WEBVTT - Yellen's Retaliation Warning, Apple's Vision Pro Goes Global

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

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<v Speaker 2>This is the Bloomberg Daybreak Asia podcast. I'm Brian Curtis

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<v Speaker 2>along with Doug Krisner, join us each day for the

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<v Speaker 2>stories making news and moving markets in the Asia Pacific.

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<v Speaker 2>You can subscribe to the show anywhere you get your

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<v Speaker 2>podcasts and always on Bloomberg Radio, the Bloomberg Terminal, and

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<v Speaker 2>the Bloomberg Business app.

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<v Speaker 1>Jonathan Gardner with US Chief Asia and em strategist at

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<v Speaker 1>Morgan Stanley, joining us from the line city of Singapore. Jonathan,

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<v Speaker 1>thanks for taking the time to chat with us. I

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<v Speaker 1>was noting earlier that the MSCI China Index since that

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<v Speaker 1>January low is up about twenty seven percent. A lot

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<v Speaker 1>of this may be due to some rotation into cheaper valuations.

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<v Speaker 1>Would you chase this move or do you think it's

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<v Speaker 1>pretty much run its course?

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<v Speaker 3>Well, in a word, we wouldn't chase the move. We

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<v Speaker 3>wrote a note on that last week, myself, Laura Wang,

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<v Speaker 3>and the team. I think it's important to remember just

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<v Speaker 3>how volatile China equities are now relative to the rest

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<v Speaker 3>of global equities. They're about two and a half times

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<v Speaker 3>as volatile, and we've seen some of these short bursts

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<v Speaker 3>of performance within an overall secular bear market on a

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<v Speaker 3>number of occasions in the past. I think the reason

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<v Speaker 3>that the bear market ultimately resumes is the very weak

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<v Speaker 3>fundamentals that exist in China. And over the weekend we

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<v Speaker 3>had some really quite bad numbers on the inflation side

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<v Speaker 3>and the money supply and lending side, which really for

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<v Speaker 3>US confirm our thesis that it's still trapped in debt deflation.

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<v Speaker 2>And you have US Gina relations as well, that sort

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<v Speaker 2>of looms. Jennet Yellen gave kind of tacit confirmation that

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<v Speaker 2>higher US tariffs and Chinese products are coming, Jonathan. She said,

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<v Speaker 2>basically she hoped China wouldn't retaliate. Doubtful she'd be talking

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<v Speaker 2>about that if this wasn't coming. But even if they

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<v Speaker 2>do retaliate on the Chinese side, does this have real

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<v Speaker 2>teeth for investors or is it more symbolic for both

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<v Speaker 2>sides Domestic audiences.

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<v Speaker 3>Well, the China equity market is driven mainly by a

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<v Speaker 3>domestic consumer stocks the big major internet e commerce names,

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<v Speaker 3>so it doesn't have a lot of exporters directly in

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<v Speaker 3>the index, though there are some large firms in the

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<v Speaker 3>ashare market in things like electric vehicles and battery technology.

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<v Speaker 3>So what really matters for the domestic stock market is

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<v Speaker 3>just ultimately how weak the consumer continues to be. And

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<v Speaker 3>there's plenty of evidence that the consumer's paying down mortgage

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<v Speaker 3>debt for the first time ever. Big ticket spending is diminished,

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<v Speaker 3>and so people they're out and about and spending, but

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<v Speaker 3>much more on smaller ticket items. And we just think

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<v Speaker 3>this is in stark contrast to some other parts of

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<v Speaker 3>our coverage universe, for example India, where the trends are

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<v Speaker 3>almost completely different.

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<v Speaker 1>We were talking earlier on the program about the move

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<v Speaker 1>on the part of Beijing to begin selling the first

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<v Speaker 1>round of ultra long special sovereign bonds. I think the

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<v Speaker 1>sale will begin on Friday, and we're looking at the

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<v Speaker 1>first tranche of about one hundred and thirty eight billion.

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<v Speaker 1>Do you think there's going to be strong demand for

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<v Speaker 1>something like this.

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<v Speaker 3>Well, I'm not a bond market expert, but what I

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<v Speaker 3>would say is that that number is not very large

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<v Speaker 3>in relation to the size of the Chinese economy, which

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<v Speaker 3>is around about eighteen trillion dollars, and we don't think

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<v Speaker 3>that it represents an aggregate net fiscal stimulus. Rather, what's

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<v Speaker 3>happening is the central government is in a sense backstopping

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<v Speaker 3>some of the provincial local government debt to stop a

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<v Speaker 3>sort of cascading default cycle spreading out of the property developers.

