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Intel Jumps on AI Demand Forecast, Asia's Nuclear Power Renaissance | Bloomberg Daybreak: Asia...

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Intel Jumps on AI Demand Forecast, Asia's Nuclear Power Renaissance | Bloomberg Daybreak: Asia...

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0:00

[music]

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Bloomberg Audio Studios podcasts radio

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news.

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[music]

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Welcome to the Daybreak Asia podcast.

0:13

I'm Doug Krner. Much of the price action

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that we are seeing in global equity

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markets is being driven [music] by big

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tech earnings. After the bell in the

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states, Intel delivered a surprisingly

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strong forecast for revenue in the

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current quarter. This would seem to

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underscore the gains Intel has been

0:29

making with data center customers. Now,

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for the last quarter, sales for the data

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center segment soared 59%.

0:37

Intel's central processing units are

0:39

clearly in high demand for AI computing.

0:42

Here is Bloomberg's Ed Lello. The

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>> the market is a situation where CPU

0:46

specifically is taking off for Intel. a

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lot of their topline performance uh is

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answered by that and in the quarter gone

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you know that unit's growing 59% double

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what it the rest of the business is

0:58

growing at. So they have found their

1:00

place in that market but what they're

1:02

battling to do is improve their own

1:04

operations their own foundaries and

1:06

their own processes so they can get the

1:08

CPU product that people actually want

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out there into the real world.

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>> That was Bloomberg's Ed Ledllo. Now

1:14

shares in Intel had been up by as much

1:16

as 12% in late US trading. The stock

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closed higher by 3% at the end of the

1:21

late US session. Now in regular trading

1:24

in the states, there were some concerns

1:26

about overspending on capex. That was

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after Alphabet and Tesla raised their

1:31

spending forecast. Some analysts were

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saying there are still nagging questions

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about what the return on investment will

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be. Shares in Alphabet were down 7%.

1:41

Tesla tumbled 14%. For an overall look

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at tech, we had the chance to catch up

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with Dan Ies. Dan is a partner and

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senior managing director at Yorkville

1:50

Ives. He spoke with Bloomberg TV host

1:53

Heidi Strad Watson. Cherion.

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>> So, does this give enough of that

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catalyst that we'll continue to see the

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justification for how much spending is

2:01

being poured into the space?

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>> Yeah. I mean, look, it's validation. I

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mean, if you look at what we saw with

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Alphabet in terms of the capex and now

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you look at Intel, you piece it

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together, this is showing this AI

2:14

revolution and we're just starting in

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terms of this next growth frontier. I

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think that's what investors want to see

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across the board and you're starting to

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see it now from Intel.

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This is a market that given the amount

2:30

of volatility that we've seen, clearly

2:31

investors are chasing for that next

2:33

catalyst, the next justification, the

2:35

next support level, right? Do we

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continue to see the volatility play out?

2:41

>> You're going to continue to see the

2:42

volatility play out. But when you think

2:45

about where the data center build is and

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in terms of what's ultimately going to

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be physical AI and just more and more of

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a data center spending, I mean, you're

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going to have what call three to four

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trillion dollars being spent. You're

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only about 15% through and that's how

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you have names like Intel doing what

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they're doing. But you piece it together

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with what we see from Alphabet, with

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what we see across tech. And I think

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this is it sets the tone for what we're

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going to see in earning season over the

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next few weeks.

3:16

>> Which ones are you watching closely

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right now?

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>> I think look, it's the rest of the

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hyperscalers because you got to see how

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Microsoft and Amazon ultimately in terms

3:26

of that cloud growth. I think that's one

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of the best barometers

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relative to that. what we see, look, we

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saw it in Alphabet, but now you got to

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see it in Microsoft as well as Amazon

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because that pieces together what we're

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ultimately going to see across tech.

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Look, it it speaks to our view. This is

3:46

a true fourth industrial revolution

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playing out and we're just in the early

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stages of it and the earning season just

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further validates what we're seeing

3:55

across the board where the enterprise

3:57

spend is.

