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Trump-Xi Summit, Benioff: "Not My First SaaSpocalypse," OpenAI vs Apple, Multi-Sensory AI, El Niño

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Trump-Xi Summit, Benioff: "Not My First SaaSpocalypse," OpenAI vs Apple, Multi-Sensory AI, El Niño

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2179 segments

0:00

All right, everybody. Welcome back to

0:01

the number one podcast in the world, the

0:03

allin podcast. Episode 273.

0:06

It's a huge week. Saxs is our show. We

0:09

got to get Mark Beni off, CEO of

0:11

Salesforce.

0:11

>> I'm the only one left here. You're the

0:13

only one left. That's why that's how I

0:14

made it on.

0:15

>> No software CEOs, right, to China.

0:17

>> There's no software uh CEOs in China.

0:20

>> Interesting. But did you get the invite?

0:22

What's your what's your status with this

0:24

administration because you were

0:25

obviously very famous for, you know,

0:27

being a Democrat on the left? Um, and

0:30

>> I'm not a Democrat on the left. I never

0:32

have been.

0:33

>> What are you talking about? You donated

0:36

to all these folks and now you're kind

0:38

of in Trump's camp. What is it?

0:40

>> Listen, um, uh, the number one thing is,

0:43

hey, I'm here to support the country.

0:45

>> That's what I do.

0:46

>> Okay.

0:46

>> Yeah.

0:47

>> So, you're right in the middle. You have

0:49

uh an allegiance to America.

0:51

>> I hope so.

0:52

>> Yeah.

0:52

>> I'm not a Democrat or Republican.

0:54

>> You're an independent.

0:55

>> I'm an American.

0:56

>> Okay. I like it. Ben off got the invite

0:58

to the two hottest tickets. He got the

1:00

invite to Windsor Castle in Tales and

1:02

then he got the invite uh when Prince

1:04

Charles came here too. I saw he was in

1:06

Tales then too.

1:07

>> And also we were at that Saudi dinner

1:08

too. Weren't you there?

1:10

>> I did not go to that one. All right.

1:12

Well, we have a big docket here. The

1:14

Trumpi summit has begun. That is the

1:18

number one story right now after a

1:19

two-month delay because of the war in

1:21

Iran. This is the first visit to China

1:25

since 2017.

1:27

Seventh face-to-face meeting for Trump

1:29

and President Xi. There are 12 hours, 15

1:32

hours ahead of us. Today, Thursday was

1:35

officially day one. Here's what

1:37

happened. China agreed that the straight

1:40

of Hormuz should remain open with no

1:44

military commitment and that Iran should

1:46

not have a nuclear weapon. So, we're in

1:48

sync on that. On Taiwan, this is a

1:51

little spicy. She warned that quote if

1:54

handled poorly the two countries will

1:55

collide or even clash putting the entire

1:58

USChina relationship in an extremely

2:00

dangerous situation. Poly market says

2:03

Taiwan is safe for 2026 only 6% chance

2:07

China invades this year on 23 million in

2:11

volume which is a lot of volume 17%

2:13

chance roughly triple

2:16

that something happens by the end of

2:18

2027. There's been a lot of debate. Uh

2:21

some people say it will happen after

2:23

Trump is out of office. Some people

2:25

think it's going to happen while he's in

2:27

office on trade. She committed to buy

2:30

more soybeans, US oil,

2:33

LNG, and 200 Boeing jets. She said the

2:38

talks laid out a vision for

2:39

constructive, strategic, and stable

2:41

ties. Uh Trump was effusive in his

2:44

praise uh for his friendship, giving the

2:47

disclaimer that people don't like it

2:48

when he praises she. Let's stop here and

2:52

have a bit of a discussion. Freedberg,

2:55

you uh have been a bit obsessed with

2:58

this relationship and the bipolar

3:02

nature of it. What are your thoughts

3:04

here? And what is the goal for Trump?

3:06

What is winning for Trump coming out of

3:07

this? What is winning for she?

3:11

I mean, she made comments in his uh

3:14

opening remarks that it would be ideal

3:19

if the United States and China could

3:21

avoid the Thusidities trap, which as

3:24

you'll recall, we talked about with

3:26

Graeme Allison and we've talked about

3:28

several times over the last few years

3:30

that as a a rising power meets a kind of

3:33

declining power, there's always some

3:36

moment where you end up in this kind of

3:38

state of conflict. And the question is,

3:39

can the US and China avoid conflict and

3:42

find a path to cooperation, which has

3:44

happened a few times in history when we

3:46

found ourselves in this moment, but

3:47

doesn't often happen. And I think the

3:50

way to kind of think about the

3:51

opportunity is if you're in a resource

3:53

expansive world where you are increasing

3:57

productivity and increasing production

3:58

globally at an accelerating pace,

4:01

perhaps there's less of a reason to have

4:03

conflict. Perhaps there's a way that uh

4:06

both societies, both countries can

4:09

increase the quality of life for their

4:11

people without taking it away from the

4:14

other side. And in a world where you're

4:16

more resource constrained or resource

4:18

static, that becomes less possible. You

4:21

have to fight and grab land and grab

4:23

territory and grab resources from the

4:25

other side.

4:26

And it seems like in this moment when we

4:28

are seeing these extraordinary

4:30

technology shifts unlocked by AI and

4:32

automation and biotech and all of these

4:36

kind of moments of which could be true

4:39

abundance ahead of us. It seems like the

4:41

perfect moment to say hey maybe the

4:43

world can be more multipolar. It doesn't

4:45

need to be uniolar. It doesn't need to

4:46

be bipolar but everyone can participate

4:49

in the expansion of the pie. And I think

4:52

that that's kind of the idealistic way

4:53

to look at the opportunity in front of

4:55

the administration and Chinese

4:57

leadership right now. Is there a way to

4:59

kind of look at the next 30 years and

5:02

ask the question, how do we all share

5:05

proportionally in growing the pie and

5:07

not find ourselves in a moment of

5:08

conflict where we assume the pie is

5:10

static? That's I think hopefully the

5:11

message that comes out of this from an

5:13

administration political perspective. It

5:14

just seems like this is going to be a

5:16

major coup for the president if he can

5:17

walk away with a series of trade deals

5:20

with China that increase job security,

5:24

increase prosperity, increase income

5:25

levels, increase investment in America

5:28

and American jobs. It would be a huge

5:30

win. And I think that's the tactical

5:32

stuff that people will be truly looking

5:34

for. And I think the big strategic

5:35

question which I care most about which

5:37

is avoiding conflict. Is there a way we

5:39

can chart an economic and cooperative

5:41

path that doesn't involve eating each

5:43

other and involves sharing in a bigger

5:45

pie?

5:45

>> Chimoth, why is Trump bringing all of

5:48

these CEOs with him and what does

5:50

success look like uh coming out of this

5:53

meeting?

5:53

>> I think that you find a resolution and a

5:56

path forward with China through economic

5:58

cooperation. It's the largest consumer

6:00

economy in the world.

6:03

It's still largely closed off. And so I

6:06

think what this is was about bringing

6:08

some amount of financial firepower with

6:11

them so that they could start to

6:13

penetrate that market. Planes, cars,

6:16

chips, you know, very much hard

6:17

equipment type stuff. I've said this

6:20

before, but I think the Chinese are very

6:22

much a top- down confusion societal

6:24

philosophy,

6:26

whereas Americans are much more bottoms

6:28

up kind of an individualist

6:30

construction.

6:31

The fact that we're so different

6:33

actually gives us a lot of room to find

6:34

cooperation and not find conflict. And I

6:38

think at the center of that is economic

6:40

cooperation. I had a friend call me this

6:42

morning, very prominent Democrat. And

6:45

you know, he was the one that called out

6:47

the media, which I was surprised by, and

6:49

he said, you know, the media gets it all

6:50

wrong because they're talking about why

6:52

is he bringing these CEOs? And instead

6:54

the reality is that the simplest and

6:57

shest path to a no conflict dant with

7:00

China is economic entanglement and it

7:03

has to be birectional because really for

7:05

so many years it's been one way where

7:06

they're sending us the cheap goods that

7:09

they've wanted.

7:11

So I think strategically it's good and I

7:13

think you know I'll just take a slightly

7:14

different take on what Freick said. I

7:16

think behind closed doors they're

7:17

probably just figuring out how to divide

7:18

the pie.

7:20

>> Uh unpack that for a second. divide

7:22

which pie the the globe the economy the

7:25

the western hemisphere versus

7:27

>> look China China still needs a lot of

7:29

energy they also need a lot of critical

7:32

technologies that America provides and

7:34

so I think that there's a trade there

7:35

and the quit proquo is there are certain

7:38

regions of the world where we want them

7:39

to deescalate their participation in

7:43

central South America being probably the

7:45

most important and then the second is

7:46

probably in the Middle East and then

7:47

maybe the third is just to find some

7:49

reasonable view of the Asia pack region

7:51

together and I think there's a trade

7:53

there to be done and in that you kind of

7:55

start to carve up the world into a

7:57

pretty easily identifiable bipolar

8:00

construction.

8:01

They also uh Mark need customers uh to

8:05

buy their goods and we've had a bit of a

8:09

uh mixed signals there. Tariffs

8:11

obviously last year sticking it to China

8:13

in a pretty hard way. the decoupling

8:15

after COVID. Hey, we need to be

8:18

independent energy, PPE, drugs, chips

8:22

from China. Now, we're kind of saying,

8:25

hey, let's come to the table and build

8:28

connective tissue. So, sort that out for

8:30

us on a business level. Should the two

8:33

countries be deeply entwined? And then

8:35

how do we manage having too much

8:37

dependency on China?

8:40

Well, you heard it today from President

8:42

Xi when he said he wants a wider door.

8:45

And that means that he wants the door of

8:48

business to open even wider between the

8:51

two countries. We have our absolute best

8:54

salespeople there. Not just our

8:56

president, who has to be one of the best

8:58

salespeople I've ever met, but also

9:00

we've got Elon, we've got Jensen selling

9:03

chips,

9:04

>> Kelly Ortberg selling planes,

9:06

>> Kelly selling planes. He's already sold

9:08

200. He wants to sell financial

9:09

services.

9:10

>> Brian is selling soybeans. Brian Sykes,

9:13

the CEO of Cargle. You know, Cargle is

9:15

the world's largest private company

9:17

based in Minneapolis and he is going to

9:20

come away selling a lot of soybeans. So,

9:22

we have a you go through the list of the

9:24

CEOs. Each one is our best salesperson

9:27

in this category and they're going to

9:29

come back with orders and it's going to

9:31

be amazing. And by the way, I think you

9:33

said it very well. you know, this idea

9:35

of business is this kind of greatest

9:37

platform for change. Um, they are

9:40

working together like never before.

9:42

Don't forget, this isn't Trump's and

9:44

she's first meeting. These guys really

9:46

like each other. They are very connected

9:49

together. You can see they're smiling

9:50

with each other. They're very they have

9:52

a sales orientation. So, I expect a lot

9:55

of order books to come back.

