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AI Bubble, Stablecoin Boom, and Runnin' Down a Dream | BG2 w/ Bill Gurley and Brad Gerstner

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AI Bubble, Stablecoin Boom, and Runnin' Down a Dream | BG2 w/ Bill Gurley and Brad Gerstner

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1623 segments

0:00

I'm applauding the innovation. I'm I'm

0:02

I'm jumping on board the crypto train

0:05

and I hope I hope the incumbents aren't

0:07

able to strangle this thing in

0:08

Washington.

0:21

Hey man, great to see you. Good to see

0:23

you, Brad. What an incredible weekend of

0:25

college sports. You know, I have to

0:26

bring this up. I mean Okay. Texas had

0:29

that big upset of number six Oklahoma.

0:31

You had to be pretty stoked about that.

0:34

It was a good game. It was fun.

0:35

>> People that haven't been to a neutral

0:37

site game, so like Florida does with

0:40

Georgia, Texas OU, they meet every year

0:43

in the middle of the Texas Fair. So the

0:45

stadium's got several hundred thousand

0:46

people outside of it. Oh my god. And

0:49

when you get inside right on the 50, on

0:52

both 50s, you know, all one team on the

0:55

other and all the other fans on the

0:57

other. So it's loud and it goes back and

0:59

forth and it's unlike an experience you

1:01

get where there's a home team and the

1:03

crowd's all just rooting for one team.

1:05

Oh, that's cool. Well, my Hoosiers, my

1:08

Indiana Hoosiers Bill upset the number

1:10

three Ducks. Going to six and oh.

1:13

>> I have a lot of duck fans in my in my

1:16

friend group, so I'm going to

1:18

I'm going to refrain from celebrating

1:19

with you, but

1:20

>> I I have to say I used to celebrating

1:22

Hoosier basketball, but rarely Hoosier

1:24

football, but Kurt Zegner's done an

1:26

unbelievable job turning that program

1:28

around. My 90-year-old mother was

1:30

watching that game and sending me

1:32

play-by-play. So congrats to congrats to

1:34

the Hoosiers. Well, as long as we're

1:36

calling out college football teams and

1:38

then we can move on.

1:40

UCLA starts the season 0 and 4, then

1:43

upsets upsets Penn State at home with

1:46

almost no fans there and wins big again

1:48

this week and apparently there was a

1:50

coaching change after the 0 and 4. So

1:52

this could be the biggest turnaround in

1:54

history of college football.

1:56

Go Bruins. Pretty incredible. So there's

1:59

so much happening in the world today.

2:00

We're going to unpack a few of those

2:02

things. We're going to follow up on some

2:04

of the issues Bill that I raised in the

2:06

Jensen pod. You know, the latest AI

2:09

announcements, all this bubble talk,

2:11

circularity of revenues, quality of

2:13

revenues, AI regulation. But we're also

2:16

going to do something today and cover

2:18

something we don't often talk about on

2:19

the pod and that's like life and career.

2:22

Bill, you have a huge book coming out.

2:24

Running down a dream, how to thrive in a

2:26

career you actually love. I'm so excited

2:29

for this book. So we're also going to

2:30

talk a little bit about that today.

2:33

And and in the context of that, you

2:35

know, we're coming up on the two-year

2:37

anniversary of this pod. I can't believe

2:39

it. Time has flown by, but our you know,

2:42

when you and I talked about about doing

2:44

this, we said our mission really we want

2:46

to talk about markets, investing,

2:48

capitalism and companies, but really

2:51

through the eye of the investment

2:52

analyst. You and I more than anything

2:54

else I think are analysts. We try to

2:57

find the biggest problems,

2:59

opportunities, challenges in the world,

3:01

study them deeply. You know, we compare

3:03

notes non-stop. Occasionally as an

3:06

analyst that leads you to a big

3:07

investment idea. Sometimes it leads you

3:10

to a podcast, maybe writing an article,

3:12

teaching a class, for you writing this

3:14

book. And sometimes even a major policy

3:17

initiative like the Invest America Act

3:19

that actually became law. I think you

3:21

would agree with me the response over

3:23

the last two years has been amazing,

3:25

more than either you or I expected. But

3:28

you know, that also creates its own

3:30

pressure of its own to show up, to

3:32

deliver those unique insights and this

3:33

takes a bunch of time. Yeah.

3:35

>> So given that and I don't want to bury

3:37

the lead here, you have some huge

3:40

upcoming projects you want to work on.

3:42

And you're going to step back from the

3:44

co-hosting the pod. I'll still talk you

3:46

in on occasion, maybe to be in a guest,

3:49

but you're freeing up time to work on

3:50

your big passions like this book and

3:53

going deeper into these topics that

3:55

people have heard you talk about here,

3:57

US-China relations, talking about

4:00

regulatory capture, the dysfunctional

4:02

state of US healthcare.

4:04

And for those interested, the pod's

4:06

mission remains the same. I'm going to

4:08

keep the same name. We're going to keep

4:10

chopping it up with analysts I respect,

4:12

sometimes with Bill and covering topics

4:15

that matter. You know, like last week's

4:16

pod with Jensen Huang or upcoming pods I

4:19

have with Sam Altman or Sacha.

4:22

This is a moment of I think really

4:24

unique consequence. We both recognize

4:26

that. We're grateful to have the

4:27

opportunity to open source these

4:29

conversations that are truly shaping the

4:32

future.

4:33

And I know I speak for you. We do it for

4:35

the love of the game. Like this keeps us

4:36

sharp. It keeps us on edge.

4:39

You know, and it's a privilege really to

4:40

get on here and chop it up and share

4:42

something back with the tech ecosystem

4:44

that gives us you know, has given us so

4:46

much. So Bill, you know, you have

4:49

anything you want to say? It's a good

4:50

two-year run.

4:51

>> Yeah, first of all, just thanks to you,

4:53

Brad. Like this has been great going

4:55

back and forth. I had two primary

4:57

initiatives coming into it. One, as you

4:59

mentioned, was to stay sharp and the

5:01

other one was to share and give back and

5:03

I've been writing my thoughts on on the

5:06

tech industry since I was a sell-side

5:08

analyst, so

5:10

coming up on 30 years and always enjoyed

5:13

thinking out loud. I think it makes us

5:15

better as analysts and helps us to

5:17

understand. But but I also like to share

5:20

with people and there's no question in

5:22

my mind that this got bigger than I ever

5:24

anticipated it would. I've been chased

5:27

down in international cities recently. I

5:30

was I started talking with someone. They

5:32

had no idea what I looked like, but the

5:34

minute they heard my voice, they're

5:35

like, "Oh, you're the guy from the

5:36

podcast." So

5:38

um

5:39

it has been popular and I I know there

5:42

are going to be people that are upset

5:44

with me and that I can only say, you

5:47

know, I'm sorry and I apologize that I'm

5:50

not going to be doing it anymore. I came

5:51

across this quote that was really

5:53

inspiring to me. It said, "Life begins

5:56

where your comfort zone ends." And there

5:59

were a number of people that helped push

6:01

me to write the book. It's taken up

6:03

quite a bit of time in the last eight

6:04

years. It's been a very long project.

6:07

We'll talk about it more later, but I'm

6:08

feeling a calling to go work on or at

6:11

least attempt to work on some of these

6:12

bigger issues. So I want to create a

6:14

platform for that. I want to create room

6:17

for it and and move a bit away from the

6:20

space that I do know quite well and love

6:22

quite a bit, but pushing myself, you

6:25

know, outside of my own comfort zone and

6:26

hopefully, you know, having an impact on

6:29

things that really matter. You and I

6:30

talked about this throughout the entire

6:32

time I was working on Invest America. I

6:34

certainly encourage you and push you to

6:36

to do this. I think you have an enormous

6:38

amount to contribute. And listen, when I

6:40

you know, you and I chop it up together

6:42

every day. I know where you stand on a

6:44

lot of these issues. I'll bring those

6:45

opinions to bear for our audience and

6:48

you know, I certainly know that you'll

6:50

have the burning need to come on as a

6:51

guest on occasion and and share some of

6:54

those views. But but in the spirit of

6:56

analysis, let's let's just dive in. This

6:59

AI money bubble Bill and this Jensen

7:02

pod. Let's start by talking about that.

