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Trump: Send National Guard to SF, China Rare Earths Trade War, AI's PR Crisis

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Trump: Send National Guard to SF, China Rare Earths Trade War, AI's PR Crisis

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2188 segments

0:00

All right. You guys were uh talking

0:01

about the fun shenanigans you were

0:04

having in San Francisco and at Mark Beni

0:07

off's Dreamforce. Did you see Brian

0:10

Johnson was at Beni off's CEO dinner?

0:13

>> Oh, I didn't see him.

0:14

>> Yeah.

0:14

>> Matthew McConey was at our table at

0:16

dinner.

0:16

>> All right. All right. All right.

0:18

>> All right. All right.

0:20

>> McConey is fabulous. He is funny.

0:22

>> Did you see where I was sitting at that

0:24

dinner?

0:25

>> Yeah. Table one.

0:26

>> Right next to the king himself. The king

0:29

himself. Exactly.

0:30

>> The king who? The king and I. Benny off

0:31

is a king.

0:32

>> Well, he's the king of San Francisco

0:34

>> at his party.

0:35

>> He's the king of San Francisco.

0:37

>> Yeah. I mean, obviously he has to bend

0:38

the knee to the king of kings, which is

0:40

Trump, but

0:43

>> I was sitting next to Bennett off there.

0:45

>> It got weird.

0:46

>> It got a little weird. No. Well, what

0:48

happened was did you see that SF

0:50

standards? Yeah. I don't even know how

0:52

they can write a headline like this. So,

0:54

>> well, it's a San Francisco standard.

0:55

>> Yeah. So Beni off interviewed me at

0:58

Dreamforce and somehow this was like

1:01

headlinew worthy for SF Standard and

1:04

they said that Mark Beni off dodges

1:06

political questions then fawns over

1:08

David Sax on Dreamforce day one. That

1:09

was just referring to the interview we

1:11

did. So we trolled them by taking that

1:14

photo.

1:14

>> That's um Yeah, it's a little weird.

1:17

I thought the fireside chat you guys did

1:19

was great.

1:20

>> It was great. Yeah, it was just an

1:21

interview.

1:22

>> It was really good actually. He's a very

1:23

good interviewer.

1:24

>> Mhm. Yeah, totally. But apparently to SF

1:26

Standard, it's like some sort of

1:28

transgression

1:29

that I was even interviewed.

1:32

>> They didn't get the memo that cancel

1:33

culture is over.

1:34

>> Yeah.

1:34

>> They can't.

1:35

>> I know. That's what it feels like,

1:36

right? Where they're like trying to

1:37

They're trying to jin up some sort of

1:40

>> brewhaha over the fact that I was

1:41

speaking.

1:42

>> Yeah. Oh, you can't talk to David Saxs.

1:44

He's in the Trump administration. Not

1:45

allowed to talk to him.

1:47

>> About 100 people a week who say that.

1:49

>> Literally the AI guy and the AI CEO

1:52

shouldn't talk to him. It's like,

1:54

>> you know, like what the AI company, I

1:56

should not talk to the government's AI

1:58

person,

1:58

>> right? By the way, did you see that

2:00

there was one other uh very important

2:02

conference in town at the same time as

2:03

Dreamforce?

2:05

>> Okay.

2:05

>> I discovered this on my ex feed.

2:07

>> Feel like a cold open about time. What?

2:09

The Young Socialists or was it the

2:10

Republicans?

2:11

>> It was called SlutCon.

2:12

>> Oh, Sluck Con? Really?

2:16

>> Oh my lord. Look at this website.

2:18

>> Oh, this is the agenda. How to be good

2:20

at sex with Aaliyah. Uh, let's see.

2:23

>> You cannot do this. Cut this out.

2:25

>> Women venting. Oh, Sachs, that one's for

2:27

you.

2:28

>> I would have planned an or

2:30

Freeberg here. Freeberg's giving a talk.

2:32

A fluffer's guide to jobs by David

2:35

Freeberg. Is that a panel or is it a

2:37

fireside freeberg? Which one?

2:39

>> Reinforcement learning. Ho feedback

2:42

small groups.

2:44

>> Oh, you could reandwrite your positions.

2:46

I see that. reunderwriting your sexual

2:48

positions by

2:49

>> Jamal's uh the last one. The VIP room.

2:52

>> Oh, VIP room. Yeah, that's Jamal. That's

2:54

for sure. Jamal

2:56

>> Sax, how did you hear about this? Don't

2:57

tell us that you ran out of bed. You

2:59

went over to the East Bay.

3:00

>> Sax, were you are you on the mailing

3:02

list?

3:02

>> No, my invite you to speak.

3:03

>> My ex feed just, you know, it's the new

3:05

AI algorithm is just trying to find

3:07

things you might be interested in.

3:09

>> Sax also keynoting this. My ex seed

3:11

showed me slutcon. So I clicked on it

3:14

and now it's been nothing but slutcon

3:15

for a couple of days.

3:17

[Music]

3:19

>> Let your winners ride.

3:22

[Music]

3:27

>> We open sourced it to the fans and

3:28

they've just gone crazy with it.

3:32

[Music]

3:35

>> Jimoth, what did you think about walking

3:36

around San Francisco? So, we went on a

3:38

walk around downtown San Francisco.

3:41

>> Well, we were trying to find a place to

3:42

get a drink in between the Beni off

3:44

dinner and Sax's talk. We ended up at

3:47

the W Hotel, but uh I was worried for

3:50

Chimath because it was his first time on

3:52

the streets of San Francisco walking

3:54

around with his own two legs. How was

3:56

it, Chimat?

3:56

>> Did you throw out those shoes? The lower

3:58

piano shoes.

4:00

>> I burned them.

4:00

>> The souls I'm sure were sullied beyond

4:02

repair.

4:02

>> I burned them. Those are one use for

4:04

Chimat. Those are single use lower

4:06

pianos. Once I got in the car, I I gave

4:08

Eugene my shoes and I said, "Burn these,

4:10

Eugene. I never want to see these ever

4:12

again. They've touched the pavement of

4:14

San Francisco." And all I said was,

4:16

"Yuck."

4:17

>> Why don't you just have your domestic

4:18

staff carry you on their shoulders? I

4:20

don't understand.

4:21

>> Why the crowd? It makes no sense.

4:24

>> So Ben off pulls off this awesome

4:26

convention, this conference, and then

4:28

Trump does this press conference

4:30

yesterday saying he's going to send

4:32

troops into San Francisco. Did you guys

4:34

see this?

4:34

>> Yeah.

4:35

>> Well, yeah. But no, but the Benoff thing

4:36

happened first, right? So Ben off made

4:38

news because he said, "Send in the

4:40

National Guard to clean up San

4:41

Francisco." But I actually I talked to

4:43

him about it and got a little bit of

4:44

context,

4:45

>> which of course

4:46

>> misqued or

4:47

>> Well, no, he wasn't misqued, but it

4:49

happened in a more innocuous way. He

4:50

wasn't trying to weigh in on a political

4:53

issue. Basically, what happened is I

4:54

think he was describing the security at

4:56

Dreamforce and how they bring in a

4:57

couple hundred extra offduty cops to

4:59

provide security. So then the reporter

5:01

tried to stir the pot by saying, "Well,

5:03

would you bring in the National Guard?"

5:04

And Ben off said, "Sure, if they can be

5:06

cops." And that was kind of the end of

5:08

it. And then and then it turns into this

5:11

massive story that Ben off is supporting

5:14

the National Guard coming to San

5:15

Francisco, which I think he should

5:16

support it, but

5:17

>> it's not exactly what he said. He was

5:18

saying for Dreamforce he would hire

5:20

them.

5:20

>> Yeah. I mean, who knows exactly what he

5:22

was trying to say, but the point is that

5:24

>> he could have just been talking. Yeah.

5:25

>> He wasn't seeking to make the news that

5:27

ultimately he made,

5:30

>> but it's not a bad idea. It's actually a

5:32

good idea. Do you think Trump teed off

5:34

on that press cycle when he was doing

5:36

that press conference and it was kind of

5:37

off-the cuff sacks when he said, "Oh,

5:39

they should send the National Guard in

5:40

to San Francisco next."

5:43

>> Well, I don't know.

5:44

>> Yeah,

5:44

>> I wasn't there for that. But San

5:46

Francisco is a pretty obvious city to

5:48

send in the National Guard because we

5:50

have this downtown area where, you know,

5:54

it's like that zombie city area, the

5:56

Walking Dead part on on Market Street.

5:59

And everybody understands that it's

6:00

because they won't stop the drug

6:02

dealing. So you've got open air drug

6:04

markets there on the main business

6:08

thoroughfare of town, which is Market

6:09

Street. And by the way, let me just back

6:11

up and say that we have the best mayor

6:12

we've had in decades now.

6:14

>> Dan Lori.

6:14

>> Dan Lur's great. And I think Brooke

6:17

Jenkins was the DA that we supported to

6:19

replace Chase Beauty and after we were

6:20

called him. So I think she's good, too.

6:22

But they're still working within the

6:23

confines of a legal system here which is

6:28

very left-wing. You've got all these

6:30

leftist judges and I think they're

6:33

somewhat constrained or hamstrung in

6:35

terms of what they can do. Again, the

6:36

evidence of that is that you've got

6:39

hundreds of these drug dealers who are

6:42

just operating with impunity in downtown

6:44

and you've got this sort of zombie city

6:46

of people who are so sick with drug

6:49

addiction that they're pretty much

6:50

living on the street. So, I think it

6:52

would be a relatively easy thing to

6:53

clean up if if they send in the National

6:56

Guard.

6:56

>> I would argue that they're like, cuz

6:59

I've been working in San Francisco and I

7:02

think it's gotten a lot better this

7:04

year.

7:05

>> So, I looked up after all this benny off

7:07

bruhaha and the National Guard thing

7:10

that Trump said yesterday. And so, the

7:12

city's publication shows crime down 30%

7:16

citywide and down 40% downtown.

7:19

Homicides on a 70-year low this year.

7:23

There are record lows of the number of

7:25

tents left on the street. They've

7:26

cleaned up all the tents. And I've seen

7:28

this cuz I drive to my place in the city

7:30

and they're all gone. And for the first

7:32

time in seven years, they've actually

7:33

got a net gain in total police officers

7:35

on the force. And now they've got

7:37

convention bookings up 50%. With hotel

7:40

bookings up 60% because of it. And so

7:43

here's what DA Jenkins put out. She said

7:45

felony convictions in cases this year,

7:47

narcotics, 88% of cases have resulted in

7:50

convictions. Robbery, 85% have resulted

7:52

in convictions. Burglary, 72% in

7:55

convictions. And gun possession, 70% of

7:57

cases result. And all the car break-ins

8:00

are down to a 25-y year low. And so I've

8:02

noticed it acutely in my experience in

8:05

the city. So it felt a little shocking

8:07

to be like, oh, we need the National

8:08

Guard. This is like a city on the

8:09

upswing in my opinion. And I think

8:11

things are getting much better

8:12

anecdotally. and the statistics

8:13

represent it too. So, you know, it feels

8:17

it feels like there's a little bit of a

8:18

runaway narrative with San Francisco

8:20

relative to what I think we those of us

8:22

who are in the city are experiencing.

