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전체번역 | 팔란티어 실적발표 CNBC 인터뷰

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전체번역 | 팔란티어 실적발표 CNBC 인터뷰

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359 segments

0:00

We grew our business 93% 93.

0:02

>> Better than what analysts were

0:03

expecting.

0:04

>> Okay, that's not Nobody Okay, great.

0:05

Forget Kim sensors. No business in to my

0:08

knowledge, no business is at our scale

0:10

even grown half as much. We grew 85%

0:12

last quarter or like that was crazy. 93%

0:15

is like a revolution. So by the way, and

0:17

then you would say, "Is the revolution

0:19

growing in a way that's profitable?" Our

0:20

adjusted free cash flow margins are 63%.

0:23

The US We are at massive scale. We grew

0:25

115%. 115%. The first thing that any

0:29

normal person does is spit out their

0:30

dentures. And after they spit out their

0:32

dentures, they turn the numbers to see

0:33

if these numbers are even possible. And

0:35

then legit Then the question is, "Can

0:37

this business grow at this rate? Can the

0:39

business grow at a greater greater than

0:41

100% for the next 18 months?" And what

0:43

you see in both the sovereign demand for

0:46

our product, the product offering, our

0:47

alliances, both that compute all the way

0:50

up including helping to open up the

0:52

world to being receptive to open weight

0:53

models and their fine-tuning. Beginning

0:55

to fine-tune these models so the models

0:57

work at Frontier is a business unlike

0:58

any other business that is poised to

1:00

grow with these margins and with this

1:02

revenue growth for another 18 months.

1:05

>> So the response has been very positive

1:06

since 4 weeks ago when you talked about

1:08

the AI sovereignty debate, customers

1:10

have been responding positively.

1:11

>> Yeah, okay. That You're using You're

1:13

using a frame of analysts are happy

1:16

customers. This is a revolution. This is

1:18

not Happy is when you come home and have

1:20

a nice conversation with your partner.

1:22

This is much more like you come home and

1:23

your house is a castle and you're flying

1:25

through the air in your car. Like this

1:27

is a revolution. This is not moderately

1:29

improvement, moderate happiness,

1:31

analysts are pleasantly surprised, al

1:34

eyebrows get raised. This is a

1:35

completely different world. And by the

1:38

way, again, I don't want to over

1:40

numerify this because like in in a weird

1:42

way it's not just the numbers but the

1:43

importance of the numbers. It's not just

1:45

93, it's not just 115, it's not We grew

1:47

US commercial at 149 almost 150%. 150%.

1:51

Okay, but what's important about those

1:53

numbers is you can see in the numbers

1:55

because of the the the charisma and

1:57

truth of the sovereign AI riff and it's

2:00

important that we helped launch together

2:03

that these things are going to go on for

2:04

a long time. And why is this important?

2:06

>> Yeah.

2:06

>> We have people trying to drug addict us

2:09

to a future they believe they control.

2:11

I've spent a lot of time with Dario and

2:13

the EA crew. They want to tell you we

2:15

have to march into a future where we own

2:18

nothing, where our businesses aren't

2:19

profitable, where none of us have jobs,

2:21

and where our adversaries win. And

2:23

Palantir and our allies are guiding you

2:25

into a future where you have growth and

2:27

jobs. The margins are a metaphor for

2:29

everyone earns.

2:30

>> You you've blamed the Frontier Labs of

2:33

overcharging customers, right? Open AI

2:35

has responded. They brought down their

2:36

token cost.

2:37

>> I by the way by the way I

2:38

>> So why are you deepening your your your

2:40

threat against the big AI labs?

2:41

>> there's no

2:42

>> In this investor letter you say we have

2:43

always declined and will continue to

2:44

decline entering into a parasitic

2:46

relationship with our partners.

2:47

>> Okay, but you're taking two things.

2:49

Charging for a price which I'm Palantir

2:51

we get paid a lot of money. Why do we

2:52

get paid a lot of money? Because we

2:53

create value for the customer first and

2:55

value where that they keep. So my

2:57

central obvious it's not even an attack.

3:00

All I did is put out facts. There's been

3:01

no response to these facts and primarily

3:03

I was talking about a philosophy that is

3:05

downstream from the belief that because

3:09

they will own the future, they can take

3:11

the your alpha and transfer to them in

3:14

the present. I actually truly believe if

3:16

these if if if a lab or Palantir or an

3:20

open weight model or people deploying an

3:22

open weight create a billion dollars in

3:24

value, they should make 300 million

3:26

dollars. You make That's a fair thing.

3:28

It's not about what you charge, it's

3:30

what you charge for. If you're charging

3:32

for something that creates very little

3:33

value and simultaneously, if I charged

3:36

you a million dollars for something and

3:37

you're like, "Okay, what is the value

3:38

I'm getting?" What if I charged you a

3:39

million dollars and you found out I

3:40

migrated your whole bank account into my

3:42

bank account at the same time?