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<v Speaker 3>And that's the context in which this bond insurance is happening.

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<v Speaker 3>It's not a net fiscal injection into the economy.

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<v Speaker 2>Jonathan, I wanted to ask you briefly about rate cuts.

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<v Speaker 2>We haven't had a lot of action on that front.

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<v Speaker 2>Bloomberg Economics is saying that without rate cuts, the PBOC

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<v Speaker 2>is just pushing on a string.

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<v Speaker 4>It needs to be sooner rather than later.

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<v Speaker 2>Is that another thing that doesn't really affect equity flows

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<v Speaker 2>that much or does it?

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<v Speaker 5>Well?

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<v Speaker 3>It is actually really key points. I'm glad you mentioned

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<v Speaker 3>it in this sense. It's quite reminiscent of what was

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<v Speaker 3>going on in Japan thirty years ago in the early

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<v Speaker 3>part of their debt deflation bust. That the authorities are

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<v Speaker 3>looking back with regret at the amount of leveraging up

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<v Speaker 3>in the prior decade or so, and they're not choosing

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<v Speaker 3>to flood the system with liquidity at this occasion. There

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<v Speaker 3>is an important difference, however, with Japan that may partly

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<v Speaker 3>explain this behavior, and that is that ultimately China is

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<v Speaker 3>not a developed market sovereign. It is ultimately an em

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<v Speaker 3>sovereign in terms of its credit rating. And were it

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<v Speaker 3>to slash interest rates, let's say, to zero, or try

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<v Speaker 3>to launch a QE program, it would unlock probably currency weakness,

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<v Speaker 3>currency declines. And that's why those kinds of policies haven't

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<v Speaker 3>been open to typical em in for example, that the past,

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<v Speaker 3>whereas for develop markets, including for Japan, Japan was ultimately

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<v Speaker 3>able to reflate because it found a path substantially neg

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<v Speaker 3>of real interest rates finally over the last decade, but

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<v Speaker 3>that may not be open to China.

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<v Speaker 1>So there's no way then that you see China repeating

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<v Speaker 1>that kind of the lost three decades that Japan was

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<v Speaker 1>miird in where you get in just so deeply entrenched

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<v Speaker 1>in a deflationary cycle and just stagnant activity.

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<v Speaker 3>Well, I think there is a recentably high chance that

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<v Speaker 3>China can remain in difficulties for the foreseeable future. We

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<v Speaker 3>are in year four of this if you date the

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<v Speaker 3>beginning of it to early twenty twenty one, when leverage

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<v Speaker 3>peaked in the overall economy and property prices peaked, and

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<v Speaker 3>there was also a mini stock market bubble, and there's

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<v Speaker 3>very little sign that the macro is actually turning around again.

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<v Speaker 3>I just want to emphasize these numbers. At the weekend

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<v Speaker 3>PPI minus two and a half CPI essentially zero aggregate

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<v Speaker 3>financing negative month or month. That's very unusual.

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<v Speaker 4>I wanted to finish up on.

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<v Speaker 2>I know you look back at the last fifteen or

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<v Speaker 2>twenty years or so of investing in these markets, and

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<v Speaker 2>you drew some conclude in about thirty or forty seconds

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<v Speaker 2>some what are among those chief among your observations.

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<v Speaker 3>I think it's really about the importance of quality in

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<v Speaker 3>investing in an asset class that is quite volatile. So

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<v Speaker 3>if you find business models that have superior are we

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<v Speaker 3>and strong balance sheets versus their industry peers, and you

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<v Speaker 3>control for valuation, that's really the answer to successful investing

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<v Speaker 3>in a difficult top down environment that you often find

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<v Speaker 3>in EM.

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<v Speaker 1>Jonathan will leave it there. It's a pleasure today have

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<v Speaker 1>you on the program and benefit from your insight. Jonathan

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<v Speaker 1>Garner is a chief Asia and EM strategist at Morgan Stanley.

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<v Speaker 4>Well.

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<v Speaker 2>Apple is getting set to sell its Vision pro in

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<v Speaker 2>markets outside the United States, trying to see whether the

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<v Speaker 2>roughly thirty five hundred dollars mixed reality headset has brought appeal.

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<v Speaker 2>Joining us in our studios is Mark German, Bloomberg, Chief

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<v Speaker 2>correspondent on Global Technology. So this is really the biggest,

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<v Speaker 2>biggest device, or the newest big device for Apple in

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<v Speaker 2>a period of time from your own channel, checks Mark,

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<v Speaker 2>what are you seeing? I mean, are people going to

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<v Speaker 2>be willing to pay thirty five hundred bucks for this?

