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Nvidia Fuels Bets on AI Trade | Bloomberg Businessweek

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This is Bloomberg Business Week Daily,

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0:32

>> Today's trade all about Nvidia shares

0:36

were up by more than 8.7%. It had more

0:38

than $440 billion in market cap just

0:41

today.

0:42

>> That's incredible.

0:42

>> Like yesterday we talked to the CEO of

0:44

of Lamb Research. Okay.

0:45

>> Right. Right.

0:46

>> It's a big company.

0:47

>> Yep.

0:47

>> $400 billion in total market cap.

0:50

>> So what does it tell you?

0:51

>> Like well that's a question that Mandy

0:53

Singh is going to answer for us.

0:54

Salesforce shares also having their best

0:55

day in 6 years up more than 22 and a2%.

0:58

Mandy Singh is Bloomberg Intelligence

1:00

global head of technology research. He

1:01

joins us here in the Bloomberg

1:03

Interactive Brokers Studio. Wow. So I'm

1:06

going to pose the question to you that I

1:07

posed to Ian in the 2:00 hour and it's

1:10

something that uh Elizabeth on our team

1:12

pointed out earlier today. Uh the

1:15

postmarket reaction from the company's

1:18

stock versus what the stock did after

1:22

the call. a huge delta there. Why was

1:25

that?

1:25

>> I mean, that 70% number that they gave

1:28

for 2027 and their fiscal 2028 is what

1:32

drove all that optimism.

1:34

>> So, should we just ignore everything

1:36

about Nvidia numbers on an earnings day

1:38

until we hear from the CFO on the call?

1:40

>> Well, they don't normally give a future

1:42

one-year guide. So this was sort of uh

1:46

an aberration in terms of how they

1:48

guided uh in the second quarter but look

1:51

that's where uh they have the visibility

1:54

and also the supply commitments that

1:56

they have made you know it was up almost

1:58

$160 billion to their suppliers. So this

2:02

is your memory makers, your TSMC, they

2:06

have committed this much so that their

2:08

suppliers can expand capacity and still

2:12

they feel the demand is almost like 100%

2:15

but they are guiding for 70% and they

2:18

can't meet that demand.

2:19

>> So this is going beyond the

2:20

hyperscalers.

2:21

>> This is absolutely going beyond the

2:23

hyperscalers. And look with uh

2:26

hyperscalers we've seen the capex

2:29

expectations have gone up because of

2:31

what you know Microsoft said and what

2:33

Google said on their earnings call and

2:36

what they said was not only is the

2:38

upside coming from Neoclouds and these

2:41

new players which you alluded to SpaceX

2:44

could be huge in terms of you know the

2:46

hundred billion that they have added to

2:48

their guide for 2027. I mean this

2:51

company could do $650 billion in data

2:55

center revenue next year in 2027. So a

2:59

lot of that upside is coming from the

3:01

likes of SpaceX hyperscalers raising

3:04

their capex and neoclouds and that's

3:06

what they want. They want a much bigger

3:08

ecosystem of buyers of their chips.

3:11

We're getting more just superlatives

3:13

coming as the market closes and Ian King

3:15

writing that Nvidia's sales forecast

3:18

sends shares on its biggest rally going

3:20

back to 2025. I'm wondering about the

3:23

mode man deep and how deep Nvidia's mode

3:26

is when it comes to its semiconductor

3:28

technology.

3:30

I mean look, there is no doubt they have

3:32

competition and Google TPUs is the best

3:35

example that a custom ASIC is very

3:38

effective both in training and inference

3:41

workloads.

3:41

>> Okay, you're going to have to explain a

3:43

little bit of the jargon.

3:45

>> So training versus inference, right? We

3:47

I think a lot of people understand what

3:48

that is, but in terms of what Google's

3:51

TPU is doing versus what Nvidia's core

3:54

product does. the Google TPU which is in

3:56

its ninth generation they've been uh

3:59

creating this custom chip to run first

4:02

the search workloads and then the AI

4:04

workloads and Enthropic has used this

4:07

chip for both training their LLM and

4:09

Entropic is the best frontier LLM right

4:12

now so they didn't train on Nvidia

4:14

they've used Google TPUs for training

4:17

they've used Amazon tranium and Google

4:20

TPUs for inferencing workloads and now

4:23

they have started to use Nvidia IA

4:24

chips, but so far your best LLM has not

4:28

used Nvidia chips. And so even then

4:32

Nvidia continues to do so much better

4:35

every year partly because of you know

4:38

what they have done with regards to the

4:39

ecosystem they have created the neocloud

4:42

base that they have where the likes of

4:44

Corv Nibius these companies are growing

4:47

faster than your hyperscalers which are

4:49

growing fast as well. So because this

4:53

pie is so big and these LLM companies

4:56

have shown the revenue had it not been

4:58

for Enthropic reaching an ARR of 65

5:01

billion and you know going public soon

5:05

this would not have been possible. But

5:07

the fact that LLM companies have shown

5:09

the revenue has allowed these chip

5:11

companies like Nvidia and Broadcom to

5:13

say okay we can guide for you know next

5:17

year because the LLM companies want the

5:21

gigawatt capacity and so that's where

5:23

the revenues have enabled these

5:25

companies to really maintain this pace

5:28

of growth and so far uh you know the LLM

5:31

companies haven't disappointed now once

5:33

anthropic goes public and we learn about

5:35

their margins and Open AAI's margins and

5:38

if they're burning a lot of cash that

5:40

story could change then people may not

5:42

be willing to fund this you know at

5:44

unlimited pace but for now uh it sounds

5:48

like everyone is looking at the growth

5:50

uh that they are able to generate from

5:53

AI and then that's why the

5:55

infrastructure players who are the

5:56

beneficiaries of the capex continue to

5:58

do well.

