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Elon’s Anthropic Deal, The Next AI Monopoly?, “FDA for AI” Panic, Trading the AI Boom

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Elon’s Anthropic Deal, The Next AI Monopoly?, “FDA for AI” Panic, Trading the AI Boom

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2495 segments

0:00

How do I sound?

0:00

>> You sound perfect.

0:01

>> great.

0:02

>> I look?

0:02

>> Yeah, you sound great. Better than you

0:04

look.

0:05

>> You got that face made for radio.

0:07

>> You [laughter] don't look as tired as

0:09

you have in recent weeks.

0:10

>> That's true. Yeah.

0:11

>> Yeah.

0:11

>> Somebody was slagging me for the bags

0:13

under my eyes. I mean, this audience is

0:16

brutal. [music]

0:17

>> They're brutal. They're brutal.

0:19

>> It's a good thing I'm rich.

0:20

>> [laughter]

0:24

[music]

0:24

>> You let your winners ride.

0:27

Rain Man David Sacks

0:30

>> [music]

0:32

>> We open sourced it to the fans and

0:33

they've just gone crazy [music] with it.

0:39

>> All right, everybody. Welcome back to

0:41

the number one podcast in the world.

0:42

It's the All-In podcast. With us today

0:46

Chamath Palihapitiya, David Sacks, and

0:49

our fifth bestie, Mr. Brad Gerstner is

0:52

here. I think David Friedberg is

0:55

suffering from some

0:56

socialist-related flu.

0:58

>> He's very sick of reading about

1:00

>> socialists, but he'll be back next week

1:02

with two incredible, incredible

1:04

interviews.

1:05

>> You guys see those Spencer Pratt ads?

1:07

>> Wow.

1:08

>> It's one of the best political ads I've

1:09

ever ever seen.

1:10

>> Oh, there's like three or four of them.

1:12

>> There are multiples.

1:13

>> Yeah.

1:13

>> Whoever that social media team is is on

1:15

fire.

1:15

>> If you get a good social media team and

1:17

you get a good ad production team, I

1:19

think it's next gen cuz these things go

1:21

crazy. And Spencer Pratt, if he wins

1:23

this election, which I think he's going

1:24

to in Los Angeles, the reason is what

1:27

Brad said. Those ads are incredible.

1:30

>> Well, he's also quite a good debater.

1:31

Did you see clips from this debate?

1:34

>> Absolutely. He's so funny. He's so

1:37

chill.

1:38

>> Yeah, well, he's up against Karen Bass,

1:39

who's the mayor, who is basically

1:41

extremely left-wing. And then there's

1:43

someone who's a city councilwoman, who's

1:45

even further to the left of Karen Bass.

1:48

I mean, she's

1:48

>> Yeah, yeah.

1:49

>> often like Fidel Castro territory.

1:51

>> She's an Indian Fidel Castro.

1:53

>> Raman. So, she was basically, I guess,

1:56

criticizing the mayor for the

1:58

homelessness problem.

2:00

And then Pratt pointed out that this

2:02

councilwoman is actually in charge of

2:04

all these homeless programs already.

2:07

>> [laughter]

2:07

>> He eviscerated her.

2:08

>> He eviscerated her. And he basically

2:10

made the key point, which is, "Look, the

2:12

problem here is not lack of housing,

2:13

it's an addiction issue, and it's a

2:15

mental illness issue." And he said,

2:17

"Look, if you

2:18

>> said

2:18

he said if she went to the street, she'd

2:20

get stabbed in the neck.

2:21

>> Yeah.

2:22

>> [laughter]

2:23

>> Which is pretty accurate if you've been

2:24

to Skid Row. I mean, you would not want

2:26

to walk through there.

2:28

It was like the Spider-Man photo.

2:30

>> got the clip. Play the clip, Nick.

2:32

>> Oh, god.

2:32

>> This clip is brutal.

2:33

>> a different clip, but this one super

2:34

viral. It reminded me of Trump a little

2:36

bit.

2:37

>> Let's see.

2:38

>> I'm not sure how to respond to that

2:39

vision of Los Angeles. This is a MAGA

2:41

Republican's idea of what Los Angeles

2:44

looks like. This is This is really not

2:47

>> [laughter]

2:49

>> Unbelievable.

2:51

>> For those of you listening, he put his

2:52

hands up and wiggled his head like, "Oh

2:54

my god."

2:55

>> [laughter]

2:55

>> Hey, hey, Sachs. You know, Stephen Pratt

2:58

wins mayor,

2:59

>> Spencer Pratt.

2:59

>> Spencer

3:00

>> the you know, the ballot initiative, the

3:02

retirement protection and savings act,

3:04

right? It's going to pass. It's going to

3:05

pass with big numbers. This is the, you

3:07

know, referendum that effectively is

3:09

going to knock out the wealth tax. Can

3:10

you imagine if California effectively

3:13

passes a constitutional amendment

3:15

protecting retirement savings and

3:17

personal assets and banning the wealth

3:19

tax and Pratt gets elected, the message

3:21

that would send to the country? That's

3:23

That's a very non-consensus view that

3:26

I'm becoming increasingly optimistic

3:28

about.

3:29

>> Well, from your lips to God's ears.

3:32

But until that message actually is sent,

3:34

I think I'm going to be uh

3:36

>> in Texas.

3:37

>> In Texas.

3:38

>> [laughter]

3:40

>> Well, I mean, this is also in the face

3:41

of I don't know, just a follow-up story

3:43

here, but Mondami did like an attack

3:45

video on Ken Griffin's house. We talked

3:47

about it on the pod a couple weeks ago.

3:49

And like, literally stood in front of

3:50

his house, pointed at it. and this is in

3:52

the face of like a CEO getting shot for

3:56

ideological reasons, Sam Altman's house

3:58

being targeted. This is like a really

3:59

dangerous thing for Mondami to do.

4:02

And Ken Griffin came out today in or

4:04

yesterday in an interview and said,

4:05

"Hey, listen, I'm out. We're going to be

4:07

putting our efforts into

4:10

Florida." And this is the same thing

4:12

that happened to Chicago, and he

4:13

basically said like I really felt

4:14

offended, and I was, you know, nervous

4:17

about this

4:18

because of my personal safety. And he

4:20

called him out. Mondami came out with

4:22

like

4:23

a mealy-mouthed response that didn't

4:25

even apologize for what he did,

4:27

just doubled down on it essentially. All

4:29

right, let's get to the I don't know if

4:30

you guys saw it or not, but who cares?

4:33

And New York is becoming a flyover city.

4:36

>> It's an interesting way to put it. Don't

4:37

disagree.

4:38

>> All right, first story. Elon just leased

4:40

all of Colossus 1.

4:41

>> New data center?

4:42

>> He did?

4:44

>> Nostro What? What?

4:46

>> Yes, shocking to Dario and Anthropic

4:49

Chamath on this week's pod. Go ahead and

4:51

give yourself a pat on the back. You

4:53

said Elon and Dario should do a deal

4:54

tomorrow. It didn't happen. The next day

4:56

it happened 5 days later, so you came

4:58

close, Chamath, but no cigar because of

5:01

Anthropic's obvious compute constraints.

5:04

Anthropic just added over 220,000 Nvidia

5:07

GPUs, over 300 megawatts of energy.

5:10

The deal is already having an impact as

5:13

we've discussed here. Claude users have

5:15

been experiencing rate limits. Well,

5:17

Claude has now doubled the Claude code

5:19

rate limits, removed peak usage caps for

5:21

paid users, and increased API volumes

5:23

for Opus models. XAI is now trading

5:26

their models at Colossus 2. So, they

5:29

have more than enough compute. Elon made

5:31

a great bet

5:32

on compute and built up those data

5:34

centers really fast, and that is now

5:37

paying off. We had the cursor deal we

5:38

talked about last week. Let's talk about

5:41

the emergence of Elon Web Services, EWS,

5:45

Chamath. He is now in the hyperscaler

5:48

competing against Google Cloud, Amazon

5:50

Web Services, and Azure. And uh I don't

5:52

know if you had inside information or

5:54

just a brilliant uh epiphany, but uh

5:56

take us behind the call and what do you

5:58

think about the deal itself?

6:00

>> I think the deal is fantastic. I'll say

6:03

maybe three quick things.

6:06

The first is, as I mentioned a couple

6:08

weeks ago,

6:10

Anthropic

6:11

and OpenAI's revenue performance has

6:14

nothing to do with demand. Zero.

6:18

It is entirely to do with the supply

6:21

constraints that exist in data centers

6:24

and specifically in power.

6:27

If they had infinite power, I think that

6:29

their revenues would probably be even

6:31

more parabolic.

6:33

And so all the breathlessness about

6:35

either exceeding or underperforming a

6:37

forecast, in my opinion, mean nothing.

6:40

I think the five-year view

6:42

for those two companies

6:44

is quite robust.

6:46

The thing that they really need is more

6:49

compute and more power. That's the first

6:52

thing.

6:53

The second thing is, while they need

6:55

that, we have a very big problem,

6:58

which is we unfortunately have very poor

7:00

leadership

7:02

at the head

7:03

of most of these AI firms.

7:07

I think they are coming off as

7:09

untrustworthy or too self-interested.

7:13

The political reaction now

7:15

is starting to turn negative.

7:18

The community reaction is negative.

7:21

You have about 9 gigawatts that are

7:24

supposed to come online this year.

7:26

Almost 50% of it now is being protested.

7:29

More than likely, if if history holds,

7:33

most of that will get turned off. So

7:35

they will get even more supply

7:36

constrained. So that's the setup.

7:39

So what's the opportunity? I think for

7:41

Elon, if you look inside of how people

7:44

try to nitpick the SpaceX valuation

7:46

case, or let's not even let's give them

7:48

sorry, let's be more generous.

7:50

When people try to paint the bear case,

7:52

or they try to red team the valuation,

7:54

the biggest element is the on the come

7:57

value around the orbital data centers.

8:01

And by actually landing a bunch of

8:03

terrestrial capacity,

8:05

I think you start to blunt that. Because

8:07

you can now start to say that even if

8:09

the orbital data centers get delayed by

8:11

a few months or a few quarters, even if

8:13

the technological

8:15

de-risking of it takes longer,

8:17

he now has a structural core business

8:19

that will effectively subsidize

8:22

his ability to train Grok, which I think

8:25

is a really important and underreported

8:27

theme.

8:28

So, you have all this infrastructure,

8:30

he somehow saw the tea leaves

8:32

before most people, he built to a level

8:35

of scale and secured power

8:37

before most people. It is now become the

8:39

critical asset. Now, he's

8:41

kind of king-making.

8:43

And I think that that's a really

8:44

interesting valuation

8:47

reinforcement as SpaceX goes through

8:49

testing the waters in the in the road

8:51

show. Brad, your take.

8:53

>> Yeah, no, I think it's well said. I

8:54

mean, first we we know that there's

8:57

nobody better on planet Earth than Elon

8:58

at converting electrons to tokens. It's

9:01

a critically important evolution to the

9:04

story. You know, I think our friend

9:05

Shawn Maguire, he he he sent out a tweet

9:08

that summed it up well, and he said

9:09

SpaceX has this five-layer cake, launch,

9:12

connectivity, compute hyperscaler, space

9:15

data centers, and then applications and

9:18

models, and then other bets, right? The

9:20

question on the road show has been, "But

9:23

x.ai doesn't on the revenue trajectory

9:27

of OpenAI and and Anthropic, and yet

9:29

there are huge commitments. And now we

9:32

see the ace card that Elon's playing."