7:04

You know, we've had a just a flurry of

7:06

announcements including another

7:08

announcement this morning between Open

7:10

AI and Broadcom where Open AI is going

7:12

to be building their own inference

7:14

accelerator amounting to well over a

7:17

trillion dollars of incremental CapEx.

7:19

That's above and beyond what we already

7:20

knew was going to get built out. I know

7:23

that you have concerns about the level

7:25

of CapEx, the absolute level and I know

7:28

that you also have meaningful concerns

7:31

about how it's being financed. Why don't

7:33

you walk us through your major concerns?

7:36

I think anybody that's been a student of

7:39

financial history has

7:41

you know, studied different types of

7:44

activities that that historically, let's

7:47

just say historically have created red

7:49

flags. And the reason that, you know,

7:53

any AI you talk to would know what you

7:55

mean if you said circular revenues is

7:58

because someone has used it in the past

8:00

in a way that that wasn't good. And you

8:03

know, I had an exercise which I tweeted,

8:05

we can put in the show notes, people can

8:07

find, but I just described, you know,

8:10

there's not one thing. There's like six

8:11

different transactions that have

8:13

happened now that I would say are

8:15

non-normal. And I just described those

8:18

things to ChatGPT and asked it for its

8:20

analysis both as an accountant and as a

8:23

financial investor. And the AI itself,

8:26

you know, would would find its way

8:28

toward company names like Enron and

8:31

WorldCom and those kind of things merely

8:33

by describing the type of transaction.

8:35

And so I think that suggests if we

8:37

believe in intelligent AI, that that's

8:41

just what historically has been come the

8:44

best practice and way to think about

8:45

these things. And I've I've told you

8:47

before, I think you you have highlighted

8:49

that some of the multiples are actually

8:51

not that high and I think this is part

8:53

of the reason because there are red

8:55

flags that people are looking at. If you

8:58

peel that back a little bit more, you

9:00

know, one of the things that you and I

9:01

have talked about, the very nature, you

9:03

know, of round-tripping or circular

9:06

revenues, you know, I think there's this

9:08

continuum. On one end of the trans on

9:10

one end of the continuum is a true sham

9:12

transaction. There's no underlying

9:14

demand for the product. I send you a

9:16

billion dollars, you send me the billion

9:18

dollars back. Right? That's clearly a

9:20

sham transaction because there's no

9:22

underlying demand. On the other end, I

9:24

have massive demand for my product. You

9:26

have plenty of places you can go get

9:28

capital and we just happen to have a an

9:30

investment relationship in addition to

9:32

that and I'm buying your product. And

9:35

those things happen all over the place

9:37

in our economy and you know, maybe

9:39

something to pay attention to, but it's

9:40

certainly not even close to being

9:42

illegal and it frankly doesn't even

9:44

cause me a lot of concerns about the

9:45

quality of revenue. And then we have

9:47

things in the middle, right? And these

9:49

things in the middle where you can ask a

9:50

question like, "Would this much of

9:53

revenue or product had been purchased

9:55

but for this investment?" Right? And I

9:58

think that at a minimum calls the

9:59

revenue, the quality of those revenues

10:02

into question. So, when you look at

10:04

that, do you discriminate between the

10:06

types of transactions that have been

10:07

announced? I mean, you raised this

10:09

question first 18 months ago about the

10:11

credit transactions that were occurring

10:13

with a hyperscaler. So, maybe just

10:15

unpack a few of the different types of

10:17

transactions. Yeah, and look, I think it

10:19

started at the very beginning. And and I

10:21

think that's one of the things that's

10:24

causing this is it's become part of the

10:26

competitive landscape and the

10:28

competitive dynamic. So, yeah, I think

10:31

there are many boards and many CFOs who

10:34

have been put in a position where they

10:35

say, "Well, if we don't do it, everyone

10:38

else is doing it. You might fall

10:39

behind." But it But it started with the

10:41

original, from my perspective, with the

10:44

original Microsoft OpenAI deal, where

10:46

credits go in as a in-kind investment,

10:50

and then those credits are used back

10:52

against, you know, Azure and and

10:54

Microsoft cloud services. And in the in

10:57

that case, you know, and I said it back

11:00

then, I'll say it again now, that's a

11:01

revenue That's a cashless transaction.

11:04

Like, there's no cash, but it becomes an

11:07

income statement uh revenue item for

11:10

Microsoft. And I don't think that's

11:13

ideal from an economic standpoint. And

11:16

that practice is now, I think, happened

11:19

at Amazon and happened at Google. I

11:22

think they've made investments in other

11:24

AI startups with the same kind of thing.

11:26

And at the very least, it drives usage

11:30

of their product versus someone else.

11:32

Um and in the worst case, you know, it

11:35

creates revenue that might not have

11:36

existed had it had it not been for that

11:39

deal, or at least not on those terms. Uh

11:42

but anyway, it started there. It's

11:43

become quite competitive now. There's an

11:46

interesting podcast on Plain Simple,

11:48

which I I don't Plain English, which is

11:50

a a uh

11:52

in the Bill Simmons family, with Paul

11:55

Kad Kadrosky. And he He makes the

11:58

argument that part of the reason these

11:59

transactions are taking place I think I

12:01

think this is a credible argument he

12:03

makes is because some of these players

12:06

have already put so much CapEx, so much

12:10

debt on themselves that they don't want

12:12

to take the next step. And so, in that

12:15

case, you know, you have reached some

12:17

level where the company's saying, "Oops,

12:20

you know, I feel uncomfortable going

12:21

further than this." The transaction that

12:23

comes to my mind when I think of that is

12:26

there was one where Microsoft

12:28

I mean, Meta agreed to pay for the

12:32

failure of debt on a facility where they

12:34

don't own the debt, you know? And to me,

12:37

that's classic off-balance sheet

12:38

financing. If they own the risk of it,

12:40

just because they don't own the paper,

12:43

you know, it I don't see the difference,

12:45

really. But this is Like I said, this is

12:47

happening in a in a lot of different

12:49

places.

12:50

You know, one of the things that you

12:52

know, again, I've I've talked about a

12:53

little bit on All-In and other places.

12:55

If I look at the Nvidia deal as an

12:57

example, Bill, Nvidia has the

12:59

opportunity to invest, though not the

13:00

obligation to invest. OpenAI has the

13:02

opportunity to use their chips, though

13:05

not the obligation to use their chips,

13:06

as evidenced by the fact they just

13:08

announced their own chip this morning,

13:09

and they just cut up a huge deal with

13:11

AMD. And, you know, in the case of

13:13

Nvidia, you're not talking about a

13:14

highly levered business. It's a company

13:16

that's going to generate $450 billion of

13:19

free cash and is taking a small fraction

13:22

of that over the next 3 years and

13:24

investing in companies that it it it

13:26

thinks are good returning investments. I

13:28

mean, Google and Google Capital have

13:30

been doing this for, you know, for

13:31

years, etc. So, again, I think in those

13:34

cases, you can say for certain that

13:37

maybe uh you know, more of their product

13:39

is being consumed than would have

13:41

otherwise been consumed, right? Uh you

13:44

know, we saw this announcement last week

13:45

where they're investing in this xAI with

13:48

respect to their new round. Most of

13:50

these companies that they're investing

13:51

in, I think, have the economic

13:54

wherewithal to raise the capital in

13:56

other places. Elon could certainly raise

13:58

it in other places. OpenAI was well

14:00

oversubscribed, so they could have

14:02

raised it in other places. But here's

14:04

what I think people should be on the

14:05

lookout for. Okay, so where would I have

14:08

more concern?

14:10

Okay? Now, imagine there's a a a chip

14:14

that there's only one customer for. So,

14:16

there's not a lot of demand for the

14:18

chip.

14:19

And that that chip manufacturer gives a

14:21

customer $10 billion, and that customer

14:24

turns around and buys that chip,

14:26

right? So, there's no other potential

14:29

customers, and that the the the buyer

14:31

would not have had a the ability to buy

14:33

it but for that capital. That to me

14:36

raises big red flags. And I do think in

14:39

this overall ecosystem, the reason I'm

14:42

happy you're bringing it up, I think one

14:44

of the things we need to do to keep the

14:45

wall of worry there, to keep the

14:47

excesses from emerging, is to call them

14:50

out. I'm not concerned as a shareholder

14:52

in Nvidia with what I'm seeing Nvidia do

14:54

today. I like how they're deploying

14:56

their cash on their balance sheet. But I

14:59

do think that as you go further and

15:01

further out the risk curve, right?

