WEBVTT - Making Sense of the Tech Selloff

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg

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<v Speaker 1>Surveillance Podcast. Catch us live weekdays at seven am Eastern

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<v Speaker 2>I've Ben find stuff joins us with Tigris this morning.

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<v Speaker 2>He survived Boston University Finance and accounting, one of the

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<v Speaker 2>great grinds of college academics. Ivan, I'm going to cut

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<v Speaker 2>to the chase. You've got a very very constructive note

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<v Speaker 2>on a quote classic shakeout of crowded AI trades. Do

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<v Speaker 2>you load the boat on Microsoft? What's the character of

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<v Speaker 2>your enthusiasm to acquire shares?

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<v Speaker 3>Well, first of all, I think this negative view of

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<v Speaker 3>this software stocks is just way overdone. Even Jensen Long

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<v Speaker 3>has said that software drives the functionality of hardware.

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<v Speaker 2>But look, it's still.

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<v Speaker 3>AI is a powerful investment theme, and we're going to

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<v Speaker 3>see things get to have themselves like we saw this

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<v Speaker 3>run up in arm, run up in Micron, run up

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<v Speaker 3>in SanDisk. But yet this is a very powerful theme

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<v Speaker 3>that I think has still long to run, and the

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<v Speaker 3>next phase is going to be the evolution of smart

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<v Speaker 3>devices that just have an AI operating system, and instead

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<v Speaker 3>of on your phone using different apps to do different functions,

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<v Speaker 3>you're going to have an overall AI interactive operating system

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<v Speaker 3>that then will drive agents to use different apps to

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<v Speaker 3>accomplish what you want. Like for example, if you're interested in,

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<v Speaker 3>you know, you want to eat Italian food, where's the

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<v Speaker 3>best place to go to where I am. It'll give

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<v Speaker 3>you some suggestions and all you have to do is say,

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<v Speaker 3>all right, book me a table at seven point thirty

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<v Speaker 3>for four people at this restaurant, and it will do

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<v Speaker 3>that rather than you having to go to Rezi or

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<v Speaker 3>to one of the other apps to both interaction.

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<v Speaker 2>And this is what qualcomm.

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<v Speaker 3>In fact, I'm going to be attending quill Common investerday today,

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<v Speaker 3>but is using their processors, data centers, and most important,

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<v Speaker 3>the power of this is computing at the edge.

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<v Speaker 2>Okay, now, yeah, but hold on, Paul, help me there?

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<v Speaker 2>Can AI get me a table at rows?

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<v Speaker 4>I don't think there?

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<v Speaker 3>I know, yes, he I doesn't have that much juice

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<v Speaker 3>at least right now.

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<v Speaker 4>Ivan frame mount kind of your conversations with your clients

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<v Speaker 4>about software broadly defined, because again we've had a sell

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<v Speaker 4>off in this sector, particularly for the SaaS names that

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<v Speaker 4>a lot of people did not see coming. And it's

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<v Speaker 4>been such a strong, strong sector to be in for

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<v Speaker 4>decades because of the recurring revenue and a free cash flow.

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<v Speaker 4>What's your view of software broadly defined these days.

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<v Speaker 3>I think there's a lot of opportunity in the database

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<v Speaker 3>software companies like Mango dB and like Monday dot Com.

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<v Speaker 3>I think the software the infrastructure providers like Oracle, as

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<v Speaker 3>well as the process of providers like Nvidia and memory. Look,

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<v Speaker 3>there's a tremendous shortage of memory because of the huge

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<v Speaker 3>demand to build out these data centers, and memory prices

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<v Speaker 3>have tripled and quadrupled over the past year, and that's

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<v Speaker 3>what's been driving things like Micron at sand Disc. So,

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<v Speaker 3>but this is a powerful theme that will go on

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<v Speaker 3>for some time.

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<v Speaker 4>Microsoft down twenty three percent year to date. You don't

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<v Speaker 4>see that very often here, which your view there of

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<v Speaker 4>just kind of Microsoft and some of these software names.

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<v Speaker 3>I think Microsoft is a tremendous buy here. We've seen

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<v Speaker 3>this trend before where all of a sudden the market

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<v Speaker 3>turns negative on Microsoft because years ago they weren't in

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<v Speaker 3>the cloud. They are a cloud leader. They weren't INAI,

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<v Speaker 3>they are in AI leader, and they still command ninety

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<v Speaker 3>percent of all computer desktops. So this is a huge

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<v Speaker 3>infrastructure provider and I think a tremendous buy here.

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<v Speaker 2>And look the state of this and the catalyst of it.

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<v Speaker 2>What is the earning season going to look like? Is

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<v Speaker 2>it can convey that all these companies, these believe you

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<v Speaker 2>tech companies are still.

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<v Speaker 3>Thriving, absolutely and with each report an increasing capital investment

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<v Speaker 3>in AI.

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<v Speaker 2>We saw it. So with the you know Q four

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<v Speaker 2>and full.