4:00

>> Expectations are so high though. I mean

4:01

the way that Alphabet is trading despite

4:03

the results, what sort of metrics will

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you be watching to see how stocks also

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move and is that a clear reflection or

4:10

the appropriate reflection of their

4:13

strength?

4:15

>> You know, it's a great question. I think

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right now the issue is you're in between

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capex and monetization stage, but if you

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saw Alphabet, I mean that the cloud

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growth was phenomenal. And now it all

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comes down to investors. Where's the

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patience? You see that with a name like

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Tesla versus do you start to see the

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monetization in Meta, in Microsoft, in

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the rest of software earnings, in

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infrastructure. I think that's what

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investors are focused on because what

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Intel is showing you the spending is

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there and that's that's ultimately I

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think when you look at names like

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Nvidia, you go down the semifood chain,

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it's a positive for broader tech. Now it

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comes down to your between the capbacks

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and the monetization. Patience is

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obviously an issue for investors, but

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when you put up the numbers, investors

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are going to reward it.

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>> We're going to see more reward when it

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comes to the AI names outside of these

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top markets. Are you perhaps more

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compelled by the opportunities in China

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given the developments in Moonshot and

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what looks like a pretty rapid closing

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of that AI gap?

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>> Yeah, look, this is a two- horse race

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between the US and China. And the

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reality is when it comes to robotics,

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China's leading. When it comes to power,

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they're leading. When you see on the on

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when it comes to open source, what we

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see on the models, that gap's going to

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continue to narrow. I think for China

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now, it's really what you want to see in

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terms of the use cases relative to big

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tech playing out within China. But it's

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our view. You can't just play the US

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China market. You you you have to also

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think about where this is. What's the

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ripple effect? It's going to be Middle

5:56

East. It's going to be India. But right

5:59

now, it's US and China that are at the

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top of the mountain. And you're seeing

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continued competition, which is good for

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ultimately for investors.

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>> How difficult might the regulatory

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environment become? We've had another

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case this week of uh potentially AI

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going ary, right? When it comes to open

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AI,

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is this going to become more of an issue

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for politicians worldwide? and will we

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see these sort of regulatory curbs when

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it comes to the technology and and the

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scale?

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>> I think that's going to be front and

6:33

center. It's going to be a clear

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political issue when it comes to the

6:36

midterms data center buildout. You see

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the moratorum in New York, you know,

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from from Hokll, some of the stuff that

6:43

we're seeing across the United States.

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You'll see it in China as well in terms

6:47

on the models. This is going to be a

6:49

tugof- warar. But again, the problem is

6:51

when politicians get involved in

6:54

technology, that's not a good formula

6:57

because you stop innovation. And I think

6:59

that's this is going to be the balance

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that will continue to play out across

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tech, whether it's in the US or China.

7:10

When it comes to politicians getting

7:11

involved, we've seen sort of a different

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picture across Asia where governments

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are really putting very heavy investment

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sort of an industrial policy towards

7:20

artificial intelligence toward

7:21

semiconductors as well especially across

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South Korea for example. Um what does

7:26

this mean in terms of competition among

7:29

economies and some of these players as

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well? A lot of these government uh

7:34

related projects are to do with Samsung

7:36

SKH Highix for example.

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>> Look, I mean Korea I think is almost the

7:41

poster child. What you see there, you

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see it from the government down to

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obviously the memory boom. Go back a few

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years ago. I mean the Korean market was

7:50

you was not going to be front and center

7:53

relative to where it is today. You're

7:54

going to see other countries I think

7:56

take that lead. the the private public

8:00

partnerships are going to be extremely

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important because this is an arms race

8:04

that's happening globally. It's US,

8:06

China. But when it comes to memory, you

8:08

look what Korea's done. And I think many

8:10

other countries are looking to say,

8:12

okay, how did they No country wants to

8:14

watch the AI revolution from the stands.

8:18

They don't want to watch it from the

8:19

outside in. And I think that right now

8:22

is sort of the balance that we're seeing

8:24

play out across time. That was Dan Ies,

8:26

partner and senior managing director at

8:28

Yorkville Ives, speaking with Bloomberg

8:30

TV host Heidi Strad Watts and Sheron,

8:33

bringing you their conversation here on

8:35

the Daybreak Asia [music] podcast.