8:24

>> Let me thread these two stories together

8:25

and hand it to you, Sax. So, the the

8:27

interesting thing when Sax and I were um

8:30

ousting Chess Bodin, one of the things

8:32

we learned was Chess Bodin had this

8:34

famous quote where he was saying, "Oh,

8:36

well, we can't get rid of the fentinol

8:38

dealers. I'm for drug regulation but not

8:41

for fentinyl because it's a super drug

8:42

that kills people very quickly. And it

8:44

turned out he said all these Honduran

8:46

nationals were victims.

8:48

>> Yeah.

8:49

>> Which I guess theoretically could be

8:50

true, but it's kind of like in that what

8:53

do they call it? U suicidal empathy

8:55

category.

8:56

>> But it turns out this is something where

8:58

ICE and the DEA have done some work.

9:01

They actually started deporting these

9:02

people last year and because the people

9:05

in San Francisco pre Dan Lori refused to

9:09

do it. So the the the federal government

9:12

actually has been taking action on this

9:14

specific issue. And we've also been

9:15

taking out the boats bringing the drugs

9:17

here. Pretty

9:19

>> you're not seeing a city government try

9:20

to block federal action either, which is

9:22

different than what you see in other

9:23

cities. By the way, this is a good

9:25

forewarning of what Mani's New York is

9:27

going to look like when Mondani's New

9:29

York kind of, you know, takes off.

9:32

Imagine what's going to come into the

9:33

city because there's now going to be

9:34

permissive culture and, you know, kind

9:37

of permissive society to do this sort of

9:38

stuff.

9:39

>> Yeah. So, I mean, this is this is where

9:41

we'll get strong alignment and agreement

9:43

like deporting Honduran fentinel

9:45

dealers. Like, what's taking so long? I

9:47

would ask the administration to take a

9:49

beat on the San Francisco thing because

9:51

this city is like making major

9:53

improvements and I feel very good about

9:55

the direction. It's not like other

9:56

cities that are on the down swing and

9:58

also I think AI companies are setting up

10:00

in San Francisco.

10:02

>> Money's coming back. Yeah.

10:04

I say the power move by Dan Lori would

10:07

be to say to the Trump administration,

10:09

hey, can we get I don't know three

10:11

months of National Guard just to be in

10:13

every BART station and then on these

10:14

four corners in the tenderloin just as a

10:16

deterrent.

10:17

>> You know what people would do if they

10:18

did that? People would protest and riot

10:21

because they're like we don't want

10:22

federal policing of our city. Like it's

10:25

going to be

10:25

>> for sure. I think you would get like 10

10:27

20% even in San Francisco rioting. I

10:29

think the rest of the people would be

10:30

like okay it's a short duration. It's on

10:32

these corners for this purpose. Okay,

10:34

bring it. That's why I think the the

10:36

Democrats are making a stupid decision.

10:39

>> But if the city's doing their job and

10:40

the city's improving, why do you need

10:42

that? It's getting better. You know,

10:43

like this is not the

10:44

>> Yeah, that's if things are worse and

10:46

you're in a spiral. It

10:47

>> is a back stop.

10:48

>> Sure.

10:48

>> Yeah. I mean that maybe the reason it's

10:50

getting better is because that backs

10:52

stop is there.

10:54

>> What? The National Guard back stop?

10:56

They're they're hiring more police. They

10:57

haven't done that in seven years in San

10:58

Francisco. They're finally adding to the

11:00

police cop under

11:01

>> and they're enforcing and they're

11:03

getting convictions. It's kind of

11:04

working.

11:05

>> Well, I'll partially agree with both of

11:06

you.

11:07

>> So, I agree with Freeberg that we have

11:10

the best mayor we've had in decades with

11:12

Daniel Lurri and I think he is making

11:14

progress and the city is bouncing back.

11:17

I think we probably had the lowest low

11:18

during co and so a lot of that is just

11:21

the finally the bounce back and then we

11:23

got the AI boom which is creating a lot

11:24

of wealth and it's bringing a lot of

11:26

people back to the city and it's

11:28

starting to absorb all the vacancy we

11:30

have. So in any event all those are good

11:32

things. Nonetheless, we still have this

11:35

problem of this blighted area of Main

11:37

Street where of all people Gavin Newsome

11:40

proved that we could clean it up.

11:42

Remember when President Xi came to town

11:44

from China for that summit

11:46

>> and all of a sudden magically that whole

11:48

area was cleaned up in 48 hours

11:51

>> and you know all the drug addicts and

11:53

all the drug dealers basically

11:54

disappeared. I don't know where they

11:55

sent them to. So it shows that there is

11:57

a way to clean this up virtually

11:59

overnight and I think that somehow the

12:03

mayor and the DA are constrained in what

12:06

they can do. So you could have a

12:08

targeted operation here by the federal

12:11

authorities to go in and clean that up.

12:13

And I think that'd be a good thing.

12:15

>> What do you think would happen in the

12:16

city if they did that with respect to

12:17

the population? Are they going to

12:19

welcome or not welcome federal policing

12:22

of their streets?

12:23

>> Well, again, I don't think we should be

12:24

held hostage by lawb breakakers who

12:28

basically threaten violent protests and

12:30

chaos in response to law enforcement

12:33

authorities doing their job. I don't

12:34

think we should be blackmailed by that

12:36

or threatened by that or held hostage by

12:38

that.

12:39

>> But they're getting convictions. They're

12:41

making arrests.

12:42

>> I think that's awesome. I'm I'm

12:43

applauding their efforts and I'm not

12:44

criticizing them. What I'm saying is we

12:46

still have this intractable problem of

12:48

this area of downtown where like Jal

12:50

said, there's a network of drug dealers.

12:52

Just to build on your point, Jacob,

12:53

about the Hondurans, there's actually an

12:55

article in the San Francisco Chronicle

12:57

talking about this where the majority of

13:00

the drug trade in San Francisco comes

13:02

from a single town in South America.

13:05

>> And so, yeah, it's like why couldn't you

13:08

just round up this whole network in a

13:10

very targeted operation and deport them

13:12

and that would clean up a huge part of

13:15

San Francisco. I think there's an

13:16

opportunity here. If you look at the

13:17

cities where it's been very successful,

13:19

so Muriel Bowser, who's the mayor of DC,

13:21

obviously she wasn't thrilled about the

13:24

president sending in the National Guard

13:26

and she said so publicly. That being

13:28

said, she also cooperated with it and it

13:30

redounded to the benefit of all the

13:32

citizens of Washington DC. So I think

13:35

there's an opportunity here for the

13:37

mayor to cooperate with the Trump

13:38

administration and do a targeted

13:40

exercise and clean up the streets of San

13:41

Francisco. I think

13:42

>> or he can do it himself up himself for

13:45

Did you guys see this interview with

13:47

this woman in DC who was describing what

13:49

it's been like in DC over the last 40

13:51

years and see the changes.

13:52

>> Yeah, she feels safe.

13:54

>> Elon retweeted it. Nick, I sent you the

13:56

link on Signal. Just listen to what she

13:58

says. It's really to your point, Sax,

14:00

it's like it's just such a nobrainer

14:02

thing to do. The question now is I think

14:05

is a political calculation. Who wants to

14:07

take credit for it? Because everybody

14:09

should be doing this.

14:10

>> Oh, let's listen to this. I'm always got

14:11

to be the person to say it and I don't

14:12

want to be the person to say it.

14:15

But Donald Trump has been president for

14:18

nine months. Nine months. And I'm seeing

14:21

videos from Chicago,

14:23

DC, where people like, "Yo, I feel safe.

14:26

My kids feel safe. This is the best

14:28

thing he ever did for us." So, what was

14:31

happening all these years that this like

14:33

literally I'm I've known DC and Virginia

14:36

to have this type of going my whole

14:38

life, and I'm I'm in my 40s. Okay.

14:41

Almost touching it. So what was really

14:44

truly going on if a mother became

14:47

president 9 months ago

14:50

and cleared that out with just a flick

14:53

of a pen. I'm just thinking like did

14:55

y'all really ever care?

14:57

>> Exactly. So I think that the point she's

14:59

making there is we don't have to live

15:01

this way. This is a choice. Okay.

15:04

>> Yeah. And we don't have to live in San

15:07

Francisco with our main drag, our main

15:09

street, Market Street, basically being

15:11

an open air drug market where you've got

15:13

hundreds of people who are addicted

15:15

doing drugs in the street, you know,

15:17

doing other things in the street. And

15:19

again, Gavin Newsome proved that it

15:21

could all be cleaned up very, very

15:22

quickly. So, look, I think it's great

15:24

that Daniel Lur and Brook Jenkins and

15:26

the new administration are doing a

15:28

better job, but they're still

15:30

constrained and hamstrung by their own

15:33

>> by the city's hold on by the city's

15:35

>> liberal mindset, extreme liberal mindset

15:38

towards what's possible. And I think

15:40

like that person just said in the video,

15:42

Trump just did it with a stroke of a

15:43

pen. This is a choice. We don't have to

15:45

live this way.

15:46

>> It's the biggest unforced era since

15:48

opening the southern border. These are

15:50

just the two stupidest decisions the

15:52

Democrats ever made. And obviously the

15:55

easiest thing to do to split the the two

15:58

approaches here, Freedberg, is

16:00

>> to have Dan Lorie say,

16:02

>> "Thank you for offering Trump.

16:05

>> We would like to have it for this period

16:06

of time in this location." Then you

16:08

could communicate to the people of San

16:09

Francisco, it's just a test. It's just

16:10

on these streets. When it comes top down

16:12

and you don't have a choice and JB

16:14

Pritsker does what he did, which is I'm

16:15

going to ban you from coming in and

16:17

reducing crime. Like, do you hear

16:19

yourself, Pritker? Like, I want to stop

16:21

you from lowering crime.

16:22

>> There's something else we got to do as

16:24

well, which is we got to stop funding

16:26

the drug addiction because the city

16:28

provides something like $2 billion a

16:30

year to these NOS's who are supposedly

16:32

there to quote take care of this

16:34

homeless/addicted

16:36

population and they manage them like

16:38

their flock because for every addicted

16:41

person they add to the flock, they get

16:42

paid more money. And so, obviously, this

16:44

is why we have this problem here. And in

16:47

fact, the homeless we have in San

16:48

Francisco are not predominantly from San

16:50

Francisco. They're from all over the

16:52

country, all over the surrounding area.

16:54

They come here for the benefits. So, we

16:55

create the magnet for all these people.