9:56

>> I have a question for you. Are you

9:58

allowed to sell software in China? We uh

10:01

well with the right the Chinese have a

10:03

lot of data residency laws. So uh you

10:06

know we we do it is we don't have any

10:08

offices or employees in China. We never

10:10

have. The only time we end up with any

10:12

residue in China is when we buy a

10:15

company and they have a presence over

10:17

there and then we have to devest from

10:19

it. We have an exclusive partnership

10:21

with Alibaba. Everything just goes

10:23

through them and we we don't do anything

10:26

in China.

10:26

>> Is it significant growing? Is it what

10:29

percentage of your revenue is it?

10:30

>> Yeah, it's it's great. You know, we have

10:32

it's a great partnership. Key customers

10:34

of Salesforce like Louis Vuitton, you

10:36

know, or Laura Piana, I know Chimoth

10:38

loves Laura Piana.

10:40

>> Yeah.

10:40

>> And you know, Laura Piana sells a lot of

10:42

sweaters in China and then, you know, in

10:46

all other stores all over the world,

10:47

they use Salesforce, but in China, it's

10:51

Salesforce on Alibaba.

10:52

>> It's still your code, but then it

10:54

resides in their servers for data

10:56

residency stuff. their data residency,

10:59

their their partnership. It's a totally

11:02

unique relationship. It's the only place

11:03

in the world that we do such a thing.

11:05

>> Yeah. And it has to be all the data has

11:07

to be kept in China. All the data has to

11:09

be accessible by the CCP.

11:12

>> That's why it's so extraordinary. By the

11:13

way, what Elon has, you know, Elon has

11:16

Tesla in China, no partnership. He's the

11:19

only one. He has a phenomenal

11:21

relationship with Shei. When you look at

11:24

she and um Elon together, notice how

11:27

differential and respectful they are of

11:29

each other. And here is these AI cars

11:33

with all these cameras, Americanmade,

11:36

you know, um Chinese factories driving

11:39

around China. That is pretty incredible.

11:42

>> How do you think he pulled that off? Is

11:45

that just a one-off exception?

11:46

>> I think Elon's the greatest salesman in

11:48

the world. That's how

11:50

>> I mean the cynical take on a chim would

11:53

be they wanted him there and they wanted

11:54

to study the company and the innovation

11:56

and they have now become the biggest

11:58

competitor uh with their EVs and so it

12:01

is a pretty coopetition I guess it would

12:06

be the cynical way to do

12:07

>> I want one of those new BYD golf you

12:10

know uh uh what do you call those with

12:13

the doors that flip flip up

12:14

>> Gwing

12:15

>> Gwing I want one of those Gwing BYDs

12:18

they have some cool cars have you seen

12:19

those.

12:20

>> They're cool, but they're not safe.

12:21

>> They're incredible.

12:22

>> They're talking in this in this they

12:24

they said they're talking about bringing

12:25

some of those cars to the US. That would

12:28

be incredible.

12:29

>> Uh would hollow out the entire

12:31

automotive industry here if we had

12:32

$20,000, $30,000 cars from China. It

12:36

would be the end of the US automotive

12:37

industry overnight. And uh Tim Cook's

12:40

there. He has to store all his data

12:42

there. That's been a pretty

12:44

controversial issue for him because

12:47

Freedberg, if anybody has private

12:50

information or is a dissident, Tim Cook

12:52

has to give that data over to the

12:55

Chinese Communist Party. How do you

12:58

think this plays in America visav the

13:00

midterms? Freedberg, Americans feel

13:03

ignored, inflation over 3% and they look

13:08

at the Iran war as a betrayal by

13:11

President Trump and they look at China

13:14

as not material to their well-being. So

13:19

when you look at Trump being on a

13:21

six-month timeline for the midterms and

13:24

he's only got two more years in office

13:25

after that, you got she who's working

13:28

off of a hundredyear playbook. How does

13:30

that dynamic play out with Trump and the

13:33

midterms and his core constituency,

13:36

MAGA, which is now evolving into America

13:39

first, America only? And this kind of is

13:41

is rubbing that group of people the

13:43

wrong way.

13:45

>> I think the second and third order

13:47

effects of anything that comes out of

13:48

China is what's going to be most

13:49

consequential to the average voter,

13:51

which is job security and income

13:53

security and income growth. And then

13:55

cost of living impact. The cost of

13:57

living impact would be if there can be

14:00

some deflationary effect from a trade

14:01

deal that makes access to goods lower

14:04

price for Americans. And then anything

14:06

that America is exporting, there's

14:08

increased demand. Like there's a

14:09

follow-on effect to the soybean export

14:12

market.

14:14

There's a follow-on effect obviously to

14:15

the oil export market. There's a

14:18

follow-on effect to for example

14:22

technology and software being exported.

14:24

So that increases economic productivity

14:26

in the US and increases job security

14:29

income. And then the other side of the

14:30

trade deal is can we get stuff that

14:32

Americans really care about and make it

14:34

cheaper. Can people now buy stuff at the

14:36

store that drops in price by 30 40%

14:38

where we've kind of tariffed and reduce

14:40

trade that increases the price of

14:42

things. So if those deals kind of get

14:44

worked out, people will see things get

14:45

cheaper at the store and they'll feel

14:47

good about kind of their income

14:49

security. And I think that could be

14:50

positive. I think that's what's

14:52

ultimately going to make people make the

14:54

blue red decision when they go to the

14:55

polls in November.

14:56

>> That's the schizophrenic nature of this

14:58

chimoth. We have Americans who very much

15:02

want cheap goods from China and then we

15:04

have last year all these tariffs being

15:06

put on and we have this great

15:07

decoupling. So, how do you handicap the

15:11

midterms, Trump's timeline and she's

15:14

timeline and what their goals are and

15:17

then I guess we'll get to Taiwan after

15:19

that.

15:20

>> I don't know. No, it's I think it's a

15:21

little bit above my pay grade. But what

15:22

I will say is that the midterms I think

15:25

are probably going to swing more based

15:27

on these recent jerrymandering rulings

15:29

from the Supreme Court and what happened

15:31

in the Virginia Supreme Court and what's

15:34

going to happen in the state

15:35

legislatures of these red states and

15:38

some of these blue states more than

15:41

what's going to come out of this summit

15:44

with with President Xi. So let me just

15:46

put that over here. And I think that

15:48

money is getting organized. There was an

15:50

article in the New York Times this week

15:52

which really surprised me, but the

15:54

largest donor in the in this election

15:56

cycle is Andre and Horowitz.

15:58

>> Yeah. What is that about? Yeah.

16:00

>> I think it's because they're they're

16:01

trying to establish themselves as part

16:03

of the financial firmament of America,

16:05

which I think strategically as a

16:07

business makes a lot of sense. Like

16:08

they're in the AUM business, right? So

16:11

they can't stop at 100 billion of AUM.

16:13

They're marching towards a trillion.

16:16

they're going to be the next Blackstone,

16:17

which I think is an incredible feat and

16:21

they're building a juggernaut of a

16:22

business. But I think they also realize

16:25

that politics is now a permanent part of

16:27

that if they're going to be investing in

16:30

higher quantum more geopolitically

16:33

influenced parts of the capital cycle

16:34

and parts of the economy. So I think the

16:37

midterms are largely that the money

16:39

that's going to be raised plus the

16:42

gerrymandering that will get done and

16:44

undone over the next few months. Again I

16:46

think I think the the Chinese and the

16:48

and the Americans have a very strong

16:50

incentive to kind of divide up the

16:52

world. Like I think the future at this

16:54

point you have these critical resource

16:56

inputs. China has a strangle hold. You

16:58

have energy and

17:01

intelligence AI where America has a

17:05

strangle hold on one and an effective

17:07

strangle hold on the other which is

17:08

energy and I think there's a trade there

17:11

to be done and as long as you can

17:13

negotiate what a reasonable give and

17:16

take is I think they're just going to

17:18

find common ground like does China

17:20

really need to be in Chile and Venezuela

17:23

and Panama? Probably not. Does America

17:25

have to have an incredibly strong point

17:27

of view about the straight of Malaa?

17:30

Probably not. And so there's probably a

17:32

trade to be done so that we can get

17:34

their rare earths, they can get some

17:36

more oil, everybody can be happy, and we

17:38

can all find abundance.

17:40

>> Yeah. The the key issue here is China is

17:42

and most people are, you know,

17:44

chinophobic, but China has serious

17:47

systematic issues with population, with

17:50

their real estate, with their GDP. All

17:52

of this is in decline.

17:54

And I think she most of all is concerned

17:58

about another Tianaan Square if he

18:00

doesn't get more people working. They've

18:02

had the largest growth of any middle

18:04

class

18:06

you know in history. They have the

18:07

largest middle class in the world. I

18:08

think uh you were sort of referencing

18:10

that Mark with luxury goods and luxury

18:12

goods providers are going there but it's

18:15

tenuous uh

18:16

>> and that's the number one by the way

18:18

that is the number one point of focus of

18:20

President Xi. President Xi's focus has

18:24

been getting 500 million people from

18:26

poverty into the middle class.

18:28

>> It's not exactly how we think about the

18:30

world in the United States. That's the

18:33

main focus of the political leader and

18:34

and he's achieved that. That that has

18:37

been an incredible accomplishment

18:38

>> and and but it's at risk right now

18:40

because their GDP is falling. They need

18:42

their factories to operate. They're

18:44

being undercut by other regions. And

18:46

then of course Taiwan is what they want

18:49

uh most of all and supremacy in you know

18:52

their part of the world.

18:53

>> I'm not convinced of that actually.

18:55

>> I think what they want Oh, I mean I

18:57

think we just kind of said it and to

18:59

summarize they they want to have you

19:02

know economic success. They want to

19:04

continue to grow their middle class.

19:06

They want to continue to have a healthy

19:07

economy. They want more trade. I thought

19:10

it was interesting that they're talking

19:12

about Trump is talking about not only

19:13

having the board of peace now he wants a

19:15

board of trade. That was a discussion

19:17

we've never heard before today. Then uh

19:20

we have she saying I want the wider

19:22

door. Then we have all these folks there

19:25

are selling their products. Two people

19:26

we didn't mention the co Visa and the

19:29

CEO of Mastercard are on the trip. Now

19:31

why is that? Because if you look at you

19:34

know commerce in China it is dominated

19:37

by companies like Alibaba and and these

19:39

organization who use these super apps.

19:41

It's not really all the way open for a

19:44

Visa and a Mastercard. That would be

19:46

incredible for those executives. So in

19:48

the same way that we want to sell

19:50

airplanes, we want to sell chips,

19:52

Nvidia, the Qualcomm coristiano is also

19:54

there, we want to sell soybeans, we want

19:57

to sell payment services, we want to

19:58

sell everything. The more economic

20:01

collaboration and cooperation you can

20:02

get between the two countries, the more

20:04

peace you're going to have. I think 100%

20:08

I agree.