15:03

Further and further to these startup neo

15:05

clouds or further and further to startup

15:07

chips, you know, etc., where people, to

15:09

your point, are a little bit more

15:11

desperate for capital, don't have the

15:13

balance sheets, don't have the market

15:15

leadership position, I would not be

15:17

surprised at all in this moment to see

15:19

more of those yellow flags emerge.

15:22

There's a couple things, you know, that

15:24

I would say in response. One, there's a

15:25

reason we know about a lot of these

15:27

things, and that's because some auditor

15:29

somewhere made them disclose them. Like,

15:31

they felt that it was

15:33

um

15:34

abnormal enough to require disclosure.

15:36

Second, I heard I listened to you and

15:39

and the All-In team talk about this

15:41

issue. I I do think investment is

15:44

riskier or more risk-seeking than

15:46

customer loans, which it was compared

15:48

to. And Cisco got in trouble just with

15:50

the customer loans, cuz they were giving

15:52

loans to startups who really didn't have

15:55

the wherewithal to pay them back. But

15:57

when That's really the issue for me,

15:58

though, when you switch from a loan to

16:00

an equity, you no longer have to pay it

16:02

back. So, in some ways, it's uh it's

16:05

easier on the purchaser than if you had

16:08

a loan themselves. But But here's my

16:10

Here's my bottom line.

16:11

I think what this does, this this

16:14

overall situation, is first of all, I

16:17

think it's driven by competition at this

16:19

point. And like the first the first step

16:21

into the gray zone was way back at the

16:23

beginning. And so, now I think we're

16:25

we're fairly pregnant with it. So, I

16:27

think it's a competitive dynamic. I

16:29

think it increases the chance that we go

16:31

over the top, that that we end up

16:33

over-provisioning. And I I kind of felt

16:35

like that was unavoidable anyway. But

16:37

now I think it's higher. And But I think

16:39

it maybe pushes out when we find out

16:41

that happens, because you've you've just

16:45

created more virtual leverage on the

16:47

whole system, and you might be hiding

16:50

some of the signs that would tell you

16:52

things are slowing down. I'll give you a

16:54

great example. One of the more peculiar

16:56

of all the deals is, and this was

16:58

disclosed in a CoreWeave filing, was

17:00

Nvidia has promised to buy any of

17:03

CoreWeave's

17:05

service availability that they can't

17:06

sell to anyone else. That is very

17:08

unusual. That's not the same as making

17:11

an investment. That could easily help

17:13

CoreWeave with their debtors in in

17:16

getting more debt financing. But it also

17:18

means, as a investor, we we don't know

17:22

what's going on with real demand for

17:24

CoreWeave, because we probably won't be

17:26

told if they start moving into the world

17:29

where they're

17:30

offloading to Nvidia or not. And if

17:33

you'd have said to me, "What would you

17:34

look for to see if we've, you know, kind

17:36

of reached a point where things are

17:38

slowing a little bit?" You'd say, "Well,

17:40

let's look at one of the pure plays."

17:42

Um And so, now that's money. I could see

17:44

how it it could be, but I I would expect

17:47

that every analyst on every CoreWeave

17:49

call for the next, you know, eight

17:51

quarters, maybe thanks to you you just

17:54

raising the flag, is going to be asking

17:56

the question, right? Do you see any

17:58

slowing? Do are you having to send any

18:00

of your uh of your demand to Nvidia, you

18:04

know, as a result of this? I mean, one

18:05

of the things I like about this as well,

18:07

right? These are public companies, both

18:09

CoreWeave and Nvidia. It is a disclosed

18:11

transaction. It's not like this stuff's

18:13

occurring in the dark of night. People

18:15

can ask the questions of this you know,

18:17

this with regard to demand. And I will

18:19

tell you,

18:21

there is the the amount of money that is

18:24

being spent to track every single part

18:28

of this supply chain, from Taiwan to the

18:31

United States. I mean, look at Dylan

18:33

Patel's business at SemiAnalysis. The

18:35

thing has exploded. The amount of money

18:38

people are spending just to stay on top

18:40

of this. And the second they see

18:41

something that smacks of any, you know,

18:43

leakage in demand, boom, docs fall and

18:46

and and and warnings go up. So, I think

18:48

it's a good point. But I think Let me

18:51

transition, because I do want to talk

18:53

about this question of demand. So, on

18:55

the one hand, there's this question

18:56

about quality of revenues. On the other

18:58

question is, are we overbuilding? So,

19:00

let's show this chart again. This is

19:02

basically the $3 trillion of build-out

19:05

expected over the next 5 years. This is

19:08

the CapEx chart that we've shown here

19:10

before. To put that in perspective,

19:12

Bill,

19:13

that's about 60 gigs, right? Because we

19:15

we now are normalizing everything's to

19:17

gigawatts of data center. So, that's

19:19

about 60 gigs. It's not all incremental.

19:22

A lot of that is is is replacement or

19:24

upgrade. Keep that in mind. The second

19:27

is this chart of Nvidia revenues. This

19:29

is the Nvidia sell-side forecast, okay?

19:32

Forecast this year is for about 200

19:35

billion in revenues, growing to about

19:37

350 billion in revenues over the next 5

19:40

years.

19:41

So, this year that means that they're

19:43

selling about four to five gigs worth of

19:46

compute. And again, most of that's

19:48

incremental, but it's not all

19:49

incremental.

19:51

And that would grow to nine gigs of

19:52

compute, nine, in 2029-2030.

19:56

So, that's 350 or 400 billion. That's

19:59

the NVIDIA consensus revenue forecast,

20:02

right? And I asked Jensen on the pod

20:05

about this, and I said, "What is the

20:07

chance that we get into a glut over the

20:10

course of, you know, the next four or

20:13

five years?" And we'll play the you

20:16

know, the piece, but he basically said

20:17

there's zero chance over the next two to

20:19

three years because all the build-out

20:21

will go to the biggest hyperscalers with

20:23

the biggest balance sheets in the world,

20:25

and they're building it to to run their

20:26

core businesses. We haven't even got

20:28

into the full

20:31

amount with respect to these new

20:32

generative AI workloads. So, what is the

20:34

percentage probability that you think

20:36

we'll have a glut, we'll run into a glut

20:39

in the next three or four or five years?

20:42

Until we

20:45

fully

20:47

convert

20:49

all

20:50

general purpose computing to accelerated

20:52

computing and AI. Until we do that.

20:54

>> Yes.

20:56

I think the chances are extremely low.

20:57

Okay. So, here's a question I have for

20:59

you. Did you hear anything in the last

21:01

couple of weeks that caused you to

21:04

believe that we're on the verge of some

21:06

bubble bursting or we're greatly

21:07

overbuilding or or anything else? Or is

21:10

it just the flags are up and now it's a

21:12

wait and see?

21:13

Yeah, sure. It's funny, they had Howard

21:16

Marks on CNBC this morning. I'm a huge

21:19

Howard Marks fan, and they asked him

21:20

this question, and he he said, "Look,

21:23

multiples are too low to for this to be

21:26

you can't be on bubble watch if the

21:27

multiples aren't high enough." And

21:29

you've been making this point for a long

21:31

time. And I would say like you'd have to

21:34

be a fool not to notice that these

21:36

numbers you're talking about are so

21:39

remarkably unprecedented from anything

21:42

we've ever seen before. They are

21:44

massive. You know, I I've talked about,

21:47

you know, to see the Mac 7 go from

21:49

being massive cash producers to where

21:53

they're

21:54

many of them are taking the majority of

21:56

their free cash flow and the CapEx. It's

21:58

it's it's totally new, and clearly

22:01

everyone believes that this wave is

22:04

maybe bigger than the previous waves

22:06

we've seen that have led to so much

22:08

value creation. So, all that's

22:10

happening. I like to believe that it's

22:13

okay to recognize that the market's

22:16

great and still think that these

22:18

transactions shouldn't happen this

22:20

way. And I'm I'm able to keep both those

22:23

things in my head at the same time. I I

22:25

I think I I think it's a super fair

22:27

point. By the way, you just mentioned

22:28

it, so we'll include this chart. This is

22:30

Mag 5 CapEx as a percentage of their

22:34

operating free cash flow bill. And if

22:36

you look at it in 2025,

22:39

so that's this year, they'll spend about

22:41

66%

22:43

of their operating cash flow on CapEx.