5:59

>> Well you're talking about the growth all

6:00

the numbers that you were spitting out

6:02

to me. Um, at that same time, this is

6:04

the time that they're they're hiking the

6:05

prices for the servers. So, do companies

6:08

not care? Are they just going to pay the

6:09

price and and and move on? So, Nvidia

6:12

did guide to lower margins and so they

6:14

are absorbing some of the higher memory

6:17

costs. They are passing uh some of the

6:19

costs as well to their customers. So,

6:21

you're right, you know, there will be a

6:23

margin impact uh to companies that are

6:25

buying these servers and we will see

6:28

that in their margins over time. But for

6:30

now, AI has become an imperative for

6:33

every boardroom and there's no choice. I

6:36

>> I don't know. Um at that same time, um

6:39

the China market, it's something we've

6:41

been all talking about. How important is

6:42

it to Nvidia? Is that the key for their

6:45

future growth?

6:46

>> I mean, in this quarter, clearly, uh

6:49

China was very little in terms of the

6:51

revenue contribution and even in the

6:53

guide, it didn't sound like uh they're

6:55

really depending too much on China. So

6:58

that's where a new hyperscaler like

7:01

SpaceX is really making a ton of

7:04

difference and SpaceX is talking about

7:06

100 billion in ARR by the end of the

7:08

year. So they are talking big in terms

7:10

of ramping up capacity and they want to

7:13

be that compute provider that uses

7:15

Nvidia exclusively. So that's where I I

7:19

think uh it's not really about China at

7:21

this point of time but I just wonder in

7:24

2028 now they have guided for 2027 the

7:28

numbers would be so high that

7:31

maintaining this kind of growth rate

7:32

even doubledigit growth rate will become

7:35

tough for Nvidia at some point but they

7:38

keep pushing that out and that's where

7:39

you know the fact that everyone is going

7:42

all in in terms of their capex spend is

7:44

what's enabling them to maintain this

7:46

pace of growth.

7:47

Should we talk a little bit about

7:48

Salesforce?

7:49

>> No, it's not just Nvidia. It's

7:50

>> not just [laughter] uh Salesforce

7:52

jumping the most since 2020. It it was

7:54

actually like uh August of of 2020, the

7:57

last time the stock was up at least this

7:59

much today. Uh this after it gave an

8:02

outlook for strong revenue expansion,

8:03

deepening its partnership with

8:04

Anthropic. This is a really interesting

8:07

one because we talked to Brody Ford

8:08

earlier and I thought it was notable

8:10

that you had Mark Beni off sitting side

8:12

by side with Dario Amade of of Anthropic

8:14

because this is the company that is

8:16

supposed to be anthropic that is the

8:18

threat to the software as a service

8:21

companies and like Salesforce is the

8:23

poster child for that. What what did you

8:26

think of of this anthropic Salesforce

8:28

deal?

8:29

>> I mean to my mind Salesforce up until

8:32

last quarter kept touting their AI

8:34

products. the fact that they have their

8:36

agent force and you know they want to

8:38

upsell that. So clearly they seem to

8:41

have deviated from you know uh really uh

8:45

trying to upsell their own AI and now

8:47

this uh partnership with Enthropic to me

8:50

suggests that they are okay with

8:53

Enthropic taking you know the AI and the

8:56

analytics piece but they want to remain

8:58

the system of record because that's the

9:01

sticky part of their business. But

9:02

there's no doubt that Salesforce is

9:04

losing that upsell that they were able

9:07

to do uh to their customer base. So I

9:09

wouldn't get too excited. Really?

9:11

>> Yes. Because at the end of the day, it

9:13

it it wasn't worthy of a 22% stock move

9:17

if you ask me.

9:18

>> You think this is overdone?

9:19

>> Well, it was overdone before in terms

9:21

of, you know, the SAS apocalypse and how

9:23

much the market had reacted and how the

9:25

positioning had become. So from that

9:28

perspective, it it was more like

9:30

overdone before. And now this 22% move

9:33

is more of a reflection that look this

9:35

company still has a very sticky business

9:37

and uh it by partnering with Enthropic

9:41

some of the near-term risk around

9:43

complete displacements have gone away

9:44

and they are able to retain their

9:46

customer base.

9:47

>> So you talk partnering what about

9:48

acquisitions? Um anything else on the

9:50

horizon for them? We know they acquired

9:51

uh Finn back in what June.

9:53

>> Yeah I mean the only company that can do

9:55

acquisitions right now is Nvidia. We

9:57

heard rumor about them buying hugging

9:59

face for 13 billion and they look they

10:02

have the cash they will generate $200

10:04

billion in cash. So they can do back

10:07

stops they can finance neo clouds they

10:10

can do acquisitions and that's what has

10:12

changed in terms of earlier it used to

10:14

be all software companies doing

10:16

acquisitions and now it's uh your

10:18

semiconductors and your chipmakers doing

10:20

acquisitions.

10:22

>> Okay. What about Crowd Strike? Shares of

10:23

Crowd Strike jumped the most in over two

10:25

years on this Outlook beat. you in a do

10:28

you still cover you still cover all of

10:29

these companies.

10:30

>> I I I have a team thankfully that helps

10:32

me out but

10:33

>> we're going we're going [laughter] to

10:34

we're going to every company in the

10:35

NASDAQ composite with Mande. This is

10:38

interesting though the company projected

10:39

revenue for the full year that exceeded

10:40

analyst estimates evidence that the

10:42

cyber security industry continues to

10:44

benefit from AI fueled demand. Still

10:46

this this was a surprise to some folks

10:49

evidenced by the reaction in the stock.