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<v Speaker 3>Year results of all the big tech companies, the five

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<v Speaker 3>or six major tech companies have committed over six on

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<v Speaker 3>close to seven hundred billion dollars in capital investment for

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<v Speaker 3>this year, close to fifty percent from last year. So

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<v Speaker 3>capital investment in AI infrastructure and data centers and in

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<v Speaker 3>all the different factors or cloud computing, edge computing and

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<v Speaker 3>the access to this. Now I bring up WELLcom because

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<v Speaker 3>they recently announced we're they're working with open Ai. Last year,

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<v Speaker 3>open ai hired Johnny Ives from Apple to lead device creator.

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<v Speaker 3>Johnny Ives was the developer of the original iPhone. So

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<v Speaker 3>you're going to see devices from all of these companies.

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<v Speaker 3>It's going to be you know handheld desk connected devices.

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<v Speaker 3>The Meta just announced a new line of smart glasses.

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<v Speaker 3>It's going to be all these different devices that help

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<v Speaker 3>you interact right and get your questions answered by using

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<v Speaker 3>AI agent.

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<v Speaker 2>I've ad finds this wonderful and technology at Tigers. Stay

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<v Speaker 2>with us. More from Bloomberg Surveillance coming up after this.

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<v Speaker 1>You're listening to the Bloomberg Surveillance podcast. Catch us live

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<v Speaker 1>weekday afternoons from seven to ten den Listen on Apple

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<v Speaker 2>We are just thrilled in Chad Wayne with us with Vanguard.

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<v Speaker 2>The academic path is her Beijing University in China that

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<v Speaker 2>she stumbled on the duke peaked at peached a duke

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<v Speaker 2>and then I wandered by Stanford to pick up the people.

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<v Speaker 2>What was your first day like at Duke to come

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<v Speaker 2>from China? Did you know who UNC was? Did you

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<v Speaker 2>have any Indiana Duke un see when you walked in

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<v Speaker 2>the door.

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<v Speaker 5>Well, my memory is still vivid when I actually come

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<v Speaker 5>to North Carolina, Blue Devil right, you know, fos keyboy

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<v Speaker 5>is the number one thing, and I still remember oil

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<v Speaker 5>price was ninety nine cents at that moment. That was

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<v Speaker 5>back in nineteen ninety seven.

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<v Speaker 6>Surely that's just.

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<v Speaker 2>Too short a visit today. But I've just got to

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<v Speaker 2>cut to the chase. The state of Hong Kong. We

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<v Speaker 2>have a huge platform there Stephen Engel, Yvonne and Dan

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<v Speaker 2>and all the team at Bloomberg. There the state of

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<v Speaker 2>government in Hong Kong on right now.

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<v Speaker 5>M Yeah, I think Hong Kong actually is you know,

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<v Speaker 5>stabilizing right after quite a few years of uh, you

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<v Speaker 5>know uncertainty, right, you know, this kind of uncertainty about

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<v Speaker 5>the political landscape there Hong Kong. Actually, I think the economy,

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<v Speaker 5>the market is finally coming back, so some of the

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<v Speaker 5>regulatory uncertainty is actually fading. We do see the finance

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<v Speaker 5>industry and the labor market is actually starting coming back,

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<v Speaker 5>especially with this Ai story.

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<v Speaker 2>What is it's my great mentor Michael Elliott who had

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<v Speaker 2>lost way too early from Time Magazine Up the mountain,

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<v Speaker 2>up the hill. Is the capitalistic spirit still in Hong Kong.

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<v Speaker 5>I think this is where what you would see in

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<v Speaker 5>Hong Kong is more this kind of socialist style, right,

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<v Speaker 5>you know, uh market economy, right, That's where I think

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<v Speaker 5>to a certain stand Hong Kong is so unique to China, right,

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<v Speaker 5>it still remains the window, you know, for China to

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<v Speaker 5>connect to the rest of the world. Right, So that's

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<v Speaker 5>where I would say you would continue to see this

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<v Speaker 5>kind of free capital flow, free market economy that will

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<v Speaker 5>remain to be the uniqueness about Hong Kong that is

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<v Speaker 5>actually different from the mainland China.

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<v Speaker 4>Talk to us about the economy on mainland China. How

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<v Speaker 4>do you see it today and what are the key

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<v Speaker 4>drivers going forward?

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<v Speaker 2>Do you think?

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<v Speaker 5>Well, I think when you look at the Chinese economy,

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<v Speaker 5>I think on the headline, you see that the real

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<v Speaker 5>economic growth seems to be pretty good, right, you know,

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<v Speaker 5>they are able to achieve their growth target last year

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<v Speaker 5>and this year four point five to five percent is

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<v Speaker 5>not that difficult to achieve either. But I think underline

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<v Speaker 5>that headline you see significant divergence between supply and demand.

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<v Speaker 5>At this moment, most of the economy driver is really exports,

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<v Speaker 5>Right Is that sustainable? I don't think so, right, because

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<v Speaker 5>that's going to create a lot of global friction, right,

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<v Speaker 5>protectionism from US, Europe even other emergent markets. Well, on

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<v Speaker 5>the other hand, if you look at the domestic demands

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<v Speaker 5>and consumer retail sales just you know contracted last months, right,

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<v Speaker 5>and then you know, fixed investment housing is in this

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<v Speaker 5>persistent long term. I don't see a decisive turn yet

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<v Speaker 5>at this moment without you know, significant government intervention or

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<v Speaker 5>leverage in central government balance sheet. So housing market hasn't

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<v Speaker 5>bottom yet.