16:57

So,

16:58

>> part of it is law enforcement, then also

17:00

part of it is just cut off the flow of

17:01

money that's funding their drug

17:03

addictions.

17:04

>> You are 100% correct on that. I

17:06

completely agree with you on that point.

17:08

And I think that forced treatment center

17:12

transitions is needed. Obviously, you

17:15

know, we have a program, I've mentioned

17:16

this on the show before, but for those

17:17

who haven't heard about it, to hear

17:18

about the absurdity of these programs in

17:20

San Francisco. There's a program called

17:23

the managed alcohol program. $5 million

17:28

per year out of the San Francisco city

17:30

budget is spent on this program where uh

17:33

you can walk into a hotel, they have

17:36

free beer. You ask for a beer, they give

17:38

you a beer.

17:39

>> What?

17:40

>> You drink the beer, you go out, you

17:42

party, you come back, you get another

17:43

beer. So they have all these studies

17:45

that rationalize this program which is

17:47

oh this is a way to help alcoholics

17:49

recover from alcoholism when they're

17:51

homeless and they need this treatment

17:55

but here you can see this is from last

17:56

year being beer.

17:58

>> Yeah. So the treatment is beer and

17:59

>> that works for alcoholism I've heard.

18:01

But it's one of these absurd things

18:03

where now it's kind of a joke because

18:04

there's also this close part of downtown

18:06

where you know it's a little bit of a

18:08

kind of do what you want where they kind

18:10

of keep folks it's like hey you can use

18:12

your needles here then folks will get a

18:14

drink they'll play music they'll go

18:16

after the thing. It's really sad how

18:18

these programs obviously

18:19

well-intentioned initially become of the

18:22

most absurd.

18:23

>> If you want more of something keep

18:25

spending money on it. Uh, in fact, there

18:28

is a program for people who are addicted

18:29

to gambling and they they give Chimoth

18:32

free flags and cranberries at the win to

18:35

help him with his crafts advent.

18:38

>> Yeah, it's amazing. If you uh if I keep

18:40

going, one's going to land.

18:42

>> You send a private jet and extend a

18:44

massive credit line. It's amazing how

18:45

how many gambling addicts you you'll

18:47

attract to your casino.

18:48

>> By the way, did you guys see that JB

18:50

Pritsker disclosed his income from 2024?

18:54

And

18:54

>> oh, let's guess over under. Give us an

18:56

overunder.

18:56

>> Out of the 10.3 million, 1.4 million of

19:00

it was gambling winnings from Vegas.

19:03

>> What? Yum yum. Okay. All new respect.

19:07

>> 1.4 million playing black. So, he's

19:09

counting cards. Yeah, definitely.

19:11

Definitely counting cards with sachs.

19:13

Yeah.

19:14

>> Well, no. I I'll just tell you like look

19:16

to win $1.4 million in black basically

19:19

you basically need to be betting 100k a

19:21

hand.

19:22

>> Even I don't do that. That's the only

19:23

way you can win that much, which is a

19:25

lot of money per hand. Not judging. I'm

19:28

just saying.

19:31

>> I mean, that's Dana White level. He's

19:33

He's Dana White level that David Sachs

19:35

at Caesars.

19:36

>> No, I'm not I'm not at that level.

19:38

>> Come on. David plays at the $100 a hand

19:40

table. He's got great. Uh, by the way,

19:42

just to put some numbers behind it.

19:44

>> Speaking of Vegas, aren't we going next

19:45

next month?

19:46

>> Yes. Yes. Yum. Yum.

19:47

>> Yum. Yum. Just to put some numbers on

19:49

it, homeless budget, San Francisco,

19:51

unbelievably

19:53

high estimate like 800 million, lower

19:55

estimate 700 million. And uh low

19:58

estimate for homeless people is like

20:00

8,000. High estimates like 20. If you

20:02

cut in between these two, they're

20:03

spending $52,000 a year per homeless

20:06

person. $52,000

20:09

a year. It is a solve problem. Well,

20:12

that is an incentive to solve the

20:13

problem because again, a lot of the

20:15

money goes to NOS's and they get paid

20:17

for every addict they can add to their

20:19

flock. Thomas had a great line about

20:21

this. He said that you get as much

20:22

homelessness as you're willing to pay

20:23

for.

20:25

>> Well, and your point before is other

20:26

places don't give the services. So

20:29

therefore, the homeless uh slashjunkies

20:32

converse about this and then they pick

20:35

the right.

20:35

>> We don't have to live this way. I

20:37

appreciate the mayor. I appreciate the

20:39

DA, but we don't have to live this way

20:40

and there's more that can be done.

20:41

>> That is exactly it. You do not have to

20:44

live this way.

20:45

>> Yes. Do not stand for it, folks. Okay,

20:47

here we go. Lots of topics. The USChina

20:49

trade battle is continuing. Uh, and this

20:53

time we have a new wrinkle. Trump and

20:56

she are set to meet in South Korea later

20:59

this month. They're going to work out a

21:00

grand trade deal. And this would be

21:02

their first in-person meeting since

21:04

2019, 6 years ago. But last Thursday,

21:07

China announced new export controls on

21:09

12 of 17 critical rare earth minerals

21:12

effective December 1st. Obviously, we

21:14

need these for EVs, batteries, your

21:16

AirPods, everything. And on Friday,

21:19

Trump threatened 100% tariff on all

21:21

Chinese imports on top of the existing

21:23

tariffs as of November 1st and accused

21:26

the CCP of trying to quote hold the

21:30

world captive. Stock market tanked,

21:33

recovered on Monday when Trump told

21:35

everybody, "Don't worry about it. It's

21:36

going to be all good." So far this week,

21:39

things have mostly deescalated. Friend

21:41

of the pod, Treasury Secretary Scott

21:44

Bessant said the Trump meeting is still

21:47

on track and quote, "We have

21:50

substantially deescalated." Also, he

21:53

said the 100% tariff does not have to

21:55

happen. However, on Wednesday, Vesscent

21:58

called the export controls unacceptable

22:00

and that it's China versus the free

22:03

world. Let's take a pause here.

22:06

Freeberg, thoughts on price controls

22:08

generally, and if you want to expand

22:12

into the overall relationship with China

22:14

as it relates to rare earth metals, go

22:16

for it. Bessum's comments on the price

22:17

controls speak to what he calls a

22:19

non-market economy, meaning that the

22:22

Chinese government is intervening and

22:24

creating artificial surplus in the

22:27

market, which drives prices down and

22:29

effectively eliminates competition. And

22:31

so the Chinese push in the '90s,

22:35

supported by the CCP, ultimately

22:37

eradicated competition and made it

22:40

non-competitive for US companies. So

22:43

they exited the market and now the

22:44

United States finds itself completely

22:47

dependent on Chinese suppliers.

22:49

Particularly as it relates to rare

22:50

earths, there was this company called

22:52

Molly Corp that ended up going out of

22:54

business. The asset, the Mountain Pass

22:56

mine that Molly Corp operated, became MP

22:59

Materials, which Chimoth knows well and

23:02

did this big deal recently with the US

23:05

government as they've tried to

23:06

revitalize production at this mine and

23:09

increase output. Freeberg, can you

23:11

explain price floors for people just in

23:13

case?

23:13

>> So price floors are that the government

23:16

is going to mandate that things have to

23:18

cost at least X. So they increase the

23:20

price of inputs and basically make it

23:23

more difficult for China to undercut

23:26

pricing which increases the rationale

23:30

for capital to invest in starting

23:32

competitors because now they can have a

23:34

guarantee of revenue or guarantee of

23:35

price. But the problem is that I would

23:38

argue the government's role maybe

23:40

shouldn't be in setting price floors

23:41

because that creates, you know, a very

23:43

bad effect long term on the market. The

23:46

government should deregulate and create

23:48

a more free market in the US. A large

23:51

reason why mining and processing of the

23:54

ores moved offshore was because of the

23:56

regulatory environment in the United

23:58

States which made it difficult to

23:59

compete with China. We could argue about

24:00

the environmental laws and how extensive

24:02

and how relevant they may be today

24:05

relative to the '90s, but this created a

24:08

real challenge for companies to compete

24:10

because it was so much more expensive to

24:11

operate in the US. So I would argue we

24:13

should be focusing not so much on

24:15

setting price floors to create an

24:17

incentive for folks in the US to get

24:19

involved in the industry, but rather to

24:20

deregulate and to provide perhaps tax

24:23

incentives and other economic

24:25

incentives. So you don't inflate the

24:27

cost of things, but you create a much

24:29

more kind of liquid market and drive

24:31

much more volume and interest in in

24:33

building on this side.

24:35

>> All right, price flaws. When we were

24:36

talking about Kla Harris running for

24:39

president, she was asking for price

24:41

flaws and price fixing and making sure

24:44

the government got involved in this. How

24:46

is this different, sex? Well, look, as a

24:49

general matter, I agree that the federal

24:51

government shouldn't be setting the

24:52

prices of goods and it shouldn't be

24:54

picking winners and losers in the

24:55

economy. But I think this is a different

24:57

situation because over the past 30

25:00

years, we haven't really had a free

25:02

market in rare earth. What's basically

25:04

happened like Freeberg was saying, China

25:05

has been allowed to dominate this

25:07

industry. And specifically what they did

25:10

is starting 30 years ago, they

25:12

identified rare earths and rare earth

25:13

magnets, the rare earth processing as a

25:16

very strategic element in the supply

25:18

chain. And they set out to dominate it.

25:20

And they did that by massly subsidizing

25:22

their businesses and driving all of the

25:26

US competitors and the global

25:27

competitors out of business. And they

25:30

were partially allowed to do that by

25:32

stupid WTO rules that allowed quote

25:35

unquote developing nations to subsidize

25:38

their own industries even though China

25:40

is not developing. I mean their economy

25:42

is comparable to ours. And yet these WTO

25:45

rules allowed them to effectively cheat

25:47

by subsidizing their industries at the

25:50

expense of our industries. And the

25:52

result of this is that they do now have

25:54

course of leverage over the supply

25:55

chain. And over the last few weeks, they

25:57

just used that imposing this vast new

26:00

export control regime on rare earth. And

26:03

their idea is to tighten the screws when

26:06

they feel like it and to use rare earth

26:07

as a form of leverage in the

26:09

relationship with the United States. So,

26:11

we're well past economics here and we're

26:13

into international relations. We're into

26:15

the balance of power. We're

26:16

international security. And I don't

26:19

think that the price floors here are

26:21

designed to make the government the

26:23

mediator of what prices should be in the

26:25

free market. They're designed to create

26:28

enough certainty for US investors that

26:32

they can reinvest in rare earths and

26:36

reshore the processing and the casting

26:38

of rare earth magnets. And I just don't

26:40

see another way to be able to create the

26:43

incentives for investors because they

26:45

know that if they invest a lot of money

26:47

in rare earth processing that all China

26:49

has to do is slash the prices and drive

26:52

them out of business. And China

26:53

continually uses that tactic. So I think

26:56

you have to address that if you want to

26:58

alleviate the American dependency on

27:00

this critical resource which China

27:02

currently has control over. This started

27:05

in 2007 or eight with Huenta and what he

27:09

basically said is we're going to create

27:11

six or seven national champions and he

27:14

wanted to create them in the critical

27:17

areas that they needed to dominate over

27:19

the next 20 years and one of those was

27:21

rare earths. Another one was batteries

27:23

and EVs and yet another one was around

27:27

the active principal ingredients or APIs

27:30

that are the core inputs for

27:31

pharmaceuticals. So what do they do? And

27:34

when Ji came into power, Xi Jinping

27:36

continued that huge gental strategy.