10:51

Yeah, I think all these companies

10:52

whether it was PaloAlto Networks,

10:55

Crowdstrike, Octa, they said Mythos and

10:58

you know the some of the latest LLM

11:00

releases have created so much fear,

11:03

>> paranoia,

11:04

>> paranoia in the minds of all the CIOS

11:06

and CISOs that they want to figure out

11:09

what vulnerabilities they have in their

11:11

software and

11:12

>> but are these companies effective in

11:14

protecting companies from

11:16

>> I think it's too early to say that but

11:18

for now the enterprise plays is let's

11:21

boost our security uh posture and you

11:24

know make sure we don't get uh hacked by

11:26

one of these uh hackers using LLM to you

11:29

know penetrate your defenses and and so

11:32

that's what's driving I think a lot and

11:34

look the agentic AI is also a driver so

11:38

as enterprises roll out agents they need

11:41

to secure their agents so that's where

11:43

they're seeing some benefit as well

11:44

>> mandep we needed this thank you mandep

11:47

>> at all

11:47

>> bloomberg intelligence global head of

11:49

technology research joining us here in

11:50

our Bloomberg Interactive Brokers

11:52

studio. He can do it all. Check out his

11:54

research on the Bloomberg terminal and

11:56

his entire team's research on the

11:58

Bloomberg Terminal.

12:00

Stay with [music] us. More from

12:01

Bloomberg Business Week Daily coming up

12:03

after this.

12:07

>> You're listening to the Bloomberg

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Catch us live weekday afternoons from

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12:21

>> Well, we continue our coverage of Meta's

12:23

landmark deal with State Attorneys

12:24

General across the US in which the

12:26

company agreed to pay up to $18 billion

12:28

and implement design changes such as

12:30

limiting the amount of time users under

12:32

18 can spend scrolling on its apps.

12:35

Here's California Attorney General Rob

12:37

Bont and West Virginia Attorney General

12:39

JB McCuskkey speaking on this deal

12:43

yesterday on Bloomberg.

12:45

>> This is a major breakthrough because

12:47

when it comes to protecting our

12:49

children's mental health, there is no

12:52

time to lose.

12:52

>> It has always been our goal to make sure

12:55

that every platform protects children in

12:57

the same way that Meta is going to be

12:59

protecting children. That was California

13:01

Attorney General Rob Monta and West

13:03

Virginia Attorney General JB McCusky

13:05

speaking on the Bloomberg yesterday.

13:08

This news really got us thinking again

13:10

about the Emmy and DuPont award-winning

13:11

documentary can't look away the dangers

13:13

of social media. It follows a team of

13:15

lawyers taking on tech giants advocating

13:18

for families whose children have been

13:20

deeply impacted by social media. The

13:22

original reporting of Bloomberg News

13:24

investigative reporter Olivia Carville

13:25

is throughout the film. Back with us is

13:28

the co-producer and co-director of Can't

13:30

Look Away: The Case against Social

13:32

Media, Matthew O'Neal. Matthew, good to

13:34

have you back on the program. We thought

13:35

of you a lot yesterday.

13:37

>> Glad glad to be back here. I think I've

13:38

been hearing from people all over the

13:40

country and the world with that

13:41

settlement because it resonates so much

13:42

with the themes in Can't look away.

13:44

>> Well, what was your reaction when you

13:46

first heard about the settlement? the

13:48

most I mean obviously the headline of

13:50

$17 billion seems like a lot but the

13:54

real meat of this settlement are the

13:56

changes that are being made by Meta as

13:59

part of the terms of the settlement. I

14:00

mean, if you look at a lot of the

14:02

allegations that the families were

14:04

making in Can't Look Away, that endless

14:06

scrolling uh caused their children to be

14:09

addicted, that the companies were doing

14:11

this on purpose, you know, these are

14:14

things that again, Meta admitted no

14:16

wrongdoing, but these are elements that

14:18

are going to be changed on the product

14:21

as part of the settlement, which is

14:22

incredible.

14:23

>> Well, where does Meta go from here?

14:24

Because we talk about the guardrails,

14:25

right? They're going to be setting up

14:26

some guardrails. Um, but how do

14:28

companies how are they able to find out

14:29

the actual na the age of kids because

14:32

kids are savvy. I mean let's let's be

14:34

real. They can kind of get around

14:35

different things. So how what's Meta's

14:37

kind of thought process as they go

14:38

through this?

14:38

>> Well, I can't speak for Meta, but I can

14:40

see for what the terms of the settlement

14:41

are. Yeah. In in terms of they've

14:43

committed to having an essentially an

14:45

inspector general of sorts that is going

14:46

to look into this and using more cutting

14:49

edge technology to root out and identify

14:52

what 13year-old like which users are

14:55

actually underage. It's one of the

14:56

points we made often talking about the

14:58

film is that if they can figure out that

15:00

I need a lawn mower or want to be

15:02

advertised for to ro about ro gain they

15:05

can figure out the age of their

15:07

consumers right and so they're being

15:10

held to that yeah good [laughter] um

15:12

>> ensuring I want to read from a statement

15:15

from Meta uh quote ensuring teens have a

15:17

safe and productive experience on our

15:19

platforms is an absolute imperative for

15:21

Meta we want to get this right for

15:23

parents and teens the company said this

15:24

in a statement yesterday uh after news

15:27

reports emerged of this uh settlement or

15:29

what's going on with the state attorneys

15:31

general. I I'm wondering, Matthew, if

15:33

you think you spent so much time with

15:36

these families, you've spent so much

15:38

time understanding what they've gone

15:41

through. If this is enough,

15:44

I don't think that for the loss that

15:46

these families endured, often uh the

15:49

death of a child, there can never be

15:51

enough. But uh having spoken with some

15:54

of the families since the settlement,

15:56

there is some solve in this in that

15:58

their story, they're speaking out,

16:00

they're being part of Can't Look Away,

16:01

part of multiple lawsuits, talking to

16:03

the AGs, being part of this movement

16:06

really that has led to change. Their

16:08

children's stories are going to make

16:10

other children safer. And this is a huge

16:13

step forward in this because critical in

16:16

this the statements that used to come

16:17

from Meta and the other social media

16:19

companies always put the onus onto

16:21

parents what they can do offering them

16:24

products that were designed to be safer

16:26

for teens. This settlement really puts

16:29

the onus back onto the company where the

16:31

responsibility uh will lie with the

16:34

maker of the product as opposed to the

16:36

user.