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<v Speaker 4>How does China view the US in terms of these

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<v Speaker 4>trade negotiations? I kind of it just feels like to

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<v Speaker 4>me as an outsider, both sides kind of need each other.

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<v Speaker 4>It seems like, how does China view it?

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<v Speaker 3>Yeah?

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<v Speaker 5>I think that's you know one thing especially I think

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<v Speaker 5>with President Trump's visit to China. You know, they talk

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<v Speaker 5>about this kind of strategic stability, and to me, it's

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<v Speaker 5>more of a transactional relationship. Right. That's where the world

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<v Speaker 5>and the US realized that, yeah, we still need China,

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<v Speaker 5>especially at this moment when we are doing all those

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<v Speaker 5>build out right AI you know, and the rest work

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<v Speaker 5>Green transition, and you still need that kind of manufacturing

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<v Speaker 5>capacity from China.

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<v Speaker 2>Help us with the dollar. The basics in vanguard courses

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<v Speaker 2>front and center. Honest, we need a weak dollar to

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<v Speaker 2>have international equity investment go. That's been disproving here recently.

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<v Speaker 2>Do we need a week dollar, Do we need a

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<v Speaker 2>strong yuan?

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<v Speaker 1>Yeah?

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<v Speaker 5>I think I definitely think one actually is somewhat undervalue.

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<v Speaker 5>You know, if you look at the fundamental the purchase

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<v Speaker 5>and power, the record high you know, current council plus right,

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<v Speaker 5>you know, one point two treaty and last year and

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<v Speaker 5>then this year is likely to remain elevated. I do think,

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<v Speaker 5>you know, there's room for reman be yuan to appreciate

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<v Speaker 5>and to a certain stand I think that aligns with

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<v Speaker 5>the strategic goal of the Chinese government, right. They want

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<v Speaker 5>to push in them and be internationalization. They want to

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<v Speaker 5>boost up people's confidence in the Chinese economy and assets.

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<v Speaker 5>A stronger rum will actually help them. But I think

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<v Speaker 5>it's the question is really about the pace of appreciation.

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<v Speaker 5>I don't think China will ever let the pace of

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<v Speaker 5>appreciation or depreciation to be that fast, right, So anything

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<v Speaker 5>is in the controlled, managed, you know, pace by the

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<v Speaker 5>central bankan government.

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<v Speaker 4>Tariffs were however long we're into the whole tariff regime. Here,

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<v Speaker 4>President Trump, here, what's the view in China? What's the

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<v Speaker 4>impact been on China? How are they viewing this tariff environment?

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<v Speaker 5>Yeah, I mean that's an interesting part because I've been

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<v Speaker 5>you know, visiting you know, China manufacturing sector, you know,

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<v Speaker 5>in Guangdong, in Huatyang, you know, every year, right, And

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<v Speaker 5>you know, last year at the peak of the tariff,

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<v Speaker 5>when I was talking to a lot of manufacturers, I think,

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<v Speaker 5>you know, many of them feel like, you know what,

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<v Speaker 5>we see this coming, right, Like the trade war actually

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<v Speaker 5>started in twenty eighteen, and Chinese factories manufacturing has been

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<v Speaker 5>preparing for this for quite a few years. They've been

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<v Speaker 5>diversifying their you know, export market and moving their factories

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<v Speaker 5>right out of China. And also China is so competitive, right,

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<v Speaker 5>the cost is so low, so they can bear the target,

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<v Speaker 5>you like, way Lee of black Rock.

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<v Speaker 2>There's just such an authentic reality of China away from

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<v Speaker 2>the media myths in America. What's the number one thing

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<v Speaker 2>Americans get wrong about the state of China right now?

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<v Speaker 5>Well, I think you know, for a long time, we

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<v Speaker 5>as economists has been arguing that, you know, does China's

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<v Speaker 5>model work, right, the kind of you know, a government

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<v Speaker 5>plant or you know, socialist style of market economy does

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<v Speaker 5>not work at all, I mean, including industry policy, right.

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<v Speaker 5>I mean, you know, at some point people start to realize, Yeah,

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<v Speaker 5>it worked to a certain extent. Right, It's so at

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<v Speaker 5>some point it needs to be a you know combination. Right,

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<v Speaker 5>maybe the government can need to help, right, need to

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<v Speaker 5>support the economy to a certain extent, but at the

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<v Speaker 5>same time they also need to let the market economy

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<v Speaker 5>play their role in areas that you know, otherwise you

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<v Speaker 5>could end up with over capacity as we are seeing

0:13:06.960 --> 0:13:10.559
<v Speaker 5>today and you kind of distort you know, the economy,

0:13:10.880 --> 0:13:12.080
<v Speaker 5>which is not sustainable.

0:13:12.280 --> 0:13:14.079
<v Speaker 2>This has been wonderful. Thank you so much for the

0:13:14.120 --> 0:13:16.760
<v Speaker 2>effort to get here, and a long travels. Chang Wing

0:13:16.960 --> 0:13:20.520
<v Speaker 2>is with this chief Asia Pacific economist at Vanguard driving

0:13:20.640 --> 0:13:24.880
<v Speaker 2>all of their economics worldwide. Stay with us. More from

0:13:24.960 --> 0:13:27.480
<v Speaker 2>Bloomberg Surveillance coming up after this.