20:09

>> Three, three hard questions, Mark. Uh,

20:10

should we be selling them the latest

20:12

chips? Yes or no? In your mind,

20:16

>> I think it's irrelevant at this point. I

20:17

think that the Chinese models are as

20:19

competitive as these US models and

20:22

they've learned to make these models

20:23

without having the highest end chips. I

20:26

think the highest end chips is kind of

20:27

more of a ego gratification for us. We

20:30

have Blackwell, we have this, we have

20:31

that. But when you look at their models,

20:34

their models are excellent. They fast

20:36

follow us. You know, the best models we

20:38

had ago, they have now.

20:40

>> Should they should we just sell it to

20:42

them since they're figuring it out

20:43

anyway, Mark?

20:45

>> We probably should just sell whatever we

20:46

can at this point. Got it.

20:48

>> And uh I think that as I said, I think

20:51

the more economic cooperation and

20:53

collaboration is better. And if you want

20:54

peace, I think that this

20:57

>> I think Taiwan, it's kind of a circle

21:00

back to that. Yeah.

21:01

>> Freeberg, uh, your take on chips. Should

21:04

we sell them latest chips? And then

21:05

Chimat, I want to get the answer to that

21:07

question from each of you.

21:08

>> I think it's inevitable that they get

21:09

there. I, by the way, I do think this is

21:11

one of the key aspects of this deal.

21:13

I've said this before, but maybe Taiwan

21:16

becomes less relevant to the US and to

21:18

China as both China and the US um,

21:20

mainland FAB. So, as we build out our

21:23

own

21:24

>> manufacturing capacity here in the US,

21:26

and I know we've struggled and there are

21:28

fits and starts and issues with it and

21:29

whatnot, but the the TSMC facility in

21:32

Arizona is running, they're printing,

21:35

and if it works and they figure out how

21:37

to scale it. There'll be other

21:38

facilities in the US and then China's

21:40

mainlanding with Huawei standing up a

21:42

lot of facilities. They've got a multi-

21:44

I think I talked about this on one of

21:45

the shows, a multi-deion

21:47

government investment in ensuring

21:49

competitiveness not just with fabs but

21:52

also with semiconductor manufacturing

21:54

equipment so that they don't get cut off

21:56

on the supply chain with companies like

21:57

ASML blocking sales into mainland. So as

22:01

they build out their own semiconductor

22:03

capital equipment systems and their own

22:06

fabs, does Taiwan really matter? Is

22:08

there really that much of a security

22:10

risk to the United States and to China

22:12

in that sense? And perhaps what

22:13

everyone's focused on, which is this

22:15

pivot point around Taiwan. Maybe it's

22:17

not that the US is selling Taiwan down

22:19

the river, but it's just that no one

22:21

gives a anymore. So, you know,

22:23

there may be this kind of cultural

22:24

moment for China where they want to at

22:26

some point say, "Hey, by 2040," which I

22:28

think is what I've heard, they want to

22:29

be able to kind of, you know, bring

22:31

Taiwan fully into the sphere. maybe the

22:34

US shouldn't care that much at that

22:36

point from a economic and security

22:38

perspective. So I think that's that's

22:40

one of the things that's happening that

22:41

>> so you're in the camp of sell the chips

22:43

to them and it will demotivate the TSMC

22:49

or the capture of those fast.

22:51

>> Put it this way. I think the more the

22:53

global productivity index can climb, the

22:57

better off all humans will be. So the

23:00

question is, do you really want the west

23:02

to see their productivity index climb

23:04

and then you're effectively forcing

23:06

conflict and forcing issues with the

23:08

east? Or if we all grow our productivity

23:11

index, we all make more stuff, everyone

23:13

benefits, everyone has better jobs,

23:15

everyone makes more money, everyone has

23:16

access to more stuff, the cost of goods

23:18

comes down for everyone, doesn't that

23:20

make the world a safer and more secure

23:21

place?

23:22

>> Sure. So I think this idea that like

23:23

technology should be held to one uh side

23:27

of the world and not given to the other

23:28

side of the world is inevitably going to

23:30

lead to conflict or increase the

23:32

probability of conflict. Whereas if you

23:34

let technology diffuse and proliferate,

23:37

everyone benefits and conflict indices

23:39

go down.

23:39

>> It's commoditized, you know, and

23:42

everybody has access to it. So then it

23:44

it becomes

23:44

>> you give everyone a higher standard of

23:46

living and you give everyone's economy a

23:48

boost and you give everyone less reason

23:49

to fight with each other. Since you went

23:50

there with Taiwan, should we take our

23:53

arm sales off of the table, Freedberg?

23:56

And should we ask China to not sell arms

23:58

to Iran?

24:01

>> Yes, we should ask China to not sell

24:02

arms to Iran.

24:04

>> Yeah.

24:04

>> Okay.

24:05

>> I don't know what there is. What is

24:06

there to talk about there? Because I

24:08

think what she wants is for us to not

24:10

sell arms to Taiwan. So, would you make

24:14

that trade, I guess, is what I'm saying.

24:15

>> Oh, yeah. I mean, that's a good

24:17

question. And I think in that context

24:19

that's that's a nuance one. I don't

24:20

>> that's why I bring it up because that

24:22

seems to be

24:23

>> generally you're right. Yeah. I mean

24:24

generally that's probably a a trade that

24:28

you know that should be kind of trade do

24:30

the deal.

24:30

>> So you say make the trade

24:32

>> chimath. I mean I kind of know

24:34

>> we're 18 months from Taiwan not being an

24:38

important moment of conversation the way

24:41

it is today. Why 18 months? because we

24:43

are at a point where we're probably 1

24:45

to2 nanometers away from being able to

24:48

do what we need Taiwan to strategically

24:51

do for us. And so as we scale up our

24:54

chip fabs, as we get more capacity and

24:57

interestingly there are these orthogonal

24:59

technologies being developed. I don't

25:01

know if you guys saw but neuralink was

25:03

showcasing now a machine that is

25:06

literally operating at the

25:09

almost nanometer scale to do the brain

25:11

operations for the implantation all

25:13

automatically. So when when you when you

25:15

have the dexterity and the capability

25:17

mechanically to make these things, the

25:19

real reason then is a very different one

25:21

than what it is today. Today it's

25:22

economic and if you take that off the

25:24

table, I think we'll have a very

25:25

different attitude to Taiwan. That's

25:26

number one. Number two, sell the chips.

25:28

>> And the reason we should sell the chips

25:30

is we want Nvidia to win. We do not want

25:32

to give enough oxygen for Huawei to then

25:35

all of a sudden emerge and have a

25:37

version of a chip that works. And what

25:38

Mark said is totally right. These models

25:41

are catching up. They're almost at the

25:43

same pace. So the more important thing,

25:45

Jason, is probably we should all agree

25:47

is just like let's have a reasonable KYC

25:50

for how the models get used so that you

25:52

know somebody in a basement doesn't cook

25:54

up some boweapon. Meanwhile, sell the

25:57

chips. Proliferate. Let Jensen win. I'd

26:00

rather he win than Huawei win.

26:01

>> Mark, I'm going to give you the last

26:02

word, but I'm going to force you to

26:03

answer a hard question. China sets up a

26:06

blockade around Taiwan and they decide

26:08

they're taking it. Should the US defend

26:09

it? Yes or no? I I've said this for

26:12

years. I I don't agree with Neil

26:13

Ferguson on that point. I think that

26:15

this is a nonsense issue. I think China

26:17

and Taiwan will reconcile. I think that

26:20

uh Well, first of all, I do want to

26:22

schedule though Chimath for that neural

26:24

link. Um next Tuesday 5:00 we can drill

26:27

your brain. Chimoth, can I get you in?

26:30

>> What are you trying to do? Put some

26:31

empathy into Chimoth. I talked to Elon.

26:33

He said it doesn't. You just drill right

26:35

in. There's a and boom. And then well,

26:38

you can get hooked up. It is the

26:40

craziest thing.

26:41

>> I know. I got you scheduled at 5:00 on

26:44

Tuesday tomorrow. Hold your hand if

26:46

you're too nervous.

26:47

>> And by the way,

26:50

finally had a hard literally like

26:56

for a even better show.

26:57

>> Abs. It would be incredible. Yes. And uh

27:02

I would laugh and I would giggle. We

27:05

could get into show tunes here. Free

27:07

break. I know you're um Yeah. not big on

27:09

on the show too.

27:10

>> If I only had a heart.

27:11

>> If I only had a brain.

27:13

>> A heart. A brain. And what's the third

27:15

one?

27:16

>> If I only had a neural link.

27:19

>> You got to give you courage. REEDBERG.

27:25

>> OKAY, move on.

27:26

>> All right, let's move on here.

27:27

>> Your By the way, I took kids.

27:30

>> Tim stayed home. I took his kids to the

27:32

Wizard of Oz at the sphere. It was

27:34

incredible. If you haven't seen it,

27:37

>> yeah. do something enriching with my

27:40

kids or hit the crafts table.

27:43

>> No, I I'll be honest with you. I get a

27:45

little freaked out in large

27:50

>> like groups of people.

27:51

>> Yeah, I get I get a No, just just like

27:53

when there's a lot of people, I get very

27:54

nervous.

27:56

>> Really?

27:56

>> Is this because of your newfound

27:58

celebrity? Is this is that the issue or

28:00

just always like No, I don't even want

28:01

to go there. I just have these bad

28:03

thoughts of like, oh my god, what if

28:04

something happens? How do we get out and

28:06

like

28:06

>> terrorist attack?

28:08

panic disorder. I don't know. Yeah,

28:10

exactly. You have panic disorder.

28:12

>> Panic disorder.

28:12

>> I don't I don't like these large spaces

28:14

with lots of people. I get a little

28:15

winded up.

28:16

>> Anyway, your kids had a great time.

28:18

Great show.

28:19

>> Tony Robbins lives very near you,

28:20

Shimoth. Don't you think we can get that

28:22

to happen?

28:22

>> Yeah. Let's get Tony Robbins in there to

28:24

clear that blockage. You're a Tony

28:26

Robbins guy, Mark. Why are you so into

28:27

Tony Robbins?

28:28

>> I love Tony Robbins. I had him at my

28:30

conference this week. It was incredible.

28:31

Actually, he did an incredible

28:33

presentation.

28:33

>> Did he unlock for you your success? He

28:36

claims to that he has you on the roster

28:38

of $50,000 a year CEOs?

28:40

>> I am the number one fan of Tony Robbins.

28:42

So I mean

28:44

>> what percentage of your success is

28:45

attributed to Tony's mentorship?

28:47

>> Hey, if it wasn't for Tony Robbins, I

28:49

don't think there would be a sales

28:50

force. So there you go.

28:51

>> Can you actually no jokes aside, can you

28:53

tell us like what like what like what

28:56

were those big kind of blockages and how

28:58

did you how did he help you or how did

28:59

you work through it?

29:00

>> Just focusing on hey the questions you

29:02

know the quality of your questions is

29:04

the quality of your life. It's that

29:05

insight and just are you asking yourself

29:07

the right questions. What do you want?

