HomeVideos

Jensen Huang Exposed: The Untold Rise of NVIDIA's $3 Trillion Gambler (Earnings Tomorrow)

Now Playing

Jensen Huang Exposed: The Untold Rise of NVIDIA's $3 Trillion Gambler (Earnings Tomorrow)

Transcript

622 segments

0:00

Jensen Hang has worn the same leather

0:02

jacket for 30 years. Might give the

0:05

impression that he's laidback, just a

0:08

normal dude, but he said publicly it's a

0:10

brand decision. That tells you

0:11

everything you need to know about the

0:13

guy. Nothing Jensen does is accidental.

0:17

[music]

0:21

Before Nvidia, Jensen was a middling

0:24

engineer at a few companies that you've

0:27

probably heard of. He wasn't a taste

0:29

maker. He wasn't a titan of industry. He

0:31

was watching the whole thing go by from

0:33

the middle with relatively little power.

0:35

He was born in Taiwan and moved to the

0:37

US at the age of nine. He was raised

0:39

partly in Kentucky, partly in Oregon, so

0:42

he doesn't have one of these coastal

0:44

elite origin stories like most of our

0:47

other tech overlords. He studied

0:49

electrical engineering at Oregon State

0:51

and then Stanford for his masters. Solid

0:54

credentials there. No flags on the play.

0:55

Pretty straightforward. And then he

0:57

worked at AMD and LSI Logic as a

1:00

microprocessor designer. And I want us

1:03

to keep that in mind as we go through

1:06

the rest of his biography here. This is

1:09

a very unique thing about Jensen

1:11

compared to most other people that we

1:12

see in the AI space. If you've watched

1:14

my expose on Sam Alman, Sam Alman, since

1:18

he's been an adult at least, has never

1:20

had a real job. He's never really been

1:23

hands-on keyboard. He wasn't a prolific

1:25

coder. And you see this story repeat

1:28

itself over and over again in our

1:30

industry. And it's always been very

1:31

confusing to me because you essentially

1:33

have people that can talk well,

1:35

understand some business dynamics, and

1:37

can con folks at the helm of these

1:39

massive companies, but they've never

1:41

actually spent time doing the work that

1:43

they expect their workforce to do. It's

1:45

very peculiar. Jensen was actually

1:48

working on microprocessors. So, at a

1:50

fundamental level, he understands and

1:52

has lived the life of the people that

1:55

work for him. His ascent to success

1:57

started very late and it was very rocky.

2:00

He didn't actually found Nvidia until he

2:03

was 30 years old. Now might sound young

2:05

but for reference again contrast with

2:08

Sam Alman who by that point had already

2:10

started to make a name for himself in

2:12

the valley. And he co-founded Nvidia

2:14

with two other dudes Chris Malikowski

2:17

and Curtis Prium. And this was at a

2:20

Denny's in San Jose, which is a great

2:22

California tech origin story. Honestly,

2:24

Nvidia by no means was an instant

2:26

success. It actually nearly died two

2:29

times along the way. And you need to

2:31

understand these failure points to

2:33

understand Jensen's mentality and the

2:35

way that he runs the company at present

2:37

day. This story is full of so many

2:40

flops. It's difficult for me even to

2:43

tell. It makes me uncomfortable as

2:45

somebody who works in tech to even think

2:47

about having a company that is going

2:49

through this. But their first failure

2:51

point is with Sega. They go under

2:53

contract to develop a chip for the Sega

2:55

Saturn, which if you are younger than me

2:58

is a very old gaming console and they

3:01

botch it. They don't make something

3:03

that's up to spec that Sega wants and

3:05

they lose the contract. Sega pulls out.

3:07

This is like a major contract for them.