3:43

>> And CEOs understand that. They

3:44

acknowledge those comments you made to

3:45

the four weeks ago when you came on

3:47

CNBC. But what do you say to the small

3:49

business that says we don't have the

3:51

budget to be able to have an open weight

3:52

plus a closed source model. We got to

3:54

just go with the frontier lab."

3:56

>> Well, I think actually the what's going

3:57

to happen more I think actually that's

3:58

the inverse. I think this the the

3:59

smaller business are going to move to

4:01

open weight models because they they

4:02

can't afford it and also they are very

4:04

worried about their IP. I think the

4:05

reality of what's going to happen with

4:07

our business partners, which are medium

4:09

to large businesses can

4:11

that whose fate most jobs in America

4:13

upon which rest, so that your economic

4:16

future and our ability to defend

4:17

ourselves rest on the back of our

4:19

partners. And our partners are going to

4:21

move for an application layer because of

4:23

open weight or closed weight, they're

4:24

not putting those models on top of their

4:27

enterprise. First of all, they don't

4:29

create a lot of value. Second of all,

4:30

the value they create gets migrated

4:31

somewhere else. And they're all running

4:33

around saying no ontology, no love,

4:35

which is like a set a saying from the

4:36

'70s I had to look up. But it's a it's

4:39

like that's what they're saying. And

4:40

they're they're going around saying,

4:41

"And by the way, we're not even we're

4:43

educating people that aren't even our

4:44

partner." Like not everybody we educate

4:46

is going to become our partner, but I'll

4:47

tell you what, they're not going to fall

4:49

for this trick of I give away the the

4:50

the means of my production and pay for

4:52

it. At least they should pay you. You

4:54

know, it'd be a very different thing if

4:55

they're like, "Hey look, we'll pay if I

4:56

came to you and like, "Look, I'll pay

4:58

you a million dollars. Yeah, your

4:59

business is going to be worthless after

5:00

I'm done, but at least I gave you some

5:01

money." What if you paid or

5:02

[clears throat] something?

5:03

You know, so any case, we're but by the

5:05

way, I've spent a lot of time with Look,

5:08

I've spent a lot of time with Dario.

5:09

He's he's not the caricature people

5:11

think. They have a philosophy. That

5:12

philosophy is a very important

5:15

philosophy, the determinative philosophy

5:17

in the tech scene of the last couple

5:18

years. And that philosophy in its

5:20

business practice basically says, in

5:22

simple terms, I own the future,

5:24

therefore you should migrate the value

5:26

of your business to me and be happy with

5:28

the derivative of that that you

5:29

sometimes get after a wealth tax.

5:32

>> If

5:32

>> And most Americans are saying, "I

5:34

already have a religion and I'd rather

5:36

stick with my religion than embrace

5:38

yours because my religion makes me

5:39

better, wealthier, more spiritual, and

5:41

many other things." This other religion

5:43

actually is a way of explaining to

5:45

themselves like you have to remember,

5:47

you're sitting at a a large model

5:49

company and you're highly ethical

5:50

person. How do you explain to yourself

5:52

why it's your right to migrate the value

5:54

of your business to their business and

5:56

therefore take the jobs and prosperity

5:59

of those people away from them. You do

6:00

it because you believe you're creating a

6:02

better tomorrow. Just unfortunately,

6:04

that tomorrow is not going to be as good

6:05

for the people that you are partnering

6:07

with and they're paying you.

6:08

>> So then if we see the industry move

6:09

towards open weight models, the Frontier

6:11

Labs, sure, sovereign. If the Frontier

6:13

Labs and come out with their what

6:15

happens to their valuation? Do they get

6:16

cut in

6:17

>> Look, I look, sorry, that's necessary

6:19

valuation for the topic, okay. I like

6:21

I'm totally that is irrelevant to me.

6:23

>> What happens to the Frontier Labs?

6:24

>> Okay, sorry, sorry. You know, I I talked

6:26

to Sarcan about this and I'm just going

6:27

to say the same thing. You guys are very

6:29

worried about what happens to their

6:30

valuation. I'm worried about what

6:31

happens to American enterprises that

6:33

power most of the economy, most of the

6:35

jobs, what happens to the Department of

6:37

War and the safety and veracity of our

6:39

physical and economic life.

6:41

Every but every company in the world

6:43

should be every company in America

6:44

should be downstream of that. I have no

6:46

professional or interest in in

6:47

discussing like, by the way, and then

6:49

also I would say in a slightly more

6:51

acerbic way, why are we so focused on

6:54

how well a small group of people do in

6:56

America? Why don't we focus on how

6:58

Americans are doing? And I'll tell you

6:59

what's good for Americans. They get to

7:01

control the value of the enterprise. By

7:02

the way, it's also very good for

7:04

Palantir. Witness 90% 93% growth, 115%

7:07

growth in America, 100 rule of 40 at 155

7:11

and and an ascendancy that looks like

7:12

this is going to go on for at least

7:13

another 18 months.

