, fatherhood, parenthood is

10:42

is so humbling. You have such a picture

10:47

in your mind as to how you're going to

10:48

raise your family, what your kids are

10:50

going to be like. And they just become

10:53

their own people and it's such a

10:56

beautiful process to see. And at first

10:58

there's this alarm. Oh my god, I'm

11:01

losing control. You know, I've I've done

11:03

everything. You've planned everything.

11:04

This is how I'm going to raise kids. But

11:06

then real life gets in the way. It is

11:08

absolutely exhausting. So, you probably

11:12

execute on 80% of your plan and you're

11:14

20% imperfect because you are exhausted

11:16

and you're working and you got a career.

11:18

Uh, or often some people do. And at some

11:22

point, you see these kids kind of move

11:25

off into this completely unexpected

11:28

territory. And there's a point for me it

11:30

was like I I'm a bit of a control freak.

11:33

So, I'm like, this is not good. They're

11:34

kind of doing their own thing. But then

11:36

you you step back and you're like this

11:38

is it's absolutely gorgeous what's

11:40

happening. So the advice that I would

11:42

just give in terms of being a parent is

11:44

just spend the time with the kids. You

11:46

know it is that is the magic is not what

11:49

you do um or or the particular tactics

11:53

but it's the investment in them and the

11:55

time spent with them and the rest you

11:58

know you can't control but what you can

11:59

control is kind of that connection. H I

12:02

um speaking of children, I went back and

12:05

looked through lots of different photos

12:07

of where you lived and where you grew up

12:08

to try and get a picture of your world

12:10

in an early context and all these photos

12:11

look incredibly incredible. I think that

12:14

was your fifth birthday.

12:15

>> Oh wow. I had hair back then.

12:18

>> You had a lot of hair.

12:19

>> My mom loved to dress us up in like

12:21

little doll outfits.

12:22

>> I can tell another one you lord. Look at

12:26

that. I'm definitely not going to do

12:28

that to my kids. age four in London.

12:31

Another photo of you.

12:33

>> You and your cousins there. Another

12:35

photo.

12:35

>> Family was everywhere for us.

12:37

>> And again, another one with a a

12:39

beautiful haircut there.

12:41

>> It was a great childhood. It was

12:43

amazing.

12:43

>> I spoke to your mom,

12:46

Lily.

12:46

>> I hope uh well, how it go.

12:49

We'll see. She said, I'll play the audio

12:52

file just so people can hear it. when he

12:55

was very little, he told me that he

12:58

wants to do something important in the

13:01

world and he said becoming wealthy is

13:05

not his priority but making a change is

13:10

>> I can't say I remember that conversation

13:14

but the

13:17

one of my early experiences that really

13:20

imprinted on me was we went to visit one

13:23

of my dad's It's factories, family

13:25

factories. And my dad was in charge of

13:26

designing factories, building them,

13:27

operating them. And the respect

13:32

that that population, the factory had

13:36

for him and the visit and how excited

13:38

they were that his family was visiting

13:40

was just really cool. And and the way

13:42

that he treated he knew everyone's name.

13:45

He treated them with such respect. It

13:47

just it really imprinted on me. There

13:49

was this care. It wasn't the boss is

13:52

coming and there's fear. And so for me

13:56

like that ability to build a life where

14:01

you have impact on a lot of people but

14:03

it's it's positive kind of building

14:05

impact. You have the broad respect of of

14:09

these folks. It really imprinted on me.

14:10

So I w I always wanted you know when we

14:13

came to the states

14:15

making money was important. I don't want

14:17

to kind of BS and say like, oh, I didn't

14:19

care about it because we lost

14:21

everything. And so my first job was

14:23

like, invest in banking. What's the goal

14:25

of investment banking? Have fun, but

14:28

make money, right? And so that was a

14:31

priority for me. But then as I matured

14:33

in life, as I knew I had safety in terms

14:36

of, okay, yes, I know I can do that. I

14:38

can make money. I can provide for my

14:40

family. I can support my mom and dad.

14:43

Then

14:44

building kind of an enterprise, having

14:46

that feeling that I saw with my father,

14:49

that connection with his team uh was

14:52

something that became really important

14:53

to me.

14:55

>> When you came to New York, you were 8, 9

14:57

years old.

14:58

>> 9 years old. Yes.

14:59

>> If I'd asked you at 9 years old, when

15:00

you arrived to New York, what you wanted

15:01

to do when you're older, what would you

15:02

have said?

15:03

>> I have no idea. I want to make my dad

15:06

proud.

15:07

That was it. I wasn't kind of motivated

15:10

for specific target at all. I just

15:13

wanted to make my family proud.

15:15

>> Why I want to make my dad proud?

15:19

He's always been an important figure in

15:21

uh in my life, you know, that there's

15:24

this um and and I think part of it is

15:27

that I never got to know him that well

15:30

as an individual, you know, cuz he was

15:33

obviously when I was younger, he was

15:35

working all the time. So, he would show

15:37

up once in a while for dinner, etc. We

15:39

always had family dinners together and

15:41

then he went away and then I worked. So,

15:44

I never really got to know the person

15:47

that he was, but I don't know there

15:50

there's kind of this sense of duty.

15:51

There's there's a hope that,

15:54

you know, he's he's somewhere or maybe

15:57

he's not someplace. But that making my

15:59

father proud has always been a strong

16:01

current undercurrent in my life.

16:04

>> So, you're 9 years old, you've arrived

16:05

in New York City. Um, you do end up

16:08

going off to college sometime later.

16:09

>> Yes.

16:10

>> I went to Brown University, studied

16:12

engineering there. How do you think

16:13

about that choice at that time and how

16:16

determinant that was of your trajectory

16:17

in your life? That decision to go to

16:18

that university and study that subject.

16:21

>> My father always said, "You can do

16:23

anything in your life as long as either

16:25

you're a doctor or an engineer." And I

16:27

picked engineering. I just loved the

16:30

problemolving aspect of engineering and

16:33

all the layers of equations etc. and

16:36

those equations being able to represent

16:38

something in real life and then

16:39

magically that something in real life

16:42

following what it should theoretically

16:44

like the problem solving aspect of

16:46

engineering fascinated me. I absolutely

16:48

loved it. Uh and I think it serves me to

16:51

this day.

16:52

>> Engineers make good CEOs.

16:54

>> Great CEOs. If you step back,

16:58

companies are just machines, right?

16:59

They're they're machines that are run by

17:01

people and over a period of time you

17:05

actually try to automate some of the

17:07

stuff that the people do and then you

17:09

send the people off to do new stuff that

17:11

can't be automated like we are

17:13

rulesbased like it's it's an organism

17:15

and it's a machine at the same time and

17:18

to some extent the job of the the the

17:20

CEO is engineering how do I set up the

17:24

company to achieve the goals that you

17:27

know I set for shareholders set for my

17:30

board sets sets for it. It's a giant

17:32

engineering problem and and to me that's

17:33

like fascinating the putting together

17:36

the pieces to get to what you perceive

17:39

to be the goal and one of the really

17:41

important things is you got to pick the

17:42

right goals.

17:43

>> Mhm.

17:43

>> Um that is one giant problem solving

17:46

engineering challenge and it's one of

17:47

the most fascinating parts of my job.

17:49

>> I want to get into that the the

17:51

practical company building how you

17:53

organize um an organization to be a well

17:56

functioning machine setting goals and

17:57

all that stuff. Um after after college

18:00

you go into investment banking for a

18:02

period of time.

18:02

>> Yeah I worked there for eight years in

18:05

risk arbitrage to begin with and then

18:08

mergers and acquisition advisory work as

18:10

well.

18:11

>> And that experience I I was reading

18:13

taught you about betting on people.

18:14

>> Yes.

18:15

>> Versus other what do you mean by betting

18:16

on people and why is that important?

18:18

>> It was uh it was actually a lesson that

18:20

I learned from Herbert Allen who was

18:23

running Allen and Company at the time.

18:24

It it was the the uh the Allen's uh

18:27

family started the company. And he

18:30

always told me and and at the time I

18:32

didn't really listen to him. He he

18:33

always said, "Do

18:36

always bet on people. Companies go.

18:38

There are good companies, bad companies,

18:39

but great people stay great all the

18:42

time." And one of the things that made

18:45

Allan and Company was really special.

18:47

You know, investment banking can be a

18:49

doggy talk sport, but Allan and company

18:53

really cultivated relationships with

18:56

people whom they perceived to be great

18:59

both in terms of potential and in terms

19:01

of character. And of all the investment

19:04

banks, that loyalty, that making a bet

19:06

on a person and then staying with them

19:09

through their whole careers is a pattern

19:13

of how that place works. Uh, and it's

19:16

definitely something that that I learned

19:17

there.

19:17

>> What is it about one's character that

19:19

makes them qualify as a great person?

19:21

>> You look for success, honor, loyalty,

19:24

people who will tell you what they're

19:26

going to do, whether it's good or bad,

19:28

and then follow through on their

19:29

promises.

19:30

>> Hard work. I'm surprised that wasn't

19:32

mentioned as

19:33

>> well. That comes with success. Okay.

19:34

Right. Talent and hard work. You put it

19:36

those two together.

19:36

>> And why did you leave Allen in company?

19:39

>> I left Allen because I met Barry Diller.

19:41

Uh, he was a client of mine. We got to

19:45

meet in a big kind of

19:49

deal uh unfriendly uh hostile tender

19:52

offer for Paramount at the time. It's

19:55

that there's another one happening I

19:56

guess for Paramount uh now as we speak.

19:59

And he was the one person I thought I

20:01

was going to be Allen Lifer. I thought I

20:02

was going to be there forever. My older

20:04

brother Cave is an Allen Lifer. He has

20:07

it's the only job he's had in his life.

20:09

But Barry was the one person who I

20:13

thought, you know, if I get a chance to

20:14

work for this person, I'm I'm I'm going

20:16

to jump at it. And I did.

20:17

>> Why? Why Barry?

20:19

>> He He's spectacular. I mean, he was

20:21

spectacular. He is spectacular. A doer,

20:24

you know. He he I I met him in a

20:27

circumstance where he lost. It was it

20:29

was this giant hostile tender offer.

20:31

Bids going back and forth between uh the

20:34

the winner Viacom and and Barry.

20:37

Ultimately, Barry stepped away and we

20:41

were planning an announcement, you know,

20:44

and you can imagine all these like fancy

20:46

PR people

20:48

sitting around a table. How do we

20:50

present a loss as a win, right?

20:52

>> So, he bid for a company. He didn't get

20:54

it.

20:54

>> He didn't get it and and he walked away.

20:56

He didn't get it cuz he walked away,

20:57

which in hindsight was a was a mistake.

20:59

He could have paid more. Uh and then in

21:01

the release where he walked away, uh I

21:04

think the release was they won, we lost.

21:07

next. And he was a constant motion

21:10

machine like day one, we lost, next,

21:14

what's next? Let's go. And that's the

21:16

kind of person I wanted to work for.

21:18

>> In business, losing is part of the game.

21:21

>> Absolutely. Absolutely. But then calling

21:24

it out, you know, not bullshitting, not

21:27

like, oh, we tried our best and the

21:29

circumstances. They won, we lost. Next,

21:32

it's okay.

21:33

>> Does it matter how you lose?

21:35

>> Absolutely it does. that absolutely it

21:37

does it it's and and I find companies

21:40

guilty of two things like one is

21:43

ignoring losses like papering over

21:45

losses etc right and then sometimes

21:48

being obsessive about the loss you know

21:51

inspecting it what happened let's do a

21:54

summary let's meet what went wrong etc

21:58

and and you know for me it's somewhere

22:00

in the middle which is recognize why you

22:02

lost recognize that you lost say it

22:05

because it's important to say it,

22:07

analyze it, but then move on. Like,

22:10

let's move on. And the next time you

22:13

hope to

22:16

have learned some kind of judgment to

22:17

avoid that kind of a loss, but it

22:20

doesn't mean you're going to avoid

22:21

losing at all. Like, if you're not

22:22

taking shots, you're not missing. You're

22:24

you're not losing. So, for me, it's

22:27

constantly moving and taking your shots,

22:30

losing, learning next, losing, learning

22:32

next. That constant motion is what I

22:34

want to see. Um that constant motion and

22:36

learning is what excites me.