3:09

Financially, they have at this point

3:12

about a year of runway left that they

3:14

can float and make payroll. And instead

3:16

of continuing to work on that chip that

3:19

they were developing, you know,

3:20

repurpose it, maybe sell it to Nintendo,

3:23

maybe sell it to another gaming console

3:24

manufacturer or even build their own,

3:26

Jensen makes the baffling decision to

3:29

say, "Cancel it. We're not even going to

3:31

work on that anymore. We're going to

3:32

start work on this completely new chip

3:34

called the NV1." And guess what? The NV1

3:37

flopped commercially also. So, there's

3:39

another failure. But they managed to

3:41

just scrimp and save and barely keep the

3:43

company alive through this period until

3:44

they get to the next thing. This brings

3:46

us to a point that anyone who's spent

3:48

time working in Tech in the Valley will

3:50

understand and will tell you. The

3:52

companies that survive are the ones that

3:54

ship something. The companies that

3:56

survive are the ones that ship

3:57

something. Most of the companies that

3:59

fail, and this is an interesting point

4:00

because before I worked in tech, this is

4:02

how I thought, you know, you got to do

4:03

it. You see Apple, you see all of these

4:05

titans perfecting something. They

4:07

release a perfect version of something

4:09

and it's unassailable. It's awesome.

4:12

That's not how it works. That's not how

4:14

it works in real life. The company that

4:16

ships something has a chance at

4:18

surviving. A slim chance. They have a

4:20

slim chance. The company that is working

4:22

on perfecting something before they have

4:24

shipped going to fail. Going to fail 10

4:26

times out of 10. And this is the lesson

4:28

Jensen takes away for his leadership and

4:30

business acumen from this near failure.

4:33

And we know this because he talks about

4:34

it publicly. The second time Nvidia

4:37

comes close to being wiped out is in

4:40

1997. I wonder, are you familiar with

4:43

the graphics card company 3DF? Yeah,

4:46

probably not, unless you grew up very

4:48

nerdy, uh, like myself and are my age or

4:51

older. And I'm about to tell you why.

4:53

It's because of Nvidia. So, 3DFX is like

4:55

the dominant GPU company. They have

4:58

market share. They have products

4:59

bringing in a bunch of cash. They are

5:02

just this paragon of GPU development for

5:05

the era. Nvidia is still not nearly a

5:09

successful company. They're hemorrhaging

5:11

cash. They don't have enough money

5:13

coming in the door. And Jensen decides,

5:16

"Let's drop everything and work on this

5:18

new Revo 128 chip. Let's put all our

5:20

eggs in this basket and just go for it."

5:23

They ship it in just 4 months. And to

5:26

make a long story short, you probably

5:29

don't know the name 3dfx if you're

5:32

watching this, and Nvidia is worth three

5:34

trillion. So, the play worked out for

5:37

them. The thing Jensen doubles down on

5:38

and takes away from that is he's the

5:41

type of businessman that optimizes for

5:43

speed over perfection. If he sees an

5:45

opportunity, he is willing to take the

5:47

bet and drop everything and go after

5:49

that opportunity, even if it seems crazy

5:51

to other people. Then later on in 2006,

5:54

Jensen makes another very risky

5:57

trade-off. He decides to invest a ton of

6:00

money into a technology that has no

6:02

clear payoff, no clear market need, and

6:06

it costs hundreds of millions of dollars

6:09

of the company money to work on. His

6:11

shareholders hated it, and it's the

6:14

reason Nvidia is synonymous with AI

6:16

today. The technology was CUDA, launched

6:19

in 2006. It was a way for engineers to

6:23

be able to directly leverage the compute

6:26

resources on a GPU chip for different

6:28

tasks, not dealing with graphics. This

6:31

may seem obvious today in hindsight, but

6:34

in 2006, if you had a bunch of money

6:36

invested in Nvidia and they're like,

6:38

"Hey, we're going to blow tens of

6:40

millions of dollars on, I don't know,

6:42

letting developers access direct compute

6:45

resources on the GPU. How's that sound?"

6:47

You'd be like, "It sounds bad." Because

6:49

the reason you develop a GPU in 2006 is

6:53

for gaming. It's for 3D graphics. That's

6:55

what a GPU is. Graphics processing unit,

6:58

bro. It's literally in the name.