9:35

He said he was building AWS all along or

9:38

EWS all along. And so I estimate that

9:41

this is going to generate in this year

9:43

an incremental 45 billion dollars of

9:46

revenue on top of what I have seen

9:48

analyst estimates in the mid-20s. That's

9:50

a material amount of incremental revenue

9:52

to offset the cost of the investments

9:54

that he's made here. And that will

9:56

subsidize to Chamath's point all that

9:59

he's investing to build the next

10:00

generation of growth. Remember too that

10:04

he has three facilities. Colossus, macro

10:07

hard and macro harder. 1.2 gigawatts in

10:10

macro hard and macro harder in

10:11

Blackwell. So he's given the one that's

10:14

kind of less connected H100s great for

10:16

inference to Anthropic. He's monetizing

10:19

it in a big way. It's terrific for

10:21

Anthropic. And it solves what I think

10:24

was the biggest question in the

10:26

valuation story, which is what if he

10:29

spends ahead of x.ai's revenue. It takes

10:33

the pressure Chamath off x.ai delivering

10:36

immediate revenue. Now he becomes

10:38

an immediate competitor in the

10:40

hyperscale. I don't think this is the

10:41

last announcement. I think he's going to

10:44

make a lot more,

10:46

you know, moves in this direction. I

10:48

think it will be a material part of

10:49

their story and their revenue

10:50

projections

10:52

as they come together. And I would just

10:54

say finally, you know, again, everybody

10:56

has talked about how we don't have

10:58

enough power, how we don't have enough

10:59

compute, how the revenues would not show

11:01

up in this year. You know, but the chaos

11:03

that is American capitalism somehow

11:06

finds a way, okay? And there's

11:08

tremendous demand for Anthropic and we

11:11

find a way. I was so happy to see kind

11:14

of the detente and the kind exchange

11:17

between the team at Anthropic and Elon

11:20

because we need all of this in order to

11:23

produce American frontier models to stay

11:25

at the frontier.

11:27

And then finally I just say, you know,

11:28

Chamath, you referenced these activists

11:30

that are protesting delaying these data

11:32

centers

11:33

in in these localities. One thing I want

11:35

to dispel this myth. These This is not

11:37

like organic hyper local protests by

11:40

people in a community that aren't being

11:42

spurred on.

11:43

This is highly organized activists that

11:46

are moving across the country to stir up

11:48

trouble in the exact same way they did

11:51

to stop all fission reactors being built

11:53

30 years ago in America. Now we have no

11:56

nuclear reactors being built. China's

11:58

got a hundred of them. Who was funding

12:01

those activists? I think we need to

12:03

really look into who's funding the

12:04

activists now. I'm not saying that there

12:06

aren't any concerns, but the

12:07

misinformation about water, the

12:09

misinformation about electricity bills

12:12

electricity bills are going up in the

12:14

places that are not building data

12:16

centers. New York and California because

12:18

they haven't built any supply on the

12:21

grid. In Texas, where you're building

12:22

the most data centers in the country,

12:24

electricity costs are going down. So, um

12:27

I'm I I I think that's a boogeyman that

12:28

we got to take on.

12:31

>> Sacks, sure that's

12:33

>> Well, look, the deal is highly

12:35

complimentary as Chamath and Brad

12:37

pointed out. SpaceX has a profitable, I

12:40

think very profitable,

12:42

space and telecommunications Starlink

12:44

business, the satellite business, but

12:47

the xAI business had huge losses. The

12:49

reason's pretty straightforward. You

12:51

need these super large training

12:52

clusters, but they cost a lot of money.

12:54

And until you have a model that's

12:56

capable of competing at the frontier,

12:57

you're not making any revenue. And that

12:59

problem was compounded by the fact that

13:01

right now all the revenue is in

13:02

enterprise, which is to say coding. We

13:04

know that xAI just did that deal with

13:07

Cursor to try and catch up, but they

13:09

don't have a coding product yet. So,

13:11

they're not participating in the

13:12

revenue, but they're participating in

13:13

all of the cost. So, this deal fixes

13:15

that problem.

13:17

Elon's now able to have a frontier model

13:20

company, but he's able to now not have

13:23

these massive unpaid for CapEx

13:26

commitments, right? Because he's able to

13:27

kind of lease that capacity. So, I think

13:30

it solves a major problem for them and

13:32

their balance sheet. And then you have

13:34

to say that for Anthropic, this is a

13:36

really great thing because they were

13:38

compute constrained.

13:39

And just to build on that point, I mean,

13:42

I guess let me be the first to

13:43

congratulate Dario on winning the AI

13:45

race.

13:46

>> And you've been Let's be honest, Sachs.

13:48

You have been

13:50

on this podcast, you've been moderately

13:52

critical of that company and Dario

13:54

himself for being um you know, a little

13:58

P-doomer 110. And on your X account,

14:00

you've been even a little spicier. So,

14:03

now that there's peace in the Middle

14:04

East of

14:06

of the AI business, what's your take

14:08

here?

14:09

>> My take is, look, let's just honestly

14:11

and accurately assess where the state of

14:14

this AI market is at right now and

14:16

Anthropic's place within it. So, for the

14:18

last 3 years, Anthropic has been growing

14:21

at a rate of 10x a year.

14:23

I think going into this year,

14:25

probably the conventional wisdom was

14:27

that there'd be no way to sustain that

14:29

kind of rate of growth at this level of

14:31

scale. And what happened in the first 4

14:33

months of the year? First, we find out

14:35

that from January 1st to March 31st,

14:37

they grew from roughly 10 billion of ARR

14:40

to 30 billion. So, it tripled. And then

14:42

in April, if anything, the rate of

14:44

increase seemed to accelerate. They went

14:46

from 30 to 44 billion of ARR. Nobody in

14:50

Silicon Valley has ever seen anything

14:52

like it. Forget about the rest of the

14:53

country. I mean, all we do in Silicon

14:55

Valley is deal with exponentials, and

14:57

still people have never seen that kind

14:59

of growth at that level of scale.

15:01

The only thing holding them back in the

15:03

future was compute. Now they've made

15:05

this deal. They've made other deals as

15:07

well to get that compute. I think it's

15:09

pretty much a foregone conclusion that

15:10

they will hit that forecast of 10x this

15:13

year, exiting the year at call it

15:14

roughly 100 billion of ARR. And now the

15:17

only question is whether they hit a

15:19

trillion

15:20

in 2027.

15:22

And we can debate whether that's

15:24

>> on board.

15:25

>> No, we can't we can debate whether

15:26

that's true or not. But look, if they do

15:28

that,

15:29

I think they'll easily be the most

15:31

valuable tech company in history. In

15:33

fact, they might even be more valuable

15:35

than the rest of the Mag 7 put together.

15:37

Just to give people some basis for

15:39

comparison here. You know, the biggest

15:41

tech companies Apple,

15:42

>> Nvidia,

15:43

>> Nvidia, Google. I think they they kind

15:45

of do around 4 to 500 billion a year

15:47

right now

15:48

of of revenue. I mean, I guess Nvidia's

15:49

a little bit of a different category,

15:51

but you look at you look at Google.

15:53

>> the three

15:53

>> The hyperscalers, yeah. I mean, Google

15:55

is doing what? Like 120 billion a

15:58

quarter? Something like that. 100

15:59

billion a quarter.

16:00

>> Correct.

16:01

>> But growing at what? 20% year over year?

16:03

Not 100% and certainly not 1,000%.

16:06

So, the fact that Anthropic could be on

16:09

track, in fact, let me correct that.

16:11

>> them going to the Mag 8? It'll be a Mag

16:13

8.

16:14

>> I'm saying something else, which is that

16:17

unless something about their current

16:19

trajectory

16:21

changes,

16:22

Anthropic will be the most powerful

16:24

monopoly ever created in human history.

16:27

>> Go.

16:28

>> Again, it will be, you know, a trillion

16:30

dollars of ARR growing at some

16:32

exponential

16:33

>> Interesting.

16:34

>> Dario calls it AGI. I call it the

16:36

biggest monopoly in human history.

16:38

>> Interesting to hear that word monopoly,

16:40

Sacks. Very interesting placement.

16:42

Chamath, go ahead and then I'll move on.

16:44

>> Apple in 2025 was 420 billion.

16:48

Microsoft was 300 billion. Alphabet was

16:51

390 billion. Amazon 700 billion. Nvidia

16:55

190 billion. Meta 185 billion. Tesla 110

16:59

billion. Total

17:00

about 2.3 to 2.35 trillion. So, if Sacks

17:03

is right

17:04

and Anthropic,

17:06

you know, can tack on a trillion, it

17:09

won't be the Mag 7, it'll be the Mag 1.

17:12

>> Just to put it in perspective though,

17:13

Dario and Dwarkesh said he thought the

17:16

combined AI revenue

17:18

of the market leaders would be about a

17:19

trillion in 2029. I love what you're

17:21

saying, Zach. I think there is unlimited

17:23

TAM. We may be over our skis a little

17:26

bit in terms of, you know, the forecast.

17:28

If you back your way from compute,

17:30

right? They're They expect to have 5

17:32

gigs by the end of this year, 10 gigs by

17:33

the end of next year. It's kind of hard

17:35

to get to those numbers for a single

17:36

company, but I do believe that you know,

17:39

the trajectory that they're on, I

17:41

totally agree with you, is on an

17:42

exponential that not many people

17:45

believed in 4 months ago.

17:46

>> Right. So then the question is, okay, I

17:48

think we all agree they're on an

17:49

exponential curve and that the TAM is

17:51

big enough to support that. Just one

17:53

data point on TAM. My understanding of

17:56

the total market size just on coding

18:00

is 1 trillion, meaning that a trillion

18:01

dollars a year roughly is spent on

18:04

software developers and all things

18:06

related to the creation of software.

18:08

Now, I'm not saying that they eat that

18:09

entire market, but I can easily see the

18:12

market for software doubling.

18:14

>> Well, hold on. It's doubling from a

18:16

trillion to 2 trillion given that

18:19

coding tokens basically 10 X's or 100

18:21

X's the value of that market and the

18:25

ability to generate code. So, I think we

18:27

all agree that the TAM here is large

18:29

enough to support a trillion dollars of

18:31

revenue. Brad, I think you bring up a

18:33

couple of really important constraints.

18:34

First, there may not be enough compute

18:36

and there's not enough energy. I'd say

18:37

the second big one is, what's the

18:39

competitive reaction going to be?

18:41

Because I would say at the beginning of

18:43

this year all these frontier labs were

18:45

playing around with a lot of different

18:46

things. I mean,

18:48

Anthropic was the porcupine. They

18:50

believed in one thing. All these other

18:52

companies were kind of acting like the

18:53

fox who thinks they're good at a lot of

18:54

different things. They were doing nano

18:56

banana, they were doing Sora, they were

18:59

doing, you know, they were doing image

19:00

generation, they were doing fantasy

19:02

character chatbots. In hindsight, they

19:05

were doing a lot of things that appeared

19:06

to be kind of a waste of time. The whole

19:09

market appears now to be coding and the

19:11

things that we built on coding tokens

19:13

like co-work, like agents. And so there

19:16

is going to be a competitive response

19:17

here where all the other guys realize,

19:19

"Oh, wait a second. We were misfocused."

19:21

They're going to get focused. I just

19:23

don't know how much share they're going

19:25

to be able to take. It does look like

19:27

OpenAI has already made the pivot. We

19:29

hear very good things about Codex now

19:31

based on GPT 5.5. 5.5 is based on a new

19:35

base model called Spud. I think they're

19:36

very optimistic about continuing

19:38

improvements. Their rate of growth

19:40

appears to be accelerating now because

19:43

of 5.5.

19:45

So, look, there's reason to believe that

19:47

OpenAI can take some share here. I'm

19:49

sure that Google won't be asleep at the

19:52

wheel. They're very, very good at

19:53

coding. They've got a really good team.

19:54

And Elon just tied up with Cursor. So,

19:56

there is going to be more competition.

19:58

But still, what you have to say,

20:00

and I think all of us know this from

20:02

Silicon Valley, is you always want to be

20:04

the company in the lead that's on that

20:06

trajectory where all you have to do is

20:08

maintain inertia, whereas the other

20:11

people have to change something in order

20:13

to put themselves back in the race. So,

20:15

this is when when I say somewhat sort of

20:18

facetiously, "Congratulations, Dario, on

20:20

winning the AI race." I don't mean that

20:22

he's won it, but he is winning it right

20:24

now.

20:25

>> Well, here's the the brilliance of what

20:26

Elon's doing. If you look at the

20:28

existing business, which is Starlink and

20:30

basically the launch services at SpaceX,

20:33

incredible business, obviously.