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<v Speaker 5>Yeah?

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<v Speaker 6>Thank you for having me. It's awesome to be here

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<v Speaker 6>with you in Hong Kong. The Vision Pro. Like you said,

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<v Speaker 6>it's Apple's first major new product release in nearly a

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<v Speaker 6>decade since the Apple Watch came out in twenty fifteen,

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<v Speaker 6>and at thirty five hundred dollars with limited applications technology

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<v Speaker 6>that has very early appeal. It's a very much an

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<v Speaker 6>early adopter device. It did really well out of the gate.

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<v Speaker 6>I'm talking about the first two weeks or so when

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<v Speaker 6>people who wanted to get the device lined up for it,

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<v Speaker 6>the first pre orders arrived, the first people walking into

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<v Speaker 6>Apple Source to try it out and buy it. But

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<v Speaker 6>since then it has really tapered out.

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<v Speaker 5>Right.

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<v Speaker 6>You normally see this when a new iPhone comes out,

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<v Speaker 6>you get a ton of sales and it tapers a

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<v Speaker 6>little bit, but there is still quite a bit of

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<v Speaker 6>demand over the life cycle of the product. But I'd

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<v Speaker 6>say Vision Pro sales have completely fallen flat. Some stores

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<v Speaker 6>told me that they've had as many returns over the

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<v Speaker 6>last three months as they've had purchases over the first

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<v Speaker 6>two weeks. There are other stores who tell me they're

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<v Speaker 6>only selling, you know, one to two or three units

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<v Speaker 6>per week. Some stories telling me they don't even sell

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<v Speaker 6>one Vision Pro within one particular week. It's unclear for

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<v Speaker 6>ninety nine point nine nine percent of people why you

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<v Speaker 6>need one.

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<v Speaker 5>Of these things.

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<v Speaker 1>Yeah, the so are Apple devotees, right, I mean that

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<v Speaker 1>the early adopters. When you look at the distribution of innovation,

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<v Speaker 1>is this device manufactured by fox Conn? Are they the

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<v Speaker 1>main manufacturing powerhouse behind the Vision Pro?

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<v Speaker 6>No, the vision Pro is actually not produced by fox Conn.

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<v Speaker 6>It's produced by Quanta. Sorry, it's it's produced by lux

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<v Speaker 6>Share luck Share Precision based in Taiwan, I believe, and

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<v Speaker 6>lux Share Precision they have been working with Apple for

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<v Speaker 6>some number of years on this device. The plan for

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<v Speaker 6>Apple is to move some production over time to fox

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<v Speaker 6>Con to sort of differentiate with a cheaper model at

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<v Speaker 6>some point, and fox Conn likely would get in on that.

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<v Speaker 6>Maybe there'll be more suppliers like Quanta in the future

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<v Speaker 6>as well, but it's still very early days for this product.

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<v Speaker 6>And obviously, as we're talking about, the next big thing

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<v Speaker 6>for the Vision Pro is expansion mark.

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<v Speaker 2>You mentioned in your story that it takes as much

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<v Speaker 2>as four days to be trained up on this thing,

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<v Speaker 2>so it's obviously a niche product. Is this meant to

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<v Speaker 2>be like a lost Leader or do they actually expect

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<v Speaker 2>to sell a lot of these?

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<v Speaker 4>What's the essential purpose of this?

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<v Speaker 6>You know, it's funny. When they initially were planning to

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<v Speaker 6>release the Vision Pro, they were looking at a price

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<v Speaker 6>point around three thousand dollars and that basically put it

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<v Speaker 6>as no margin, and the idea was to get people

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<v Speaker 6>in the ecosystem, eventually, bring the bill of materials down

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<v Speaker 6>over time, get the cost down over time to build,

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<v Speaker 6>and then make a profit. But they priced it at

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<v Speaker 6>thirty five hundred dollars and then you have a two

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<v Speaker 6>hundred dollars up charge per additional storage capacity, and the

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<v Speaker 6>margins on flash for Apple for storage is probably north

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<v Speaker 6>of seventy percent, and so they're making a margin on this,

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<v Speaker 6>so they are making some money, but it's going to

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<v Speaker 6>take at the current rate of the amount of people

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<v Speaker 6>purchasing this product, is going to take them a decade

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<v Speaker 6>to make a return on their investment. So they're certainly

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<v Speaker 6>going to have to get the price down get more

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<v Speaker 6>people buying it to get back on their investment.

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<v Speaker 5>Here.