29:08

What's important to you? How are you

29:10

getting it? What is preventing you from

29:12

having it? How will you know that you

29:14

have it? Just no one had ever said that

29:16

to me. And then it was just like clear

29:17

to me, wait, I need to write that down.

29:19

Like what do I really want right now?

29:21

What is my point of focus?

29:23

>> And that is what gave me motivation as

29:26

soon as I got that clarity. I mean, a

29:28

lot of us do it automatically, but

29:29

that's not where I was when I was a kid.

29:31

That's for sure.

29:32

>> Did you run across the coals? Did you do

29:34

any of that kind of stuff?

29:35

>> Oh, I've many times.

29:36

>> Really?

29:37

>> Yeah, of course.

29:38

>> Okay, there it is, folks.

29:39

>> Hey, we can go together.

29:41

>> Uh, absolutely. We had Tony on the show.

29:43

I tried to get in there and understand

29:45

his psychology, but he just had us do

29:47

breathing exercises. All right. The uh

29:50

All-In Summit is happening again. Fifth

29:53

year in a row. Wow. We've been doing

29:54

this for a while. Allin.com/events

29:57

September 13th, 14th, and 15th. We'll

30:00

have you back, Mark, in year six. But

30:03

when you score so highly on a keynote,

30:05

we give you two years off so that we can

30:07

build up the anticipation. So coming in

30:09

2027, our guy Mark Benning off. But for

30:12

this year, uh, allin.com/events.

30:15

Okay. Topic two, AI's impact.

30:16

>> By the way, real quick, can can I just

30:18

do a quick PSA?

30:19

>> A public service announcement coming.

30:21

>> Public service announcement.

30:22

>> Yes.

30:23

>> Nick, just pull up this link. This dog

30:25

named Scooter needs a home.

30:27

>> Okay.

30:27

>> Promise my wife I do this. Don't get

30:29

Don't get mad at me. This dog named

30:31

Scooter needs a home. He's in Baldwin

30:32

Park. Dog's about to die. Lives in

30:35

Baldwin Park at the Animal Care and

30:36

Control. They're overwhelmed in LA.

30:38

There are so many homeless street dogs

30:40

that are being collected. They're all

30:41

being put to sleep.

30:42

>> Wow.

30:42

>> Someone give this dog a home.

30:43

>> Gorgeous dog.

30:44

>> Scooter.

30:45

>> Good dog.

30:45

>> Link. Link will be on the YouTube

30:47

channel. Thank you very much.

30:48

>> Are you getting a little emotional,

30:49

Freeberg, about this dog being put down?

30:52

>> I just don't like these, you know, all

30:53

these street dogs. like they they didn't

30:55

choose that situation they were in and

30:57

then they all end up kind of getting

30:58

pulled in by animal care and control and

31:00

then they all get put to sleep. Kind of

31:02

sucks. You're a dog guy. Come on. You

31:04

got to have a heart.

31:05

>> No, I have a big heart. Chimath, it's

31:06

$10,000 to keep these dogs alive for

31:08

another week. Can we count on you for

31:10

that donation?

31:12

>> Any purebred white golden retrievers in

31:14

that bunch?

31:15

>> No, they're just muts. Just muts.

31:17

>> We have a cat that we got at the shelter

31:19

actually.

31:20

>> Kind of a story. walked into the shelter

31:23

looking for a cat. All of a sudden,

31:24

we're in the shelter. This cat's like

31:26

coming at, you know, my kids and all of

31:27

a sudden they're, "Okay, we'll take this

31:29

cat." What is this cat's name?

31:31

>> This cat's name is Cloud.

31:34

>> Cloud.

31:34

>> That's our cat.

31:35

>> Wow.

31:36

>> Absolutely.

31:37

>> Yeah. We have Cloud the cat.

31:40

>> All right. I like it. That's awesome.

31:41

>> All right. AI's impact on software

31:43

rippling through the market. Mark,

31:45

you're on the front lines here.

31:46

>> Thank you for reminding me.

31:48

>> Yeah. Well, I mean in pain and suffering

31:50

are lessons, right? I think the Buddha

31:52

and Tony Robbins both taught us that and

31:54

the only way to the other side is

31:56

through as you know, Mark. So,

31:58

Salesforce down a whopping 37% 90

32:01

billion in losses for you. service now

32:03

42% workday 45%

32:06

180 billion in market cap's been lost

32:08

and the assumption mark is that AI is

32:13

going to make it unnecessary for you to

32:15

use Slack or Salesforce or HubSpot

32:17

whatever it happens to be that you'll

32:18

just ask your AI to solve this for you

32:21

and we'll all look at a piece of glass

32:24

and have no actual software the AI will

32:27

just tell us what to do what's your

32:29

response to the fear the criticism and

32:32

how are you managing this massive change

32:34

internally?

32:35

>> You're right. It's the SAS apocalypse.

32:37

Um, I mean, it's not my first SAS

32:39

apocalypse, honestly, but it's the

32:40

current SAS apocalypse. So, we are all

32:42

now drinking at Salesforce Esprillas.

32:45

And, uh, we actually have a pet

32:47

Sasquatch as well. Yeah, we're all a

32:50

little more sassy. That's what I would

32:51

say. That's number one.

32:53

>> You bring the sass to sass.

32:55

>> We got to bring sass to sassy, you know.

32:57

And then,

32:57

>> well, you've always been a sassy guy.

32:59

>> Yeah. And then number two is look the

33:02

market is rerated. It's not a mystery.

33:04

Everybody knows you know you guys have

33:05

been talking about it for a while. I've

33:07

been living it. So the market software

33:09

market's rerated. It happens every now

33:11

and then. There are cycles. You know

33:12

I've been doing Salesforce for 27 years

33:15

enterprise software for 40 and the

33:18

market's rerated. So you mentioned

33:20

HubSpot. They're trading at two times

33:22

sales. I've never seen that before. They

33:25

just had a great quarter. We saw a lot

33:27

of great quarters. I looked at the top

33:28

10 major enterprise software companies.

33:30

They all had great quarters and they're

33:33

all trading in two time sales. So why?

33:36

Because of everything you just said.

33:38

There's like, you know, a hypnosis

33:39

around AI and, you know, we haven't seen

33:42

it show up in the numbers yet. If it

33:44

shows up in the numbers, maybe people

33:46

will be right. Right now, all we know is

33:48

there's still a lot of enterprise

33:50

software being sold in the world.

33:51

>> So you've been through this. It's not

33:53

your first time.

33:55

>> This is not my first apocalypse. I mean,

33:57

I remember the cases apocalypse of 2020

34:00

when COVID happened and all of it, you

34:02

know, everything collapsed. There was

34:05

the great cases apocalypse in 2016.

34:08

What's that?

34:09

>> In all sincerity, what's your strategy

34:11

and how do you deal with,

34:12

>> you know, your internal team? Obviously,

34:14

they are compensated through, you know,

34:16

stock and this is headwind and you have

34:19

competition for employees from OpenAI,

34:21

Anthropic, and SpaceX. So, how do you

34:24

deal with uh rallying the troops and

34:27

then how do you develop a strategy?

34:29

>> Well, you're right. I mean, it's a lot

34:31

easier to be a private company right now

34:33

where you don't have to be rationalized

34:35

by the public markets. If you're in the

34:36

public markets and you get rerated,

34:38

that's the reality of being in the

34:40

public markets. And I think that for

34:42

what I tell my employees, what I just

34:44

told my employees is look, you can't get

34:46

drunk on the stock price. If you are

34:48

like focused on today all the time and

34:51

that is how you're getting, you know,

34:52

your emotional state, it it's not going

34:54

to work for you. You have to find a

34:56

different anchor. So I try not to pay

34:59

really a lot of attention to it. I'm

35:00

focused on my customer success. How is

35:03

our revenue? Look, we'll do over 46

35:05

billion this year, more than 16 billion

35:07

in cash flow. We have more than 83,000

35:09

employees. These are the things that I'm

35:11

focused on. What is the level of

35:13

customer success that we're delivering?

35:15

That's a really important I can't

35:17

control the stock price. There's nothing

35:19

I can do. And for our employees, they

35:22

can't control it either. That they need

35:24

to believe in the company and the

35:25

quality of the success they're

35:27

delivering to customers in the long

35:29

term. And then you look at the market,

35:31

you look at these other companies, not

35:32

just us. They're doing great. And I

35:35

mean, I saw some great numbers, but it

35:37

doesn't really matter. The market's

35:38

rerated.

35:40

>> Well, you've got all that free cash

35:41

flow. You've been great at acquisition.

35:43

So, I'm sure you're uh

35:44

>> I've bought some great companies, by the

35:46

way. Everything's a little cheaper. I

35:48

like that.

35:48

>> Yeah. Chimoth, what's your take on this?

35:50

You've been pretty critical of the SAS

35:53

space in previous episodes, pointing

35:56

out, hey, how durable are these

35:58

revenues? So, what's your take?

36:01

>> I think the low end of the market is

36:03

basically finished. I think there there

36:05

is no safe space. I think the high end

36:09

of the market where Mark operates, where

36:12

the large monoliths operate is quite

36:15

safe and the tell was this week.

36:18

The the deployment company deal

36:21

basically shows you what OpenAI is

36:24

running into. So, you know, you have to

36:27

put in $4 billion. You get all of these

36:29

folks. You gave them a 17.5% preferred

36:33

guaranteed return for what? essentially

36:37

to stand up a competitor to Ernston

36:38

Young, Anderson, Deote, PWC, Cognizant,

36:42

etc. If you just look at that, that

36:44

doesn't actually mathematically make

36:46

that much sense if you look at what

36:48

those companies are actually trading at.

36:51

But why is OpenAI doing this? I think

36:54

why is because at the high end of the

36:56

market where all the action is, what

36:59

people are finding is, hey, hold on a

37:01

second. This is a lot harder than we

37:02

thought. It's not like boop boop boop

37:04

put in a put in a prompt and beep boop

37:06

it all works. It's not how it works.

37:09

>> And so I think I think we're

37:12

>> I think we're a little oversold.

37:14

>> And I now I think this consolidation and

37:16

the rerating can happen in the opposite

37:18

direction. So what is the opposite

37:20

trade?

37:21

>> The opposite trade is who has

37:24

constructive net dollar retention, who

37:26

has negative churn that's been really

37:28

predictable, which is a way of saying

37:30

who has the best relationships. meaning

37:32

they're inside the CXOs and the seauite.

37:35

They have relationships with the CEOs

37:37

and they're trusted and they've been

37:39

around for 20 years. Those guys, I

37:42

think, are positioned to crush because

37:44

eventually, Jason, the next trade that

37:46

has to happen is when the public markets

37:48

become a little bit less breathless

37:50

about AI and they ask one simple

37:53

question. Okay, guys, you've spent $3

37:56

trillion in the last four years. What is

37:58

the ROI of these tokens?