27:38

What did they do? It's exactly what Sach

27:41

said, which is they have this very

27:42

aggressive form of mercantalism. How do

27:45

they affect that? They are willing

27:48

through provincial balance sheets,

27:50

through federal balance sheets, through

27:52

loan guarantees, through organizations

27:55

that are quasi public private

27:56

partnerships. They step into markets and

28:00

they can effectively change the spot

28:01

price on demand. Now, why is that

28:04

problematic in America? I'll tell you

28:07

the example of one of our businesses.

28:09

You do these deals that are called take

28:11

or pay agreements. So, MP has a deal

28:13

with General Motors, one of my

28:14

businesses that makes LFP cathode. Same

28:18

deal with GM. You do what's called a

28:20

take or pay, which means that General

28:22

Motors steps up and says, "Great, I will

28:24

buy X amount of volume from you at Y

28:26

price.

28:28

And so you go and you take that deal to

28:30

Wall Street and you say, "I need

28:34

financing to build a factory or a

28:36

capability." Contrast that to the

28:39

Chinese company who just goes to the

28:40

government and the government says,

28:42

"Here's a bunch of incentives and money

28:44

and price breaks. Just go build it." So

28:46

already we're a little bit behind, but

28:50

it's much more free market and it's more

28:52

transparent. So you take a deal, you go

28:55

to Wall Street, they give you money, you

28:57

start building it, you start to produce

28:58

it, and then you expect General Motors

29:01

or Ford or Tesla to start buying this

29:03

stuff. But as Sax said, if all of a

29:05

sudden China sees it, what they do is

29:06

they enter the market and they will dump

29:09

an enormous volume of that product into

29:11

the spot market. What happens? The price

29:14

craters. Now all of these end buyers are

29:18

in a really tough position because their

29:20

competitors can buy at a much bigger

29:22

discount that they can. They have to

29:24

flow that price through their products.

29:26

Their prices are more expensive. They

29:28

have less demand. And that's the huge

29:30

negative cycle that China has complete

29:32

control of. So why is the federal

29:34

government stepping in to create what is

29:38

essentially a last resort buyer of

29:41

record? It is so critical in these

29:43

markets because the US balance sheet is

29:46

the only one that can create a strategic

29:49

reserve around these inputs. Not

29:52

dissimilar to how we do with petroleum.

29:54

We can nominate now things that are

29:56

critical dispos

30:00

all of these things that can now absorb

30:04

the price shocks that China may

30:06

otherwise be able to affect. So I think

30:09

this structure where we now have these

30:10

public private partnerships frankly is

30:12

the only practical antidote to dealing

30:15

with this issue. Otherwise we're always

30:18

going to be prone to this very clever

30:21

and accurate and smart mercantalism from

30:24

the Chinese. So I'm I'm a big fan of

30:26

this general market structure. It's the

30:28

only way that you cannot be theoretical

30:31

and actually respond to the conditions

30:32

on the ground. Yeah, we've been doing a

30:34

little research on this and here is

30:36

neodyinium.

30:38

>> This is one of the one of the two inputs

30:40

for for magnets for permanent magnets.

30:42

>> And uh you can see here $50,000 for a

30:46

ton back in 2020 during CO it spiked

30:48

almost up to a quarter million dollars

30:51

and then it came back down. So look, you

30:52

can you can imagine like it's incredibly

30:55

difficult when there's that much

30:56

volatility

30:58

>> to try to buy capex, to try to plant

31:01

opex, to try to extract from the ground,

31:03

go through all of the regulatory

31:05

rigomearroll that western countries have

31:07

to go through and then all of a sudden

31:09

have a sale price that you can't

31:10

control. And if you look at the cost, we

31:12

were just doing some research on it. You

31:14

know, if you get your AirPods, it's one

31:16

or two% of the cost of that. medical

31:18

devices, it's a lot more. But even in a

31:20

Tesla Model Y, it's it's le it's 10

31:22

dips.

31:22

>> It's less than I think this is an

31:24

inaccurate way of looking at it. You

31:25

have to look at the actual mass.

31:28

And so the real problem is in in cars,

31:32

in engines, you're talking about tens of

31:34

kilos ultimately, and that's where the

31:36

real costs build up. And then

31:37

separately, the permanent magnets that

31:40

go into cars, you can work your way

31:42

around. The real in future markets that

31:46

really matter is in robotics because

31:48

these permanent magnets are the key

31:50

input to the actuation mechanism of the

31:53

robots. Meaning how do the robots move?

31:55

How do the joints move? Through

31:56

actuation that happens because of rare

31:58

earths and permanent magnets.

31:59

>> And as Elon said at the summit, he's

32:02

building all those himself.

32:04

Right now, only 7% of the known deposits

32:08

of it have been found. There's plenty of

32:10

it out there. But to your point, I came

32:12

to the same conclusion as you, Chimath,

32:14

which is we should be building a

32:15

strategic reserve of these. And if you

32:17

look, we could be, you know, buying them

32:19

when these things are down and deploying

32:20

them

32:22

>> when we need to do something different.

32:23

I think instead of trying to like time

32:25

the market, I think what the United

32:27

States can be much better at is having a

32:29

broad forecast of demand, knowing how

32:32

many million tons of this stuff we will

32:34

need and just thoughtfully and

32:36

methodically being a purchaser of record

32:39

to create these strategic reserves. And

32:41

then the worst case that can happen is

32:42

you can do a swap

32:44

>> with these customers. So Tesla all of a

32:47

sudden can't go into the spot market.

32:49

They should be able to come to the

32:50

strategic reserve and be able to buy

32:52

lithium. you know, General Motors needs

32:54

something, whomever, right? Figure

32:56

robots need something. I think that

32:59

mechanism is the only way we can compete

33:01

effectively on a day-to-day basis with

33:02

the Chinese.

33:03

>> I mean, I would argue I think we

33:04

actually if we let the market work and

33:07

we create the necessary kind of

33:09

structure to allow the market to

33:11

operate, meaning the regulatory barriers

33:14

are diminished to develop mines and to

33:18

conduct the processing of the ores. So

33:20

there's two sides of the equation when

33:22

it comes to this kind of industry of

33:23

rare earths. The one is mining the ore.

33:26

You know this mountain pass site which

33:28

is kind of on the border of California

33:30

and Nevada which is now MP materials.

33:33

They've got this rare earth ore called

33:36

bastnite. That's the ore that you get

33:38

out of the ground. And then you have to

33:40

process that ore to get the elements out

33:42

of the ore that you want to use in

33:44

manufacturing. The processing steps. I

33:47

kind of went a little bit deep on this

33:48

over the last week because I got really

33:50

interested in why we don't do this

33:52

anymore in the United States. And there

33:54

is so much nasty

33:57

output from this process. You're using

34:00

very strong acids to do leeching. You do

34:04

processing, you do extraction,

34:05

refinement. All of the material kind of

34:07

gets separated out from the rock and

34:10

it's dirty. And as a result, there's

34:12

byproducts and waste and environmental

34:16

exposure, but also human personnel

34:18

exposure. But the technology hasn't been

34:21

deeply developed in 40 years. It's still

34:24

kind of 40-year-old chemical engineering

34:26

technology. And we stopped developing it

34:29

about 40 years ago in the United States.

34:31

>> It's not even technology. It's no

34:32

>> Yeah, it's not. It's just it's just

34:34

metallergy and chemistry. But but there

34:36

are techniques now that can be applied

34:39

that can do this in a kind of scalable

34:41

safer way without any of the

34:42

environmental hazards. But this is

34:44

largely why this shifted over to China

34:46

is they didn't have the sort of

34:47

regulatory um burdens that we have in

34:50

the United States which made it much

34:51

cheaper and the labor cost was much

34:53

lower. But with automation and certain

34:55

systems we can actually process this

34:57

ore. It's not super complicated. It's a

35:01

series of well understood steps of

35:03

chemistry and mechanical separation. So

35:07

we could process ores. The other kind of

35:09

important point is there could be well

35:11

over a thousand times the proven

35:13

reserves of rare earths in the existing

35:16

proven reserve catalog using new

35:19

discovery techniques. So USGS, the

35:22

geological survey in the United States

35:23

has this kind of earth MRI system where

35:25

they're trying to do new mapping. But

35:27

there's also several private companies

35:28

that can use radar and microwave imaging

35:31

and then you can use the system of

35:33

interferometry where you actually put

35:35

multiple beams down underground and you

35:37

can get a better read or a better

35:39

understanding of where these ores might

35:41

lie. And there are unproven reserves in

35:44

Texas, in Wyoming, in Colorado, in

35:46

Missouri, all over the continental

35:48

United States. So if we did decide, hey,

35:51

this is strategic to us, I do think one

35:53

of the important points is that we could

35:55

unlock both new kind of discoveries and

35:58

new refinement systems in the United

36:00

States and actually be truly competitive

36:02

with China if we put the will behind it.

36:04

So I think like this is a good moment

36:06

for the United States to observe what's

36:08

going on and not just kind of be, you

36:10

know, focused on China's production. I

36:11

think we could outpace them and and um

36:13

and accelerate through this if we chose

36:15

to. So, Saxs, where does all of this fit

36:18

in to the broader agreement? And do you

36:20

think that they're going to go to South

36:22

Korea and come out with a deal? And do

36:23

do you have a sense of like what the

36:24

contours have to be to make this a

36:26

success?

36:28

>> Well, the Treasury Secretary, Scott

36:29

Besson, who we know, just said that the

36:32

Trump meeting is still on track and he

36:35

also said that we have substantially

36:37

deescalated and that the 100% tariff

36:38

does not need to happen. So, he says

36:40

it's still on track. By the way, I think

36:41

he's doing a phenomenal job here. he

36:43

really understands the intricacies of

36:45

this trade relationship and I think he's

36:47

capable of both applying pressure but

36:49

then also finesse. So I think he's doing

36:52

a great job on this. But in any event, I

36:54

think the reason why you want to have

36:56

the leaders meet, President Trump and

36:58

President Xi, is that I think that this

37:01

relationship, this bilateral

37:02

relationship between the US and China

37:05

will work best when there's an agreement

37:07

at the top. And what I mean by that is

37:10

that when you just let the various

37:12

bureaucracies deal with each other,

37:14

you're more likely to have

37:16

misunderstandings or or food fights. So

37:19

let me give you an example. Over the

37:20

past few weeks, obviously you've had

37:22

this Chinese Ministry of Commerce passed

37:25

these export controls on the rare earth

37:28

which created the possibility of greatly

37:30

limiting the access of not just American

37:32

companies but companies all over the

37:34

world to Chinese rare earths. They've

37:36

sort of backed away from that.