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<v Speaker 1>The last time that Brian and I were speaking with you, Mark,

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<v Speaker 1>you were giving us information. You're reporting on open Ai

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<v Speaker 1>striking a deal with Apple for the iPhone. Looks like

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<v Speaker 1>you were spot on there. What do we know?

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<v Speaker 6>Yeah, So about two months ago, I reported that Apple

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<v Speaker 6>had held discussions with open Ai about integration into the iPhone,

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<v Speaker 6>and then about three weeks ago it appeared that Google

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<v Speaker 6>was in the lead for a deal with Apple on

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<v Speaker 6>Ai with Gemini integration into the new iPhone this year,

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<v Speaker 6>and I reported that talks are back on with open Ai,

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<v Speaker 6>and then just last week they reached the deal. And

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<v Speaker 6>so open Ai will be part of the iOS eighteen

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<v Speaker 6>launch later this year, and we'll be supporting features like

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<v Speaker 6>a chatbot. Whether that's integration into Siri, into the Spotlight

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<v Speaker 6>search in the phone is to be seen, but open

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<v Speaker 6>Ai is going to be a part of the new

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<v Speaker 6>version of iOS, alongside large language models in GENAI tech

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<v Speaker 6>from Apple itself.

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<v Speaker 2>I suppose it doesn't rule out a deal with Gemini

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<v Speaker 2>of Google down the road. But in terms of AI

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<v Speaker 2>and its application, if we go back here to the

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<v Speaker 2>Vision Pro, is there any AI functionality in this?

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<v Speaker 5>Yeah?

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<v Speaker 6>I mean they say that the Vision Pro uses a

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<v Speaker 6>lot of artificial intelligence to do on device processing, to

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<v Speaker 6>mirror your eyes to create a virtual representation of you,

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<v Speaker 6>And sure that is AI, but that's not the AI

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<v Speaker 6>we're talking about the AI or anyone cares about right now.

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<v Speaker 6>I would anticipate they get some GENAI features onto the

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<v Speaker 6>Vision Pro, maybe a couple of features this year, but

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<v Speaker 6>I would say that's probably more of a next year

0:12:01.840 --> 0:12:04.840
<v Speaker 6>thing or the year after. The priority first and foremost

0:12:04.920 --> 0:12:07.920
<v Speaker 6>is to get jenai based into the iPhone, then the iPad,

0:12:07.960 --> 0:12:10.280
<v Speaker 6>than the Mac, then the Apple Watch, and then I

0:12:10.320 --> 0:12:13.360
<v Speaker 6>would say Vision Pro comes last, probably alongside the Apple

0:12:13.400 --> 0:12:17.200
<v Speaker 6>TV and the App Store. There. The big news I

0:12:17.200 --> 0:12:20.360
<v Speaker 6>think though, regarding the Vision Pro itself is expansion. So

0:12:20.559 --> 0:12:22.199
<v Speaker 6>it's been in the US now for about three and

0:12:22.240 --> 0:12:25.679
<v Speaker 6>a half months, and so they're now bringing in employees

0:12:25.720 --> 0:12:29.520
<v Speaker 6>from its retail stores in Asia and in Europe and

0:12:29.760 --> 0:12:33.240
<v Speaker 6>Australia to come to the US to learn how to

0:12:33.280 --> 0:12:35.400
<v Speaker 6>sell the Vision Pro, how to pitch the Vision Pro

0:12:35.480 --> 0:12:38.040
<v Speaker 6>to customers. And so you'll see the Vision Pro launch

0:12:38.120 --> 0:12:45.400
<v Speaker 6>after early June in places like Japan, Korea, China, Hong Kong, Singapore.

0:12:46.040 --> 0:12:50.079
<v Speaker 6>You'll see France, You'll see Germany, Australia, and I anticipate

0:12:50.160 --> 0:12:52.559
<v Speaker 6>you'll see Canada and the UK at some point this year.

0:12:52.720 --> 0:12:54.760
<v Speaker 1>As you know Marca, China is a big market when

0:12:54.800 --> 0:12:57.640
<v Speaker 1>it comes to gaming. Is there an intersection here between

0:12:57.720 --> 0:13:00.000
<v Speaker 1>the gaming environment and the Vision Pro? Very quick?

0:13:00.920 --> 0:13:04.599
<v Speaker 6>I think the Vision Pro most interesting market for the

0:13:04.679 --> 0:13:06.920
<v Speaker 6>Vision Pro is probably China because of the gaming interest there.

0:13:06.920 --> 0:13:09.720
<v Speaker 6>But Apple really needs to boost its gaming capabilities for

0:13:09.720 --> 0:13:11.360
<v Speaker 6>the device before it really will take off there.