22:40

>> This is business advice but also life

22:41

advice generally because a lot of people

22:43

um who I meet who come up to me and ask

22:44

me questions about things often ask

22:46

questions that sound a lot like what you

22:47

just said. It's dealing with rejection,

22:50

dealing with taking an L, and how that L

22:52

then stays with them sometimes for a

22:54

decade, sometimes for 15 years, and and

22:57

holds them back, hurts their confidence,

22:59

means that they don't take it any more

23:00

shots, and this can cause a sort of a

23:03

downward confidence spiral.

23:05

>> Totally. And and listen, I'm I'm talking

23:07

a big game, but I would tell you in my

23:09

personal life, I can't deal with

23:11

rejection. I have a really hard time

23:13

dealing with rejection. Professional

23:15

life, no problem whatsoever. So it's

23:17

like in the end we're all humans after

23:19

all.

23:19

>> You have a a difficulty dealing with

23:21

rejection in your personal

23:22

>> very much. Yeah.

23:23

>> What kind of rejection?

23:25

>> Any kind of rejection conflict like it's

23:26

it's something that has been uh that I

23:29

fought my whole life which is because I

23:33

was one of the younger cousins because I

23:35

was a youngest brother. I just kind of

23:37

didn't have rights.

23:39

So I was I went with the flow. And going

23:43

with the flow means you're going with

23:45

the current etc. I didn't cause trouble

23:47

and that has followed me in my personal

23:52

life. In my professional life, I don't

23:53

have as much trouble there. I guess my

23:55

professional life to some extent is a

23:56

mask because I get to be aggressive. I

24:00

get to lose, etc. It's something that

24:02

Sid, my wife, has really helped me with,

24:05

but it is something in my personal life

24:08

that generally I'm conflict avoidant.

24:10

>> You're conflict avoidant in your

24:11

personal life. Interesting.

24:12

>> Yeah. Yeah. Definitely. Hm. That's not

24:14

good in a relationship.

24:16

>> No. No. That's why that's why Sid's

24:18

helping me out. I'm much better now. I'm

24:20

much better. But it's

24:21

>> it's when I take those issues on, I have

24:26

to fight myself.

24:28

>> There's some core, you know, if if you

24:30

and I were having an issue. Yeah.

24:31

>> And I was sitting down with you and

24:32

saying, "Hey, I'm not I'm not happy

24:34

about X or Y." I can feel there's a core

24:37

of me saying, "Just let it go." But

24:40

that's how resentment builds and that's

24:43

how relationships um over a long period

24:46

of time start moving the wrong way. So

24:48

it is something that is at my core but I

24:51

actively fight uh and I'm getting better

24:53

at it but I'm still on a learning

24:54

journey there. I'll tell you that

24:56

>> eventually you go on to becoming the CEO

24:58

of Expedia after um there was a couple

25:01

of CEOs that came before you but you

25:03

became the third and

25:04

>> took that company on. Very different job

25:06

going from investment banking to being a

25:08

CEO.

25:09

>> Yeah. Yeah. Now there there was a

25:10

journey there because I went from

25:12

banking to running deals and I knew that

25:16

I knew that I I liked how companies

25:19

worked. The thing that I liked about

25:20

investment banking was that I got to see

25:23

a lot there. I got to see really smart

25:26

people, really cool companies build, but

25:31

I couldn't go along with that journey. I

25:33

was jealous of the journey that these

25:34

CEOs were were moving on. So then when

25:38

M&A was a bridge to work at a company

25:41

and build uh the company, I moved from

25:43

M&A to CFO, chief financial officer

25:46

because that's uh that's that's to some

25:49

extent finance, but it's also being the

25:52

CEO's partner and helping the CEO build.

25:54

So I I always knew the direction that I

25:56

want to go in, which is hey, at some

25:57

point I want to actually be an operator.

26:00

And then I had the opportunity to take

26:02

over Expedia. the CEO at the time, Eric

26:05

Blashford, kind of said, "Yeah, big

26:06

company thing, not for me." So, he

26:08

resigned. And honestly, Barry didn't

26:12

have an alternative. Who

26:14

>> was the owner of Barry was the CEO and

26:18

chairman of IA, which was a parent

26:20

company of what became Expedia, I

26:23

travel. The head of IC Travel resigned.

26:26

I raised my hand. I said, "Maybe I could

26:29

do it." Barry was desperate. He had no

26:31

one else. So he promoted me to be CEO of

26:33

IA travel and IC travel was going

26:36

through some difficult times. So we spun

26:38

it off as at at Expedia. So that's when

26:41

I became the CEO of Expedia, the public

26:43

company and I moved to the Netherlands

26:46

of of uh Seattle.

26:48

>> In your job just before you took on that

26:49

role as CEO, you were buying businesses.

26:53

So M&As, mergers and acquisitions, you

26:54

were buying companies. Yes.

26:56

>> What are some of the companies that you

26:57

bought?

26:58

>> Oh, we bought a lot of companies. Uh we

26:59

bought ticket master. Uh we bought

27:01

match.com

27:03

uh bought Expedia Hotels.com and and it

27:06

was all about the theme that Barry and I

27:09

were uh fascinated with was the movement

27:12

of commerce online. You know, it was it

27:15

was during that uh time. It was the late

27:17

late 90s, early 2000. And and we saw it

27:21

happening with our very own eyes really

27:23

with home shopping, right? It was it's a

27:26

flat screen. It was a television and you

27:28

were offering products and people were

27:30

calling up buying those products

27:32

electronically

27:33

and just the medium changed. The medium

27:35

changed from a TV screen to an internet

27:38

screen and instead of calling you could

27:40

use uh HTTP

27:43

uh and so while the medium changed we

27:46

kind of saw this opportunity to take

27:48

advantage of the of the change of

27:51

platform. So match.com essentially in

27:53

the olden days you know you had online

27:55

dating but you would call a number and

27:58

you'd be like my name is Da and I'm 6'2

28:01

and this you describe yourself and you

28:03

hear other kind of uh recordings and you

28:07

would get matched up based on someone

28:08

who seemed nice

28:10

>> and all of that just moved online. That

28:12

was what Batch.com was. Same thing with

28:14

Ticket Master. You know in the olden

28:16

days you would go to a Tower of Records.

28:18

Have you ever been to a Tower of

28:19

Records? You're too Yeah. So there were

28:20

these things called record stores and

28:23

they also had a desk where they would

28:25

sell concert tickets. So you would

28:27

either call for a concert ticket or you

28:29

would physically go and buy one.

28:31

Amazing. And there were lines, Tower

28:33

Record lines. What's that?

28:34

>> And all of that exactly moved online.

28:38

And same thing with travel, right? You

28:40

would call a travel agent and so all of

28:42

there was this movement of retail and

28:44

phone commerce to online commerce. And

28:47

we identified the early players to make

28:51

that shift and personals, ticketing,

28:55

travel were the ones that we went with

28:57

went for because at the time Amazon was

29:00

doing everything else like physical

29:02

fulfillment. So what we were going for

29:04

were essentially electronic transactions

29:08

that did not require physical

29:09

fulfillment and that was travel because

29:13

you know it's a virtual good ticketing

29:15

uh match.com which which was personal.

29:17

So there was a pattern around the

29:19

madness so to speak but we went out and

29:21

bought all these companies. It was a

29:22

really great time.

29:23

>> I've got two questions that emerge

29:24

there. One one is again I'm really

29:26

interested to understand how you would

29:28

look for talent or how what how you

29:30

think about what a great company is. Are

29:32

there like we we looking at the company

29:34

culture? Were we looking at the

29:35

founders? Was there something else? Was

29:36

it the profitability? And the other one

29:37

is just really intrigued as to what this

29:41

period of your life and thereafter

29:42

taught you about how to spot opportunity

29:45

and transition cuz that is a

29:46

transitional moment of technology. And I

29:50

think there is a certain pattern

29:52

recognition one can develop as to like

29:54

know what to bet on in these moments of

29:56

transition where there's huge

29:56

skepticism. The internet's going to be

29:58

anything. It's a so two questions. One

30:00

is like how do you spot great companies

30:01

and then the second is like patterns in

30:03

transition.

30:03

>> So they're I'd say that they're related

30:05

which is um we would spot great

30:07

companies

30:09

just by observing who is taking the lead

30:11

in these transitions. You know these

30:13

transitions are difficult. You can't

30:15

predict exactly where things are going,

30:17

how quickly they're going, how much

30:18

should you invest, what's a return, what

30:21

uh what the what the market how large is

30:23

the market going to be. But there were

30:26

companies that were emerging as the

30:28

leaders and we would just I just

30:31

identify the leaders and call call these

30:33

folks up and say I want to come in and

30:34

talk to you. Like that was that was it.

30:36

And to some extent it's a

30:38

self-reinforcing cycle which is yes the

30:42

great management teams and the great

30:44

founders were the ones who were able to

30:47

identify the opportunity and hit that

30:49

opportunity faster than anyone else

30:51

recognize that opportunity and execute

30:53

on that opportunity faster than anyone

30:54

else. So to some extent the companies

30:57

who were in the lead of course had the

31:01

best management teams and had the best

31:02

founding teams. And when those two

31:04

things matched, that was when we jumped.

31:07

And then the the last thing I would tell

31:08

you in terms of these pattern uh

31:10

recognitions is that

31:14

we never completed a successful deal

31:17

because we got the company cheap. We

31:20

actually overpaid for every single great

31:24

company that we bought, but we overpaid

31:26

based on what the market thought at the

31:28

time,

31:29

>> not what the reality turned out to be.

31:32

So I do think one of the kind of pieces

31:34

of pattern recognition with me is just

31:37

humans

31:39

think about

31:41

success and transitions in a linear way

31:44

because time is linear.

31:46

>> Would you someone that doesn't just they

31:48

think of it going like this?

31:49

>> Yeah. You know it's it's the everything

31:51

kind of moves this way, right? Your your

31:53

schedule is relatively linear, right?

31:56

It's you sleep seven hours a day. Like

31:58

your life is a linear life. But company

32:02

and company success and company

32:04

momentum, especially with new

32:06

technologies where if there's a

32:08

technology that's truly better than the

32:10

other technology within the virtual

32:12

world, there's absolutely no friction

32:13

holding it back, the these companies

32:17

move in an exponential way in terms of

32:19

their growth and ultimately in terms of

32:21

their value. So whereas most people kind

32:25

of see things they they when they

32:26

project out to the to the future they

32:28

see this what actually happens is this

32:31

and that's where the opportunity is.

32:33

It's the it's the spread between the

32:35

hockey stick and kind of the straight

32:37

line.

32:37

>> Mhm.

32:38

>> Uh and it's very difficult for people to

32:40

process that. And so that was, you know,

32:44

those were the companies that we

32:45

identified that hockey stick. And online

32:47

travel was a hockey stick, personals was

32:49

a hockey stick, ticketing was a hockey

32:51

stick.

32:52

>> I heard about the is it Jeans paradox?

32:55

>> Yes.

32:55

>> Which I think kind of sort of overlaps

32:58

with what you're saying there. When

32:59

things become easier, faster, cheaper,

33:01

people do them not incrementally more,

33:03

but ex like exceptionally more often. I

33:06

mean that that's the definition of Uber

33:07

and we can get to that at some point was

33:10

uh originally it was built as a black

33:14

cab service so to speak a black car

33:15

service.