8:44

[music]

8:45

Welcome back to the Daybreak Asia

8:47

podcast. I'm Doug Krer. It has been

8:49

frequently stated that energy is the

8:52

biggest constraint to the buildout of

8:54

global AI. Many countries are turning to

8:56

nuclear power as a way of addressing it.

8:59

Perhaps nowhere better reflects that

9:01

push than in Asia and especially Japan.

9:04

We had a chance to speak with Nouo

9:06

Tanaka. Nabouo is executive director

9:09

emmeritus at the International Energy

9:12

Agency. He spoke with Bloomberg's

9:14

Sherion. We were talking a little bit

9:16

about the difference on how much nuclear

9:18

energy proliferation has accelerated or

9:21

that push across Asia. How does this

9:23

differ from the western countries?

9:25

>> Well, thank [snorts] you for inviting me

9:26

Sherry. Uh the Asian countries need

9:29

energy and electricity to make the

9:32

economic growth and Asia is a growth

9:35

center. So certainly Asian needs the

9:38

very sustainable model of of the uh

9:40

electricity and for that sake nuclear

9:43

will be a very important part of the

9:46

their portfolio. Uh electrification is a

9:49

key element of reducing dependency of

9:52

oil and gas from Middle East. So they

9:54

are urged to do this electrification and

9:58

nuclear small module reactor

9:59

particularly will play a very important

10:01

role but they have to learn from Japan's

10:04

mistaken Fukushima for example.

10:06

>> I want to get there but first of all let

10:08

me ask about what's happening globally

10:11

as well when it comes to this awareness

10:13

of the need of nuclear [clears throat]

10:15

power in the energy mix given of course

10:18

all of the geopolitical upheavalss that

10:19

we've seen the past few years. Yeah,

10:21

because thanks to the you know current

10:24

uh climate change mitigation, current

10:27

economic issue, energy security issue,

10:30

nuclear focus is very much uh in the

10:33

center of the discussion of the energy

10:35

policy. Germany may change their policy

10:38

against nuclear tomorrow in favor. The

10:40

prime minister decid I mean announced

10:42

that and Asia it needs the kind of

10:45

policy of very safe nuclear as well as

10:49

affordable nuclear for that I am

10:51

strongly urging Asian country particular

10:54

Assean should take a coordinated

10:56

position of the nuclear model if they

10:59

have the similar model and standardized

11:02

model of the nuclear the cost will be

11:05

smaller because you can you can make a

11:08

coalition or purchase and procurement

11:11

will push the provider to reduce the

11:14

price and at the same time regulatory

11:17

framework could be similar right if all

11:20

the countries of Asan has the same

11:22

reactor the regulatory framework should

11:24

be same so then you can keep the safer

11:27

model of the nuclear power so I urge

11:30

Assean countries has now connecting each

11:33

other by Asian super grid and by that

11:36

that you have to make a kind of sense of

11:39

where to locate a nuclear plant in the

11:41

best mix of the nuc energy sources and I

11:45

think this is a great opportunity the

11:47

asan can make a difference

11:48

>> you mentioned small modular reactors

11:50

SMRs how big of a game changer are they

11:53

>> ah this is going to be interesting

11:55

because small modular reactor can be a

11:57

dedicated power for the data center or

12:00

AI generation so it's not connected to

12:04

the grid but used for particularly to

12:07

the industry for the heat or

12:09

particularly for the data centers. So I

12:11

think and also the small mod reactors

12:14

best point is that it's the safety and

12:17

the reduce the risk of accident and

12:21

emergency planning zone of SML can be

12:24

contained within the plant that means

12:27

you don't have the evacuation plan for

12:30

the surrounding population. This will

12:32

give a much better public acceptance of

12:35

the reactor and the design of the small

12:38

module reactor could can fit to the

12:40

local needs right data center needs or

12:43

more backup to the renewables or

12:46

security issues. So I think public local

12:50

people can accept small modular reactor

12:53

much better than the large reactor which

12:56

serve to the urban areas but not

12:58

themselves. They're only sharing the

13:00

risk. That is the reason why the

13:04

negative reaction happens to the from

13:06

the host community.

