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Asian Stocks Ease from Record Highs, Computex 2026 | Bloomberg Daybreak: Asia Edition

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Asian Stocks Ease from Record Highs, Computex 2026 | Bloomberg Daybreak: Asia Edition

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433 segments

0:00

[music]

0:02

Bloomberg Audio Studios podcasts radio

0:06

news.

0:11

Welcome to the [music] Daybreak Asia

0:13

podcast. I'm Charlie Pallet. Doug Krer

0:15

has the day off. Asian shares eased from

0:18

records. Oil held gains as efforts to

0:20

revive a peace deal with showed little

0:23

progress. Even as the AIdriven rally

0:26

continues to propel equities to records,

0:28

financial markets have been whipssawed

0:30

by geopolitical headlines after an

0:33

escalation in Middle East hostilities

0:35

jeopardized peace negotiations. For more

0:38

on the markets, we heard from William

0:40

Cells, global CIO at HSBC private bank

0:44

and Premier Wealth, and he spoke to

0:46

Bloomberg TV hosts Paul Allen and Heidi

0:49

Strad Watts.

0:50

>> I want to start off on that tech theme.

0:53

I mean your most recent report talks

0:55

about the importance of investing in an

0:57

AIled future but if we drill into that

0:59

what does that mean specifically? Are

1:00

you buying chip makers? Are you buying

1:02

ASML energy stocks? All of the above or

1:04

is there something else in there that uh

1:07

that investors should be looking at?

1:10

>> All of the above. um you know we need to

1:12

invest in in that um you know the the

1:15

ecosystem um which is of course um AI

1:18

chip makers but also the enablers as

1:21

well as the adopters but I think it's

1:23

very important to try to at least have a

1:26

little bit of sector diversification and

1:28

style diversification by also going to

1:30

the rest of the ecosystem which feeds

1:32

that i.e. the energy um the energy

1:35

security theme. The reason why we call

1:37

it energy security is of course because

1:39

of the conflict and even the Russia

1:41

Ukraine war as well. We saw that um you

1:44

know countries want to invest in um that

1:46

energy independence and of course the

1:48

demand for energy is further enhanced um

1:50

you know by AI. Um so that's important

1:53

um because so much of the economy and of

1:55

earnings is driven by AI that you don't

1:57

just want to be in one single sector.

2:00

Uh just getting back to that all of the

2:02

above theme, we we heard from Jensen

2:04

Huang yesterday. He was talking about

2:06

software companies and how they won't go

2:08

out of business because of AI. He said

2:10

it's actually an incredible time to be a

2:12

software company. Do you buy into that

2:15

narrative?

2:17

>> Well, we see that for example in the

2:18

hiring as well. So amongst economists

2:20

there's a lot of discussion as to

2:21

whether um um you know people will be

2:24

laid off at this point in time. there's

2:26

actually a lot of demand um you know for

2:28

software developers for consultants as

2:30

well who can install that AI into um you

2:33

know into the corporate sector. I think

2:35

within the software business it's very

2:36

very important to try to to

2:38

differentiate. There are indeed some

2:39

businesses that don't have the modes

2:42

that don't have the competitive

2:43

advantage visa vi but there's a lot of

2:45

them that are very well integrated with

2:47

their clients that have a lot of

2:48

proprietary data and therefore it's very

2:51

difficult to push those out of business.

2:52

They are going to do very well. They

2:54

they need to be integrated and they can

2:56

be enhanced as well um in their

2:59

capabilities by AI. They're not just a

3:01

potential casualty. they can also

3:03

benefit um you know from that AI to make

3:05

their software more powerful.

3:08

>> But there's obviously a huge wave of AI

3:11

and big tech IPOs and deals that are

3:14

almost upon us. We've had Anthropic

3:17

having that first mover for IPO Edge by

3:19

filing first, OpenAI to come. We had the

3:22

big fundraising from Alphabet and Google

3:24

overnight as well. Uh and SpaceX, how

3:27

much interest do you think there's going

3:29

to be when it comes to your clients? uh

3:32

for being able to get access to these

3:34

deals.