22:46

Yep.

22:47

>> Right? And if you look at the the the

22:49

consensus forecast for their CapEx

22:52

relative to their operating cash flow,

22:54

this is the peak. Around 66%, and it has

22:58

it going down to about 45 or 50%. Now,

23:01

embedded in there is they're going to

23:02

keep growing their operating free cash

23:04

flow at 15 to 20% a year, right? So,

23:07

there's still room for them to to grow

23:09

with that coming down. But I think that

23:10

is another thing to keep your eye on.

23:13

How much are they spending? And by the

23:15

way, just give you an order of

23:16

magnitude, Bill, in 2023, their total

23:20

CapEx was 156 billion.

23:23

And this year, it's 379 billion.

23:27

Right? So, radical step up in in your

23:30

point's a good one. And just remember a

23:32

couple years ago in 2022,

23:34

when Meta stepped up their CapEx

23:37

spending on Reality Labs,

23:40

the stock got obliterated because people

23:42

said, "What the hell are you doing? This

23:44

is all about free cash flow per share

23:46

per share." Including myself, and I was

23:48

saying, you know,

23:49

let's get fit here. Let's drive more

23:51

free cash flow out of the business. You

23:53

know, so much so that the CFO sent me a

23:55

hat that says free cash flow, right? So,

23:58

they got real about free cash flow, but

24:01

there's a difference between investing

24:02

that free cash flow in data centers and

24:04

AI than there was in Reality Labs. As an

24:07

investor, let me just tell you my own

24:09

perspective. The reason Meta's stock's

24:10

doing great, notwithstanding going back

24:13

to high levels of CapEx spend, is

24:15

because now the investors understand it

24:17

and believe in it. We're seeing the

24:19

benefits, right, in the earnings of the

24:22

business. They're growing the earnings

24:23

of the business. They don't have to hire

24:25

a lot of new employees, and so it's it's

24:28

fundamentally different than the CapEx

24:29

that was going into Reality Labs, where

24:31

investors were saying,

24:33

"Hold on a second, we're going to spend

24:34

100 plus billion dollars over the next

24:36

five years. We don't even know what

24:38

we're building."

24:39

Right? We don't know what it'll be worth

24:40

at the end of the day. So, I think for

24:42

now, at least, there's enough belief in

24:45

the the byproduct of generative AI

24:48

because people are using ChatGPT,

24:50

they're seeing the utility in the

24:51

enterprise that they're going you know,

24:53

that they're willing to tolerate these

24:55

companies giving over half of their free

24:57

cash flow to these build-outs.

25:00

I do think another dynamic is the race

25:02

condition created by the competitive

25:04

dynamic. And it appears from where I

25:07

sit, and you don't need to comment cuz

25:08

you're an investor and and maybe have

25:11

more information than I do. Probably

25:13

have more information than I do. But it

25:15

appears to me that OpenAI, um through

25:17

all these partnerships and

25:19

announcements, is trying to create

25:20

escape velocity, you know? And that

25:24

could be against the model providers, it

25:25

could be against a hosting provider,

25:28

depending on how you think the market

25:29

plays out. Um it could could be on the

25:32

consumer side, it could be on the API

25:34

side. But it it it creates an

25:36

interesting stress test for anyone else

25:39

in the ecosystem to say, "Are you going

25:41

to lay chase?" Because of all the

25:44

numbers you laid out there, they're

25:45

they're gargantuan. And it it'll be

25:47

interesting. That's my opinion. It just

25:49

feels like they're they're daring people

25:52

to to follow them, and and I suspect a

25:54

bunch don't. I mean, it may work. Well,

25:56

it's you've seen this before, I know.

25:58

We've talked about many times on here.

26:00

This was in Lyft. Um ultimately, I think

26:04

a couple things to remember. These these

26:05

announcements are frameworks. It it

26:08

allows people to begin working, but

26:10

they're not etched in stone. These are

26:11

not contractual obligations. You know,

26:13

everybody's got to deliver their parts.

26:15

If the demand comes in lower, then these

26:18

people are not going you know, leave

26:20

>> Oracle wouldn't have to be contractual

26:22

for it to be RPO. Yeah, you know, I you

26:24

may know more

26:25

>> Well, for sure

26:26

I shouldn't say that they're all right

26:28

frameworks, but I know, for example,

26:30

like in the case of AMD, they're going

26:31

to have to deliver a workable chip, or

26:33

you're not going to build six gigs'

26:35

worth. Yeah.

26:36

>> Right? Uh in the case of this Broadcom

26:38

announcement, obviously, they have to

26:39

build a workable chip. So, I think your

26:42

speculation, and again, it makes sense

26:45

to me. If you said, "What are the

26:47

advantages of getting out there and

26:49

locking up all of these deals?" Right? I

26:51

I can't imagine it it it doesn't help a

26:54

lot with recruiting. All the best

26:55

researchers in the world want to work at

26:57

the place that has the most compute, and

26:59

so you want to lock up the compute. I I

27:01

I have to imagine it helps with the

27:02

supply chain, because, you know, now

27:05

you're you're locking up that supply.

27:07

So, I think your speculation is a pretty

27:09

big one, a pretty good one. But at the

27:11

end of the day, if you add up all these

27:13

deals, I tried to do this, and we may be

27:16

we may be off by a bit, and I'd

27:18

encourage people who have a better

27:19

estimate to let me know. But if you add

27:21

them all up, it looks like to me OpenAI

27:23

would be on the hook for like 150

27:25

billion of CapEx in 2030.

27:28

Okay? And so, like, the question is,

27:31

Bill, what how much revenue do they need

27:32

in 2030 to justify 100, you know, 150

27:36

billion in CapEx? Well, I think you

27:37

would need at least 150 billion of

27:39

revenue.

27:40

Right? And, you know, like, at a

27:42

minimum. We just talked about Meta and

27:44

these companies spending 66% on CapEx.

27:47

But if they had 150 billion of revenue,

27:49

then the question is, is it plausible

27:51

they could have 150 billion dollars of

27:53

revenue in 2030? And I would argue as an

27:55

investor that it's it's more than more

27:58

than plausible that they could have 150

28:00

billion of revenue. But I think it makes

28:02

it very, very difficult for anybody else

28:05

other than the hyperscalers. Obviously,

28:06

Google's going to be there.

28:08

Obviously, Meta's going to be there.

28:10

Obviously, Amazon, you know, can be

28:13

there. But it makes it very, very

28:15

difficult for anybody else in the

28:16

ecosystem, right? Who believes this is a

28:19

game of of scale compute competes. So, I

28:21

think your point's a good one.

28:24

All right.

28:25

>> maybe shift a little bit, you know, to

28:27

an area of passion for both you and I,

28:29

which is this AI regulation. We've

28:31

talked on the pod many times about the

28:34

concerning patchwork of these emerging

28:37

state regulations that, under the guise

28:39

of doing good, and maybe they're even

28:41

well-intentioned, cause a hell of a lot

28:43

more confusion at best, and at worst,

28:46

they set back our leading frontier labs,

28:49

you know, and and really hamper us in

28:50

the race to to stay in the in the lead

28:53

in global AI. Well, it's gone from more

28:56

theoretical to now more more more

28:58

problematic. I tweeted over the weekend

29:00

in particular about this Colorado AI

29:03

Act, which is now passed into law,

29:05

signed into law. It defines something

29:07

called algorithmic discrimination

29:10

by outlining these 12 protected classes.

29:13

Of course, age, color, religion, but

29:15

also limited proficiency in English

29:17

language, reproductive health. And

29:20

basically said if the algo provides

29:23

info,

29:24

right? If the chatbot provides

29:25

information that's used to discriminate,

29:28

then there's liability back at the

29:29

frontier model level,

29:31

right? And just this morning, Gavin

29:34

Newsom signed SB 243, which mandates

29:37

safety protocols for AI chatbot

29:39

companions, and gives any consumer a

29:43

private right of action to sue these

29:45

companies for any emotional harm that

29:48

comes out of a chatbot. I mean, I

29:50

you not. You can't make this stuff up.

