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Kara Swisher Calls Out Elon's "Historically Accurate" AI Odyssey | Pivot

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Kara Swisher Calls Out Elon's "Historically Accurate" AI Odyssey | Pivot

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1596 segments

0:00

If they did a microdrama about your

0:02

life, what would it be called?

0:04

>> CAOS.

0:05

>> Okay.

0:09

>> [music]

0:11

>> Hi everyone. This is Pivot from New York

0:13

Magazine and the Vox Media Podcast

0:15

Network. I'm Kara Swisher.

0:16

>> And I'm Scott Galloway.

0:17

>> Scott, we're here in California, the

0:19

hellscape behind us. It's really quite

0:22

>> It's awful here. I don't know how people

0:24

survive this dry weather, the breeze,

0:27

the ocean, the In-N-Out Burger.

0:29

>> Yeah.

0:30

>> God, awful.

0:31

>> Yeah. So, we're here at a conference.

0:33

We're recording this live in front of a

0:35

live audience at CAO Summit in Los

0:37

Angeles. This is the Terranea where

0:39

again I used to run the Code Conference

0:42

here for many, many years and

0:43

>> Yeah.

0:43

>> many memories. There There really are a

0:45

lot of memories here of doing things.

0:47

>> Yeah, this is Yeah, you're absolutely

0:49

This is kind of where you This is where

0:51

you made Mark Zuckerberg sweat.

0:53

This is It's spectacular on it.

0:55

>> sweat. He sweat cuz he had a panic

0:57

attack.

0:58

>> Uh okay.

0:59

>> Okay.

1:00

>> Yeah, no, I think you pressed him.

1:02

>> real memory for me is this is actually

1:03

the last interview

1:06

that Steve Jobs ever did. He did several

1:08

interviews here, but the last one before

1:09

he died was here, which was really an

1:12

amazing interview. It was actually just

1:13

in this ballroom here.

1:15

And one of the things that I remember

1:18

before that when we did Gates and Jobs

1:20

together is

1:21

when we had Mark here the year he sweat.

1:24

All he wanted to do he was was an

1:25

up-and-coming entrepreneur. The Facebook

1:28

wasn't very big. And all he wanted to do

1:31

was meet Steve Jobs, like kind of like a

1:33

fanboy, which was really something else.

1:35

So, I introduced them,

1:37

which was kind of a moment. It was

1:39

actually literally right down on this

1:40

lawn right here. So, it's Place is full

1:42

of memories. So, what have you been

1:44

doing this week, Scott? You We went to

1:46

You just became a regent of the

1:47

University of California.

1:49

>> Yeah, and and thank you.

1:51

In other news, Joe Rogan has been

1:53

appointed to head of the CDC.

1:55

>> Yeah.

1:55

>> Did you Let me be honest, when you saw

1:57

this morning, did you think it was The

1:58

Onion?

1:59

>> I did. I did. I didn't think it was

2:01

real. I was like, what is Gavin up to?

2:02

Like, what was happening? And they they

2:04

also called you the left-wing Joe Rogan.

2:06

>> Yeah.

2:06

>> In the story in the New York California

2:08

Post in New York Post.

2:09

>> graduates of the University of

2:10

California do we have here?

2:13

So,

2:14

um, I you know, I don't like to talk

2:16

about myself, but I will for just a

2:17

moment here. Um,

2:18

uh, so everyone or when you get to a

2:21

certain age, you want to be on a

2:22

important boards. You want to be on uh,

2:24

you know, organizations that are

2:26

innovators. I would argue that the

2:28

University of California is the greatest

2:29

innovation machine in history. We have

2:32

uh, 75 Nobel Prizes, four of five last

2:35

year,

2:36

uh, 300,000 students, 200,000

2:39

uh, faculty, um, 7,500 PhDs, more

2:44

startups creating more value than any

2:46

nation in history with the exception of

2:48

the US and China,

2:49

and consistently punching out, you know,

2:52

giving unremarkable people remarkable

2:55

opportunities. And just a flashback to

2:58

when I applied on UCLA Berkeley,

3:01

admissions rate when I applied was 74%

3:03

to UCLA.

3:05

And I was one of the 26% that didn't get

3:07

in.

3:07

>> Wow. Well done.

3:08

>> True story.

3:09

>> Well done.

3:09

>> installing shelving, came home, my mom

3:11

said, let's appeal. And uh, I remember

3:15

when they called me and said, you're not

3:16

qualified, but you're native son of

3:18

California, we're going to let you in.

3:20

And then I rewarded them with a 2.27

3:23

GPA, true story from UCLA. And this is

3:25

how

3:26

>> you got 2.27?

3:28

>> to graduate.

3:29

>> It's not easy to do, to get a 2.27.

3:31

>> it's not easy.

3:32

>> Would you not go to classes?

3:33

>> No, I learned I learned every line from

3:35

Planet of the Apes and how to make bongs

3:37

out of household items.

3:38

>> Okay. All right.

3:39

>> And then this is how different the

3:41

University of California was back then.

3:43

I got into Berkeley's Haas School of

3:45

Business with a 2.27 GPA.

3:48

And then quite frankly, like a lot of

3:49

men who have a immature prefrontal

3:51

cortex, I got my [ __ ] together.

3:53

And so, uh, just a virtue signal, my my

3:56

sole mission is accessibility and

4:00

figuring out a way that we can let in

4:01

more unremarkable kids that might get to

4:03

do remarkable things. Anyways, that's my

4:06

my That's my story. I'm sticking with

4:08

it.

4:08

>> I'm still stuck with 2.27.

4:11

Is that like a D?

4:13

>> A lot of I had nine F's. So,

4:16

I got a job at Morgan Stanley cuz I lied

4:18

about my grades.

4:19

And I but I I wasn't going to be able to

4:22

graduate cuz I couldn't pass calculus. I

4:24

failed it twice and I was failing it but

4:26

and if you fail something the third time

4:27

at UC, you're not allowed to take the

4:28

class again. And I was going to have to

4:30

become a psych major and go seven years

4:32

undergrad.

4:33

>> Wow.

4:33

>> And so, I looked up the nine F's that

4:35

I've got. This is all true. And I went

4:37

to all of these professors and I walked

4:38

in and said, "If you give me a D, I give

4:40

you I get the units and I get to go to

4:41

Morgan Stanley and you get to give this

4:43

valuable seat to someone else." And

4:45

within about 20 minutes, I got three

4:47

professors who were basically like, "You

4:49

disgust me." And

4:50

>> [laughter]

4:51

>> and I was off to Morgan Stanley to build

4:53

the world's fixed income.

4:54

>> Wow.

4:55

>> And then '08 happened.

4:57

>> Yeah.

4:57

>> Put the dots together.

4:58

>> Wow. That's amazing.

5:01

What do you think I got in college? My

5:02

grade point average?

5:03

>> imagine you got every award and were

5:05

recruited by the best companies and the

5:06

best newspapers in the world.

5:08

>> No. No, I was rejected by most

5:09

newspapers. Cuz there weren't jobs then.

5:12

The journal journal journalism was

5:13

undergoing a crisis.

5:13

>> You went to Georgetown, no?

5:14

>> I did. Yeah.

5:16

>> Yeah. Yeah. Yeah.

5:17

>> to the foreign service school.

5:18

>> That's right.

5:19

>> Yeah.