7:00

Graphics processing unit. Not developer

7:04

playground. Not hack around and see what

7:07

happens with our GPU. Graphics

7:09

processing unit. Okay. So Jensen's

7:12

obviously grilled about this by people

7:14

that have a lot of money in Nvidia and

7:17

by the press like why are you

7:19

hemorrhaging cash on this thing that

7:21

doesn't have a clear payoff and he's not

7:23

even able to really articulate why he's

7:25

doing it. He publicly stated that he was

7:28

taking a bet that the GPU would be

7:30

useful for something other than graphics

7:32

at some point. But by his own admission

7:35

in interviews and in public statements,

7:37

he he didn't know exactly what that was

7:39

going to look like. He just believed

7:41

that it would be useful at some point

7:43

and it's a crazy bet to make but there's

7:45

crazy upside. It took a long time for

7:48

CUDA to pick up steam but researchers

7:51

started using it, papers started being

7:53

written about it, tooling starts being

7:55

built on CUDA and in the 2010s when deep

7:58

learning starts kicking off. This

8:00

becomes the de facto platform that

8:04

researchers, engineers, scientists use

8:06

to develop machine learning algorithms

8:09

and Nvidia is the only one selling it.

8:11

So 2006 we have nothing maybe some

8:13

hobbyist and strange researcher

8:15

interest. Around 2010 2011 things pick

8:18

up a little bit and then 2012 is the

8:21

defining moment. A paper comes out on

8:23

Alexnet. This is a big research paper.

8:25

It is one of the things that ostensibly

8:28

kicks off the modern deep learning era

8:31

and everything in the paper is built on

8:33

CUDA. So it sets the standard. So that's

8:35

a bet Jensen made 6 years prior with no

8:39

obvious or immense payoff burning a

8:42

bunch of money and finally they become

8:45

dominant in this totally new and

8:47

emergent technology space and they're

8:49

uncontested because nobody else has

8:51

burned as much money developing this.

8:53

The ripple effects of this are still

8:54

obvious today. You have competing chip

8:56

manufacturer AMD. They make chips with

9:00

stats on par with Nvidia's chips, but

9:03

all of that compute is locked up because

9:05

they h they don't have decades of

9:08

developing tooling and ways to interface

9:10

with their primitives on the GPU for

9:12

machine learning. Even if AMD dropped

9:15

everything today and said, "We are not

9:18

doing anything with gaming, graphics,

9:20

anything like that anymore. we are just

9:22

all in on machine learning. We're going

9:24

to build something way better than CUDA.

9:26

It's going to be way better, way easier

9:27

for developers to use. It wouldn't

9:30

matter because at this point for over a

9:32

decade, the de facto standard for

9:35

engineers working on machine learning on

9:37

AI has been to develop on CUDA. And it's

9:41

not just the opportunity cost of those

9:42

engineers switching over, learning a new

9:45

framework, something like that. Once a

9:47

primitive comes out like this, like

9:49

CUDA, there's tech and frameworks built

9:51

on top of it that make it easier and

9:53

easier for engineers to develop on that

9:56

framework. So, you have over a decade of

9:58

customuilt tooling, fixtures, things

10:00

that just make your life easier when

10:02

you're working on this stuff built on

10:04

CUDA that AMD doesn't have. Even if they

10:07

threw everything at it, they can't buy

10:09

developer market share like that. If you

10:11

want a metaphor, it's like you move into

10:14

a new furnished house. You buy it and

10:17

it's furnished. I know it's kind of

10:18

weird, but walk with me here. You buy a

10:21

new furnished house and you live in it

10:23

for 10 years. You're going to swap out

10:24

the furniture. I don't like that couch.

10:26

Let's put some art up over there. The

10:28

arrangement of this room is all wrong.