0:13:11.440 --> 0:13:13.080
<v Speaker 4>The Apple Watch had a slow start.

0:13:13.679 --> 0:13:16.080
<v Speaker 2>Does the Vision Pro eventually get there or does this

0:13:16.120 --> 0:13:16.559
<v Speaker 2>one fail?

0:13:17.120 --> 0:13:19.320
<v Speaker 6>I think the first model the Vision Pro, will be

0:13:19.400 --> 0:13:21.439
<v Speaker 6>recalled as a failure, but I think if they get

0:13:21.440 --> 0:13:24.160
<v Speaker 6>the price down in half, it'll ultimately be a very

0:13:24.160 --> 0:13:25.319
<v Speaker 6>successful product for Apple.

0:13:25.640 --> 0:13:27.600
<v Speaker 2>All right, Mark, thank you very much for coming in.

0:13:27.720 --> 0:13:30.840
<v Speaker 2>We could talk a whole half hour. I suppose even longer.

0:13:31.240 --> 0:13:41.880
<v Speaker 2>Mark German, Bloomberg chief correspondent on global technology. Joining us

0:13:41.880 --> 0:13:44.400
<v Speaker 2>now for a closer look at markets is Victoria Bill's

0:13:44.520 --> 0:13:49.240
<v Speaker 2>chief investment strategist at Bantery and Capital Management. Victoria, thank

0:13:49.280 --> 0:13:52.400
<v Speaker 2>you for joining us. We're seeing a lack of direction

0:13:52.840 --> 0:13:57.880
<v Speaker 2>in US equities for sure. Elsewhere as well, what's rally

0:13:57.920 --> 0:14:01.679
<v Speaker 2>the most of late has been and Hong Kong equities,

0:14:02.160 --> 0:14:06.440
<v Speaker 2>US utilities and staples, So hard to find a thread

0:14:06.679 --> 0:14:09.480
<v Speaker 2>through that other than you know, those are the most

0:14:09.520 --> 0:14:13.400
<v Speaker 2>bombed out sectors late last year, and people have been

0:14:13.440 --> 0:14:16.560
<v Speaker 2>selling megacap tech and have been buying there.

0:14:17.040 --> 0:14:18.640
<v Speaker 4>When are we going to get some direction?

0:14:20.320 --> 0:14:20.600
<v Speaker 2>Yeah?

0:14:20.840 --> 0:14:23.680
<v Speaker 5>Direction, honestly is very hard to come by these days.

0:14:23.760 --> 0:14:25.440
<v Speaker 5>I think a lot of what we are seeing in

0:14:25.480 --> 0:14:28.800
<v Speaker 5>the market right now is just if we try to

0:14:29.040 --> 0:14:31.920
<v Speaker 5>create a single thread. There's a lot of noise when

0:14:31.920 --> 0:14:34.479
<v Speaker 5>it comes to what the markets are looking at. For example,

0:14:34.800 --> 0:14:40.120
<v Speaker 5>ETFs are a very common resp solution for the comment

0:14:40.240 --> 0:14:43.840
<v Speaker 5>for the average investor and for the average consumer investor,

0:14:44.400 --> 0:14:48.920
<v Speaker 5>and whether that's ETFs or whether that's through volatility trades particularly,

0:14:49.320 --> 0:14:51.760
<v Speaker 5>there's a lot of noise in terms of what we're

0:14:51.760 --> 0:14:54.640
<v Speaker 5>seeing just from the consumer side of the market now.

0:14:54.720 --> 0:14:57.520
<v Speaker 5>If we're looking at fundamentals, or if we're looking at

0:14:57.720 --> 0:15:00.720
<v Speaker 5>different types of industries in particular, I think a lot

0:15:00.760 --> 0:15:03.120
<v Speaker 5>of the common threads that we should be looking towards

0:15:03.200 --> 0:15:07.920
<v Speaker 5>are within the technology sector, specifically within AI, web three,

0:15:08.120 --> 0:15:10.800
<v Speaker 5>machine learning, and so those are a lot of things

0:15:10.840 --> 0:15:13.200
<v Speaker 5>that I'm looking for to or the things that I'm

0:15:13.240 --> 0:15:16.360
<v Speaker 5>looking to when it comes to market direction at this time.