5:20

>> Sorry. Carol wanted to be in our in our

5:22

work in our security apparatus.

5:24

>> I would. I wanted to be in the military.

5:25

>> because of her

5:27

her her

5:28

um

5:29

lifestyle.

5:29

>> Yes, my lifestyle.

5:32

>> Just got very quiet in here.

5:34

>> [laughter]

5:34

>> No, I was gay. I wasn't allowed to be in

5:36

the military. So,

5:37

>> There you go.

5:37

>> um and I always joked that I would be

5:39

the admiral Trump would be firing right

5:40

now. um

5:42

out from out of the military, which

5:44

would

5:44

would be fantastic in many ways. I'd be

5:46

wearing these glasses for sure. So,

5:48

we're going to move on with the show.

5:49

We're going to talk about it. I actually

5:50

just I just got here because I spent a

5:52

lot of time with three possible

5:54

Democratic candidates.

5:56

>> Go on.

5:56

>> I So, I went I interviewed Gina

5:58

Raimondo, who is the former governor of

6:01

Rhode Island.

6:02

>> Yeah.

6:02

>> Uh and also the Commerce Secretary who

6:04

passed the Chips Act and and the

6:07

infrastructure bill. Um I was with Pete

6:10

Buttigieg in Michigan, where he lives,

6:12

Traverse City.

6:13

>> Yep.

6:13

>> Um and I was with J.B. Pritzker this

6:15

morning. So, it was interesting. It was

6:16

a little tour of the day.

6:17

>> the three have no chance. One's too

6:18

female and one's too short.

6:20

>> Okay. All right.

6:21

>> True story, folks. We're highly sexist

6:23

and looksist in this nation. Absolutely

6:25

no chance.

6:26

>> Well,

6:27

we'll see. In any case, they were they

6:28

were very impressive.

6:30

>> True.

6:30

>> All right, who's going to be the

6:31

presidential candidate then for that for

6:33

>> It'll either be Gavin Newsom or TBD.

6:35

America likes to fall in love with

6:37

someone they don't know well before Fox

6:38

destroys them. It'll be a Democrat.

6:41

>> Right.

6:41

>> America likes to go back and forth, but

6:42

tall, handsome, Californian who's got a

6:45

good story.

6:46

J.B. Pritzker, outside shot, good dad

6:48

energy. Ossoff, if he can maintain the

6:50

whole Camelot Kennedy thing, but Fox

6:52

will soon turn its sights on him and

6:54

we'll find out something weird. That

6:55

guy's too

6:55

>> He's being called Hotlanta now.

6:57

>> That guy's too perfect. There's got to

6:58

be some weird [ __ ] in there.

7:01

That's who I would bet on.

7:02

>> And here is our political pundit going

7:04

on. Anyway, we're going to talk about

7:05

things.

7:05

>> I was the guy that Mondale poster in my

7:08

fraternity room. And I supported

7:09

Dukakis. I just hope I hosted a

7:11

fundraiser in 2020 for Michael Bennet.

7:13

So, I am not good at picking candidates.

7:15

>> Let Let me say, ladies and gentlemen,

7:17

2.27 average.

7:19

>> Um so, I'm going to go on to the topics.

7:21

This is something you do know a lot more

7:23

about. Donald Trump's tariffs are making

7:25

their not-so-triumphant return. Uh he

7:27

imposed a 50% tariff on Canadian goods

7:30

like alcohol, milk, and hockey sticks

7:32

this week, justifying the move with an

7:34

unused provision of the 1930

7:37

Smoot-Hawley Act.

7:38

>> Smoot-Hawley.

7:39

>> Smoot-Hawley. Uh this is just the

7:40

beginning. Trump is reportedly set to

7:42

unleash new tariffs on a dozen countries

7:44

cuz it worked so well the last time,

7:46

given his 10% uh, temporary global

7:48

tariffs are about to expire. Uh, the

7:50

Supreme Court struck down his liberation

7:52

day tariffs earlier this year, but the

7:54

White House keeps attempting various

7:55

workarounds given the havoc that the

7:58

Iran war is wreaking on the economy, um,

8:00

which is still ongoing, uh, even though

8:03

it was supposed to be over many times.

8:05

Um, is it really now the time to impose

8:07

tariffs?

8:08

>> Well, look, if you were were running

8:10

above 4% inflation, and if you were and

8:13

it came down, but it looks like it's

8:14

flipping back up. That doesn't sound

8:16

like a lot, but that means if you're

8:18

about to have a kid, we just met uh,

8:19

someone who's expecting. By the time

8:21

that kid goes to college, if it

8:22

maintains a 4%, that means tuition

8:25

uh, 40,000 goes to 80,000. So, inflation

8:29

is how countries basically go

8:33

devolve into chaos. Like, the Fed is

8:35

there basically to ensure employment

8:37

growth and to make sure inflation

8:38

doesn't get out of control. And you can

8:40

have a lot of unemployment, and people

8:42

don't riot, but when people are working

8:45

two jobs, and they can't afford, you

8:47

know, bread, that's when they that's

8:49

when they overthrow the government. So,

8:50

inflation is

8:51

is really scary. And if you were to

8:53

reverse engineer that four points, two

8:54

of the four points can be attributed to

8:56

one, the skyrocketing energy crisis

8:58

energy prices and tariffs. Tariffs will

9:01

take approximately

9:03

uh, $1,000 toll on every household this

9:05

year. It'll go to $1,200 on every

9:08

household average if these tariffs go

9:09

through.

9:10

And about 90% of uh, those tariffs are

9:13

being borne by US consumers. When I was

9:17

in graduate school, we we literally used

9:18

to look at tariffs as an example of

9:20

could you believe how stupid we were to

9:21

do these things?

9:22

>> Right, specifically the Smoot-Hawley

9:24

Act.

9:25

>> Exactly, and it was considered

9:27

antiquated and something we would never

9:29

do again. And then unfortunately,

9:31

probably our strongest ally, largest

9:33

undefended border in the world is

9:34

Canada.

9:36

80% of their exports kind of mean, this

9:39

is really ugly for Canada. 80% of their

9:41

exports come into the US.

9:44

And to believe that somehow part of this

9:46

whole narrative is this grievance

9:48

culture, that we're victims, that we're

9:50

being taken advantage of. If there's

9:53

anyone being taken advantage of, it's

9:55

our trading partners cuz the way if you

9:57

think about what we sell into Canada, we

9:59

sell iPhones and JP Morgan and

10:01

advertising services into Canada. Those

10:04

are high-margin products. The margin on

10:07

an iPhone is 40 or 60 points. So, on

10:10

$100 worth of iPhones that we ship into

10:12

Canada, we get to hold on to 40 or 60

10:14

bucks, call it 50 bucks. Apple trades at

10:16

a P of 30. So, that's about $1,500 in

10:19

shareholder value. When they sell $100

10:22

worth of timber

10:23

>> Or hockey sticks or hockey sticks.

10:25

>> you're talking about 20 or 30 points of

10:27

gross margin in a company that trades at

10:29

a multiple of 10. So, for every dollar

10:31

we ship over, we get about 20 in or 10

10:34

to 20 in shareholder value for every

10:35

dollar they sell of their stuff and

10:37

they're getting two or three. So,

10:39

there's there's any dramatic asymmetry

10:42

in trade that's accruing to one partner,

10:44

it's the US. If anyone should be putting

10:46

tariffs on a nation,

10:48

logically, they would be putting tariffs

10:50

on us. So, the net effect of tariffs is

10:53

that the market for our products

10:56

declines or shrinks, but our products,

10:58

the things we buy, become more

10:59

expensive.