20:36

20 billion this year, I think is the

20:37

estimate. But if you look at the

20:38

footprint of Amazon Web Services, Azure,

20:41

and GCP, you're looking at, you know,

20:44

300 billion dollars in revenue

20:48

and a market cap of combined 5 trillion,

20:53

4 trillion if these were independent

20:54

companies. And if you look at what is

20:57

Elon's core competency at Tesla, it's

21:00

building factories. And if you look at

21:02

the footprint of these factories,

21:04

they're huge. What are data centers?

21:05

They're basically big giant factories.

21:07

And then if you look at energy, what

21:10

else is Elon extremely good at? This is

21:12

the battery deployment and he's also got

21:14

solar deployment from the SolarCity

21:16

often criticized acquisition he did

21:18

years ago. So you put this all together,

21:21

if this is 5 billion as I think you

21:22

referenced Brad, if it's $5 billion in

21:25

incremental

21:27

Elon web services business and he's a

21:29

neo cloud,

21:30

what could he build on planet Earth?

21:33

What could he build inside of Tesla's in

21:35

terms of extra compute? What could he

21:37

build inside the power wall? What if the

21:39

power walls had his new fabs in them and

21:41

you built a distributed system from home

21:43

to home? The power wall has compute in

21:46

it, the cars have compute in it and of

21:48

course

21:49

the ultimate manifestation of this where

21:51

nobody can complain is you go right out

21:54

into space. And that's what he's going

21:56

to do and the the sneaky small part of

21:58

this announcement from Elon and from

22:01

Anthropic and Dario was they're also

22:04

interested in space. So look for the

22:06

race to go from factories and data

22:09

centers to homes, the power wall with

22:12

compute in it. It's already online,

22:14

right? And Starlink also gives him the

22:16

ability to do distributed compute to

22:18

people's homes. Again, you could be

22:20

paying people to put power walls with

22:22

computer in it. That's going to be the

22:23

next shoe to drop, I believe.

22:25

>> Did you guys see the deal that was

22:26

announced

22:28

yesterday

22:30

between Pulte Homes, which is a huge

22:31

builder,

22:32

>> Yes. They're doing it as well.

22:33

>> and Span?

22:34

>> Yes.

22:35

>> Nick, just throw this up here. It's

22:36

super cool. What's happening is that

22:37

these guys

22:39

are putting

22:40

many data centers with Nvidia GPU

22:42

clusters

22:44

beside every home and then allowing

22:46

people to actually run those things and

22:47

that's just incredible. I thought that

22:49

was so cool.

22:50

>> It's a great pivot. What this company

22:51

did originally Chamath was they did the

22:53

power panel. They made smart power

22:55

panels. So you know when you flip your

22:56

breakers,

22:57

all those breakers are in an app. I

22:59

looked at it for my house, but I guess

23:00

they pivoted to add this and I think

23:02

Base Power Brad urine industrial unit

23:04

they're going to do the same thing.

23:05

>> Yep, Zach Dell's doing that. One of the

23:07

things I just would say in response

23:08

Jason to what you just said about Elon,

23:10

right? This is why the SpaceX IPO is

23:13

going to trade at 40 to 50 times

23:16

revenue. Okay, so next year if they do

23:18

40 to 50 billion, and this thing goes

23:21

out at 2 trillion, right? That they're

23:23

going to trade at a really high revenue

23:25

multiple compared to the Mag 5 that are

23:28

trading at like 25 times earnings. And

23:30

there's only one person on the planet

23:33

who has a future pipeline of innovation

23:36

and the largest TAM in the world because

23:38

he's playing in all these different

23:39

spaces that can command that multiple,

23:41

and it's Elon, and it's deserved, and

23:44

it's great for the country.

23:45

>> same Tesla's has that same Elon

23:48

variable in it as well, which is people

23:51

value his companies at I would say two

23:53

times market, three times market, four

23:55

times market because of the future

23:56

pipeline. You guys And they devalue

23:58

Apple because they don't have somebody

24:00

like Elon or Steve Jobs there who is

24:02

giving them the future.

24:03

>> I don't think it's devalued. I think

24:04

>> Or properly valued if you don't have an

24:06

Elon and you have somebody like I think

24:08

that's exactly what it is. We talked

24:10

about this last week, but explain why

24:11

you think it's different.

24:12

>> all of these companies are actually very

24:14

fairly valued, and then

24:16

Elon world gets a premium.

24:18

>> Totally.

24:19

>> And that premium is because of what you

24:21

guys said. That I agree with. The big

24:23

message that I take away from this,

24:25

which the markets

24:27

and retail are telling you is

24:29

you guys have stopped innovating.

24:32

There's a lot of incrementalism,

24:34

and we as a society aren't benefiting

24:37

broadly the way that you told us we

24:39

would be.

24:40

And so maybe this is the best way for

24:42

them to get this message, which is to

24:44

whack their valuation. And by the way,

24:46

I'll just say it again, when Tesla and

24:48

SpaceX merge and we have all things Elon

24:51

in Elon Corp, okay, which will happen

24:54

probably by at end of the year, maybe

24:55

it'll happen the middle of next year.

24:59

It's going to then break everybody's

25:00

brains again because you'll have this

25:02

one asset, as you guys said, that will

25:05

trade at a valuation premium. And some

25:07

people will say it's unexplainable. And

25:09

I think it's logically explainable,

25:11

which is everybody else has stopped

25:14

innovating. People know how to draw more

25:16

blood from the stone, how to target

25:19

better ads.

25:21

That does nothing for society anymore.

25:23

>> Yeah. That's it. Literally.

25:24

>> In fact, it does the opposite. It There

25:26

is no good left.

25:27

>> That was literally the exact point I was

25:29

making when you cut me off. If you look,

25:30

Tim Cook's greatest innovation

25:33

Tim Cook's greatest innovation, before

25:35

you cut me off, was Apple TV. Not even

25:37

the hardware product. It was just

25:39

spending money and making a Netflix

25:40

knockoff. There's been no other product

25:42

>> Hold on. Let me finish again before you

25:45

interrupt me making my point.

25:46

>> that? You don't like being interrupted?

25:47

>> Oh, no. Oh, yeah. Well, okay. Okay.

25:49

>> Interesting.

25:50

>> Pot meet kettle.

25:52

If you look at their track record, and I

25:54

think this is why we had a change there

25:57

is they have not done anything

25:59

innovative. And in fact, the things they

26:00

were doing that were innovating in AI or

26:02

self-driving cars, they shut down. They

26:05

won't take any swing for the bat. So,

26:06

they are getting penalized in their

26:08

valuation.

26:09

>> They're just not getting a premium.

26:11

They're not getting penalized.

26:12

>> I think they're getting penalized.

26:13

>> metric, they're trading at incredible

26:15

valuations. Just look at them.

26:17

>> Oh, no. I don't I I mean, if you compare

26:18

the two valuations, I think they're

26:20

being penalized. Anyway, let's Anybody

26:22

else want to get in on this before we

26:23

move on to the next one? Yeah.

26:25

>> There is no world in which Google and

26:27

Meta and Apple and Amazon could be

26:32

viewed as being penalized in valuation.

26:35

There is very clearly a world where Elon

26:37

gets a massive premium because he's

26:39

innovating.

26:41

>> You're saying the same things. You're

26:42

saying the same things.

26:43

>> we're saying the same thing. It's not

26:44

the same thing.

26:45

>> We're I think we're we're debating

26:46

semantics here. I'm not letting you off

26:48

the hook, Saxby poo.

26:51

When Sax is very deliberate in how he

26:53

speaks, they said he's the captain of

26:54

the debate club in his 20,000 word

26:56

article this week and that he's a master

26:58

debater. He's a masturbator. And

27:01

you slipped in you slipped it in.

27:04

Are you saying that the FTC or whoever

27:07

should be going in and looking at

27:09

Anthropic? Oh, Brad's book is getting

27:12

attacked headwinds. You said they're a

27:13

monopoly or they're heading to monopoly

27:15

tactics Sacks is are that what you're

27:17

saying?

27:19

>> Well, look, I mean we know that tech

27:21

markets have a history of consolidating

27:25

down and turning into either monopolies

27:27

or duopolies. And if you just look at

27:29

the revenue right now, there's only two

27:31

companies making substantial revenue on

27:35

AI. It's Anthropic and Open AI. We know

27:38

that Open AI is growing at three to four

27:39

X, which is incredible at the level of

27:41

scale they're at. Anthropic though we

27:43

said is growing at an exponential 10 X a

27:46

year. And if they just do that for 18

27:49

more months, they'll be by far the most

27:51

valuable company in human history and

27:53

they'll have unprecedented control over

27:55

the most important technology of our

27:57

time. So, I don't know what you call

27:59

that,

28:00

but it is something to think about. And

28:02

I guess I do have a thought experiment

28:04

for you guys,

28:05

which is

28:07

I just want you to think for a second

28:09

about the case of of John D.

28:11

Rockefeller, who I think is known as

28:14

probably

28:15

the most successful greatest most

28:17

ruthless monopolist in in American

28:20

history. But he wasn't very good at PR.

28:22

He was terrible at PR. Everyone sort of

28:24

recognized how ruthless he is. We see

28:26

movies like There Will Be Blood, which

28:28

is basically about him. In any event,

28:30

imagine if John D. Rockefeller was way

28:32

better at public relations. And instead

28:35

of calling his company Standard Oil, he

28:38

called it Safe Oil. Okay, let's just

28:40

let's just play this thought experiment.

28:42

>> Clean beautiful coal. Yes.

28:43

>> Safe oil. He called it safe oil because

28:46

as we know kerosene is dangerous. Their

28:48

first big product was kerosene. And

28:51

kerosene can light your house or it can

28:52

burn it down.

28:54

And in the wrong hands, it can torch a

28:56

city or you can use it to make a bomb.

28:59

So, John D

29:01

let's say should have called for the

29:03

creation of a new government agency to

29:05

regulate the safety of his product. And

29:07

they could have done rigorous testing,

29:09

licensing, common sense regulation.

29:11

There would have been a very intense

29:12

debate over safety standards.

29:15

You know, what should the proper wick

29:16

thickness be? And should we allow all

29:18

those

29:20

dangerous independent refiners, right?

29:23

And I think people would have gotten so

29:24

wrapped up in this debate over what

29:26

constituted safe oil or safe kerosene

29:30

that they would have missed what was

29:31

really going on, which is that

29:33

Rockefeller was building the richest,

29:34

most powerful monopoly of all time. In

29:36

fact, people might even have called

29:38

Rockefeller an effective altruist

29:41

because of course he was so concerned

29:43

about the safety

29:45

of his product.

29:46

>> it. Shout out to David Sacks and

29:48

writers. Great, great, great [laughter]

29:50

writers.

29:50

>> Newman? Newman wrote this?

29:52

>> No, I wrote it.

29:53

>> Well, Emmy award for best writing in a

29:55

dramatic monologue goes to Newman. Wow,

29:58

Sacks.

29:58

>> No, that's my writing.

29:59

>> You landed it. Very good, Sacks.

30:01

>> I thought after the Elon Anthropic

30:03

detente where Elon said, you know,

30:05

complimented Anthropic that and David

30:08

started off with a bit of a compliment,

30:09

I thought we maybe were past this.

30:11

First, it's ridiculous to think of this

30:12

as a monopoly. You know, we're talking

30:15

about annual run rate revenues, David,

30:17

but on a GAAP basis, they're doing about

30:19

the same revenue as OpenAI in the month

30:21

of March. Okay? So, we're way ahead of

30:23

ourselves. By the way, 5 months ago,

30:25

everybody thought OpenAI was going to

30:27

run away with this. Google's revenues

30:29

are very substantial in AI. And by the

30:31

way, Google, Amazon, etc., these

30:34

companies are producing $100 of free

30:36

cash flow to justify their incremental

30:38

investment. At the same time, you have

30:40

these two startups that are still

30:42

fledgling, that are still fragile in the

30:44

scheme of things,

30:45

you of all people should know we've got

30:47

the best competition in AI on the

30:49

planet, which is why we're at the

30:51

frontier and kicking the tail of

30:53

everybody else on the planet. So, I just

30:55

want to see these companies compete. I

30:57

want to see DC stay out of the way. The

30:59

last thing I want to be doing is is is,

31:02

you know, seeing people talk about this

31:04

and throwing roadblocks into the way of

31:05

the competition.