0:13:34.880 --> 0:13:38.440
<v Speaker 1>You're listening to the Bloomberg Surveillance podcast. Catch us Live

0:13:38.520 --> 0:13:41.640
<v Speaker 1>weekday afternoons from seven to ten am Eastern Listen on

0:13:41.760 --> 0:13:45.400
<v Speaker 1>Applecarplay and Android Otto with the Bloomberg Business app, or

0:13:45.600 --> 0:13:46.520
<v Speaker 1>watch us live on.

0:13:46.600 --> 0:13:48.959
<v Speaker 2>YouTube Massive Rip up the script and we can do

0:13:49.040 --> 0:13:51.880
<v Speaker 2>this with Libby Cantrol of Pimco as well. The Secondary

0:13:51.920 --> 0:13:54.839
<v Speaker 2>of Treasury is over on a death start given the

0:13:54.920 --> 0:13:58.320
<v Speaker 2>Republican line off the elections last night this is Bessent.

0:13:58.840 --> 0:14:02.719
<v Speaker 2>Last night we saw ma'm donnie is Leader of Democrats.

0:14:03.400 --> 0:14:06.199
<v Speaker 2>Laura Nemaias picked that up for Bloomberg with Naka Kitan

0:14:06.679 --> 0:14:11.400
<v Speaker 2>and Samuel Church this morning, talking about anti establishment anger

0:14:12.480 --> 0:14:18.439
<v Speaker 2>is the Progressive Democrats, the Social Democrats, the new Mumdanni angle.

0:14:19.040 --> 0:14:22.200
<v Speaker 2>This is not Jacob Javits, this is not this is

0:14:22.280 --> 0:14:25.600
<v Speaker 2>not Hubert Humphrey. This isn't even John Lindsay, is it.

0:14:26.600 --> 0:14:26.640
<v Speaker 5>No?

0:14:26.920 --> 0:14:28.760
<v Speaker 7>I mean this is so I think a couple of things.

0:14:28.840 --> 0:14:31.640
<v Speaker 7>One is that just remember politics are local, so we're

0:14:31.680 --> 0:14:35.920
<v Speaker 7>talking about one of, if not the most liberal city

0:14:36.120 --> 0:14:39.400
<v Speaker 7>in America. But what this does show you what sort

0:14:39.400 --> 0:14:42.320
<v Speaker 7>of the what the primary results show you last night

0:14:42.400 --> 0:14:45.840
<v Speaker 7>is one, Mumdanni has incredible star power. He went three

0:14:45.960 --> 0:14:48.560
<v Speaker 7>for three in terms of endorsing folks who ended up winning.

0:14:49.360 --> 0:14:53.000
<v Speaker 7>But two, there is a lot of anti incumbent anger and.

0:14:53.080 --> 0:14:53.480
<v Speaker 4>You saw this.

0:14:53.600 --> 0:14:56.120
<v Speaker 7>You've seen this on the Republican side just as a reminder,

0:14:56.560 --> 0:14:58.640
<v Speaker 7>and now you're seeing it on the Democratic side as well.

0:14:59.280 --> 0:15:02.520
<v Speaker 7>And then number three is that the Democratic Socialist at

0:15:02.600 --> 0:15:05.000
<v Speaker 7>least here in New York City, are much better organized

0:15:05.360 --> 0:15:09.240
<v Speaker 7>than the party. So grassroots outreach, that all that stuff

0:15:09.320 --> 0:15:12.560
<v Speaker 7>still matters. I think this is very much expected that

0:15:12.760 --> 0:15:15.400
<v Speaker 7>the Republicans will sort of demagogue this, they'll make this

0:15:15.600 --> 0:15:18.800
<v Speaker 7>sort of the face of the Democratic Party. I think

0:15:18.840 --> 0:15:21.400
<v Speaker 7>it is also important just to remember that other folks,

0:15:21.560 --> 0:15:24.200
<v Speaker 7>more moderate candidates actually won last night, and on the

0:15:24.280 --> 0:15:28.120
<v Speaker 7>Democratic side in Utah and upstate New York, down in Maryland.

0:15:28.360 --> 0:15:31.000
<v Speaker 7>So I'm not sure that we should be extrapolating massive

0:15:31.120 --> 0:15:33.720
<v Speaker 7>themes about kind of the future of the Democratic Party.

0:15:34.040 --> 0:15:36.800
<v Speaker 7>But what is clear from on the Republican side and

0:15:36.920 --> 0:15:39.800
<v Speaker 7>Democratic side, and people are angry and they're mad at

0:15:39.800 --> 0:15:41.960
<v Speaker 7>incumbents and they're taking them out on this sort of

0:15:42.040 --> 0:15:43.440
<v Speaker 7>the political class, if you will.

0:15:43.720 --> 0:15:46.560
<v Speaker 4>Democratic socialists not really even sure what that is. But

0:15:47.080 --> 0:15:48.120
<v Speaker 4>is that a national thing?