11:00

>> partners or allow other partners in,

11:02

whether it's Chinese cars or Chinese AI

11:05

open-source models or whatever they

11:07

happen to buy, they will have stronger

11:10

relationships with others.

11:12

Particularly China.

11:14

>> Oh, absolutely. I think they've I mean,

11:16

they're going to pay a huge price.

11:19

And I've said this It's like that Animal

11:20

House film when Otter says to the guy

11:23

who apparently lent his parents' car car

11:26

to the fraternity brothers and they

11:27

crashed it and he looks at him and said,

11:29

"You [ __ ] up. You trusted us."

11:31

That's how Canada feels about the US

11:32

right now. They [ __ ] up, they trusted

11:34

us. They thought they had a great ally,

11:36

they thought they had a great trading

11:37

partner. They don't. We were willing to

11:39

basically neuter them economically.

11:42

>> do you think Trump is doing this? I

11:43

mean, he was mad about the wildfires. I

11:45

think they were sending us beautiful

11:47

orange skies in honor of him. Um but uh

11:50

but why?

11:52

>> I I can't I can't imagine a more elegant

11:54

way to reduce the prosperity of

11:55

Americans than tariffs. I don't

11:57

>> No.

11:58

>> I can't understand what he's thinking.

12:00

Even supposedly his inner circle has

12:01

said this is a terrible idea.

12:03

>> Right. And yet

12:04

>> And yet here we are. You know, I don't

12:05

>> Um another story, Calsher just launched

12:08

uh a new midterms hub tracking real-time

12:10

odds for every House and Senate race

12:12

across the country. Calsher is calling

12:14

it a one-stop shop for election

12:16

forecasting serving the public,

12:18

campaign, journalists, policymakers, and

12:20

researchers. By the way, roughly 75% of

12:22

people are going to Calsher are there to

12:24

check odds, 25% are trading, more than

12:27

$30 have already been traded in wages

12:29

about the control of the House and the

12:30

Senate, and a spike in the prediction

12:32

market volume is expected as we get

12:34

closer to the election. Now, you you put

12:37

a lot of faith in the predictions

12:38

market. I find them very game-oriented,

12:41

meaning they can be easily gamed uh by

12:44

by not-so-great people. I also have an

12:46

issue with Polymarket uh given the kind

12:49

of things they allow people to bet on.

12:51

Uh there's an interesting story in the

12:52

New York Times today about an investment

12:54

firm that Don Jr. is involved in that

12:56

somehow has 200% returns,

12:59

which are unprecedented and is well,

13:01

probably because of his large brain. Um

13:04

I'm guessing not. But talk about about

13:07

these markets cuz if you were advising a

13:09

campaign, what would you tell them about

13:11

them? You put a lot of faith in them, I

13:13

put less so.

13:15

>> Yeah, so I'm not I'm not making a

13:16

qualitative judgment on whether

13:18

prediction markets are good or bad. I

13:19

have real concerns around gaming and

13:20

gambling and its impact on young men,

13:23

but polling companies are basically

13:25

going out of business

13:27

because if you want to know how someone

13:29

what someone really thinks, don't ask

13:30

them what they think, ask them where

13:32

they're putting their money.

13:33

That is it ends up that the wisdom of

13:36

crowds in terms of their what they're

13:37

actually wagering on, what they're

13:39

actually voting with their wallet.

13:41

So, for example, Cal Calshi has never

13:43

gotten a fed rate decision wrong. And

13:46

it's the data I've seen is it's they're

13:48

78% of the time they're able to predict

13:51

an outcome in an election, which is

13:53

greater or they're 78% more accurate.

13:55

And some polling firms are basically

13:57

going out of business because think

13:58

about the people a polling firm calls

14:01

that you pick up your phone, you fill

14:02

out a survey. That's not always very

14:04

accurate in terms of the actual

14:06

election.

14:07

Um so, these these firms what's

14:09

interesting about the election side,

14:11

it'll get more headline news than it is

14:13

a business. The total election business

14:16

for Calshi is somewhere between 1 and 2%

14:19

of the revenue.

14:19

>> Right.

14:20

>> Five and a half billion dollars was

14:21

wagered on the World Cup final. This is

14:23

a tiny business for them. But it gets a

14:25

lot of headline press because it's

14:27

pretty accurate. They're predicting I

14:29

think about a 70 or 78% likelihood that

14:32

Democrats overtake the take the

14:34

take the house, but only 45% that they

14:37

take the Senate.

14:38

But I find that that data so far, if I

14:40

think of a source of truth or accuracy,

14:44

I think of the I go to prediction

14:45

markets.

14:46

>> Polymarket and Calshi? These are the two

14:49

big ones.

14:50

>> So, I go to

14:51

>> And apparently Facebook is also

14:52

considering putting one together.

14:54

>> Yeah, I I think I think of Calshi just

14:56

cuz I think it's a bigger and has more

14:58

liquidity and has more

15:00

just more volume of people spending

15:02

their money, if you will or

15:03

>> What's the biggest worry you have of

15:05

them right now right now? Because as

15:07

they become more and more cuz they were

15:09

betting on drug outcomes, they're

15:11

betting on illnesses, disasters,

15:15

you know, the apparently Trump, the guy

15:17

who does the teleprompter for Trump was

15:19

betting on what he would say in the

15:20

speech cuz since he knew

15:23

and is is under investigation for that.

15:26

>> Yeah, there's some scenarios where you

15:28

could see someone

15:30

finding a market where they say, "Okay,

15:33

someone's going to be hurt or killed or

15:34

whatever." And they start doing strange

15:37

acts in order to bet money. But that's

15:41

no different than fixing like the World

15:42

Series. And then there's fears around

15:44

insider trading, but I think ultimately

15:46

the insider trading will be arbited out

15:48

when people realize

15:50

that if there's anyone that could have

15:51

inside information, they shouldn't bet

15:53

on the other side.

15:55

My biggest fear is very simple, and that

15:57

is we have millions of young men who

15:59

every day are being seduced by screens

16:01

and algorithms to spend another second

16:03

on a screen and another second less with

16:06

their relationships. And we're slowly

16:08

but surely evolving a new species of

16:10

asocial asexual males. They become

16:12

obese, depressed, anxious, and start

16:14

blaming women for their romantic

16:16

problems and immigrants for their

16:17

economic problems. And some we're

16:19

producing a cohort of really shitty

16:21

citizens that threaten the nation.

16:22

That's what I'm worried about, Carol.

16:24

>> All right, other than that, Cal, she's

16:25

fantastic.

16:26

>> Yeah.

16:28

>> All right, let's go on a quick break. We

16:30

come back, speaking of the midterms,

16:32

we'll talk about Anthropic's big spend.

16:35

>> Support for the show comes from

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Coreweave.