10:30

And in 10 years, that house is going to

10:32

be like very easy and comfortable for

10:34

you to come home to, to cook in your

10:37

kitchen,

10:38

easy for entertaining, easy for your

10:40

hobbies because you've customized it

10:41

over 10 years. You you have 10 years in

10:43

the game. AMD is giving you that nicely

10:46

furnished house if you're a developer,

10:47

but you just moved in. You just moved

10:49

in. The configuration isn't optimal. You

10:51

don't like some of the stuff in there.

10:53

Uh even if the house is nicer, even if

10:55

the house is nicer, it's not set up for

10:56

you yet. Fast forward to today. How is

10:59

Jensen running the company? And he's one

11:02

of these case studies that I've I've

11:04

looked into. I've studied leaders in the

11:06

tech space. As a tech leader myself, I'm

11:09

always looking to learn from other folks

11:11

that have made their way, especially

11:13

self-made people, not so much coastal

11:16

elite, easy come up networking conmen,

11:18

but these self-made people. And so I

11:20

looked into Jensen, and his management

11:22

style is very, very strange. I I'm not

11:24

sure I agree with it. It's very strange.

11:26

He has 60 direct reports. And so when I

11:30

say direct reports, these are people

11:31

that he manages directly. So those

11:33

people may manage other people, but I'm

11:35

talking like direct reports. They would

11:38

say Jensen is my is my boss. He's my

11:40

manager. If you don't come from a tech

11:42

background or you're not that familiar

11:43

with tech leadership, this is a lot. I

11:46

mean, it is a crazy amount. The most

11:49

I've ever had was 20 and that was absurd

11:52

and unsustainable. probably the perfect

11:54

size is I mean I don't even know if it's

11:57

a perfect size. You probably max out

11:58

around eight or 12. It takes a lot of

12:01

emotional energy to deal with that many

12:02

people if you're going to be a good

12:04

manager. And ultimately you only have so

12:06

much emotional energy every day and

12:09

every week. So, if you're going to do a

12:10

really good job uh as as a manager, kind

12:13

of the general path of manager, I would

12:15

say top out around like 8 or 12 because

12:18

not only it's not like you're managing

12:20

uh CVS or something where it's just like

12:23

who's here, everyone has clear roles and

12:25

responsibilities. The company defines a

12:27

lot of these things. It's like you got

12:28

to do technical architecture. You got to

12:30

get in the weeds with people. There's

12:31

the personal issues that come up within

12:34

the team, outside of the team. So it

12:37

it's uh it's really it's a it's a huge

12:40

gig. It's a huge gig to manage

12:41

technicals. And so 60 is I mean it is

12:44

baffling. Nobody nobody in this industry

12:46

manages 60 people directly. Nobody other

12:48

than Jensen. But the way he's able to do

12:50

it, he's not some exceptional human

12:52

being because of this. That's not the

12:54

case I'm making. I I'm saying the way

12:57

his entire management philosophy is set

12:59

up is completely different than anybody

13:02

else I've seen in tech. Like I said, I

13:04

don't not sure I really agree with it.