0:15:48.920 --> 0:15:51.640
<v Speaker 7>Well again I think, I mean, it's definitely a thing

0:15:51.920 --> 0:15:54.600
<v Speaker 7>in the urban cities. So what you've seen in LA,

0:15:54.840 --> 0:15:56.760
<v Speaker 7>what you're seeing in Washington, DC, and you can hear

0:15:56.840 --> 0:16:01.120
<v Speaker 7>in New York. So and again, what do democratic socialist

0:16:01.160 --> 0:16:04.600
<v Speaker 7>stand for? I think it is pretty amorphous, honestly. But

0:16:04.880 --> 0:16:09.360
<v Speaker 7>their their outreach, their grassroots, they're organizing, I mean, it

0:16:09.440 --> 0:16:11.800
<v Speaker 7>has been you know, seller and as a result they

0:16:11.840 --> 0:16:15.160
<v Speaker 7>are doing well in these cities. Again, I would just

0:16:15.280 --> 0:16:19.280
<v Speaker 7>be were I would not extrapolate necessarily to national politics.

0:16:19.360 --> 0:16:23.320
<v Speaker 7>New York City, LA, Washington, d C. Obviously very you know,

0:16:23.440 --> 0:16:24.720
<v Speaker 7>very different. The only the other thing I think just

0:16:24.800 --> 0:16:27.760
<v Speaker 7>to remember is that, like we haven't gotten the final

0:16:27.960 --> 0:16:31.880
<v Speaker 7>voter turnout figures, but it's like ten percent of voters

0:16:32.000 --> 0:16:32.800
<v Speaker 7>voted last night.

0:16:32.960 --> 0:16:34.200
<v Speaker 6>If that okay, I get it.

0:16:34.240 --> 0:16:35.560
<v Speaker 2>That forty two people voted.

0:16:36.960 --> 0:16:37.520
<v Speaker 7>Were you one of them?

0:16:37.560 --> 0:16:40.720
<v Speaker 2>Okay? But here's the sub sub headline in the Washington Post.

0:16:41.120 --> 0:16:45.480
<v Speaker 2>How can Jeffries back candidates lose key primary races? How

0:16:45.560 --> 0:16:50.000
<v Speaker 2>do the Jeffries How does a mainstream Democrat in Michigan

0:16:50.880 --> 0:16:55.120
<v Speaker 2>adapt and adjust to this anger? This is Laura says,

0:16:55.480 --> 0:16:57.560
<v Speaker 2>this anti establishment anger.

0:16:58.680 --> 0:17:00.320
<v Speaker 7>Well, so again, I mean I think they'll try to

0:17:00.400 --> 0:17:02.280
<v Speaker 7>tap into this. I mean, this is a theme. We're

0:17:02.360 --> 0:17:04.760
<v Speaker 7>just seeing this. So whatever your labels you put on it,

0:17:05.200 --> 0:17:08.879
<v Speaker 7>you're seeing that voters are angry about gas and groceries

0:17:09.000 --> 0:17:12.200
<v Speaker 7>and housing and healthcare and now AI is the new boogeyman.

0:17:12.720 --> 0:17:15.040
<v Speaker 7>And so you know, I think that what democrats who

0:17:15.040 --> 0:17:17.600
<v Speaker 7>are moderate, who are winning and need to win and

0:17:17.680 --> 0:17:20.320
<v Speaker 7>kind of purple, if not reddish districts, they'll try to

0:17:20.400 --> 0:17:22.560
<v Speaker 7>kind of tap into the bigger themes and try to

0:17:22.560 --> 0:17:25.040
<v Speaker 7>stay away from the labels. Now, of course, question if

0:17:25.080 --> 0:17:27.040
<v Speaker 7>they can do that. Think Republicans are going to try

0:17:27.040 --> 0:17:30.800
<v Speaker 7>to be smart about pinning Mamdani on the entire Democratic Party.

0:17:31.240 --> 0:17:33.120
<v Speaker 7>As we know, Democrats are a big tent, so they'll

0:17:33.119 --> 0:17:35.159
<v Speaker 7>think they'll try to they'll try to use that as

0:17:35.280 --> 0:17:36.399
<v Speaker 7>their kind of rationalization.

0:17:36.560 --> 0:17:40.080
<v Speaker 4>Please, So, most of our viewers and listeners were just

0:17:40.240 --> 0:17:43.440
<v Speaker 4>enjoying the early early days of summer, but boy, the

0:17:43.560 --> 0:17:46.880
<v Speaker 4>midterms are right around the corner. What's the feeling these

0:17:47.000 --> 0:17:49.040
<v Speaker 4>days about how this might lay out in mid terms?

0:17:49.119 --> 0:17:53.560
<v Speaker 7>Well, look, I think that Well, again, anti incumbency, I

0:17:53.600 --> 0:17:56.120
<v Speaker 7>think this, and so you know, I would argue that Democrats,

0:17:56.200 --> 0:17:58.120
<v Speaker 7>we are a casualty of this. In twenty twenty four,

0:17:58.640 --> 0:18:02.280
<v Speaker 7>voters were angry. Then they put President Trump obviously pretty

0:18:02.320 --> 0:18:05.840
<v Speaker 7>unequivocally into the White House. Republicans won both chambers. I

0:18:05.880 --> 0:18:07.200
<v Speaker 7>think you're going to see a little bit of a

0:18:07.280 --> 0:18:11.200
<v Speaker 7>reversal of that now the Democrats or Democrats probably winning

0:18:11.240 --> 0:18:13.840
<v Speaker 7>the House. I think those Republicans will still keep the Senate.