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AI isn't just a new tool, it encompasses

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so much more. It's spurring a revolution

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17:31

>> Scott, we're back. Um Anthropic is

17:33

making a big bet on the midterms,

17:35

recently doubling its spending to a

17:36

total of $40 million. The

17:38

money is going into Public First Action,

17:40

a PAC pushing for AI regulation. It's a

17:43

counterweight to leading Future, a PAC

17:46

backed by Andreessen Horowitz and

17:47

OpenAI's Greg Brockman. It's not just

17:50

exacts filing show Anthropic and OpenAI

17:52

employees are emerging as a new donor

17:54

class, pouring money into races.

17:56

Anthropic is also writing big checks

17:58

outside of politics. A federal judge

18:00

approved the company's $1.5 billion

18:02

settlement with with authors whose work

18:05

were used to train Anthropic's AI model

18:08

Claude, their essentially thievery of

18:10

copyright. Uh the crypto folks had a

18:13

major impact on the last election. Is

18:15

this the AI election? Um we had talked

18:17

about that. Obviously, Sherrod Brown got

18:19

his he may be back. Uh got got whacked

18:22

by the crypto people. Uh I think Elon's

18:24

now put $90 million into the midterms

18:27

right now. Is it again going to be Is it

18:29

all about AI at this point? Well, I've

18:31

been doing all the talking. What do you

18:32

think?

18:32

>> I I think that's what they're doing. I

18:34

think they really very much want to

18:36

control. They're very worried about a

18:37

couple of things. One is

18:40

um the regulation around the country

18:42

around AI in states. They're

18:44

particularly nervous about that, of

18:46

which are popping up everywhere, the

18:47

uses of AI. They're worried about the

18:50

uses um I think the the idea of social

18:52

media being banned, they're sort of

18:53

getting used to that. And France just

18:55

did that. Um I think that they are

18:58

worried about data centers. And as you

19:00

say, as a proxy for everything else. a

19:01

long talk with someone from one of these

19:04

companies today about what to do and

19:06

maybe change their tone uh with citizens

19:08

on data centers uh cuz they realize they

19:11

look like villains. Um and what can we

19:14

do to not look like villains and they

19:15

were asking me at my advice and I said

19:17

well maybe don't be villains. Um which

19:20

they were like we're not villains. I'm

19:21

like people hate you. Which is what I

19:23

had told them at a dinner a while back.

19:26

I said people hate you and they're going

19:27

to hate you more. Um so I think them

19:30

entering even more politics is really

19:32

problematic for all of us because you

19:35

know

19:36

we don't want to get into a sharks

19:38

versus jets thing between the anthropic

19:40

people and the um

19:42

and the open AI Elon Musk and Andreessen

19:45

gang essentially. That's what it feels

19:47

like. Um because I don't think it's in

19:49

the interests of good legislation. I

19:52

don't think it's the interest of safety.

19:53

I don't think it's in the interests of

19:55

bringing AI to all of us. I think it's

19:57

the interests of protecting what their

19:59

businesses essentially.

20:01

>> Yeah, the way I read this so um

20:03

anthropic is claiming they're putting

20:05

money into an organization that's

20:06

actually promoting

20:08

stricter AI regulation which feels sort

20:11

of counterintuitive cuz typically an

20:12

industry or a pack representing a an

20:15

industry

20:17

gives money to try and stave off or

20:18

delay and obfuscate regulation.

20:21

I sort of saw it as they recognize how

20:23

powerful and what a great ROI it is to

20:26

invest in Washington. So this is sort of

20:27

their ticket to the conference where

20:29

they're going to network and establish

20:31

relationships should they need

20:33

uh those relationships.

20:35

>> I don't think any of them have an

20:36

interest in any actual legislation. None

20:39

at all.

20:40

>> I think this Mark Zuckerberg did this.

20:41

Please regulate us. Please regulate us

20:43

and then did everything possible to stop

20:45

it. Uh even Apple does it. They we talk

20:48

about age verification and other things

20:50

and they block it everywhere you go and

20:51

I don't think I think these people like

20:53

no regulation and I think this money is

20:56

incredibly dangerous by this one group

20:59

of people. Um no matter what side

21:01

they're on. I I mean I don't like either

21:03

side pretty much.

21:04

>> Yeah, look it's all all roads lead to

21:06

the same place unless we overturn

21:08

Citizens United and we get some

21:10

semblance uh

21:12

I mean

21:13

I I think that money is going to decide

21:16

this election for the most part or have

21:19

a big influence on it and

21:21

companies running unfettered

21:23

it's just uh anyway we I'm I'm a broken

21:25

record.

21:25

>> Well, speaking of that, they may not

21:27

have unfettered money. Executives at

21:28

OpenAI and Anthropic are warning about

21:30

the rise of cheap AI from China, which

21:32

we've talked about a lot, saying it will

21:33

lead to security risks and a dystopian

21:36

future. The Trump administration says it

21:38

will look into whether AI has been

21:39

distilled from American models, of

21:41

course they have, saying it doesn't

21:43

support IP theft, which is rich from

21:45

these people.

21:46

Um in an attempt to gain ground over

21:48

China, the US plans to overhaul federal

21:50

funding to support individual scientists

21:52

and the use of AI rather than

21:54

universities, uh which is individual

21:57

This is a real problem. They're starting

21:58

to give money to individual star

22:00

scientists. Meanwhile, on a security

22:02

front, OpenAI models went rogue and

22:04

hacked a startup, Hugging Face, during a

22:06

security test. Um they were bragging

22:09

about it a little bit. It was

22:10

unprecedented that we managed to attack

22:13

another company. What happened was the

22:15

AI jumped out of the sandbox it was in

22:17

and went around all of OpenAI's security

22:21

uh efforts and and went and attacked a

22:24

company on its own. Um so I to me, I'm

22:28

not sure these executives are worried

22:29

about the future or just worried about

22:31

competition. How do you look at this?

22:34

You were the first to mention this to

22:35

me, this this threat from um

22:39

this threat from China.

22:40

>> Well, in January of 2025, which was not

22:43

long ago, about 10% of token usage was

22:46

coming from Chinese open weight models.

22:48

As of today, it looks like it's 58%.

22:50

So, what you effectively are saying is

22:53

this bifurcation in the market where

22:56

American models are turning into German

22:58

automobile manufacturers.

23:00

They're high-end, they're more

23:01

expensive, and even though you have 58%

23:04

token usage from the Chinese models on a

23:06

revenue side, the American models, the

23:08

Frontier models, are much bigger

23:10

businesses because Deep Seek charges

23:12

about 1/35

23:15

of the price for token usage. So, I

23:17

think this is just turning into the

23:19

automobile market where you're going to

23:20

have a high-end BMW or Mercedes,

23:24

uh and then you're going to have Toyota,

23:26

Hyundai, you know, uh

23:28

Honda. So,

23:31

they'll produce more cars, they'll

23:32

produce more AI, it'll be lower margin,

23:35

but the market's bifurcating. And we're

23:37

There's still a market for the Frontier

23:39

models. So, there's certain applications

23:40

where people want the best, latest,

23:42

greatest model with more security, more

23:43

testing, someone you can sue, someone

23:45

you can call with customer service

23:46

complaints. They'll probably do a better

23:48

job of hiring some of the people in this

23:51

room to figure out how to monetize it

23:52

through advertising.

23:54

But, you have now have, essentially, I

23:57

would argue

23:58

that AI,

24:00

I mean, on a volume level, that China

24:02

has already won. And it's not a race to

24:04

see who has the smartest model. It's a

24:07

race to see who can put the most AI in

24:10

the most people's hands. And right now,

24:12

right now, that's China.