13:07

With these 60 direct reports, he has no

13:09

one-on-one meetings. His reported

13:11

philosophy for not doing this is that

13:14

private information creates political

13:16

advantage that can be unfair. So, he

13:19

does everything in a group setting where

13:21

context is shared between everyone. But

13:23

he's not some utopian manager. He said

13:25

he wants all of his employees to feel

13:27

quote a bit of fear. He defends this by

13:30

saying the fear he wants them to feel is

13:32

the fear of failing and the fear of not

13:35

shipping something. His critics say that

13:37

this creates a pressure culture that

13:39

burns people out and forces them out of

13:41

the company. His proponents say this is

13:44

why Nvidia ships and is dominant in the

13:46

industry. I want to take us back to the

13:48

leather jacket. As I mentioned, he's

13:50

worn the same leather jacket for 30

13:52

years. This is an intentional choice. He

13:55

treats his personality as a product, as

13:58

a brand. And I see this kind of

14:00

hard-nosed personality first, carefully

14:03

manicured personality that the public

14:05

sees. Personality first kind of deal

14:08

come through in his management style as

14:09

well. It's very strange. Very strange in

14:11

tech. Can't name another person that has

14:13

60 direct reports. And certainly most

14:16

CEOs don't say that they want their

14:18

employees to feel fear. And whether

14:20

right or wrong, whether you agree or

14:22

disagree, on a very pragmatic level,

14:24

this makes Jensen really, really hard to

14:28

replace at Nvidia, his stakeholders have

14:31

to know and be aware that this is a

14:34

massive succession risk for one day when

14:36

he steps down or decides to leave the

14:38

company. How do you replace a guy like

14:41

this that has carefully crafted this

14:44

whole persona and management style

14:46

that's very different? Nobody else has

14:47

this skill set. And one of the things I

14:49

I mean by that is Jensen's org is also

14:52

very flat. And what I mean when I say

14:54

flat is, you know, usually you have like

14:56

a CTO,

14:58

senior VP, VP, director, yada yada, down

15:01

and down and down through the ranks,

15:02

manager, manager, manager, manager. And

15:04

their organization is very flat. So

15:06

there's he has you know 60 people under

15:08

him and then presumably those 60 people

15:11

have wide swaths of direct reports under

15:14

them too. So this telegraphs down and

15:15

you don't have a massive reporting chain

15:17

like you'd find in any other company of

15:20

that size. And to add to this, Jensen

15:22

involves himself at product decision

15:24

levels that are very strange for a CEO.

15:27

Like he might comment on chip design. He

15:29

might comment on exact marketing

15:30

campaigns. At a company of this size, a

15:33

CEO almost becomes more like a

15:34

figurehead. And Jensen is very much

15:36

involved in some of the day-to-day,

15:38

which again makes him very difficult to

15:41

replace. and you wonder if it's

15:43

intentional. By the numbers, Nvidia's

15:46

transformation is one of the fastest and

15:48

most profitable in tech history. But

15:50

their financial filings also tell you

15:52

where the risk is. Remember 5 years ago,

15:56

gaming was the primary profit source for

15:59

Nvidia. Now, as we've discussed before,

16:02

when they've decided to not release new

16:04

graphics cards for private consumer

16:07

gamers, it's like a rounding error for

16:09

them. It's kind of like this token thing

16:11

that they do on the side. It's no longer

16:13

a big revenue driver compared to the AI

16:16

space. What and what the company will do

16:19

5 or 10 years from now is anybody's bet.

16:22

It's a total wild wild card. And I'll

16:24

tell you why. Because Jensen has made

16:27

this crazy pivot from the the company

16:29

going from a gaming company to a machine

16:32

learning AI data center company. And

16:35

tomorrow it could it could be anything

16:37

else. Win or lose, who knows? But as

16:40

evidence of this, we have in 2020 Jensen

16:43

in Nvidia is thinking we really want to

16:46

vertically integrate. We want to control

16:48

the whole stack. Whole stack. I mean,

16:50

you get the sense that this guy wants to

16:51

be in charge of the mines that are

16:53

getting the raw materials for the chip,

16:56

be in charge of the chip creation,

16:58

everything, everything, nose totail. And

17:00

as evidence of this, in 2020, Nvidia

17:03

tried to acquire ARM, the chip

17:05

manufacturer. They were owned by

17:07

SoftBank at the time. and the FTC tied

17:10

up the whole thing in a bunch of

17:12

litigation. The regulators were not

17:14

happy with this. Is it going to create a

17:16

monopoly? Does that give Nvidia an

17:18

unfair control of this market segment?

17:20

So, SoftBank withdrew from the deal a

17:22

couple years later and the whole thing

17:24

fell through. But we can see clearly the

17:26

ambition that Jensen has that Nvidia as

17:28

a company has to expand their remit to

17:32

be fully vertically integrated and to

17:35

maybe build something completely

17:36

different tomorrow than what they're

17:37

building today. But will Nvidia even be

17:39

around? And if they are, will Jensen be

17:41

in charge of it at that point? We have

17:43

documentation on form for filings from

17:46

Jansen and other key exeacts at Nvidia

17:49

executing quite large sales of their

17:52

shares in the company. Legal, somewhat

17:54

standard, but worth noting when the

17:56

company is on a generational bull run.