0:18:14.200 --> 0:18:17.480
<v Speaker 7>But again, I think that the overall theme is that

0:18:17.720 --> 0:18:22.639
<v Speaker 7>the political establishment is not working for voters, and voters

0:18:22.680 --> 0:18:25.840
<v Speaker 7>will take that out on either party, with all parties.

0:18:25.640 --> 0:18:28.640
<v Speaker 2>With all your connections, with all your heritage to Washington.

0:18:29.280 --> 0:18:34.399
<v Speaker 2>If there's a four box dilemma, the basic idea that

0:18:34.520 --> 0:18:38.320
<v Speaker 2>if the Democrats mess this up mid term in presidential

0:18:38.440 --> 0:18:41.920
<v Speaker 2>twenty eight, that the Republicans will win again. Can the

0:18:42.040 --> 0:18:46.680
<v Speaker 2>Democrats get their act together and coalesce into a winning message?

0:18:47.040 --> 0:18:49.840
<v Speaker 7>They have to be something other than just anti Trump.

0:18:50.320 --> 0:18:52.560
<v Speaker 7>And because they are kind of a bunch of cats

0:18:52.600 --> 0:18:56.200
<v Speaker 7>and dogs, a big umbrella party, I viewers, that's the history.

0:18:56.240 --> 0:18:57.840
<v Speaker 7>Of course, it's a big tent. You know, this is

0:18:57.880 --> 0:19:00.159
<v Speaker 7>sort of the heritage of the Democratic Party. You know

0:19:00.480 --> 0:19:05.119
<v Speaker 7>very well, Tom. So you can they though, coalesce around

0:19:05.800 --> 0:19:09.480
<v Speaker 7>several key themes or key messages that are not just

0:19:09.680 --> 0:19:12.160
<v Speaker 7>anti Trump. That has been the glue for the party

0:19:12.200 --> 0:19:15.200
<v Speaker 7>since twenty sixteen. I think it's a it's a pretty

0:19:15.280 --> 0:19:17.680
<v Speaker 7>fragile base in order to win a launch.

0:19:17.720 --> 0:19:18.639
<v Speaker 2>Can you come back tomorrow?

0:19:20.200 --> 0:19:23.840
<v Speaker 6>Well, I promise, well, ye, we'll talk to thanks tomorrow.

0:19:23.920 --> 0:19:26.800
<v Speaker 2>Let me caret. Thank you so much for that. Stay

0:19:26.840 --> 0:19:30.600
<v Speaker 2>with us. More from Bloomberg Surveillance coming up after this.

0:19:37.960 --> 0:19:41.520
<v Speaker 1>You're listening to the Bloomberg Surveillance podcast. Catch us live

0:19:41.640 --> 0:19:44.720
<v Speaker 1>weekday afternoons from seven to ten am Eastern. Listen on

0:19:44.880 --> 0:19:48.160
<v Speaker 1>Apple Karplay and Android Auto with the Bloomberg Business app,

0:19:48.440 --> 0:19:50.160
<v Speaker 1>or watch us live on YouTube.

0:19:50.800 --> 0:19:56.000
<v Speaker 2>Our guest here I'm Detroit, but also on his Cleveland Cavaliers.

0:19:56.640 --> 0:19:59.320
<v Speaker 2>Jared Fleischer joins us right now the pet and Bogs

0:19:59.359 --> 0:20:02.359
<v Speaker 2>with Bedrock Detroit. I want to talk about Detroit, but

0:20:02.480 --> 0:20:05.480
<v Speaker 2>what I really want to talk about is Dan Gilbert.

0:20:05.800 --> 0:20:10.239
<v Speaker 2>Like his father or grandfather lily washed cars. Yes, they

0:20:10.440 --> 0:20:15.200
<v Speaker 2>started out classically with next to nothing. How did that

0:20:15.280 --> 0:20:18.680
<v Speaker 2>affect you? Every day? That the big guy owns the

0:20:18.680 --> 0:20:22.800
<v Speaker 2>Cleveland Cavalies and others, they there's an internal energy there

0:20:23.400 --> 0:20:24.000
<v Speaker 2>like no other.