3:36

Yeah, there will certainly be interest

3:38

but I think there is a lot of

3:39

speculation in the market about whether

3:41

this would hurt the index overall

3:43

because of sort of a supply um you know

3:45

effect vacuum cleaner uh effect as some

3:48

call it um you know historically these

3:50

the impact on the market tends to be

3:52

very very small if you look back at very

3:54

important uh IPOs also it's important to

3:57

look at the free float right um you know

3:59

which is a which is a small uh section I

4:01

think a lot of those companies have a

4:04

different risk profile

4:05

um you know than the Magnificent 7. So

4:07

it's not necessarily a one for one um

4:09

you know and and and comparable. So

4:11

people won't necessarily take money out

4:13

of those Magnificent 7 or other stocks

4:15

uh to go to go into that. Um so I think

4:19

the the the AI will need to be driven

4:21

higher by those earnings. So as long as

4:24

you believe as we do that more and more

4:26

companies are installing that more and

4:28

more consumers are um using it that uh

4:32

companies are monetizing it um you know

4:34

through subscription advertising and

4:36

others um you know that that earnings

4:39

tailwind um you know will continue to

4:41

drive up um you know the sector

4:45

>> there is that risk in terms of being

4:47

first to tap the market that that test

4:49

of particularly the US market for for

4:51

depth for liquidity for the investor

4:54

appetite that you allude to and I'm sure

4:57

that's the case when it comes to Asian

4:59

investors as well, right? Do you think

5:01

in the short or medium-term there is

5:02

that risk that some of that

5:05

[clears throat] interest will get sucked

5:06

out of other assets and other names and

5:08

should we prepare for some volatility?

5:12

>> So, I think there's still a lot of um

5:14

liquidity on the sidelines. I think the

5:15

initial IPL will uh will not be big

5:18

enough or um to to to drain the

5:22

liquidity out of the market and the

5:23

question is obviously do you get

5:24

secondary um you know deals as well and

5:27

more um of of of those stocks coming to

5:29

the market that free float um increasing

5:31

but I think there is that liquidity in

5:33

the equity market there's the liquidity

5:35

in the bond market as well but one thing

5:37

that I would say is that of course we

5:39

can't just talk about the tailwind of AI

5:42

we also still have the the cyclical

5:44

headwind wind from the uncertainty

5:46

around um you know the Middle East. What

5:48

I think that will do is lead to market

5:51

to market volatility not an equity

5:53

market correction but we have to be

5:54

fully prepared for um you know the odd

5:58

inflation or growth number um or

6:01

illustrations from companies that their

6:02

supply chains are being interrupted um

6:05

to lead to some mark to market

6:06

volatility. we are at with the treasury

6:09

at a level where um you know what we

6:11

call the danger zone where um that that

6:14

that treasury level when you get more

6:16

volatility that then feeds through into

6:18

equity market volatility. So people need

6:19

to prepare for that but they need to be

6:21

continue to be exposed to the market

6:23

upside and how do you balance those two

6:26

things well by building resilient

6:28

portfolios with gold with treasuries

6:30

with hedge funds with alternative assets

6:32

and by trying to have some sector

6:34

diversification as well.

6:37

You mentioned a few volatility factors

6:40

there. I want to inject one more

6:41

potential risk to this bull run. Where

6:43

do you place the chances of a Fed rate

6:45

hike before the end of the year?

6:48

>> Uh we don't have a Fed rate hike pencled

6:51

in and to some extent that is um because

6:54

uh in in the US um the um you know

6:57

natural gas prices for example have gone

6:59

up much much less than in Europe. So the

7:01

effect that you see around the world is

7:03

is is differentiated. Um the other thing

7:06

obviously is that the Fed looks at both

7:08

um inflation and net growth. So at in in

7:10

our view you don't get that Fed rate

7:12

hike. Um and that obviously to some

7:14

extent is an anchor for markets if we're

7:16

right about that. Um and probably one of

7:19

the things that that that that helps the

7:21

market have that resilience as well that

7:23

we see um at this current stage. William

7:26

Cells, global CIO at HSBC private bank

7:29

and Premier Wealth, speaking to

7:31

Bloomberg TV hosts Heidi Strong Watts

7:33

and Paul Allen. Up next, we'll take you

7:36

to Taipei where Computex 2026 is

7:39

underway. That's coming up on the

7:42

Daybreak Asia podcast.

7:52

[music] Welcome back to the Daybreak

7:54

Asia podcast. I'm Charlie Pellet. Doug

7:56

Krner has the day off. We take you to

7:59

Taipei where Computex 2026 is underway.

8:03

It is Asia's largest tech showcase. CEOs

8:06

from the world's leading technology

8:08

companies are gathering to discuss the

8:10

outlook for AI, robotics, and chips.

8:13

This is where we had the chance to speak

8:14

to Craig McDonald, ABB Robotics business

8:18

line managing director, Robot

8:19

Industries, and he spoke to Bloomberg

8:21

Steven Angel. So, how is AI being

8:24

infused? I mean, Jensen Wong and

8:26

everyone else here from Qualcomm CEO all

8:29

talking about agentic AI as the next new

8:32

springboard for the adoption and

8:34

investment and profitability of AI. How

8:36

is agentic AI being infused into a

8:39

traditional industrial tool like you

8:42

have that's been around since the 1970s?