31:06

>> Um I think Anthropic is

31:08

>> Well, let me let me hold on. Let me

31:10

>> Translate Brad for you. Don't with

31:12

my paper is what he's saying. He's

31:13

[laughter] got bets on these. So, Sax,

31:16

Washington, D.C., don't with Brad's

31:18

paper. Sax, uh you want to get into the

31:21

uh regulation stuff right now as a segue

31:23

or

31:24

>> Let me respond to Brad and also

31:25

translate what I'm saying satirically,

31:27

okay?

31:28

>> Satirically.

31:29

>> First of all, nobody wants to see these

31:32

companies compete vigorously more than

31:35

me. That was the whole premise

31:37

of the action plan that we worked on

31:39

last year is we want to bring out the

31:41

best in everyone. This is how America's

31:43

going to win the AI race. We have five

31:45

major labs vigorously competing.

31:48

And as long as that competition is

31:49

taking place, that I think that's a good

31:51

thing. Doesn't mean we can't have

31:52

guardrails and the rest of it, but

31:53

basically, competition should be our

31:55

North Star.

31:57

All of that being said, okay, what I am

31:59

pointing out and I I think it's

32:01

historically true

32:02

that people in Washington have woken up

32:05

to monopolies

32:07

on the late side, not early, right?

32:09

Because I mean, once a company has won

32:12

80% of the market, that's when they wake

32:14

up and say, "Oh, we have a monopoly

32:15

here."

32:16

And I'm not saying that they have a

32:18

monopoly yet, but if the trajectory

32:20

continues for just 18 more months,

32:23

then I think it will be in this

32:25

unpresently powerful position.

32:28

>> I mean I mean

32:28

>> And and hold on. And I don't think

32:31

people should be distracted from that

32:32

fact

32:34

by this rhetoric around safety because

32:36

someone like Rockefeller could have used

32:38

it, too.

32:39

And I do think let me just like one one

32:42

last point on this. I do think that if

32:43

you actually look

32:45

at what a lot of the the safetyist

32:48

policies are calling for,

32:50

they're basically calling for a form of

32:51

regulatory capture and they're calling

32:53

for things that would create a stronger

32:55

moat around this monopoly or duopoly

32:58

that's in the process of being created

33:00

and it would get in the way of

33:02

competition. So again, I think that

33:05

people

33:06

might not have such a terrible view

33:08

of all of this safety rhetoric if they

33:10

understood

33:12

that what was being created here is the

33:13

biggest monopoly in human history.

33:16

And I think we should just be a little

33:17

bit more skeptical about some of these

33:19

altruistic claims. I can't believe that

33:22

David is like you know, talking

33:25

monopolies when we haven't even left the

33:27

starting gate

33:29

of AI. I I I I think this is a uh

33:34

to me

33:34

>> There's only two companies with revenue.

33:36

>> thing I want is DC trying to

33:38

preemptively preemptively, which would

33:41

be like a disastrous consequence, get in

33:44

the game of picking winners and losers

33:46

at the starting line of AI. That would

33:48

be a disaster.

33:49

>> Brad, did you just put another soapbox

33:51

on top of the soapbox you were standing

33:52

on?

33:53

>> [laughter]

33:54

>> Look Brad, like I said, my North Star is

33:57

competition. As long as there's

33:58

competition going on, I support it.

34:01

Hold on. Hold on. We know that

34:03

monopolists want to stop competition and

34:06

they use regulatory capture to do it.

34:08

And furthermore, they do things like ban

34:10

their competitors from using their

34:11

product. What conceivable reason

34:14

did Anthropic have for banning open claw

34:17

using its models? That is

34:18

anti-competitive. Is it not?

34:21

>> I I I would double click on it. I would

34:23

double click on it. I might not, you

34:24

know, file, but I would double click.

34:25

Okay, listen. Chamath, the girls are

34:28

fighting. Let's keep moving through the

34:29

docket. We're going to be here all day

34:31

with these two and one thing that you're

34:34

going to need to act on very quickly is

34:36

the All-In Summit. It's selling out

34:37

fast. Don't miss it. Speakers are top

34:39

tier again. Freeberg busy working on

34:42

some amazing speakers. Sachs will be

34:43

there. He's flying in and out every day

34:45

for 4 hours and then

34:47

>> [laughter]

34:47

>> we're

34:48

we're going to have a lot of networking

34:49

stuff going down. We're building some

34:50

networking software. So, when you come

34:52

to our events, you get to meet people.

34:53

That's what we always say. My playbook

34:55

for events, if you learn something from

34:58

the speakers every day, one or two

34:59

things, if you meet somebody new and you

35:02

eat some great food and have some fun,

35:04

you get two or three of those things,

35:05

man, even if you get one, you're going

35:06

to come back to the event. You're going

35:07

to get all three all day long.

35:10

allin.com/events Los Angeles September

35:12

13th, 14th, and 15th. Apologies to

35:15

everybody asking, but liquidity is sold

35:17

out and we've shut down the waitlist.

35:19

There's just no more room. All right,

35:20

the White House allegedly possibly is

35:24

considering, according to reports,

35:26

an FDA for AI. That would vet You heard

35:30

that correct, folks. That would vet new

35:32

models for safety. The thing we've been

35:35

talking about not doing here. The thing

35:37

David Sacks has spent the last year on.

35:39

The White House is considering. New York

35:41

Times reported Trump is considering an

35:43

executive order to create an quote AI

35:45

working group. This group would include

35:47

tech execs and government officials who

35:49

would quote examine potential oversight

35:52

procedures

35:54

including quote a review process for new

35:57

AI models. Oy. According to the report,

36:00

the catalyst was wait for it,

36:02

Anthropic's model,

36:05

which reportedly scared, spooked, made

36:07

people really nervous at the White

36:09

House. Quote, the White House wants to

36:11

avoid any political repercussions if a

36:14

devastating AI-enabled cyberattack were

36:17

to occur. They want to see why A,

36:19

according to the New York Times. Kevin

36:21

Hassett, that guy, the director of the

36:24

National Economic Council confirmed the

36:26

report on Fox Business. Here's your

36:27

15-second clip.

36:29

>> We're studying possibly an executive

36:31

order to give a clear roadmap to

36:33

everybody about how this is going to go

36:35

and how future AIs that also potentially

36:37

create vulnerabilities should go through

36:40

a process so that, you know, they're

36:42

released into the wild after they've

36:44

been proven safe, just like an FDA drug.

36:46

>> Additionally,

36:48

friend of the pod,

36:49

Scott Bessent, had something to say.

36:51

>> had in the past month was a step change

36:55

in the power of one large language

36:57

model, but we're going to see it from

36:58

the other

36:59

AI companies. What we are determined to

37:02

do is work with our AI companies to

37:05

allow them to continue innovate, but our

37:08

charge of the US government is

37:09

maintaining safety, and there there is a

37:12

very important calculus here between

37:15

innovation and safety, and at the the US

37:18

government, we're going to make sure

37:19

that things stay safe.

37:20

>> There you go. Kevin Hassett and

37:23

Bessent.

37:24

Slightly different positions here, Brad.

37:26

What do you think?

37:27

>> Actually, I don't think they're slightly

37:28

different positions, but I I I would

37:30

agree that Kevin bringing up the FDA

37:32

kind of muddied the waters. I talked to

37:33

Kevin last night after that clip ran.

37:37

You know, and I asked him. I I just

37:38

said, "Do you think FDA is the right

37:40

analog here?" And he said, "You know, I

37:42

was I was only bringing it up to say

37:44

that they we want them to show us the

37:45

models so that we can coordinate them.

37:47

Obviously, our job is to make sure that

37:50

the government is prepared, that we

37:52

harden our systems, that our

37:54

intelligence agencies are up to speed,

37:56

but he does not think and I can't find

37:57

anybody

37:59

on the right

38:00

you know, that believes that we're going

38:02

to move to an approval regime, right?

38:04

The approval regime, this idea that

38:06

you're going to have to share every

38:08

model with an FDA in Washington, and

38:10

they're going to have to pre-approve the

38:12

model is a disaster. Sachs has been

38:14

effectively fighting against this

38:16

correctly over the course of the last

38:18

year. It would just it would lead to

38:20

three bad things. Number one, we do not

38:22

want to put the Washington in in the

38:24

position of picking winners and losers

38:25

when it comes to these models. We're

38:27

winning. We're on the winning horse in

38:29

America. We're out in front of the rest

38:31

of the world. There's no reason to

38:32

change horses and regimes at this point.

38:35

And we don't want to burden this with

38:36

more democracy. But at the same time,

38:39

obviously, I call these pre-AGI or AGI

38:41

models, Mistral, Spud, etc. I see a lot

38:44

of coordination going on between the

38:46

industry and government. I think we can

38:48

do an even better job of a evolving that

38:50

framework so that everybody in

38:52

government is on the same page. We need

38:54

to build more capacity in government to

38:56

quickly be able to do the cyber review

38:58

on these models. Right now, it takes too

39:01

long when the coordination does occur.

39:03

So, we need to have a finite amount of

39:04

time that they give government feedback,

39:06

etc.

39:08

But the last thing that we want is an

39:09

FDA of models sitting in Washington.

39:12

Kevin understands that. Scott Bessent

39:14

understands that. So, I expect that we

39:16

will continue down the path that we've

39:18

been on. Chamath, obviously, I think we

39:21

all agree we don't need an FDA for AI,

39:23

but

39:25

there are things that a reasonably

39:27

people would want to have guardrails

39:30

around AI. I'm sure you would agree. It

39:32

shouldn't be a total free-for-all. So,

39:34

what's your take on this? Is it just

39:37

somebody gave a bad analogy here? Or

39:39

maybe some people were weaseling their

39:41

way into the White House to try to shift

39:42

things when Sachs was back at home or

39:44

something? What what's going on here?

39:46

Give us the uh Cuz that's what I That's

39:48

what people say. They say the last

39:49

person to talk to Trump kind of has his

39:52

ear and that things can bend a certain

39:53

way.

39:55

>> I don't think it's that. I think that

39:56

there's a pretty profound vibe shift

39:59

with respect to tech tech oligarchs,

40:03

Silicon Valley, and particularly the AI.

40:05

That vibe shift has already happened on

40:08

Main Street.

40:10

And I think that that's starting to seep

40:12

into Washington. I think that

40:13

regulations are coming.

40:16

I think they'll be worse under a

40:18

democratic regime,

40:19

but I think that some form of oversight

40:21

is going to exist under a Republican

40:23

regime.

40:25

The question that I think is worth

40:26

asking is why.

40:29

And if you listen to everybody's tone,

40:33

it's all around the negatives of AI.

40:36

So, I think we suffer from two things.

40:38

Number one is we have horrible

40:39

messaging.

40:40

Nobody spends the time

40:42

and the money to articulate the positive

40:46

upside case

40:47

so that there's broad-based support. And

40:50

two,

40:51

the idea that there's going to be a

40:52

Sachs said earlier,

40:54

a few winners and many, many, many

40:57

potential losers,

40:59

I think is really disconcerting to

41:01

everybody.

41:02

And the response from the tech

41:04

community,

41:05

again, should be the leadership of the

41:07

tech world

41:08

coming together

41:10

and actually reinvesting in America writ

41:13

large. They're not doing that in enough

41:15

of a scale that blunts this. So, what

41:18

you're seeing is the build-up of

41:19

antibodies.

41:20

Is it avoidable? Yes.

41:22

Are we doing a good job of avoiding it?

41:25

Absolutely not. We're doing a horrible

41:26

job. I'd give the community, the tech

41:28

leaders, a D- minus

41:30

trending to an F.

41:32

The response is what we're seeing. So, I

41:34

think the question, Jason, isn't

41:37

regulation, no regulation, it's why did

41:39

we get here?

41:41

And I think we got here because the

41:43

other version, the glass half full

41:45

version, the demonstrated investment,

41:48

the broad-based uplifting of American

41:50

society hasn't happened. And if it has,

41:53

it's been very poorly communicated. And

41:55

so, the response is,

41:56

"Hey, hold on. We're going to give three

41:58

guys trillion-dollar net worths, and

42:01

we're going to allow them to control the

42:02

keys?"

42:03

That's why this is happening.

42:04

>> Exactly correct. And it's very easy,

42:07

Sachs, to imagine all the bad things

42:09

that That happen. Our minds are

42:11

constructed to do that. We're vigilant.