37:37

Separately in the US, you had movements

37:39

by our government to greatly expand the

37:42

export control list. And basically,

37:43

there was a interim final rule that was

37:45

issued by the commerce department on

37:46

September 29th that said that if a

37:49

Chinese company is on the export control

37:51

list, that restriction should also apply

37:53

to any of its affiliates or subsidiaries

37:55

that are more than 50% owned by that

37:57

company, which is kind of obvious,

37:59

right? You don't want a Chinese company

38:01

like Huawei to circumvent the entity

38:03

list by simply setting up a shell

38:04

organization. And so I think it was a

38:06

perfectly reasonable rule to issue, but

38:09

then China reacted to that very

38:11

strongly. And so there's just such a

38:13

high chance of the two sides

38:14

miscommunicating with each other and

38:16

over escalating when you just allow the

38:19

bureaucracies to talk to each other. And

38:20

I think what's most needed right now is

38:23

to have a grand bargain between

38:24

President Trump and President Xi. And

38:27

that will then calm down the

38:28

relationship. And obviously this is

38:30

going to be a very competitive

38:32

relationship for as far as the I can see

38:34

because there's both security and

38:37

economic competition going on. But I do

38:39

think that when you have an

38:40

understanding at the top, it creates

38:42

conditions for more stability.

38:44

>> All right. Traders on poly market think

38:47

or know depending on the situation that

38:50

we are going to see cooler heads

38:51

prevail. 15% chance of the 100% tariff

38:54

on China going into effect by November

38:56

1st. In other words, 85% chance it's not

38:59

going to happen. 73% chance of USChina

39:02

trade agreement by November 10th.

39:04

>> Who do you think has the greatest

39:06

incentive to decouple?

39:09

The US or China?

39:10

>> I think both sides understand that they

39:12

can no longer be dependent on the other

39:16

for things that they consider to be

39:18

critical. So, I mean, the US has

39:20

realized, wait a second, we can't allow

39:22

China to have a monopoly on rare earths.

39:24

And by the way, it's not just the the

39:25

rare earth, the processing, it's also

39:27

the casting of the rare earth into

39:28

magnets. So there's this long tale of I

39:31

don't know 20,000 different kinds of

39:34

magnets that are made from rare earth

39:36

that are used in the industrial supply

39:38

chain. And if China were to cut those

39:41

off, then it would greatly impede

39:44

manufacturing of pretty much every

39:45

different kind of electric motors from

39:47

cars to other goods. So in any event, my

39:50

point is just the US clearly cannot be

39:52

dependent. I'm sure that China is

39:53

reaching a similar conclusion. That

39:55

doesn't mean that trade can't happen

39:57

between the two countries. I'm sure it

40:00

will continue. But I don't think either

40:02

side wants to be in a position where the

40:04

other side can use its leverage beyond

40:08

just economic terms into geopolitics.

40:11

But with respect to the belt and roads

40:13

initiative, like don't you think China's

40:15

been planning for the decoupling in kind

40:17

of a very long viewed way relative to

40:19

the United States and they're more I

40:21

would say prepared and active to execute

40:24

the decoupling whereas the US still is

40:26

waking up to the fact that there are

40:28

certain kind of critical supply chain

40:30

dependencies that we have with China and

40:31

maybe we shouldn't be decoupling as

40:33

quickly as we stated our intention to.

40:36

Like it feels like they're in a pretty

40:38

advantaged position. Sachs and both the

40:41

buy side and the sell side.

40:43

>> They have 20% youth unemployment. They

40:45

have a demographic time bomb that's gone

40:48

off. They have a pretty morabund real

40:50

estate market. They have very little to

40:52

none foreign direct investment. So I

40:55

don't agree with you.

40:56

>> Okay.

40:56

>> Well, I I would just say that I think

40:58

what China has been doing

40:59

>> meaning they're they're just as

41:00

challenged as we are. They have

41:01

different challenges.

41:01

>> Yeah. No, it's good it's a good point.

41:03

Yeah.

41:03

>> I would just say that I think that China

41:05

is a rising great power. I think that

41:07

over the last decade their economy grew

41:10

to the point where it's roughly the size

41:11

of the US's economy. Certainly on a on a

41:14

PPP basis, it might even be bigger,

41:18

>> right?

41:18

>> But on an international currency basis,

41:20

it's still smaller. But anyway, the

41:21

point being that as China has risen as a

41:24

great power, it sought to create its own

41:26

international institutions. And so if

41:28

you think about, you know, what the US

41:30

has, the US has NATO obviously and the

41:32

G7 and the World Bank and the IMF and

41:36

all that kind of stuff. And what China

41:38

has sought to do is create, you know,

41:39

they created the Shanghai Cooperation

41:41

Organization, which is a security

41:42

focused organization. I wouldn't call it

41:45

quite the equivalent to NATO, but it's

41:47

trending in that direction. They've been

41:49

probably the main sponsor behind bricks

41:51

and Belt and Road, I think, is part of

41:52

that. They're creating their own network

41:54

of relationships. are creating their own

41:56

international order and it is a

41:58

challenge to the US order. I mean during

42:01

the unipolar moment from say 1991 to I

42:05

don't know 2017 the US was the only

42:07

great power in the system and we

42:08

basically defined all the key

42:10

international institutions and China as

42:13

it's risen has done what all great

42:16

powers seek to do which is to create

42:18

their own order and so yeah I think they

42:20

do want to be somewhat independent of

42:22

the US they don't want to be dependent

42:23

on us and I think we're realizing that

42:26

we have to act the same way and the

42:28

shame of it is that when we were running

42:31

all the key institutions during the

42:33

unipolar moment like the WTO. We engaged

42:36

in so many foolish policies that allowed

42:38

China to dominate rare earths. I mean we

42:40

should never have let that happen.

42:41

>> Can I clarify one thing which is I think

42:43

that a lot of people don't know this

42:46

historical artifact which I think is so

42:47

fascinating which is I don't think China

42:50

is a rising power. I think China is a

42:52

reasscending power. And the reason I say

42:55

that is if you go back to 1500 to now,

42:58

over all of those years, China had the

43:01

world's largest GDP 70% of those years.

43:06

>> 70%.

43:08

So if you think about it in that

43:09

context, especially as a Confucian

43:12

society, I think the Chinese think about

43:14

this as hold on, this is reasserting the

43:17

dominance that we've always had. And I

43:19

think if you start to look at it through

43:20

that lens, that's why they view the

43:23

blending of public private partnerships,

43:26

the organizations that go and help backs

43:28

stop private companies in China. The

43:32

other interesting thing which I learned

43:34

studying China is how they allocate

43:37

capital. The capital allocation system

43:39

is both rigid, but it's incredibly

43:42

flexible. What do I mean? The way that

43:43

China allocates money is the following.

43:45

You have Xi Jinping and his close circle

43:47

of people. They dictate the priorities,

43:49

right? I think there was an article,

43:51

Nick, you can find it. But Xi is

43:53

personally right now helping to draft

43:55

the five-year business plan of China.

43:57

But what happens is is it goes from that

43:59

central group of like 7 8 n people to

44:03

the pala bureau. And when it gets

44:05

approved by the pala bureau, it gets

44:06

sent to all the provinces and then it

44:08

gets sent to the prefectures. So an

44:10

example was in 2006 and 7 when they

44:13

decided to prioritize EVs. What you

44:16

effectively have is a cascading set of

44:18

venture capitalists who are operating

44:21

against a national priority and then

44:23

they are rewarded for it. And so you

44:25

essentially have 300 VCs running around

44:29

organizing human capital in all of these

44:31

different provinces against all of these

44:32

different priorities. And at the end of

44:35

that you get a BYD or you get a Xiaomi

44:37

or you get these great companies. And I

44:40

think that that is what's so daunting if

44:42

you think about it. So that's another

44:44

thing that we have to factor as well.

44:46

They have

44:46

>> and they have they have one of those

44:47

plans Jamoth for every industry not just

44:50

so they have like an agriculture

44:51

five-year plan. They have an energy

44:53

5-year plan and in each one it details

44:56

out their forecast of not just like how

44:58

to catch up but what's possible and

45:00

that's why they're charting new new

45:02

avenues of innovation in nuclear power.

45:05

Yeah. It's about them, I think, getting

45:07

back to where they have been as opposed

45:10

to them realizing

45:12

that they could potentially be the

45:14

world's largest economy. It's more them

45:16

saying, "We were the largest for so

45:18

long. We took our eye off the ball and

45:21

now we need to get refocused." I think

45:23

that's more of a national pride kind of

45:25

motivation here. But it's obviously

45:28

different people, different country,

45:29

different governing structure, etc.

45:31

>> Isn't that incredible though? 70% of the

45:33

year since 1500 they had the largest GDP

45:35

in the world.

45:35

>> It is incredible.

45:36

>> It's stunning.

45:36

>> Yeah. I mean, there were these

45:37

innovations that drove some of these

45:40

ships. The technology of ships and

45:42

fleets of ships drove the Dutch Empire

45:45

to its prowess and then the British

45:46

Empire to its prowess. And there were

45:48

these moments of technological

45:49

innovation. But you're right, always on

45:51

the heels was China. And this may be

45:52

China's moment of resurgence across the

45:55

board.

45:55

>> The person who really saw this ahead of

45:58

the curve was Lee Kuan Yu from

46:00

Singapore. basically the founder of

46:01

Singapore

46:02

>> and Graham Allison wrote a book about

46:04

Lee Kuan Yu where he talks about his

46:06

insights and there's a couple of quotes

46:07

here that I think are are really good on

46:09

this. What Lee Kuanu said is that it's

46:11

not possible to pretend that this China

46:14

is just another big player. This is the

46:16

biggest player in the history of the

46:17

world and he also said that the size of

46:20

China's displacement of the world

46:22

balance is such that the world must find

46:24

a new balance. So

46:27

Jamath, like you're saying, China was

46:29

the biggest power in the world for

46:31

hundreds of years and then it was kind

46:33

of overtaken by the the western powers

46:35

and now it's kind of reasserting itself.