16:36

>> Well, since you mentioned that, I'm

16:37

going to go there. Um these changes are

16:39

going to take some time. So, what can

16:41

parents do in in the meantime to to

16:43

protect their kids? I know you have a

16:45

couple documents, too, that go along

16:46

with the with the the film that you

16:48

have.

16:48

>> Well, shameless plug. If you watch Can't

16:50

Look Away, there is a a watching guide

16:53

and it's in in front of the payw wall on

16:54

the Bloomberg site so that anyone can

16:56

access it and anyone can access the

16:58

talking points guide to watch it with

16:59

their children. I just had a friend

17:01

yesterday who bought his daughter a

17:03

phone and said that one of the

17:04

requirements was she's entering 8th

17:06

grade was that she sit with uh he and

17:08

his wife and watch can't look away and

17:10

they had use those documents to have a

17:12

conversation about it because talking to

17:14

your kids about what exists and what is

17:17

possible on these platforms is really

17:20

really important and I hate to as I'm

17:22

saying don't put the onus on parents I'm

17:24

saying parents here's something you can

17:25

do I believe that these uh platforms

17:28

need to be held responsible posible meta

17:30

is now being forced to take a step in

17:32

that direction. What's interesting about

17:34

the lawsuit is that it also there's

17:36

incentives that if the other social

17:37

media uh platforms also settle those

17:41

protections for children become even

17:43

more stringent uh and there's an

17:45

increase in the amount of money that's

17:46

paid. So that this really could be the

17:49

beginning of a shift for all the social

17:51

media companies.

17:52

>> You say it's the beginning, it could be

17:53

the beginning of a shift. What does the

17:55

shift ultimately look like from your

17:57

view? Well, I think it changes the way

18:00

that the companies rely strictly on

18:04

engagement of children. They're being

18:06

held responsible. It's the same thing

18:07

that goes back to the tobacco

18:10

settlement, of which many people have

18:11

made analogies for the big tobacco

18:13

settlement in the 1990s. It's not a

18:15

perfectly uh fair analogy, but one of

18:18

the things alleged in that lawsuit by

18:20

the attorneys general was that the

18:22

product was designed to addict people.

18:24

And that's what was happening with

18:25

tobacco. It was designed to have the

18:27

maximum capacity to get young people

18:30

addicted, to get you addicted. Adults

18:32

can make that decision with open eyes.

18:33

Children can't. That's also part of

18:35

this. You know, these products are being

18:37

designed to addict children. And now

18:40

these companies, specifically Meta, will

18:42

be held accountable. And it really

18:45

really I'm hopeful will be the beginning

18:47

of a sea change.

18:48

>> Now, this is going to be happening for

18:49

us um for you people in the US who use

18:52

um the product. So, what about

18:53

internationally? I mean, did you cover

18:54

any of that in the film? what's going on

18:56

around the world. Like you look at

18:57

Australia, they tried to ban it and it

18:59

it just didn't seem it's not doesn't

19:01

seem to work very well.

19:02

>> There have been a series of different

19:03

legislative moves all around the world

19:05

in the United Kingdom, in Australia, not

19:08

yet successfully here in the United

19:09

States, although there has been movement

19:11

in Congress and bipartisan uh movement.

19:13

It's one of those few areas where uh

19:15

both parties agree there needs to be

19:17

change. Um, however, this is a in the

19:21

end a financial incentive in their

19:23

largest market, the United States. So,

19:26

that is likely to lead to design

19:29

changes. I I certainly hope it does for

19:31

children all around the world. Uh before

19:34

we let you go, um I'm just curious about

19:37

if you're working on any sort of

19:38

followup, if other projects that are are

19:41

relevant to this right now. Very

19:42

briefly, [snorts]

19:43

>> the changing role of technology in

19:45

children's lives is going to be the most

19:48

urgent issue that we face. Uh and it's

19:51

not just about social media. uh you

19:53

cover the big AI companies all the time

19:56

and we want to be telling stories that

19:59

help make sure that technology is

20:02

responsible uh in the way it's designed

20:04

so that children can use it safely.

20:06

>> That's Matthew O'Neal. He's co-producer

20:07

and co-director of Can't Look A, the

20:09

Case against Social Media. He joins us

20:11

here in New York. If you are interested

20:13

in seeing the film and looking at the

20:15

supplemental materials too, you can do

20:16

that at bloomberg.com.

20:18

bloomberg.com/features.

20:20

That's bloomberg.com/features.

20:24

>> Stay with us. More from Bloomberg

20:25

BusinessWeek Daily coming up after this.

20:32

You're listening to the Bloomberg

20:34

[music] Business Week Daily podcast.

20:36

Catch us live weekday afternoons from

20:38

2:00 to 5:00 Eastern. Listen on Apple

20:40

CarPlay and Android Auto with the

20:42

Bloomberg Business App or watch us live

20:44

on YouTube.

20:47

>> Well, last month S&P Global posted

20:48

quarterly results. They fell short of

20:50

analyst average estimate uh hurt by

20:52

factors including the US Iran war making

20:54

it harder to boost pricing on contracts

20:56

for its energy data news and analysis

20:58

unit. At the same time though revenue

21:00

from the firm's ratings business rose

21:02

17%. Revenue from its indexes business

21:05

its indices business was up 20%

21:07

year-over-year. That sets a little bit

21:09

of the stage for this edition of the CFO

21:11

briefing. And for that we welcome Eric

21:13

Abwaf CFO and EVP of S&P Global. the

21:17

more than 130 billion dollar market cap

21:19

financial information services firm. You

21:21

know it for its credit ratings,

21:23

benchmarks, and of course the indices.

21:25

Also the leader of our CFO coverage,

21:27

Nina Trendman. She's Bloomberg News

21:29

senior editor and editor of the CFO

21:30

briefing newsletter. You can subscribe

21:31

to it if you don't already at

21:33

bloomberg.com/cfo-briefing.