42:13

We look out for the tiger or, you know,

42:15

the tornado to keep ourselves safe.

42:17

Humans have a bias towards safety and

42:21

they're going to think about, you know,

42:22

deep fakes. They're going to think about

42:24

robotics. They're going to think about

42:25

self-driving cars taking people's jobs.

42:27

They're going to think about, you know,

42:28

all the dark things that could happen,

42:30

bio weapons, etc. And we don't have

42:32

anybody out there really talking about

42:34

all the positives that could happen.

42:37

What's your take on

42:39

the palace intrigue we all have here?

42:41

What's going on in the palace, in the

42:44

47th administration, around this debate?

42:47

Who's leading Trump down the path of

42:50

regulation and creating this AI FDA? We

42:54

know you're part of the camp that wants

42:56

to keep this train moving and not

42:58

overregulated, not have regulatory

43:00

capture. Who are the people trying to

43:01

slow this down?

43:02

>> Well, look, I I think there's several

43:04

things going on here. The first one is

43:06

there's a lot of fake news. This whole

43:08

idea of an FDA for AI, I don't think any

43:11

senior official supports it, just like

43:13

Brad was saying.

43:14

I spoke to Hassabis well. That's not

43:16

where his head is at. So, I don't think

43:18

anybody in the administration is saying

43:20

they want an FDA for AI. Certainly, I

43:23

don't think that's the way the president

43:25

thinks about these issues. He's the most

43:27

pro-innovation president we've ever had.

43:29

And the White House Chief of Staff,

43:30

Susie Wiles, just put out a statement

43:31

last night that I think pretty much

43:33

shoots this down. So, I think there's a

43:35

big fake news component. Remember, it

43:36

was not really the White House who was

43:38

saying it was the New York Times.

43:40

>> Mhm.

43:40

>> And really, I think actually Andrew Ross

43:42

Sorkin,

43:43

now I'm not criticizing him, but he's a

43:45

commentator and he's the one who said

43:47

this first and then somehow that spin or

43:50

that gloss

43:52

somehow took on a life of its own. And I

43:54

think

43:55

Silicon Valley reacted accordingly.

43:57

There's a very visceral negative

43:59

reaction here because we know how

44:00

damaging that would be to innovation.

44:02

But, look, I think the good news is that

44:03

that was fake news. Second,

44:06

I think that there's another thing going

44:08

on, which is a straw manning of what

44:12

the Trump administration did on AI in

44:14

its first year.

44:16

And in the same way that they want to

44:18

spin this FDA for AI, they're also

44:20

trying to spin what we did as this

44:22

completely laissez-faire attitude where

44:25

there'd be no regulations whatsoever, no

44:27

guardrails. It's a way of criticizing

44:29

what we did. They're trying to portray

44:31

it as unsafe. In fact, if you look on

44:34

March 20th, White House released

44:36

a national AI regulatory framework that

44:39

I worked on,

44:40

in which we put out a four-page bulleted

44:42

list of legislation that we would

44:44

support if Congress wants to pass it.

44:48

So, we have not been against every

44:51

conceivable regulation or every

44:53

conceivable law. We just believe that

44:55

there should be specific solutions to

44:57

specific problems, as opposed to a giant

45:00

power grab by Washington that would

45:02

squash innovation. So, I think that's

45:04

point number two.

45:06

Point number three is, there is a

45:08

legitimate thing happening here with

45:10

let's call it Mythos or cyber. Okay, we

45:13

know that it's not just Mythos,

45:16

OpenAI now has a model that's just as

45:18

cyber capable as Mythos, and within

45:21

three to six months all the major

45:23

frontier labs, and including Chinese

45:25

models, will have cyber capabilities.

45:28

In response to that, we do need there to

45:31

be a hardening of systems, and we do

45:34

need there to be a scanning of codebases

45:37

to find these vulnerabilities and patch

45:39

them before the hackers do it, because

45:42

the hackers will have these capabilities

45:44

in a matter of months. That's a

45:46

certainty. Because the same capabilities

45:48

you use for cyber defense can also be

45:50

used for cyber offense. It's the same

45:52

tool set. And the open source models

45:54

will have these capabilities anyway.

45:56

>> have it to a certain extent, let's be

45:57

honest. They have 80% of it, 90% of it.

46:00

>> it's simply the case that AI will be

46:02

good at cyber. And so, we do need a

46:04

response to that. Now, my view on what

46:07

should that response be should be first

46:10

of all, we should want the government

46:12

and the private sector to work

46:14

cooperatively, and I think they are. We

46:16

have a giant cybersecurity industry in

46:19

the United States whose sole job it is

46:22

to protect systems and protect against

46:25

breaches.

46:26

>> We have the best companies in the world

46:27

at doing that. We have CrowdStrike, we

46:30

have Palo Alto Networks, we talked about

46:31

that before. We have the best defense.

46:34

>> Right, exactly. And so, what we should

46:36

be doing, I think, is getting these

46:38

tools, Methos and then the OpenAI model

46:40

and and others like it in the hands of

46:43

our cybersecurity industry. And by the

46:45

way, not just the public companies like

46:47

Palo Alto Networks and CrowdStrike, all

46:49

those certainly. They're two of the most

46:50

noteworthy, but there's also some

46:52

incredibly strong startups on the way

46:54

out.

46:55

>> a long tail of hundreds of companies

46:56

that are doing Yes.

46:58

>> AI-powered pen testing and all the rest

47:00

of it. We need to get these tools into

47:02

their hands as quickly as possible

47:03

because they're a force multiplier. For

47:05

all the companies out there that aren't

47:07

that good at cybersecurity or maybe

47:10

they've got IT departments, they can use

47:12

these companies as vendors. So, I think

47:14

that there is a role for us to play.

47:16

>> Yeah. Do you think that the models

47:18

should

47:20

have a KYC wrapper going forward?

47:22

>> KYC for the audience is know your

47:24

customer.

47:25

>> Yeah.

47:25

>> Yeah, so what really what it would mean

47:26

is that before you can use

47:29

Methos, you have to identify yourself so

47:31

that we can try to know that you're not

47:33

a

47:34

state-sponsored actor or, you know, a

47:37

bad guy.

47:38

>> I think that's the type of thing that we

47:39

should be thinking about. So, first of

47:41

all, I want to say that both Anthropic

47:43

and OpenAI acted responsibly here. No

47:46

one was trying to release these super

47:48

powerful models. So, in a way, all the

47:50

people who are saying that we need

47:52

pre-release approvals for models,

47:54

they're trying to solve a problem that

47:55

didn't exist. Anthropic wasn't

47:57

>> which

47:58

is the ideal situation.

47:59

>> trying to release this. They all

48:00

understood the power and they were all

48:02

acting responsibly.

48:03

>> They understood the ramifications,

48:04

because they would have been sued. So,

48:06

there is a self-policing going on here,

48:08

which is the ultimate way to do this.

48:10

>> Yes. And but to your point, Chamath,

48:11

yeah, look, I think that before giving

48:15

your API for a super powerful model, you

48:17

should not give that to a company or an

48:19

actor you don't know who they are. So,

48:21

yeah, some basic KYC makes sense. They

48:23

should know who they're giving these

48:24

tools to. And I guess my view on the

48:26

Mythos preview and whatever the

48:28

equivalent is of what Open AI is doing

48:31

is that we very rapidly need to get

48:33

these tools into the hands of more good

48:35

guys. You need to know who those good

48:37

guys are. You need to know who they are.

48:39

So, yeah, KYC is like a predicate for

48:43

that, right? You got to know who they

48:44

are.

48:44

>> Just to be clear, we'd all agree that if

48:46

you did have identity for those frontier

48:49

models, which they're probably doing

48:50

anyway right now, and you logged what

48:52

people were doing with them to look for

48:53

security breaches, that wouldn't

48:54

necessarily happen when you released it

48:56

to the public because of privacy issues.

48:58

Here's your Polymarket

49:00

for Trump ordering a federal review of

49:02

AI models by May 31st, 21% chance. I

49:06

think

49:07

to our partner at Polymarket, man, I I

49:09

got to get in here. I don't Do I have

49:11

inside information here being

49:13

the world's greatest moderator on this

49:14

podcast or I can Can I collect this

49:15

money, Chamath? What am I going to do

49:16

here?

49:17

>> I would not Do not Do not place a bet, J

49:19

Cal.

49:20

>> Don't place a bet.

49:21

>> Don't place a bet. But

49:23

to Chamath's point, I mean, look, I

49:24

think we're kind of work shopping this

49:25

in real time.

49:26

>> We are. We should say

49:27

>> I think that I think that for the

49:28

preview period, we should definitely

49:29

have KYC.

49:31

Maybe

49:31

>> logging? What about logging?

49:33

>> Well, look, once you're past the preview

49:34

period and it's in general release,

49:37

I'm not sure if the KYC matters as much

49:39

because so many people are going to have

49:40

it. But during the preview period, there

49:42

should be KYC.

49:43

>> Let me Let me just say one thing. All

49:45

the labs are already tracking API use,

49:48

okay? And anything suspicious, because

49:50

they they're they're there are major

49:52

anti-distillation efforts going on by

49:54

all the labs. There's a ton of

49:56

coordination going on with the

49:57

government. There's way more happening,

49:59

I think, in terms of our API and API

50:02

use. Um and anything suspicious is being

50:05

flagged

50:06

and being shared with the government.

50:07

So, the idea that we have no idea who's

50:09

doing it, I think, is not the case. And

50:12

in fact, in some cases, we may want to

50:15

allow people to use it so that we can

50:17

see exactly the types of things that

50:18

they are extracting. So, I would just I

50:21

would say we're already down that path,

50:23

but better coordination

50:25

may may may, in fact, be called for.

50:27

>> Yeah. And just one last point in this

50:28

whole thing is I just want to build on

50:30

my point that pre-release approvals are

50:32

solving a problem that didn't really

50:33

exist because, again, Anthropic and

50:35

OpenAI weren't trying to release these

50:36

models yet is that there is a

50:38

substantial faction of, let's say, AI

50:42

ideologues or doomers who

50:45

are basically employing the classic

50:47

never let a crisis go to waste strategy,

50:49

right? That, yes, we do have this cyber

50:52

issue that is real. You know, everyone

50:55

needs to harden their systems now over

50:57

the next three to six months. That is a

50:58

real issue.

51:00

But that is a problem that we will solve

51:02

over the next six months. We have to.

51:03

But what they're trying to do is use

51:05

that issue to try and create a permanent

51:09

new infrastructure in Washington. Again,

51:11

I don't think the That's not the

51:12

administration's intention. That's not

51:14

the administration's agenda. But you saw

51:16

a lot of people

51:18

on social media, a lot of the think

51:19

tanks, and even Bernie Sanders weighed

51:21

in. And he said, "For the first time, I

51:23

like something that

51:25

>> This is great.

51:26

The administration understands the 1% of

51:29

the 1% tax, and everybody understand

51:31

that this is out of control. The AI is

51:33

going to take the jobs. They're going to

51:34

take my summer home. It's going to be

51:36

terrible."

51:37

>> So, there are people who have this

51:38

agenda. Look, Bernie Sanders just wants

51:40

to stop the progress. I mean, he's

51:41

>> Of course, I do.

51:43

>> He wants to ban data centers. He's put

51:44

out a bunch of things.

51:46

>> He He basically has bought into the

51:47

whole doomer narrative. So, look, that's

51:50

why he likes the FDA

51:52

idea is because it would put the kibosh

51:55

on innovation.

51:56

>> already. Let's give Let's have a go back

51:57

to paper and pen. It was a better

51:59

society, Sachs.

52:00

>> Jason, what do you think?