24:13

>> And the backlash to data centers will be

24:15

part of that. They'll be able to do

24:17

They'll be able to do more compute

24:18

there. They'll be able to get it to more

24:20

people.

24:21

Um and the backlash to data centers is

24:23

these companies' own fault for the way

24:24

they behaved. Even if some of them, you

24:26

know, I ran into the mayor of Lansing,

24:29

Michigan who had a great deal from one

24:31

of these companies, and the citizens

24:33

just didn't want it anyway cuz they hate

24:35

them. Like that I keep which I keep

24:36

telling them. I don't think they like me

24:38

saying that, but they do. People hate

24:39

them. Um All right, let's go on a quick

24:41

break. When we come back, we'll talk

24:42

about France banning social media for

24:44

kids under 15.

24:46

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25:48

>> France has banned social media for

25:49

children under 15. It's the first

25:51

country in the EU to pass a blanket ban,

25:53

and the bill also bans the use of mobile

25:55

phones in high schools. Last year,

25:57

Australia banned children under 16 from

25:59

having social media accounts, and the

26:00

ban is failing to keep teens off the

26:03

platforms.

26:04

Um

26:05

This is This is a

26:07

worldwide trend, and it it will be

26:09

coming here at some point and relatively

26:12

soon. And I suspect the social media

26:14

companies, some of them are going to get

26:15

on board with it.

26:18

>> Yeah, look, we we've been talking about

26:19

this for a long time. We're going to

26:21

We're going to look back on this era, I

26:23

think, and regret and commit a quality.

26:25

We're going to regret

26:26

Citizens United, money overrunning

26:28

Washington, but I generally believe our

26:31

biggest regret for parents is we're

26:33

going to look back and think, "How did

26:34

we let this happen to our kids?"

26:36

I think that I just don't see any any

26:39

piece of research

26:41

any rational argument for why any of our

26:43

children should ever be on social media

26:44

under the age of 16.

26:46

I mean, just some Just imagine

26:49

being that age, just as you're thinking

26:51

about social capital, your sense of

26:53

self, you're physically awkward,

26:56

you're you know, you're you're growing

26:58

too fast, you have weird skin, you're

27:00

you're being evaluated, you're starting

27:02

to you know, recognize your own sexual

27:04

self and what's attractive and not

27:06

attractive. I mean, you're just so

27:07

[ __ ] insecure, right? Remember that?

27:09

>> No.

27:10

>> No?

27:11

Well, the rest of us. And then and then

27:14

the high school cafeteria is following

27:15

you around 24/7.

27:17

And I think social media is really

27:20

damaging to young men because they get

27:22

radicalized and they sequester from the

27:25

relationships. I think it's especially

27:27

hard

27:28

on teenage girls though because boys

27:30

bully physically and verbally, girls

27:32

bully relationally. And we put these

27:34

nuclear weapons in their hands called

27:36

smartphones.

27:37

And I think in high school, I just think

27:40

the level the expectations on

27:42

aesthetics, the the unreal memetic

27:46

benchmark that teen girls are supposed

27:48

to live up to, the bullying, the it just

27:51

it's like a giant eating disorder

27:53

waiting to happen.

27:54

>> Or it's a distraction in school where

27:56

you aren't paying attention to teachers,

27:57

you're watching some latest dance video.

28:00

>> Most Yeah, but most schools even before

28:01

if they don't ban phones, they only use

28:03

them in class.

28:04

>> Correct. But But I think you the use of

28:06

them creates a distraction and a lack of

28:08

and this including the chatbots that are

28:10

now very popular among young people.

28:12

>> But what a lot of people their initial

28:14

argument was ridiculous [ __ ] like,

28:16

"Well, 15-year-olds have first amendment

28:17

rights and they're

28:19

they're socializing and

28:21

there's no

28:23

And then they went to, "Well, it's bad

28:24

parenting."

28:26

And anyone who thinks keeping your kid

28:29

off your phone is about parenting

28:32

doesn't have kids.

28:33

Because it unless there's a collective

28:36

ban, the research my colleague Adam

28:37

Alter did at NYU was that what they

28:39

found is that unless you ban it all for

28:43

all teenagers

28:44

>> the kids whose parents take it away are

28:46

more depressed cuz they're ostracized

28:49

and isolated from everybody else. So,

28:51

unless it's a collective universal ban,

28:54

it doesn't work. But, this is just this

28:56

is literally a no-brainer. This is, in

28:59

my opinion, one of the most It's got

29:01

bipartisan support.

29:03

All the research in the world showing

29:05

there's just very little we give up when

29:07

we don't let our 15-year-old daughters

29:09

and sons on social media.

29:11

Um another colleague, Jonathan Haidt, I

29:13

think some real real good work. I think

29:15

this is going to sweep over Europe.

29:17

>> Absolutely. It's a question of when it's

29:18

going to sweep here in this country,

29:20

which we'll wait and see. I I do think

29:22

the social media companies are suddenly

29:24

starting

29:25

The only reason I realized that is

29:27

suddenly they're calling me, which they

29:29

don't speak to me ever. And now they're

29:31

like, "Hey girl." I'm getting a lot of

29:32

hey girls from all these companies.

29:34

>> You speak to all the time. Didn't you

29:35

just I thought you talked to someone

29:37

today that

29:38

>> I did, but I'm just saying I'm just

29:40

saying they're hey girling me recently.

29:42

I just But, it's not But, they haven't

29:44

in a long time, which is interesting.

29:46

Which is an interesting thing is like,

29:47

"We know we have a problem." I'm like,

29:49

you know, no [ __ ] Sherlock. Um in any

29:52

case, moving along, speaking of which,

29:53

this is makes me laugh. The Daily Show

29:55

is taking on micro dramas. Comedy

29:57

Central announced a show it will produce

29:59

the first of its genre, a serialized

30:01

soap opera shot vertically designed for

30:03

phones. Uh the title will be Two

30:05

Billionaires Fight to Dominate the

30:06

Country and My Heart. The series follows

30:09

follows Alanka, a daughter of an aging

30:12

and sleepy president, two moguls, Egon

30:14

Husk and Jiff Davos, will compete to

30:17

build an AI president to run the

30:19

country. Uh

30:22

I feel good about this. I feel great

30:24

about this. If they did a micro drama

30:26

about your life, what would it be

30:27

called?

30:29

>> Sia's.

30:30

>> Okay.

30:31

I love that they're doing this. I think

30:33

they've done I think that

30:34

>> Doesn't this feel like everyone should

30:35

come here like when they're divorced? I

30:36

think my third wife is here. So, my next

30:38

ex-wife is somewhere in this crowd.

30:40

>> [laughter]

30:42

>> I'm not going to say a word about that.

30:44

Um

30:45

I'm going to move on. I'm moving on very

30:46

quickly. Tesla earnings just came out

30:48

with the company reporting weaker than

30:49

expected numbers for Q4 even as revenue

30:52

rose to 28 billion for up 26% from last

30:55

year. The company is citing a hit from

30:57

lower vehicle prices despite increased

30:59

auto sales. Tesla also shares jumped in

31:02

operating expenses and CapEx as it pours

31:04

money into robo taxis and robots, but

31:07

it's part of Elon Musk's master plan.