33:16

>> Can you tell me that's that where it

33:17

came from? Because a lot of people

33:18

history has now moved forward that

33:20

people have forgotten the story of how

33:21

it came to be.

33:22

>> Now to some extent it was it well to a

33:24

large extent it was that the founding

33:25

was was before me but it was um uh

33:28

Garrett Camp who was one of the founders

33:30

had this idea uh and I think it was born

33:33

in Paris. It was like a snowy day in

33:35

Paris and they couldn't find a black car

33:37

and it was a bunch of young young tech

33:39

guys and like how cool would it be to

33:40

like pick up my phone and call a black

33:43

car and that was the the core idea which

33:46

is hey you can use your phone to call a

33:48

black car he brought on uh Travis

33:51

Kalanick Travis was the operator and and

33:54

the founder and to to your point and

33:58

Jeban's paradox to some extent people

33:59

thought well what's the size of the

34:01

black car market place and it was a

34:03

couple billion dollars or what's the

34:05

size of the taxi industry and it was uh

34:08

more than a couple of billion dollars.

34:10

But what they didn't see at the time was

34:12

that as you improve the con if you

34:16

radically make something either more

34:18

convenient or cheaper, the market

34:22

expands beyond how you calculate it. So

34:25

the Uber size and scale now is way

34:28

beyond the original marketplace of black

34:30

cars and or taxis. It it's the company

34:33

the company today is a result of Jeban's

34:36

paradox

34:37

>> timing.

34:38

We often um we often don't think much

34:40

about the luck of timing. Luck is an

34:43

interesting word to use, but how

34:44

important timing is and other sort of

34:46

foundational factors are in enabling a

34:48

company like Uber to exist. When you

34:51

think about the timing of Uber, what are

34:53

the sort of the foundations that made it

34:55

possible?

34:56

>> Well, it was it was a mobile revolution.

34:58

It was um mobile data technology, the

35:01

iPhone coming together. In the early

35:03

days, one of the geniuses of Tra of

35:06

Travis was he would hire these market

35:08

managers who would be GMs of new cities

35:11

that they would expand into. and they

35:13

would literally go to the city with a

35:15

bag full of iPhones and give away

35:18

iPhones to black car drivers to get them

35:21

to come on Uber because at the time a

35:23

lot of them didn't have you know they

35:25

they didn't have smartphones so to

35:27

speak. So the onset of the of the

35:30

smartphone was that kind of that

35:33

beautiful magic of timing coming

35:35

together and then aggressiveness of that

35:37

founding team to understand that there's

35:40

a pattern here and I'm going to

35:42

replicate that pattern all the world and

35:44

raise as much capital as I have to to

35:47

get there faster than anyone else. That

35:49

was the magic. But it was, you know,

35:50

again, it's, yes, there's luck in there,

35:53

but if that founding team hadn't been as

35:56

aggressive in, you know, blit scaling,

35:59

which is a term that folks used, uh, all

36:02

around the world, company wouldn't be

36:04

what it is today.

36:05

>> Your transition out of investment

36:06

banking into Expedia, CFO, then CEO. You

36:10

know, listen, there's a stereotype in

36:11

business that um investment bankers and

36:14

CFOs don't necessarily make the best

36:15

CEOs because of

36:17

>> they might stereotypically

36:20

>> over financialize

36:21

>> over financial maybe be less riskaverse,

36:23

maybe be less, you know, those kinds of

36:25

things. And when I spoke to Barry, he

36:28

did say the following. I'll just play it

36:30

for you because it's uh better coming

36:32

from him. H

36:33

>> he was not an actual leader uh because

36:36

he had uh his career up until then has

36:41

had been on the financial side of

36:43

things. So he really had not yet had the

36:47

experience or opportunity to manage

36:49

people. That came in a difficult way to

36:52

him and he mastered it. It didn't take

36:55

him all that long. He mastered how to

36:57

become a leader and he mastered how to

36:59

take ultimate responsibility for a

37:01

company.

37:03

>> Yeah, it was um growing up under Barry

37:06

was was and and by the way I I wouldn't

37:07

be where I am today without not him as a

37:10

mentor because he's not like a mentoring

37:11

kind of guy but him as my leader

37:14

learning from him. But I say that the

37:16

experience that really really shaped me

37:19

uh as it relates to Expedia was I did

37:22

come in as more of a financial leader.

37:25

our

37:26

leadership at Expedia.com failed. I

37:29

hired a I had to fire the first uh

37:32

person. I hired a second person.

37:35

Complete disaster. And so I was 0 for

37:37

two in terms of hiring for our largest

37:40

business. This business was 50% of our

37:42

profits and I was 0 for two in uh in

37:44

hiring. And so I went to Barry and the

37:46

board and I said, 'Well,

37:49

if I miss hiring the third person to run

37:52

the biggest parts of our business, then

37:53

you should fire me. Barry quickly

37:55

agreed, yes, of course we will. So I

37:57

said, obviously, I don't understand

37:59

enough about the job to find the right

38:02

person. So I think I've got to take the

38:05

job myself for 6 months to a year to

38:08

understand what what is it that the job

38:10

entails for me to then go and and find

38:13

that person. And so for what turned out

38:18

to be I think it was five or six years I

38:21

ran both the holding company Expedia

38:22

Inc. which is a public company and I ran

38:25

Expedia.com. I was president of the

38:27

largest part of the company. That

38:29

experience taught me my operating

38:31

troughs. That experience actually taught

38:33

me how is it that you operate a company?

38:36

How is it that you run something? And

38:38

that's a very different skill set from

38:40

capital allocation and you know all the

38:42

financial uh wizardry that people embark

38:45

on. That's important. But the what I

38:48

discovered was operating a company,

38:51

leading a company, organizing it,

38:53

operating it, setting up the goals,

38:56

getting the right team together. That's

38:58

the part of the job that I loved. So it

39:01

it it took me a while to get there. Like

39:04

my whole life, my whole early career was

39:06

in this financial sector. which I

39:08

enjoyed, but I didn't find my true love,

39:13

which is operations and running

39:15

companies and running a technology

39:16

company until way, way later in my

39:19

career. Uh, and I think to some extent

39:22

now I've got both. I've got that

39:25

financial part cuz it has to work. But

39:27

the operations and the leadership part

39:29

of the business is something that that I

39:31

love.

39:32

And watching Barry take responsibility,

39:36

take shots, go against the grain, um, as

39:40

aggressively as he consistently did, I

39:42

think has made me a much better operator

39:44

than what the counterfactual would be if

39:46

I had another boss.

39:48

>> Three months into that role, the head of

39:49

HR told you that you were scaring

39:51

people.

39:53

>> I've forgotten about that.

39:56

>> I think that was my job. Yeah.

40:00

What's the context there?

40:01

>> You know the context was that

40:04

I first of all turnarounds in technology

40:07

are really hard. Uh we were talking

40:09

about the momentum thing where momentum

40:11

is positive. In the technology sector if

40:15

momentum turns negative it is remarkably

40:19

difficult to turn it around. You know

40:22

Yahoo is hanging on but it was the great

40:26

company and you see where it is now.

40:28

It's brutal when you get it wrong. And

40:32

it always takes longer than you think.

40:34

And it goes to, you know, what I was

40:36

talking about linear versus exponential.

40:38

Just like the curves up are exponential,

40:41

curves down are exponential as well. The

40:43

first couple of years look bad, but

40:46

they're not that bad.

40:47

>> But you know in your mind that 10 years

40:50

from now, it's going to be a [ __ ]

40:52

disaster. Mhm.

40:54

>> So what I saw with Expedia was a

40:57

technology company

40:59

whose technology engine was broken.

41:02

Codebase was old, had not been

41:05

reinvested in. Technology leadership was

41:08

coasting.

41:09

And that really alarmed me. And one of

41:13

the things that I learned from Barry in

41:15

terms of leadership is

41:18

that when you know a bell is rung, when

41:20

when you when you see something, when

41:22

you see a pattern, you have to act. You

41:25

can't wait for a second. So in my mind,

41:28

once I figured out, oh my god, this

41:30

really is a turnaround. This isn't like

41:32

a company that I've got to tune. this

41:34

company if I don't move and move hard

41:38

and fast is is going to start on that

41:40

exponential decay curve. I had to move

41:43

quickly and at that point and and I am

41:47

one of the skills that I learned from

41:49

Barry is transparency. It's like

41:51

whenever he wanted to understand an

41:53

issue he wanted to go to the source. He

41:55

didn't want a summary and it didn't

41:58

matter where that source was. Is it a

42:00

junior analyst or a president? He wanted

42:03

to hear from the source because what he

42:05

didn't want to lose is lose the fidelity

42:08

of the issue. You know, when there's an

42:10

issue here and then it goes through the

42:12

analyst and the associate and the vice

42:14

president and an SVP and whatever, by

42:16

the time it's summarized for you as the

42:18

CEO, it's just it's lost everything. And

42:22

usually their levels are like, "Hey, do

42:24

we really want to tell them that? Why

42:26

don't we phrase it this way, etc." So

42:28

your whole life as a CEO is kind of a

42:33

it's a version of the world that your

42:36

team wants you to see. And if you got a

42:38

good team, usually it has more to do

42:41

with reality than not, but you are

42:44

subject to your team and the information

42:46

flow that that gets to you. And so Barry

42:49

always wanted to go to the source. He

42:50

would just cut through levels, cut

42:52

through levels, get to

42:55

the core of the idea, and then once he

42:58

did, he would move and he would move

42:59

fast. And for me, I've kind of I have

43:05

held on to that, but I've also turned it

43:07

the other way, which is

43:09

one of the ways in which I can depend on

43:12

getting the real [ __ ] from you is my

43:15

being honest with you, right? and and

43:18

human beings are good [ __ ] you

43:21

know, kind kind of meter so so to speak.

43:23

And and when you're the CEO and you're

43:26

talking to your staff and you're giving

43:28

all the, you know, the business talk and

43:31

we're doing this, but the last quarter

43:33

we had some certain challenges and this

43:35

and that, they see you bullshitting them

43:38

and so why the hell should they tell you

43:40

the truth, right? if their if their boss

43:42

isn't telling them the good stuff, why

43:45

should they give the good stuff back to

43:46

the boss? So, for me, it it was almost

43:50

like a self-defense mechanism that as a

43:52

boss, I'm going to tell you what's going

43:53

on because that's the only way I can

43:56

drag the hard truths back from you. Cuz

43:59

otherwise, you're going to filter

44:00

yourself. You're gonna be like, I don't

44:01

want Dart to know this happened.

44:04

>> But do you ever worry that they might

44:05

not be able to deal with the truth?

44:07

>> Then they can leave. And and I think

44:10

that that's so I think that's what my

44:12

head of HR was saying. I was scaring the

44:14

[ __ ] out of people cuz I'm like we have

44:15

a real problem here and we've got to

44:17

come together and and I think that that

44:21

you know there's a I was a good

44:24

decision-m framework for me is um if I

44:26

make a mistake where do I want to make

44:28

the mistake on? Right? And so if I want

44:32

to if I'm going to heir with my company,

44:35

I'm going to heir in telling the truth

44:38

and potentially scaring someone away.

44:40

I'll take that because if that person

44:42

doesn't want to face the truth, if he or

44:44

she's not up for the fight, then they

44:47

should go someplace else. They can have

44:48

a good time. I'm sure they can have a

44:50

good career, etc. So for me as a leader,

44:53

I've always always believed in

44:55

transparency partially because then I

44:57

think you attract the right people.

44:59

>> Mhm. and uh partially because then I'm

45:02

gonna get the good information so to act

45:04

on. Usually the failures I see with CEOs

45:09

aren't because they made the wrong

45:10

decisions. It's because they were

45:12

getting the wrong data that led to the

45:13

wrong decisions. So it's incredibly

45:15

important as a leader of any

45:17

organization for you to build the

45:21

channels and build the kind of culture

45:23

that surfaces problems to you quickly.