7:14

>> Speaking of Americans, both Open AI and

7:16

Anthropic have disclosed over the last 2

7:18

weeks hacking incidents. Should

7:19

Americans be worried about how safe

7:21

their data is?

7:21

>> Look, part of the problem that the model

7:24

companies have is they've told you this

7:26

is dangerous, this may screw you, you

7:28

probably won't have a job and maybe our

7:30

adversaries win because we can't work

7:31

with the Department of War. Okay, so

7:33

just go based on what they're saying.

7:34

But again, there is a way this works out

7:37

for all of us. So you can't The problem

7:40

of part of the problem the Valley has is

7:41

we've been super polyannish of like this

7:43

is all going to work out it's all going

7:44

to work out unless you're screwed.

7:44

You're probably screwed but then it'll

7:46

work out for us. The reality is that

7:47

there's the hybrid application layer.

7:49

That's the frontier closed model

7:51

narrative. The application layer model

7:53

layer thing is you're going to use the

7:55

model that works for you. You're going

7:56

to use it under any circumstance. You're

7:57

going to have compute that you control.

7:59

You're going to power that model and

8:00

those models are going to be at or

8:02

better than frontier labs. Now, of

8:04

course, that's disproportionately good

8:05

for Palantir like most things that are

8:07

good for the world.

8:08

>> Do you agree with US companies using the

8:10

more cost-effective Chinese open-source

8:12

models that are becoming more popular?

8:14

>> we we strongly encourage the use of

8:17

American open way models. We're not in

8:19

the business of telling our customers

8:20

what they do, but I would say the reason

8:22

why I signed that letter is if it's very

8:24

similar to like what happens in Europe

8:26

with the green party. If you say I'm

8:27

only going to coalesce with these two

8:28

parties,

8:29

>> Right.

8:29

>> you just are empowering a party that is

8:31

pro-migration independent of the

8:33

insanity of it. We need competition if

8:35

we're going to keep model companies

8:37

honest, which is the same thing as like

8:38

enterprise software. Like I compete.

8:40

Palantir competes in every jurisdiction,

8:42

right? We don't want to do what Europe

8:44

did. What did Europe do? Europe's

8:45

basically saying you can only buy

8:47

technology from Europe. How's that

8:48

worked out for Europe? We don't want

8:49

that in America. The way we win in

8:51

America is we compete and our open

8:52

models have are going to have to become

8:54

as good as Chinese open models. By the

8:55

way, it's also somewhat of an irrelevant

8:57

debate because in reality what I

8:59

believe, what our customers believe is

9:00

the models are only valuable where they

9:02

have FDEs and application layer and some

9:05

expertise in the installation of that

9:06

and protecting tribal knowledge. They're

9:08

not value as valuable as people may

9:09

sometimes think Palantir

9:11

>> The models?

9:11

>> Any models. Like this is the this is

9:13

like half the problem with the with the

9:15

with the with the with the lab narrative

9:16

is it's just not even true. Those models

9:18

are used effectively in enterprise where

9:20

they have an application layer.

9:21

>> Is it fair that they used distillation

9:23

to copy Anthropic's data?

9:24

>> Okay, there's there's a thing. There's a

9:25

lot of unfair Okay, yeah. Great. You We

9:27

can all be polyanish like we live in a

9:29

village in the 1500s. How do you think

9:31

the models got their value? They

9:32

distilled all the value of IP everywhere

9:34

including enterprise everywhere. Like

9:36

we're in a battle here. Those things

9:37

have to work. There's only one way for

9:39

them to work ethically, and that's

9:40

called an application layer on the back

9:42

of your own compute where you control

9:43

the model. There's what a way to get it.

9:45

It's not the only way, but the best way

9:46

to do it is you buy Palantir, you

9:48

install it, you have us do it. That way

9:49

works ethically, it's better for the

9:51

whole country, and it's certainly better

9:52

for our customers. And that's what you

9:54

see in our bombastic and astoundingly

9:57

impossible [clears throat] to understand

9:59

numbers.

9:59

>> And it shows in the numbers as you just

10:01

shared. What's the runway? What does the

10:02

future look like for this specific

10:03

business?

10:04

>> Well, I think one of the things that

10:05

people are going to look like look at

10:06

these numbers and they're going to say

10:07

they they grew the US at 115%. Why can't

10:10

they do that next year? And that's the

10:11

answer to a lot of questions. In any

10:13

case, I think this is great interview.

10:15

>> Thank you for your time, Alex. This was

10:17

really eye-opening and helpful to

10:18

understand just the the growth

10:20

opportunity for Palantir.

Interactive Summary

The video features a discussion with Palantir's leadership regarding the company's exceptional growth, highlighted by a 93% overall revenue increase and 115% growth in the US. The CEO emphasizes a 'sovereign AI' strategy, arguing that businesses should maintain control over their data and compute to ensure ethical and economic viability, rather than relying on a small group of large AI labs that may extract value from their partners. The conversation also touches on the importance of application layers for enterprise AI and the company's commitment to supporting American open-weight models to maintain competitive dominance.

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