21:35

A big welcome to both of you. Eric, I

21:38

want to start with you. um your CFO,

21:40

your CEO rather, uh Martina said last

21:42

month that you expect $250 billion to

21:45

$300 billion in debt issuance this year

21:47

from hyperscalers or large tech

21:49

companies expanding AI capabilities. I

21:51

mean, we're talking about Nvidia today

21:53

and the impact on the trade. I'm curious

21:56

if we have any visibility beyond this

21:58

year into 2027, 28, 29,30 as we're

22:01

hearing from some of these companies.

22:03

What are you hearing?

22:04

>> We're hearing a number of scenarios,

22:06

right? scenarios that are at about the

22:07

same level, some higher, some a lot

22:09

higher, right? And that's what uh you

22:12

know, keeps uh you know, investors uh

22:14

excited. Um but over time, you know,

22:16

we'll we'll see. In a way, as a CFO, you

22:19

know, my job is preparation, right?

22:21

Preparation for those upsides,

22:22

preparation to be there for our clients,

22:25

preparation to make sure that our

22:26

ratings teams are ready with

22:27

methodologies that uh that they've

22:29

designed independently and uh and then

22:32

uh supporting them as they go. to follow

22:35

up maybe um the the AI related borrowing

22:38

that we've seen in in recent quarters of

22:40

course has smashed our records like how

22:42

far does S&P see a growing credit risk

22:45

at some point

22:46

>> you know it's uh it's hard to tell and

22:48

and in fact what we do is we help

22:50

provide benchmarks and transparency to

22:52

the industry right think about the $45

22:54

billion uh $45 trillion of debt that we

22:57

uh rate each year right that gives uh

23:00

investors all the way from retail all

23:02

the way to the biggest institutionals an

23:04

ability to really understand what is

23:06

going on in the uh the space both with

23:08

the hyperscalers the project finance

23:10

they're doing the data center uh builds

23:12

and in a way you know that's our

23:13

business to create that transparency

23:15

that insight and uh and over time that

23:18

uh that gives them the tools to make

23:19

better decisions you know forecasting

23:21

the future is not what we do right we

23:23

try to help folks interpret what's going

23:25

on today what to extrapolate what to

23:27

explore what to think about as upsides

23:29

and downsides and help them take it from

23:31

there with the most trusted and you know

23:33

uh valuable uh data that we have.

23:37

>> Yeah, I guess we we're all curious to

23:39

see what the future might hold.

23:41

[laughter]

23:42

>> We got I guess we have to ask the

23:43

eightball again, you know, we don't

23:45

know. None of us know. Go ahead.

23:47

>> If we all still have jobs in three years

23:49

time, [laughter] who knows? Who knows?

23:50

>> The robots will be doing this.

23:51

>> Um you made also significant significant

23:53

changes to the to portfolio. Um the

23:56

company recently spun out its automotive

23:58

business. So I'm curious talk to us

24:00

about the considerations for that change

24:01

and also is there more portfolio work

24:03

that you're expecting at this point?

24:05

>> Yeah, we've been we've been clear that

24:07

we're done with uh transformational M&A,

24:09

right? We uh we felt as we had navigated

24:12

the last uh this goes back two years,

24:14

you know, that we had one area the uh

24:16

the the auto data mobility business that

24:20

wasn't as core to what we do. It didn't

24:22

integrate with some of our other

24:23

benchmark businesses, you know, ratings,

24:24

indices, uh market data, energy. uh it

24:28

had different client bases, right? And

24:30

so it wasn't as as core to [snorts] to

24:32

uh uh to the rest of the company in some

24:34

ways was going to be more successful on

24:35

its own. So uh you know, we spent uh oh

24:39

15 months carving it out. That's a lot

24:40

of work from a finance and CFO

24:42

standpoint, but legal comms, all the

24:44

other uh the people team uh help help

24:46

with that work. And uh finally on July

24:49

1, we uh we spun it out uh and it's been

24:52

a success. So we're we're real pleased.

24:53

And uh you know, now we feel like we're

24:55

we're on our way. and they're on their

24:56

way too.

24:57

>> Thinking about the IPO markets this

24:59

year, do you regret in hindsight that

25:01

you didn't choose the route of a of an

25:03

IPO?

25:04

>> No, I think the the the the most natural

25:08

way to uh to separate a unit is actually

25:10

to spin because what we do is

25:12

effectively hand over the shares

25:14

literally the paper electronic shares to

25:16

our existing shareholders and they can

25:18

choose what to do with it, right? And we

25:19

didn't need the capital. We're a capital

25:21

rich company. We we create enormous

25:23

amount of capital. we've just upsized

25:25

our buyback. We've got uh we've got all

25:27

the capital we need. And this was about

25:29

doing the best thing we could for our

25:30

shareholders, which is giving them the

25:32

right to choose.

25:33

>> Well, a couple things you've talked

25:34

about um you've talked about M&A

25:35

activity, uh hyperscaler issuance,

25:37

refinancing, they've all supported

25:39

ratings. So, the question is how durable

25:41

is that?

25:42

>> You know, we see a lot of opportunity uh

25:45

ahead of us. If you look at what we call

25:47

the refinancing walls, right? the amount

25:49

the trillions of debt that we expect to

25:52

refinance out of that 45 billion it's

25:54

quite high. It's at some of the highest

25:56

levels that we've seen over the last few

25:58

years. And so there's really a couple

26:00

features. One is core economic growth

26:02

creates a need for debt and issuance and

26:04

uh rated issuance which is what we

26:06

provide. And part of it is you have a

26:08

natural refinancing that's going on. And

26:10

then that's supplemented by the ongoing

26:12

M&A activity. We're in a period where

26:14

we've got large M&A backlogs, lots of

26:16

announced M&A, and so that's playing

26:17

out. And we also have uh uh um the uh

26:21

the hyperscalers coming through as well.

26:23

But each one of those is a different

26:24

sector. You know, we have global,

26:27

[snorts]

26:27

local, uh governments, uh mortgage back

26:31

securities. We have a wide range. We

26:33

have leverage loans. We do both public

26:35

and private debt. So in some ways what

26:37

we're trying to do is be there in all

26:39

the the market uh segments and actually

26:42

uh help support those clients around the

26:44

uh uh around across all those.