0:15:16.520 --> 0:15:18.640
<v Speaker 1>So talk to us a little bit about the way

0:15:18.640 --> 0:15:22.240
<v Speaker 1>that you play artificial intelligence. Is it through a company

0:15:23.320 --> 0:15:26.720
<v Speaker 1>like a chip maker, let's say Nvidia obviously maybe to

0:15:26.760 --> 0:15:29.600
<v Speaker 1>a lesser extent some of the memory chip manufacturers, like

0:15:29.640 --> 0:15:32.360
<v Speaker 1>if Samsung, or do you go to a company like

0:15:32.520 --> 0:15:37.840
<v Speaker 1>Alphabet or Microsoft, or are there upstarts maybe publicly traded

0:15:37.880 --> 0:15:42.600
<v Speaker 1>companies small market cap focused on AI that could be

0:15:43.040 --> 0:15:46.040
<v Speaker 1>acquisition targets. I'm trying to understand the way that you

0:15:46.120 --> 0:15:48.440
<v Speaker 1>evaluate and put money to work in this space.

0:15:49.680 --> 0:15:51.480
<v Speaker 5>I think there's a a few different ways or a

0:15:51.480 --> 0:15:54.080
<v Speaker 5>few different scenarios of which you can talk about or

0:15:54.160 --> 0:15:56.960
<v Speaker 5>do all of the companies that you're talking about. So,

0:15:57.120 --> 0:15:59.680
<v Speaker 5>whether that's a data play when it comes to Meta

0:15:59.800 --> 0:16:03.560
<v Speaker 5>or Alphabet, data is a crucial component when it comes

0:16:03.600 --> 0:16:06.200
<v Speaker 5>to AI and machine learning, and especially when we think

0:16:06.200 --> 0:16:10.760
<v Speaker 5>about like the transference of that data and information from

0:16:10.880 --> 0:16:15.200
<v Speaker 5>larger computer systems to individuals, individuals stant hands or even

0:16:15.280 --> 0:16:20.320
<v Speaker 5>through like individual means, if you want to do a

0:16:20.360 --> 0:16:24.360
<v Speaker 5>computer or a microchip or a GPU play, I would

0:16:24.360 --> 0:16:27.680
<v Speaker 5>say that that's definitely a Nvidia or even a Samsung company.

0:16:28.440 --> 0:16:32.280
<v Speaker 5>The thing about Navidia is that they manufacture majority of

0:16:32.400 --> 0:16:35.400
<v Speaker 5>the GPU chips that are used in AI as well

0:16:35.440 --> 0:16:38.600
<v Speaker 5>as in sorry I'm thinking I'm blinking out in the

0:16:38.640 --> 0:16:42.880
<v Speaker 5>world right now, but sorry crypto plays as well. So

0:16:43.240 --> 0:16:46.080
<v Speaker 5>when we're thinking about companies that are within those spaces,

0:16:46.240 --> 0:16:48.960
<v Speaker 5>those are some of the primary industries that we're looking at.

0:16:49.400 --> 0:16:51.760
<v Speaker 5>And then the other thing that I like to think

0:16:51.800 --> 0:16:54.840
<v Speaker 5>about is machine learning. And so again we're looking at

0:16:54.960 --> 0:16:58.320
<v Speaker 5>Navidia or even Samsung a lot of the chips that

0:16:58.360 --> 0:17:00.440
<v Speaker 5>they're creating right now, and especially if we talk about

0:17:00.880 --> 0:17:06.080
<v Speaker 5>Samsung or even Nvidia, Samsung particularly the they're hopefully going

0:17:06.160 --> 0:17:09.439
<v Speaker 5>to like further their partnership with Nvidia and provide some

0:17:09.480 --> 0:17:11.840
<v Speaker 5>of the some of the chips that they're using for

0:17:11.920 --> 0:17:15.840
<v Speaker 5>their Web three and AI plays. So Samsung only has

0:17:15.840 --> 0:17:20.040
<v Speaker 5>an upboards or upworts tailwinds to gain from continuing to

0:17:20.080 --> 0:17:22.840
<v Speaker 5>partner with companies such as Nvidia right now, well.

0:17:22.760 --> 0:17:25.399
<v Speaker 2>There's so many derivative bets on this. So we mentioned

0:17:25.400 --> 0:17:28.479
<v Speaker 2>that companies like Nvidia and Broadcom are well off their highs,

0:17:28.480 --> 0:17:30.879
<v Speaker 2>so people have been selling that and they've been buying

0:17:30.920 --> 0:17:34.080
<v Speaker 2>into some of these derivative plays, even utilities. You know

0:17:34.119 --> 0:17:36.960
<v Speaker 2>that raises a few eyebrows, but you know, these data

0:17:36.960 --> 0:17:40.480
<v Speaker 2>centers need a ton of electrification, so you know people

0:17:40.480 --> 0:17:44.080
<v Speaker 2>have even spread there. They're buying HVAC companies because you know,

0:17:44.119 --> 0:17:47.159
<v Speaker 2>you need cooling systems for all the all the power

0:17:47.240 --> 0:17:48.600
<v Speaker 2>that AI needs.