31:08

He's calling it a massive CapEx year

31:11

that will yield quote maybe the best

31:12

CapEx returns that we've ever seen. But

31:16

thoughts on Tesla? He's going to fold it

31:18

into SpaceX, which is by the way at $115

31:21

a share. That's heading down.

31:23

>> I don't know actually I don't know if

31:24

he's going to be able to now if it keeps

31:26

going down, but

31:28

Tesla's doing exactly what it's supposed

31:30

to be doing. It's an automobile company

31:31

that's reaching scale and it's no longer

31:33

as differentiated cuz other entrants

31:35

have entered the market and as a result

31:37

you see margin compression cuz the only

31:38

way they can maintain their share is to

31:41

lower prices.

31:42

And to their credit they they their

31:44

vehicle sales were up dramatically.

31:46

>> Yeah.

31:47

>> But in order to

31:47

>> the cyber truck. They sold 7,000 3,000

31:50

which were total disasters.

31:52

>> dead on arrival. So but they are their

31:55

volumes were way up, but their margins

31:58

are being compressed and that's what

31:59

you're going to see every quarter. What

32:01

I think the analog to the previous story

32:03

we're talking about is the same thing's

32:05

going to happen in AI. There's going to

32:06

be more AI. The same thing China did the

32:09

same thing with

32:10

>> EVs.

32:10

>> Did the same thing with batteries. It

32:12

did the same thing with shipbuilding.

32:14

And that is what we forget about in

32:16

business is we're so in love with the

32:17

innovator. We think the key to

32:19

shareholder value is to build the best

32:20

model. It's not. It's to put the model

32:23

in as many people's hands as possible.

32:25

The fastest zero to a billion dollar

32:26

retailer was Old Navy. That did not have

32:28

the coolest fashion. It offered 80% of

32:30

Gap for 50% of the price, which is the

32:32

entire strategy of China. And what what

32:34

Tesla's doing right now is they're being

32:36

forced to lower the prices because BYD

32:39

can come in with 80% of a Tesla for 50%

32:42

of the price. But and circling back,

32:44

they're going to do the same thing with

32:45

AI.

32:46

The majority of us or a lot of us,

32:48

especially in startups or with CFOs who

32:51

are very, very disciplined, are going to

32:52

say

32:53

>> That's enough.

32:54

>> If you can get 80% of Anthropic with

32:57

Deep Seek or Kimmy or whatever it is

33:00

uh for 10% of the price, folks, the this

33:04

is the AI we're using. And that the same

33:07

thing is happening, the same pressure is

33:08

being put on Tesla.

33:09

>> happens to Tesla from your perspective?

33:11

Where does it go?

33:12

>> I think it's I think it's a great

33:14

company. I think it's a great car. It's

33:15

just it can't in no way

33:17

>> They need new cars.

33:19

>> Sure, that every automobile company has

33:21

that problem. But

33:23

the thing about Tesla, it's not that

33:25

it's not a great car company. It's not

33:26

that it's a great not got a great

33:28

product. But he's been trying to promise

33:31

something like robots or Did you realize

33:34

Do you know what the total number

33:36

of non-manned

33:38

or non I don't know what the politically

33:40

correct term is, non-personified,

33:42

someone in the seat

33:44

>> use man.

33:44

>> non-personed. There's 24 Teslas on the

33:48

road globally now that don't have a

33:50

person

33:51

>> taxi, right.

33:52

>> Right. I think I think Waymo's at 4 or

33:55

5,000.

33:56

>> Yes, they are.

33:56

>> But he will always say, "Here's the

33:58

robovan. Here's robots. I got a I got a

34:01

card up my sleeve to justify a valuation

34:04

of software valuation on a company that

34:07

wraps steel around an axle that is

34:08

typically a low-margin mature business.

34:11

So the Where does it go? It goes to the

34:13

same place. Great company, lot of cars.

34:16

They'll come up with new products and it

34:19

will trade, I think, at 70 to 80% less

34:22

than it's trading now on the stock

34:24

market.

34:24

>> and it doesn't get folded into SpaceX.

34:26

He keeps

34:27

>> stock keeps going down, it's going to be

34:29

very hard for him to say

34:32

"Now take on another problem." Or, "Now,

34:34

take on something that's not related." I

34:36

don't I don't know if he's going to be

34:38

able to do that if the stock continues

34:40

to crater.

34:42

>> Do you consider it's going to continue

34:43

to crater, SpaceX? It's 100 close to 114

34:47

today, I think. 15, maybe.

34:49

>> Yeah, so now it's only overvalued by

34:51

80%. I mean,

34:52

just look at the

34:53

>> Yeah.

34:54

>> the One of the One of the problems I

34:55

have as an investor is I always anchor

34:57

off of where it was.

34:59

So, I think a lot of people are going to

35:01

say, "Wow, it's cheap now." No, it's

35:03

not. It's This is a This is a company

35:04

worth

35:06

I think 1.4

35:07

Now, it's trading at a cheap cheap 70 to

35:09

80 times revenues?

35:11

I mean, it's just an it's just insane.

35:13

And it I don't know if you've been

35:14

watching this. It's literally going down

35:16

3 to 6% every day.

35:18

>> Every day.

35:18

>> Every day.

35:19

>> Every day. This is something that a very

35:20

good investor, George Noble, said it's a

35:22

$30 stock.

35:24

>> That's the the People are putting price

35:26

targets on it of between $30 and $60

35:28

except for the folks who underwrote it.

35:29

They took a lot of fees. They're

35:30

claiming They're claiming it's worth

35:32

between $200 and $300 a share.

35:34

>> Who do you believe?

35:35

>> I think it's a $30 stock.

35:37

>> Yeah.

35:38

>> Maybe.

35:38

>> Yeah.

35:39

>> I mean, it's basically Comcast in space,

35:41

which is a cool business. But, this You

35:44

want to talk about the most ridiculous

35:45

look over here as I stuff a rabbit into

35:47

a hat?

35:48

>> Yeah.

35:49

>> Data centers in space?

35:51

>> Yeah.

35:52

>> Have you ever been to a data center?

35:54

>> Yeah.

35:54

>> They're enormous concrete facilities. It

35:57

costs, I think, $75,000 per kilo to to

36:01

>> Yes. Most people who know about this

36:03

said it's impossible, actually.

36:04

>> It makes

36:05

>> But, now he's talking about putting um

36:07

quantum computers in on the moon. He did

36:10

that the other day.

36:11

>> To what end? Why do What would we do?

36:13

>> don't have earthquakes there. Uh You

36:15

can't have earthquakes. Quantum

36:16

computers don't work yet, but when they

36:18

do, we can't have earthquakes. And it's

36:21

colder.

36:22

I'm just telling you, that's his latest.

36:24

Actually, he has another latest. We'll

36:25

talk about it in a minute. All right,

36:26

Scott, one more quick break. We'll be

36:28

back for predictions and audience

36:30

questions.

36:31

>> Support for the show comes from NPR.

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38:48

Uh okay, Scott. We're going to hear a

38:49

prediction. My prediction is that his

38:52

version, Elon right now is very upset at

38:54

Chris Nolan and the Odyssey. I know you

38:56

know that. It made $250 million this

38:58

week. It turned out woke Odyssey was

39:01

very much liked by the people. Um Elon's

39:04

still mad about it. He's still angry.