38:01

And what's going to happen is they're

38:04

going to have to go to guys like Mark

38:05

and other people and say, "Please sell

38:08

my tokens." And that's the next shoe to

38:11

drop. If you if you had to ask me. So I

38:13

think you're going to see these revenues

38:15

which are like way out of whack like the

38:16

multiples on revenue, multiples on

38:18

assets, multiples of they're not even

38:19

multiples of those will come way back

38:22

down and I think these go back up and

38:25

you'll find a balance.

38:26

>> Yeah. And you've uh initiated what could

38:29

only be described as an unprecedented

38:31

massive stock buyback mark 50 billion.

38:34

>> I think it's the one of the largest in

38:36

history. Yeah, we we're you know we we

38:38

want to buy back as much as we can and I

38:43

would just say that you know look at a

38:46

high level look there's awesome new

38:49

capabilities like these coding agents

38:51

are awesome. Enthropic is awesome. like

38:53

I am going to probably use $300 million

38:56

of Enthropic this year at Salesforce

38:58

coding. Everything's going to be cheaper

39:00

to make. It's more efficient. I can do

39:03

things that I just could not do before.

39:04

I can go faster than ever before. I can

39:07

implement my software and sell it at the

39:09

same time. I've never been able to do

39:12

that before. I can break through

39:14

obstacles that I've had, you know, just

39:16

by focusing because I have coding agents

39:20

and humans together working together.

39:22

Today I have humans, agents and headless

39:25

platforms all interoperating never

39:27

before. So the opportunity for my own

39:31

company and the efficiency that I have

39:33

in my own company in service and support

39:35

in distribution in marketing across the

39:39

board is unprecedented. What I can do

39:41

for our customers unprecedented and you

39:44

know to that point my gosh have you seen

39:46

Anthropic? I mean it is a rocket ship

39:49

that will not stop because you can use

39:52

this product to do these incredible

39:54

amazing things and then complement it

39:56

with platforms like ours. It's you know

39:59

it's it's it's it's impossible to

40:01

describe what we're going to be able to

40:03

do for customers. It's going to be

40:04

awesome

40:04

>> and never waste a crisis. You've been

40:06

super focused on the efficiency of the

40:09

company, a headcount, share buybacks,

40:11

and I'm guessing you're looking at M&A.

40:15

So, it's not your finished up one of our

40:19

biggest deals ever, Informatica. I think

40:21

it was eight or nine billion dollars.

40:24

It's been in it's been awesome because

40:27

none of this stuff works if you don't

40:28

have context. You know, the AI is very

40:31

probabilistic. that is it can kind of

40:33

kind of figure things out but it needs

40:35

to be grounded in real data and it needs

40:37

to have that semantic layer. That means

40:39

it needs to be locked down into the

40:41

truth into a single source of truth or

40:43

it just cannot work well. And so our

40:46

customers want more harmonized data,

40:48

federated data, integrated data. So we

40:51

bought Informatica. Our customers want

40:53

our apps to use those large language

40:55

models to be able to provide not just

40:58

automation to their employees but also

41:00

to their agents just like we just said.

41:02

So like if you call 1800 no software

41:05

right now for the first time in 27 years

41:07

you talk to agent force hey agent force

41:10

what's happening but then after it

41:13

authenticates you and you get in the

41:14

system and it doesn't know who you are

41:16

then boom it'll autoes escalate you to a

41:19

human being who says oh I can see

41:21

everything you've been doing oh yeah you

41:23

just need to resolve this this and that

41:25

and so that trinity of the phone the web

41:28

and the human being are all together

41:30

it's all made possible buy this AI. We

41:33

just could never do that before. That is

41:35

awesome.

41:36

>> Was it controversial, Mark, to make

41:38

Slack headless? Was that a big decision

41:40

or was that a was everybody kind of

41:42

mostly on board with that?

41:43

>> Well, we were the first to, you know,

41:45

the way that our platform is architected

41:47

and Chimoth, you know it so well cuz

41:48

you're coding your coding agents and the

41:51

company you're building can run right on

41:52

top of it and build awesome stuff also.

41:55

So, you know, number one is we were the

41:58

first with an XML API, a SOAP API, a

42:01

REST API, now a CLA API, MCP API. We

42:06

always wanted to have a platform that

42:08

had every API possible. And our apps are

42:10

not hardcoded where we had to cut the

42:13

top off of them. They've always be

42:14

embedded inside our platform. So now we

42:17

can stream our apps out through a new

42:19

API called AXL and I can manifest it

42:22

into any large language model or device

42:24

or anything and it just works better

42:28

actually.

42:29

>> I think that you know when Jack Dorsey

42:32

wrote that memo Jal and part of what he

42:34

said is

42:35

>> he he's going to try to run his company

42:37

by building a world model. Yes. My

42:39

initial thought was, well, where is the

42:41

context, Mark? What you said before,

42:42

where's the semantic understanding to

42:45

create a world model? And a lot of it

42:47

for a lot of companies is actually in

42:49

Slack.

42:49

>> It's in Slack and email. Yeah, those two

42:51

places.

42:52

>> I showed you that Slackbot, Jason. I

42:54

mean, the thing is all because you run

42:56

your company on Slack, all your DMs, all

42:59

your channels, we're reading that now

43:01

through the AI and we can tell you more

43:03

about your business than you know

43:05

>> because Slackbot is reading stuff that

43:08

>> you know, nobody knew what was happening

43:11

and like I'm using that myself, but I

43:13

can then connect it into other things.

43:15

So, I have the ability to go into

43:16

Salesforce and Google and everything.

43:18

And so, when I'm on Slackbot, I can ask

43:21

it any question about my company. What

43:23

are my top five deals? What am do what

43:26

are my employees upset about? What are

43:28

the top three things I need to focus on?

43:30

And then boom, I get the information

43:32

because it has the data.

43:34

>> I think you should really look at SL

43:36

making Slack more open and cheaper and

43:40

getting more of that context because

43:43

there are limitations in terms of

43:45

getting your data out based on like

43:47

which plan you're on. It's just too

43:49

convoluted. But once I upgraded to a

43:52

higher plan and you know it's whatever 6

43:54

12 18k for our small company I was able

43:57

to get more and more context to my

44:00

openclaw plexity computer and claude we

44:03

and we're testing all of those and today

44:06

I wrote literally before I got on the

44:08

show a new prompt that is every two

44:12

hours in our Slack tell me what

44:14

decisions are being made who's making

44:16

those decisions um and what you would

44:19

handicap those decisions. If you were my

44:21

chief of staff, if you were a CEO or if

44:22

you were a board member and I created

44:24

personas to now evaluate decision-

44:28

making going on just

44:29

>> I have to show you the new version of

44:31

Slack. You're going to love it, Jason.

44:32

And you know that open AI and

44:34

enthropping and every AI company is

44:36

standardized on Slack. Yes.

44:38

>> And by the way, and our core sales cloud

44:40

and service clouds as well.

44:42

>> So I got to show you what we're doing.

44:44

Yeah.

44:46

So fun.

44:47

>> What's your advice to let's say you were

44:49

running a software company that was like

44:51

before the AI wave and you're private,

44:53

right? There's a bunch of these

44:54

companies that were supposed to go

44:56

public, didn't go public. What should

44:58

they do? Like what do those boards do?

45:00

What

45:00

>> they here's some Kleenex for them for

45:02

all their tears

45:05

>> because they're I mean I talked to these

45:06

CEOs. They're crying. What my market

45:08

cap? I'm not getting paid for my work.

45:10

Guys, grow up. You know, that's what I

45:12

love about the public markets. They

45:14

rationalize everything all the time. So

45:16

>> great, be in the public markets. You

45:18

want to be in a private market. Your

45:20

valuation is fantasy land until

45:21

somebody's actually going to pay you. So

45:24

I just tell them, hey, you got to focus

45:27

on your revenue, focus on your

45:28

customers, focus on your cash flow,

45:30

focus on your profitability, focus on

45:32

your innovation. How are you going to

45:34

add value to your customers? That's

45:36

what's really truly important.

45:39

>> Freeberg, any thoughts from you? We're

45:40

doing a big Salesforce implementation at

45:42

O'Hollow and I I would say that one of

45:45

my observations over the last six months

45:47

because we've talked a lot about using

45:49

these generative tools is we've kind of

45:52

dropped all the vertical software but

45:55

we're doubling down our investment in

45:57

horizontal tools. So like we're

45:58

investing heavily in these platform

46:00

capabilities that then we're able to

46:03

build apps and workflows on top of them

46:05

that are specific to our business rather

46:07

than try and buy an offtheshelf app or

46:09

workflow tool. So I think that there's

46:11

kind of a really interesting moment

46:12

right now where we talked about this

46:14

last time you could kind of discern

46:15

between founder and non-founder

46:17

enterprise software. I also think that

46:18

there's this kind of vertical horizontal

46:20

shift where they're kind of trading the

46:23

same right now but you could probably

46:24

break them. You could break that trade.

46:26

So, I think there's probably a good

46:27

arbitrage there.

46:28

>> I think everyone who wants to sell those

46:30

potato seeds, you know, is going to need

46:34

>> some tools to sell them. But the thing

46:36

that's kind of cool is, you know, we

46:38

have 15,000 salespeople now. So, they're

46:40

out there selling these products like

46:42

Slack and selling to David and so forth.

46:45

But here's the thing that's interesting.

46:47

In the last 27 years, we calculated

46:50

somewhere between 20 to 30 million

46:52

people, we didn't call back. We did not

46:55

call them back

46:56

>> because we didn't have the people to do

46:58

it. So just this week I called back

47:01

50,000 people, you know, just through

47:04

agents so I can qualify. I just bought a

47:07

company called qualified so I can

47:09

qualify the agents, call people back the

47:11

BDR, the SDR function. I can go

47:14

outbound. I can do things I could never

47:15

do before. That is made possible by this

47:18

AI automation linking it then to the

47:21

apps. You can go to another level.

47:24

Yeah. Okay. Breaking news. I want to get

47:26

everybody's take on this. Open AAI in a

47:28

breaking news story is considering suing

47:31

Apple over their Chat GPT partnership.

47:33

As we all know, two years ago, Apple and

47:36

Open AAI announced Chat GPT would

47:38

integrate into Siri, iOS, MacOSS. But

47:41

according to Bloomberg, the deal has

47:43

gone so poorly for OpenAI that they

47:45

might sue Apple for breach of contract.

47:48

Here are OpenAI's gripes. Apple chat GPT

47:51

integration within Siri requires users

47:53

to specifically say chat GPT to get

47:56

results. We probably all experienced

47:57

this if we haven't given up on Siri,

47:59

which is the worst personal assistant

48:01

ever created. Uh Apple hasn't it's

48:03

discretionad to the highest level. Just

48:07

discretad with this product. How do you

48:09

get there first and you remain worst?