29:53

And you said recently that China is so

29:55

competitive with the United States

29:57

because it's run by engineers and

29:59

America's run by lawyers, and that's the

30:02

greatest risk we have. Talk to us about

30:05

the need for federal preemption and you

30:07

know, again, just let's dive back into

30:09

your concern about these two laws that

30:11

were just passed.

30:13

As an aside, I just consumed Jonathan

30:15

Haidt's book Anxious Generation where he

30:19

talks about what he believes is some

30:22

social harms caused by some of the apps

30:25

on the internet ecosystem. And I do

30:27

think a lot of the passion for writing

30:30

some of these states' laws comes from

30:32

that place. Like there are local

30:34

congressmen that that feel like they

30:36

should have been out in front of social

30:38

media more, and so they want to get a

30:40

jump on this. And and and I I think some

30:42

of that comes from there. You run this

30:44

massive risk of of trying to regulate a

30:47

brand new technology

30:50

at a state-by-state level. And you know,

30:52

you could ask yourself, you know, and

30:55

and and by the way, I

30:57

I've said this a lot about policy. The

30:59

intent of the policy is different from

31:02

what happens once the policy is

31:04

implemented. And so people can come in

31:06

with great intentions, and this goes

31:08

back to my speech at All-in on

31:10

regulatory capture, and you can end up

31:12

with the exact opposite outcome of what

31:14

you intended because you just don't know

31:16

enough about the way you write the

31:19

regulation. Right now, a lot of people

31:22

believe we're in this global competition

31:24

to to see, you know, whose

31:27

tech stack for AI is used on a global

31:30

basis. And

31:32

if we implement 50 different state rules

31:36

that these companies have to jump

31:37

through, and companies that are that are

31:40

competitors that are competing in the

31:42

broader world don't have any of them,

31:44

there is zero chance that's not going to

31:46

create mud and slow down the US players.

31:49

There's just zero chance. And

31:51

I'm certain the people that are writing

31:53

these laws don't understand that there

31:56

might be some global, you know,

31:58

consequence of what they're doing. But

32:00

but it's bad. I mean, I can remember

32:03

when Obama was excited about removing

32:06

some of the state-by-state requirements

32:08

on like hair stylists and whatnot

32:11

because it makes it such that they can't

32:13

move between states. And it's kind of

32:15

ridiculous that they would have

32:17

different laws and different licenses.

32:19

This is like

32:21

if that's a problem, this is really a

32:23

problem. And so I, you know, from a

32:26

global competitiveness standpoint, I

32:27

would certainly hope that that they're

32:30

able to federalize this and preempt it.

32:33

I don't know if it's there's too much,

32:35

you know, water under the bridge or not.

32:37

I don't know enough about what it takes

32:39

in Congress to make that happen. But I

32:41

think this is bad for

32:43

I think it's bad for the US. it's bad

32:45

for innovation broadly. It's going to

32:47

make it harder for startups to do things

32:51

just because they're going to have to

32:52

worry about all this stuff. Yeah, it's

32:54

it's it's way worse for little tech,

32:56

right? Because smaller companies don't

32:58

have phalanxes of lawyers. They can, you

33:00

know, go out and comply. You know, I

33:02

think the other thing is listen, we

33:03

already have the Civil Rights Act, we

33:05

have the Fair Housing Act, we have the

33:06

American with Disabilities Act. Of

33:08

course, we don't want discrimination.

33:10

But this just seems like broad

33:12

overreach. It's no like I don't even

33:14

know how you comply or enforce. And so

33:16

it just ends up bogging down the entire

33:18

system in uncertainty and litigation.

33:22

And again, it's important to say this

33:23

isn't even about whether or not AI

33:25

should be regulated.

33:27

It's just a question of who should

33:28

regulate it. And what we're saying is

33:31

that, you know, there is ample

33:32

opportunity

33:33

for this administration and Congress to

33:36

get together and write legislation to

33:38

the extent it needs to be written,

33:40

right? To provide a national These are

33:42

inherently interstate technologies.

33:45

There's no way to keep it in a single

33:46

state. And so write a piece of national

33:49

legislation that allows us to continue

33:51

moving forward very quickly, but all the

33:53

at the same time addresses any of these

33:56

concerns. I frankly think we need a we

33:58

need a moratorium on all state laws.

34:01

Postpone all state laws until the

34:03

federal government has time to act. And

34:06

if states are going to pass these laws,

34:08

Bill, then I wonder whether or not

34:10

OpenAI or some other company should

34:12

consider blocking the citizens of those

34:14

states until it's resolved at the

34:17

national level. Somebody needs to get

34:19

the attention of these states that they

34:21

can't do this on a state-by-state level.

34:23

It's bad for the companies, it's bad for

34:25

the country. But hopefully we'll get

34:27

action out of Congress soon. I think

34:28

there's good momentum. We almost had it

34:30

passed as part of the I think the big

34:33

beautiful bill.

34:35

And so I think there's a lot of movement

34:36

afoot in order to do it. I wanted to

34:38

highlight it because I think it's it's

34:40

one of the high priority issues facing

34:42

the new Congress. All this AI all the

34:44

time stuff, Bill, and you you pinged me

34:46

and you said, "Hey, I want to talk about

34:48

stablecoin, right?" We have this

34:50

parallel development in the world. So I

34:52

think if we have three major trends in

34:54

the world,

34:55

AI is clearly the largest supercycle

34:57

going on. The reindustrialization of

34:59

America is massive. All these critical

35:02

supply chains. And I would say the third

35:04

one is kind of the digitization and

35:07

tokenization of finance. It's going on

35:09

as a result of the administration

37:54

basically turning

37:56

>> And you have to fill out pages and pages

37:57

of crap. Sometimes get a verbal. And it

38:00

and it and it and it's, you know, we are

38:02

so behind. I am going to go out on a

38:05

limb and say I hope someone, whoever

38:09

agitated this to happen in the Trump

38:11

administration, is someone who is kind

38:14

of caught in a regulatory capture

38:16

position getting lobbied by somebody. I

38:18

I think if the Trump administration

38:20

studied this, they shouldn't be critical

38:22

of PIX. They should be envious of it. We

38:24

should have done this a long time ago

38:26

with FedNow. But we may be on the verge

38:29

of stablecoin just being able to do this

38:31

anyway. And the rails have tons of

38:34

transaction on them as you've talked

38:36

about. We have this interesting

38:38

situation where Coinbase and Circle have

38:41

done this deal where Coinbase will allow

38:44

you to earn 4% on your stablecoin

38:46

balance. Which, you know, to to get that

38:49

kind of return at another bank,

38:51

even a neo bank, you have to have your

38:54

direct deposit go there. Here, whether

38:56

it's 10 bucks or or a million bucks, you

38:59

know, you put it in stablecoin with

39:01

Coinbase and you start earning 4% daily.

39:04

And on top of that, and this gets back

39:06

to the PIX thing,

39:08

you can transact immediately out of that

39:10

account. So you don't have to like move

39:12

it from your savings to your checking to

39:14

get it to do ACH. Like you can send

39:16

stablecoin immediately in microseconds,

39:20

and it'll cost you a few pennies. It is

39:23

The rails are there. They're ready. And

39:26

it's working. And I think the UI is a

39:28

little difficult, but there's no reason

39:30

why that won't get better and faster.

39:32

And so I look up, you know, and I I'm

39:35

just I wonder what the team at Meta like

39:38

they might just be kicking themselves.

39:40

Like with all the money they spent on

39:42

that coin, everything they wanted to do

39:44

on WhatsApp, like they should be running

39:47

back at it. Like I don't know

39:48

>> Well, I think so maybe they should, you

39:50

know, remember the guy who did the the

39:52

Libra network, David Marcus, has started

39:54

the lightning network now. It's a

39:56

startup. Maybe maybe Meta should go buy

39:59

you know, should go buy lightning and

40:01

bring David back in house because

40:03

you know, all the things they talked

40:05

about all the things they talked about

40:08

are now what's happening, Bill. And let

40:10

me tell you one I think you're onto

40:11

something big here, but one of the

40:13

challenges we still have I think first

40:16

anybody who looks at our current system

40:18

right, knows that it's dreadfully behind

40:20

the rest of the world. Right? And we

40:21

know it's the result of regulatory

40:23

capture by not only our issuers, but the

40:26

banks and everybody else who who likes

40:28

that who benefit from the status quo.