45:25

And then for me too, you always have to

45:28

have your random direct channels. You

45:30

know, the the again, if you think about

45:33

organizations as organisms,

45:36

they have their own incentives. And so

45:38

my staff's incentive is to control the

45:42

the the information that gets to me, not

45:44

because they're bad people. It's just

45:46

their job because I can get overwhelmed.

45:48

Who do I meet with? What's my schedule?

45:50

You know, is this person worthy of

45:52

meeting the CEO? And for me, my fight is

45:55

I just set up a bunch of random [ __ ]

45:57

I'll meet with, you know, engineers four

46:00

levels down consistently because usually

46:03

they've got the kind of personality

46:04

where they don't give a [ __ ] They'll

46:05

tell me anything and everything and they

46:07

like putting the CEO down. That's great.

46:10

>> They like putting the CEO down.

46:12

>> It's, you know, engineers often, you

46:14

know, don't like authority and code is

46:16

like the biggest authority buster. It's

46:18

like the truth truth. Uh, so I find a

46:21

lot of engineers have a personality

46:22

which is, yeah, I'm gonna tell you what

46:24

it's like. Like I'm, you know, they they

46:26

they their value is in something else,

46:29

but often they don't. There's a kind of

46:30

a disrespect for authority that I love.

46:32

>> I found in my companies that there's

46:34

sometimes like a 24year-old young girl

46:37

who will just tell me the truth.

46:38

>> Yeah.

46:38

>> And she's the one you want to hang out

46:41

with.

46:42

>> She's the one I always go and ask for an

46:43

opinion.

46:44

>> Absolutely. And so that that's you've

46:46

got to have your your own channels, but

46:48

the way to the way to get transparency

46:50

from your team is first first you've got

46:53

to give it to them.

46:54

>> Was the culture hardworking when you

46:56

arrived? Could you use the word coasting

46:57

to describe some of the team when you

46:58

arrived at Expedia?

47:00

>> Medium. I think the company had been

47:02

successful for a long time and uh had

47:05

coasted on that success to some extent.

47:08

So I needed to turn over the team turn

47:10

over like the entire team very very

47:11

quickly and get some hungry people in

47:13

there. the entire team.

47:14

>> Almost the entire team. Yeah. Yeah. It

47:16

was uh it was rough going for a while,

47:18

but then you have kind of

47:20

missionoriented people who are trying to

47:21

prove themselves. Um and it's part of

47:24

the renewal that every company has to go

47:26

through and we turned it around. It was

47:28

it was tough going, but we really turned

47:29

around and that was when I kind of I

47:32

learned, hey, my my love is running

47:34

[ __ ] It's great. It's the best part of

47:36

my job.

47:37

>> How did you get that company to work

47:38

hard? Because there's so many people

47:40

listening right now that are in a

47:41

company that might have been successful,

47:43

might be two decades in

47:45

>> and this is an ultimate question in like

47:47

executive management. How do you turn

47:48

around the culture of a big or even even

47:51

200 people?

47:53

>> It's very difficult. Um and sometimes

47:55

the shortcut is just change of people

47:57

like it's very easy to say oh you have

47:59

values this and that. So it's it's

48:02

finding the people who you believe will

48:05

line up with your cultural mechanisms or

48:08

how you work or your values

48:11

and then embodying those values and

48:15

those mechanisms as examples and then

48:18

making sure that your team embodies

48:19

those values and imbuss down the down

48:22

the organization. So part of working

48:24

hard is like, you know, sending emails

48:26

to the team on a Saturday and if I don't

48:28

get a response on Saturday, sending them

48:30

an email on Sunday with a question mark.

48:32

What's going on? You know, I think at

48:34

Expedia in hindsight,

48:37

we we worked intensely and and and we

48:39

went hard, but but not as hard as I like

48:42

because Expedia was we were selling

48:45

vacations, right? It was it was the the

48:48

product that we were selling was about

48:50

turning yourself off. And so we did talk

48:53

about work life balance. Uh and in

48:57

hindsight

48:59

at Uber, I don't, you know, you come to

49:02

Uber, you're going to work your ass off.

49:04

We're going to be really demanding. If

49:06

you're not performing,

49:09

we're going to let you know, and if you

49:12

don't fix it, we're going to push you

49:13

out. But while it will be incredibly

49:16

hard,

49:18

you will have real agency at the

49:20

company. We're a big company, but

49:22

individuals can make a big difference.

49:24

And it's a company that's making a

49:25

difference in the world. You're going to

49:27

learn so much. And while you will have

49:31

worked hard, you're going to have a

49:32

great time. But this is don't come here

49:35

if you want to coast. And I'm very clear

49:37

about that. And I should have been more

49:39

clear at Expedia, but we were selling

49:40

vacations, so I couldn't be quite that

49:42

clear.

49:44

>> New year always has a strange energy to

49:46

it because people start talking about

49:48

their goals, fresh starts, and new

49:49

habits. But the reality is that most

49:51

people carry the same ideas they had

49:53

last year into the new year. I'm guilty

49:55

of that, too. And they still don't end

49:56

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49:58

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50:46

In your 12 years as CEO, Expedia stock

50:48

rose 550%.

50:51

And sales increased 400% from 2.1

50:55

billion to 8.8 billion. And you were the

50:58

highest paid CEO of a US tech company

51:00

with a pay of 94.1 million.

51:03

>> I left it all behind to go to Uber.

51:05

>> You left it all behind. There was a big

51:06

options packet that I never vested, but

51:08

it's all good.

51:09

>> It was a great run.

51:11

>> I'm so I'm so intrigued about this point

51:13

of hard work because I think 10 years

51:14

ago saying what you just said was very

51:16

taboo.

51:17

>> Yes.

51:18

>> It feels to be more invoked.

51:20

>> We're freed now. YES.

51:21

>> YOU'RE FREED NOW.

51:22

>> YES. YES, INDEED. It's it I've I've

51:25

gotten um you know, sometimes people ask

51:28

you the question, uh what advice would

51:30

you give to young people? And to me, the

51:33

most important skill in life is a skill

51:36

of working hard. And it's not a skill

51:38

you can't just like decide you're going

51:40

to do it. And I think way too many many

51:43

people, you know, focus on should be

51:45

should should you be a computer

51:47

programmer or a doctor or study the

51:50

liberal arts now that anyone can vibe

51:52

code? Just learn to work hard. And it

51:55

is, you know, the the when you see the

51:57

top athletes,

51:59

of course, they're talented and, you

52:02

know, their talent level is world

52:04

levels, but the thing that changes that

52:06

that's different about the elite

52:08

athletes than the non- elite athletes,

52:10

and I'm talking elite, is they work

52:13

their asses off. They're disciplined.

52:15

They're structured. They're relentless.

52:18

You know, look at Ronaldo, look at

52:20

Michael Jordan, etc. That's the same

52:23

thing is true in all of life. It's true

52:25

in business. It's true in personal life.

52:27

And so for me

52:29

with my kids, I just want to teach them

52:32

how to work hard. And and for me, like

52:34

growing up, I as a banker, as an

52:37

executive, I'm not going to let anyone

52:40

out me. And if that's true, then they

52:43

may be smarter, more talented, etc. But

52:46

I'm not going to let anyone outwork me.

52:48

And I think that that's a huge advantage

52:50

that you have. over a period of time

52:51

that advantage compounds and I want them

52:54

our company like I want Uber to be an

52:55

incredibly hardworking company

52:57

>> comes at a cost though working hard

52:59

>> yes it it comes at a trade-off and and

53:01

we we believe in flexibility so people

53:05

confuse kind of lack of flexibility to

53:07

working hard you can work hard and at

53:10

the same time you can have flexibility

53:11

so if you want to have dinner with your

53:13

family and I'm I'm religious about

53:15

having dinners with my family when I'm

53:16

in town you know 6:00 to 8 uh absolutely

53:19

spend that I'm with my family, but at,

53:22

you know, 9:30 p.m. I'm checking emails.

53:24

>> Mhm.

53:24

>> Right. When I wake up at 5:30 and a.m.

53:27

I'm checking emails. So, of course,

53:28

there are trade-offs. And, you know,

53:30

life is about trade-offs.

53:32

>> I think one of the most important things

53:33

I've learned from interviewing CEOs and

53:35

generally we've gone through a

53:36

transition of COVID and remote work and

53:37

then come back into like everyone's in

53:39

the office again is actually the most

53:41

important thing is what you just said,

53:42

which is being honest with people so

53:43

that they can make decisions for

53:45

themselves in their lives. I think the

53:46

the thing that one might describe as

53:48

toxic is when you say something

53:51

publicly, but then when they arrive,

53:52

it's a completely different deal. But

53:54

what you're doing is you're being honest

53:56

and you're therefore allowing people to

53:57

make decisions for themselves in their

53:58

own lives.

53:59

>> And I'm allowing them to be honest back

54:00

to me.

54:01

>> Yeah. And you're a that's a that's a

54:03

company culture that someone like me

54:04

would be attracted to.

54:05

>> Absolutely.

54:05

>> But there's lots of people listening

54:06

that couldn't think of anything worse.

54:07

>> And that's okay.

54:08

>> Yes. Yeah.

54:09

>> There are plenty of companies that they

54:10

could find or plenty of causes that they

54:12

can find. It's fine. You said learn to

54:14

work hard. Learn

54:17

>> it's a it's a skill.

54:19

>> Really?

54:19

>> Yes. Of course it is because you you've

54:22

got to the idea of just staying focused

54:25

on something, not being discouraged by

54:27

failing, trying over and over again and

54:30

just working harder than others. It's

54:32

not something you can turn on and off. I

54:34

see it in people all the time. There's

54:36

just like this grim determination. like

54:39

we uh at Uber that there's actually

54:41

saying it's it's it's inside one of our

54:43

values. Embrace the grind, you know,

54:46

embrace it. That's

54:49

that's a learned skill. That's not

54:50

something you're born with. Maybe maybe

54:52

there's an element that you're born

54:53

with.

54:53

>> Have you ever seen someone who isn't a

54:55

hard worker become a really hard worker,

54:58

an exceptionally hard worker?

54:59

>> Ah, that's a good question. No, no one

55:02

doesn't occur to me. Have you?

55:05

>> No. I I heard I think it might have been

55:08

maybe Brian Chesky Airbnb or Elon say

55:11

that he's never seen someone who wasn't

55:13

a hard worker become a really hard

55:15

worker.

55:16

>> That's interesting.

55:16

>> And this is why

55:17

>> I'm trying to come up with someone

55:20

failing so far.

55:21

>> And maybe I might posit that it's

55:23

somewhat to do with you know these

55:26

photos that you have in front of you,

55:27

your childhood, your early context which

55:30

you didn't choose. I also working hard

55:31

here. But yeah,

55:32

>> but that you were forged in such a way

55:35

that you were going to be

55:36

>> ruthless. So relentless is the word I

55:38

meant.

55:39

>> Yeah. I I mean ruthless to myself.

55:41

>> Mhm.

55:41

>> Relentless. Relentless is right. You

55:43

know, I think I think at one point Jeff

55:45

Bezos was going to call Amazon

55:46

relentless. That was uh he was thinking

55:49

about that being the name of the

55:50

company,

55:50

>> right? It's it's just and and that is

55:54

when I see successful technology

55:56

companies and especially technology

55:57

companies there is this relentlessness

56:00

about them like at Uber we have lots of

56:02

different groups that are trying to do

56:04

different things but each and every team

56:08

is built and targeted on optimizing and

56:12

improving their own particular function.