48:13

Apple hasn't promoted the integration at

48:15

all and users are still overwhelmingly

48:18

going to the standalone chat GPT app or

48:21

others. OpenAI

48:23

expected billions of subscription

48:25

revenue from the deal and it hasn't come

48:27

to fruition. According to Bloomberg,

48:30

Apple's side of the story is, hey, they

48:31

have concerns about Open AI's privacy

48:34

practices. Maybe they don't trust the

48:35

guy in charge over there, which was a

48:37

reoccurring theme in the lawsuit. And

48:40

they're annoyed that OpenAI, and here is

48:43

the palace entry, they're upset that

48:48

OpenAI is building hardware to compete

48:51

with Apple and that they recruited their

48:55

design guru, Johnny IV.

48:58

Mark Beni off, you know, the players.

49:01

What is going on here? Yeah,

49:04

>> you got to trust Sam Alman and Open AI.

49:07

I love him. But let's just upscale this

49:10

conversation just one second. Listen,

49:13

what has happened? What happened is we

49:15

have these LLMs. They starting to come

49:17

out come out. Every company's kind of

49:20

chosen a slightly different path. You

49:22

had Elon, he went out, he had Grock and

49:24

he kind of started building these

49:25

companions and sex bots and all this

49:28

kind of stuff going on. And that was a

49:29

huge focus of his, the sexbot focus.

49:32

Then you kind of had OpenAI and they

49:34

were doing the Sora video thing and

49:36

they're also doing ad networks and crazy

49:38

stuff like that. Then you had Gemini and

49:41

they had the Nano Banana and then

49:43

finally you've got Enthropic and they go

49:45

we don't know about those sex bots and

49:46

we don't know about Nano Banana but

49:48

we're going to do coding agents. And it

49:50

turned out Enthropic was right. And all

49:52

of a sudden the rocket ship took off and

49:54

now everybody's like, "Whoa, where did

49:56

Enthropic go?" Oh, whoa, they're way up

49:58

there. And then they're all like, "Where

50:00

are all they going to do coding agents

50:01

to?" And now they're all resetting and

50:04

kind of hitting their buttons and going,

50:05

"Coding agents. Everybody focus, focus.

50:07

Kill Sarah, kill this. Get rid of that.

50:11

Sex bots off." You know, cursor on.

50:14

Yeah. And that's where we are right now.

50:18

And so everybody, look, this is what's

50:20

cool about right now is that everybody,

50:22

it's such a dynamic moment in our

50:23

industry. It's so exciting that people

50:26

have to pivot and you have to be ready

50:28

to focus and refocus and constantly ask

50:31

the question like, "What do you want

50:32

right now?" And everyone is changing

50:35

what they really want. And if you looked

50:37

at where everybody was a year ago and

50:40

where they are now, they're in a totally

50:42

different place cuz we all know that

50:43

when Enthropic 46 hit, boom, everyone

50:47

could code in their companies. And

50:49

before that, they really couldn't. It

50:50

was a little bit of a productivity

50:52

improvement, but not as much as we

50:54

wanted. Now everybody sees this and

50:56

goes, "Wow, this is unbelievable." We're

50:59

even working on technology inside Slack

51:02

to make it easier for everybody to code.

51:04

So I think it's going to be really

51:07

>> breaking news. Breaking news there.

51:08

>> You're going to see some cool stuff with

51:10

Slack and Code. I'm not ready to talk

51:11

about it yet, but there's no question

51:14

that uh we are in a new moment in

51:16

coding. I mean Chamas got a whole

51:18

company around it. A lot of people have

51:19

companies around it. There's going to be

51:22

before coding was all about humans and

51:24

like that's where I started. I was 15

51:26

years old, Berlin game high school on

51:29

hands-on keyboard writing video games,

51:31

you know, basic 68,000 6502,

51:35

you know. No, no, now it's like

51:38

everyone.

51:38

>> How's that changed your org? Is it the

51:40

product manager, the developer, or the

51:42

UX designer?

51:45

>> The creator, or did it all blend into

51:46

one blended? And who wins? Who wins?

51:49

It's all blended together. And by the

51:51

way, to to Mark's point, the hands-on

51:53

keyboard thing, you know, most of our

51:55

engineers just speak. They So it's like

51:58

And so, you know, one of our guys just

52:00

has a foot button operated thing and it

52:02

just like

52:04

that,

52:04

>> too. Yeah. Whisper. That's all they do.

52:06

Flow plus.

52:08

>> It's all talking. Pedal plus whisper

52:10

flow and talking. There is no cans on

52:12

keyboard anymore.

52:13

>> All right. So, let's get back to this

52:14

story here.

52:14

>> We're going for dolphin flow at

52:16

Salesforce.

52:18

>> Dolphins on keyboards. Mahalo for you.

52:21

Aalo. Um, Freeberg, two questions. One,

52:25

now that Sam has shut down the sex

52:27

spots, how are you filling that void?

52:28

And then number two,

52:31

thank you, Jama.

52:33

And number two, what's your take on the

52:35

strained relationship here between

52:37

OpenAI and the world and specifically

52:40

the Apple world?

52:42

>> I don't know what to tell you. This that

52:43

there doesn't seem to be a lot of

52:44

long-term partnerships with Open AI.

52:47

That's a very uh generous way to say it.

52:52

What should Apple do? Should they just

52:54

go back to the loving arms of Google

52:56

where they made a hundred billion

52:59

dollars being partners with them on the

53:01

search default your alma

53:03

>> I don't know what to tell I mean look at

53:04

the end of the day I think Google has a

53:07

real opportunity to integrate a Gemini

53:09

assistant into all of your personal

53:10

information and Gemini and calendar

53:13

>> your Google drive your Google photos

53:15

where all of your personal information

53:16

sits it can become your your point of

53:19

calendaring your point of asking it

53:21

questions about your personal

53:23

Hey, when did I email this person, etc.

53:25

And in the enterprise context, I think

53:26

that's also up for grabs with G Suite.

53:30

And so, Google has a real chance to kind

53:32

of own that assistant interface. Maybe

53:34

Salesforce does too, Mark. Apple

53:36

obviously has an embedded install piece.

53:37

How many people are using Apple services

53:41

for doing all of their mail, for

53:43

calendaring,

53:45

for storing their information? I think a

53:47

good number.

53:49

>> Yeah. So that may end up becoming kind

53:51

of the way that the world silos out is

53:52

like you'll have an assistant, but the

53:55

assistant for it to be truly useful to

53:57

you individually, it has to have access

53:59

to all of your information. Whether it's

54:01

in an enterprise context or a personal

54:02

context, Apple is probably going to need

54:04

to either build their own or white label

54:06

with a partner, could be anthropic,

54:08

could be someone else

54:09

>> to get this to really work. But but

54:11

they're going to be up against a

54:12

formidable competitor is my point

54:13

because I think Google Assistant is

54:14

going to end up be being kind of a real

54:16

kick-ass product once they get this

54:18

flywheel going. Apple has the clearest

54:20

path to becoming, you know, a top two or

54:23

three player in AI simply by buying

54:26

something like Perplexity or Mistrol or

54:29

or or some AI lab and then using their

54:33

hardware footprint, which is

54:34

extraordinary. I just got this MacBook

54:36

with 48 gigs of RAM on it with an M5. It

54:39

is unbelievable. And the new ones with

54:41

the the Studio coming out are going to

54:43

have a terabyte of RAM. they are going

54:46

to have a clear path to maintaining your

54:48

privacy running local models and that's

54:51

going to solve people's problems. It's

54:53

going to be very easy to index all your

54:55

images without giving the data to OpenAI

54:58

which nobody trusts or giving it to

55:00

Gemini. And that's I think a big part of

55:03

why they picked the current CEO is

55:05

because he's an engineer and

55:07

hardwarebased. I I think the future of

55:08

this is going to be local models running

55:10

on extraordinary desktop hardware. And

55:13

if you have employees on this level of

55:16

hardware running these models local like

55:18

I have started to do, they become 10

55:20

times more valuable than the employees

55:22

not running it. I I think Apple's my

55:24

choice for the next year.

55:25

>> I'm not a huge believer in these local

55:27

models. And the the only reason why is I

55:29

think you want persistence. You have

55:31

multiple devices. You have multiple

55:33

persona. You're using a web browser in

55:35

one instance. You're using a different

55:36

computer at home in the other. And the

55:38

idea that you don't have persistence

55:40

that follows you around in 2026, I think

55:42

is a breaking feature. So, I think

55:45

you're not going to lug around a 5B

55:48

MacBook Pro everywhere you go so that

55:50

you can get knowledge. Oh, wait. You're

55:52

asking, "Oh, wait. I got a diagnosis

55:54

from my doctor. Hold on a second."

55:57

>> I don't think that's

55:59

the game on the field. The game on the

56:02

field though is

56:03

>> you will uh be able to use iCloud for

56:05

this as well. So, it's going to be, you

56:08

know, effortlessly.

56:10

>> So, well, look, give me your opinion on

56:11

this. I think the thing that you're

56:14

assuming is that these form factors

56:16

don't need to change. And I just wonder

56:19

like, don't we have an iPhone moment

56:20

that we're just all going to be

56:22

surprised by where somebody shows up and

56:24

they're like this thing and you're like,

56:26

"Oh my god, that's the thing." Do do you

56:28

know what I mean? like yeah that that's

56:31

I

56:32

>> there's enough ingredients here where

56:34

somebody's going to cook something up

56:35

and then you have to think about Jason

56:37

the sunk cost of like you know look

56:40

Apple is incredible

56:42

but there that's the product of 40 years

56:44

30 years of meticulous process

56:47

optimization

56:48

what do you do if the form factor is

56:50

totally different and the nature of the

56:51

device is different how do you pivot

56:53

that organization

56:55

>> you're hitting on something very

56:56

important and it dovetales with another

56:57

story on the docket mirror Mrage

56:59

released thinking machines new real time

57:04

world

57:04

>> that was impressive

57:05

>> and this is super impressive and Apple

57:07

at the same time has patented putting

57:10

cameras into your AirPods so you're

57:12

right and then I use this plug pin I've

57:14

talked about it before

57:15

>> these persistent hardware devices the

57:17

watch the earpieces are going to know

57:18

your entire reality they're going to

57:20

monitor your entire desktop and this is

57:22

going to lead to a a use of tokens that

57:26

would be a thousand times what user

57:28

business users are currently using

57:30

because the way mirror's and we should

57:32

have her on the pod or at one of our

57:33

events. The way her model works

57:35

Freedberg is it's watching your desktop.