40:30

But if you look at Visa and MasterCard

40:32

today, I think that they're doing

40:33

something like 50,000 transactions per

40:36

second. And I checked with our good

40:38

buddy Vinnie Lingham. And he said, you

40:40

know, on on both Solana and ETH today,

40:42

they're still under 4,000 transactions

40:45

per second. So they're trying to come up

40:46

with these solutions to actually make

40:48

the rails have the functional throughput

40:51

and efficient settlement required to

40:53

really become a consumer product. But I

40:55

think you nailed the other one that you

40:57

know, Patrick Collison had a tweet on

40:59

this that I replied to, which is you

41:01

know, when Genius Act was passed, there

41:04

was massive lobbying by the banks to

41:07

prevent the crypto companies from paying

41:09

interest on stable coins.

41:12

So the settlement was that they could

41:14

pay rewards, not interest. Okay? And um

41:19

but what the way in which it's

41:20

manifested itself because Coinbase is

41:23

not the issuer, Circle is the issuer and

41:25

they did this deal. So Coinbase is

41:27

promoting it as though it was interest.

41:29

So from a consumer perspective, a reward

41:31

and interest if it's 4% is

41:33

indistinguishable. No doubt. Right? So I

41:36

put my money

41:37

>> and obviously Brian's been out on Brian

41:39

Armstrong of Coinbase has been out on X

41:42

like

41:44

arguing his side of the argument. So

41:45

he's clearly he's either getting

41:48

opposition or expecting opposition on

41:50

the regulatory front. And when I see,

41:52

you know, whether you know, whether it's

41:54

Visa or Nasdaq or any of these people

41:56

kind of run at the tokenization I always

41:59

worry like cuz if you look at the

42:01

history of like the debit card versus

42:03

the credit card, it was supposed to be

42:05

disruptive. It was supposed to be an

42:07

alternative that would change things,

42:09

but they just they just run at it and

42:11

strangle it and mix it up a little bit

42:13

and then it's not as disruptive as it

42:15

was. That's their go-to move. But you

42:17

know, when I read this thing on PIX

42:19

again, like I'm going to read this out

42:21

loud

42:23

as part of its aggressive economic and

42:25

political campaign against Brazil is

42:27

investigating PIX accusing the payment

42:29

system of unfairly utter undercutting US

42:32

financial and technology companies like

42:35

Visa and Apple.

42:37

I mean

42:38

that's the most absurd thing I've ever

42:40

heard. Undercutting Visa? Like do do

42:43

they realize they have Visa MasterCard

42:45

have like the top two operating incomes

42:47

in the history of American business?

42:48

Like like there's there's no one that

42:51

needs less protection than these guys.

42:53

If anything, there should be an

42:55

investigation

42:56

>> dinner at the White House?

42:57

>> cabal? I don't know. I I just like it's

43:00

a it's so bizarre to me. I'm so thrilled

43:03

to to see this kind of disruption. I

43:06

think that it's super interesting what's

43:08

possible. I suspect all the big guys

43:11

should be paying attention to this.

43:13

Apple, Google, Amazon anybody that might

43:16

have payment on their rails I'll go out

43:18

on a limb, Bill. You're going to see the

43:19

you're going to see the hyperscalers.

43:21

You're going to see Amazon and Meta and

43:22

these guys back involved in the stable

43:24

business. At the end of the day, we know

43:26

money is a network effects business. And

43:28

the challenge of Circle and some of

43:30

these stables from a consumer

43:32

perspective is

43:33

universal

43:34

Visa and MasterCard are universal.

43:37

So you got to get to all the merchants.

43:38

Well, who has all the merchants? Amazon

43:40

and Meta.

43:42

Right? And so I think they're in a great

43:43

position to partner with or do some of

43:45

these things themselves. Clearly they

43:47

have the instinct to do it. That's why

43:48

they did Libra in the first place. It's

43:50

also amazing for innovation. And and one

43:52

of the reasons why I think those bigger

43:54

companies should run at this is if you

43:57

look at the history of the PIX like

44:00

alternatives I mentioned in the UK and

44:03

China and India the startups that do

44:06

financial innovation scale up way more

44:09

aggressively successfully on those rails

44:12

that are cheaper and faster. And it if

44:14

if anything the having

44:17

more rigid, high friction, high

44:19

transaction cost rails makes it harder

44:22

for a startup to think about, you know,

44:24

using one of those technologies. And so

44:26

the success of WeChat Pay and Alipay,

44:29

which I as I described for my China chip

44:31

are universal. They're only way people

44:33

pay in China happened because of that

44:37

government instant pay product, not not

44:40

in spite of it. And and the same thing I

44:42

talked to the CEO of Nubank. He said PIX

44:44

was huge for his business. So it's

44:46

probably bad for a laggard bank, but for

44:49

a bank that embraces it, it just becomes

44:51

a better feature. And I think the same

44:53

thing about Coinbase and what they're

44:55

doing here. So I'm applauding the

44:57

innovation. I'm I'm I'm jumping on board

45:00

the crypto train and I hope I hope the

45:03

incumbents aren't able to strangle this

45:04

thing in Washington. Here, here. Here,

45:07

here.

45:08

As we move towards the end and and talk

45:09

about my book and what I'm going to do

45:11

next, I do want to share with you that

45:14

that both my book and and the the next

45:17

project are outside of what I've I've

45:20

spent my career doing. And and as I

45:22

mentioned, you know, that that's kind of

45:23

moving outside my comfort zone, but it's

45:25

also, you know, trying to have an impact

45:28

and give back in areas

45:30

that that I don't know as well, but but

45:33

with a hope towards having an impact.

45:34

I've said this to you before, but I I've

45:36

been just

45:38

inspired, frankly, to go do this based

45:40

on your success with Invest America.

45:42

When you first told me about it you

45:44

know, I had doubts that you could get it

45:46

done, real doubts. And

45:49

I've watched other people in your shoes

45:52

try and do these types of things over

45:54

decades and be unsuccessful. So you made

45:56

it look easy. I know it's just getting

45:58

started, um but I wanted you to know how

46:00

much that inspired what I'm going to go

46:03

do. And and could you give us an update

46:05

on where things are? Well, that means a

46:07

lot, Bill. Maybe to talk about it first

46:10

is just a reminder. You know, we I think

46:12

you and I agree, we kind of have this

46:13

battle for the soul of America when it

46:15

comes to capitalism right now. Right?

46:17

And that that's fundamentally because

46:19

too many people feel left out and left

46:21

behind. 60% of people will never own

46:24

assets that compound. Mondami's winning

46:26

the mayoral race in New York City. And

46:29

you know, they're doing it by being

46:30

anti-capitalist.

46:32

But if you look at these two charts,

46:34

I've shown them many times before it

46:36

just shows you that free market

46:38

capitalism is the most productive force

46:40

in the history of the world. Right? This

46:42

first chart just shows that GDP on a

46:44

global basis went parabolic at the exact

46:47

same time that capitalism was really

46:49

introduced and started taking off. And

46:51

you know, remind reminder like GDP is

46:54

important because it's that surplus for

46:56

humanity

46:57

with a fixed amount of labor and capital

46:59

that then leads to better schools and

47:01

better hospitals and and and drugs that

47:04

save lives and all the things that make

47:06

our lives better. And you can look at

47:08

this chart that shows the results. Fewer

47:11

mothers die in childbirth. The average

47:14

age you know, of life is extended. The

47:17

quality of life is higher. Literacy

47:19

rates are higher. Bill Gates extols upon

47:21

this in his in his annual letters. So

47:24

it's not just an investment account.

47:26

This is really a much much bigger battle

47:29

over where we want the country to go.

47:31

And I was very concerned as you know, a

47:33

few years ago that we were headed down

47:35

this path. Right? And the path is that

47:38

you can't have so many people left out

47:40

and left behind. So I think the answer

47:42

to socialism, which has not worked for

47:44

Europe, right? It Europe's in a disaster

47:47

relative to where they were 30 years ago

47:50

on a on on a global competitive basis.