52:01

>> I think there's two really interesting

52:03

things I want to build on here. The

52:04

first is your point, Chamath,

52:06

around how do we turn around the sort of

52:10

bad vibes around AI? I think we have to

52:13

have two strategies here. One is giving

52:16

what you've been working on, Brad, with

52:17

your project. We should see more people

52:19

giving. There's no reason why Nvidia,

52:22

SpaceX when they go public,

52:24

Anthropic when they go public, OpenAI if

52:27

and when they go public or if they

52:29

become stay as nonprofit, there's no

52:31

reason those folks in an IPO couldn't

52:33

give a portion of the IPO to every

52:35

American citizen. So, IPOK, IPO for

52:38

kids, they all take, you know, whatever

52:40

it is, 5%, 1%, whatever they choose, and

52:43

they put it into the Invest America

52:45

accounts. And we should see some major

52:47

giving from the people who are becoming

52:50

trillionaires, hundred billionaires,

52:52

whatever it happens to be. There's no

52:53

reason not to. But those people haven't

52:55

been doing that. We had this giving

52:56

pledge, which was a little bit of virtue

52:58

signaling, and it wasn't real. It was

53:00

just, you know, at the end of your life

53:01

you promised to give away half your

53:02

money. So, let's have something real.

53:03

Let's have something where, you know,

53:05

people say I'm going to give away 1% of

53:06

my stock over the next 20 years of my

53:09

life. Every year 1% will go into Invest

53:11

America, whatever it is. It won't cost

53:13

anybody anything. You can't spend this

53:14

money, whether it's Bezos or whatever.

53:17

Second,

53:18

and that same thing in terms of giving

53:20

back, we have not talked about how

53:21

massive this could be for health and

53:24

extending people's life and reducing

53:25

suffering. We need to work on that.

53:27

That's where contributions to basic

53:29

science could come in, and obviously

53:31

education and lowering the cost of

53:32

education. And if you look at what

53:35

Americans on the bottom have, you were

53:36

talking about the, you know, cup half

53:38

empty. There's really two or three

53:40

things they really feel anxiety about.

53:43

One of it is income, and the second is

53:46

health care.

53:47

And on the margins, housing and their

53:49

kids, you know, their kids' education

53:51

and the cost of those things.

53:52

We should really take a look deeply at,

53:55

and I know this is very unpopular

53:56

amongst capitalists, including myself.

53:58

We should really look at the minimum

53:59

wage and study what happened in New

54:01

Zealand, Sweden, Switzerland,

54:04

Australia when they raised it. What

54:06

actually happened when they raised it

54:07

and there was a lot of hand-wringing

54:08

about it. But when they slowly raised it

54:09

what they found was those consumers

54:11

don't save money, they spend it. They're

54:13

always behind the eight ball in terms of

54:15

their spending. We should opt in to

54:17

trying to raise the minimum wage company

54:20

by company by company and just give

54:22

people who are at the end of the

54:24

spectrum that understanding that, "Hey,

54:26

year over year, whether it's Amazon or

54:29

Target, etc., restaurants, we're all

54:32

collectively going to add a little bit

54:34

to that minimum wage and try to lift the

54:36

bottom third of society." That's the

54:38

stuff we're not talking about. We don't

54:40

talk about it here on this podcast, we

54:41

don't talk about universal health care,

54:43

we don't talk about the minimum wage,

54:44

but that's what capitalists should be

54:45

talking about. And if we did that, if we

54:48

increased the minimum wage, and I'm not

54:50

a socialist, I'm a capitalist who thinks

54:51

this is good for capitalism. If we

54:53

increased the minimum wage just modestly

54:55

each year

54:56

and we opted into doing that and we

54:58

figured out a way to give universal

54:59

health care, companies wouldn't have to

55:00

deal with universal health care and we

55:02

would have customers, and we're a

55:03

customer driven economy. Like 60, 70,

55:06

80% of what happens in this country is

55:08

driven by the consumer. We need consumer

55:10

spending. It's great for companies if we

55:13

had more people being able to buy

55:15

Netflix or order on Amazon. Anyway,

55:17

that's my that's my TED Talk. Thanks for

55:19

coming. How do we get from AI to the

55:21

minimum wage? I'm still a little bit

55:23

confused. I don't know. No, the black

55:25

eye we have in this country with

55:27

polarization of wealth and people scared

55:29

of losing their jobs. We We should look

55:30

at why are they scared, David? And I've

55:33

talked to you privately and you said to

55:35

to privately, you can strike this if you

55:36

want, But, you said to me privately, you

55:38

wouldn't be against necessarily figuring

55:41

out a way to you do universal health

55:42

care if there was a way to do it. You

55:44

want to see every human have health

55:46

care, yes?

55:48

>> Sure. I mean, the issue is not the

55:50

desirability of it, it's the cost. I

55:52

mean

55:53

>> So, you're the real entrepreneur of our

55:55

time. How would you do it? Have you

55:56

given any cycle to it?

55:58

>> I haven't studied that issue, so I don't

56:00

know. I just know that

56:01

countries

56:03

I remember what P.J. O'Rourke once said,

56:05

which is if you think health care is

56:06

expensive now, just wait until you make

56:08

it free.

56:10

>> [laughter]

56:10

>> And

56:11

uh so, you take away all the incentives,

56:13

and you have a even bigger problem.

56:14

>> Well, what do you think of minimum wage?

56:15

Yeah, go ahead.

56:16

>> Well, let me just Can we just get back

56:17

to AI? Listen, you guys are right about

56:20

the unpopularity of AI. We've all seen

56:21

those polls, but I want to just put up

56:23

this additional poll that came out about

56:27

the salience of this issue, which is how

56:29

important do people think it is.

56:31

And AI ranked 29 out of 39. So, although

56:34

AI is not very popular, it is certainly

56:37

not top of mind for voters. It's not in

56:39

the top 10 issues. It's not in the top

56:41

20 issues. What is top of mind for

56:43

voters? Number one, cost of living.

56:44

Number two, the economy. And we know

56:47

that AI is deflationary. It helps with

56:50

the cost of living, and it's creating an

56:53

economic boom right now, okay? It's 75%

56:56

of GDP growth in Q1. By the way, that

56:58

that economic growth is not just limited

57:00

to startups in Silicon Valley. We're

57:02

seeing a construction boom. We're seeing

57:03

a blue collar boom. We're seeing 25 to

57:06

30% wage increases for uh construction

57:09

workers.

57:10

>> And so on down the line. So,

57:12

>> And Brad, if you if you look at that

57:13

chart, there's health care in there,

57:14

too.

57:15

>> So, look, my point is that AI may not be

57:17

popular, but the effects of it actually

57:20

are popular if the media would honestly

57:22

report what was happening, which is AI

57:25

is creating an economic boom right now.

57:27

>> It couldn't be better said, David. You

57:29

know, Bernie Sanders calling for a

57:31

moratorium, shutting down all data data

57:33

centers. We'd have negative GDP growth

57:35

this year. The stock market would be

57:37

down 15 to 20%. Unemployment would be on

57:40

the rise. You know, there is a

57:41

consequence to the government

57:43

controlling through command and control

57:45

the economy. In 1929, we had 4%

57:48

unemployment. 3 years later, it was

57:50

unemployment was 23%

57:52

because government got involved in

57:54

regulating everything and shutting down,

57:56

you know, what was working. That is the

57:58

greatest threat we have here. AI is

58:00

delivering huge net benefits today in

58:02

terms of unemployment rate, in terms of

58:04

economic growth and productivity growth.

58:06

We need to tell the story. But, to

58:07

Chamath's earlier point, we also need to

58:09

deliver net benefits. Jason, thanks for

58:12

the shout-out. Yes, every American

58:14

having an investment account that

58:15

compounds with the upside of AI, we're

58:17

going to do that. Going to deliver that,

58:19

and that's going to be massive. But, I

58:20

also think ideas like, if we're going to

58:23

put a data center in Abilene, Texas,

58:25

let's make electricity in Abilene free

58:27

for the households in Abilene, Texas,

58:29

right? There are ideas that can deliver

58:31

net benefits. We got to deliver those. I

58:33

think we're Optimism will be on the

58:35

march. I think we're in the trough right

58:37

now.

58:37

>> What's your take on minimum wage and,

58:39

you know, how do you think about it as a

58:40

capitalist, as an innovator, and in the

58:41

face of AI, which could have a dramatic

58:42

impact on these issues? You know, like

58:42

Zach's, I I you know, to me I haven't

58:43

spent a ton of time thinking about those

58:44

except that as a society, we're $38

58:45

trillion in debt. We haven't been able

58:45

to afford to deliver those things. I

58:46

generally think the market works out

58:47

those

58:48

You know, like Zach's, I I you know, to

58:50

me I haven't spent a ton of time

58:51

thinking about those except that as a

58:53

society, we're $38 trillion in debt. We

58:55

haven't been able to afford to deliver

58:57

those things. I generally think the

58:59

market works out those

59:01

issues better than the government

59:02

top-down trying to, you know, the

59:04

government gets more and more involved

59:05

in healthcare, and the only thing that

59:06

happens it gets more expensive. So,

59:08

we've all seen the charts of the most

59:09

expensive categories where we've had

59:11

inflation, education, healthcare, etc.

59:13

It's where the government's involved. I

59:15

actually think if you just let the

59:16

markets work, we're entering into an age

59:18

of abundance. A lot of these problems

59:20

are going to be solved. People are going

59:21

to have a lot of AI coaches in

59:24

healthcare and education, etc. Let the

59:26

market work. Government stay at bay,

59:28

keep things safe. We're on a good march.

59:31

>> I think this

59:32

proves my point perfectly. If you talk

59:34

to any founder, they're not thinking

59:35

about housing, they're not thinking

59:37

about higher education costs, they're

59:39

not thinking about minimum wage, you

59:41

know, and they're not thinking about

59:42

healthcare all that often. Some Some do

59:44

though, there's some innovation there.

59:45

And it's because it's so regulated that

59:48

entrepreneurs and VCs are just like

59:49

that's Kryptonite, the government has

59:51

poisoned the well, we can't participate

59:53

in that. And that's the roadblock and

59:54

that's where Americans are suffering and

59:56

that's where it would be great if

59:58

founders actually put their minds to it

59:59

and the government's got to get rid of

60:01

all that regulation and let us cook in

60:03

those specific verticals. All right, the

60:05

market is in hyperdrive. Hyperscaler

60:08

revenue has made the markets move up. We

60:12

hit on this briefly, but we didn't have

60:13

you here. Fifth best EB G cloud

60:16

computing on a tear. I referenced it

60:19

earlier, but AWS is now on a $150

60:21

billion run rate. Azure 108 billion, GCP

60:25

Google Cloud 80 billion. There's a

60:27

little bit of fun with numbers there,

60:28

Chris. Azure and Microsoft include some

60:30

of their software products in there and

60:31

Google Cloud includes things like Google

60:33

Office or Google Suite in there.

60:35

But the growth numbers are tremendous.

60:38

AWS, which is the more pure play of the

60:40

three, 28% growth on a very big number.

60:43

Azure 39%, Google Cloud stunning

60:46

everybody with 63%

60:48

growth. It is incredible what the ARR

60:52

numbers are. Google Cloud added 10, AWS

60:55

10, Azure 9.5. So basically 30 billion

60:57

collectively. Jamin Ball, who works for

60:59

you, I think put out some data on the

61:02

Twitter.

61:04

Brad, markets at all times high all time

61:06

highs.

61:08

Mag 7 cooking.

61:11

Uber blowing out growth, Disney blowing

61:14

out growth. The consumer seems absurdly

61:17

strong based on those two bellwethers.

61:20

Tech seems extremely strong based on the

61:22

cloud computing. What's your take on the

61:24

overall market and overall economy?

61:26

Obviously, inflation up a bit, people

61:27

hand-wringing about the never-ending war

61:30

and the cost of oil.

61:32

>> Let's just telescope way out. You know,

61:35

the level of criticism directed to this

61:37

administration, right? Tariffs were

61:39

going to cause hyperinflation, we're

61:41

going to destroy GDP,

61:43

uh conflicts in Venezuela and Iran were

61:45

going to do the same. You know, we've

61:47

heard all of the negative stories, but

61:49

what's happening? Accelerating GDP.