39:05

So, he's decided he's going to do an AI

39:08

version of the Odyssey that's

39:10

historically accurate.

39:13

Despite the fact that the Odyssey is

39:15

fiction.

39:16

>> [laughter]

39:17

>> It's a myth.

39:18

>> It's exactly. That's correct. It's

39:20

fiction.

39:21

It's fiction. Okay, but he's real mad

39:24

about it. So, I predict this movie is

39:26

not going to be very good.

39:29

>> I get it.

39:30

So, he just

39:32

put on display on the network a movie

39:35

called I think The Vigilante, which is

39:36

Armie Hammer, the guy who played the

39:38

Winklevii.

39:40

And it's about a guy who seeks revenge

39:42

on behalf of victims that were killed by

39:44

immigrant families. And a lot of people

39:46

felt like it was very Islamophobic.

39:49

And my view is I love what you said. You

39:51

don't like Chick-fil-A, don't eat at

39:52

Chick-fil-A. You think that's true?

39:54

Don't watch it. You don't want a

39:56

non-white woman playing Helen? All I

39:58

care about personally is that she's hot.

39:59

That's all I That's the only criteria.

40:01

You don't want a You don't want a

40:02

transgender man playing a warrior? Fine.

40:05

Then don't see it. But is it any more

40:06

fake than Tom Cruise is a straight

40:08

leading man?

40:09

>> Yeah.

40:10

>> [laughter]

40:12

>> On that note, what is your prediction?

40:14

And then we'll get to a question.

40:17

>> Uh I got a couple of predictions. One,

40:19

well, I made the prediction. You're

40:21

seeing the market and AI buy for Kade

40:22

and the German automobile high high

40:25

price, high margin companies that won't

40:28

be as relevant as the Japanese or the

40:30

low-cost manufacturers, which will be

40:31

Chinese AI. I think China quite frankly,

40:34

I hate to say it, on a certain level has

40:36

won AI. We just haven't woken up to that

40:38

yet.

40:38

>> agree.

40:39

>> And then two, you're about to see the

40:41

clip economy take over our TVs. I think

40:43

the biggest show on television

40:46

uh from Netflix or someone else is going

40:49

to be a 60-minute compilation of two and

40:52

three-minute

40:53

videos similar to what you see on Reels

40:55

or TikTok. I think that's about to wash

40:58

over the traditional streamers. You're

41:00

going to see

41:01

>> a big show many back in the day. Do you

41:03

remember Kids Say the Darndest Things or

41:05

Bloopers or

41:07

>> Or America's Funniest Home Videos.

41:09

>> Home Videos. That's what I had in mind

41:10

instead of that. Yeah. Those were that

41:12

all linked together. So, okay. All

41:14

right. So, with that, we'll open the

41:16

floor up for two audience questions.

41:18

>> I'm just curious for both of you, who is

41:20

sort of an under the radar creator right

41:22

now, whether it's a Substack writer or a

41:24

YouTuber or podcaster that you love, you

41:26

forward to your friends that but no one

41:28

we don't know and that you people are

41:30

going to hear about it for a year from

41:31

now that we'll all kind of know about in

41:32

a year from now.

41:34

>> What do you What do you watch?

41:36

>> Mine are weird. I like the Geo Hueso who

41:39

talks about military weaponry and

41:40

strategy. Um

41:43

uh I like Gary Economics. He's a total

41:46

populist economist. And and I follow I

41:48

follow boring weird stuff. I don't, you

41:50

know, I'm I'm the guy who watches World

41:52

War II in color. My favorite actor is

41:54

Hitler. I watch anything about war. Um

41:56

so, my creators are probably not ever

41:59

going to be that big.

42:00

>> Right.

42:01

That's really depressing. Um I I watch a

42:05

lot of the food ones. There's a guy and

42:07

I don't know his name and then he's he's

42:09

he screams a a and he grows ginger. Um

42:13

but he's this food uh food guy who does

42:15

he's very my son put me on to him and I

42:18

actually listen to what my kids listen

42:20

to cuz my my second son was very into

42:24

the guy who ended up doing back rooms

42:26

and had had tagged him for me on YouTube

42:29

to watch and was very familiar. People

42:32

should not be surprised that was so

42:33

popular. All the kids knew about it on

42:35

YouTube. Um so I tend to listen to what

42:38

my kids listen to like I I tend to watch

42:40

what they look at. Um but I think

42:43

there's just I all over the place

42:46

there's so many amazing ones and I think

42:48

I I happen to look at food ones um

42:51

and that's and this young young guy does

42:53

this most astonishing about growing

42:55

things and again my son put me on to him

42:57

cuz he he does a lot of gardens and

42:59

stuff like that. Um I'm trying to think

43:01

of anybody else.

43:02

>> I've got one more and I guess he's

43:04

technically a creator but I think we

43:05

have I think the George Carlin

43:08

George no one knew George Carlin was a

43:09

George Carlin of his generation till

43:11

after he died.

43:12

It's like right now I think we're you

43:13

never know you're in a golden age until

43:15

20 years later. I think we're in a

43:16

golden age in New York. I think New

43:17

York's incredible right now and we won't

43:19

recognize it until 20 or 30 years when

43:21

it's shitty again and everyone will go

43:22

remember in 2026.

43:24

I think the George Carlin of our age

43:26

right now is this British comedian named

43:27

Jimmy Carr

43:29

and I find him just so insightful and

43:32

funny and brutally honest. Um he's one

43:35

of my favorite creators that comes up in

43:36

my

43:37

>> Yeah and any of the comedy ones I watch

43:39

a lot.

43:40

>> Yeah I also like Rita Ora she's

43:41

basically a porn star.

43:42

>> Yeah I I listen to all who?

43:45

Who?

43:46

Who?

43:46

>> Rita Ora is that her name? And then she

43:48

just has my feet a lot I don't know why

43:49

I don't

43:49

>> Yeah. Yeah. So sorry we're not so sorry

43:52

we're not so good on the

43:53

>> He knows her.

43:54

>> All right one more.

43:55

>> That guy's like I said that I was like

43:56

uh-huh.

43:57

>> One more right right here right here

43:59

right here one more.

44:02

I'm sorry to cut it off I got to go back

44:03

to DC unfortunately and see what's going

44:05

on with the reflecting pool.

44:08

It's still broken.

44:09

>> Hey uh Scotty, uh Cara Swisher and Jason

44:12

Adelman from Brand Innovators. How are

44:13

you?

44:14

>> Hi.

44:14

>> Hi.

44:14

>> Uh so, my question is

44:17

not a funny question cuz I'm usually

44:18

funny guy, but which is who's the next

44:22

tech mogul no one's talking about but

44:25

you guys seem to always know who's who.

44:27

>> Huh, that's a good question. There's a

44:29

couple of really interesting um

44:31

oh god, this I'm I'm supposed to meet a

44:33

couple. Like I've been asking people for

44:36

some really innovative people doing uh

44:38

AI, um

44:39

but I'm I'm suddenly interested. I just

44:42

happen to be as I said with uh Jay J.B.

44:44

Pritzker about their new quantum

44:46

computing.

44:47

Uh they're putting a quantum computing

44:49

campus in Chicago on the site of U.S.

44:51

Steel where U.S. Steel had its factory,

44:53

which is kind of ironic and wonderful.