17:59

And you got to be wondering, are they at

18:01

an all-time high? Do they see the

18:02

writing on the wall for this? And

18:03

they're starting to cash out. So, here's

18:05

what most pieces on Jensen fail to

18:08

assess. In summary, did he make a an

18:13

incredibly good bet? He just knew

18:17

something was coming down the pipeline.

18:18

This is business intuition. Call it what

18:21

you will. Did he make a great bet or is

18:24

he very reckless? And I hate to say it

18:27

because all of my exposees are like, you

18:30

know, revealing all this dirty laundry

18:31

on people, but I think it was good

18:34

business intuition. And I'll tell you

18:35

why. I'll tell you my case. And I want

18:37

to hear your counterpoints in the

18:39

comments as well because I go back and

18:41

forth on this. But today, what I think

18:43

and how I feel about it is that when he

18:47

got the CUDA tooling going, it was a

18:50

visionary move. It was a visionary move.

18:52

It wasn't just luck. Predicting the

18:54

future is luck. But he didn't only

18:57

predict the future. He doubled down on

18:59

this for 18 years. So if you've never

19:03

been in leadership, it is constantly a

19:07

struggle to get money to do the things

19:09

that you want to do. Money is the

19:11

constraining resource a lot of the time.

19:13

Unless you're at like a early stage like

19:16

high VC funded startup, uh, which is

19:18

super fun and and a totally different

19:20

vibe. resource scarcity. It's not even

19:23

scarcity. It's just like there's only so

19:25

much to go around, right? And it's hard

19:28

to get a big bag of money to go and do

19:30

what you want to do. You got to convince

19:32

uh if you're at the CEO level, you got

19:34

to convince your board, you got to

19:36

convince your peers, you got to convince

19:38

a lot of people that this is okay what

19:40

you're doing and it's good to burn the

19:42

money on this. And so it wasn't Jensen

19:43

was just like, I think we'll make some

19:46

developer tooling. Maybe that's how it

19:48

started. But then every quarterly

19:51

earnings, he's probably getting

19:53

questions about this. His board members

19:55

are like, "What the hell are you doing,

19:57

Jensen? We're just pissing money away on

19:59

this thing that has no ROI. It has no

20:01

market share. It's not helping get

20:03

people on the platform. What are you

20:04

doing? You got to shut it down." And he

20:06

defends this for 16 years. For 16 years

20:09

before it has a massive payoff and now

20:12

he's the one laughing all the way to the

20:13

bank. And so my hunch is that this is

20:15

not just like a narcissist's whim that

20:18

all my idea is good and I'm going to

20:20

keep with it. Like he's getting badgered

20:22

for this for over a decade to cut it out

20:25

and he defends it. So for for my money,

20:27

I do think that that's I think that

20:29

that's correct intuition about where the

20:31

market is headed. That's not to say

20:33

there are not very real risks to

20:35

Nvidia's company right now. Every major

20:38

hyperscaler, Microsoft, Google, Amazon,

20:41

Meta, they are all working on their own

20:44

chips and most of them are even working

20:45

with external chip manufacturers to try

20:48

to replace Nvidia because they control

20:50

so much market share and so much of the

20:53

AI spend. They're looking to liberate

20:55

themselves from that to give more market

20:57

competition to themselves to drive

20:58

Nvidia's price down. And again, this is

21:00

not like tinfoil hack conspiracy. All of

21:02

those hyperscalers, they mention this

21:04

publicly in press releases, in their

21:06

earnings documents that like, hey, we

21:08

are trying to do this to cut our GPU

21:10

spend. This is their stated purpose. You

21:12

even have companies like Chat GBT

21:15

working with Cerebrris, which is a new

21:17

chip manufacturer. They make a new type

21:18

of chip that is very fast at AI

21:20

inference. You can watch my video on

21:22

them if you want to learn more about

21:23

that. And even a new company that spun

21:25

up very recently in Canada that's making

21:27

headlines right now, Talos, which is

21:30

making these chips that are just

21:31

lightning fast for inference, like

21:33

hundreds of times faster than Nvidia

21:35

GPUs on inference. So Nvidia's moat is

21:38

shrinking and a lot of these other

21:40

manufacturers are one or two

21:42

breakthroughs away from being able to

21:44

replace a massive amount of Nvidia GPUs

21:47

that they need to do their business.