56:15

There isn't a piece of the company that

56:17

is not improving every single day. And

56:19

if they're not improving fast enough,

56:21

someone else is going to take their

56:23

place and going to improve it. So as a

56:24

as an organism, every part of the

56:27

company, whether it's a payments team in

56:30

terms of new payments types or uh

56:32

payment success or the fraud team or the

56:36

mobile app team in terms of conversions,

56:38

etc. Every team is set up in and

56:41

organized for and gold on improving

56:44

everything that they do. So the whole

56:46

company in small ways is constantly

56:49

improving never ever stopping and it is

56:52

that relentless nature of business and

56:54

and the minute and it's not good enough

56:56

to get better. We have to get better

56:59

faster than our competitors because our

57:01

competitors are all getting better as

57:02

well. So it's it's basically like who

57:05

can adapt faster to either the reality

57:08

of the market as it is today or the

57:11

prediction of the market as you see it

57:12

tomorrow. And it's the speed of change

57:15

and it's identification of the

57:17

opportunity. Those are the two factors I

57:19

think that are most important. Um, and

57:22

the speed of change, you know, if you

57:24

can work fast, you're kind of

57:25

accelerating time. You know, every one

57:29

shot that you take, I can take two

57:31

shots. I've got more time than you do.

57:32

And then, of course, there's identifying

57:34

the opportunity, going after it. Those

57:36

are the two things you really have to

57:37

get right. If you're taking two shots,

57:39

not only you going to get two data

57:41

points of information, but you're also

57:43

increasing your probability of having a

57:44

successful shot by like 100%.

57:46

>> Shots on goal. Just shots on goal.

57:48

>> How do you create a culture of

57:49

continuous improvement? Because

57:51

successful companies, as you kind of

57:52

highlighted earlier, they become

57:53

complacent with their victories and they

57:55

like to take some time off and celebrate

57:57

and

57:57

>> you know, we high five and then and then

57:59

we chill and then actually the studies

58:00

show they did this big meta analysis

58:02

where they looked at successful

58:03

companies and they showed that they

58:04

become risk adverse.

58:06

>> Totally. because they lost a version.

58:08

They have something to lose now. So just

58:10

protect.

58:11

>> I think the good news to some extent

58:13

with Uber is that we've always been a

58:15

company that has had a chip on its

58:17

shoulder. You know, the company had a

58:19

chip on it shoulder when it was founded

58:21

and had to like fight taxi unions for

58:23

its very existence. Uh and then the

58:26

disaster happened with Travis leaving

58:29

and then a new CEO coming in at the

58:31

time. That was a really really difficult

58:32

time. Then we went through a period of

58:35

COVID which was again a disaster for the

58:37

company but ultimately prepared us to to

58:39

do better. Then people saying you know

58:41

it was a tough IPO. Uh Uber is never

58:44

going to get profitable and today we're

58:46

incredibly successful but we've got the

58:49

challenge and the opportunity of AI and

58:51

autonomous. So we've always been a

58:53

company that has been I would say

58:55

underestimated

58:58

and that feeds into our culture that

59:01

this is a we are a hungry company and I

59:04

do think we're sometimes

59:07

guilty of getting complacent in little

59:09

ways and I have a leadership team that

59:12

when they see complacency more often

59:15

than not than not they identify it and

59:17

they get it the hell out. It's it's a

59:20

team that is not satisfied, that's

59:22

always driving and I love that about us.

59:25

>> How does one balance enjoying the

59:28

success and the accomplishments? I mean,

59:30

you've turned this company around,

59:31

highly profitable company. Everyone that

59:33

I've spoken to, many of our mutual

59:35

friends have talked lovingly about the

59:37

impact you've had on the business. I

59:38

mean, the numbers speak for themselves.

59:40

When you joined Uber, Uber was losing

59:41

2.5 to 3 billion per year. Now, it

59:44

generates 8.5 billion in free cash flow

59:47

every year.

59:48

How do you get people to

59:50

>> 9.8 in the last year, but

59:52

>> you you're counting 9.8. Okay.

59:54

Incredible.

59:57

>> Celebrate. Chill.

59:58

>> Sure. Well, you you can you can

60:00

celebrate or not chill.

60:02

>> Okay. How

60:02

>> you can do we we take those moments. We

60:04

do c it's cool to run a company. That's

60:07

so important. It's cool to run a company

60:08

that's hitting record after record after

60:10

record. And we do celebrate those

60:13

records and we do celebrate those teams.

60:15

Maybe not enough. And again, it goes to

60:16

like what what what mistake would you

60:19

rather make? I'd I'd rather make the

60:21

mistake of celebrating a little bit too

60:23

little and kind of being a little pissed

60:25

off about life in general and pushing.

60:28

But um we we take our moments, but the

60:31

the the success itself, I don't know,

60:33

succeeding is almost a celebration in

60:35

and of itself. And and when you're

60:37

succeeding in such a competitive field,

60:40

I just find a deep sense of satisfaction

60:42

there. Uh and I think my team does, too.

60:45

How do you get the team to take take

60:47

those risks that they need to take? Is

60:49

there something you do you like

60:50

incentivize them on the amount of shots

60:52

they take? How do you do that? One is

60:54

they're always moving fast. That's what

60:56

we do. We push we're constantly pushing

60:59

the pace of the company in terms of

61:00

execution. So I think that helps. But

61:03

but I do think that there's there's a

61:05

mechanism that we talk now about that

61:07

I've talked to a team about taking smart

61:08

risks. I think you're absolutely right

61:10

which is as companies get bigger and

61:12

more successful they tend to become more

61:14

riskaverse

61:16

and it should be the exact opposite

61:17

because you can take more risks you can

61:19

make more mistakes because you've got

61:21

kind of this 9.8 8 billion of cash flow

61:23

to protect yourself against some of

61:25

those mistakes. So I have definitely in

61:28

the past I would say two years pushed

61:31

the team actively to push the envelope

61:33

in terms of risk. Don't be defensive, be

61:36

offensive, etc. And it comes from my

61:38

challenging the teams, my talking about

61:40

it, setting examples of sometimes

61:43

failing and then saying it's okay,

61:45

moving on. Uh and then sometimes my

61:49

taking decisions that are seen as more

61:51

risky than not. that setting the example

61:53

then allows the company to follow.

61:55

>> So if I was in one of your teams, what

61:58

how do you think about goal setting for

62:00

me?

62:00

>> Um all the teams have different goals,

62:02

business goals. The ads team has to

62:05

drive at technologydriven incremental ad

62:10

uh dollars per year andor customer

62:13

satisfaction uh customer NPS etc. So

62:16

every team has its own goals uh and they

62:20

organize against those goals and they

62:22

execute those goals and they're

62:23

religiously tracked. It's the best

62:25

mechanism that we have. I just wish that

62:28

there was a better one because the art

62:30

of the goal setting becomes the issue

62:32

which is are you setting the right

62:33

goals? Are they too ambitious? Are they

62:35

not ambitious enough? And sometimes

62:39

people can game the system. So we use it

62:42

but I can't tell you that it's perfect.

62:44

What about you talked earlier about

62:45

values. A lot of companies go and do an

62:47

offsite and they write some words on a

62:48

words on a white on a wall and they say

62:50

ambition, enthusiasm, courage, whatever.

62:53

What do you think of that sort of

62:54

corporate habit of go values and stuff?

62:58

>> We went through the exercise, failed the

63:00

first time, succeeded the second time.

63:04

We and and when it and we failed when it

63:07

first came to Uber, obviously there was

63:09

a view that there we needed a cultural

63:11

reset of the company and so it was very

63:15

important for me to go and inspect the

63:17

culture of the company and

63:20

change it. It was a statement and the

63:23

culture had I think some cool stuff in

63:26

there, some cool ideas in there. Like

63:27

for example, there was one value that

63:29

was um to stepping and the idea of toe

63:32

stepping is is what you and I talked

63:34

about earlier, which is we want to

63:36

challenge each other within the

63:38

organization. And so if I have to step

63:40

on your toes and tell you something that

63:42

you don't want to hear, I'm allowed to

63:45

even though it hurts you uh because the

63:48

truth is more important. So sometimes

63:50

the truth hurts and that's okay. That

63:52

was the idea of toestepping. And what

63:54

happened was sometimes those values

63:56

became weaponized where to stepping

63:59

whose spirit came from a place of we

64:02

want to speak the truth became an excuse

64:05

to be a jerk.

64:07

>> Right? So the values in and of

64:09

themselves can be great or

64:14

terrible based on how you execute on on

64:17

those values. When I first came in, we

64:19

had to redo the values. And I was there

64:22

there's a saying by um Jeff Bezos that

64:24

that I love, which is like the the

64:26

values of the company almost they they

64:28

they appear the value system of the

64:30

company appears to some extent. You

64:32

don't if you say thou shalt, you're

64:33

going to fail because the company shall,

64:36

>> right? And the approach that we first

64:38

took was that we will actually get the

64:42

value system. We had we had a vote for

64:45

all the employees in the company. What

64:46

values do you think should be part of

64:48

the new Uber, etc. We took all the

64:50

signal and then we edited it and came up

64:52

with a new list of of values. And there

64:55

was one value that I wrote myself. It

64:59

was mine and it was do the right thing.

65:03

Period. It wasn't crowdsourced. It was

65:06

just that. And and usually with these

65:08

values, you're like there's a whole

65:09

explanation and people are like, "Well,

65:11

what does do the right thing period

65:13

mean?" like you have to figure it out.

65:17

And for me, it it was a message to the

65:20

whole company, which was if you work at

65:23

Uber, you have a responsibility and I'm

65:26

not going to tell you exactly what to

65:27

do. So, use your judgment. And it's our

65:29

expectation that you use your judgment

65:31

to do the right thing. And sometimes

65:32

doing the right thing, it's not clear.

65:34

Should I go after my business goal?

65:35

Should I compromise on a business goal?

65:38

Because safety is in question. Of

65:39

course, you should. Safety comes first

65:40

before business, etc. But we were

65:43

putting that weight and that

65:44

responsibility in uh within the

65:46

employees. But the rest of the value

65:49

system that was kind of crowdsourced, it

65:52

was forgettable because it was the kind

65:54

of stuff that you passion, ambition,

65:56

teamwork, like what company doesn't

65:59

believe in teamwork? Give me a break. So

66:02

we uh Nikki uh Krishna Murphy who runs

66:05

uh people she pushed me to reset the

66:10

values four or five years in by then I

66:13

felt like I did have a right to have a

66:15

point of view I'd been there we weren't

66:18

quite done with the turnaround etc but I

66:20

was a part of the company and then we

66:22

came up with a value set which is

66:24

different you know there's uh our one of

66:27

our values by the way go get it was the

66:29

only one that survived

66:30

No, no, sorry. Uh, do the right thing

66:32

was the only one that survived. But for

66:34

example, go get it is one of our top

66:36

values. And the idea of go get it is

66:38

obviously it's literally what we do. We

66:40

go we help people go or get it, right?

66:44

Rise and eats. So it's kind of fun in

66:46

terms of what we do, but it's an

66:48

attitude which is we as a company, we're

66:52

go-getters. We're going to be

66:53

aggressive. We're going to push. We're

66:55

going to move fast. We play to win. And

66:58

so the value sets that we have, go get

67:00

it or one that I really like, great

67:03

minds don't think alike. We came up with

67:06

a with a set of values which I think is

67:08

unusual and describes how we are

67:10

different as a company and it's really

67:12

true to who we are.

67:13

>> How important is um this sort of this

67:15

attitude of failure and experimentation

67:17

especially in a world that's

67:18

transitioning as fast as the one we're

67:20

in. When you listen to people like Ray

67:21

Kurswell his predictions of the future

67:23

he says that if you're 10 now by the age

67:24

of 60 you'll experience a year's change

67:27

in I think it's 11 days and just this

67:28

sort of this sort of exponential

67:31

acceleration

67:31

>> the law of accelerating returns.