44:56

I'm super interested in quantum

44:58

computing right now for some reason. Um

45:01

you know, quantum computing people don't

45:02

think they think AI AI AI is everything.

45:05

Quantum computing is AI's

45:08

um

45:09

well-behaved and more important brother.

45:11

I don't you know, they're they're

45:12

siblings in some ways and there's

45:14

quantum AI and things like that, but I

45:16

think the ability to create these

45:18

quantum computers is really where the

45:20

real innovation is going to happen. And

45:22

so, I'm spending a lot of time trying to

45:24

figure out who's the big who are the big

45:26

names in that um

45:28

and uh

45:30

that's where I'm focused completely

45:32

almost like trying to figure it out

45:34

right now of who that is. And the other

45:36

thing I'm looking at a lot is

45:38

uh I've been doing a lot on crypto uh

45:40

crypto security

45:42

um and that is a big worry of mine. I

45:44

just had an interview with Nicole

45:45

Perlroth from the New York Times. She

45:47

was a former New York Times reporter,

45:49

but she now is a consulting firm at the

45:51

sort of the dangers we face with these

45:53

uh AI models and uh the offense defense

45:57

happening right now with all all kind

46:00

whether it's finance or pharmaceuticals

46:02

or your personal information.

46:04

Uh I think a lot of really

46:05

[clears throat] smart people I know are

46:06

very worried about it. So, I'm looking

46:08

for those companies that are sort of the

46:09

white hats in that area. Cuz there's a

46:12

whole lot of black hats in cybersecurity

46:14

right now in cyber attacks.

46:17

So.

46:18

>> I forgot in California when the sun goes

46:19

down it gets pretty cold here.

46:21

Um I'm shivering. Uh

46:24

So, it was so tech means technology.

46:27

Mogul I think means rich. So, I'm not

46:30

talking about who should be

46:32

who's going to be good for the world or

46:33

not good for the world. But when I think

46:35

of

46:36

someone who's going to

46:37

make

46:39

create potentially trillions of dollars

46:40

in shareholder value.

46:42

Uh I think probably is it Palmer Luckey

46:44

Anduril?

46:45

>> Yeah.

46:45

>> I think unfortunately

46:47

uh defense and defense tech where you

46:49

take some of the Silicon Valley ethos

46:52

and apply it to defense

46:55

and asymmetric uh weaponry as opposed to

46:58

these big platforms. I think that's just

47:00

going to create enormous amount of

47:02

shareholder value and wealth. And I

47:04

think Anduril's going to be probably the

47:06

IPO of 27. And then the other one, I

47:09

think the most

47:11

impressive or relevant technology right

47:13

now is not AI. I think it's GLP-1. And I

47:16

think the guy who actually could be a

47:18

long shot dark horse presidential

47:20

candidate is the CEO of um Eli Lilly in

47:23

Indiana, which is the most important

47:25

company in Indiana, which is you know,

47:27

not that impressive. But

47:28

>> of Eli Lilly? Long shot? Why?

47:32

>> Uh handsome, tall, Midwest, smart, rich.

47:36

>> Skinny.

47:37

>> Um yeah, he's he's just I think he

47:40

actually I think he or Doug McMillon are

47:42

actual viable candidates. I think

47:44

someone from business and you said this

47:46

and it's got me thinking that the

47:47

Democratic Party right now has got such

47:49

a terrible reputation that it might be

47:51

someone who comes in from outside. But

47:53

anyways, I think that um the CEO of Eli

47:56

Lilly whose name I'm blanking on the CEO

47:58

of Anduril, are next tech moguls.

48:00

>> Yeah, and the reason I mentioned quantum

48:01

computing because that's where the focus

48:02

is would be on healthcare. That's where

48:04

a lot of the the innovations are going

48:06

to happen with these computers, and

48:10

a lot of a lot of pharmaceutical

48:12

companies and others are part of this

48:13

effort, which is really impressive in

48:15

Chicago, actually.

48:17

To because we really are going to lose

48:19

an AI right now to China. I think Scott

48:22

is 100% right. I mean, I had some very

48:24

significant people say that to me in the

48:26

last 3 days.

48:28

Quantum computing is an area we should

48:30

be heavily investing in, and one of the

48:32

great tragedies of this era right now,

48:34

of all the many things that are

48:35

happening, is the cuts to research money

48:38

to universities,

48:40

where most much of this stuff happens.

48:42

These They're right now major

48:44

researchers in mRNA and in all manner of

48:48

really exciting stuff where the US is

48:50

ahead are moving to to France to

48:54

to Canada, and recently a Nobel Prize

48:56

winner is moving to China.

48:58

Like, it's really grotesque, and every

49:01

university president I meet has talked

49:03

about this in terms of and then they can

49:05

be slow, there can be bureaucracy, but

49:07

our university system is one of the

49:09

speaking of Scott being on the UC board

49:12

is one of the greatest assets of this

49:14

country, and and this systematic

49:17

obsession with DEI and and hurting

49:20

places like Harvard and everyone else

49:22

and litigating is such is going to be is

49:25

going to take decades to recover from.

49:27

And I've interviewed many scientists

49:29

that say this exact same thing. So, I

49:31

would

49:32

the efforts like what's happening in

49:33

Chicago and other things where

49:35

public-private partnerships where the

49:36

states have to make up the difference

49:39

are critical, but it's not going to

49:40

matter until the federal government gets

49:42

its, you know, stops with this endless

49:44

corruption and starts really focusing in

49:47

on the real race we're in, which is to

49:50

dominate um have a democratic AI and

49:54

which we're not in. We're We're not and

49:56

and that's a real worry for me.

49:58

Your thoughts?

49:59

>> Word, sister.

50:00

>> Word, sister. All right. In any case

50:02

>> way, UC system, 54 billion, 60% of the

50:04

revenue comes from hospitals.

50:06

>> Yeah. So, um and

50:08

>> Any anteaters in the house? UC Irvine?

50:10

Isn't that what we're close to?

50:11

>> Are they called anteaters?

50:13

>> The anteaters, yeah.

50:14

>> What? What do you mean, yeah?

50:16

>> [laughter]

50:17

>> It's kind of cool.

50:17

>> an anteater to be your

50:19

>> the banana slugs?

50:20

>> Oh my god.

50:23

Santa Cruz

50:23

>> Santa Cruz slugs. God. And suddenly he's

50:26

kicked off the board.

50:27

>> Okay. [laughter]

50:29

In any case

50:30

>> Any Any Trojans in the house? It's

50:32

Orange County. Woohoo!

50:33

>> What's a Trojan?

50:33

>> going to go to USC but my SATs were too

50:35

high.

50:36

>> [laughter]

50:37

>> Uh da da da.

50:38

>> In any case, um okay, Scott, that's the

50:40

show. We'll be back on Tuesday with more

50:43

Pivot.

Interactive Summary

In this live episode of Pivot, hosts Kara Swisher and Scott Galloway broadcast from the CAO Summit in Los Angeles. They discuss a variety of topics, including Scott's recent appointment as a University of California regent and his past academic struggles, the current landscape of AI development, the potential impact of tariffs on international relations, and the emergence of prediction markets in politics. The hosts also debate the future of tech giants, the threat posed by Chinese AI advancement, and the necessity of regulating social media usage for children, before wrapping up with audience questions regarding up-and-coming tech moguls.

Suggested questions

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