61:52

A 10-year that's sitting at 4.3,

61:54

inflation totally under control. AI, AI,

61:58

AI, compute, compute, compute. We're

62:00

leading the world. It's contributing

62:02

massively, right, to GDP growth in the

62:05

country. We see the S&P only up 8% this

62:08

year, right? So, we're not in the bubble

62:10

territory here. Meta's trading at 17

62:13

times fully taxed GAAP earnings, Nvidia

62:15

at 19 times, Microsoft at 20 times,

62:18

Google at 24 times. And then the memory

62:21

stocks that everybody's excited about,

62:23

we have 25% of our portfolio in SK

62:26

Hynix, five times fully taxed GAAP

62:29

earnings, Samsung six times, Micron

62:31

seven times, right? This is not the

62:34

stuff that bubbles are made of. You

62:36

know, David referenced it earlier, we

62:38

started the year Open AI and Anthropic

62:40

were doing combined about 30 billion in

62:43

revenue, now combined four months later,

62:46

80 billion in revenue. The the policies

62:49

of this administration on the economy

62:52

are working, they're working in in

62:54

spades. Our gap on the rest of the world

62:56

in AI is growing. And so from from my

62:58

perspective, you know, uh you know,

63:01

we've been all in on the market. I

63:02

talked about it earlier in the year,

63:04

we're heavily tilted

63:05

>> you make that switch to go all in on the

63:06

market? Cuz you were bearish.

63:09

>> Uh I'd say toward the toward the end of

63:10

last year, the market had run up a lot.

63:12

We had a lot of these questions. Listen,

63:14

entering this year, there was a huge

63:16

question hanging over the market. Would

63:19

the AI revenue show up?

63:22

If the Anthropic revenues hadn't shown

63:23

up and we didn't see this

63:25

re-acceleration out of the hyperscalers,

63:27

the market would be down 10 to 15%

63:29

because people would say there's no ROI

63:32

on all of this investment in

63:34

infrastructure. Exactly. When I saw the

63:36

numbers start showing up in December and

63:38

into January, we went from medium to

63:41

large in terms of our exposures and 80%

63:44

of our exposures or more have been in

63:46

compute, AI, memory, etc.

63:49

>> And this is why it's great to operate in

63:50

the private market and the public market

63:52

because you can see things in the

63:53

private markets that inform the public

63:55

markets. But, the question remains,

63:57

Brad, how much better would the economy

63:59

have been doing

64:01

you know, as much credit as you're

64:02

giving to the administration if they

64:04

didn't start a $100 billion war that we

64:06

did not need to go into, according to

64:08

all reports, and if we didn't do a bunch

64:11

of tariffs that wound up being

64:13

unconstitutional by the Supreme Court,

64:15

which Trump himself put in. We would

64:18

have been further ahead. That's uh my

64:20

take on it. We would be ripping even

64:22

more if we didn't have those uh silly

64:25

diversions.

64:25

>> It's It's hard to imagine, okay? Just to

64:28

set up again here.

64:29

It's hard to imagine a more Goldilocks

64:32

situation for the United States of

64:34

America. We have reset the table

64:35

geopolitically. The discount rate

64:37

globally is actually coming down, not

64:40

going up, evidenced by markets at

64:42

all-time high and the bond market in

64:43

control. And then, look at the private

64:45

markets. We have multiple

64:47

trillion-dollar companies that have been

64:49

created in the private markets that are

64:51

now coming public. SpaceX coming public

64:54

is going to be a multi-trillion dollar

64:56

you know OpenAI, Anthropic, like at some

64:59

point you just have to acknowledge USA

65:01

is winning. Of course, there are always

65:04

things that we could be doing better,

65:05

but there's not a country on the world

65:07

that wouldn't trade all of its fortune

65:10

for the United States fortune today.

65:12

>> 100% in agreement. American

65:13

exceptionalism as embodied by the great

65:16

companies in America, SpaceX, Google,

65:18

etc. All the ones we've been talking

65:20

here. That is the story and I give

65:23

infinite credit to this administration

65:24

for being business-friendly. I do think

65:26

they've made two critical mistakes. I

65:27

think the tariffs were poorly executed

65:29

and I think we shouldn't have gone to

65:30

this war

65:32

um and we should find a quick resolution

65:34

to it which the administration seems to

65:35

be desperately doing. Sachs, your take

65:37

on the economy.

65:39

>> Well, look, we have an AI boom going on

65:40

right now and I think that's thanks to

65:41

President Trump's policies. Remember,

65:43

the first week he was in office, he

65:44

rescinded the Biden policies on chips

65:47

and models. And what were those

65:49

policies? It was the approval regime

65:51

that we're talking about. Models would

65:54

have to go to Washington to get approved

65:55

if they were trained with some number of

65:57

flops and then every sale of a GPU

66:00

worldwide would have to be licensed from

66:02

Washington unless it fit into some

66:04

narrow exemptions. So, the whole

66:06

approach of the Biden administration

66:08

>> Exactly.

66:08

>> that President Trump inherited was

66:10

everything approved in Washington. He

66:13

rescinded that. He declared that we had

66:14

to win the AI race and he unleashed our

66:17

companies to do that. Now, one other

66:19

really important thing is energy.

66:21

Remember, it was this president, going

66:23

back a decade, who said, "Drill, baby,

66:24

drill." He said, "We have to unleash

66:26

American energy. That's the basis for

66:28

the American economy. It's also the

66:29

basis for AI."

66:31

He also has said that he wanted to allow

66:35

our AI companies become energy companies

66:37

so they could bring their own power to

66:39

these data centers. So, they're not

66:40

drawing off the grid. They're not

66:42

competing with consumers for

66:43

electricity. They're generating their

66:44

own power. And it's thanks to this

66:47

president that we have seen this

66:49

blue-collar construction boom right now

66:52

powering all of this infrastructure.

66:54

What would the alternative been?

66:56

We know. I mean, Bernie Sanders has said

66:58

it. Would have been ban on data centers.

67:00

So,

67:01

>> Yeah.

67:02

>> Right now, Biden has banned data

67:03

centers. It's That would be a much

67:05

a much worse choice. Chamath, I'll give

67:07

you the last word here as we wrap on the

67:10

economy generally.

67:11

>> I think the markets are going to keep

67:13

going up for a while.

67:15

And then at some point they're going to

67:16

go down.

67:18

>> Okay, I wrote it down. Chamath, you said

67:21

markets are up and then eventually

67:23

they're going to come down.

67:25

Those are the two things. Up and let me

67:27

put a U here and then a D here.

67:29

>> It's got the I think you're doing a an

67:31

impression of the taking notes emoji. Is

67:33

that what you're doing?

67:34

>> Yes. Yeah, I just Okay,

67:36

I'll shut down.

67:37

Wow. Thank you for tuning in to All-In

67:39

where you can get your great calls and

67:41

market action advice. It's going to go

67:43

up and then down folks. Act accordingly.

67:45

Good. Chamath, in all seriousness. But

67:47

what what what makes you bullish, you

67:48

know, let's say in the next 6 months, 12

67:51

months catalysts and then what do you

67:52

think the headwinds are as well? Let's

67:53

take the, you know, the short to

67:55

mid-term 6 months to 2 years.

67:58

>> I think that in the short term

68:00

the people that

68:02

makes the new thing

68:06

needs

68:07

to get valued and needs to demonstrate

68:10

value. So, who are the people making the

68:12

new thing?

68:13

It's the Nvidias, it's the memory

68:15

makers, it's the Anthropic's, it's the

68:17

SpaceX's and uh it's the Open AIs. But

68:20

eventually it all comes home to roost.

68:23

And

68:25

you can't just make things for a market

68:28

who then doesn't have a measurable

68:29

benefit themselves.

68:32

To be very clear and blunt, there is

68:34

literally not a scintilla of evidence

68:37

that AI has helped lift the operating

68:39

margins of the S&P 500.

68:42

There's all kinds of bluster. There's

68:43

going to be a an important fork in the

68:45

road. It's probably 2 or 3 years from

68:47

now. One path will be

68:50

OpEx shrinks

68:51

hence margins increase

68:53

and the other path is revenues grow and

68:56

margins expand and OpEx stays flat but

68:58

it or maybe it even goes up.

69:00

Those two things are very important

69:02

differences, because in the former

69:04

you're talking about shrinking workforce

69:06

and shrinking off access a percentage of

69:08

operating margin and revenue. In the

69:10

latter, you're actually growing through

69:12

it.

69:13

The answer to that question I think is

69:14

critical about how the markets will

69:15

respond.

69:17

And how society will respond. So, I

69:19

think we have kind of call it 500 days

69:22

where

69:24

you just got to be net long.

69:26

But, I think it's literally in the

69:28

hundreds of days from now

69:30

500.

69:33

You're going to have to have an

69:34

important reckoning moment. The people

69:37

that are paying for all these tokens

69:38

need to see it an actual benefit.

69:41

>> Yeah, that that's reasonable. Yeah.

69:42

>> That's a really interesting point. Let

69:43

me connect a couple of dots here between

69:45

something Chamath said and what Brad

69:46

said, which is

69:47

Brad said at the beginning of the year,

69:48

we went into this year with this massive

69:50

CapEx, this massive investment

69:52

infrastructure, but people weren't sure

69:54

that the ROI was going to be there in

69:57

terms of model revenue. And that was

69:59

true, and then the model revenue has

70:01

proven out. And now what Chamath is

70:02

saying is that we're going to be at

70:03

another fork in the road soon in terms

70:05

of whether there's going to be ROI

70:08

on all those tokens that are being sold

70:10

and generating the revenue for those

70:13

model companies. And I agree with you

70:15

that that is not proven out yet, but I'm

70:17

optimistic that it is going to be proven

70:20

out, and otherwise these you wouldn't be

70:22

seeing

70:23

>> Look, I

70:23

>> enterprises continue to to buy. Hold on,

70:25

let me just finish my point.

70:27

You wouldn't be seeing enterprise

70:28

continue their month-over-month spend

70:31

on coding tokens if they didn't feel

70:33

like the ROI was going to be there. But,

70:35

you make a good point, which is what is

70:37

the impact on the economy going to be

70:39

when all of this new software, this

70:41

bespoke software that's being created

70:44

through again all these coding tokens

70:45

that are being bought, is going to power

70:47

a wave of productivity like I think

70:49

we've never seen before. So, I think

70:51

what you're seeing is the ROI is getting

70:54

is sort of trickling down from

70:55

infrastructure to model to application

70:58

to end user. And I think it's going to

71:00

create an economic boom.

71:02

>> I got I got it. I'm with you, Sachs.

71:03

It's This is déjà vu all over again. We

71:05

watched this happen with the PC

71:06

revolution, the internet revolution,

71:08

cloud revolution, mobile revolution. We

71:10

had all this hand-wringing. Will this

71:12

ever pay off? Should I build an app?

71:13

Should I build a website? Should I not?

71:15

Should I move to the cloud? Should I

71:16

keep it on prem? All of these questions

71:17

over and over and over again. And then

71:19

they went from question marks to

71:20

exclamation points. I can tell you

71:21

inside of my firm, we have started We

71:23

were using agents then we started

71:25

building code. And I've got three people

71:26

on the team who are making all the

71:28

interfaces and products that a 22-person

71:31

investment firm should not be making

71:33

internally. They should be using SaaS

71:35

software. And they are shipping product

71:38

day in and day out. The ROI is fait

71:41

accompli, Brad. It is fait accompli. I

71:43

think this has been decided. I think

71:45

it's been decided.

71:46

>> It has not been decided at all. It has

71:48

not been decided at all.

71:49

>> You have 80/90. You're working with the

71:50

big enterprises. I invest in 100

71:52

startups a year. I work with the small

71:53

ones. It is fait accompli with startups.

71:56

They are building software. They're

71:57

shipping. They are getting massive value

71:59

from these tokens. And they're getting

72:00

so much value that they don't have to

72:02

add, you know, but half the number of

72:05

employees that they would with the same

72:06

amount of capital. They're getting

72:08

further with less money. It is working

72:11

in startup land. I don't know what's

72:12

happening at 80/90. You would have a

72:14

better picture, obviously, of the

72:15

enterprise. Tell us what you see there.

72:16

>> I mean, our business is doing well, but

72:20

what I'm trying to get across to you

72:21

guys is that

72:24

you can't will

72:25

profits to go up.

72:28

Okay? So, ultimately what happens is I'm

72:30

just going to take a company randomly.

72:33

Anheuser-Busch.

72:35

They have to eventually sell more beer.

72:39

Okay? Take Nike.

72:42

They ultimately have to sell more shoes.

72:44

Take

72:45

a medical devices company. They have to

72:47

sell more artificial hips and knees.