67:33

>> Yeah. Like how do you how do you you

67:34

know how do you create a culture or

67:36

build a team in a world where the

67:37

correct answer is changing this quickly?

67:40

I I think that it is um setting a

67:44

culture that does embrace that change

67:47

and is constantly challenging itself.

67:49

And I will give uh Travis and the

67:53

founding team credit. You know that

67:54

there's kind of this

67:57

idea of everything that they did was

67:58

terrible and that's just not true. We

68:00

have a very high talent bar at the

68:03

company. We have always kept a high

68:05

talent bar at the company and we haven't

68:06

compromised. And what I found is that

68:09

talented people who are also driven are

68:13

on a constant hunt for the truth. So

68:17

culture isn't enough. You actually need

68:19

the right people at the company. And I

68:21

think we've got a company that does have

68:23

a chip on a shoulder

68:25

was born out of the creation of a new

68:28

industry. So we've experienced it. Um,

68:32

and we have a group of people who are

68:34

driven and hungry

68:37

and are constantly looking for change

68:41

and you got a leader and a leadership

68:43

team that's pushing the company to do so

68:45

and doesn't penalize

68:48

folks for challenging them. I think it's

68:50

kind of this stew that you have to put

68:51

together, but it's a combination of

68:54

culture and people. Do you have any

68:55

mental case studies of great bets the

68:58

company has taken that most people

69:00

wouldn't have taken or thought was wrong

69:02

or wouldn't have taken the risk on that

69:03

trans transpired to be critical to your

69:05

success?

69:06

>> Well, you know, I don't know about um

69:09

well, I think it will be critical to to

69:11

the success, but there's a funny one

69:12

which is

69:15

taxis

69:16

are one of the fastest growing parts of

69:19

Uber's business. So you remember Uber,

69:21

we started as the enemy of taxis

69:24

>> and built out this peer-to-peer ride

69:26

sharing. And it's probably five or six

69:30

years ago, our head of product now,

69:32

Sachin, he worked on building kind of um

69:36

a technology that would allow taxi

69:38

companies to to have their own little

69:40

Uber app. And eventually he came to

69:42

Uber, thank God, and he's like, well,

69:44

why don't we build that in Uber? Why

69:46

don't we actually build taxis on Uber?

69:49

And originally within the company and

69:51

and I I kept in touch with some of the

69:53

founders just cuz I want their advice

69:55

cuz why not? You know, they they built a

69:57

great company. I'm standing on the

69:59

shoulders of giants. Uh they said it's

70:02

the most idiotic thing on earth that you

70:04

can't wire up taxis. They hate us. They

70:06

set rates will be terrible. Lots of

70:07

technical reasons. They had tried it

70:09

earlier. It was a total failure. But I

70:12

think Sachin

70:14

uh having worked in the industry and

70:17

then my being kind of ignorant saying

70:19

why the hell not try it that combination

70:20

allowed us to build out a taxi product

70:23

and taxi is the fastest growing segment

70:24

of the company and it went completely

70:26

against the founding of the company. But

70:28

now we're you know I I hope to have

70:31

every single taxi in the world wired up

70:32

to Uber. Why not?

70:35

>> For the first 10 years that I was a

70:36

founder I didn't prioritize getting a

70:38

good night's sleep at all. But over

70:39

time, I started to realize that it was

70:41

the key metric that influenced

70:42

everything in my life. My mood, my

70:43

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70:45

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73:54

And there's another um there's an alien

73:56

that's arrived amongst us um which is

73:58

AI. And you've you know Uber's always

74:00

been somewhat powered from what I

74:01

understand by very much so degree but um

74:04

the world has changed in the last couple

74:05

years as it relates to AI. There's been

74:07

a huge acceleration in investment and

74:09

improvement of the technology. What do

74:10

you

74:12

aside from Uber?

74:15

>> You talked earlier about your early

74:16

childhood and how you know you grew up

74:18

with a bit of a paranoia about losing

74:20

everything because that's what you

74:21

experienced as a young man.

74:23

>> You see this technology arrive which is

74:24

fundamentally disruptive to all of us

74:26

including me as a podcaster. Yeah,

74:27

>> I've done the tests and the retention

74:29

isn't the retention isn't far off when

74:31

it's me or AI. So, it's slightly

74:33

concerning, but like how do you how do

74:35

you approach such a disruptive

74:36

technology? Um, how do you think of it

74:39

broadly and the impact it's going to

74:40

have on society? And are you paranoid?

74:43

>> I'm not paranoid. I'm not I guess I was

74:46

going to say I'm not built that way, but

74:48

maybe I am. I I think my instinct is

74:50

always just to go just to move forward.

74:52

And Uber has been built out of an AI

74:55

core. all of our pricing, all of our

74:57

routing, who you're matched with, uh

75:00

whether or not a courier batches a trip,

75:03

which is do they take two orders or one

75:05

order. All of our systems, underlying

75:07

systems are are driven by AI. We do 40

75:10

million trips a day. You know, that kind

75:12

of orchestration can't be done by uh

75:16

heristic rules and we've got to work on

75:18

the streets of New York and the streets

75:20

of Logos as well. So the the we we have

75:24

built the entire company on small AI

75:28

models that have been trained on local

75:30

problems and then get stitched together.

75:32

That's literally what the company is. So

75:34

for us AI is it's kind of a core skill

75:36

set and and AI can it can mess things

75:39

up, right? It it's not because it's not

75:41

heruristics based. There are emergent

75:45

issues that come out of an AI that works

75:49

96% of the time and 4% of the time it

75:51

screws up. So we're comfortable with the

75:54

uncertainty layer of AI as a company. So

75:57

we are I would say moving headlong into

76:00

AI. We're not one of the, you know,

76:03

research shops, but I would say in terms

76:04

of applied AI, the team is driving to

76:09

build AI kind of newer AI experiences

76:12

across the company.

76:14

But, you know, stepping back as a as a

76:16

person, the impact on society is going

76:19

to be enormous. And going back to

76:22

Kurszswwell's kind of law of

76:24

accelerating returns,

76:26

whereas previously society has always

76:29

been able to adjust to these kinds of

76:31

shifts. Um, it's been able to adjust

76:34

because it had time to adjust. And AI

76:39

literally quite literally thinks and AI

76:42

will be able to replace the work that

76:47

70 80% of humans can do over the next 10

76:50

years. 10 years is not a lot of time for

76:53

society to adjust to that kind of an

76:55

impact. Now are they going to be more

76:57

expensive than humans, cheaper than

76:58

humans, etc. Who knows? But the

77:00

capability will be there probably in the

77:02

next 10 years for intellectual jobs

77:04

probably call it 15 years for physical

77:07

15 20 years for physical jobs because

77:10

physical AI

77:11

>> is harder you know robots cars etc more

77:16

capital heavy takes longer have to deal

77:18

with the physical world so the the

77:21

changes in society are going to be giant

77:24

but my view is you can't slow down the

77:29

rate of change.

77:31

And if you're a part of that change, at

77:34

least you can have some say as to how

77:38

that change imprints on society and

77:40

imprints on the real world. And so for

77:42

me, I'm leaning in. It's a it's a very

77:45

very exciting time.

77:47

>> 70 to 80% of jobs will be uh disrupted

77:50

by AI is like broadly what you said

77:52

there. And the pace of change is going

77:54

to mean that a lot of people don't have

77:56

new jobs to go to because we haven't

77:58

>> I think that's the question

77:59

>> the retraining challenge and people say

78:01

well there's going to be jobs in AI but

78:02

like listen I got some friends that

78:04

can't just

78:06

>> society's always adjusted right farming

78:08

was a huge percentage of our labor force

78:11

now it's less than 1%

78:12

>> but the speed of

78:13

>> yeah that I I think that's a question

78:14

and you could argue that AIs will be

78:16

able to retrain you right the job

78:18

retraining is going to change so of

78:20

course societyy's going to adjust

78:22

>> but I I do think it raises questions,

78:24

real questions.

78:25

>> I've I've not been able to get an answer

78:26

on that really, I think, from the

78:28

experts in AI that I've interviewed,

78:29

which is like what do those 70 or 80

78:31

people% of people do? Because we're

78:32

seeing in our own business that there's

78:34

many jobs which we would have hired for

78:35

previously.

78:36

>> Yeah.

78:36

>> Um across the board that AI is now doing

78:39

exceptionally well. And every single

78:40

day, literally daily, we try to see if

78:43

the new model, Gemini Pro 3 or whatever,

78:45

can do things that we're currently doing

78:47

manually. And every day we're getting

78:48

those little breakthroughs and going,

78:49

"Oh, okay. Now we no longer need to."

78:51

And coding is one of those big areas you

78:53

talk about a lot where there's been

78:54

already sort of big dis disruption

78:57

positive disruption at Uber and a lot of

78:59

your coders are now using AI to

79:01

>> yeah about 90% of our coders are using

79:03

AI now that's easy to say but but there

79:06

are probably 30% of them that were power

79:09

users they are showing a clear

79:12

um differentiation in the number of

79:14

diffs for example how much a diff is a

79:17

code release that's different from the

79:19

last code release. So one of the

79:20

measurements of productivity is just how

79:23

many diffs are you putting to the

79:24

codebase. Uber's just a giant codebase.

79:26

That's what we are. And so our engineers

79:28

are literally the builders of the

79:30

company. They are manufacturing the

79:32

bricks that go into the system. Uh and

79:34

they're architects who are kind of

79:36

thinking about what the system should

79:37

should look like. Uh, and so while 90%

79:41

of our engineers are using

79:44

AI tools of some sort, there's about 30%

79:47

of them that are using them at a

79:49

completely accelerated pace. And it

79:52

really is changing their productivity in

79:55

a way that I've never ever seen before.

79:57

Ultimately, I do think that the

80:01

job of a coder is going to change more

80:03

and more from actually writing the code

80:06

from to some extent orchestrating agents

80:09

who are writing the code or building

80:13

systems for you. It becomes more of an

80:14

orchestration job versus a manual

80:17

writing job. But the job will still be

80:20

there. And my attitude is if my average

80:23

engineer became 25 25% more efficient,

80:26

which we haven't gone there yet, but we

80:28

will get there. I'm gonna hire more

80:30

engineers because I want to go faster.

80:31

That there's still lots of unsolved

80:34

problems that we haven't solved. But I

80:36

can imagine, you know, maybe 5 years

80:37

from now as the engineers get more and

80:40

more productive, I may not decide to add

80:42

engineering headcount because at that

80:44

point instead of adding an engineer, I

80:46

should add agents and buy some more GPUs

80:48

from Nvidia. That may be the investment

80:50

in the future. We'll see

80:51

>> because thinking about linear versus

80:53

exponential as well. If we imagine a

80:54

rate of improvement, I don't know, in my

80:56

head I go, well, won't there come a time

80:58

where you as the CEO or you and a team,

81:01

an executive team can tell an agent what

81:03

you want to build? You can show it the

81:05

strategy and theoretically, I mean, I

81:07

can't figure out how this isn't going to

81:08

be possible. The agents will then build

81:11

and actually maybe they don't even need

81:13

you to set the strategy. Maybe

81:16

but theoretically, you know, if they if

81:17

you imagine any rate of improvement in

81:19

the intelligence, maybe at some point

81:20

they're going to go, "Well, listen, we

81:21

there's a better strategy here." DAR

81:22

>> what one of my uh uh one of my team

81:26

members told me that some teams have

81:28

built a DAR AI you know so so that they

81:32

basically make the presentation to the

81:34

DAR AI as a prep for making a

81:38

presentation to me because you can

81:39

imagine like you know by the time

81:41

something comes to me there's been a

81:42

prep and a meeting and the and the slide

81:45

deck has been beautifully honed so they

81:46

have DAR AI to tune their prep. Are you

81:49

concerned they might show DAR AI to the

81:51

board?