46:37

But in any event, this is why I think

46:39

that during the unipolar moment, the US

46:41

should have been a lot more careful

46:42

about facilitating China's rise

46:44

>> because we created a monster. And this

46:46

is the point that

46:47

>> professor Mirshimer has made many times

46:49

and he wrote about this going back to

46:50

2002 saying in his article about whether

46:53

China could rise peacefully and he said

46:54

the answer is no because if we

46:56

facilitate their rise we will create a

46:58

geopolitical competitor and we'll go

47:00

from being a unipolar world order to a

47:03

multipolar world order and that's

47:04

basically what's happened. But at the

47:06

time, just remember like when when they

47:07

were admitted to the WTO and the

47:09

motivation was really about lowering the

47:12

cost of goods and services for the

47:15

American consumer, which was like an

47:18

intrinsically reasonable motivation. It

47:20

wasn't like there was some nefarious

47:22

intention at the time, but it was

47:24

shortsighted in that it didn't do the

47:25

calculus. Fast forward 20, 30, 40 years

47:29

to determine, well, if we then kneecap

47:30

our ability to actually produce

47:32

anything, where are we going to be if

47:34

they do start to decouple? That's

47:35

>> it was hubris though. It was hubus

47:37

because we thought that there was only

47:39

one great power in the system and that's

47:41

the way it would always be. We thought

47:42

great power politics was off the table

47:44

and we thought that we were at the end

47:47

of history.

47:47

>> It wasn't hubris, it was greed. the the

47:50

CEOs at the time and the people who were

47:53

influential in making donations to

47:55

politicians wanted to make more money.

47:58

That's why they did it. They didn't do

47:59

it with anything other than a profit

48:01

motivation, which is greed.

48:02

>> Part of American like mindset at the

48:04

time was that we had a monopoly on

48:06

knowledge work, right? And this was I

48:08

think very key. This this speaks to the

48:10

hubris of the decision-m was that this

48:12

knowledge work is where you create a

48:13

separation of labor from intellect. and

48:16

that there was this idea that America

48:18

would move into a services economy fully

48:20

and not have to be in a labor economy

48:22

and the labor economy could be

48:23

outsourced.

48:25

Ultimately, that didn't yield true. The

48:27

the internet kind of created a rival to

48:29

knowledge work or a diffusion of

48:31

knowledge and diffusion of knowledge

48:33

capacity to societies around the world,

48:36

which really did create a different

48:37

structure than we anticipated at the

48:39

time.

48:40

>> I think that's looking in the rearview

48:41

mirror, Freeberg. I think the the CEOs

48:43

at that time were like how do we

48:44

increase the profit margin on an iPhone

48:46

on a a PC on any product being created

48:49

and the way to do that is find the

48:50

lowest I

48:51

>> labor source possible and that was China

48:53

they just did it out of just pure

48:55

>> so that was part of it but there was

48:57

another factor here as well which I I do

48:59

think the ideology was really powerful

49:00

and remember in the 1990s the leading

49:04

philosopher or international relations

49:06

theorist the most celebrated book was

49:07

the end of history by Francis Fukyama

49:10

and what he basically said is that we're

49:12

at the end of history because liberal

49:13

democracy has won and it's only a matter

49:15

of time before the whole world becomes

49:17

liberal democracies. And the theory

49:19

about China was that if they got rich,

49:21

they had become more like us, that

49:24

people would rise up and demand a

49:25

liberal democratic government as they

49:27

became rich. And so we then justified,

49:30

and there probably was an element of

49:31

greed to this as well, we then justified

49:34

helping China rise on the grounds that

49:37

somehow this wealth would turn him into

49:39

a democracy. And in fact, all that it

49:42

did was make them richer and more

49:44

powerful. It didn't change their

49:46

government. It just turned them into a

49:48

huge geopolitical competitor to the US.

49:51

The author who actually predicted this

49:52

and well there's Mir Shimemer who

49:54

predicted in the early 2000s also Samuel

49:56

Huntington wrote a book

49:58

>> called the Clash of Civilizations in the

49:59

mid '90s that was sort of the opposite

50:03

of end of you know end of history was

50:05

celebrated. Clash of Civilizations was

50:07

sort of reviled. But what Huntington

50:09

said is that what these other

50:12

civilizations want around the world is

50:14

not westernization. They want

50:16

modernization.

50:18

And as they modernize and become richer,

50:20

they're not going to basically

50:22

westernize. They're going to become

50:23

competitors to the western order. And

50:25

that's basically what happened.

50:26

>> I thought for sure you were going to say

50:28

Freriedman's the world is flat, which

50:29

was I think air cover for all this

50:31

because you would get the peace dividend

50:32

if everybody had McDonald's and

50:34

everybody was watching the same movies.

50:37

Go ahead, Shimat. You have some

50:38

thoughts.

50:38

>> That Huntington book is actually

50:39

exceptional. The thing with Francis

50:41

Fukuyama is he he writes in this

50:43

beautiful way, but he literally bats

50:45

zero. It's like you could basically read

50:49

a Francis Fukuyama book and understand

50:50

that whatever the opposite of what he

50:52

wrote is likely going to happen. That

50:54

anyway, that's neither here nor there.

50:55

But I just wanted to pick on what Jason

50:57

said because I agree with him. The thing

50:58

is you had a lot of this geopolitical

51:01

tension sacks which I think you

51:04

articulated it well like the elites were

51:06

coming together like we're going to

51:07

convert China we're going to do all of

51:08

this stuff and I think that was a trend

51:10

but then what hyperacelerated it in my

51:13

opinion was something that was very

51:14

tactical which Jay Cal mentioned which

51:17

is the compensation plans of most of the

51:20

executives and CEOs of these public

51:22

corporations started to get very tuned

51:25

to gameable metrics like EPS in and

51:28

around that same time. And so Jason's

51:30

right, the direct financial incentives

51:32

to basically think about this as a

51:34

monocultural global world where you can

51:37

just export things to every nook and

51:39

cranny of the world to optimize for the

51:41

flow of profits back to you, trap them

51:43

in any country you want because it

51:44

doesn't ultimately matter to your

51:46

compensation.

51:47

That perversion also happened at the

51:50

same time which I think accelerated what

51:52

otherwise would have given us maybe

51:54

another decade or two to realize that we

51:56

weren't in complete control of our

51:58

destiny.

51:59

>> So it gets um you can see it also in

52:01

Taiwan with like how in the world did

52:03

90% of the chips come out of one tiny

52:05

island? It's just capitalism like it's

52:08

the best place to do it at the cheapest

52:09

price, the most efficiently. And then

52:11

you have now this dependency on Taiwan

52:14

because we didn't think about redundancy

52:16

and supply chain. Freeberg, in related

52:18

international news, Trump is put up or

52:22

the Trump administration has put up

52:24

about $40 billion to help out Argentina.

52:27

Can you explain what's going on there?

52:29

>> They're trying to bolster the credit

52:30

rating of Argentina with the currency

52:32

swap that's related to the financial

52:35

condition the promise proponents would

52:37

argue he inherited. the opponents would

52:40

say, you know, he's making things worse.

52:42

The US is stepping in to support his

52:44

free market kind of principles that are

52:47

ultimately going to drive crossber

52:49

cooperation. So, I think that the swap

52:50

agreement puts in place a bolstering of

52:53

support. I thought this was related

52:55

directly to the to rare earths

52:56

>> to rare earths. I I'm not sure about

52:58

rare earth. All right, Jamal. Uh I saw

53:01

you retweeting some of this and there's

53:03

been a little bit of a back channel in

53:04

the last 48 hours. Kind of breaking news

53:06

here. data centers are spiking the cost

53:10

of energy or people are perceiving it to

53:13

be doing so in different geographies

53:16

here in the United States and I guess

53:19

not wanting to be hated or get into wars

53:21

with consumers some big tech companies

53:25

are standing down plans explain what's

53:27

going on here Chimathan if this is a

53:30

trend yet

53:31

>> I put this out there when I wrote that

53:33

because I I do think that this is the

53:36

beginning of a trend. Just to be very

53:38

specific, Google was planning a $1

53:41

billion spend on a data center in

53:44

Indianapolis County or Indianapolis. And

53:48

essentially what happened was there was

53:51

enough push back that it looked like if

53:54

it went to vote in the city council,

53:56

they would have voted against the

53:59

approval of the data center, against the

54:01

the necessary zoning and other

54:03

regulatory approvals. And so I think to

54:06

avoid what would have been an awkward

54:08

press cycle, Google just pulled it and

54:10

said, "Don't worry, we're not going to

54:11

do this here." And so that in and of

54:15

itself I think is an isolated incident

54:17

except that in this same week it

54:20

happened two other times

54:22

>> in Wisconsin there was a proposal very

54:26

similar to Google's but this time from

54:27

Microsoft where again those local

54:30

residents got pretty upset and in the

54:33

11th hour Microsoft pulled it and then

54:35

in the third example there was an

54:38

attempt by an Amazon data center to get

54:42

built near Tucson. That I think also was

54:47

mothballled. So why is this happening?

54:51

When I tweeted this out or when I posted

54:53

it rather, the comments were pretty

54:55

instructive. I think that there are

54:56

three things that I took away from it.

54:59

Thing number one is that people are

55:02

seeing their prices of electricity go up

55:06

in the local areas where the data

55:08

centers are being built.

55:10

The second is that people are worried

55:13

about the water consumption of these

55:15

data centers and the cost of water and

55:18

the access to clean water and that the

55:21

plans to be netneutral on water

55:23

consumption may or may not be real. So

55:26

there's a concern there. And then the

55:28

third that many of the people commented

55:29

was about the actual noise pollution

55:32

that it was creating. But I I took a

55:34

step back from this and my thought is

55:37

very simple, which is it actually speaks

55:40

to one of three very important

55:43

inflection points that we're dealing

55:45

with on the AI side, right? So one of

55:48

them we talked about last week, which is

55:49

you can't have 50 state laws, right? It

55:52

needs to come from the federal

55:54

government so that there's one set of

55:56

regulation and that there's clarity. So

55:58

effectively what Sax has been able to

56:00

execute on the crypto side, I think his

56:02

intention is to try to do this on the AI

56:04

side and I think the federal government

56:06

needs to be given a chance to do that.

56:08

Otherwise locally in the United States

56:10

the only winners are going to be lawyers

56:13

and then we're going to create an own

56:15

goal and China's going to win. Okay.

56:18

Second, we just talked about it is the

56:20

government needs to be the economic

56:22

backs stop to the US supply chain that

56:25

powers AI, right? And we talked about

56:27

all these things, the metals, the

56:28

minerals, the rare earths, so that the

56:30

tax that companies can extract are

56:34

mostly market driven and not

56:36

exploitative and doesn't create air

56:38

pockets in the funding cycle. Okay, so

56:40

we talked about that. But here's the

56:41

thing that nobody talks about. When you

56:43

look at these data centers, I think what

56:44

it's saying bottoms up is that these

56:47

hyperscalers need to get these

56:48

communities on their side. I think that

56:51

there is no understanding of what a

56:54

token is. What is a token? I don't think

56:56

if you ask the average person on the

56:58

street, they know what it is. What they

56:59

know is that tokens are not jobs.