26:47

>> We're speaking with Eric Abwa the chief

26:50

financial officer over at S&P Global and

26:52

Nina Treadman. She is Bloomberg News

26:54

senior editor and CFO briefing editor.

26:56

[laughter]

26:57

>> Thank you. Um just wondering thinking

26:59

about AI. It's one of the topics that

27:01

comes up in pretty much all of the

27:02

conversations for CFO briefing um that

27:04

we have these days. talk to us a little

27:06

bit about how you're using it in the

27:08

business and also how you're um thinking

27:10

about ROI which seems to be the biggest

27:13

challenges um that the CFOs are facing

27:15

at this point.

27:16

>> Sure. AI is really an accelerant for us

27:19

and primarily on the uh client and

27:21

revenue side, right? First, we've been

27:22

building AI functionality into our

27:25

products so that as clients access the

27:27

benchmarks and the vast amount of data

27:29

that we have, they do it through a set

27:30

of interfaces that they're uh

27:32

increasingly uh moving towards. Uh so we

27:35

we do it in uh within our products and

27:37

across all of our different products.

27:38

There are different kinds of AI

27:40

functionality that we're rolling out.

27:41

We're also connecting directly with our

27:44

clients in their uh uh uh technology

27:48

suites where they are uh tackling and

27:51

adopting the LMS, the frontier models,

27:54

the open source models that that range

27:56

and we're plugging directly into them.

27:58

We've uh we've signed up on a kind of

28:00

intercomp basis 500 of those clients.

28:03

they're using AI more and more and so in

28:05

a way it's a way for them to uh access

28:08

or trusted data right just in a

28:11

different way historically they

28:12

sometimes used it uh you know directly

28:14

through you know some interface that

28:16

they used to over time through APIs

28:19

right so which is uh computer-to

28:21

computer uh connections and now through

28:23

LMS and so in our minds it's just

28:24

another access point either through our

28:27

own uh uh products and services or

28:29

through the uh you know the new uh

28:31

avenues that are open to Eric, we just

28:33

had this fascinating conversation with

28:35

Jack Manley over at JP Morgan Asset

28:36

Management, and a key question that we

28:38

posed to him that everybody's trying to

28:40

figure out is productivity as a result

28:42

of these tools. Is there a way that as

28:44

CFO over at S&P, you've you've been able

28:46

to quantify the ROI that you're getting

28:49

from these tools, like how much you're

28:51

spending and how much it's giving you?

28:53

>> Yeah. On the on the revenue side, what

28:55

we're seeing is higher retention rates.

28:57

Okay. uh higher larger pipelines, more

29:00

usage, which over time comes back into

29:03

our uh our our pricing structures and

29:06

our economic value that we offer to to

29:08

clients. So, we're we're seeing that

29:10

kind of activity that can then that can

29:12

give us the information for ROI. And on

29:15

the productivity side, there's a whole

29:16

set of areas that we're rolling out uh

29:19

AI internally to do what we do more

29:22

efficiently. And those in particular are

29:24

very well uh um measured because in a

29:26

way what what we want to do is just make

29:28

sure that we're putting AI in the in the

29:30

in the best use cases where we can

29:32

actually get those uh those returns.

29:33

>> Uh what customers what are they what are

29:35

they willing to pay more for uh today?

29:38

>> I think customers are willing to uh pay

29:40

more for what is most unique and not

29:44

accessible generally on the web. Right?

29:46

Our data is all within our ecosystem,

29:49

right? it's behind a set of walls. And

29:51

even clients that want our data through

29:53

LMS and AI tools, it needs to be

29:56

permissioned, right? They need to have a

29:57

direct link and account with us so that

30:00

they can uh take advantage and uh and

30:03

benefit from our data much like they do

30:04

through the other uh venues that they

30:06

source. And what we found is you know

30:08

the first step is we're encouraging

30:10

usage because usage begets value and

30:13

value begets over time product service

30:17

uh expansion you know broader set of uh

30:20

uh services that they're buying for us

30:22

and some uh product lines there's direct

30:24

uh uh um offerings of AI ready data

30:28

that's that's curated and populated and

30:31

and designed in a way that makes it very

30:34

uh fil

30:36

uh large language models to uh uh to

30:38

benefit from. In other areas, it's part

30:40

of the core service, but over time, as

30:42

we renew with clients, we come back to

30:45

them and play back to them, hey, here's

30:46

how you're using our data. Here's how

30:48

you're using our data through AI. As you

30:50

use more of our data, let's have a a

30:52

thoughtful conversation about how you

30:53

benefit and how we should benefit. And

30:55

so, it comes through uh over time as

30:57

well.

30:57

>> Coming back to the cost part of the

30:59

conversation, um we know that companies

31:01

across the US have found out that AI is

31:03

actually more expensive than they

31:04

thought. many of them blowing through

31:06

their budgets um through half through

31:08

halfway through the year. How are you

31:09

managing token costs?

31:11

>> Well, you know, the the heart of the CFO

31:13

job is measurement, right? Because

31:15

measurement and information and uh what

31:17

we call sunlight is a wonderful uh

31:20

enhancement into what's really going on.

31:22

And so we've got quite a bit of uh uh

31:24

information that we've been building

31:26

around the usage of of AI, the token

31:29

usage, the token usage by division, by

31:31

product, uh by our clients, by us. And

31:35

then as we roll out AI tools internally,

31:37

whether it's to our software developers

31:38

who are able to add uh and develop

31:41

software code and add product feature

31:43

functionality, we're measuring how much

31:45

more effective they are, right? As well

31:48

as the uh the amount of token usage. So

31:50

to us it's a it's it's like other

31:52

investments. It's a it's something you

31:53

measure, monitor, uh refine, adjust,

31:57

right? Because that is the heart of what

31:58

a CFO does.