8:45

>> How is it being improved?

8:46

>> So, I mean ABB started uh in robotics in

8:50

1974. I think we we were the first to

8:52

introduce the microprocessor controls

8:55

into the robotic space. Um, and over the

8:58

the next 50 years, we've come up with a

9:00

very wide range of industrial,

9:03

collaborative, and mobile robots. Um,

9:06

and we spent probably the last 20 years

9:08

evolving that system now into robots

9:11

that can operate more autonomously and

9:14

versat in a more versatile manner. So,

9:17

think of robots with intelligent eyes. I

9:20

think of robots with with a with with

9:22

hands and ability to manipulate and also

9:25

think of robots uh that now have a

9:26

brain. But these are evolving to a point

9:29

where ultimately um simulation becomes

9:33

more and more important because you're

9:35

merging so many different technologies.

9:37

The ability to create hyperrealistic

9:40

synthetic data to recreate these

9:43

environments is truly bringing these

9:45

technologies together and is really the

9:47

next step that we're working on. So how

9:50

are you then as well partnering with

9:51

Nvidia because Nvidia stole all the

9:53

headlines yesterday no doubt with their

9:55

new laptop to take on the likes of Intel

9:58

and AMD but of course we all know that

9:59

they have the orchestra architecture to

10:01

go into those big data centers uh and

10:04

they have the new infrastructure with

10:06

Vera Rubin in full production right now

10:08

but you also use Nvidia in a way to sort

10:12

of virtually uh game out a scenario for

10:15

a client virtually so they don't have

10:18

necessarily have a physical prototype.

10:20

Tell us about that.

10:21

>> Yeah, so if you look up until now,

10:24

synthetic data generation hasn't been

10:26

accurate enough for robotics. Um, many

10:29

of these applications are 50 to 60%

10:32

accurate. And when it comes to systems

10:34

that need to operate safely at speed and

10:37

at scale in an industrial hardened

10:39

environment, it hasn't been achievable.

10:41

Um over the last uh year and a bit and

10:44

we announced in March our collaboration

10:46

with Nvidia, we've really merged their

10:49

capabilities in accelerated compute and

10:51

their abilities with wide world

10:54

simulation with our industrial

10:56

knowledge, our digital twin capability

10:58

and of of course our robotics to address

11:02

the sim to real gap.

11:04

>> Yeah. And uh in a number of uh

11:06

applications most notably in the

11:08

electronic space we managed to shrink

11:10

that syntoreal gap to to a very very

11:14

close correlation. So we can with a 99%

11:18

accuracy now recreate robot motion in

11:22

the virtual space when compared to the

11:24

real space.

11:25

>> So what kind of cost savings are we

11:26

talking about and also more importantly

11:28

perhaps is time to market.

11:30

>> Oh absolutely. I mean you can now

11:32

reimagine how you bring product to

11:33

market. So think if you're sitting in

11:35

Taiwan right now, you're designing a

11:37

product here, you're having to apply it

11:39

in China, apply it in India, apply it in

11:42

Vietnam. Um you need to be able to in a

11:45

concurrent way generate those production

11:48

systems, but also train them for all

11:50

these manufacturing edge cases so that

11:53

you can then concurrently engineer

11:55

taking probably about 50% out of your

11:58

time to market. uh but also at the same

12:01

time take about 40% of your total cost

12:04

out because from day one you pre-train

12:06

for all those manufacturing edge cases

12:09

so you can hit productivity much more

12:11

earlier than traditional systems. So

12:13

through this or just the big uptick

12:16

obviously in physical AI, how are new

12:18

installations for you guys looking this

12:20

year?

12:21

>> I mean it's the electronic space

12:23

specifically is going through a super

12:26

cycle. I I think there's there's been a

12:29

lot of activity on the consumer

12:30

electronics side. Uh but also more

12:32

recently um the the AI compute side has

12:36

got to volume levels that have justified

12:39

robotization. Many of these systems up

12:41

until now were only partially automated

12:44

because of the lower volumes compared to

12:46

the consumer electronics. But I think

12:48

you've all seen the headlines on data

12:50

centers and how that market is growing

12:51

exponentially and with that comes the

12:53

robotization of that space. What's your

12:55

strategy for China? Because they have

12:57

their own infrastructure and their own

13:00

indigenous innovation in robotics. Uh

13:03

yes, I I've seen a lot of automobile

13:04

factories with ABB robots. No doubt

13:06

they're going dark factories and the

13:08

like. But again, I think the cost basis

13:10

because of their stem to stern supply

13:12

chain is about 40% of what I mean,

13:15

you're at the high end really ABB. But

13:17

what is your strategy for China as they

13:20

go up the value chain on their

13:22

industrialization?