47:53

And China, as you well noted, have

47:55

pulled themselves out of poverty by

47:57

leveraging capitalism, right? So the

47:59

answer to this drift into socialism is

48:01

more capitalism.

48:03

And the Invest America accounts, now

48:05

known as the Trump accounts right, are

48:07

more capitalism. They make every child a

48:10

capitalist from birth, a private owner

48:12

gives them a thousand bucks in a 401k

48:15

like account that they own and control

48:16

their family has on their phone. And so

48:19

I think that's a game changer, you know,

48:21

but you're right. We just got it passed.

48:22

So what where are we now? The Treasury

48:25

Secretary, Scott Bessent, has to

48:27

implement this. And by the way, this is

48:28

one of the largest consumer launches in

48:31

the history of government. So at the

48:33

start today, there are 65 million kids

48:36

in the country qualified for an Invest

48:37

America account. Every kid under the age

48:39

of 18.

48:41

And every kid under the age of two will

48:43

automatically get a thousand bucks in

48:44

their account. Right? So you'll probably

48:47

hear a launch starting in maybe early

48:50

December. We'll the launch the website.

48:52

People can sign up for this. Remember

48:54

the accounts have to be funded and

48:56

established by our 250th birthday, July

49:00

4, 2026. That's only nine months from

49:02

now. And I can tell you I've been blown

49:04

away by the secretary, Secretary

49:06

Bessent, the assistant secretary, Luke

49:08

Pettit, and the team at Treasury working

49:10

with the White House. They're attacking

49:12

this the way I would attack I would

49:14

expect a a Silicon Valley startup to

49:16

attack the problem. They've gotten a

49:18

great a great group of technologists.

49:20

Joe Gebbia helping to design the front

49:22

end of this, of course, from Airbnb. So

49:25

you know, we're we're on the verge now

49:27

of some major announcements, the the

49:29

start where people can start signing up

49:31

their kids. You know, and then the goal

49:33

is once we launch this, all these kids

49:35

will have these accounts. they'll be

49:37

able to roll them over into their

49:39

favorite, you know, bank, whether it's

49:41

Schwab or Fidelity or JP Morgan or what

49:44

have you. And starting on July 4th of

49:46

next year, Bill, as close to automatic

49:48

account creation as possible. So, you

49:50

have a child, the child's born, they get

49:52

a social security number, and they get

49:53

an account seeded with a thousand bucks.

49:55

From a kid's perspective, it's going to

49:57

look like I own a little bit of

49:58

Microsoft, and I own a little bit of

50:01

United Healthcare and Nvidia and

50:03

whatever. We're going to be able to

50:05

teach us, in fact, you know, your buddy

50:06

Tim, who's teaching financial literacy,

50:09

you know, we now have 30 states require

50:10

financial literacy requirements. We're

50:12

going to have this embedded in the

50:13

schools. Every kid's going to have this

50:15

on their phone. So, at any rate, it's

50:17

going incredibly well. I give I give

50:19

them a very high score, but we got to

50:20

get it done.

50:21

So,

50:22

let's talk about your book. Well, I've

50:24

been a huge fan of

50:26

of the speech you made on this, but I

50:29

love the title, Running Down a Dream.

50:31

What's the thrust of the book? I

50:33

remember

50:34

you know, kind of that lecture, but what

50:36

really compelled you to write it?

50:38

So, I was years ago, and this this is

50:41

probably going back 10 years. I was

50:43

reading a lot of biographies, and I

50:44

noticed certain patterns among people

50:48

with extraordinary careers. And as VCs,

50:50

we see a lot of patterns in businesses

50:52

and pattern recognition, and I just saw

50:54

patterns with people. And in the back of

50:57

my mind, I always wanted to do this

50:59

presentation. I I I kind of kept notes

51:01

on it like I would a unwritten Above the

51:04

Crowd blog post. And I had an

51:06

opportunity, I got invited, had an

51:07

opportunity to give the presentation to

51:10

the MBA class at the University of

51:12

Texas, and so I, you know, I worked on

51:14

it and put it together, made it nice,

51:16

and gave that presentation. They ended

51:19

up putting that on YouTube, and many

51:21

people have come to me and said that

51:23

it's changed their lives, encouraged

51:25

them to do different things. Certain

51:27

people in the in the in the media

51:29

industry noticed David Senra, who's got

51:31

the new podcast where he interviewed

51:33

Daniel Ek and Mike Cole. He's a big fan

51:36

of the presentation, talks about it a

51:37

lot in on his podcast. James Clear, who

51:41

wrote Atomic Habits, maybe one of the

51:42

best self-help personal development

51:45

writers out there. He retweeted it and

51:48

put a transcript on his own website. And

51:50

then a few people who are influential in

51:52

my life started prodding me, "Hey, you

51:54

should turn that into a book." And so,

51:57

eventually I got convinced. We talked to

51:59

publishers, they were interested, and so

52:02

I started working on this. Now, it took

52:05

a long time. And the the thing I would

52:08

say about it is that I hope that that

52:10

time equates to quality. Like, I was out

52:14

there really wanting to make it great.

52:15

And so, the book has an interesting kind

52:18

of novel architecture. We combine what I

52:20

call profiles, so stories of success

52:23

with principles, tools of success. So,

52:25

they alternate. So, you get a a story

52:27

maybe about someone you didn't know, and

52:30

how they started at the very bottom and

52:31

became successful, and then the types of

52:33

things they did. I mean, I do I do think

52:36

that the principles, these tools that

52:38

are in the book, are things people can

52:41

use. And I really wanted to be great.

52:43

It's done. I still need to record the

52:45

audio version. All the podcast fans of

52:48

ours tell me I have to do it. It has to

52:50

be my voice. So, I'm going to do it. I

52:52

hope people love it. I I hope it changes

52:55

their lives for the better. And what I

52:56

really want to encourage is people to

52:59

take a chance and and do what they

53:00

really love.

53:02

I think it's such an important topic.

53:03

You know, one of the things parents are

53:05

asking me so much these days is, you

53:08

know, what what what should my kids do?

53:10

Particularly give There's a lot of

53:11

anxiety in the world.

53:12

Right today about future careers. And

53:15

so, maybe just talk a little bit about

53:16

why this is so important now, because I

53:19

think the timing is really profound

53:20

here.

53:21

So, in in the introduction chapter, we

53:24

unpack a lot of this. And I don't think

53:26

anyone would be surprised when I read

53:28

some of this, but but Gallup Poll does a

53:30

career engagement study. They've been

53:32

doing it for a long time. I think in the

53:34

2023 when only 23% of people said they

53:38

were thriving or engaged at work, and

53:40

59% were unsatisfied. And that's just a

53:43

big universal survey. Everyone seems

53:45

aware that we've kind of moved to this

53:48

gauntlet that we've put our kids in as

53:50

they approach college and go through

53:52

college. In The Coddling of the American

53:54

Mind, Haidt and Lukianoff called it a

53:56

resume arms race. And

53:59

we've really taught them to be grinders,

54:00

but Angela Duckworth highlights that if

54:03

you have persistence but not passion,

54:06

you eventually recognize you're in a

54:08

grind. And and and and when you come out

54:11

of that, you're in a really tough spot.

54:13

And so, we've got people We've got these

54:15

kids on this runway. We We're telling

54:17

them like they have to pick a a major

54:19

even in their applications. So, they're

54:21

17. What do you want to do with your

54:22

life? What do you want to do? And And

54:24

they they really don't know. And one

54:26

thing we stumbled upon doing research on

54:29

the book, I was working with a

54:30

researcher. We did this survey and asked

54:32

people, if you could start your career

54:34

over again, would you do things

54:35

differently? And in that survey, 70% of

54:38

people said yes. And we did it again

54:40

with Wharton just to make sure we had,

54:42

you know, a true academic survey going

54:45

on, and they did a lot more people, and

54:48

that number was still six in 10. Six in

54:50

10 said if they could start a career

54:52

over, they'd do it again. And

54:54

there's a there's a great book. I read a

54:56

lot of books in writing my book, but

54:58

there's a great book called The Power of

54:59

Regret by Daniel Pink. He's He's a

55:02

well-known author, but he he has this

55:04

thing he calls boldness regrets. And he

55:07

said, "One of the most robust findings

55:09

in the academic research and on my own

55:12

is that over time we are much more

55:13

likely to regret the chances we didn't

55:16

take than the chances we did."