0:20:24.280 --> 0:20:27.480
<v Speaker 6>I think Dan Gilbert represents the American dream, but also

0:20:27.600 --> 0:20:30.399
<v Speaker 6>the best of America. You know, came from nothing. His

0:20:30.560 --> 0:20:32.520
<v Speaker 6>parents owned a bar in a in a rough area

0:20:32.600 --> 0:20:35.919
<v Speaker 6>of Detroit. That's how he grew up. Left himself up

0:20:35.960 --> 0:20:38.520
<v Speaker 6>by the bootstraps, you know, went to Michigan State University,

0:20:38.920 --> 0:20:41.480
<v Speaker 6>ran a little gambling room out of his dorm, gambling

0:20:41.560 --> 0:20:43.360
<v Speaker 6>ring out of his dorm room to make some money

0:20:43.400 --> 0:20:45.119
<v Speaker 6>when he was at MSU. This is this is a

0:20:45.119 --> 0:20:49.080
<v Speaker 6>guy's a hustler. Started a little brick and mortar mortgage company,

0:20:49.680 --> 0:20:52.119
<v Speaker 6>and it was the first to see the vision of

0:20:52.200 --> 0:20:56.920
<v Speaker 6>bringing mortgages national and online. And really basically, you know,

0:20:57.000 --> 0:21:00.800
<v Speaker 6>from basically is his basement, built the largest mortgage lender

0:21:00.840 --> 0:21:02.880
<v Speaker 6>in the United States of America, bigger than the big banks,

0:21:02.920 --> 0:21:05.040
<v Speaker 6>and took the profits from that and turned around Detroit

0:21:05.119 --> 0:21:05.760
<v Speaker 6>and turned around.

0:21:06.119 --> 0:21:08.600
<v Speaker 2>Ross Family in Miami. From day one, he gave it

0:21:08.760 --> 0:21:13.520
<v Speaker 2>back population growth in Detroit in twenty twenty five, what's

0:21:13.600 --> 0:21:16.800
<v Speaker 2>the final catalyst to get people in Gross Point to

0:21:16.920 --> 0:21:18.080
<v Speaker 2>move back into Detroit?

0:21:18.480 --> 0:21:22.359
<v Speaker 6>Before Dan, the last time Detroit grew is nineteen fifty seven.

0:21:22.680 --> 0:21:26.760
<v Speaker 6>Detroit's peak population is one point nine million, trunk all

0:21:26.800 --> 0:21:29.399
<v Speaker 6>the way to six hundred and thirty thousand. With Dan's

0:21:29.480 --> 0:21:32.760
<v Speaker 6>investments in the city, it's growing for the first time

0:21:32.840 --> 0:21:36.320
<v Speaker 6>starting in twenty twenty four. It's leading the state of

0:21:36.400 --> 0:21:38.960
<v Speaker 6>Michigan in growth. In Dan's whole thesis is if we

0:21:39.080 --> 0:21:42.240
<v Speaker 6>invest in place and we turned Detroit into a cool

0:21:42.320 --> 0:21:44.440
<v Speaker 6>city we were talking earlier, making it like you know,

0:21:44.520 --> 0:21:47.119
<v Speaker 6>Williamsburg in Brooklyn, where the young people want to be.

0:21:47.800 --> 0:21:49.680
<v Speaker 6>It works. You create that kind of place the young

0:21:49.720 --> 0:21:51.840
<v Speaker 6>people come. When you have talented young people, then you

0:21:51.960 --> 0:21:54.240
<v Speaker 6>get business and you create a virtuous cycle. That's what

0:21:54.280 --> 0:21:55.760
<v Speaker 6>we're seeing in Detroit and Cleveland.

0:21:56.200 --> 0:21:59.160
<v Speaker 4>Talk to us about just the economic drivers of Detroit

0:21:59.240 --> 0:22:02.600
<v Speaker 4>has many of our listeners and viewers, they'll think auto

0:22:02.680 --> 0:22:05.439
<v Speaker 4>industry much like I think Texas energy. But it's different.

0:22:05.560 --> 0:22:05.679
<v Speaker 2>Now.

0:22:05.840 --> 0:22:08.280
<v Speaker 4>Talk to us about the economic drivers in Detroit.

0:22:08.720 --> 0:22:08.920
<v Speaker 2>Yeah.

0:22:09.080 --> 0:22:12.640
<v Speaker 6>So, uh, you know, the auto industry still dominates our state,

0:22:12.760 --> 0:22:14.639
<v Speaker 6>you know, the home of the Big three and the

0:22:14.720 --> 0:22:17.119
<v Speaker 6>whole and the supply chains. You know, our region is

0:22:17.160 --> 0:22:20.040
<v Speaker 6>still a big economic region four point one million people.

0:22:20.680 --> 0:22:23.639
<v Speaker 6>But what you saw, you know, over a generation, was

0:22:23.800 --> 0:22:26.800
<v Speaker 6>all that economic activity leave Detroit and as you saw

0:22:26.920 --> 0:22:30.119
<v Speaker 6>kind of broader de industrialization and the globalization the auto industry,

0:22:30.160 --> 0:22:33.080
<v Speaker 6>you saw, you know, the whole economic footprint in Michigan's shrink.

0:22:33.600 --> 0:22:36.680
<v Speaker 6>And so what we're trying to do is diversify our economy.

0:22:37.080 --> 0:22:39.680
<v Speaker 6>Mortgage is a big part of our economy in Michigan.

0:22:39.760 --> 0:22:42.840
<v Speaker 6>Increasingly tech it's a big part of our economy. Heads

0:22:42.880 --> 0:22:45.240
<v Speaker 6>and meds, you know, with innovation and healthcare is a

0:22:45.280 --> 0:22:48.000
<v Speaker 6>big part of our economy. But Dan's whole thesis is

0:22:48.240 --> 0:22:50.200
<v Speaker 6>it starts with place. If we turned Detroit, we just

0:22:50.240 --> 0:22:53.680
<v Speaker 6>got great bones, such history on the river all for

0:22:53.880 --> 0:22:57.359
<v Speaker 6>sports teams, downtown great bars, restaurants. If we build you know,

0:22:57.440 --> 0:23:00.320
<v Speaker 6>the kind of Williamsburg like environment that attracts young people.