13:22

>> Oh, absolutely. I I think China is is

13:25

50% of the world's robot market if you

13:27

look at the IFR data. So, they are

13:29

obviously the dominant player in robotic

13:32

automation from a market perspective.

13:35

And we've been there for the last 20

13:36

years. We built our main uh one of our

13:39

main production facilities in China and

13:42

we've got a long history of helping

13:45

Chinese system integrators and the

13:46

ecosystem there evolve and become more

13:50

robots capable. Now there's no doubt

13:52

it's a competitive space. Um but at the

13:55

same time we are deeply present in China

13:58

and we are also using I think the the

14:00

the deeply integrated supply chain on

14:02

the cost side but also on the system de

14:06

deployment side this ecosystem of

14:08

fantastic value providers to come up

14:10

with many of these solutions we're

14:12

active there a number of different uh

14:14

parts makers in the whole IT supply

14:18

chain are talking about key component

14:20

crunch right now I mean and prices

14:23

obviously for memory is going way up.

14:24

How is that impacting you? What are you

14:26

seeing?

14:27

>> No, I I I think um in in in the global

14:30

market of robotics actually we've seen

14:32

for the last few years, we haven't seen

14:34

exponential growth in the robotic space.

14:36

Um so we haven't quite seen the same

14:38

pressures on supply chain that you might

14:41

have been seen coming from say the

14:42

comput side in electronics

14:44

>> yet.

14:46

Now definitely it's something to keep a

14:48

close eye on. Um the the good part is as

14:51

we went through the co time we reilled

14:53

many of our supply chains to become more

14:56

resilient to possible supply chain

14:58

shortages. So this resilience certainly

15:01

we believe is going to stand us in

15:02

goodstead should there become a tighter

15:04

supply market.

15:05

>> Could that be exacerbated by the

15:07

exponential interest in humanoid robots?

15:09

I know you do industrial robots

15:11

primarily. You do have a division I

15:13

think called me uh which is looking at

15:15

sort of cobots.

15:17

>> Absolutely. Yeah. So we we we are active

15:20

in the cobot space. Uh but also we've we

15:23

are very active in trying to make our

15:25

robots more intelligent and essentially

15:27

utilize many of the characteristics that

15:29

you see out of a humanoid. We just

15:31

haven't seen the volume application of

15:34

the humanoid form factor in the

15:36

industrial space. We've seen a slightly

15:38

different form factor. We see

15:40

>> it's not as necessary, is it? Unless you

15:42

need dextrous hands um for sorting and

15:46

things like that in warehouses, right?

15:47

Yeah. Yeah. It it's not um but you can

15:50

still achieve that dexterity by putting

15:52

your robot platform on wheels and you

15:55

can come up with much higher payloads.

15:57

Now some of these technologies from

15:58

humanoids are great but when from a

16:00

supply chain perspective we're not

16:02

seeing those volumes and those volume

16:04

use cases yet impact our supply chain.

16:06

Craig McDonald, ABB robotics business

16:09

line managing director Robot Industries

16:12

speaking to Bloomberg Steven Engel from

16:14

the sidelines of Computex in Taipei and

16:18

we are bringing their conversation to

16:20

you here on the Daybreak Asia podcast.

16:26

Thanks for listening to today's episode

16:28

of the Bloomberg Daybreak Asia edition

16:30

podcast. Each weekday we look at the

16:32

[music] stories shaping markets,

16:34

finance, and geopolitics in the

16:36

Asia-Pacific. You can find us [music] on

16:38

Apple, Spotify, the Bloomberg Podcast

16:41

YouTube channel, or anywhere else you

16:43

listen. [music] Join us again tomorrow

16:44

for insight on the market moves from

16:47

Hong Kong to Singapore and Australia.

16:50

I'm Doug [music] Krer, and this is

16:52

Bloomberg.

Interactive Summary

The podcast episode covers the current state of financial markets amid AI-driven growth and geopolitical tensions, featuring insights from William Cells, Global CIO at HSBC Private Bank. It also dives into the developments in robotics and the integration of AI in industrial sectors, featuring Craig McDonald from ABB Robotics at Computex 2026 in Taipei.

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