0:17:48.960 --> 0:17:50.800
<v Speaker 4>So there's been a lot of bets. I'm wondering.

0:17:51.040 --> 0:17:53.040
<v Speaker 2>You know, some of those companies have gone up even

0:17:53.080 --> 0:17:56.280
<v Speaker 2>more in the last month or two than the NVIDIAs

0:17:56.280 --> 0:17:59.720
<v Speaker 2>of the world. So I'm thinking that maybe now money

0:17:59.720 --> 0:18:03.159
<v Speaker 2>flows back into the peer plays because have already spread out.

0:18:03.960 --> 0:18:07.639
<v Speaker 5>I mean, that's definitely it. I remember back in last

0:18:07.720 --> 0:18:10.880
<v Speaker 5>year in November, I was very much pro super Microcomputer,

0:18:11.480 --> 0:18:16.000
<v Speaker 5>and that company was originally in the small cap like

0:18:16.200 --> 0:18:20.399
<v Speaker 5>small cap index, but now it's trading at almost triple

0:18:20.480 --> 0:18:22.199
<v Speaker 5>or double what I would recommend in terms of a

0:18:22.240 --> 0:18:25.800
<v Speaker 5>price for purchase. So when it comes to small cap

0:18:25.840 --> 0:18:28.920
<v Speaker 5>plays or even companies that are like I would say,

0:18:28.960 --> 0:18:33.240
<v Speaker 5>more fairly priced in this arena, there's a very slim

0:18:33.280 --> 0:18:35.480
<v Speaker 5>picking in terms of companies that you could look at

0:18:35.520 --> 0:18:38.439
<v Speaker 5>to get into the AI world. And going off of

0:18:38.480 --> 0:18:41.240
<v Speaker 5>what you were saying earlier, a lot of this requires

0:18:41.400 --> 0:18:44.640
<v Speaker 5>like a lot of manufacturing power in order to create

0:18:44.680 --> 0:18:48.760
<v Speaker 5>these microchips in order to create these processors semiconductor processors

0:18:48.800 --> 0:18:52.159
<v Speaker 5>as well, which helped to process that data. So I

0:18:52.359 --> 0:18:55.440
<v Speaker 5>honestly that's where the larger plays come in, because these

0:18:55.480 --> 0:18:57.879
<v Speaker 5>are the companies that are well equipped in order to

0:18:57.960 --> 0:19:00.920
<v Speaker 5>create those processes and create that data, create that information.

0:19:01.440 --> 0:19:04.800
<v Speaker 1>Brian raised an interesting point. They're talking about the demand

0:19:04.880 --> 0:19:08.320
<v Speaker 1>for electricity to power a lot of this processing, whether

0:19:08.359 --> 0:19:12.120
<v Speaker 1>it's you know, a server farm or you know individual

0:19:12.160 --> 0:19:16.600
<v Speaker 1>companies that are set up to kind of run AI applications.

0:19:16.720 --> 0:19:18.920
<v Speaker 1>Is that a play that interests you in any way?

0:19:19.320 --> 0:19:21.760
<v Speaker 1>I know it may sound boring to put money to

0:19:21.760 --> 0:19:24.720
<v Speaker 1>work into utility, but maybe it's not a utility. Maybe

0:19:24.760 --> 0:19:28.239
<v Speaker 1>it's something connected to a form of energy that attracts you.

0:19:29.320 --> 0:19:32.399
<v Speaker 5>Oh. Absolutely, The thing is like energy is going to

0:19:32.440 --> 0:19:35.000
<v Speaker 5>be the energy is the number one resource when we

0:19:35.040 --> 0:19:38.000
<v Speaker 5>think about the play that's going to be in the

0:19:38.119 --> 0:19:42.000
<v Speaker 5>AI and machine learning space, Like these are very high

0:19:42.320 --> 0:19:45.800
<v Speaker 5>energy intensive processes in order to not only just create

0:19:45.800 --> 0:19:49.040
<v Speaker 5>these microchips, but also to run them and operate them.