81:53

>> I was like I was like can I see the code

81:55

for DAR AI? I'm curious. She's like no

81:57

we're not showing it to you.

82:00

>> But is there anything like falsifiable

82:01

in what I just said about that there

82:03

coming a time in the not so near future

82:05

if we imagine exponential improvement

82:07

where

82:08

>> I think I think where AI

82:11

still is missing a beat that humans and

82:13

other creatures have is ability to learn

82:16

real time. Right? So if if you think

82:18

about you and I are learning for this

82:20

conversation and maybe your behavior is

82:23

going to change by 0.1% because of

82:25

actually what you learn here and the

82:27

construct of most large AI models is

82:32

capture enorm enormous amounts of data

82:34

based on the skill set that you're

82:35

trying to drive train pre-train that

82:39

model put it into the real world and

82:42

then there's some post-training of the

82:43

of the model based on feedback from from

82:45

the world and then when the model's is

82:47

released. It's kind of released, right?

82:50

And the way the model learns is, you

82:52

know, 35 becomes 38, but 35 didn't

82:56

learn. The engineers went out and built,

82:59

you know, built a new model that's 38

83:01

that might have elements of 35 to it,

83:04

etc. So, the the AI agents aren't

83:08

learning now. Now a lot of what we're

83:10

doing is we're building around the

83:12

foundation models that then bring kind

83:15

of the signals from the real world and

83:16

use the skills that the foundation

83:18

models have to do good stuff. So you can

83:22

>> post- training I'm posting

83:23

>> Exactly. So well so we are post-training

83:27

but we're learning real time as human

83:30

beings and when the models can learn

83:34

real time

83:35

>> that I think is the point at which I'm

83:38

going to kind of think yeah we are all

83:41

replaceable but at this point I haven't

83:43

seen a model that can learn real time.

83:45

One of the real areas of disruption in

83:46

AI has been autonomous vehicles. And I

83:48

was just before we started recording, I

83:49

was saying that uh I have a Tesla in LA

83:51

where I live.

83:52

>> And it's staggering that I can get in

83:55

the car,

83:56

>> press a button, and drive two and a half

83:58

hours to Joshua Tree without having to

83:59

touch the wheel or the the pedals.

84:01

>> Now driving, I think, is one of the

84:03

biggest employees in the world. Like as

84:05

a profession,

84:05

>> I mean, we've got nine and a half

84:07

million drivers and couriers on our

84:09

platform. We are the

84:11

largest organizer of flexible work

84:13

around the world. and they I I think the

84:15

second largest um workforce is a Chinese

84:17

army.

84:18

>> Wow.

84:19

>> Yeah. It's a big group of folks that

84:21

we've organized

84:22

>> and statistically there's less accidents

84:25

in an autonomous Tesla than there is if

84:27

a human drives it. So it's safer for my

84:29

car to drive itself statistically than

84:31

for me to drive it. That's true, right?

84:33

That the autonomous driving is currently

84:34

safer.

84:35

>> That's true. So Whimos are safer. And

84:37

then now you are a backup to the Tesla,

84:40

right, as a human being. So I've I've

84:42

got a Tesla as well. And once in a while

84:44

it disengages and I've got to or I've

84:46

got to disengage. So

84:49

it it's not necessarily the pure

84:52

autonomous agent that's better than

84:53

humans, but definitely the autonomous

84:56

agent with a human backup. No question

84:58

that's better than the pure human.

85:00

>> And we can't be far away from it just

85:01

being

85:02

>> I mean Whimo's there already, right? Uh

85:04

you you live in LA. Uh they've got the

85:07

Whimos. We work with them in Austin uh

85:09

in Atlanta. And by all accounts, Whimo

85:12

drivers are safer than human beings. And

85:14

that's going to be true of AV all over

85:16

the world. You know, there are million

85:19

deaths uh from driving every year in the

85:23

world. In the US, it's between 35,000

85:26

and 40,000 uh auto fatalities. So to the

85:30

extent that these these autonomous

85:32

agents and drivers can be better than

85:34

humans and they will be better than

85:36

humans over a period of time uh there's

85:38

a real return on human life as a result

85:41

of this

85:42

>> those 9 million drivers careers that you

85:44

have will be out of work conceivably in

85:47

the you know talking about being honest

85:49

about the situation. Yeah, I think again

85:51

it goes to physical AI as well, right?

85:53

So I think 20 years from now, you can

85:56

imagine that those 9 million will be

86:00

20 million uh AVs maybe, but we have

86:03

time between now and then partially

86:05

because we don't operate in the virtual

86:07

world, right? We operate in the physical

86:09

world. You have to get the regulations

86:10

up. You have to build the cars, you have

86:12

to build the sensor stacks, the the

86:14

models have to get there. So there is

86:16

time between now and then, but you can

86:18

imagine the majority of our trips being

86:22

fulfilled by robots of some kind.

86:25

Probably not 10 years from now, but you

86:28

go 15, 20 years from now, you're going

86:30

to start getting there.

86:32

>> What do the 9 million people do?

86:35

>> I don't know. Now we are expanding the

86:39

kind of work that's available on on on

86:41

the platform partially as a result of

86:43

it. Right? We used to be the only work

86:45

is driving. Now there's delivering. You

86:48

can have shoppers as well. I think it'll

86:49

be a little while at least before you

86:51

get AI shoppers. And now actually we

86:54

have a team called Uber AI solutions

86:57

that uh allows people to train these

87:00

same agents and train uh AI agents and

87:04

AI models uh and do all kinds of

87:06

knowledgebased work on their phone as

87:09

well to kind of extend the kind of work

87:12

that we offer uh humans on our platform

87:15

and different opportunities for for them

87:17

to to make money. So we are extending

87:19

the platform and then the question is

87:21

how much of the platform gets automated

87:23

and what's the velocity at which we can

87:25

extend our platform into other kinds of

87:27

work versus the velocity of automation.

87:29

I can't tell you which is going to go

87:30

faster.

87:31

>> Hands on heart though it does appear

87:33

that unemployment is going to be

87:35

significantly increased in a world of AI

87:37

especially we just imagine this sort of

87:39

continual rate of improvement. I just

87:41

can't

87:41

>> you you you would have to I unless again

87:45

historically in societies new kinds of

87:48

jobs have come up

87:49

>> knowledge jobs physical jobs and now

87:51

we've disrupted both

87:53

>> that's why there's a question here and I

87:56

do think there's a real question as to

87:57

the ability of societies to retrain the

87:59

abilities of human beings to retrain

88:02

themselves AI is going to be a part of

88:04

that but the timing there how fast is it

88:07

going to go it's a real question mark I

88:09

I think you're absolutely I don't think

88:11

it's going to be a big issue

88:13

big issue uh in the next 5 years, but

88:16

when you go 5 plus years, it's going to

88:18

become more of a more more of an issue

88:20

for society at large.

88:21

>> It's interesting because I was thinking

88:23

putting two and two together about your

88:24

your your father's journey of coming to

88:26

the US, losing what he had, losing his

88:28

job, and the the loss of like meaning

88:29

and purpose being really central to him.

88:31

And I could see that basically from your

88:33

face that I think what I interpreted

88:36

from your face was that he struggled

88:37

with as any provider would the loss of

88:41

like meaning that comes with because

88:42

jobs aren't just about money that it's

88:44

especially you know

88:45

>> they give you a sense of worth. It's

88:48

funny. I I I read um I read a study many

88:50

years ago that said when they looked at

88:52

suicide letters specifically from men, I

88:55

think it was an Australian study in the

88:57

suicide letters that the the sentiment

89:00

was about not feeling

89:03

worth

89:04

>> Yes.

89:04

>> to your family.

89:05

>> Yeah.

89:06

>> And the extreme of that was I think my

89:07

family would actually now be better off

89:09

without me.

89:10

>> Interesting. And um and this kind of you

89:12

know I think is probably adjacent to

89:15

this conversation around job

89:16

displacement which is where are we going

89:18

to find our meaning in a world where

89:22

the machines have now disrupted our

89:23

intelligence and our muscles.

89:26

>> It's every universal income basic income

89:30

test has failed. You know the answer

89:32

that you hear from folks is well the

89:34

robots are going to do all the work.

89:36

they're going to create um utility and

89:39

so our work won't have to create utility

89:42

so people will just have money but it

89:45

goes to exactly what you're saying which

89:46

is every single test they've done now

89:48

it's not 20 but they've done a couple

89:50

tests where certain section of the

89:52

population similar population gets

89:53

income certain section doesn't and every

89:56

time the ones who are getting income do

89:59

worse in terms of outcomes because well

90:03

we don't know the because I The because

90:06

is related to what you're saying which

90:07

is

90:11

market forces kind of that force someone

90:15

to work then create

90:17

a perception of self-v valueue

90:19

succeeding you know most people succeed

90:22

if they're driven to succeed they will

90:23

succeed and as they succeed it comes

90:25

with a very very deep and important

90:29

feeling of I am creating value I'm

90:32

supporting my family I'm uh building

90:34

this incredible piece of art, etc.

90:36

Whatever that value is to you, and

90:38

wherever that meaning comes from, I'm an

90:40

incredible parent. That value is what

90:43

keeps people going. Uh, and I don't

90:46

think that, you know, the government

90:49

raining money down on society is going

90:51

to help.

90:52

>> It's refreshing to hear your perspective

90:53

on this because a lot of the time, you

90:55

know, you'll hear CEOs in the media just

90:57

saying, "It'll be fine. Everyone's going

90:59

to figure it out." And I think that's

91:00

>> historically we have figured it out. So

91:02

maybe they're right. But but you have to

91:04

ask whether they're giving you the real

91:06

stuff or not.

91:07

>> Yeah. And that's kind of what I that's

91:08

what I I think because I sometimes hear

91:10

about private conversations and the

91:11

private conversations I hear about the

91:12

sheer amount of disruption that they

91:13

anticipate and then when I see them on

91:15

like CNBC or Davos, it's be fine and

91:17

figure it out. And I understand the

91:18

incentive because if they were to start

91:20

ringing the bell, it might hurt their

91:23

own chance of like innovating and

91:24

fundraising and all those things. But I

91:26

think you sit at this sort of happy

91:27

medium of being Yeah. as the CEO of

91:29

Uber, you've got to you've got to pursue

91:31

the opportunity in the technology. But

91:33

on the other hand, to be honest and say,

91:34

listen, there's going to be big

91:36

disruption and we I don't know the

91:38

answers.

91:38

>> I remember you were talking about CNBC,

91:40

a CNBC anchor once we had an interview

91:42

and afterwards she said, uh, you know, I

91:45

really like you.

91:46

>> You actually answer my questions. And

91:48

I'm thinking to myself,

91:50

what am I not supposed to? There there's

91:52

like the the PR trading is always if you

91:55

get a bad question, don't answer the

91:57

question. just pivot to something else.

91:59

And for me, like I've I've sworn to

92:01

myself, uh, and Noah, who's who's up

92:04

there, is probably going to kill me

92:05

afterwards. It's just I'm going to

92:07

answer the question. I'm not going to do

92:08

the BS. And again, I have to think the

92:12

anchor knows what's happening. The

92:15

audience knows what what's happening.

92:17

So, I'm like, I'll answer the question.

92:18

If it's a shitty question, I'll deal

92:19

with it.

92:20

>> I actually don't like interviewing CEOs,

92:21

which is funny because the name of the

92:22

podcast because active

92:23

>> how did how did the the Cuz I I looked

92:26

before I came on. And I'm like, I'm

92:28

going to look up on uh uh yeah, the

92:30

CEOs. And there aren't that many CEOs.