57:38

It's listening to all the voices and

57:40

then it's watching your webcam all at

57:42

the same time and every 200 milliseconds

57:46

it's uploading it to two different

57:47

models. One is deep thinking and looking

57:50

backwards, you know, at a maybe a 30-

57:52

secondond clip and the other one's in

57:54

real time. that will 1,000x the need for

57:58

tokens if people are doing this for 8

58:00

hours a day cuz it's not the turnbased

58:03

here's my latest prompt here's my

58:05

question I got a response it's in real

58:08

time always querying an LLM which is

58:11

going to require a hardware upgrade to

58:13

the average desktop Mark Beni off what

58:16

are your thoughts on this brave new

58:17

world

58:18

>> it's one small step for man one giant

58:20

leap towards AGI I think that you said

58:25

really well. I mean the we are in the

58:27

we've been so kind of think that LLM is

58:29

the beall end all. We're going to go to

58:31

AGI. I don't really understand how large

58:34

language models which are only about

58:35

language and words and we know how it

58:37

works. It's one word one word therefore

58:39

the next word is this is going to get us

58:41

to where we want to go to which is

58:43

minority report or um

58:45

>> agreed

58:45

>> all the science fiction movies that

58:47

we've seen. But what we saw and and I

58:49

think Jason you'd really articulated

58:51

that super well by the way multiensory

58:54

models and multiensory models. Well,

58:56

here's a good one. Oh yeah, me. I'm a

58:59

multiensory model in a biological

59:01

computer. I'm a multiensory model. I've

59:03

got these eyes, ears, mouth, you know,

59:05

work. Sometimes some brain, heart,

59:07

whatever. And some other things going on

59:09

too that I don't even understand. And

59:11

it's all running in this biological

59:13

computer. I'm not exactly a large

59:15

language model, though I do have one.

59:17

sometimes. So I would say that

59:20

multi-ensory models are the next big

59:23

wave for AI and then but we're still not

59:26

at AGI at that point. But those demos

59:28

like the demo of that model that was

59:31

pretty everyone should see like that was

59:33

pretty awesome. And then I think we can

59:36

kind of say hm where are we now on this

59:39

on the path? But I think every model

59:42

company is kind of go hold on pivot you

59:45

know again pivot like saying pivot

59:47

everybody's pivoting and you're going to

59:49

have to pick your poison and where where

59:51

are you going next you know and you

59:54

can't do everything you can't

59:55

>> you said you were spending 300 million

59:57

on tokens with anthropic. Now imagine

60:00

what this would do to an average, you

60:03

know, employee if they needed a thousand

60:08

times the tokens they have now. So

60:09

instead of spending 150k in tokens, you

60:11

got to spend, you know, a hundred

60:13

million. But you have

60:15

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

60:17

think that that I think we're getting

60:18

brainwashed on that.

60:19

>> Okay. So explain.

60:21

>> I think that's a mistake to think that

60:22

way. See, I think we are wasting a lot

60:24

of these tokens. So my coding here's my

60:26

I think I convince you this. So here's a

60:29

here we're using $300 million of

60:30

enthropic this year and we're coding

60:32

we're coding we're coding right the vast

60:35

majority of those tokens don't need to

60:36

go to enthropic there needs to be some

60:39

intermediary layer layer that's saying

60:41

oh oh that one has to go to enthropic

60:43

but these ones can handle by smaller

60:45

models

60:47

that can route it to the most affordable

60:49

for the job it's such an early moment

60:52

you know it's an early moment and you're

60:54

and I want to connect back to what you

60:55

said before which was brilliant Jason

60:57

which because the importance of the edge

60:59

because the edge and the cloud are going

61:02

to come together. Okay. And yes, you're

61:05

going to have more distributed

61:06

intelligence. It's going to work

61:08

together. That's going to makes a ton of

61:09

sense what you said. What Chama said was

61:12

also completely right. You were both

61:14

right. Then you combine it to this idea.

61:17

Let's put it together where we're going.

61:18

Yes, we're going to have more

61:19

distributed intelligence. We're going to

61:21

have intelligence on the edge. We're

61:22

going to have multiensory models. And

61:25

yes, you're going to do coding. And it's

61:26

going to be more efficient though. So to

61:28

think that it's going to be always so

61:30

expensive, that is just the moment of

61:33

time that we're at right now. And I

61:35

think there's going to be a hot new

61:36

company that's going to come along and

61:38

say this. I'm going to sit between you

61:41

and Anthropic and Open AAI and I'm going

61:44

to make sure that they you only need

61:46

their tokens when you actually need

61:49

them.

61:50

>> And that is not really where we are

61:51

right now.

61:53

>> Does that make sense what I'm saying?

61:54

Like you're like%

61:56

>> it's like oh I need a shower and Okay,

61:59

great. All the water. No, no, no. I just

62:01

need some water. I don't need all the

62:03

water.

62:04

>> Yeah.

62:04

>> Okay.

62:05

>> All right. Listen, we uh have two final

62:08

topics here. We could talk about

62:09

anthropic unrolling the dark SPVS and

62:12

the impact that has on the market. Or we

62:15

can go to everybody's favorite science

62:17

corner.

62:18

>> Well, do both. Just do a quick uh around

62:20

the around the neighborhood.

62:21

>> Yeah. Okay. Lightning round on uh we'll

62:23

do SPVS last. Freeberg, what do you got

62:26

in Science Corner? Everybody, all the

62:28

all the Freedberg fans are just

62:30

destroyed when we skip it. So, let's

62:31

give

62:32

>> a good one. Mark, do you like Science

62:33

Corner? No, you do.

62:35

>> I do.

62:35

>> Come on. Yeah.

62:36

>> Only the oceans.

62:38

>> Mark is the greatest salesman in Silicon

62:40

Valley. He loves it all and he wants to

62:42

hear more.

62:44

>> Mark, how did you learn sales? How do we

62:47

become half as good as you?

62:48

>> I'm not a good sal. I'm like a I'm a a

62:51

geek.

62:52

>> You are, but you know how to

62:53

>> call it a Tony Robbins seminar. Let's

62:55

go. Walk over the coals together. Let's

62:57

roll.

62:57

>> We're all going to Tony. Put out the

62:59

coals. We're walking across them.

63:01

>> Nick, let's pull up the first chart.

63:03

This science corner is about the dreaded

63:06

El Nino season that is coming up. And so

63:09

this is a forecast for sea surface

63:11

temperature anomalies. And basically

63:14

what this means is that the ocean at

63:16

this point has heated up so much that

63:21

there's now a forecast on ocean

63:23

temperatures that are going to exceed

63:25

anything we have seen in recent history.

63:29

So we're kind of looking at temperatures

63:30

that might be 4° above normal. That

63:32

doesn't sound like a lot, but let's just

63:34

look at this image. That top image is

63:36

the sea surface temperature anomaly.

63:38

That means how different the sea surface

63:40

or the the ocean temperatures are. Why

63:42

does that matter? And this is compared

63:44

to 1877 when we had the biggest El Nino

63:47

year ever. And I'll explain what that

63:49

means in a moment. But why does this all

63:51

matter? The reason is the oceans are the

63:54

battery of weather. What happens at one

63:57

part of the year is that the oceans

63:58

absorb heat energy and absorb absorb

64:01

absorb gets hotter and hotter and hotter

64:03

and then that heat energy is released

64:04

into the atmosphere and then the

64:06

atmosphere drives the weather events

64:07

that happen all over the world and it

64:09

becomes somewhat predictable that you

64:10

can estimate what the weather over the

64:13

next year is going to be like based on

64:15

how the temperatures are sitting in the

64:16

ocean today. And at this point there is

64:19

so much excess energy stored up in the

64:22

oceans. I'll give you guys a statistic.

64:24

It's about 11 million terowatt hours.

64:27

The whole planet Earth uses 25,000

64:30

terowatt hours in a year. So 11 million

64:33

extra terowatt hours of energy is

64:35

currently stored up. That's 500 years

64:37

worth of human energy in this ocean. And

64:39

over the next few months, that energy is

64:41

going to be released into the

64:42

atmosphere. And that will absolutely 99%

64:46

confidence that will make the upcoming

64:48

year the hottest year on record by far

64:50

that humans have ever experienced or at

64:52

least that we've experienced in recent

64:54

history where we didn't have data going

64:56

going back a long time. It changes the

64:58

trade winds which changes how a lot of

65:01

the weather evolves from a normal

65:02

season. It changes the moisture in the

65:04

atmosphere in certain parts of the

65:06

world. And I'll just give you some

65:08

highlights of what this means. Over the

65:09

coming year, there will be major

65:11

atmospheric river events where you just

65:13

get water dumped on you in the southwest

65:15

in California and the Gulf Coast. You'll

65:18

have very low snowfall and very high

65:20

heat waves in the northern part of the

65:21

US going up to Canada. You guys remember

65:23

all those fires a couple years ago in

65:25

Canada. Interior regions of the US like

65:28

in Phoenix and and so on. They're

65:30

already seeing temperatures at 106

65:32

degrees in May. A super El Nino like is

65:34

forecasted for this year could extend

65:36

that duration of these heat domes which

65:38

could create temperatures that we've

65:39

never seen in those areas. Southern

65:41

Argentina, Chile, Brazil could see

65:43

record shattering heat waves. And this

65:45

is where things start to get a little

65:46

nasty because when that happens, the

65:48

crops start to fail. And in many parts

65:51

of the world, Brazil, India, Australia,

65:54

these are critical uh local consumption

65:56

for large populations, but also major a

65:59

export markets. So if Brazil's crop

66:02

fails, if Australia's wheat crop fails,

66:05

Australia's wheat crop goes to places

66:07

like Indonesia and the Philippines.

66:08

Hundreds of millions of people depend on

66:10

that that wheat crop. Hundreds of

66:12

millions of people depend on the exports

66:13

out of Brazil. Brazil is the world's

66:15

largest a exporter. And the scariest one

66:17

of all is if the monsoons fail, which is

66:20

now a very high probability event in

66:22

India. 150 million farmers in India that

66:25

depend on their agricultural output or

66:27

they don't make any money, they can't

66:28

survive. and one and a half billion

66:30

people that depend on that food. So the

66:32

importance of this El Nino event goes

66:34

beyond just like an interesting weather

66:36

anecdote. But if you think about the

66:38

second and third effects of this over

66:40

the next year, you could see energy

66:42

prices spiking and electricity spiking

66:44

and the grid failing in parts of the

66:46

southwest, commodity prices spiking all

66:48

over the world. And then you would see

66:50

places like uh India, the Philippines,

66:53

Vietnam starting to face some sort of

66:55

unrest if there isn't enough food supply

66:57

that's coming into those markets. And

66:58

then the question in India is a really

67:00

nasty one because there isn't a really

67:01

good solution. India and markets like it

67:04

that are significantly dependent uh on

67:07

having their monsoon event but also are

67:10

currently facing a shortage of nitrogen

67:13

based fertilizer because of the crisis

67:14

with Iran and the straight of Hormuz

67:16

which we've talked about as a double

67:18

whammy. So over the next year in South

67:20

Asia you could see a calorie deficit and

67:23

a major kind of economic crisis that

67:25

starts to emerge. So, this El Nino

67:26

event, I just wanted to kind of bring it

67:28

up as an interesting science corner

67:29

because the data now seems pretty

67:31

confirmed that over the next few months,

67:33

we're going to have this record-breaking

67:34

El Nino and these are the sorts of

67:36

consequences that will play out over the

67:38

next year.

67:38

>> This is scary. God damn. What do

67:41

you do about the the food problem?

67:44

That's a big problem.