21:48

Suddenly Jensen and the other leadership

21:51

stock sales make a little bit more sense

21:53

in that context. Yeah. As I mentioned

21:55

before, the succession problem is very

21:57

real too. How do you replace a guy who

21:58

has 60 direct reports? Nobody has that

22:00

skill in the industry that is involved

22:02

very much in the day-to-day of product

22:04

decisions and isn't a total con man.

22:07

Like he understands how chips are built

22:10

because he built chips unlike a lot of

22:12

other CEOs of these companies. I was

22:14

actually surprised while doing my

22:15

research on this piece to find out that

22:17

Jensen is 61. So, he's getting up there.

22:20

He cannot be CEO of the company for a

22:23

very long time. The board and the key

22:27

shareholders need to start thinking

22:28

about who who are we going to replace

22:30

Jansen with? How how do we find a

22:32

replacement that doesn't crater the

22:33

company? Let's end by coming back to the

22:35

leather jacket. The leather jacket

22:37

brings everything together. Same leather

22:39

jacket 30 years. That's discipline.

22:41

discipline and fidelity to a cause that

22:44

he believes in. Making his own brand

22:47

probably was goofy when he started doing

22:48

it 30 years ago. People are like, "Dude,

22:50

come on. That's tryh hard." Now it's

22:52

iconic. Nobody questions it. I'll leave

22:54

it up to you in the comments to discuss.

22:56

I want to hear your points on both

22:58

sides. Is Jensen a visionary or is he an

23:01

extremely disciplined opportunist

23:05

that executed faster than anyone else

23:07

when he saw Elaine? Thank you for

23:09

watching. If you are not subscribed,

23:12

let's fix that. Hit the button below.

23:13

Hit the bell to be notified when new

23:14

posts come out. And if you want the

23:16

facts and figures on all of this, if

23:17

you're watching this on February 24th,

23:19

the day this is coming out, Nvidia's

23:21

earnings are tomorrow. We're going to

23:22

have the video here within an hour or

23:24

two of earnings, you want to be

23:25

subscribed and notified for that when it

23:27

comes out. And also be sure to sign up

23:29

for the newsletter to get the facts and

23:31

figures behind the AI bubble.

Interactive Summary

Jensen Huang, CEO of Nvidia, is characterized by his deliberate actions and unique leadership. Before founding Nvidia at age 30, he was a hands-on microprocessor designer, a background that sets him apart from many tech executives. Nvidia's early years were challenging, nearly failing twice due to botched projects like the Sega Saturn chip. These experiences taught Jensen to prioritize shipping products quickly over achieving perfection, a philosophy exemplified by the rapid development of the Revo 128 chip that allowed Nvidia to surpass 3dfx. His most significant bet was the 2006 investment in CUDA, a platform to leverage GPUs for general computing beyond graphics. Despite initial skepticism from shareholders and a lack of clear market need, Jensen persistently championed CUDA for over a decade. This foresight paid off immensely with the rise of deep learning in the 2010s, making Nvidia the undisputed leader in AI. Jensen's management style is unconventional, with 60 direct reports and no one-on-one meetings, fostering a "fear of not shipping." While highly successful, Nvidia faces risks from hyperscalers developing their own AI chips and a significant succession challenge given Jensen's age and singular leadership approach. The speaker ultimately concludes Jensen's success stems from visionary intuition and disciplined perseverance, not just luck.

Suggested questions

5 ready-made prompts

Recently Distilled

Videos recently processed by our community