92:33

>> Well, if I looked at your diary, what

92:35

would I find inside your diary? I would

92:37

probably find you contending with being

92:38

a father, your psychology. I might find

92:40

some things in there about your health.

92:41

I can see you're a guy that goes to the

92:43

gym.

92:43

>> Yeah.

92:43

>> Um and I think it's all interlin. I

92:45

think for you to be an exceptional CEO,

92:47

you probably think a lot about your

92:49

past, your childhood, your health, your

92:51

how to optimize and all these things.

92:53

And so honestly, you can't do a podcast

92:55

like this for 20 years

92:58

>> and just hit the same thing every day.

93:00

>> You need to be I need to be

93:01

intellectually stimulated.

93:02

>> And you and me are both multifaceted

93:04

creatures, I guess. So that's why it's

93:06

evolved

93:07

>> until we become AIs.

93:08

>> Until we become AIs. Yeah. Just closing

93:12

off on that then, um, what can we do

93:15

about this from an AI AV perspective? Is

93:18

it the government's responsibility? Is

93:20

it collective action?

93:22

So one is I do think that we don't talk

93:25

enough in that for example with

93:26

autonomous AI can be a force for good

93:29

right it's these drivers are going to be

93:30

safer than human beings and those we can

93:33

take the 35,000 fatalities to 3,000

93:36

fatalities etc. I do think that the AI's

93:40

the AV is going to bring down the price

93:42

of transportation. So a a big part of

93:46

our goal is to make ondemand

93:48

transportation available for everybody.

93:50

One of the folks that I was talking to

93:52

was talking about how Uber has changed

93:54

her mother's life. Like her mom can get

93:56

around and it just wouldn't get around

93:58

without it, right? We want more moms

94:00

like that. So, I do think it's important

94:02

to recognize that if transport

94:05

fundamental transportation becomes

94:06

safer, it becomes cheaper. Going back to

94:09

Jean's paradox, that's a good thing for

94:11

society, right?

94:14

I don't think that the answer as it

94:17

relates to society is to try to slow

94:20

down the pace of change because

94:23

China won't for example if we're uh

94:26

talking about the west. So I think you

94:28

just have to lean into it. I think that

94:31

discussions like this are important. I

94:32

think you look for technology leaders

94:34

who are talking about it. Daario, for

94:37

example, Anthropic is talking uh about

94:39

it, pissing some people off, but I think

94:41

he's having good discussions there. And

94:43

then I do think that

94:46

the the society arming up to be able to

94:49

retrain

94:51

large groups of people at scale is not a

94:55

skill. I don't see people investing that

94:58

and I don't see that as a core

94:59

capability of any of our countries etc.

95:02

There's one thing I can come up with, it

95:04

will be that is the retraining machine.

95:06

>> You've got f four kids.

95:08

>> Yes.

95:09

>> They come to you, they say, "Dad,

95:10

listen. AI, robotics, give me some

95:12

advice for my future. What should I be

95:14

doing?"

95:14

>> Work hard. You're going to be fine. Work

95:17

hard. It's it's just that's I mean, now

95:21

the AI theoretically can can work harder

95:23

than you, but I I find

95:26

one of the pieces of advice I give to

95:28

young people is don't plan. Okay. I wind

95:31

up, we went through a history. I wound

95:33

up where I am today having not planned a

95:37

thing. I didn't when I was an investment

95:39

banker. I wasn't dreaming of becoming

95:40

CEO, etc. And and what I find is that

95:43

people who have too much of a career

95:45

plan, who have too much clarity about

95:47

what they're doing, they they lose their

95:49

curiosity. And and human beings look for

95:54

positive signal, right? you whether you

95:56

like it or not. Anytime someone agrees

95:59

with you makes you feel a little bit

96:01

better, anytime you get signal that goes

96:03

against your preconceived notions,

96:06

either you ignore it or you're like,

96:08

"All right, [ __ ] I'm going to I'm going

96:09

to take this on." It's unpleasant. And

96:12

so with with career planning, what I

96:15

find is people who have too clear uh

96:17

career plan, they're looking for signals

96:20

that feed into their career plan. I'm

96:21

going to be a vice president by this

96:22

much. I'm going to make X money by this

96:24

much. and they're not looking around,

96:26

they're not being curious. They're not

96:27

looking for signal that can change, you

96:30

know, their life. And and and so what I

96:32

tell some folks is like before you go

96:34

out and try to change a world, let the

96:36

world change you first. You know, take

96:39

input. And if you're like this, you got

96:44

blinders cuz I'm going here. You're not

96:46

going to take input. You're not going to

96:47

let you're not going to take all the

96:50

stimulus coming in from the world.

96:51

though it's, you know, the one constant

96:54

I see is people who are good are good.

96:57

People who are good. I've never seen a

96:58

successful person in in a job or a

97:01

career get there without

97:04

working hard. And my guess is, I don't

97:06

know about you, you kind of wound up

97:08

where you're wound up kind of by

97:10

accident.

97:12

>> And people are like, well, you got

97:13

lucky. I got very lucky to be here. like

97:17

I had so many kind of

97:20

moments and and some would say I took

97:23

advantage of that l of of that luck but

97:25

to some extent I was able to take

97:27

advantage of that luck because I was

97:28

open being open. You jumped from Expedia

97:31

to Uber. Um in part helped by some

97:35

advice that our mutual friend Daniel E

97:37

the founder of Spotify gave you.

97:38

>> He's actually just text me. I text him

97:40

saying hey can you uh can you send me a

97:41

question to ask Dario but he said I'm in

97:43

the middle of now texting while we're

97:44

talking. Damn it. No, just before I

97:45

walked in, I've just looked. He texted

97:46

me back saying he's on an earnings call.

97:50

Never mind. But um he said, "Good luck

97:52

with the interview." Um what did Daniel

97:54

X say to you that helped to form that

97:56

decision to go to Uber?

97:57

>> So he's the one who recommended I think

97:59

I was I was uh contacted by head hunter.

98:02

He recommended me to the head hunter who

98:05

called me. Uh I told him I was actually

98:07

at the Allen and Company conference

98:08

going back in a a circle with him and we

98:11

were having a drink one night and he

98:12

asked me, he's like, "Did the head

98:13

hunter call you?" there's this Uber roll

98:15

and at the at the time Uber was a

98:17

disaster like disaster and everyone was

98:20

reading about it. I was at Expedia. I

98:23

had just gotten this wonderful contract

98:25

that you said at the beginning. So I was

98:27

I was going to stay and I love working

98:28

for Barry. We're like it it it's been

98:31

it's been the best professional

98:33

partnership of of my life. And I said of

98:36

course I'm not going to go. You know I'm

98:38

so happy about what I'm doing at

98:39

Expedia. And Daniel like looks at me.

98:42

He's got his like cold Scandinavian

98:45

eyes. He's like, "Dra, since when is

98:48

life about being happy? It's about

98:50

making impact. Uber is a great company

98:54

and you can have an impact on that

98:56

company. You've got to do this." So the

99:00

next day I had called the head hunter

99:03

previously. I said, "No, no, I'm not

99:05

interested." The next day I called the

99:06

head hunter and I said, "Let's talk." So

99:08

Daniel was the one who opened me up. And

99:11

your dad, he gave you advice.

99:13

>> Well, I talked to my dad and uh his my

99:17

dad is keeps things simple and he said,

99:20

"Do you as far as he when a company

99:24

who's a verb tells you to run it, you

99:28

just say yes." So, I thought that was

99:30

good uh good advice. And and ultimately

99:33

I think people who

99:37

come to Uber stay at Uber. They come

99:40

because of the challenge but they stay

99:42

because of the impact. Like we are

99:44

building a company that is important to

99:47

the world and for me I could come and I

99:49

could have an I could have impact on

99:51

impactful company. So why the hell not?

99:53

And when he says a company that's a

99:55

verb, he's referring to the fact that

99:56

everybody in the the taxiing or

99:58

transportation category uses Uber as a

100:01

verb to even if they're talking about a

100:03

competitor.

100:04

>> Exactly. Right.

100:04

>> Um and there's always one company in

100:06

every sort of industry that owns them.

100:09

>> We have a closing tradition here where

100:10

the last guest leaves a question for the

100:11

next guest not knowing who they're

100:12

leaving it for. And the question left

100:14

for you is, what is one conversation

100:16

that if you could rewind time and have

100:19

you would have today but can no longer

100:21

have?

100:24

It was a conversation with with my dad.

100:27

Um,

100:29

you know, I told you I came to New York

100:31

from San Francisco and uh it was because

100:34

my dad was getting very old and he was

100:37

losing his mental facilities.

100:39

>> And I'm glad I came back and I got to

100:42

spend time with him. But those last

100:44

times, you know, when I spent time with

100:45

him, it wasn't really him. And I wish I

100:49

could talk to him about his experiences,

100:52

his younger life, the excitement of

100:55

building something and then the loss and

100:57

regrets he had in in life as well. I

100:59

never had, you know, my relationship

101:01

with him was kind of was there was love.

101:05

No question about love, but we didn't

101:08

have the deep kind of conversations that

101:10

certainly I'm hoping I get to have with

101:12

my kids. So, that's a conversation I'd

101:14

love to have. And you can't get time

101:16

back. Uh, and that's one of the

101:18

tragedies of life, but it's also one of

101:20

the beauties of life, you know, which is

101:22

there are some mistakes that you make

101:23

that are permanent. Um, and you can't

101:26

get that back. But my then making

101:30

genuine conversations with you and

101:32

connections with my friends and having a

101:36

real relationship not just with my wife

101:38

and my kids, but actually like with my

101:41

workmates. you know, we

101:44

having those genuine conversations and

101:46

connections

101:48

um is my way of correcting for the

101:51

conversation I never had with my dad.

101:57

>> Dra, thank you.

101:58

>> Thank you very much. I appreciate it.

101:59

You're a huge inspiration for me in so

102:01

many ways and even more so now having

102:03

done so much research on you in

102:04

preparation for this conversation

102:05

because it is it is rare to find a

102:08

leader who has been consistently

102:09

successful across different domains

102:10

who's built this really really in my

102:12

opinion quite rare skill stack from

102:14

investing to CFO to then being able to

102:15

transition to CEO and then has

102:18

repeatedly contended with moments of

102:19

transition and given us all frameworks

102:22

as founders and entrepreneurs for how to

102:23

deal with that transition. One of the

102:24

great ones I take away from you is is

102:27

honesty. Yeah, honesty is so powerful.

102:29

And I'll tell you, I learned I learned

102:31

that skill from my wife. She's just she

102:34

she's always like people are people.

102:36

Doesn't matter. You know, they eat, they

102:38

crab, they have to go to sleep. And she

102:40

treats everybody in her life the same

102:43

way regardless of their position. And

102:45

and uh

102:46

>> like your dad did.

102:46

>> Uh yeah. Yeah. And she's she's honestly

102:51

it's just so powerful.

102:54

>> Thank you so much.

102:55

>> You're very welcome.

102:55

>> An unbelievable inspiration. Thank you.

102:57

I appreciate it.

102:59

>> YouTube have this new crazy algorithm

103:00

where they know exactly what video you

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love

Interactive Summary

Dara Khosrowshahi, CEO of Uber, shares his philosophy on relentless hard work, transparency, and continuous improvement, deeply influenced by his early life experiences during the Islamic Revolution in Iran where his family lost everything, fostering a drive to build and never take anything for granted. He discusses his journey from investment banking to successfully leading Expedia and then transforming Uber into a highly profitable company. Khosrowshahi emphasizes the importance of learning to work hard as the most critical skill in life and leadership, alongside the need for direct and honest communication within an organization. He also offers a candid perspective on the societal impact of AI, particularly regarding job displacement and the challenge of retraining, advocating for leaning into change rather than slowing it down. His advice for young people stresses curiosity and openness to the world, rather than rigid career planning.

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