0:23:00.480 --> 0:23:01.639
<v Speaker 6>That's how you start the engine.

0:23:01.640 --> 0:23:04.840
<v Speaker 2>Okay, you're tan inrested from working in patent bogs in Washington.

0:23:04.920 --> 0:23:07.359
<v Speaker 2>You go out to the war zone there. Can you

0:23:07.600 --> 0:23:11.439
<v Speaker 2>explain to Detroit into Michigan that the Gordi Hell Bridge

0:23:11.520 --> 0:23:13.919
<v Speaker 2>is not open cold you be here?

0:23:14.400 --> 0:23:18.399
<v Speaker 6>You know the Gordie how Bridge, which is a connection

0:23:18.560 --> 0:23:23.680
<v Speaker 6>between Detroit and Windsor, Canada, the busiest overland trade corridor

0:23:23.760 --> 0:23:26.920
<v Speaker 6>in the country or the second busiest. Canada financed the

0:23:27.000 --> 0:23:30.560
<v Speaker 6>construction of the bridge one percent. Canada even built the

0:23:30.720 --> 0:23:34.960
<v Speaker 6>toll plaza on the US side. And the deal is

0:23:35.160 --> 0:23:37.320
<v Speaker 6>so that can say, put up all the money they

0:23:37.359 --> 0:23:38.600
<v Speaker 6>get the tolls from.

0:23:40.400 --> 0:23:41.400
<v Speaker 2>Utreo exactly.

0:23:41.480 --> 0:23:43.719
<v Speaker 6>That was the deal until they get paid back. And uh,

0:23:44.160 --> 0:23:47.240
<v Speaker 6>there's some people, you know at sixteen hundred Pennsylvania Avenue

0:23:47.240 --> 0:23:49.280
<v Speaker 6>who think that was not a good deal and are

0:23:49.560 --> 0:23:52.920
<v Speaker 6>holding up the opening of the bridge. Not quite sure

0:23:52.960 --> 0:23:55.240
<v Speaker 6>you can get a better deal than somebody paying for something.

0:23:56.160 --> 0:24:01.159
<v Speaker 4>Yeah, so what's next for Detroit here? Talk to us

0:24:01.160 --> 0:24:02.600
<v Speaker 4>about kind of how you guys are thinking about the

0:24:02.640 --> 0:24:04.080
<v Speaker 4>next five years, ten years.

0:24:04.359 --> 0:24:04.560
<v Speaker 2>Yeah.

0:24:05.000 --> 0:24:07.680
<v Speaker 6>So the last ten years Dan's focus in Detroit was

0:24:08.080 --> 0:24:10.240
<v Speaker 6>on our north South corridor, which is we call it

0:24:10.280 --> 0:24:13.040
<v Speaker 6>Woodward Avenue, think about it like Fifth Avenue here your

0:24:13.240 --> 0:24:16.119
<v Speaker 6>main avenue. And then for the next ten to fifteen

0:24:16.160 --> 0:24:18.840
<v Speaker 6>years it's on our riverfront, on our riverfront, which our

0:24:18.840 --> 0:24:21.680
<v Speaker 6>east west axis. The big anchor of our riverfront is

0:24:21.920 --> 0:24:24.479
<v Speaker 6>the Renaissance Center, which to give you a sense how

0:24:24.560 --> 0:24:26.560
<v Speaker 6>big this building is, it's twice the size of the

0:24:26.560 --> 0:24:29.720
<v Speaker 6>Empire State Building built by Henry Ford. The second former

0:24:29.800 --> 0:24:33.760
<v Speaker 6>home of the General Motors Corporation, big empty, empty office

0:24:33.880 --> 0:24:37.080
<v Speaker 6>complex looming over the riverfront. We're going to do the

0:24:37.240 --> 0:24:40.679
<v Speaker 6>most ambitious and complex adaptive reuse project in the country,

0:24:41.000 --> 0:24:43.240
<v Speaker 6>bring that thing back to life and redevelop our whole

0:24:43.359 --> 0:24:46.960
<v Speaker 6>riverfront in Detroit. You know, there's a lot of models

0:24:46.960 --> 0:24:48.679
<v Speaker 6>of how New York is brought back its riverfront. We're

0:24:48.680 --> 0:24:49.680
<v Speaker 6>gonna try to do the same in Detroit.

0:24:49.800 --> 0:24:51.600
<v Speaker 2>Chure Fleas, sure, thank you. So this is don't be

0:24:51.680 --> 0:24:55.359
<v Speaker 2>a stranger Bedrock Detroit on one of the great great

0:24:55.560 --> 0:24:57.280
<v Speaker 2>comebacks in America.

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<v Speaker 1>This is the Bloomberg Surveillance podcast, available on Apple, Spotify,

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<v Speaker 1>and anywhere else you get your podcasts. Listen live each weekday,

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