13:07

>> I mean you mentioned what happened in

13:09

Fukushima. We have three mile islands as

13:10

well. We have Chernobyl as well and we

13:12

have nuclear generation electricity

13:14

actually having since the 1990s or so.

13:18

>> Um are we seeing that change mentality

13:20

now given the need? Yeah, I think

13:23

because of uh the accident certainly the

13:26

caution about the safety increases but

13:29

at the same time if the data center

13:32

needs such amount of huge electricity

13:35

sustain I mean in a way uh the

13:37

decarbonized power nuclear is the only

13:39

answer. So public acceptance to the

13:42

nuclear especially the Middle East

13:44

situation Ukraine situation it increase

13:46

dramatically. So this is a great

13:48

opportunity if the governments put the

13:52

right incentives or right regulatory

13:54

framework or collaboration among the

13:57

countries then I think nuclear may have

13:59

a very good future.

14:00

>> Are you seeing any moves towards that? I

14:02

think so because the governments are

14:04

talking about the nuclear collaboration.

14:07

For example, Korea wants to do more

14:09

collaboration with Japan for developing

14:11

the sustainable nuclear model for the

14:14

future and selling together to the

14:16

global community. I think US has a very

14:19

interesting model of sustainable nuclear

14:21

which I promote integral fast react. can

14:24

take care of the waste radioactive waste

14:27

and safety uh uh requirement is very

14:30

good and also proliferation resistant

14:33

because of the nuclear war threat is

14:36

everywhere. We have to have a technology

14:39

which is resistant for the proliferation

14:41

risk

14:42

>> when it comes to building that sort of

14:44

nuclear ecosystem. Who do you think

14:45

across Asia is doing it? Well, Asia is

14:48

the best place to test that kind of

14:51

model because Asia is a very growth

14:54

center of economy and they have

14:57

experienced a very risk of the energy

15:00

security from the Middle East oil, gas

15:04

etc. And also it can be a very good

15:07

peaceful arrangement of the Assean can

15:11

show that the nuclear can play a very

15:14

important role of their alliance and

15:16

coalition and the peaceful use of the

15:19

energy for the future. So I really want

15:22

that asan will carefully take close look

15:26

what kind of models of SMLS available.

15:29

It is growing in many countries not yet

15:32

established but there are many different

15:33

types. So I think Assean should take a

15:36

good uh study of uh the models as well

15:40

as I think asan country should learn

15:42

from our mistakes in Fukushima. It is a

15:45

human error.

15:46

>> Human error you can learn from our

15:49

mistakes and then avoid the risks of

15:52

accident. That kind of you know

15:54

wellprepared

15:56

policy of ASEAN can make an AEAN Asia as

16:00

a center of the future sustainable

16:03

nuclear.

16:04

>> That was Nibouot Tanaka executive

16:06

director ammeritus at the international

16:08

energy agency speaking with Bloomberg TV

16:11

host Sheran bringing you their

16:13

conversation here on the Daybreak Asia

16:15

podcast.

16:18

Thanks for listening to today's episode

16:20

of the Bloomberg Daybreak Asia Edition

16:23

podcast. Each weekday, we look at the

16:25

stories shaping markets, [music]

16:26

finance, and geopolitics in the

16:28

Asia-Pacific. You can find us on Apple,

16:31

Spotify, the Bloomberg Podcast YouTube

16:33

channel, or anywhere else you listen.

16:35

[music] Join us again tomorrow for

16:37

insight on the market moves from Hong

16:39

Kong to Singapore and Australia. I'm

16:42

Doug Krissner [music] and this is

16:44

Bloomberg.

Interactive Summary

The Daybreak Asia podcast discusses the impact of recent big tech earnings on global equity markets, highlighting Intel's strong data center performance and its role in AI computing. Analysts explore the balance between heavy infrastructure spending (capex) and future monetization, the US-China AI rivalry, and the emerging role of nuclear energy, particularly Small Modular Reactors (SMRs), as a sustainable power solution to meet the energy demands of growing AI infrastructure.

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