57:02

And if AI is going to be embraced by the

57:05

public, I think what we need to do a

57:07

better job of is to show the tangible

57:09

economic benefits, especially in places

57:12

like Wisconsin and Indiana that may feel

57:15

like they're missing out. So, we can't

57:18

have this narrative that AI may take

57:20

your job away while it's also doubling

57:23

your electricity price because they're

57:25

not feeling and seeing the abundance

57:28

that we think that it can offer. This is

57:30

exactly right, Chama. If you think about

57:33

the average American citizen, you know,

57:35

they have somebody in their family who

57:37

drives for Uber or Door Dash, they have

57:38

truck drivers, they have Amazon factory

57:40

workers, and all those jobs are going

57:42

away. It's just a matter of when. And

57:44

some people believe we can handle the

57:45

displacement, others don't. ahead. Uh,

57:47

Freeberg

57:48

>> Jal, my idea, just sorry, my idea, my

57:50

idea is you have to use the balance

57:52

sheet of these big companies, use that

57:54

free cash flow and it can act as a

57:57

cushion for a lot of what needs to

57:59

happen. So,

58:00

>> they can pay higher tariffs for

58:02

electricity.

58:04

>> They can also just frankly go and pay

58:05

for some amount of the electricity bill

58:07

of these local folks. They could pay for

58:09

solar and storage if they wanted to.

58:11

There's a plethora of ideas here where

58:14

they probably are going to need to step

58:17

into market to get folks on their side

58:19

and I think they have to do it. It's

58:21

interesting you mentioned that because I

58:22

just had Zack Dell from Base Power on

58:25

this week in Startups last week and what

58:27

they do is they put batteries on the

58:29

side of your house outside their square

58:31

ones so they're not as felt as

58:33

industrial like industrial ones and then

58:36

they will fill those batteries when the

58:39

uh electricity is cheap. They'll deploy

58:41

it when it's expensive. They get the

58:42

arbitrage

58:44

>> and I said to him on the show like it's

58:46

only they only charge consumers I think

58:47

$500 or $1,000 to install it just so

58:49

they have some skin in the game. you

58:50

don't have to rip your roof apart and

58:51

put solar on. It's just batteries. And

58:54

they said, "Well, why don't you do that

58:55

and like do an entire neighborhood? Like

58:57

when they build these 3,000 home infill

59:01

neighborhoods, why don't you put them on

59:02

every single one and then create a

59:04

network for data centers?" And he said,

59:07

"Stand by. That's what exactly what

59:08

we're working on." So it kind of

59:11

combines your idea. Saxs, you're the

59:13

zar. What are your thoughts on what

59:16

Chimath points out is which is the

59:19

average working American and their

59:23

perception of AI? You have job loss, you

59:26

have electric bills going up, and then

59:29

you have, hey, fake news, the reality,

59:31

is this real or not? These sora slop

59:34

videos I'm seeing, it feels like there's

59:36

a little bit of a trend towards um a

59:38

negative framing of the AI innovation

59:40

and maybe it's not going to help the

59:42

bottom half of society. Uh, are you

59:44

seeing that? Do you believe it? And do

59:45

you have plans to counter it?

59:47

>> Well, what I see is that we just came

59:48

off a quarter of 3.8% economic growth,

59:52

of which 40% was attributable to AI. So,

59:55

in other words, if we didn't have this

59:58

AI boom going on, by my math, our GDP

60:01

growth rate in Q2 would have been 2.3%

60:03

instead of 3.8%.

60:05

So AI is the difference between having

60:08

great GDP growth, say around 4%. And

60:12

modest GDP growth around 2%. So it seems

60:15

to me that everyone who wants to have a

60:17

great economy should be supportive of

60:19

this AI boom that's happening. The job

60:21

loss narrative is just that. It's just a

60:23

narrative. It's a story. The media loves

60:26

to tell it. It's mostly theoretical.

60:29

It's mostly anecdotal. You can point to

60:31

a few jobs here and there, but there's

60:33

no evidence of widespread job loss. This

60:35

is just something that people are

60:37

prognosticating about the future. And in

60:40

every previous technological revolution

60:43

that we've had, yes, the jobs have

60:44

shifted, but they've shifted from more

60:47

rote jobs to more sophisticated jobs

60:50

that create a higher standard of living

60:52

for everybody. The best example being

60:54

that in the year 1900, 50% of the US

60:57

economy was involved in agriculture. In

61:00

other words, one out of every two people

61:01

were farmers. By the year 2000, that

61:03

number had dropped to 2%. The

61:05

difference, the 48% did not become

61:08

unemployed. They went off and did other

61:10

things. They worked in factories, for

61:12

example, and they went into the services

61:14

part of the economy. So I think what's

61:16

going to happen here is that AI is going

61:19

to enable people to shift their work to

61:22

more gratifying and less wrote parts of

61:25

the economy that will increase

61:27

productivity and standards of living for

61:29

everybody. Biology has a really good way

61:30

of explaining this and I think this goes

61:32

to the heart of why the job loss

61:34

narrative is a fallacy is because humans

61:37

are endto end. What makes them really

61:39

good and irreplaceable is that they can

61:41

do an entire job end to end and they can

61:43

pivot their objective and figure out

61:44

what their objective should be. AI is

61:46

not like that. It has to be told what to

61:48

do. It has to be prompted and then when

61:50

it gives you a result, that result has

61:52

to be validated to make sure it's not

61:53

hallucinating. And then frequently you

61:55

don't really get the result you're

61:57

looking for. So you have to iterate and

61:59

you have to reprompt and you go through

62:01

this loop where you do it over and over

62:02

again until you get something that's

62:04

valuable. So in other words, humans do

62:06

the things at the end. They do the

62:08

prompting and validation. AI does the

62:10

stuff in the middle. So as biology says,

62:12

humans are end to end. AI is middle to

62:14

middle. This is why fundamentally I

62:16

think that AI and humans will be very

62:18

synergistic. AI will not be a

62:20

replacement for humans. They're going to

62:21

do the stuff in the middle that humans

62:23

don't like to do and it's going to allow

62:25

humans to be much more productive. So

62:27

right now I'm very optimistic about this

62:29

boom. And I do think that people who are

62:31

criticizing it should really think about

62:34

whether they want the US to have 2%

62:37

growth rates or 4% growth rates because

62:40

that's what we're really talking about

62:41

here.

62:41

>> Freeberg, CEO of Uber and Tesla believe

62:45

the opposite. They think these driver

62:47

jobs are gone pretty quickly. Uh the

62:49

data showing there's a bit of a serious

62:50

problem right now with young people

62:53

getting jobs specifically because of AI.

62:56

And obviously GDP is not wages. The

62:59

people we're talking about who are

63:00

affected by these job losses don't own

63:02

equities. The top 50 55% of the country

63:05

own equities. So what do you think about

63:07

this narrative? Do you believe it's a

63:09

false narrative, a true narrative

63:10

somewhere in between? Okay, here here's

63:12

how I would think about what may happen

63:16

rather than think about someone quote

63:18

losing their job, which you know is a

63:21

term you keep using and others keep

63:22

using and

63:24

>> I think would be yeah

63:25

>> I don't what whatever it is it you're

63:27

you're acting like they're passively in

63:29

a victim state. We have the lowest

63:31

unemployment in history and there's an

63:33

extraordinary demand for new capacity of

63:36

work by humans to do stuff in the United

63:39

States right now because of the

63:40

extraordinary manufacturing buildout

63:42

that is underway driven largely by AI

63:46

and soontobe robotics and several other

63:48

industries. We just talked about rare

63:49

earths mining and processing. There are

63:51

many industries that are taking off in

63:53

this country that have not existed and

63:55

there is a demand for labor. And when

63:56

there's a demand for labor and there's a

63:58

shortage of people to do the work, the

64:00

employer typically says, "Let's go

64:02

recruit. Let's go spend. Let's go

64:04

train." And when you have an innovation

64:05

cycle like is underway right now, the

64:08

hiring for the new jobs happens before

64:11

the loss of the old jobs happens. So you

64:14

have to have someone that builds all the

64:15

Model T's before people stop becoming

64:18

horse buggy drivers. So who's going to

64:21

do all the Model T building? They're

64:23

going to get paid. they're going to get

64:24

offered money to go do those jobs. So

64:27

what typically happens in these cycles

64:29

is that there's a recruitment exercise,

64:31

a recruiting cycle that happens upfront.

64:34

And so rather than say all these drivers

64:36

are going to lose their jobs, another

64:38

way to frame it is that all of these

64:40

drivers are going to be offered new,

64:43

higher paying jobs before there's lower

64:45

demand for driving. And they're going to

64:47

say, I can go make twice as much money

64:49

per hour by going over to take this new

64:52

job. And then they're going to say, "I'd

64:54

rather do that than drive. I'm getting

64:55

paid twice as much and I get to work on

64:57

more interesting stuff. I like that."

64:59

That's how this is likely going to go.

65:01

That is the more positive view on how

65:04

what you're calling job displacement

65:05

actually plays out in the US economy in

65:07

the decade ahead. A recruiting cycle

65:10

precedes the elimination of old jobs

65:12

that aren't needed anymore. That

65:14

recruiting cycle is a net positive for

65:16

people. They say, "Wow, that is an

65:18

amazing improvement in my income, an

65:20

improvement in my lifestyle. I get to

65:22

work on more interesting things. My life

65:24

is better because of it. And then years

65:26

later, the demand for those old jobs

65:28

starts to die down, but at that point,

65:30

everyone's been recruited away anyway.

65:31

>> So, Freeberg, you mentioned the the

65:33

Model T putting all the horse and

65:34

buggies out of business. And if we had

65:36

today's media environment around back in

65:38

the days of Henry Ford, that's exactly

65:40

what they would have been bemoning is

65:42

that all the horse and buggy guys are

65:43

going to be put out of business. And

65:45

part of the reason why that would have

65:47

been a very bad take is because it's

65:51

easy to see the people who are being

65:54

displaced in the short term like maybe

65:55

the Uber drivers or something like that.

65:57

But it's hard to see all the new

65:59

industries and all the new businesses

66:01

and all the new jobs that don't even

66:03

exist yet that are going to be created.

66:04

So for example, what were the downstream

66:06

effects of the Model T? Well, first of

66:08

all, it created this new kind of

66:11

industrial assembly line which applied

66:13

not just to cars but to all sorts of

66:15

goods. I mean Henry Ford pioneered that

66:17

and that had huge ramifications for the

66:19

US becoming the industrial power that it

66:20

ultimately became which led it to

66:22

winning World War II. Then just in terms

66:24

of the car, you had things like the

66:26

build out of the interstate highway

66:28

system,

66:28

>> the tire industry.

66:30

>> Yeah. that just about the highways that

66:32

led to

66:34

>> to Holiday Inn and hotels and motel and

66:37

drive-through windows and McDonald's and

66:39

car culture

66:41

>> and

66:42

>> and the taxi cab industry itself

66:44

emerged.