31:59

>> And it's going to be a conversation that

32:01

we're going to continue to be asking

32:02

people like you about because this is

32:04

what it is all about right now, Eric

32:06

Abwaf, CFO and EVP of S&P Global.

32:09

Joining us here, also the leader of our

32:11

CFO coverage, Nina Treadman. She's

32:13

Bloomberg News senior editor. She's

32:15

editor of the CFO briefing newsletter.

32:17

Check it out at

32:18

bloomberg.com/cfo-briefing

32:21

if you are not already a subscriber.

32:25

>> Stay with [music] us. More from

32:26

Bloomberg BusinessWeek Daily coming up

32:28

after this. [music]

32:32

You're listening to the Bloomberg

32:34

Business Week Daily podcast. Catch us

32:36

live weekday afternoons from 2:00 to

32:38

5:00 Eastern. Listen on Apple CarPlay

32:40

and Android Auto with the Bloomberg

32:42

[music] Business App or watch us live on

32:45

YouTube.

32:46

>> [music]

32:47

>> Lisa, we spent a lot of time in recent

32:49

days talking about trade and tariffs as

32:50

it relates to the US and Canada.

32:52

>> Yeah. Yeah. Most definitely. And

32:53

especially because all the different

32:54

products and who's being affected like

32:55

those small businesses too.

32:57

>> Yeah. We cannot forget about the big one

32:58

though and that's China and the

33:00

relationship between the US and China.

33:01

The latest is that China said it would

33:03

monitor US actions related to tariffs

33:05

for alleged overcapacity and may take

33:08

counter measures underscoring lingering

33:10

friction despite a trade truce. Patrick

33:12

Pan, closely attuned to trade policy

33:15

between the US and China. He is joining

33:17

us here in the Bloomberg Interactive

33:19

Brokers Studio. He's global head of

33:21

marketing at XLAB. XLAB is the consumer

33:25

bike company that comes from XDS

33:28

International. Now, Patrick, even though

33:30

people haven't heard of XDS

33:32

International, unless they're in the

33:33

bike industry, they've probably ridden a

33:36

bike that's been made by XDS

33:38

International. Before we get to what you

33:40

guys are doing over at XLAB, can you

33:42

explain the contract manufacturing for

33:44

carbon fiber frames that XDS manu that

33:46

XDS International has done for decades

33:49

in Shenzen?

33:49

>> Yeah, XDS intern XDS as a whole as a

33:52

company started uh in 1995 and began

33:55

modestly with wheels manufacturing and

33:58

seat post manufacturing and then built

34:00

on a vertically integrated manufacturing

34:02

ecosystem from then on. eventually built

34:05

its own carbon fiber facilities in I

34:07

think 2005 2006. Uh as you've said it

34:11

it's since been a massive OEM for a lot

34:14

of the big brands that people have heard

34:15

of. Um a lot of the brands that are in

34:16

the world tour. Uh it I believe by

34:20

volume it is now the largest bicycle

34:22

manufacturer in the world and about a

34:25

year and a half ago it was decided that

34:27

now there is a a lot of the conditions

34:29

are appropriate for its in-house brand

34:32

XLAB to be to be born.

34:33

>> Okay. So, yeah, I want to explain a

34:35

little bit about this because this

34:36

didn't actually get on my radar until a

34:38

few months ago when I walked into a bike

34:40

shop in Brooklyn. I had just bought a

34:42

brand new bike. I was there uh getting

34:44

fitted for the bike. A friend of mine

34:47

manages the shop, and he said, "Hey,

34:49

before we jump on your bike, come check

34:51

this bike out. He takes me over to one

34:53

of the the top-of-the-line XLAB bikes,

34:55

shows it to me, and he says, "Guess how

34:57

much this thing costs?" And it's like

34:59

$7,000, which sounds like a lot of

35:02

money.

35:02

>> Mhm. But for a bike that comes with

35:05

top-of- the-line components, it's so

35:06

much cheaper than you would get from

35:08

like

35:08

>> So, how much do they go for normally?

35:10

>> 13.

35:11

>> Yeah. A bike of that caliber with those

35:13

specs would be around the 12, 13,

35:15

$14,000 range.

35:16

>> So, here's the thing that I don't

35:18

understand.

35:19

Does this cannibalize the XLAB or the

35:23

XDS business? Like why is a company that

35:27

uses XDS International to manufacture

35:30

its carbon frames okay with you guys

35:35

undercutting

35:37

their core business?

35:39

It's an interesting question. I think

35:40

that there there are two layers to this,

35:42

right? First is the fact is, you know,

35:44

we've we've put a lot of work into

35:46

building a world-class OEM business. And

35:49

so that model itself is highly

35:51

competitive from a quality perspective,

35:53

from a cost perspective, and there's

35:55

very little incentive for a brand who's

35:58

already working with XTS to not because

36:00

I think the the cost of switching would

36:02

be significant. Um, the other side of

36:04

this is I think we're assuming that the

36:07

cycling industry is a finite pie.

36:10

There's much more merit to say, look, a

36:13

lot of people can ride bikes. Most of

36:15

them are not buying bicycles. Why is

36:17

that? There's a misalignment in the

36:19

addressable market for who can ride

36:21

bikes versus who is actively

36:22

participating in the industry. If we

36:24

assume that we're always pushing towards

36:26

the tip of the pyramid, like you said,

36:28

right? It's we keep chasing better specs

36:31

naturally means higher prices. If we

36:34

keep pushing towards that tip, we're

36:36

sort of disregarding a massive

36:38

opportunity for new riders to enter. If

36:41

we can be the ones to change that

36:43

equation and start bringing in more

36:45

riders, then we're not going to be

36:47

taking away from competitors. We're

36:49

going to be growing the pie for

36:50

everybody as well, right?

36:51

>> I mean, the prices you're talking about,

36:52

it's crazy. Like, I'm thinking I go for

36:54

like a huffy. I mean, [laughter]

36:56

>> it's an insane hobby. Yeah. Cheaper than

36:58

golf, I would But I'm curious because

37:00

you had mentioned you you kind of

37:01

touched upon this a little bit how the

37:02

company is coming out now and you said

37:04

the the timing is right. So what makes

37:07

that timing right? Why now?