0:19:49.359 --> 0:19:53.080
<v Speaker 5>So whether you're thinking about crypto mining, that is a

0:19:53.240 --> 0:19:57.320
<v Speaker 5>very energy intensive sector. But the chips, for example, that

0:19:57.440 --> 0:20:00.959
<v Speaker 5>Nvidia creates for like GPU process as saying, those have

0:20:01.920 --> 0:20:05.560
<v Speaker 5>additional cooling factors that allow for them to not process

0:20:05.600 --> 0:20:09.200
<v Speaker 5>as much energy. But with the crypto having that happened

0:20:09.280 --> 0:20:12.680
<v Speaker 5>last month, essentially what happens is that the supply of crypto,

0:20:12.840 --> 0:20:15.520
<v Speaker 5>for example, has now gone down, so that means but

0:20:15.680 --> 0:20:17.920
<v Speaker 5>still continuing with the demand.

0:20:17.560 --> 0:20:18.040
<v Speaker 2>That we have.

0:20:18.560 --> 0:20:22.520
<v Speaker 5>So therefore the logical explanation is that either these crypto

0:20:22.560 --> 0:20:26.399
<v Speaker 5>mining companies need to add more additional computers and processors

0:20:26.400 --> 0:20:29.320
<v Speaker 5>in order to meet that demand, or it's just kind

0:20:29.320 --> 0:20:31.120
<v Speaker 5>of you're just going to resign yourself to the fact

0:20:31.160 --> 0:20:32.760
<v Speaker 5>that maybe you're not going to be able to mine

0:20:32.760 --> 0:20:34.439
<v Speaker 5>as much crypto as you might have been able to

0:20:34.480 --> 0:20:35.000
<v Speaker 5>in the past.

0:20:35.600 --> 0:20:39.280
<v Speaker 2>But let's get to the broader market briefly. People are

0:20:39.320 --> 0:20:41.359
<v Speaker 2>worried about, you know what's out there. The market near

0:20:41.400 --> 0:20:43.439
<v Speaker 2>all time highs would seem to be telling us that

0:20:43.840 --> 0:20:46.960
<v Speaker 2>six to nine months out things will still be okay.

0:20:47.760 --> 0:20:51.639
<v Speaker 2>It's the nervous commentators that are suggesting that stagflation is

0:20:51.680 --> 0:20:54.000
<v Speaker 2>a risk this year. The market seems to be saying, sure,

0:20:54.200 --> 0:20:58.119
<v Speaker 2>anything's possible. Stagflation is not happening anytime soon. Your thoughts

0:20:58.119 --> 0:20:59.720
<v Speaker 2>on that, I.

0:21:00.040 --> 0:21:03.040
<v Speaker 5>Thinks stiflation is happening anytime soon. I think that again,

0:21:03.160 --> 0:21:06.520
<v Speaker 5>labor markets remain pretty strong, and while inflation rates are

0:21:06.560 --> 0:21:09.800
<v Speaker 5>pretty high, but there's no reason to believe that CPI

0:21:09.800 --> 0:21:13.119
<v Speaker 5>and PPI particularly won't come near or close to the

0:21:13.160 --> 0:21:16.400
<v Speaker 5>consensus that we currently have right now. When we think

0:21:16.400 --> 0:21:19.119
<v Speaker 5>about what the Fed is doing, we're basically in a

0:21:19.160 --> 0:21:21.760
<v Speaker 5>process right now, or in a race to try and

0:21:21.920 --> 0:21:26.159
<v Speaker 5>temper inflation or temper consumer sentiments in order to basically

0:21:26.200 --> 0:21:30.240
<v Speaker 5>combat that inflation. What we've seen, however, is that consumer

0:21:30.280 --> 0:21:33.879
<v Speaker 5>savings has gone down overall for the past quarter. I

0:21:33.920 --> 0:21:37.960
<v Speaker 5>believe consumer spending has also gone up. And then the

0:21:38.000 --> 0:21:41.040
<v Speaker 5>other part of that is that wages have also have

0:21:41.200 --> 0:21:46.640
<v Speaker 5>not matched savings, but they're basically they're not outpacing consumer spending.

0:21:46.920 --> 0:21:50.119
<v Speaker 5>So what we're seeing, so the overarching message of that

0:21:50.440 --> 0:21:52.200
<v Speaker 5>is that what the FED is doing is working.

0:21:52.520 --> 0:21:55.160
<v Speaker 2>Okay, Victoria, thank you so much for being with us here.

0:21:55.560 --> 0:21:59.040
<v Speaker 2>Enjoyed it, Victoria Bills, chief investment strategist, said vander and

0:21:59.080 --> 0:22:00.000
<v Speaker 2>Capital Management.

0:22:02.280 --> 0:22:05.240
<v Speaker 1>This has been the Bloomberg Daybreak Asia podcast, bringing you

0:22:05.280 --> 0:22:08.400
<v Speaker 1>the stories making news and moving markets in the Asia Pacific.

0:22:08.920 --> 0:22:12.040
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