67:45

>> That's a big problem. And this is the

67:47

commodity markets are going wild for

67:49

this right now.

67:49

>> Did this did this happen the last time

67:51

we had an El Nino?

67:52

>> Yes. So when we have El Ninos, there's a

67:54

severity of these sorts of events

67:56

happening.

67:56

>> No, I mean, did we have a food shortage

67:58

problem in the last El Nino?

68:00

>> Oh, yeah. When we have El Ninos, there's

68:02

food shortages that come out of

68:03

Australia, Brazil. You see these events.

68:05

That's a regular part of the the thing.

68:06

The problem this year is the index is so

68:08

off the charts. It is so far beyond

68:10

anything we've seen and it's correlated

68:13

obviously with the severity that it

68:15

triggers a crisis that may be, you know,

68:17

really difficult to manage in a lot of

68:19

places. So the US is a net a exporter.

68:22

So from a US perspective, our big issues

68:24

to worry about are the fire season. By

68:26

the way, this does decrease Atlantic

68:28

hurricanes. You're going to have fewer

68:29

hurricanes this year in the uh in the

68:30

south, but you know, you have these kind

68:32

of major storm events that happen in

68:34

California, the heat waves, electricity

68:36

prices. We're probably more stable than

68:38

other parts of the world. But think

68:40

about the Brazil, the a export market is

68:42

such a significant part of the economy

68:44

and Brazil has a debt problem that this

68:46

could end up becoming an economic

68:47

problem in some parts of the world in

68:50

including Brazil. So the the commodity

68:52

markets are trading this El Nino event

68:54

pretty actively right now. It's become

68:55

kind of a focal area for a lot of folks

68:57

in in commodity markets. Can your super

68:59

seeds help or no?

69:01

>> That's a longer term solution. But I

69:03

mean look, we're like at the end of the

69:04

day having um this actually a good

69:06

point, but having genetics a crop

69:09

genetics that can adapt to a more

69:11

rapidly changing climate is going to be

69:13

critical over the next couple of

69:14

decades. Uh that's a big kind of macro

69:17

for

69:17

>> another part of this Freedberg that as

69:20

certain places heat up they actually

69:23

become viable places to put crops i.e.

69:26

Canada or the northern part of the

69:28

United States. So we're seeing the

69:31

actual places you can grow certain crops

69:34

independent of gen genetic modification

69:36

is expanding. In other words, farmlands

69:38

expanding because of global warming.

69:40

>> Right? So we increasingly grow soybeans

69:42

in Canada. That was not the case. uh two

69:45

decades ago through both plant breeding

69:46

where we've made the genetics adapt but

69:48

also the warmer temperature the shorter

69:49

winters and whatnot they've been able to

69:51

grow that that crop further north but if

69:55

you guys go back a couple of years there

69:56

were major heat waves and droughts in

69:58

Australia

69:59

>> huge fires yeah

70:00

>> huge fires but remember that wheat goes

70:02

to Indonesia it goes to Vietnam it goes

70:04

to these countries with hundreds of

70:05

millions of people dependent on it and

70:06

then they got to go scramble and find it

70:08

elsewhere now on a global basis there's

70:10

always a a bit of a give and a take but

70:13

in a year like this when you have this

70:14

much energy pumped into the atmosphere,

70:16

you may not have the given the take and

70:19

that's where things start to buckle.

70:21

>> All right. So, yeah, it's just like an

70:23

early warning sign. I know I've given

70:24

food warnings, food crisis warnings

70:26

twice before on the show. He gave a

70:28

really good one for Ukraine four years

70:29

ago and it turned out that that warning

70:33

resulted in a negotiation to allow wheat

70:36

to flow out of Ukraine that Russia

70:39

Ukraine and other folks made a specific

70:42

carveout in their war to make sure that

70:44

famine didn't spread. So

70:45

>> and the fertilizer export was negotiated

70:47

at the start of the war as well which

70:48

was critical.

70:49

>> Yeah.

70:49

>> Uh for sure.

70:50

>> I think you played a role in raising

70:52

awareness for that. So I give you credit

70:53

to Freeberg Mark. Uh thanks for coming

70:56

on the program. Sorry that uh at the end

70:58

of the program we all want to commit

71:00

sapuku here but you know we have Dr.

71:02

Doom and he uh he always loves to end

71:04

the show. There he is

71:08

with an upbeat you want to rap with an

71:09

upbeat anthropic

71:11

doomsday starring David Freriededberg

71:14

coming to the Marvel franchise in

71:16

December. Yes. So you thought Robert

71:18

Downey Jr. was playing him. It's

71:19

actually Freedberg. Here's your meme.

71:23

It's not Mark Beni off's first time uh

71:25

here in the SAS apocalypse.

71:27

>> There it is. First time.

71:31

>> He's like, I've been doing this before,

71:33

boys. I'm buying my stock back.

71:35

>> Somebody cut that rope.

71:37

>> Yeah, absolutely.

71:39

>> All right, listen. Uh I'll I'll just

71:41

lightning round this one. Philanthropic

71:43

has had enough of the shenanigans of the

71:45

multi-tiered, multi-layered SPVS being

71:49

sold to dentists for 10% loadin fees. I

71:53

think we all knew this day was coming

71:55

since it's becoming the wild west. They

71:57

called out specific platforms and they

71:59

said we're going to negate them. Chimoth

72:01

Tempest in a teapot or long overdue

72:05

punishment for bad actors.

72:07

>> Love Mark said it right. All these

72:09

companies should go public and get

72:11

evaluation and and focus on the higher

72:14

order bit. And all of these tickytacky

72:17

mechanisms that people can use to stay

72:19

private longer need to get a bullet put

72:21

in its head. And these SPVS are the

72:23

worst. The layered SPVS on SPVS on SPVS.

72:28

>> By the way, I and I will guarantee you

72:29

this. Once SpaceX goes public, once

72:32

Anthropic goes public, once OpenAI goes

72:34

public, you're going to see a litany of

72:37

these lawsuits back and forth between

72:38

the purveyors of these SPVS, they should

72:41

not be allowed.

72:42

>> They should be all negated if possible.

72:46

You can't now you can't unbreak the

72:48

eggs. So, I guess you just have to call

72:50

it what it is. I hope every company

72:51

adopts this and I hope as a result these

72:54

companies go public sooner and they

72:55

rationalize their equity structure

72:58

faster. I think it's the right thing to

73:00

do. So, I like the fact that anthropic

73:01

is

73:01

>> just say it. Descatiad.

73:04

>> Well, it's not discretziad. I just I I

73:06

just think that you are going to have a

73:07

lot.

73:08

>> No. Well, you're going to have a lot of

73:09

people that are going to be very upset

73:10

once this SpaceX thing comes out because

73:12

inevitably, because it happened in Uber,

73:14

somebody gets screwed in a layered SPV

73:16

somewhere that they didn't know and

73:18

they're going to be like, "What

73:19

happened?"

73:19

>> Read the fine print. You're getting

73:21

double carry and you paid 10% on the

73:23

loadin fee and you paid a price 10% over

73:26

what the last round was. So, it's a

73:28

recipe for disaster. The fine print. for

73:30

disaster.

73:30

>> Recipe for disaster. Hey Mark, great

73:33

job. Thanks so much for coming back with

73:35

you guys. Yeah, come back any time. You

73:37

were great. Hey, your

73:40

>> there's a we have a fan question here.

73:42

This is a fan question that came in

73:44

written by your PR department. They want

73:46

to know when you do your charity work uh

73:50

or your innovation as a founder, are you

73:52

more,

73:53

>> you know, at this stage in your career,

73:55

you're known for both of these things.

73:57

Are you more Steve Jobs or more Lorraine

73:59

Pal right now? What your PR department

74:01

worked very very deep question they f

74:04

the best decision I ever made the best

74:07

when I started Salesforce we put 1% of

74:10

our equity 1% of our profit and 1% of

74:13

all of our employees time into a

74:14

foundation. Today we've done more than

74:17

10 million hours of volunteerism. We've

74:19

given away more than a billion dollars

74:21

in grants

74:22

>> and we run over 50,000 nonprofits for

74:24

free on our platform. That's just

74:27

Salesforce.

74:28

Every I every company should do this.

74:30

It's amazing. Pledge11%.org.

74:33

That's my advertisement for the show.

74:35

>> Everybody should jump on the 111

74:37

platform. Best decision I ever made 27

74:39

years ago. Irrespective I've obviously

74:41

done a huge amount of personal

74:43

philanthropy to five hospital.

74:46

>> You did one that was really I think

74:48

personal. Uh Susan Wjeki tragically died

74:51

of cancer and major.

74:52

>> You're going to get me crying. Let's not

74:54

go there. This is not your time.

74:57

My best friend. Bestie. My bestie.

74:59

>> She was a special person, huh?

75:00

>> She's a star.

75:01

>> The best. She was the best.

75:03

>> Just I mean,

75:04

>> I'm not kidding. You're I'm not kidding.

75:06

>> Tell the audience what was so unique

75:08

about Susan. Tell tell them what you're

75:10

It's a good time to do a remembrance.

75:12

>> She This was one of the great people on

75:15

the planet. Incredible woman. Mother of

75:18

five amazing children. Um, and uh, two

75:22

amazing sisters, great family. Uh,

75:25

everybody knows Ann, her sister, her

75:27

sister Janet at UCSF. Um, sorry, my eyes

75:30

are tearing up, but I'll just tell you

75:32

that, you know, she contracted a very

75:34

rare form of cancer, passed away too

75:37

young a couple years ago now. Um, and

75:41

she was on our board. She was one of the

75:43

great people of all time. I'm so

75:45

grateful that her family is focusing on

75:47

building a new foundation to go after

75:50

this rare cancer. Uh we're backing it. I

75:52

think everybody should. Um look,

75:54

everyone should try to be a Susan. She

75:56

was one of the absolute greats and uh I

75:59

have an altar in my office. When you

76:01

come to see me, you'll see with the

76:02

photos of her and me and I think of her

76:05

every single day. And uh my heart just

76:09

stays with her, her husband Dennis, all

76:11

the children, the sisters, the wholeiki

76:14

family. Amazing. And one of the great

76:16

institutions in Silicon Valley. We're

76:18

lucky to have the whole family.

76:19

>> Yeah, she was fantastic.

76:21

>> Well said.

76:21

>> All right. Well said. Rest in peace,

76:23

Susan Waki.

76:24

>> Thank you.

76:24

>> All right. We'll see you all next time

76:26

on the podcast. Love you boys.

76:28

>> See you guys. Aloha. Thanks for Bye-bye.

Interactive Summary

The podcast features a discussion on the Trump-Xi summit, with a focus on geopolitical and economic relations, including the role of US CEOs in trade negotiations. The panel explores the potential for economic cooperation, the strategic importance of chips, and the shifting dynamics around Taiwan. Additionally, Salesforce CEO Marc Benioff discusses the 'SaaS apocalypse,' the integration of AI into enterprise software, and the importance of philanthropic initiatives.

Suggested questions

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