55:18

He says again, the surface domain,

55:20

whether the risk involved are education

55:22

or work or love lives, doesn't matter

55:23

much. What haunts us is the inaction

55:26

itself. And so, I think that I think

55:29

that ties really nicely with this idea

55:32

that if people could start over, they'd

55:34

do something they'd do something

55:35

different. There's a great video that

55:37

that Pink references that we can put in

55:39

the show notes where Bezos is asked

55:41

about the decision to leave D.E. Shaw

55:44

and

55:45

and start Amazon. And he said he used a

55:48

regret minimization framework. He said

55:50

only a nerd could do that, but he said

55:53

um

55:53

that he imagined himself being 80, and

55:56

would he care that he left D.E. Shaw

55:59

maybe for winning a bonus, you know, or

56:01

would he or would he care more that he

56:03

didn't take this chance, this kind of

56:05

instinctive chance that he felt like he

56:07

had to take. And he immediately after

56:09

thinking about it in in that way wanted

56:12

to go do it. And so,

56:13

>> Hey Hey Bill I have Bezos's regret

56:16

minimization

56:18

framework taped to my computer monitor.

56:21

There you go. I didn't even know that.

56:23

>> literally taped to my monitor. Yeah.

56:26

Powerful.

56:27

Yeah. So, so that's that's that's what

56:30

this is about. That's what this book is

56:32

about. That's who it's for. And I want

56:34

more people to take a flyer and go do

56:37

what they love. You know, we have a

56:39

phrase I use in the book, life is a use

56:41

it or lose it proposition. Totally.

56:44

One shot deal, man. Well, how do you

56:46

plan to promote it? It comes out in

56:48

February, late February. And so, I'm

56:50

just getting started in that process. If

56:52

people have ideas they want to share

56:54

with me, please reach out and let me

56:56

know.

56:57

>> I'll host I'll host a book launch event,

56:59

Bill. Okay. We We've got We've got a lot

57:02

of fun stuff planned, but but but uh but

57:05

um I need to record the audio book. I I

57:07

know that's going to take a a lot of

57:09

time. I'm excited. There's a handful of

57:12

people that have read it, maybe maybe 50

57:14

in the publisher and whatnot, and nearly

57:16

every one of them tells me that they

57:18

immediately thought of three or four

57:20

people they want to give it to. And so,

57:22

I hope there's kind of a viral component

57:24

to it because people have that reaction.

57:26

But, you know, if you're feeling stuck

57:28

in your career, I you should read it. If

57:30

you're a teenager or young adult who

57:32

feels overwhelmed by people telling you

57:36

What do you want to major in? Where do

57:37

you want to go? What are you going to do

57:38

with your Like, I think this book

57:40

won't put more pressure on them. I think

57:42

it'll actually relax them and give them

57:44

a framework that feels like a lot more

57:47

personal to themselves and like they're

57:49

a lot more in control. If you're a

57:50

parent that wants to help a child on

57:52

that journey, I think parents sometimes

57:54

overly push kids into the lawyer doctor

57:57

banker framework. I'm not sure that's

58:00

healthy, especially in this AI world

58:02

where those jobs may be under risk as

58:04

well. And then maybe if you're, you

58:06

know, an administrator or someone in the

58:08

type of role that guide people in career

58:10

decisions, hopefully you'll like it as

58:11

well. But, we'll put the pre-order link

58:14

in the in in the show notes. I will put

58:16

it on my X feed. Please go out and

58:19

pre-order the book. I think it'll help

58:21

it be reach more people and and be

58:23

successful. Well, I think it's

58:26

it's going to be hugely impactful. And

58:28

it's the type of stuff of consequence.

58:30

I'm I'm I'm just, you know, I'm thrilled

58:32

that you're doing it. I'm thrilled that

58:33

you're taking the time to do it. I know

58:35

that's not the only thing that you're

58:37

you're thinking about. You have these

58:39

other, you know, big topics that you're

58:41

thinking about as well, Bill. We've

58:43

talked about them here, and I'm sure we

58:44

will continue to. Regulatory capture, US

58:47

healthcare, nuclear, et cetera. What are

58:50

you thinking about

58:52

with respect to those things? So, I'm

58:54

You going to write a book on every one

58:55

of them? No, I That's well, I could, but

58:58

it's not it's not my goal. My My goal is

59:01

to just go spend more times on these

59:03

really big problems and see if I can be

59:05

helpful in any way. I've spent a career

59:07

kind of breaking down and analyzing

59:09

different situations. I mean, two two of

59:11

my favorite podcasts we've done, and and

59:14

I hear I hear about this from the

59:16

community as well,

59:18

the one we did at Diablo Canyon, and

59:20

then

59:21

the one about around my China trip. And

59:24

those types of of work are very

59:27

rewarding for me, but they also were

59:29

learning expeditions. You know, I went

59:31

out and put in more hours for those

59:34

episodes than others.

59:35

>> Right. And the the nuclear one in

59:37

particular, you know, one of the things

59:39

people ask me, why would I want to go do

59:40

this? You know, we were a small part of

59:43

a movement to kind of change the mindset

59:47

on nuclear energy. And there were there

59:48

were people that put a lot more effort

59:50

into us. I'm not trying to take credit

59:52

for it. But, you know, the fact that

59:54

Steve Pinker was out there, Elon, you

59:56

know, our stuff like eventually

59:58

happened. Like overnight, it seemingly

60:01

overnight, we went from a very negative

60:03

mindset towards nuclear energy to

60:05

recognizing that it's very clean energy

60:08

and something that that can really help

60:10

save the planet. And so, that type of

60:12

meme flip, if I could go achieve more of

60:15

those in these other areas, I would

60:17

consider it a win. So, that's what's

60:19

motivating me. I'm really looking

60:20

forward to it. I'm kind of fired up and

60:22

nervous at the same time. But but that's

60:25

what that's what I'm thinking about.

60:26

There'll be more to come on that in

60:27

terms of what the actual platform looks

60:29

like. I'm still working on it. But for

60:30

now, I'm going to I'm going to sprint

60:33

into February to make sure the book does

60:35

well. I couldn't be more stoked for you.

60:36

This has been a total blast. You and I

60:38

have been chopping it up for, you know,

60:40

for a couple of decades, but doing this

60:42

last 2 years together, pounding out

60:44

these has been a lot of fun for me. I'm

60:46

sure we'll continue to chop it up every

60:48

day. And, you know, I'm sure that you'll

60:50

find some topic that you can't live

60:53

without exploring on

60:54

>> Can't resist talking about. Exactly. So,

60:56

so we'll we'll we'll get you back on.

60:58

But I'm going to give you the last word,

61:00

Bill. It's awesome awesome to hear about

61:01

all of this, and I'm super excited for

61:03

the book. Well, I would I would just,

61:05

you know, end the way I started, Brett.

61:06

Thanks to you. It's been fun working

61:08

together on this and and and doing it

61:11

every week. It does force you to stay

61:13

fresh. You have to read everything you

61:15

possibly can, which I'm sure is super

61:17

helpful to you as an investor. And then,

61:19

thanks to thanks to all our listeners.

61:21

Like

61:23

I'm

61:23

I'm sure some of them are feel going to

61:25

feel like I'm letting them down, and I I

61:27

feel the weight of that. Um but

61:28

hopefully they'll recognize that I'm

61:30

going to go try and put put my work

61:34

effort to good to good causes.

61:45

As a reminder to everybody, just our

61:47

opinions, not investment advice.

Interactive Summary

In this episode, hosts Brad and Bill celebrate two years of their podcast by discussing their mission of analyzing markets and investment opportunities through an analyst's lens. A significant portion of the conversation focuses on the 'AI money bubble,' where Bill shares his concerns regarding the sustainability of current AI-related capital expenditures and the potential risks of circular revenue transactions. Additionally, the pair discusses their opposition to state-by-state AI regulation, advocating for federal preemption to maintain US global competitiveness. The episode also highlights the potential of stablecoin technology and PIX-like payment systems to modernize financial infrastructure. Finally, Bill announces his departure as a co-host to focus on his new book, 'Running Down a Dream,' and other initiatives aimed at addressing systemic issues in areas like US healthcare and energy policy.

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