72:49

So, the The I'm trying to get across is

72:51

right now there's an enormous amount of

72:54

very constructive and creative

72:56

experimentation.

72:58

But I think it's what is also true is a

73:01

lot of that

73:03

has not yet proven value. I don't think

73:05

that means it's going to stop. All I'm

73:07

just trying to say is

73:09

until a company can trace very directly,

73:12

I spent X and I made Y where Y is now

73:14

greater than X and it's lifted my

73:16

margins,

73:18

that is the thing that causes the

73:20

flywheel to spin faster.

73:22

And right now we've started the first

73:24

part of that equation. We've spent the

73:26

X.

73:28

And we have not seen the Y.

73:30

You would see it in global GDP. You

73:33

haven't. You would see it in global

73:35

productivity. You haven't. You would see

73:37

it in the global profit margins of the

73:38

S&P 500. We haven't. It doesn't mean

73:40

it's not coming.

73:41

>> Brad, you want to you want to pick up on

73:43

this because I yeah, I'm definitely

73:44

taking the other side of it cuz I'm

73:45

seeing with a lot of these companies

73:48

massive lowering of costs. Their ads are

73:50

getting more effective. At the same time

73:52

they've stopped hiring. They're not

73:53

adding positions in a lot of cases. And

73:56

things like just pick the Nike example,

73:59

a lot of the photo shoots

74:00

they used to do for their app, excuse

74:02

me. A lot of the imagery they used to

74:04

make, now they're able to make more of

74:05

it without having to hire photographers

74:08

and do that stuff. I know this example

74:09

cuz we have a startup that does this

74:10

specifically for brands like Nike.

74:12

They've seen a massive drop. We have one

74:14

that helped DoorDash with their food

74:16

pictures. All those pictures used to

74:17

have to be taken by photographers. Now

74:18

it's all done by AI. Massive reduction

74:20

in cost and they're using ads and ad

74:23

creative now at that is, you know, you

74:26

know, double-digit percentage more

74:27

effective while costing half as much.

74:30

So, I definitely think we're seeing it

74:32

on the earnings, but is is that true?

74:34

Are you seeing it in the earnings of

74:35

these companies yet?

74:36

>> Yeah, so so two data points. Number one,

74:39

we just saw Azure grow 39% in the

74:41

quarter. We saw Google Cloud grow 63% in

74:44

the a

74:45

Headcount growth for those companies the

74:47

last 3 years mag 5 combined is about 3%.

74:50

So their operating margins are all

74:52

expanding. If you look at the S&P 500

74:55

writ large in Q1 of 24 operating margins

74:58

were about 11.8%

75:00

that was up from 11% in 23. This year

75:03

they're 13%. So we've had a 200 basis

75:06

point improvement in the operating

75:09

margins of the S&P 500 which is massive.

75:12

Do you think that's AI across those

75:14

businesses?

75:16

>> I think that that's the question where

75:18

where it could dovetail with what you're

75:20

saying. It's dollars to donuts it's not

75:21

AI.

75:21

>> Yeah, so

75:22

>> So but any amount of money is not AI. We

75:24

are the same financial engineering that

75:26

got these earnings to rise in the last

75:28

decade.

75:29

>> Yeah, so I I I think that's the

75:30

question. Are is this margin expansion

75:33

durable? The forecast the consensus

75:35

forecast and estimate is that margins

75:38

are going to continue to expand over the

75:39

course of the next 2 years. You and I

75:42

both know back in 22 23 we went from the

75:45

age of excess to the age of fitness,

75:47

right? A lot of these companies were

75:48

able to shed people, you know, with the

75:50

excuse of AI just because they had

75:53

become you know,

75:55

too excessive during the period of

75:57

COVID. So I I think it's a legitimate

75:59

question whether or not that's all from

76:01

AI, but I will tell you anecdotally it

76:03

maps for me. I'm hearing like Jason and

76:05

David a lot of these companies that are

76:08

you know, really growing their top lines

76:10

at an accelerating rate without

76:11

expanding head count nearly at the same

76:13

pace.

76:14

>> Okay.

76:15

Sacks, I'll give you the final word

76:16

while we're at it.

76:17

>> Brad was talking about how we got all

76:19

these operating efficiency improvements.

76:21

The unemployment rate stayed at

76:23

historical lows during that time. I mean

76:25

the economists consider full employment

76:27

to be 4 to 5% and we've stayed at you

76:30

know, the low low 4% 4.2% roughly during

76:34

this time. So you're able to get these

76:36

efficiency improvements while

76:38

unemployment is still extremely low.

76:40

Moreover, there was just a big article

76:42

saying that the unemployment rate for

76:45

young college graduates has dropped. So,

76:48

you know, there was this whole narrative

76:50

recently that recent college graduates

76:52

were going to have the hardest time

76:53

finding jobs because you know, there's

76:54

going to be no no work left for

76:56

entry-level jobs because of AI. And in

76:58

fact, it has gotten easier for recent

77:00

college graduates to find work recently.

77:02

Maybe that's because they're AI natives.

77:04

Maybe that's because they know how to

77:06

use AI better.

77:07

So, in any event, I mean, we're just not

77:09

seeing any evidence yet of these

77:11

theoretical downsides of AI around job

77:14

loss and unemployment. And we are

77:16

starting to see big productivity gains.

77:17

>> Yeah. I mean, this is going to be a

77:19

circular discussion, but yeah, there's a

77:21

lot of conflicting evidence. The last

77:23

piece of conflicting evidence,

77:24

obviously, is the labor participation

77:26

rate because if you are not even opting

77:28

into participate, then you

77:31

you know, don't get counted as

77:33

unemployed. And that's been, I think, a

77:35

big challenge. 61.9% in March labor

77:38

participation rate.

77:40

Back in before COVID, we're at 63.3.

77:43

>> Yeah, and college graduates are hearing

77:44

different stories. Certain degrees

77:46

getting jobs, other ones not getting

77:48

jobs.

77:49

It's too early to tell, I think, is

77:51

probably what we all agree in. And it's

77:52

a it's a mixed bag.

77:54

>> No, no, I don't agree with that.

77:55

>> No. Look, whenever whenever I have data

77:58

to refute one of your narratives, you

77:59

always say it's too soon to tell.

78:01

>> No, no, no. What I do

78:02

>> Headline, Wall Street Journal. Nick, put

78:04

it on the screen. College graduates are

78:05

finally catching a break in this job

78:07

market.

78:08

>> Yeah.

78:08

>> J Kyle, you should be happy about this.

78:10

>> I'm Listen, I'm happy anybody gets a

78:12

job. But what you do is then you say we

78:14

don't trust the numbers and we should

78:15

get rid of the Fed and we should get rid

78:16

of the numbers.

78:17

>> We should get rid of the Fed?

78:18

>> No, that was Schmalz that you you chose

78:20

Schmalz. Let's get rid of the Fed cuz we

78:21

don't like the numbers. You listen, it's

78:23

all great. Welcome to the debate club.

78:25

>> I say? What did I say?

78:25

>> You said abolish the Fed.

78:28

Abolish the Fed.

78:30

What is the Fed here for? All right,

78:31

listen, enough. We're getting into Trump

78:33

Derangement Syndrome or Trump Ben the

78:35

Knee Syndrome. It's the end of the show.

78:36

We had a great show, everybody. We had

78:38

some laughs. We all learned. We

78:39

workshopped some stuff. Let's leave it

78:41

where it is. Great job, President Trump.

78:44

>> to I want to congratulate

78:46

>> Oh, here we go.

78:47

>> I want to congratulate all of our

78:48

innovators, and I want to congratulate

78:50

Elon and um Dario D. Rockefeller on

78:53

their recent deal.

78:54

>> Oh, SHOTS [laughter] FIRED. THIS IS

78:56

GETTING STRAIGHT. Come on the program

78:58

anytime, Dario. Hey, you know Dario

79:00

well, Brad. Get him on the program. Next

79:02

week, I want him on the program. Have

79:03

him come on.

79:04

>> I mean, I I I'm going to ask

79:05

>> Ask him for me.

79:06

>> I

79:06

um

79:07

>> Will you ask him for me?

79:09

>> Well, I I sure I'll ask him. And you you

79:10

you know, the the the the fact of the

79:12

matter is

79:13

I thank our lucky stars that we have

79:15

Elon, that we have Anthropic, that we

79:18

have OpenAI, that we have Google, that

79:20

we have Amazon all innovating in this

79:23

country. And you know, I know we like to

79:25

you know, kind of poke poke fun on the

79:27

edges of these things, but the fact of

79:29

the matter is

79:30

you know, I see them all

79:33

showing up, sharing their models,

79:35

driving as hard as they can to innovate.

79:37

We have the best competitive framework

79:38

in the country. David's right, it's been

79:41

transformed over the course of the last

79:43

14 months. We need to stay the course.

79:45

We're on the winning horse. We just had

79:47

the Derby last week.

79:49

>> There it is.

79:49

>> the winning horse. Stay on the horse.

79:51

>> America for the win.

79:53

>> America for the win.

79:54

>> There it is, Senator Brad Gerstner. I

79:56

think if you're going to run, you got to

79:57

get rid of the red glasses. We got to

79:58

get rid of the corduroy [laughter]

79:59

shorts in there, but I think you got to

80:01

you got a serious shot, Senator. Senator

80:04

>> I I like I like

80:05

I like secretary better. Secretary.

80:07

>> Secretary.

80:07

>> Uh

80:08

>> Who's Yeah, Secretary of the Treasury,

80:10

Brad Gerstner.

80:12

>> Secretary of

80:13

>> Secretary of State, David Sacks.

80:15

>> Secretary

80:16

>> of cashmere and wine.

80:18

>> Chamath Palihapitiya. How are you doing

80:19

with your uh

80:19

>> There's so much fake news out there

80:21

because I mean, look, I totally agree

80:22

with everything Brad said. Look, I poke

80:24

fun at at some of these companies for

80:25

some of the things they do, but I am

80:27

happy that they are American companies

80:28

and that they're innovating here. So,

80:31

congratulations on your Monopoly diet.

80:33

Absolutely. Yes, and look, there's so

80:35

much fake news out there. I mean, we

80:37

just covered on this podcast how

80:39

beneficial some of these economic trends

80:41

are. You never get it from the media.

80:43

And they are trying to derail us from

80:46

from, you know, the the policies that

80:47

have been so successful.

80:49

>> Yes. I but but they did some great

80:51

inspiring coverage of micro looting, so

80:53

get your micro looting on.

80:54

>> [laughter]

80:55

>> Congratulations New York Times. We'll

80:57

see you next time everybody. Bye-bye.

80:59

>> Love you boys. Love you best.

81:02

>> [music]

81:03

>> Let your winners ride.

81:06

>> Rain Man David Sacks.

81:10

>> And [music] I said, we open sourced it

81:12

to the fans and they've just gone crazy

81:13

with it.

81:14

>> Love you Sacks.

81:15

>> Ice Queen of Quinoa.

81:19

>> [music]

81:19

>> Let your winners

81:20

ride.

81:23

>> Besties are back.

81:25

>> [music]

81:26

>> That is my dog taking a in your

81:27

driveway, Sacks.

81:31

>> Oh man.

81:32

>> My hot Natasha will meet me at the

81:33

Sacks. We should all [music] just get a

81:34

room and just have a one big huge orgy

81:36

cuz they're all just useless. It's like

81:38

this like sexual tension that they just

81:39

need to release somehow.

81:40

>> [music]

81:41

>> What you talking about, B?

81:43

>> Let your queer feet.

81:45

>> What?

81:46

>> [laughter]

81:47

>> We need to get merch.

81:48

>> Besties are back.

81:50

>> [music]

81:57

[music]

Interactive Summary

This episode of the All-In podcast covers the recent strategic deal between Elon Musk's xAI and Anthropic regarding compute infrastructure, framing it as a significant milestone in the AI race. The hosts discuss the broader implications of AI compute constraints, the competitive landscape among frontier labs, and their perspectives on the U.S. government's potential role in regulating AI development. The conversation also shifts to the state of the U.S. economy, the impact of AI on productivity, and the ongoing debate surrounding innovation, market competition, and regulatory policy.

Suggested questions

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