66:44

>> George Lucas got his start as a director

66:46

by making the film American Graffiti

66:48

which was all about car culture in the

66:50

1950s. So that led to Star Wars. I mean,

66:53

there's all these butterfly effects of

66:56

the Model T being invented, which are

66:58

absolutely massive. And it would have

67:00

been impossible to foresee all of that

67:01

stuff a hundred years ago. When you have

67:04

these new industrial revolutions or

67:06

these new technological revolutions,

67:08

it's going to increase the capacity of

67:09

humans to design all sorts of new

67:11

products, create all sorts of new

67:13

businesses. And what we've seen is that

67:15

this lump of labor fallacy that you have

67:17

all these humans that we don't know what

67:19

to do with so you have to just keep them

67:20

busy has always proven to be a fallacy

67:22

throughout human history.

67:23

>> And by the way, those buggy drivers did

67:25

not ch did not lose their jobs. They

67:27

chose to go into one of these new

67:29

industries where they were offered more

67:30

money.

67:31

>> I don't think this is the issue at all.

67:34

I would say that when you look at

67:36

Arizona, Indiana, and Wisconsin, what

67:39

you are looking at are people whose jobs

67:41

are not at risk today, tomorrow or the

67:43

next day because of AI. I don't think

67:45

that's what it is. And I think that they

67:47

probably on the margins benefit. The

67:50

question is more how are they getting

67:52

information and how are they processing

67:54

their point of view so that they show up

67:56

to these local municipality meetings and

67:59

essentially cancel progress. That is a

68:01

very important thing to diagnose because

68:03

it is not isolated. So I'm trying to ask

68:07

the question which I think is a more

68:08

practical and important one is what do

68:11

we do to make sure that the narrative

68:13

and the facts are clear because right

68:15

now you're seeing very different and

68:18

diverse pockets of people in largely

68:20

purple and then some red states voting

68:24

against the exact things we need to

68:26

bring this abundance forward. And I

68:28

think we need to figure out why and how

68:30

that's happening and have a version that

68:34

counteracts that. Otherwise, this will

68:36

become more slowed. It will not go

68:39

faster.

68:41

>> Well, you bring up a good point there.

68:42

There are I would say there's legitimate

68:44

and illegitimate reasons to be skeptical

68:46

of AI. So, the one that you bring up,

68:48

Chimoth, that I think is very legitimate

68:50

is that we are going to have to stand up

68:51

a lot more electricity power generation.

68:55

Otherwise, it could drive residential

68:56

rates up and that will create a backlash

68:58

to AI and the buildout of data centers

69:00

and we don't want that. So, that's a

69:02

legitimate issue that has to be solved.

69:04

However, there are what I would call

69:06

illegitimate reasons to fear AI. And

69:08

that's got everything to do with the

69:10

media environment. And there spreading

69:11

of all these unproven narratives in many

69:14

cases based on contrived studies where

69:17

they're saying that, you know, there's

69:19

going to be 50% job loss in the next few

69:21

years or you have all the Terminator

69:24

type scenarios where AI is going to grow

69:26

beyond our control. all of these doomer

69:28

narratives that are being created that

69:30

are scaring people and creating a

69:32

knee-jerk reaction at the state level,

69:34

which we talked about last week, where

69:35

there's now a thousand bills going

69:37

through state legislatores mostly

69:38

because the legislators feel a need to

69:41

quote unquote do something, not because

69:43

they know what they want to do. So,

69:44

there's a lot of unnecessary fear out

69:47

there that's been created by the media

69:49

and then by organizations and companies

69:51

who have a regulatory capture agenda

69:53

around this.

69:54

>> I hear you. What what I'm saying is we

69:55

need to figure out how to fix this

69:57

because you can't have Google,

69:59

Microsoft, and Amazon cancel essential

70:02

projects that advance this entire sector

70:04

and economy forward. We're not talking

70:06

about some random fly by night business

70:08

here. We're talking about three of the

70:10

five pinnacle horsemen of the AI race

70:13

that we are fielding on the field.

70:15

>> Well, you we're looking for suggestions.

70:17

Do you have any off the top of your

70:19

head? Do you think it's in education? Do

70:21

you think it's in explaining the value

70:22

of AI and how those people in those

70:25

states would benefit from it or do you

70:26

think it's just simple economics lower

70:28

their electricity bill?

70:30

>> I think there are two things. The people

70:31

in Indiana and Wisconsin said again

70:34

electricity prices, water and noise. I

70:38

think that we can fix those problems and

70:40

I think we we meaning our industry and

70:42

specifically the hyperscalers

70:45

need to start using these gobs of free

70:47

cash that today public markets don't

70:49

value anyways. It's not like Google,

70:51

Amazon, Facebook gets credit for their

70:53

cash. In fact, Facebook's stock price

70:55

went up when they basically burned

70:57

through all their cash. You want to see

71:00

them invest. And so, if you really want

71:02

to take the capex around AI and make it

71:04

a true super cycle, there's another

71:07

avenue of where capital can be deployed.

71:09

I would encourage the CEOs of these

71:11

companies to wake up and get their act

71:12

together and do it. That's number one.

71:14

And then the second thing is I think

71:16

that we need to have better spokesman

71:18

for our industry. So meaning every time

71:21

you see somebody talking about all these

71:24

naval gazing technologies and then can't

71:26

translate it into simple English into

71:29

product value. For example, this week on

71:32

the one side we have anthropic AI

71:35

doomerism that Saxs had to confront, but

71:37

then on the other side there were all of

71:39

these people that got freaked out

71:40

because open AI wants to push towards

71:43

erotica and all they could think of was

71:45

the impact to their children.

71:47

Again, this is not necessarily true or

71:49

not true, but the point is we need to

71:52

have better, more eloquent,

71:55

reasonable spokesman who can articulate

71:58

a vision that everybody can buy into.

72:00

And I said this on X, what is Arabella

72:03

and Soros going to get behind now to

72:04

find a boogeyman? You don't have Israel.

72:07

You're not going to have, you know,

72:08

Ukraine soon. So, what are you going to

72:10

find as a boogeyman? And it's it's

72:12

unfortunately sitting right in our

72:13

backyard.

72:14

>> Yeah. I'm I'm not sure Altman is the

72:16

greatest spokesperson for the industry.

72:19

Just to to clean up a little bit here,

72:21

uh Freeberg, my position isn't

72:22

doomerism. I just think displacement is

72:25

going to be more significant than we

72:27

think. And the evidence I have of that

72:30

is just watching what's happening with

72:31

young people applying for jobs and the

72:33

increase in unemployment there. And then

72:35

looking at the people who deploy AI at

72:37

the highest velocity which are obviously

72:40

tech companies and if you look at

72:42

Alphabet

72:43

you know they had peak Googlers in 2022

72:47

190,000 and they've had massive earnings

72:50

and profits increase and have 187,000

72:53

people now in other words less. And then

72:55

you do the same for Meta Uber and

72:57

Amazon. You know, Meta peaked at 86,000

73:00

employees now at 75, Uber at 33, now at

73:05

31. And Amazon, where you'd think you'd

73:07

have a lot of growth here, uh they're at

73:10

they peaked at 1.6 and now they're down

73:12

at 1.55. So, these companies are not

73:15

hiring. the gains they're talking about

73:18

publicly in the deployment of AI are

73:21

significant and they all have aggressive

73:25

plans to use automation specifically in

73:28

robots and self-driving and obviously

73:31

knowledge work to reduce headcount

73:34

increase profits and I think that's

73:35

going to become the narrative that's

73:36

going to be very challenging for our

73:38

industry because if you look at our own

73:39

companies they're saying wait a second

73:41

your companies aren't growing and my kid

73:43

got a computer science degree if you

73:44

look at the unemployment level of people

73:46

graduating with computer science degrees

73:48

who are developers. It's increasing.

73:50

Unemployment amongst developers is

73:53

increasing and that's just really

73:56

notable. So, I wouldn't say I'm a

73:58

dumerrist, but I am concerned that the

74:00

new jobs might not show up as quickly as

74:02

the old jobs or the static team size uh

74:06

trend continues because we've had static

74:08

team sizes for years now. Okay, this has

74:10

been another amazing episode of the

74:12

number one podcast in the world, the

74:14

All-In podcast. Tell your friends, write

74:17

a review

74:19

about how much you love the All-In

74:21

podcast.

74:23

We'll see you. This is episode 247.

74:26

Thank you to our Sultan of Science. We

74:27

missed you last week. To our Zar, have a

74:32

great time this weekend at Sluck Con. Be

74:35

safe at Sluck Con.

74:37

>> Slutcon's already happened to be clear.

74:39

I'm not going.

74:39

>> We missed it. Where's the afterparty?

74:41

There's got to be a postplay party uh

74:44

this weekend. Who knows? It's got to be

74:45

an afterparty. And of course, puts the

74:48

dick and dictator. Your chairman.

74:52

>> He puts the dick in dictator. You play

74:54

the and slutcon.

74:56

>> I sure you put this bizarre and bizarre

75:00

and he puts

75:01

>> Oh my god.

75:02

>> the anus in your anus

75:04

>> and calccanous.

75:05

>> And he puts the anus in.

75:07

>> I don't think you want to use that word.

75:08

I don't think that's one you want to

75:09

use.

75:10

>> Anus. All right. And Moose is doing

75:11

great. Thanks.

75:13

>> I love all you guys. Thank

75:16

>> we'll let your winners ride.

75:18

>> Rainman David.

75:23

>> And it said,

75:23

>> "We open sourced it to the fans and

75:25

they've just gone crazy with it."

75:27

>> Love you. Queen of Kino.

75:30

[Music]

75:36

>> Besties are gone.

75:38

>> That is my dog taking notice your

75:40

driveways.

75:43

>> Oh man, my appetiter will meet.

75:46

>> We should all just get a room and just

75:47

have one big huge orgy cuz they're all

75:49

just useless. It's like this like sexual

75:51

tension that we just need to release

75:52

somehow.

75:54

>> Wet your feet. Wet your feet. her feet.

75:59

>> We need to get murky's I'm going all in.

76:04

[Music]

76:09

I'm going all in.

Interactive Summary

The podcast episode covers a range of topics, including the speakers' experiences at the Dreamforce conference in San Francisco, the controversy surrounding media coverage of David Sacks, and an offbeat event called 'SlutCon'. The discussion then pivots to the state of San Francisco, debating the effectiveness of the local government, the drug crisis, and the potential involvement of the National Guard. Furthermore, the conversation delves into US-China trade relations, specifically focusing on critical rare earth minerals, dependency risks, and the strategic economic competition between the two nations. Finally, the group discusses the implications of AI, the challenges of data center construction in local communities, and the broader economic impacts of AI on job markets and productivity.

Suggested questions

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