37:09

>> A number of things. I think because XTS

37:11

has now at this point

37:14

built a massive in-house R&D uh

37:17

capability that has since been able to

37:19

find out what are some of the best ways

37:21

to improve upon bikes. The other side of

37:23

this is, you know, going into the

37:25

pandemic, I should say, and I know Sam's

37:27

very well aware of this. Going into the

37:29

pandemic, a lot of uh people started

37:31

riding bikes, maybe picking it up for

37:33

the first time since they were a kid. Uh

37:35

the conditions were apt and so bike

37:37

brands started placing a lot of orders

37:39

for new inventory. uh when the market

37:42

corrected itself, a lot of the dealers

37:45

and the bike shops like the one in

37:46

Brooklyn that Tim goes to, uh were

37:49

probably left holding the bag with a lot

37:50

of excess inventory that they can't

37:52

necessarily move like and this was a

37:54

massive imbalance and XTS was no, you

37:57

know, stranger to that. We were some

38:00

some brands had placed massive orders

38:01

that they they cannot fulfill. So, we

38:04

were left with a lot of stuff

38:06

essentially. And so with all that excess

38:09

capacity, we thought, well, okay, these

38:11

can all be great bikes. Let's just let's

38:13

just do it. Let's just turn all of this

38:15

expertise into a genuine line of

38:17

performance bikes that we can do

38:18

ourselves. You know, the brand brand

38:20

name is big in the bike industry. Um,

38:23

and and certainly folks who watch the

38:24

tour def France this year saw the XDX

38:27

Aana team in the tour riding these

38:29

bikes, but I'm curious how you build.

38:31

You're you're in charge of marketing.

38:32

you're in charge of communicating to

38:35

customers and potential customers. How

38:37

do how do you get somebody to trust this

38:40

this brand name when for years they've

38:43

been, you know, with one of the big

38:45

American firms?

38:46

>> Sure. You know, I think a lot of times,

38:49

you know, people that are in the

38:51

industry are already aware that most of

38:54

the brand names that they know and trust

38:56

are made either in our factory or in a

38:59

similar factory.

39:00

>> People are aware of that in general. I

39:02

think those that are deeply embedded in

39:03

the industry are. I don't know if the

39:04

average consumer is,

39:05

>> right? That's what I mean.

39:06

>> But realistically, you know, at this

39:08

there really isn't anybody that's better

39:09

at carbon fiber than China is right now.

39:11

And among that group, right, the XTS

39:14

crop, I think, is quite top of the line.

39:17

So realistically, I think people are now

39:20

more and more understanding that if you

39:23

are chasing a quality build, a quality

39:26

bike, it is conceivable that the entire

39:29

thing is coming from China. And with

39:31

that assumption, then it's just about

39:33

the label that's on the down tube and

39:35

and I think people are, you know, aware

39:37

of that, too.

39:38

>> So, how do you come about with the price

39:39

if it's so much significantly lower? Um,

39:42

and then you're taking on these tariffs

39:43

at the at the same time, how do you keep

39:45

it at that price? Are are you absorbing

39:47

the cost or,

39:48

>> you know, when when tariffs as they have

39:50

been somewhat volatile, right, in in in

39:52

this past year? Uh, we we have been able

39:55

to absorb it. A lot of this, the merit

39:58

comes from the fact that we own the

40:00

entire manufacturing end to end. And so

40:03

this is as early as the raw spools of

40:06

carbon fiber being woven into sheets

40:08

that then become the frames with the

40:10

molds. Uh, and then all the way through

40:12

the paint shop. You know, when I say

40:14

vertically integrated, it's quite

40:15

literal. It's one building. First floor

40:16

is this, second floor, you know, all the

40:17

way up to the paint shop. So it's

40:20

surprising I think once you have all of

40:22

those pieces in house what that means

40:26

for the inefficiencies of having too

40:28

many suppliers layered on and this in

40:31

essence gives us a pretty strong control

40:34

over the entire cost structure and so

40:37

coming into this now our goal is to make

40:39

sure we can pass some of that efficiency

40:42

to the consumer and also equally

40:44

important is passing that on to the

40:45

dealerships as well. Patrick, we only

40:47

have about 30 seconds left, but we're

40:49

Bloomberg. We want numbers. We want

40:50

metrics. What can you tell us about

40:52

growth of the business, sales growth,

40:54

and and in terms of revenue and and what

40:56

you're seeing in this early stage?

40:57

>> When Next Lab launched in April this

40:59

year, you know, we were projecting well

41:02

some number that is significantly lower

41:03

than what we are right now. Um, I would

41:06

not be able to share hard numbers, but

41:09

we essentially 5xed the initial forecast

41:12

for coming into the US and we expect the

41:14

same as we launch into uh other major

41:17

markets in the coming year.

41:18

>> Patrick Pan, he's global head of

41:20

marketing at XLAB.

41:23

>> This is the Bloomberg Business Week

41:25

Daily podcast available on Apple,

41:28

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41:31

podcasts. Listen live weekday afternoons

41:34

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41:36

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41:39

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41:41

You can also watch us live every weekday

41:43

on YouTube and always on the Bloomberg

41:46

terminal. [music]

Interactive Summary

The podcast covers recent market performance, focusing on Nvidia's significant rally driven by data center demand and aggressive AI infrastructure spending. Mandy Singh from Bloomberg Intelligence provides insights into the semiconductor landscape, the role of custom chips, and the sustainability of current AI-driven growth. The episode also features a segment on Meta's legal settlement regarding teen safety on its platforms, featuring producer Matthew O'Neal, and a discussion on financial services with S&P Global CFO Eric Abwaf. Finally, Patrick Pan of XLAB explains how the company is leveraging its vertically integrated manufacturing to compete in the high-performance bicycle market.

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